diff --git a/.github/workflows/airflow-plugin.yml b/.github/workflows/airflow-plugin.yml index a9be56a69560ca..2c931162fb006c 100644 --- a/.github/workflows/airflow-plugin.yml +++ b/.github/workflows/airflow-plugin.yml @@ -61,7 +61,7 @@ jobs: with: distribution: "zulu" java-version: 17 - - uses: gradle/gradle-build-action@v2 + - uses: gradle/actions/setup-gradle@v3 - uses: acryldata/sane-checkout-action@v3 - uses: actions/setup-python@v4 with: diff --git a/.github/workflows/build-and-test.yml b/.github/workflows/build-and-test.yml index 3f37fffc599bb7..c93267947b65a8 100644 --- a/.github/workflows/build-and-test.yml +++ b/.github/workflows/build-and-test.yml @@ -67,7 +67,7 @@ jobs: with: distribution: "zulu" java-version: 17 - - uses: gradle/gradle-build-action@v2 + - uses: gradle/actions/setup-gradle@v3 - uses: actions/setup-python@v4 if: ${{ needs.setup.outputs.ingestion_change == 'true' }} with: diff --git a/.github/workflows/check-datahub-jars.yml b/.github/workflows/check-datahub-jars.yml index ca3510217f74a1..b45d130e0494dd 100644 --- a/.github/workflows/check-datahub-jars.yml +++ b/.github/workflows/check-datahub-jars.yml @@ -33,7 +33,7 @@ jobs: with: distribution: "zulu" java-version: 17 - - uses: gradle/gradle-build-action@v2 + - uses: gradle/actions/setup-gradle@v3 - uses: actions/setup-python@v4 with: python-version: "3.10" diff --git a/.github/workflows/docker-unified.yml b/.github/workflows/docker-unified.yml index 53ecb762912b7e..9487e71e8da3d1 100644 --- a/.github/workflows/docker-unified.yml +++ b/.github/workflows/docker-unified.yml @@ -126,7 +126,7 @@ jobs: with: distribution: "zulu" java-version: 17 - - uses: gradle/gradle-build-action@v2 + - uses: gradle/actions/setup-gradle@v3 - name: Run lint on smoke test if: ${{ steps.ci-optimize.outputs.smoke-test-change == 'true' }} run: | @@ -145,7 +145,7 @@ jobs: with: distribution: "zulu" java-version: 17 - - uses: gradle/gradle-build-action@v2 + - uses: gradle/actions/setup-gradle@v3 - name: Check out the repo uses: acryldata/sane-checkout-action@v3 - name: Pre-build artifacts for docker image @@ -209,7 +209,7 @@ jobs: with: distribution: "zulu" java-version: 17 - - uses: gradle/gradle-build-action@v2 + - uses: gradle/actions/setup-gradle@v3 - name: Check out the repo uses: acryldata/sane-checkout-action@v3 - name: Pre-build artifacts for docker image @@ -273,7 +273,7 @@ jobs: with: distribution: "zulu" java-version: 17 - - uses: gradle/gradle-build-action@v2 + - uses: gradle/actions/setup-gradle@v3 - name: Check out the repo uses: acryldata/sane-checkout-action@v3 - name: Pre-build artifacts for docker image @@ -337,7 +337,7 @@ jobs: with: distribution: "zulu" java-version: 17 - - uses: gradle/gradle-build-action@v2 + - uses: gradle/actions/setup-gradle@v3 - name: Check out the repo uses: acryldata/sane-checkout-action@v3 - name: Pre-build artifacts for docker image @@ -401,7 +401,7 @@ jobs: with: distribution: "zulu" java-version: 17 - - uses: gradle/gradle-build-action@v2 + - uses: gradle/actions/setup-gradle@v3 - name: Check out the repo uses: acryldata/sane-checkout-action@v3 - name: Pre-build artifacts for docker image @@ -643,7 +643,7 @@ jobs: with: distribution: "zulu" java-version: 17 - - uses: gradle/gradle-build-action@v2 + - uses: gradle/actions/setup-gradle@v3 - name: Check out the repo uses: acryldata/sane-checkout-action@v3 - name: Build codegen @@ -730,7 +730,7 @@ jobs: with: distribution: "zulu" java-version: 17 - - uses: gradle/gradle-build-action@v2 + - uses: gradle/actions/setup-gradle@v3 - name: Check out the repo uses: acryldata/sane-checkout-action@v3 - name: Build codegen @@ -857,7 +857,7 @@ jobs: with: distribution: "zulu" java-version: 17 - - uses: gradle/gradle-build-action@v2 + - uses: gradle/actions/setup-gradle@v3 - uses: actions/setup-python@v4 with: python-version: "3.10" diff --git a/.github/workflows/documentation.yml b/.github/workflows/documentation.yml index ab7890ad5b44f9..99c1ad466b669d 100644 --- a/.github/workflows/documentation.yml +++ b/.github/workflows/documentation.yml @@ -38,7 +38,7 @@ jobs: with: distribution: "zulu" java-version: 17 - - uses: gradle/gradle-build-action@v2 + - uses: gradle/actions/setup-gradle@v3 - uses: actions/setup-python@v4 with: python-version: "3.10" diff --git a/.github/workflows/metadata-ingestion.yml b/.github/workflows/metadata-ingestion.yml index c978a8ff09b5e6..51b97552eb150a 100644 --- a/.github/workflows/metadata-ingestion.yml +++ b/.github/workflows/metadata-ingestion.yml @@ -51,7 +51,7 @@ jobs: with: distribution: "zulu" java-version: 17 - - uses: gradle/gradle-build-action@v2 + - uses: gradle/actions/setup-gradle@v3 - uses: acryldata/sane-checkout-action@v3 - uses: actions/setup-python@v4 with: diff --git a/.github/workflows/metadata-io.yml b/.github/workflows/metadata-io.yml index c59675cf006142..6797c7ad67c0b6 100644 --- a/.github/workflows/metadata-io.yml +++ b/.github/workflows/metadata-io.yml @@ -53,7 +53,7 @@ jobs: with: distribution: "zulu" java-version: 17 - - uses: gradle/gradle-build-action@v2 + - uses: gradle/actions/setup-gradle@v3 - uses: actions/setup-python@v4 if: ${{ needs.setup.outputs.ingestion_change == 'true' }} with: diff --git a/.github/workflows/metadata-model.yml b/.github/workflows/metadata-model.yml index 239d2d991915c0..558b7c80f727c1 100644 --- a/.github/workflows/metadata-model.yml +++ b/.github/workflows/metadata-model.yml @@ -34,7 +34,7 @@ jobs: with: distribution: "zulu" java-version: 17 - - uses: gradle/gradle-build-action@v2 + - uses: gradle/actions/setup-gradle@v3 - uses: acryldata/sane-checkout-action@v3 - uses: actions/setup-python@v4 with: diff --git a/.github/workflows/pr-labeler.yml b/.github/workflows/pr-labeler.yml index 4fdb4a5b92e4d6..77874abedaabd0 100644 --- a/.github/workflows/pr-labeler.yml +++ b/.github/workflows/pr-labeler.yml @@ -40,12 +40,12 @@ jobs: "RyanHolstien", "Kunal-kankriya", "purnimagarg1", - "gaurav2733", "dushayntAW", - "AvaniSiddhapuraAPT", - "akarsh991", - "shubhamjagtap639", - "mayurinehate" + "sagar-salvi-apptware", + "kushagra-apptware", + "Salman-Apptware", + "mayurinehate", + "noggi" ]'), github.actor ) diff --git a/.github/workflows/publish-datahub-jars.yml b/.github/workflows/publish-datahub-jars.yml index 46421c8e5b8eba..7137302c73564c 100644 --- a/.github/workflows/publish-datahub-jars.yml +++ b/.github/workflows/publish-datahub-jars.yml @@ -54,7 +54,7 @@ jobs: with: distribution: "zulu" java-version: 17 - - uses: gradle/gradle-build-action@v2 + - uses: gradle/actions/setup-gradle@v3 - uses: actions/setup-python@v4 with: python-version: "3.10" @@ -167,3 +167,29 @@ jobs: echo signingKey=$SIGNING_KEY >> gradle.properties ./gradlew -PreleaseVersion=${{ needs.setup.outputs.tag }} :metadata-auth:auth-api:publish ./gradlew :metadata-auth:auth-api:closeAndReleaseRepository --info + - name: publish datahub-custom-plugin-lib snapshot jar + if: ${{ github.event_name != 'release' }} + env: + RELEASE_USERNAME: ${{ secrets.RELEASE_USERNAME }} + RELEASE_PASSWORD: ${{ secrets.RELEASE_PASSWORD }} + SIGNING_PASSWORD: ${{ secrets.SIGNING_PASSWORD }} + SIGNING_KEY: ${{ secrets.SIGNING_KEY }} + NEXUS_USERNAME: ${{ secrets.NEXUS_USERNAME }} + NEXUS_PASSWORD: ${{ secrets.NEXUS_PASSWORD }} + run: | + echo signingKey=$SIGNING_KEY >> gradle.properties + ./gradlew :metadata-integration:java:custom-plugin-lib:printVersion + ./gradlew :metadata-integration:java:custom-plugin-lib:publish + - name: release datahub-custom-plugin-lib jar + if: ${{ github.event_name == 'release' }} + env: + RELEASE_USERNAME: ${{ secrets.RELEASE_USERNAME }} + RELEASE_PASSWORD: ${{ secrets.RELEASE_PASSWORD }} + SIGNING_PASSWORD: ${{ secrets.SIGNING_PASSWORD }} + SIGNING_KEY: ${{ secrets.SIGNING_KEY }} + NEXUS_USERNAME: ${{ secrets.NEXUS_USERNAME }} + NEXUS_PASSWORD: ${{ secrets.NEXUS_PASSWORD }} + run: | + echo signingKey=$SIGNING_KEY >> gradle.properties + ./gradlew -PreleaseVersion=${{ needs.setup.outputs.tag }} :metadata-integration:java:custom-plugin-lib:publish + ./gradlew :metadata-integration:java:custom-plugin-lib:closeAndReleaseRepository --info diff --git a/.github/workflows/spark-smoke-test.yml b/.github/workflows/spark-smoke-test.yml index d143906bc7ccb6..8ffc8420ba9413 100644 --- a/.github/workflows/spark-smoke-test.yml +++ b/.github/workflows/spark-smoke-test.yml @@ -35,7 +35,7 @@ jobs: with: distribution: "zulu" java-version: 17 - - uses: gradle/gradle-build-action@v2 + - uses: gradle/actions/setup-gradle@v3 - uses: actions/setup-python@v4 with: python-version: "3.10" diff --git a/datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/GmsGraphQLEngine.java b/datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/GmsGraphQLEngine.java index 6f2e250c17c34e..b751849859be47 100644 --- a/datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/GmsGraphQLEngine.java +++ b/datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/GmsGraphQLEngine.java @@ -59,6 +59,7 @@ import com.linkedin.datahub.graphql.generated.DataQualityContract; import com.linkedin.datahub.graphql.generated.Dataset; import com.linkedin.datahub.graphql.generated.DatasetStatsSummary; +import com.linkedin.datahub.graphql.generated.Deprecation; import com.linkedin.datahub.graphql.generated.Domain; import com.linkedin.datahub.graphql.generated.ERModelRelationship; import com.linkedin.datahub.graphql.generated.ERModelRelationshipProperties; @@ -172,8 +173,11 @@ import com.linkedin.datahub.graphql.resolvers.form.BatchAssignFormResolver; import com.linkedin.datahub.graphql.resolvers.form.BatchRemoveFormResolver; import com.linkedin.datahub.graphql.resolvers.form.CreateDynamicFormAssignmentResolver; +import com.linkedin.datahub.graphql.resolvers.form.CreateFormResolver; +import com.linkedin.datahub.graphql.resolvers.form.DeleteFormResolver; import com.linkedin.datahub.graphql.resolvers.form.IsFormAssignedToMeResolver; import com.linkedin.datahub.graphql.resolvers.form.SubmitFormPromptResolver; +import com.linkedin.datahub.graphql.resolvers.form.UpdateFormResolver; import com.linkedin.datahub.graphql.resolvers.form.VerifyFormResolver; import com.linkedin.datahub.graphql.resolvers.glossary.AddRelatedTermsResolver; import com.linkedin.datahub.graphql.resolvers.glossary.CreateGlossaryNodeResolver; @@ -285,6 +289,9 @@ import com.linkedin.datahub.graphql.resolvers.settings.view.UpdateGlobalViewsSettingsResolver; import com.linkedin.datahub.graphql.resolvers.step.BatchGetStepStatesResolver; import com.linkedin.datahub.graphql.resolvers.step.BatchUpdateStepStatesResolver; +import com.linkedin.datahub.graphql.resolvers.structuredproperties.CreateStructuredPropertyResolver; +import com.linkedin.datahub.graphql.resolvers.structuredproperties.RemoveStructuredPropertiesResolver; +import com.linkedin.datahub.graphql.resolvers.structuredproperties.UpdateStructuredPropertyResolver; import com.linkedin.datahub.graphql.resolvers.structuredproperties.UpsertStructuredPropertiesResolver; import com.linkedin.datahub.graphql.resolvers.tag.CreateTagResolver; import com.linkedin.datahub.graphql.resolvers.tag.DeleteTagResolver; @@ -782,6 +789,7 @@ public void configureRuntimeWiring(final RuntimeWiring.Builder builder) { configureBusinessAttributeResolver(builder); configureBusinessAttributeAssociationResolver(builder); configureConnectionResolvers(builder); + configureDeprecationResolvers(builder); } private void configureOrganisationRoleResolvers(RuntimeWiring.Builder builder) { @@ -1316,10 +1324,23 @@ private void configureMutationResolvers(final RuntimeWiring.Builder builder) { .dataFetcher( "upsertStructuredProperties", new UpsertStructuredPropertiesResolver(this.entityClient)) + .dataFetcher( + "removeStructuredProperties", + new RemoveStructuredPropertiesResolver(this.entityClient)) + .dataFetcher( + "createStructuredProperty", + new CreateStructuredPropertyResolver(this.entityClient)) + .dataFetcher( + "updateStructuredProperty", + new UpdateStructuredPropertyResolver(this.entityClient)) .dataFetcher("raiseIncident", new RaiseIncidentResolver(this.entityClient)) .dataFetcher( "updateIncidentStatus", - new UpdateIncidentStatusResolver(this.entityClient, this.entityService)); + new UpdateIncidentStatusResolver(this.entityClient, this.entityService)) + .dataFetcher( + "createForm", new CreateFormResolver(this.entityClient, this.formService)) + .dataFetcher("deleteForm", new DeleteFormResolver(this.entityClient)) + .dataFetcher("updateForm", new UpdateFormResolver(this.entityClient)); if (featureFlags.isBusinessAttributeEntityEnabled()) { typeWiring .dataFetcher( @@ -3143,4 +3164,14 @@ private void configureConnectionResolvers(final RuntimeWiring.Builder builder) { : null; }))); } + + private void configureDeprecationResolvers(final RuntimeWiring.Builder builder) { + builder.type( + "Deprecation", + typeWiring -> + typeWiring.dataFetcher( + "actorEntity", + new EntityTypeResolver( + entityTypes, (env) -> ((Deprecation) env.getSource()).getActorEntity()))); + } } diff --git a/datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/authorization/AuthorizationUtils.java b/datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/authorization/AuthorizationUtils.java index c16e436a7805c4..b9b4e4f4ef292b 100644 --- a/datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/authorization/AuthorizationUtils.java +++ b/datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/authorization/AuthorizationUtils.java @@ -5,6 +5,7 @@ import static com.linkedin.metadata.Constants.*; import static com.linkedin.metadata.authorization.ApiOperation.DELETE; import static com.linkedin.metadata.authorization.ApiOperation.MANAGE; +import static com.linkedin.metadata.authorization.PoliciesConfig.MANAGE_ACCESS_TOKENS; import com.datahub.authorization.AuthUtil; import com.datahub.authorization.ConjunctivePrivilegeGroup; @@ -52,9 +53,11 @@ public static boolean canManagePolicies(@Nonnull QueryContext context) { public static boolean canGeneratePersonalAccessToken(@Nonnull QueryContext context) { return AuthUtil.isAuthorized( - context.getAuthorizer(), - context.getActorUrn(), - PoliciesConfig.GENERATE_PERSONAL_ACCESS_TOKENS_PRIVILEGE); + context.getAuthorizer(), + context.getActorUrn(), + PoliciesConfig.GENERATE_PERSONAL_ACCESS_TOKENS_PRIVILEGE) + || AuthUtil.isAuthorized( + context.getAuthorizer(), context.getActorUrn(), MANAGE_ACCESS_TOKENS); } public static boolean canManageTokens(@Nonnull QueryContext context) { @@ -381,6 +384,20 @@ public static T restrictEntity(@Nonnull Object entity, Class clazz) { } } + public static boolean canManageStructuredProperties(@Nonnull QueryContext context) { + return AuthUtil.isAuthorized( + context.getAuthorizer(), + context.getActorUrn(), + PoliciesConfig.MANAGE_STRUCTURED_PROPERTIES_PRIVILEGE); + } + + public static boolean canManageForms(@Nonnull QueryContext context) { + return AuthUtil.isAuthorized( + context.getAuthorizer(), + context.getActorUrn(), + PoliciesConfig.MANAGE_DOCUMENTATION_FORMS_PRIVILEGE); + } + public static boolean isAuthorized( @Nonnull Authorizer authorizer, @Nonnull String actor, diff --git a/datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/resolvers/assertion/ReportAssertionResultResolver.java b/datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/resolvers/assertion/ReportAssertionResultResolver.java index b1d2b40933d7e0..b720aa11a8bdc7 100644 --- a/datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/resolvers/assertion/ReportAssertionResultResolver.java +++ b/datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/resolvers/assertion/ReportAssertionResultResolver.java @@ -72,9 +72,10 @@ public CompletableFuture get(DataFetchingEnvironment environment) throw context.getOperationContext(), assertionUrn, asserteeUrn, - input.getTimestampMillis(), - assertionResult, - mapContextParameters(input.getProperties())); + input.getTimestampMillis() != null + ? input.getTimestampMillis() + : System.currentTimeMillis(), + assertionResult); return true; } throw new AuthorizationException( @@ -99,6 +100,9 @@ private AssertionResult mapAssertionResult(AssertionResultInput input) { if (assertionResult.getType() == AssertionResultType.ERROR && input.getError() != null) { assertionResult.setError(mapAssertionResultError(input)); } + if (input.getProperties() != null) { + assertionResult.setNativeResults(mapContextParameters(input.getProperties())); + } return assertionResult; } diff --git a/datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/resolvers/form/CreateFormResolver.java b/datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/resolvers/form/CreateFormResolver.java new file mode 100644 index 00000000000000..e9962464059e6f --- /dev/null +++ b/datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/resolvers/form/CreateFormResolver.java @@ -0,0 +1,83 @@ +package com.linkedin.datahub.graphql.resolvers.form; + +import static com.linkedin.datahub.graphql.resolvers.ResolverUtils.bindArgument; + +import com.linkedin.common.urn.Urn; +import com.linkedin.datahub.graphql.QueryContext; +import com.linkedin.datahub.graphql.authorization.AuthorizationUtils; +import com.linkedin.datahub.graphql.exception.AuthorizationException; +import com.linkedin.datahub.graphql.generated.CreateFormInput; +import com.linkedin.datahub.graphql.generated.CreatePromptInput; +import com.linkedin.datahub.graphql.generated.Form; +import com.linkedin.datahub.graphql.generated.FormPromptType; +import com.linkedin.datahub.graphql.resolvers.mutate.util.FormUtils; +import com.linkedin.datahub.graphql.types.form.FormMapper; +import com.linkedin.entity.EntityResponse; +import com.linkedin.entity.client.EntityClient; +import com.linkedin.form.FormInfo; +import com.linkedin.metadata.Constants; +import com.linkedin.metadata.service.FormService; +import graphql.schema.DataFetcher; +import graphql.schema.DataFetchingEnvironment; +import java.util.List; +import java.util.Objects; +import java.util.concurrent.CompletableFuture; +import javax.annotation.Nonnull; +import javax.annotation.Nullable; + +public class CreateFormResolver implements DataFetcher> { + + private final EntityClient _entityClient; + private final FormService _formService; + + public CreateFormResolver( + @Nonnull final EntityClient entityClient, @Nonnull final FormService formService) { + _entityClient = Objects.requireNonNull(entityClient, "entityClient must not be null"); + _formService = Objects.requireNonNull(formService, "formService must not be null"); + } + + @Override + public CompletableFuture
get(final DataFetchingEnvironment environment) throws Exception { + final QueryContext context = environment.getContext(); + + final CreateFormInput input = + bindArgument(environment.getArgument("input"), CreateFormInput.class); + final FormInfo formInfo = FormUtils.mapFormInfo(input); + + return CompletableFuture.supplyAsync( + () -> { + try { + if (!AuthorizationUtils.canManageForms(context)) { + throw new AuthorizationException("Unable to create form. Please contact your admin."); + } + validatePrompts(input.getPrompts()); + + Urn formUrn = + _formService.createForm(context.getOperationContext(), formInfo, input.getId()); + EntityResponse response = + _entityClient.getV2( + context.getOperationContext(), Constants.FORM_ENTITY_NAME, formUrn, null); + return FormMapper.map(context, response); + } catch (Exception e) { + throw new RuntimeException( + String.format("Failed to perform update against input %s", input), e); + } + }); + } + + private void validatePrompts(@Nullable List prompts) { + if (prompts == null) { + return; + } + prompts.forEach( + prompt -> { + if (prompt.getType().equals(FormPromptType.STRUCTURED_PROPERTY) + || prompt.getType().equals(FormPromptType.FIELDS_STRUCTURED_PROPERTY)) { + if (prompt.getStructuredPropertyParams() == null) { + throw new IllegalArgumentException( + "Provided prompt with type STRUCTURED_PROPERTY or FIELDS_STRUCTURED_PROPERTY and no structured property params"); + } + } + }); + } +} diff --git a/datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/resolvers/form/DeleteFormResolver.java b/datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/resolvers/form/DeleteFormResolver.java new file mode 100644 index 00000000000000..eec6816042a402 --- /dev/null +++ b/datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/resolvers/form/DeleteFormResolver.java @@ -0,0 +1,65 @@ +package com.linkedin.datahub.graphql.resolvers.form; + +import static com.linkedin.datahub.graphql.resolvers.ResolverUtils.bindArgument; + +import com.linkedin.common.urn.Urn; +import com.linkedin.common.urn.UrnUtils; +import com.linkedin.datahub.graphql.QueryContext; +import com.linkedin.datahub.graphql.authorization.AuthorizationUtils; +import com.linkedin.datahub.graphql.exception.AuthorizationException; +import com.linkedin.datahub.graphql.generated.DeleteFormInput; +import com.linkedin.entity.client.EntityClient; +import graphql.schema.DataFetcher; +import graphql.schema.DataFetchingEnvironment; +import java.util.Objects; +import java.util.concurrent.CompletableFuture; +import javax.annotation.Nonnull; +import lombok.extern.slf4j.Slf4j; + +@Slf4j +public class DeleteFormResolver implements DataFetcher> { + + private final EntityClient _entityClient; + + public DeleteFormResolver(@Nonnull final EntityClient entityClient) { + _entityClient = Objects.requireNonNull(entityClient, "entityClient must not be null"); + } + + @Override + public CompletableFuture get(final DataFetchingEnvironment environment) + throws Exception { + final QueryContext context = environment.getContext(); + + final DeleteFormInput input = + bindArgument(environment.getArgument("input"), DeleteFormInput.class); + final Urn formUrn = UrnUtils.getUrn(input.getUrn()); + + return CompletableFuture.supplyAsync( + () -> { + try { + if (!AuthorizationUtils.canManageForms(context)) { + throw new AuthorizationException("Unable to delete form. Please contact your admin."); + } + _entityClient.deleteEntity(context.getOperationContext(), formUrn); + // Asynchronously Delete all references to the entity (to return quickly) + CompletableFuture.runAsync( + () -> { + try { + _entityClient.deleteEntityReferences(context.getOperationContext(), formUrn); + } catch (Exception e) { + log.error( + String.format( + "Caught exception while attempting to clear all entity references for Form with urn %s", + formUrn), + e); + } + }); + + return true; + } catch (Exception e) { + throw new RuntimeException( + String.format("Failed to perform update against input %s", input), e); + } + }); + } +} diff --git a/datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/resolvers/form/UpdateFormResolver.java b/datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/resolvers/form/UpdateFormResolver.java new file mode 100644 index 00000000000000..8b4d1debcd4db9 --- /dev/null +++ b/datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/resolvers/form/UpdateFormResolver.java @@ -0,0 +1,98 @@ +package com.linkedin.datahub.graphql.resolvers.form; + +import static com.linkedin.datahub.graphql.resolvers.ResolverUtils.bindArgument; + +import com.linkedin.common.urn.Urn; +import com.linkedin.common.urn.UrnUtils; +import com.linkedin.datahub.graphql.QueryContext; +import com.linkedin.datahub.graphql.authorization.AuthorizationUtils; +import com.linkedin.datahub.graphql.exception.AuthorizationException; +import com.linkedin.datahub.graphql.generated.Form; +import com.linkedin.datahub.graphql.generated.UpdateFormInput; +import com.linkedin.datahub.graphql.resolvers.mutate.util.FormUtils; +import com.linkedin.datahub.graphql.types.form.FormMapper; +import com.linkedin.entity.EntityResponse; +import com.linkedin.entity.client.EntityClient; +import com.linkedin.form.FormType; +import com.linkedin.metadata.Constants; +import com.linkedin.metadata.aspect.patch.builder.FormInfoPatchBuilder; +import graphql.schema.DataFetcher; +import graphql.schema.DataFetchingEnvironment; +import java.util.Objects; +import java.util.concurrent.CompletableFuture; +import javax.annotation.Nonnull; + +public class UpdateFormResolver implements DataFetcher> { + + private final EntityClient _entityClient; + + public UpdateFormResolver(@Nonnull final EntityClient entityClient) { + _entityClient = Objects.requireNonNull(entityClient, "entityClient must not be null"); + } + + @Override + public CompletableFuture get(final DataFetchingEnvironment environment) throws Exception { + final QueryContext context = environment.getContext(); + + final UpdateFormInput input = + bindArgument(environment.getArgument("input"), UpdateFormInput.class); + final Urn formUrn = UrnUtils.getUrn(input.getUrn()); + + return CompletableFuture.supplyAsync( + () -> { + try { + if (!AuthorizationUtils.canManageForms(context)) { + throw new AuthorizationException("Unable to update form. Please contact your admin."); + } + if (!_entityClient.exists(context.getOperationContext(), formUrn)) { + throw new IllegalArgumentException( + String.format("Form with urn %s does not exist", formUrn)); + } + + FormInfoPatchBuilder patchBuilder = new FormInfoPatchBuilder().urn(formUrn); + if (input.getName() != null) { + patchBuilder.setName(input.getName()); + } + if (input.getDescription() != null) { + patchBuilder.setDescription(input.getDescription()); + } + if (input.getType() != null) { + patchBuilder.setType(FormType.valueOf(input.getType().toString())); + } + if (input.getPromptsToAdd() != null) { + patchBuilder.addPrompts(FormUtils.mapPromptsToAdd(input.getPromptsToAdd())); + } + if (input.getPromptsToRemove() != null) { + patchBuilder.removePrompts(input.getPromptsToRemove()); + } + if (input.getActors() != null) { + if (input.getActors().getOwners() != null) { + patchBuilder.setOwnershipForm(input.getActors().getOwners()); + } + if (input.getActors().getUsersToAdd() != null) { + input.getActors().getUsersToAdd().forEach(patchBuilder::addAssignedUser); + } + if (input.getActors().getUsersToRemove() != null) { + input.getActors().getUsersToRemove().forEach(patchBuilder::removeAssignedUser); + } + if (input.getActors().getGroupsToAdd() != null) { + input.getActors().getGroupsToAdd().forEach(patchBuilder::addAssignedGroup); + } + if (input.getActors().getGroupsToRemove() != null) { + input.getActors().getGroupsToRemove().forEach(patchBuilder::removeAssignedGroup); + } + } + _entityClient.ingestProposal( + context.getOperationContext(), patchBuilder.build(), false); + + EntityResponse response = + _entityClient.getV2( + context.getOperationContext(), Constants.FORM_ENTITY_NAME, formUrn, null); + return FormMapper.map(context, response); + } catch (Exception e) { + throw new RuntimeException( + String.format("Failed to perform update against input %s", input), e); + } + }); + } +} diff --git a/datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/resolvers/mutate/util/FormUtils.java b/datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/resolvers/mutate/util/FormUtils.java index 6caa858460c2f6..17718f39c12387 100644 --- a/datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/resolvers/mutate/util/FormUtils.java +++ b/datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/resolvers/mutate/util/FormUtils.java @@ -1,11 +1,23 @@ package com.linkedin.datahub.graphql.resolvers.mutate.util; +import com.linkedin.common.UrnArray; import com.linkedin.common.urn.Urn; +import com.linkedin.common.urn.UrnUtils; import com.linkedin.datahub.graphql.generated.CreateDynamicFormAssignmentInput; +import com.linkedin.datahub.graphql.generated.CreateFormInput; +import com.linkedin.datahub.graphql.generated.CreatePromptInput; +import com.linkedin.datahub.graphql.generated.FormActorAssignmentInput; +import com.linkedin.datahub.graphql.generated.StructuredPropertyParamsInput; import com.linkedin.datahub.graphql.generated.SubmitFormPromptInput; import com.linkedin.datahub.graphql.resolvers.ResolverUtils; import com.linkedin.form.DynamicFormAssignment; +import com.linkedin.form.FormActorAssignment; import com.linkedin.form.FormInfo; +import com.linkedin.form.FormPrompt; +import com.linkedin.form.FormPromptArray; +import com.linkedin.form.FormPromptType; +import com.linkedin.form.FormType; +import com.linkedin.form.StructuredPropertyParams; import com.linkedin.metadata.aspect.AspectRetriever; import com.linkedin.metadata.query.filter.Condition; import com.linkedin.metadata.query.filter.ConjunctiveCriterion; @@ -14,7 +26,10 @@ import com.linkedin.metadata.query.filter.CriterionArray; import com.linkedin.metadata.query.filter.Filter; import com.linkedin.structured.PrimitivePropertyValueArray; +import java.util.List; import java.util.Objects; +import java.util.UUID; +import java.util.stream.Collectors; import javax.annotation.Nonnull; import javax.annotation.Nullable; @@ -99,4 +114,103 @@ private static boolean isActorExplicitlyAssigned( || (formInfo.getActors().getGroups() != null && formInfo.getActors().getGroups().stream().anyMatch(group -> group.equals(actorUrn))); } + + @Nonnull + public static FormInfo mapFormInfo(@Nonnull final CreateFormInput input) { + Objects.requireNonNull(input, "input must not be null"); + + final FormInfo result = new FormInfo(); + result.setName(input.getName()); + if (input.getDescription() != null) { + result.setDescription(input.getDescription()); + } + if (input.getType() != null) { + result.setType(FormType.valueOf(input.getType().toString())); + } + if (input.getPrompts() != null) { + result.setPrompts(mapPrompts(input.getPrompts())); + } + if (input.getActors() != null) { + result.setActors(mapFormActorAssignment(input.getActors())); + } + + return result; + } + + @Nonnull + public static FormPromptArray mapPrompts(@Nonnull final List promptInputs) { + Objects.requireNonNull(promptInputs, "promptInputs must not be null"); + + final FormPromptArray result = new FormPromptArray(); + promptInputs.forEach( + promptInput -> { + result.add(mapPrompt(promptInput)); + }); + return result; + } + + @Nonnull + public static FormPrompt mapPrompt(@Nonnull final CreatePromptInput promptInput) { + Objects.requireNonNull(promptInput, "promptInput must not be null"); + + final FormPrompt result = new FormPrompt(); + String promptId = + promptInput.getId() != null ? promptInput.getId() : UUID.randomUUID().toString(); + result.setId(promptId); + result.setTitle(promptInput.getTitle()); + if (promptInput.getDescription() != null) { + result.setDescription(promptInput.getDescription()); + } + if (promptInput.getType() != null) { + result.setType(FormPromptType.valueOf(promptInput.getType().toString())); + } + if (promptInput.getStructuredPropertyParams() != null) { + result.setStructuredPropertyParams( + mapStructuredPropertyParams(promptInput.getStructuredPropertyParams())); + } + if (promptInput.getRequired() != null) { + result.setRequired(promptInput.getRequired()); + } + + return result; + } + + @Nonnull + public static StructuredPropertyParams mapStructuredPropertyParams( + @Nonnull final StructuredPropertyParamsInput paramsInput) { + Objects.requireNonNull(paramsInput, "paramsInput must not be null"); + + final StructuredPropertyParams result = new StructuredPropertyParams(); + result.setUrn(UrnUtils.getUrn(paramsInput.getUrn())); + return result; + } + + @Nonnull + public static FormActorAssignment mapFormActorAssignment( + @Nonnull final FormActorAssignmentInput input) { + Objects.requireNonNull(input, "input must not be null"); + + final FormActorAssignment result = new FormActorAssignment(); + if (input.getOwners() != null) { + result.setOwners(input.getOwners()); + } + if (input.getUsers() != null) { + UrnArray userUrns = new UrnArray(); + input.getUsers().forEach(user -> userUrns.add(UrnUtils.getUrn(user))); + result.setUsers(userUrns); + } + if (input.getGroups() != null) { + UrnArray groupUrns = new UrnArray(); + input.getGroups().forEach(group -> groupUrns.add(UrnUtils.getUrn(group))); + result.setUsers(groupUrns); + } + + return result; + } + + @Nonnull + public static List mapPromptsToAdd( + @Nonnull final List promptsToAdd) { + return promptsToAdd.stream().map(FormUtils::mapPrompt).collect(Collectors.toList()); + } } diff --git a/datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/resolvers/structuredproperties/CreateStructuredPropertyResolver.java b/datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/resolvers/structuredproperties/CreateStructuredPropertyResolver.java new file mode 100644 index 00000000000000..3be7ea505abbf3 --- /dev/null +++ b/datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/resolvers/structuredproperties/CreateStructuredPropertyResolver.java @@ -0,0 +1,136 @@ +package com.linkedin.datahub.graphql.resolvers.structuredproperties; + +import static com.linkedin.datahub.graphql.resolvers.ResolverUtils.bindArgument; +import static com.linkedin.metadata.Constants.STRUCTURED_PROPERTY_ENTITY_NAME; + +import com.linkedin.common.urn.Urn; +import com.linkedin.data.template.SetMode; +import com.linkedin.data.template.StringArray; +import com.linkedin.data.template.StringArrayMap; +import com.linkedin.datahub.graphql.QueryContext; +import com.linkedin.datahub.graphql.authorization.AuthorizationUtils; +import com.linkedin.datahub.graphql.exception.AuthorizationException; +import com.linkedin.datahub.graphql.generated.CreateStructuredPropertyInput; +import com.linkedin.datahub.graphql.generated.StructuredPropertyEntity; +import com.linkedin.datahub.graphql.types.structuredproperty.StructuredPropertyMapper; +import com.linkedin.entity.EntityResponse; +import com.linkedin.entity.client.EntityClient; +import com.linkedin.metadata.aspect.patch.builder.StructuredPropertyDefinitionPatchBuilder; +import com.linkedin.metadata.utils.EntityKeyUtils; +import com.linkedin.mxe.MetadataChangeProposal; +import com.linkedin.structured.PrimitivePropertyValue; +import com.linkedin.structured.PropertyCardinality; +import com.linkedin.structured.PropertyValue; +import com.linkedin.structured.StructuredPropertyKey; +import graphql.schema.DataFetcher; +import graphql.schema.DataFetchingEnvironment; +import java.util.Objects; +import java.util.UUID; +import java.util.concurrent.CompletableFuture; +import javax.annotation.Nonnull; + +public class CreateStructuredPropertyResolver + implements DataFetcher> { + + private final EntityClient _entityClient; + + public CreateStructuredPropertyResolver(@Nonnull final EntityClient entityClient) { + _entityClient = Objects.requireNonNull(entityClient, "entityClient must not be null"); + } + + @Override + public CompletableFuture get(final DataFetchingEnvironment environment) + throws Exception { + final QueryContext context = environment.getContext(); + + final CreateStructuredPropertyInput input = + bindArgument(environment.getArgument("input"), CreateStructuredPropertyInput.class); + + return CompletableFuture.supplyAsync( + () -> { + try { + if (!AuthorizationUtils.canManageStructuredProperties(context)) { + throw new AuthorizationException( + "Unable to create structured property. Please contact your admin."); + } + final StructuredPropertyKey key = new StructuredPropertyKey(); + final String id = input.getId() != null ? input.getId() : UUID.randomUUID().toString(); + key.setId(id); + final Urn propertyUrn = + EntityKeyUtils.convertEntityKeyToUrn(key, STRUCTURED_PROPERTY_ENTITY_NAME); + StructuredPropertyDefinitionPatchBuilder builder = + new StructuredPropertyDefinitionPatchBuilder().urn(propertyUrn); + + builder.setQualifiedName(input.getQualifiedName()); + builder.setValueType(input.getValueType()); + input.getEntityTypes().forEach(builder::addEntityType); + if (input.getDisplayName() != null) { + builder.setDisplayName(input.getDisplayName()); + } + if (input.getDescription() != null) { + builder.setDescription(input.getDescription()); + } + if (input.getImmutable() != null) { + builder.setImmutable(input.getImmutable()); + } + if (input.getTypeQualifier() != null) { + buildTypeQualifier(input, builder); + } + if (input.getAllowedValues() != null) { + buildAllowedValues(input, builder); + } + if (input.getCardinality() != null) { + builder.setCardinality( + PropertyCardinality.valueOf(input.getCardinality().toString())); + } + + MetadataChangeProposal mcp = builder.build(); + _entityClient.ingestProposal(context.getOperationContext(), mcp, false); + + EntityResponse response = + _entityClient.getV2( + context.getOperationContext(), + STRUCTURED_PROPERTY_ENTITY_NAME, + propertyUrn, + null); + return StructuredPropertyMapper.map(context, response); + } catch (Exception e) { + throw new RuntimeException( + String.format("Failed to perform update against input %s", input), e); + } + }); + } + + private void buildTypeQualifier( + @Nonnull final CreateStructuredPropertyInput input, + @Nonnull final StructuredPropertyDefinitionPatchBuilder builder) { + if (input.getTypeQualifier().getAllowedTypes() != null) { + final StringArrayMap typeQualifier = new StringArrayMap(); + StringArray allowedTypes = new StringArray(); + allowedTypes.addAll(input.getTypeQualifier().getAllowedTypes()); + typeQualifier.put("allowedTypes", allowedTypes); + builder.setTypeQualifier(typeQualifier); + } + } + + private void buildAllowedValues( + @Nonnull final CreateStructuredPropertyInput input, + @Nonnull final StructuredPropertyDefinitionPatchBuilder builder) { + input + .getAllowedValues() + .forEach( + allowedValueInput -> { + PropertyValue value = new PropertyValue(); + PrimitivePropertyValue primitiveValue = new PrimitivePropertyValue(); + if (allowedValueInput.getStringValue() != null) { + primitiveValue.setString(allowedValueInput.getStringValue()); + } + if (allowedValueInput.getNumberValue() != null) { + primitiveValue.setDouble(allowedValueInput.getNumberValue().doubleValue()); + } + value.setValue(primitiveValue); + value.setDescription(allowedValueInput.getDescription(), SetMode.IGNORE_NULL); + builder.addAllowedValue(value); + }); + } +} diff --git a/datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/resolvers/structuredproperties/RemoveStructuredPropertiesResolver.java b/datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/resolvers/structuredproperties/RemoveStructuredPropertiesResolver.java new file mode 100644 index 00000000000000..ea8c6dac36a4af --- /dev/null +++ b/datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/resolvers/structuredproperties/RemoveStructuredPropertiesResolver.java @@ -0,0 +1,103 @@ +package com.linkedin.datahub.graphql.resolvers.structuredproperties; + +import static com.linkedin.datahub.graphql.resolvers.ResolverUtils.bindArgument; + +import com.google.common.collect.ImmutableSet; +import com.linkedin.common.urn.Urn; +import com.linkedin.common.urn.UrnUtils; +import com.linkedin.datahub.graphql.QueryContext; +import com.linkedin.datahub.graphql.authorization.AuthorizationUtils; +import com.linkedin.datahub.graphql.exception.AuthorizationException; +import com.linkedin.datahub.graphql.generated.RemoveStructuredPropertiesInput; +import com.linkedin.datahub.graphql.types.structuredproperty.StructuredPropertiesMapper; +import com.linkedin.entity.EntityResponse; +import com.linkedin.entity.client.EntityClient; +import com.linkedin.metadata.Constants; +import com.linkedin.metadata.aspect.patch.builder.StructuredPropertiesPatchBuilder; +import com.linkedin.mxe.MetadataChangeProposal; +import com.linkedin.structured.StructuredProperties; +import graphql.schema.DataFetcher; +import graphql.schema.DataFetchingEnvironment; +import java.util.Objects; +import java.util.concurrent.CompletableFuture; +import javax.annotation.Nonnull; + +public class RemoveStructuredPropertiesResolver + implements DataFetcher< + CompletableFuture> { + + private final EntityClient _entityClient; + + public RemoveStructuredPropertiesResolver(@Nonnull final EntityClient entityClient) { + _entityClient = Objects.requireNonNull(entityClient, "entityClient must not be null"); + } + + @Override + public CompletableFuture get( + final DataFetchingEnvironment environment) throws Exception { + final QueryContext context = environment.getContext(); + + final RemoveStructuredPropertiesInput input = + bindArgument(environment.getArgument("input"), RemoveStructuredPropertiesInput.class); + final Urn assetUrn = UrnUtils.getUrn(input.getAssetUrn()); + + return CompletableFuture.supplyAsync( + () -> { + try { + // check authorization first + if (!AuthorizationUtils.canEditProperties(assetUrn, context)) { + throw new AuthorizationException( + String.format( + "Not authorized to update properties on the gives urn %s", assetUrn)); + } + + if (!_entityClient.exists(context.getOperationContext(), assetUrn)) { + throw new RuntimeException( + String.format("Asset with provided urn %s does not exist", assetUrn)); + } + + StructuredPropertiesPatchBuilder patchBuilder = + new StructuredPropertiesPatchBuilder().urn(assetUrn); + + input + .getStructuredPropertyUrns() + .forEach( + propertyUrn -> { + patchBuilder.removeProperty(UrnUtils.getUrn(propertyUrn)); + }); + + // ingest change proposal + final MetadataChangeProposal structuredPropertiesProposal = patchBuilder.build(); + + _entityClient.ingestProposal( + context.getOperationContext(), structuredPropertiesProposal, false); + + EntityResponse response = + _entityClient.getV2( + context.getOperationContext(), + assetUrn.getEntityType(), + assetUrn, + ImmutableSet.of(Constants.STRUCTURED_PROPERTIES_ASPECT_NAME)); + + if (response == null + || response.getAspects().get(Constants.STRUCTURED_PROPERTIES_ASPECT_NAME) == null) { + throw new RuntimeException( + String.format("Failed to fetch structured properties from entity %s", assetUrn)); + } + + StructuredProperties structuredProperties = + new StructuredProperties( + response + .getAspects() + .get(Constants.STRUCTURED_PROPERTIES_ASPECT_NAME) + .getValue() + .data()); + + return StructuredPropertiesMapper.map(context, structuredProperties); + } catch (Exception e) { + throw new RuntimeException( + String.format("Failed to perform update against input %s", input), e); + } + }); + } +} diff --git a/datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/resolvers/structuredproperties/UpdateStructuredPropertyResolver.java b/datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/resolvers/structuredproperties/UpdateStructuredPropertyResolver.java new file mode 100644 index 00000000000000..2549f303bacd95 --- /dev/null +++ b/datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/resolvers/structuredproperties/UpdateStructuredPropertyResolver.java @@ -0,0 +1,129 @@ +package com.linkedin.datahub.graphql.resolvers.structuredproperties; + +import static com.linkedin.datahub.graphql.resolvers.ResolverUtils.bindArgument; +import static com.linkedin.metadata.Constants.STRUCTURED_PROPERTY_ENTITY_NAME; + +import com.linkedin.common.urn.Urn; +import com.linkedin.common.urn.UrnUtils; +import com.linkedin.data.template.SetMode; +import com.linkedin.data.template.StringArray; +import com.linkedin.data.template.StringArrayMap; +import com.linkedin.datahub.graphql.QueryContext; +import com.linkedin.datahub.graphql.authorization.AuthorizationUtils; +import com.linkedin.datahub.graphql.exception.AuthorizationException; +import com.linkedin.datahub.graphql.generated.StructuredPropertyEntity; +import com.linkedin.datahub.graphql.generated.UpdateStructuredPropertyInput; +import com.linkedin.datahub.graphql.types.structuredproperty.StructuredPropertyMapper; +import com.linkedin.entity.EntityResponse; +import com.linkedin.entity.client.EntityClient; +import com.linkedin.metadata.aspect.patch.builder.StructuredPropertyDefinitionPatchBuilder; +import com.linkedin.mxe.MetadataChangeProposal; +import com.linkedin.structured.PrimitivePropertyValue; +import com.linkedin.structured.PropertyCardinality; +import com.linkedin.structured.PropertyValue; +import graphql.schema.DataFetcher; +import graphql.schema.DataFetchingEnvironment; +import java.util.Objects; +import java.util.concurrent.CompletableFuture; +import javax.annotation.Nonnull; + +public class UpdateStructuredPropertyResolver + implements DataFetcher> { + + private final EntityClient _entityClient; + + public UpdateStructuredPropertyResolver(@Nonnull final EntityClient entityClient) { + _entityClient = Objects.requireNonNull(entityClient, "entityClient must not be null"); + } + + @Override + public CompletableFuture get(final DataFetchingEnvironment environment) + throws Exception { + final QueryContext context = environment.getContext(); + + final UpdateStructuredPropertyInput input = + bindArgument(environment.getArgument("input"), UpdateStructuredPropertyInput.class); + + return CompletableFuture.supplyAsync( + () -> { + try { + if (!AuthorizationUtils.canManageStructuredProperties(context)) { + throw new AuthorizationException( + "Unable to update structured property. Please contact your admin."); + } + final Urn propertyUrn = UrnUtils.getUrn(input.getUrn()); + StructuredPropertyDefinitionPatchBuilder builder = + new StructuredPropertyDefinitionPatchBuilder().urn(propertyUrn); + + if (input.getDisplayName() != null) { + builder.setDisplayName(input.getDisplayName()); + } + if (input.getDescription() != null) { + builder.setDescription(input.getDescription()); + } + if (input.getImmutable() != null) { + builder.setImmutable(input.getImmutable()); + } + if (input.getTypeQualifier() != null) { + buildTypeQualifier(input, builder); + } + if (input.getNewAllowedValues() != null) { + buildAllowedValues(input, builder); + } + if (input.getSetCardinalityAsMultiple() != null) { + builder.setCardinality(PropertyCardinality.MULTIPLE); + } + if (input.getNewEntityTypes() != null) { + input.getNewEntityTypes().forEach(builder::addEntityType); + } + + MetadataChangeProposal mcp = builder.build(); + _entityClient.ingestProposal(context.getOperationContext(), mcp, false); + + EntityResponse response = + _entityClient.getV2( + context.getOperationContext(), + STRUCTURED_PROPERTY_ENTITY_NAME, + propertyUrn, + null); + return StructuredPropertyMapper.map(context, response); + } catch (Exception e) { + throw new RuntimeException( + String.format("Failed to perform update against input %s", input), e); + } + }); + } + + private void buildTypeQualifier( + @Nonnull final UpdateStructuredPropertyInput input, + @Nonnull final StructuredPropertyDefinitionPatchBuilder builder) { + if (input.getTypeQualifier().getNewAllowedTypes() != null) { + final StringArrayMap typeQualifier = new StringArrayMap(); + StringArray allowedTypes = new StringArray(); + allowedTypes.addAll(input.getTypeQualifier().getNewAllowedTypes()); + typeQualifier.put("allowedTypes", allowedTypes); + builder.setTypeQualifier(typeQualifier); + } + } + + private void buildAllowedValues( + @Nonnull final UpdateStructuredPropertyInput input, + @Nonnull final StructuredPropertyDefinitionPatchBuilder builder) { + input + .getNewAllowedValues() + .forEach( + allowedValueInput -> { + PropertyValue value = new PropertyValue(); + PrimitivePropertyValue primitiveValue = new PrimitivePropertyValue(); + if (allowedValueInput.getStringValue() != null) { + primitiveValue.setString(allowedValueInput.getStringValue()); + } + if (allowedValueInput.getNumberValue() != null) { + primitiveValue.setDouble(allowedValueInput.getNumberValue().doubleValue()); + } + value.setValue(primitiveValue); + value.setDescription(allowedValueInput.getDescription(), SetMode.IGNORE_NULL); + builder.addAllowedValue(value); + }); + } +} diff --git a/datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/types/common/mappers/DeprecationMapper.java b/datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/types/common/mappers/DeprecationMapper.java index 8c3d72edfed25a..6959a6dcbd0393 100644 --- a/datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/types/common/mappers/DeprecationMapper.java +++ b/datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/types/common/mappers/DeprecationMapper.java @@ -20,6 +20,7 @@ public Deprecation apply( @Nullable QueryContext context, @Nonnull final com.linkedin.common.Deprecation input) { final Deprecation result = new Deprecation(); result.setActor(input.getActor().toString()); + result.setActorEntity(UrnToEntityMapper.map(context, input.getActor())); result.setDeprecated(input.isDeprecated()); result.setDecommissionTime(input.getDecommissionTime()); result.setNote(input.getNote()); diff --git a/datahub-graphql-core/src/main/resources/assertions.graphql b/datahub-graphql-core/src/main/resources/assertions.graphql index be9cf61069635e..ff182089ad7ff6 100644 --- a/datahub-graphql-core/src/main/resources/assertions.graphql +++ b/datahub-graphql-core/src/main/resources/assertions.graphql @@ -87,7 +87,9 @@ input AssertionResultInput { type: AssertionResultType! """ - Additional key-value pairs representing runtime context + Additional metadata representing about the native results of the assertion. + These will be displayed alongside the result. + It should be used to capture additional context that is useful for the user. """ properties: [StringMapEntryInput!] diff --git a/datahub-graphql-core/src/main/resources/entity.graphql b/datahub-graphql-core/src/main/resources/entity.graphql index 89c7b4a4cd0556..246ace2fc0f5f1 100644 --- a/datahub-graphql-core/src/main/resources/entity.graphql +++ b/datahub-graphql-core/src/main/resources/entity.graphql @@ -8183,6 +8183,11 @@ type Deprecation { The user who will be credited for modifying this deprecation content """ actor: String + + """ + The hydrated user who will be credited for modifying this deprecation content + """ + actorEntity: Entity } """ diff --git a/datahub-graphql-core/src/main/resources/forms.graphql b/datahub-graphql-core/src/main/resources/forms.graphql index f5e5fa74e3dc97..4a4e2705095968 100644 --- a/datahub-graphql-core/src/main/resources/forms.graphql +++ b/datahub-graphql-core/src/main/resources/forms.graphql @@ -3,6 +3,21 @@ extend type Mutation { Remove a form from a given list of entities. """ batchRemoveForm(input: BatchRemoveFormInput!): Boolean! + + """ + Create a new form based on the input + """ + createForm(input: CreateFormInput!): Form! + + """ + Delete a given form + """ + deleteForm(input: DeleteFormInput!): Boolean! + + """ + Update an existing form based on the input + """ + updateForm(input: UpdateFormInput!): Form! } """ @@ -398,3 +413,184 @@ input BatchRemoveFormInput { """ entityUrns: [String!]! } + +""" +Input for batch removing a form from different entities +""" +input CreateFormInput { + """ + Advanced: Optionally provide an ID to create a form urn from + """ + id: String + + """ + The name of the form being created + """ + name: String! + + """ + The optional description of the form being created + """ + description: String + + """ + The type of this form, whether it's verification or completion. Default is completion. + """ + type: FormType + + """ + The type of this form, whether it's verification or completion. Default is completion. + """ + prompts: [CreatePromptInput!] + + """ + Information on how this form should be assigned to users/groups + """ + actors: FormActorAssignmentInput +} + +""" +Input for creating form prompts +""" +input CreatePromptInput { + """ + Advanced: Optionally provide an ID to this prompt. All prompt IDs must be globally unique. + """ + id: String + + """ + The title of the prompt + """ + title: String! + + """ + The optional description of the prompt + """ + description: String + + """ + The type of the prompt. + """ + type: FormPromptType! + + """ + The params required if this prompt type is STRUCTURED_PROPERTY or FIELDS_STRUCTURED_PROPERTY + """ + structuredPropertyParams: StructuredPropertyParamsInput + + """ + Whether this prompt will be required or not. Default is false. + """ + required: Boolean + +} + +""" +Input for assigning a form to actors +""" +input FormActorAssignmentInput { + """ + Whether this form will be applied to owners of associated entities or not. Default is true. + """ + owners: Boolean + + """ + The optional list of user urns to assign this form to + """ + users: [String!] + + """ + The optional list of group urns to assign this form to + """ + groups: [String!] +} + +""" +Input for a structured property type prompt +""" +input StructuredPropertyParamsInput { + """ + The urn of the structured property for a given form prompt + """ + urn: String! +} + +""" +Input for updating a form +""" +input UpdateFormInput { + """ + The urn of the form being updated + """ + urn: String! + + """ + The new name of the form + """ + name: String + + """ + The new description of the form + """ + description: String + + """ + The new type of the form + """ + type: FormType + + """ + The new prompts being added to this form + """ + promptsToAdd: [CreatePromptInput!] + + """ + The IDs of the prompts to remove from this form + """ + promptsToRemove: [String!] + + """ + Information on how this form should be assigned to users/groups + """ + actors: FormActorAssignmentUpdateInput +} + +""" +Update input for assigning a form to actors +""" +input FormActorAssignmentUpdateInput { + """ + Whether this form will be applied to owners of associated entities or not. Default is true. + """ + owners: Boolean + + """ + The optional list of user urns to assign this form to + """ + usersToAdd: [String!] + + """ + The users being removed from being assigned to this form + """ + usersToRemove: [String!] + + """ + The optional list of group urns to assign this form to + """ + groupsToAdd: [String!] + + """ + The groups being removed from being assigned to this form + """ + groupsToRemove: [String!] +} + +""" +Input for deleting a form +""" +input DeleteFormInput { + """ + The urn of the form that is being deleted + """ + urn: String! +} diff --git a/datahub-graphql-core/src/main/resources/properties.graphql b/datahub-graphql-core/src/main/resources/properties.graphql index 120154e930d595..dfe84686456814 100644 --- a/datahub-graphql-core/src/main/resources/properties.graphql +++ b/datahub-graphql-core/src/main/resources/properties.graphql @@ -3,6 +3,21 @@ extend type Mutation { Upsert structured properties onto a given asset """ upsertStructuredProperties(input: UpsertStructuredPropertiesInput!): StructuredProperties! + + """ + Upsert structured properties onto a given asset + """ + removeStructuredProperties(input: RemoveStructuredPropertiesInput!): StructuredProperties! + + """ + Create a new structured property + """ + createStructuredProperty(input: CreateStructuredPropertyInput!): StructuredPropertyEntity! + + """ + Update an existing structured property + """ + updateStructuredProperty(input: UpdateStructuredPropertyInput!): StructuredPropertyEntity! } """ @@ -184,6 +199,21 @@ input UpsertStructuredPropertiesInput { structuredPropertyInputParams: [StructuredPropertyInputParams!]! } +""" +Input for removing structured properties on a given asset +""" +input RemoveStructuredPropertiesInput { + """ + The urn of the asset that we are removing properties from + """ + assetUrn: String! + + """ + The list of structured properties you want to remove from this asset + """ + structuredPropertyUrns: [String!]! +} + """ A data type registered in DataHub """ @@ -268,3 +298,152 @@ type DataTypeInfo { """ description: String } + +""" +Input for creating a new structured property entity +""" +input CreateStructuredPropertyInput { + """ + (Advanced) An optional unique ID to use when creating the urn of this entity + """ + id: String + + """ + The unique fully qualified name of this structured property, dot delimited. + """ + qualifiedName: String! + + """ + The optional display name for this property + """ + displayName: String + + """ + The optional description for this property + """ + description: String + + """ + Whether the property will be mutable once it is applied or not. Default is false. + """ + immutable: Boolean + + """ + The urn of the value type that this structured property accepts. + For example: urn:li:dataType:datahub.string or urn:li:dataType:datahub.date + """ + valueType: String! + + """ + The optional input for specifying specific entity types as values + """ + typeQualifier: TypeQualifierInput + + """ + The optional input for specifying a list of allowed values + """ + allowedValues: [AllowedValueInput!] + + """ + The optional input for specifying if one or multiple values can be applied. + Default is one value (single cardinality) + """ + cardinality: PropertyCardinality + + """ + The list of entity types that this property can be applied to. + For example: ["urn:li:entityType:datahub.dataset"] + """ + entityTypes: [String!]! +} + +""" +Input for specifying specific entity types as values +""" +input TypeQualifierInput { + """ + The list of allowed entity types as urns (ie. ["urn:li:entityType:datahub.corpuser"]) + """ + allowedTypes: [String!] +} + +""" +An input entry for an allowed value for a structured property +""" +input AllowedValueInput { + """ + The allowed string value if the value is of type string + Either this or numberValue is required. + """ + stringValue: String + + """ + The allowed number value if the value is of type number. + Either this or stringValue is required. + """ + numberValue: Float + + """ + The description of this allowed value + """ + description: String +} + +""" +Input for updating an existing structured property entity +""" +input UpdateStructuredPropertyInput { + """ + The urn of the structured property being updated + """ + urn: String! + + """ + The optional display name for this property + """ + displayName: String + + """ + The optional description for this property + """ + description: String + + """ + Whether the property will be mutable once it is applied or not. Default is false. + """ + immutable: Boolean + + """ + The optional input for specifying specific entity types as values + """ + typeQualifier: UpdateTypeQualifierInput + + """ + Append to the list of allowed values for this property. + For backwards compatibility, this is append only. + """ + newAllowedValues: [AllowedValueInput!] + + """ + Set to true if you want to change the cardinality of this structured property + to multiple. Cannot change from multiple to single for backwards compatibility reasons. + """ + setCardinalityAsMultiple: Boolean + + """ + Append to the list of entity types that this property can be applied to. + For backwards compatibility, this is append only. + """ + newEntityTypes: [String!] +} + +""" +Input for updating specifying specific entity types as values +""" +input UpdateTypeQualifierInput { + """ + Append to the list of allowed entity types as urns for this property (ie. ["urn:li:entityType:datahub.corpuser"]) + For backwards compatibility, this is append only. + """ + newAllowedTypes: [String!] +} diff --git a/datahub-graphql-core/src/test/java/com/linkedin/datahub/graphql/resolvers/assertion/ReportAssertionResultResolverTest.java b/datahub-graphql-core/src/test/java/com/linkedin/datahub/graphql/resolvers/assertion/ReportAssertionResultResolverTest.java index 0cf4ed9896f89b..cf3c833cbba232 100644 --- a/datahub-graphql-core/src/test/java/com/linkedin/datahub/graphql/resolvers/assertion/ReportAssertionResultResolverTest.java +++ b/datahub-graphql-core/src/test/java/com/linkedin/datahub/graphql/resolvers/assertion/ReportAssertionResultResolverTest.java @@ -61,8 +61,8 @@ public class ReportAssertionResultResolverTest { .setType(com.linkedin.assertion.AssertionResultErrorType.UNKNOWN_ERROR) .setProperties( new StringMap(Map.of("message", "an unknown error occurred")))) - .setExternalUrl(customAssertionUrl)) - .setRuntimeContext(new StringMap(Map.of("prop1", "value1"))); + .setExternalUrl(customAssertionUrl) + .setNativeResults(new StringMap(Map.of("prop1", "value1")))); @Test public void testGetSuccessReportAssertionRunEvent() throws Exception { @@ -91,8 +91,7 @@ public void testGetSuccessReportAssertionRunEvent() throws Exception { Mockito.eq(TEST_ASSERTION_URN), Mockito.eq(TEST_DATASET_URN), Mockito.eq(TEST_ASSERTION_RUN_EVENT.getTimestampMillis()), - Mockito.eq(TEST_ASSERTION_RUN_EVENT.getResult()), - Mockito.eq(TEST_ASSERTION_RUN_EVENT.getRuntimeContext())); + Mockito.eq(TEST_ASSERTION_RUN_EVENT.getResult())); } @Test @@ -126,7 +125,6 @@ public void testGetUpdateAssertionUnauthorized() throws Exception { Mockito.any(), Mockito.any(), Mockito.any(), - Mockito.any(), Mockito.any()); } @@ -146,7 +144,6 @@ public void testGetAssertionServiceException() { Mockito.any(), Mockito.any(), Mockito.any(), - Mockito.any(), Mockito.any()); ReportAssertionResultResolver resolver = new ReportAssertionResultResolver(mockService); diff --git a/datahub-graphql-core/src/test/java/com/linkedin/datahub/graphql/resolvers/form/CreateFormResolverTest.java b/datahub-graphql-core/src/test/java/com/linkedin/datahub/graphql/resolvers/form/CreateFormResolverTest.java new file mode 100644 index 00000000000000..65f51830ee148e --- /dev/null +++ b/datahub-graphql-core/src/test/java/com/linkedin/datahub/graphql/resolvers/form/CreateFormResolverTest.java @@ -0,0 +1,116 @@ +package com.linkedin.datahub.graphql.resolvers.form; + +import static com.linkedin.datahub.graphql.TestUtils.getMockAllowContext; +import static com.linkedin.datahub.graphql.TestUtils.getMockDenyContext; +import static org.mockito.ArgumentMatchers.any; +import static org.testng.Assert.*; + +import com.linkedin.common.urn.UrnUtils; +import com.linkedin.datahub.graphql.QueryContext; +import com.linkedin.datahub.graphql.generated.CreateFormInput; +import com.linkedin.datahub.graphql.generated.Form; +import com.linkedin.datahub.graphql.generated.FormType; +import com.linkedin.entity.EntityResponse; +import com.linkedin.entity.EnvelopedAspectMap; +import com.linkedin.entity.client.EntityClient; +import com.linkedin.form.FormInfo; +import com.linkedin.metadata.Constants; +import com.linkedin.metadata.service.FormService; +import graphql.schema.DataFetchingEnvironment; +import java.util.ArrayList; +import java.util.concurrent.CompletionException; +import org.mockito.Mockito; +import org.testng.annotations.Test; + +public class CreateFormResolverTest { + private static final String TEST_FORM_URN = "urn:li:form:1"; + + private static final CreateFormInput TEST_INPUT = + new CreateFormInput(null, "test name", null, FormType.VERIFICATION, new ArrayList<>(), null); + + @Test + public void testGetSuccess() throws Exception { + FormService mockFormService = initMockFormService(true); + EntityClient mockEntityClient = initMockEntityClient(); + CreateFormResolver resolver = new CreateFormResolver(mockEntityClient, mockFormService); + + // Execute resolver + QueryContext mockContext = getMockAllowContext(); + DataFetchingEnvironment mockEnv = Mockito.mock(DataFetchingEnvironment.class); + Mockito.when(mockEnv.getArgument(Mockito.eq("input"))).thenReturn(TEST_INPUT); + Mockito.when(mockEnv.getContext()).thenReturn(mockContext); + + Form form = resolver.get(mockEnv).get(); + + assertEquals(form.getUrn(), TEST_FORM_URN); + + // Validate that we called create on the service + Mockito.verify(mockFormService, Mockito.times(1)) + .createForm(any(), any(FormInfo.class), Mockito.eq(null)); + } + + @Test + public void testGetUnauthorized() throws Exception { + FormService mockFormService = initMockFormService(true); + EntityClient mockEntityClient = initMockEntityClient(); + CreateFormResolver resolver = new CreateFormResolver(mockEntityClient, mockFormService); + + // Execute resolver + QueryContext mockContext = getMockDenyContext(); + DataFetchingEnvironment mockEnv = Mockito.mock(DataFetchingEnvironment.class); + Mockito.when(mockEnv.getArgument(Mockito.eq("input"))).thenReturn(TEST_INPUT); + Mockito.when(mockEnv.getContext()).thenReturn(mockContext); + + assertThrows(CompletionException.class, () -> resolver.get(mockEnv).join()); + + // Validate that we did NOT call create on the service + Mockito.verify(mockFormService, Mockito.times(0)) + .createForm(any(), any(FormInfo.class), Mockito.eq(null)); + } + + @Test + public void testGetFailure() throws Exception { + FormService mockFormService = initMockFormService(false); + EntityClient mockEntityClient = initMockEntityClient(); + CreateFormResolver resolver = new CreateFormResolver(mockEntityClient, mockFormService); + + // Execute resolver + QueryContext mockContext = getMockAllowContext(); + DataFetchingEnvironment mockEnv = Mockito.mock(DataFetchingEnvironment.class); + Mockito.when(mockEnv.getArgument(Mockito.eq("input"))).thenReturn(TEST_INPUT); + Mockito.when(mockEnv.getContext()).thenReturn(mockContext); + + assertThrows(CompletionException.class, () -> resolver.get(mockEnv).join()); + + // Validate that we called create on the service + Mockito.verify(mockFormService, Mockito.times(1)) + .createForm(any(), any(FormInfo.class), Mockito.eq(null)); + } + + private FormService initMockFormService(final boolean shouldSucceed) throws Exception { + FormService service = Mockito.mock(FormService.class); + + if (shouldSucceed) { + Mockito.when(service.createForm(any(), Mockito.any(), Mockito.any())) + .thenReturn(UrnUtils.getUrn("urn:li:form:1")); + } else { + Mockito.when(service.createForm(any(), Mockito.any(), Mockito.any())) + .thenThrow(new RuntimeException()); + } + + return service; + } + + private EntityClient initMockEntityClient() throws Exception { + EntityClient client = Mockito.mock(EntityClient.class); + EntityResponse response = new EntityResponse(); + response.setEntityName(Constants.FORM_ENTITY_NAME); + response.setUrn(UrnUtils.getUrn(TEST_FORM_URN)); + response.setAspects(new EnvelopedAspectMap()); + Mockito.when( + client.getV2(any(), Mockito.eq(Constants.FORM_ENTITY_NAME), any(), Mockito.eq(null))) + .thenReturn(response); + + return client; + } +} diff --git a/datahub-graphql-core/src/test/java/com/linkedin/datahub/graphql/resolvers/form/DeleteFormResolverTest.java b/datahub-graphql-core/src/test/java/com/linkedin/datahub/graphql/resolvers/form/DeleteFormResolverTest.java new file mode 100644 index 00000000000000..ded79ed9a00184 --- /dev/null +++ b/datahub-graphql-core/src/test/java/com/linkedin/datahub/graphql/resolvers/form/DeleteFormResolverTest.java @@ -0,0 +1,90 @@ +package com.linkedin.datahub.graphql.resolvers.form; + +import static com.linkedin.datahub.graphql.TestUtils.getMockAllowContext; +import static com.linkedin.datahub.graphql.TestUtils.getMockDenyContext; +import static org.mockito.ArgumentMatchers.any; +import static org.testng.Assert.assertThrows; +import static org.testng.Assert.assertTrue; + +import com.linkedin.common.urn.UrnUtils; +import com.linkedin.datahub.graphql.QueryContext; +import com.linkedin.datahub.graphql.generated.DeleteFormInput; +import com.linkedin.entity.client.EntityClient; +import com.linkedin.r2.RemoteInvocationException; +import graphql.schema.DataFetchingEnvironment; +import java.util.concurrent.CompletionException; +import org.mockito.Mockito; +import org.testng.annotations.Test; + +public class DeleteFormResolverTest { + private static final String TEST_FORM_URN = "urn:li:form:1"; + + private static final DeleteFormInput TEST_INPUT = new DeleteFormInput(TEST_FORM_URN); + + @Test + public void testGetSuccess() throws Exception { + EntityClient mockEntityClient = initMockEntityClient(true); + DeleteFormResolver resolver = new DeleteFormResolver(mockEntityClient); + + // Execute resolver + QueryContext mockContext = getMockAllowContext(); + DataFetchingEnvironment mockEnv = Mockito.mock(DataFetchingEnvironment.class); + Mockito.when(mockEnv.getArgument(Mockito.eq("input"))).thenReturn(TEST_INPUT); + Mockito.when(mockEnv.getContext()).thenReturn(mockContext); + + Boolean success = resolver.get(mockEnv).get(); + assertTrue(success); + + // Validate that we called delete + Mockito.verify(mockEntityClient, Mockito.times(1)) + .deleteEntity(any(), Mockito.eq(UrnUtils.getUrn(TEST_FORM_URN))); + } + + @Test + public void testGetUnauthorized() throws Exception { + EntityClient mockEntityClient = initMockEntityClient(true); + DeleteFormResolver resolver = new DeleteFormResolver(mockEntityClient); + + // Execute resolver + QueryContext mockContext = getMockDenyContext(); + DataFetchingEnvironment mockEnv = Mockito.mock(DataFetchingEnvironment.class); + Mockito.when(mockEnv.getArgument(Mockito.eq("input"))).thenReturn(TEST_INPUT); + Mockito.when(mockEnv.getContext()).thenReturn(mockContext); + + assertThrows(CompletionException.class, () -> resolver.get(mockEnv).join()); + + // Validate that we did NOT call delete and delete references + Mockito.verify(mockEntityClient, Mockito.times(0)) + .deleteEntity(any(), Mockito.eq(UrnUtils.getUrn(TEST_FORM_URN))); + Mockito.verify(mockEntityClient, Mockito.times(0)) + .deleteEntityReferences(any(), Mockito.eq(UrnUtils.getUrn(TEST_FORM_URN))); + } + + @Test + public void testGetFailure() throws Exception { + EntityClient mockEntityClient = initMockEntityClient(false); + DeleteFormResolver resolver = new DeleteFormResolver(mockEntityClient); + + // Execute resolver + QueryContext mockContext = getMockAllowContext(); + DataFetchingEnvironment mockEnv = Mockito.mock(DataFetchingEnvironment.class); + Mockito.when(mockEnv.getArgument(Mockito.eq("input"))).thenReturn(TEST_INPUT); + Mockito.when(mockEnv.getContext()).thenReturn(mockContext); + + assertThrows(CompletionException.class, () -> resolver.get(mockEnv).join()); + + // Validate that deleteEntity was called, but since it failed, delete references was not called + Mockito.verify(mockEntityClient, Mockito.times(1)) + .deleteEntity(any(), Mockito.eq(UrnUtils.getUrn(TEST_FORM_URN))); + Mockito.verify(mockEntityClient, Mockito.times(0)) + .deleteEntityReferences(any(), Mockito.eq(UrnUtils.getUrn(TEST_FORM_URN))); + } + + private EntityClient initMockEntityClient(boolean shouldSucceed) throws Exception { + EntityClient client = Mockito.mock(EntityClient.class); + if (!shouldSucceed) { + Mockito.doThrow(new RemoteInvocationException()).when(client).deleteEntity(any(), any()); + } + return client; + } +} diff --git a/datahub-graphql-core/src/test/java/com/linkedin/datahub/graphql/resolvers/form/UpdateFormResolverTest.java b/datahub-graphql-core/src/test/java/com/linkedin/datahub/graphql/resolvers/form/UpdateFormResolverTest.java new file mode 100644 index 00000000000000..6a4b99742f7fd9 --- /dev/null +++ b/datahub-graphql-core/src/test/java/com/linkedin/datahub/graphql/resolvers/form/UpdateFormResolverTest.java @@ -0,0 +1,105 @@ +package com.linkedin.datahub.graphql.resolvers.form; + +import static com.linkedin.datahub.graphql.TestUtils.getMockAllowContext; +import static com.linkedin.datahub.graphql.TestUtils.getMockDenyContext; +import static org.mockito.ArgumentMatchers.any; +import static org.testng.Assert.*; + +import com.linkedin.common.urn.UrnUtils; +import com.linkedin.datahub.graphql.QueryContext; +import com.linkedin.datahub.graphql.generated.Form; +import com.linkedin.datahub.graphql.generated.UpdateFormInput; +import com.linkedin.entity.EntityResponse; +import com.linkedin.entity.EnvelopedAspectMap; +import com.linkedin.entity.client.EntityClient; +import com.linkedin.metadata.Constants; +import com.linkedin.mxe.MetadataChangeProposal; +import com.linkedin.r2.RemoteInvocationException; +import graphql.schema.DataFetchingEnvironment; +import java.util.concurrent.CompletionException; +import org.mockito.Mockito; +import org.testng.annotations.Test; + +public class UpdateFormResolverTest { + private static final String TEST_FORM_URN = "urn:li:form:1"; + + private static final UpdateFormInput TEST_INPUT = + new UpdateFormInput(TEST_FORM_URN, "new name", null, null, null, null, null); + + @Test + public void testGetSuccess() throws Exception { + EntityClient mockEntityClient = initMockEntityClient(true); + UpdateFormResolver resolver = new UpdateFormResolver(mockEntityClient); + + // Execute resolver + QueryContext mockContext = getMockAllowContext(); + DataFetchingEnvironment mockEnv = Mockito.mock(DataFetchingEnvironment.class); + Mockito.when(mockEnv.getArgument(Mockito.eq("input"))).thenReturn(TEST_INPUT); + Mockito.when(mockEnv.getContext()).thenReturn(mockContext); + + Form form = resolver.get(mockEnv).get(); + + assertEquals(form.getUrn(), TEST_FORM_URN); + + // Validate that we called ingest + Mockito.verify(mockEntityClient, Mockito.times(1)) + .ingestProposal(any(), any(MetadataChangeProposal.class), Mockito.eq(false)); + } + + @Test + public void testGetUnauthorized() throws Exception { + EntityClient mockEntityClient = initMockEntityClient(true); + UpdateFormResolver resolver = new UpdateFormResolver(mockEntityClient); + + // Execute resolver + QueryContext mockContext = getMockDenyContext(); + DataFetchingEnvironment mockEnv = Mockito.mock(DataFetchingEnvironment.class); + Mockito.when(mockEnv.getArgument(Mockito.eq("input"))).thenReturn(TEST_INPUT); + Mockito.when(mockEnv.getContext()).thenReturn(mockContext); + + assertThrows(CompletionException.class, () -> resolver.get(mockEnv).join()); + + // Validate that we did NOT call ingest + Mockito.verify(mockEntityClient, Mockito.times(0)) + .ingestProposal(any(), any(MetadataChangeProposal.class), Mockito.eq(false)); + } + + @Test + public void testGetFailure() throws Exception { + EntityClient mockEntityClient = initMockEntityClient(false); + UpdateFormResolver resolver = new UpdateFormResolver(mockEntityClient); + + // Execute resolver + QueryContext mockContext = getMockAllowContext(); + DataFetchingEnvironment mockEnv = Mockito.mock(DataFetchingEnvironment.class); + Mockito.when(mockEnv.getArgument(Mockito.eq("input"))).thenReturn(TEST_INPUT); + Mockito.when(mockEnv.getContext()).thenReturn(mockContext); + + assertThrows(CompletionException.class, () -> resolver.get(mockEnv).join()); + + // Validate that ingest was called, but that caused a failure + Mockito.verify(mockEntityClient, Mockito.times(1)) + .ingestProposal(any(), any(MetadataChangeProposal.class), Mockito.eq(false)); + } + + private EntityClient initMockEntityClient(boolean shouldSucceed) throws Exception { + EntityClient client = Mockito.mock(EntityClient.class); + EntityResponse response = new EntityResponse(); + response.setEntityName(Constants.FORM_ENTITY_NAME); + response.setUrn(UrnUtils.getUrn(TEST_FORM_URN)); + response.setAspects(new EnvelopedAspectMap()); + if (shouldSucceed) { + Mockito.when( + client.getV2(any(), Mockito.eq(Constants.FORM_ENTITY_NAME), any(), Mockito.eq(null))) + .thenReturn(response); + } else { + Mockito.when( + client.getV2(any(), Mockito.eq(Constants.FORM_ENTITY_NAME), any(), Mockito.eq(null))) + .thenThrow(new RemoteInvocationException()); + } + + Mockito.when(client.exists(any(), Mockito.eq(UrnUtils.getUrn(TEST_FORM_URN)))).thenReturn(true); + + return client; + } +} diff --git a/datahub-graphql-core/src/test/java/com/linkedin/datahub/graphql/resolvers/structuredproperties/CreateStructuredPropertyResolverTest.java b/datahub-graphql-core/src/test/java/com/linkedin/datahub/graphql/resolvers/structuredproperties/CreateStructuredPropertyResolverTest.java new file mode 100644 index 00000000000000..72cdb78542e414 --- /dev/null +++ b/datahub-graphql-core/src/test/java/com/linkedin/datahub/graphql/resolvers/structuredproperties/CreateStructuredPropertyResolverTest.java @@ -0,0 +1,126 @@ +package com.linkedin.datahub.graphql.resolvers.structuredproperties; + +import static com.linkedin.datahub.graphql.TestUtils.getMockAllowContext; +import static com.linkedin.datahub.graphql.TestUtils.getMockDenyContext; +import static org.mockito.ArgumentMatchers.any; +import static org.testng.Assert.assertEquals; +import static org.testng.Assert.assertThrows; + +import com.linkedin.common.urn.UrnUtils; +import com.linkedin.datahub.graphql.QueryContext; +import com.linkedin.datahub.graphql.generated.CreateStructuredPropertyInput; +import com.linkedin.datahub.graphql.generated.StructuredPropertyEntity; +import com.linkedin.entity.EntityResponse; +import com.linkedin.entity.EnvelopedAspectMap; +import com.linkedin.entity.client.EntityClient; +import com.linkedin.metadata.Constants; +import com.linkedin.mxe.MetadataChangeProposal; +import com.linkedin.r2.RemoteInvocationException; +import graphql.schema.DataFetchingEnvironment; +import java.util.ArrayList; +import java.util.concurrent.CompletionException; +import org.mockito.Mockito; +import org.testng.annotations.Test; + +public class CreateStructuredPropertyResolverTest { + private static final String TEST_STRUCTURED_PROPERTY_URN = "urn:li:structuredProperty:1"; + + private static final CreateStructuredPropertyInput TEST_INPUT = + new CreateStructuredPropertyInput( + null, + "io.acryl.test", + "Display Name", + "description", + true, + null, + null, + null, + null, + new ArrayList<>()); + + @Test + public void testGetSuccess() throws Exception { + EntityClient mockEntityClient = initMockEntityClient(true); + CreateStructuredPropertyResolver resolver = + new CreateStructuredPropertyResolver(mockEntityClient); + + // Execute resolver + QueryContext mockContext = getMockAllowContext(); + DataFetchingEnvironment mockEnv = Mockito.mock(DataFetchingEnvironment.class); + Mockito.when(mockEnv.getArgument(Mockito.eq("input"))).thenReturn(TEST_INPUT); + Mockito.when(mockEnv.getContext()).thenReturn(mockContext); + + StructuredPropertyEntity prop = resolver.get(mockEnv).get(); + + assertEquals(prop.getUrn(), TEST_STRUCTURED_PROPERTY_URN); + + // Validate that we called ingest + Mockito.verify(mockEntityClient, Mockito.times(1)) + .ingestProposal(any(), any(MetadataChangeProposal.class), Mockito.eq(false)); + } + + @Test + public void testGetUnauthorized() throws Exception { + EntityClient mockEntityClient = initMockEntityClient(true); + CreateStructuredPropertyResolver resolver = + new CreateStructuredPropertyResolver(mockEntityClient); + + // Execute resolver + QueryContext mockContext = getMockDenyContext(); + DataFetchingEnvironment mockEnv = Mockito.mock(DataFetchingEnvironment.class); + Mockito.when(mockEnv.getArgument(Mockito.eq("input"))).thenReturn(TEST_INPUT); + Mockito.when(mockEnv.getContext()).thenReturn(mockContext); + + assertThrows(CompletionException.class, () -> resolver.get(mockEnv).join()); + + // Validate that we did NOT call ingest + Mockito.verify(mockEntityClient, Mockito.times(0)) + .ingestProposal(any(), any(MetadataChangeProposal.class), Mockito.eq(false)); + } + + @Test + public void testGetFailure() throws Exception { + EntityClient mockEntityClient = initMockEntityClient(false); + CreateStructuredPropertyResolver resolver = + new CreateStructuredPropertyResolver(mockEntityClient); + + // Execute resolver + QueryContext mockContext = getMockAllowContext(); + DataFetchingEnvironment mockEnv = Mockito.mock(DataFetchingEnvironment.class); + Mockito.when(mockEnv.getArgument(Mockito.eq("input"))).thenReturn(TEST_INPUT); + Mockito.when(mockEnv.getContext()).thenReturn(mockContext); + + assertThrows(CompletionException.class, () -> resolver.get(mockEnv).join()); + + // Validate that ingest was called, but that caused a failure + Mockito.verify(mockEntityClient, Mockito.times(1)) + .ingestProposal(any(), any(MetadataChangeProposal.class), Mockito.eq(false)); + } + + private EntityClient initMockEntityClient(boolean shouldSucceed) throws Exception { + EntityClient client = Mockito.mock(EntityClient.class); + EntityResponse response = new EntityResponse(); + response.setEntityName(Constants.STRUCTURED_PROPERTY_ENTITY_NAME); + response.setUrn(UrnUtils.getUrn(TEST_STRUCTURED_PROPERTY_URN)); + response.setAspects(new EnvelopedAspectMap()); + if (shouldSucceed) { + Mockito.when( + client.getV2( + any(), + Mockito.eq(Constants.STRUCTURED_PROPERTY_ENTITY_NAME), + any(), + Mockito.eq(null))) + .thenReturn(response); + } else { + Mockito.when( + client.getV2( + any(), + Mockito.eq(Constants.STRUCTURED_PROPERTY_ENTITY_NAME), + any(), + Mockito.eq(null))) + .thenThrow(new RemoteInvocationException()); + } + + return client; + } +} diff --git a/datahub-graphql-core/src/test/java/com/linkedin/datahub/graphql/resolvers/structuredproperties/RemoveStructuredPropertiesResolverTest.java b/datahub-graphql-core/src/test/java/com/linkedin/datahub/graphql/resolvers/structuredproperties/RemoveStructuredPropertiesResolverTest.java new file mode 100644 index 00000000000000..f7882bb2c93a8a --- /dev/null +++ b/datahub-graphql-core/src/test/java/com/linkedin/datahub/graphql/resolvers/structuredproperties/RemoveStructuredPropertiesResolverTest.java @@ -0,0 +1,123 @@ +package com.linkedin.datahub.graphql.resolvers.structuredproperties; + +import static com.linkedin.datahub.graphql.TestUtils.getMockAllowContext; +import static com.linkedin.datahub.graphql.TestUtils.getMockDenyContext; +import static com.linkedin.metadata.Constants.STRUCTURED_PROPERTIES_ASPECT_NAME; +import static org.mockito.ArgumentMatchers.any; +import static org.testng.Assert.assertThrows; + +import com.google.common.collect.ImmutableList; +import com.google.common.collect.ImmutableSet; +import com.linkedin.common.urn.UrnUtils; +import com.linkedin.datahub.graphql.QueryContext; +import com.linkedin.datahub.graphql.generated.RemoveStructuredPropertiesInput; +import com.linkedin.entity.Aspect; +import com.linkedin.entity.EntityResponse; +import com.linkedin.entity.EnvelopedAspect; +import com.linkedin.entity.EnvelopedAspectMap; +import com.linkedin.entity.client.EntityClient; +import com.linkedin.metadata.Constants; +import com.linkedin.mxe.MetadataChangeProposal; +import com.linkedin.structured.StructuredProperties; +import com.linkedin.structured.StructuredPropertyValueAssignmentArray; +import graphql.schema.DataFetchingEnvironment; +import java.util.concurrent.CompletionException; +import org.mockito.Mockito; +import org.testng.annotations.Test; + +public class RemoveStructuredPropertiesResolverTest { + + private static final String TEST_DATASET_URN = + "urn:li:dataset:(urn:li:dataPlatform:hive,name,PROD)"; + private static final String PROPERTY_URN_1 = "urn:li:structuredProperty:test1"; + private static final String PROPERTY_URN_2 = "urn:li:structuredProperty:test2"; + + private static final RemoveStructuredPropertiesInput TEST_INPUT = + new RemoveStructuredPropertiesInput( + TEST_DATASET_URN, ImmutableList.of(PROPERTY_URN_1, PROPERTY_URN_2)); + + @Test + public void testGetSuccess() throws Exception { + EntityClient mockEntityClient = initMockEntityClient(); + RemoveStructuredPropertiesResolver resolver = + new RemoveStructuredPropertiesResolver(mockEntityClient); + + // Execute resolver + QueryContext mockContext = getMockAllowContext(); + DataFetchingEnvironment mockEnv = Mockito.mock(DataFetchingEnvironment.class); + Mockito.when(mockEnv.getArgument(Mockito.eq("input"))).thenReturn(TEST_INPUT); + Mockito.when(mockEnv.getContext()).thenReturn(mockContext); + + resolver.get(mockEnv).get(); + + // Validate that we called ingest + Mockito.verify(mockEntityClient, Mockito.times(1)) + .ingestProposal(any(), any(MetadataChangeProposal.class), Mockito.eq(false)); + } + + @Test + public void testGetUnauthorized() throws Exception { + EntityClient mockEntityClient = initMockEntityClient(); + RemoveStructuredPropertiesResolver resolver = + new RemoveStructuredPropertiesResolver(mockEntityClient); + + // Execute resolver + QueryContext mockContext = getMockDenyContext(); + DataFetchingEnvironment mockEnv = Mockito.mock(DataFetchingEnvironment.class); + Mockito.when(mockEnv.getArgument(Mockito.eq("input"))).thenReturn(TEST_INPUT); + Mockito.when(mockEnv.getContext()).thenReturn(mockContext); + + assertThrows(CompletionException.class, () -> resolver.get(mockEnv).join()); + + // Validate that we did NOT call ingest + Mockito.verify(mockEntityClient, Mockito.times(0)) + .ingestProposal(any(), any(MetadataChangeProposal.class), Mockito.eq(false)); + } + + @Test + public void testGetThrowsError() throws Exception { + // if the entity you are trying to remove properties from doesn't exist + EntityClient mockEntityClient = Mockito.mock(EntityClient.class); + Mockito.when(mockEntityClient.exists(any(), Mockito.eq(UrnUtils.getUrn(TEST_DATASET_URN)))) + .thenReturn(false); + RemoveStructuredPropertiesResolver resolver = + new RemoveStructuredPropertiesResolver(mockEntityClient); + + // Execute resolver + QueryContext mockContext = getMockDenyContext(); + DataFetchingEnvironment mockEnv = Mockito.mock(DataFetchingEnvironment.class); + Mockito.when(mockEnv.getArgument(Mockito.eq("input"))).thenReturn(TEST_INPUT); + Mockito.when(mockEnv.getContext()).thenReturn(mockContext); + + assertThrows(CompletionException.class, () -> resolver.get(mockEnv).join()); + + // Validate that we did NOT call ingest + Mockito.verify(mockEntityClient, Mockito.times(0)) + .ingestProposal(any(), any(MetadataChangeProposal.class), Mockito.eq(false)); + } + + private EntityClient initMockEntityClient() throws Exception { + EntityClient client = Mockito.mock(EntityClient.class); + EntityResponse response = new EntityResponse(); + response.setEntityName(Constants.DATASET_ENTITY_NAME); + response.setUrn(UrnUtils.getUrn(TEST_DATASET_URN)); + final EnvelopedAspectMap aspectMap = new EnvelopedAspectMap(); + StructuredProperties properties = new StructuredProperties(); + properties.setProperties(new StructuredPropertyValueAssignmentArray()); + aspectMap.put( + STRUCTURED_PROPERTIES_ASPECT_NAME, + new EnvelopedAspect().setValue(new Aspect(properties.data()))); + response.setAspects(aspectMap); + Mockito.when( + client.getV2( + any(), + Mockito.eq(Constants.DATASET_ENTITY_NAME), + Mockito.eq(UrnUtils.getUrn(TEST_DATASET_URN)), + Mockito.eq(ImmutableSet.of(Constants.STRUCTURED_PROPERTIES_ASPECT_NAME)))) + .thenReturn(response); + Mockito.when(client.exists(any(), Mockito.eq(UrnUtils.getUrn(TEST_DATASET_URN)))) + .thenReturn(true); + + return client; + } +} diff --git a/datahub-graphql-core/src/test/java/com/linkedin/datahub/graphql/resolvers/structuredproperties/UpdateStructuredPropertyResolverTest.java b/datahub-graphql-core/src/test/java/com/linkedin/datahub/graphql/resolvers/structuredproperties/UpdateStructuredPropertyResolverTest.java new file mode 100644 index 00000000000000..971a53de9473b5 --- /dev/null +++ b/datahub-graphql-core/src/test/java/com/linkedin/datahub/graphql/resolvers/structuredproperties/UpdateStructuredPropertyResolverTest.java @@ -0,0 +1,123 @@ +package com.linkedin.datahub.graphql.resolvers.structuredproperties; + +import static com.linkedin.datahub.graphql.TestUtils.getMockAllowContext; +import static com.linkedin.datahub.graphql.TestUtils.getMockDenyContext; +import static org.mockito.ArgumentMatchers.any; +import static org.testng.Assert.assertEquals; +import static org.testng.Assert.assertThrows; + +import com.linkedin.common.urn.UrnUtils; +import com.linkedin.datahub.graphql.QueryContext; +import com.linkedin.datahub.graphql.generated.StructuredPropertyEntity; +import com.linkedin.datahub.graphql.generated.UpdateStructuredPropertyInput; +import com.linkedin.entity.EntityResponse; +import com.linkedin.entity.EnvelopedAspectMap; +import com.linkedin.entity.client.EntityClient; +import com.linkedin.metadata.Constants; +import com.linkedin.mxe.MetadataChangeProposal; +import com.linkedin.r2.RemoteInvocationException; +import graphql.schema.DataFetchingEnvironment; +import java.util.concurrent.CompletionException; +import org.mockito.Mockito; +import org.testng.annotations.Test; + +public class UpdateStructuredPropertyResolverTest { + private static final String TEST_STRUCTURED_PROPERTY_URN = "urn:li:structuredProperty:1"; + + private static final UpdateStructuredPropertyInput TEST_INPUT = + new UpdateStructuredPropertyInput( + TEST_STRUCTURED_PROPERTY_URN, + "New Display Name", + "new description", + true, + null, + null, + null, + null); + + @Test + public void testGetSuccess() throws Exception { + EntityClient mockEntityClient = initMockEntityClient(true); + UpdateStructuredPropertyResolver resolver = + new UpdateStructuredPropertyResolver(mockEntityClient); + + // Execute resolver + QueryContext mockContext = getMockAllowContext(); + DataFetchingEnvironment mockEnv = Mockito.mock(DataFetchingEnvironment.class); + Mockito.when(mockEnv.getArgument(Mockito.eq("input"))).thenReturn(TEST_INPUT); + Mockito.when(mockEnv.getContext()).thenReturn(mockContext); + + StructuredPropertyEntity prop = resolver.get(mockEnv).get(); + + assertEquals(prop.getUrn(), TEST_STRUCTURED_PROPERTY_URN); + + // Validate that we called ingest + Mockito.verify(mockEntityClient, Mockito.times(1)) + .ingestProposal(any(), any(MetadataChangeProposal.class), Mockito.eq(false)); + } + + @Test + public void testGetUnauthorized() throws Exception { + EntityClient mockEntityClient = initMockEntityClient(true); + UpdateStructuredPropertyResolver resolver = + new UpdateStructuredPropertyResolver(mockEntityClient); + + // Execute resolver + QueryContext mockContext = getMockDenyContext(); + DataFetchingEnvironment mockEnv = Mockito.mock(DataFetchingEnvironment.class); + Mockito.when(mockEnv.getArgument(Mockito.eq("input"))).thenReturn(TEST_INPUT); + Mockito.when(mockEnv.getContext()).thenReturn(mockContext); + + assertThrows(CompletionException.class, () -> resolver.get(mockEnv).join()); + + // Validate that we did NOT call ingest + Mockito.verify(mockEntityClient, Mockito.times(0)) + .ingestProposal(any(), any(MetadataChangeProposal.class), Mockito.eq(false)); + } + + @Test + public void testGetFailure() throws Exception { + EntityClient mockEntityClient = initMockEntityClient(false); + UpdateStructuredPropertyResolver resolver = + new UpdateStructuredPropertyResolver(mockEntityClient); + + // Execute resolver + QueryContext mockContext = getMockAllowContext(); + DataFetchingEnvironment mockEnv = Mockito.mock(DataFetchingEnvironment.class); + Mockito.when(mockEnv.getArgument(Mockito.eq("input"))).thenReturn(TEST_INPUT); + Mockito.when(mockEnv.getContext()).thenReturn(mockContext); + + assertThrows(CompletionException.class, () -> resolver.get(mockEnv).join()); + + // Validate that ingest was called, but that caused a failure + Mockito.verify(mockEntityClient, Mockito.times(1)) + .ingestProposal(any(), any(MetadataChangeProposal.class), Mockito.eq(false)); + } + + private EntityClient initMockEntityClient(boolean shouldSucceed) throws Exception { + EntityClient client = Mockito.mock(EntityClient.class); + EntityResponse response = new EntityResponse(); + response.setEntityName(Constants.STRUCTURED_PROPERTY_ENTITY_NAME); + response.setUrn(UrnUtils.getUrn(TEST_STRUCTURED_PROPERTY_URN)); + response.setAspects(new EnvelopedAspectMap()); + if (shouldSucceed) { + Mockito.when( + client.getV2( + any(), + Mockito.eq(Constants.STRUCTURED_PROPERTY_ENTITY_NAME), + any(), + Mockito.eq(null))) + .thenReturn(response); + } else { + Mockito.when( + client.getV2( + any(), + Mockito.eq(Constants.STRUCTURED_PROPERTY_ENTITY_NAME), + any(), + Mockito.eq(null))) + .thenThrow(new RemoteInvocationException()); + } + + return client; + } +} diff --git a/datahub-web-react/src/app/ingest/ManageIngestionPage.tsx b/datahub-web-react/src/app/ingest/ManageIngestionPage.tsx index baa92cbb7d46ce..1d04edbac228ac 100644 --- a/datahub-web-react/src/app/ingest/ManageIngestionPage.tsx +++ b/datahub-web-react/src/app/ingest/ManageIngestionPage.tsx @@ -58,9 +58,9 @@ export const ManageIngestionPage = () => { - Manage Ingestion + Manage Data Sources - Create, schedule, and run DataHub ingestion sources. + Configure and schedule syncs to import data from your data sources onClickTab(tab)}> diff --git a/datahub-web-react/src/app/ingest/source/IngestionSourceTable.tsx b/datahub-web-react/src/app/ingest/source/IngestionSourceTable.tsx index ad1e7f6425062a..00d04ed245edfa 100644 --- a/datahub-web-react/src/app/ingest/source/IngestionSourceTable.tsx +++ b/datahub-web-react/src/app/ingest/source/IngestionSourceTable.tsx @@ -3,7 +3,7 @@ import React from 'react'; import styled from 'styled-components/macro'; import { StyledTable } from '../../entity/shared/components/styled/StyledTable'; import { ANTD_GRAY } from '../../entity/shared/constants'; -import { CLI_EXECUTOR_ID } from './utils'; +import { CLI_EXECUTOR_ID, getIngestionSourceStatus } from './utils'; import { LastStatusColumn, TypeColumn, @@ -123,7 +123,7 @@ function IngestionSourceTable({ lastExecStatus: source.executions && source.executions?.executionRequests.length > 0 && - source.executions?.executionRequests[0].result?.status, + getIngestionSourceStatus(source.executions?.executionRequests[0].result), cliIngestion: source.config?.executorId === CLI_EXECUTOR_ID, })); diff --git a/datahub-web-react/src/app/ingest/source/builder/CreateScheduleStep.tsx b/datahub-web-react/src/app/ingest/source/builder/CreateScheduleStep.tsx index 3745ee0f44dc01..9207b9d0cfcf93 100644 --- a/datahub-web-react/src/app/ingest/source/builder/CreateScheduleStep.tsx +++ b/datahub-web-react/src/app/ingest/source/builder/CreateScheduleStep.tsx @@ -10,6 +10,7 @@ import { TimezoneSelect } from './TimezoneSelect'; import { ANTD_GRAY, REDESIGN_COLORS } from '../../../entity/shared/constants'; import { lowerFirstLetter } from '../../../shared/textUtil'; import { IngestionSourceBuilderStep } from './steps'; +import { RequiredFieldForm } from '../../../shared/form/RequiredFieldForm'; const Section = styled.div` display: flex; @@ -31,10 +32,25 @@ const CronText = styled(Typography.Paragraph)` color: ${ANTD_GRAY[7]}; `; +const CronInput = styled(Input)` + margin-bottom: 8px; + max-width: 200px; +`; + +const Schedule = styled.div` + display: flex; + align-items: center; + justify-content: start; +`; + +const AdvancedSchedule = styled.div` + margin-left: 20px; +`; + const AdvancedCheckBox = styled(Typography.Text)` margin-right: 10px; - margin-bottom: 8px; `; + const CronSuccessCheck = styled(CheckCircleOutlined)` color: ${REDESIGN_COLORS.BLUE}; margin-right: 4px; @@ -123,9 +139,9 @@ export const CreateScheduleStep = ({ state, updateState, goTo, prev }: StepProps
Configure an Ingestion Schedule
- + Run on a schedule (Recommended) @@ -141,29 +157,31 @@ export const CreateScheduleStep = ({ state, updateState, goTo, prev }: StepProps )} Schedule}> -
- Advanced - setAdvancedCronCheck(event.target.checked)} - /> -
- {advancedCronCheck ? ( - setScheduleCronInterval(e.target.value)} - /> - ) : ( - - )} + + {advancedCronCheck ? ( + setScheduleCronInterval(e.target.value)} + /> + ) : ( + + )} + + Show Advanced + setAdvancedCronCheck(event.target.checked)} + /> + + {cronAsText.error && <>Invalid cron schedule. Cron must be of UNIX form:} {!cronAsText.text && ( @@ -183,7 +201,7 @@ export const CreateScheduleStep = ({ state, updateState, goTo, prev }: StepProps Choose a timezone for the schedule. - +
@@ -191,6 +209,7 @@ export const CreateScheduleStep = ({ state, updateState, goTo, prev }: StepProps data-testid="ingestion-schedule-next-button" disabled={!interval || interval.length === 0 || cronAsText.error} onClick={onClickNext} + type="primary" > Next diff --git a/datahub-web-react/src/app/ingest/source/builder/DataPlatformCard.tsx b/datahub-web-react/src/app/ingest/source/builder/DataPlatformCard.tsx new file mode 100644 index 00000000000000..34efbb30008294 --- /dev/null +++ b/datahub-web-react/src/app/ingest/source/builder/DataPlatformCard.tsx @@ -0,0 +1,68 @@ +import React from 'react'; +import { Button, Image } from 'antd'; +import styled from 'styled-components'; + +import { REDESIGN_COLORS } from '../../../entity/shared/constants'; + +const Container = styled(Button)` + padding: 32px; + height: 200px; + display: flex; + justify-content: center; + border-radius: 8px; + align-items: start; + flex-direction: column; + border: 1px solid #e0e0e0; + background-color: #ffffff; + &&:hover { + border: 1px solid ${REDESIGN_COLORS.BLUE}; + background-color: #ffffff; + } + white-space: unset; +`; + +const PlatformLogo = styled(Image)` + max-height: 32px; + height: 32px; + width: auto; + object-fit: contain; + background-color: transparent; +`; + +const LogoContainer = styled.div` + margin-bottom: 14px; +`; + +const Title = styled.div` + word-break: break-word; + color: #464646; + font-weight: bold; + font-size: 16px; + margin-bottom: 8px; +`; + +const Description = styled.div` + word-break: break-word; + text-align: left; + color: #7c7c7c; +`; + +type Props = { + logoUrl?: string; + logoComponent?: React.ReactNode; + name: string; + description?: string; + onClick?: () => void; +}; + +export const DataPlatformCard = ({ logoUrl, logoComponent, name, description, onClick }: Props) => { + return ( + + + {(logoUrl && ) || logoComponent} + + {name} + {description} + + ); +}; diff --git a/datahub-web-react/src/app/ingest/source/builder/DefineRecipeStep.tsx b/datahub-web-react/src/app/ingest/source/builder/DefineRecipeStep.tsx index 4ff4623b548c92..c16193b061b793 100644 --- a/datahub-web-react/src/app/ingest/source/builder/DefineRecipeStep.tsx +++ b/datahub-web-react/src/app/ingest/source/builder/DefineRecipeStep.tsx @@ -164,7 +164,7 @@ export const DefineRecipeStep = ({ state, updateState, goTo, prev, ingestionSour - diff --git a/datahub-web-react/src/app/ingest/source/builder/IngestionDocumentationHint.tsx b/datahub-web-react/src/app/ingest/source/builder/IngestionDocumentationHint.tsx new file mode 100644 index 00000000000000..bda3d7f7424afd --- /dev/null +++ b/datahub-web-react/src/app/ingest/source/builder/IngestionDocumentationHint.tsx @@ -0,0 +1,68 @@ +import React from 'react'; +import styled from 'styled-components'; +import { Button, Tooltip } from 'antd'; +import { CloseOutlined } from '@ant-design/icons'; + +import { SourceConfig } from './types'; +import { ANTD_GRAY } from '../../../entity/shared/constants'; + +const Container = styled.div` + background-color: #ffffff; + border-radius: 8px; + padding: 12px 12px 16px 24px; + border: 1px solid #e0e0e0; + margin-bottom: 20px; +`; + +const Header = styled.div` + display: flex; + align-items: center; + justify-content: space-between; + margin-bottom: 12px; +`; + +const Title = styled.div` + font-size: 16px; + font-weight: bold; +`; + +const Description = styled.div` + font-size: 14px; + max-width: 90%; +`; + +const StyledCloseOutlined = styled(CloseOutlined)` + color: ${ANTD_GRAY[6]}; +`; + +interface Props { + sourceConfigs: SourceConfig; + onHide: () => void; +} + +export const IngestionDocumentationHint = ({ sourceConfigs, onHide }: Props) => { + const { displayName, docsUrl } = sourceConfigs; + return ( + +
+ Let's get connected! 🎉 + +
+ +
+ To import from {displayName}, we'll need some more information to connect to your instance. +
+
+ Check out the{' '} + + {displayName} Guide + {' '} + to understand the prerequisites, learn about available settings, and view examples to help connect + to the data source. +
+ + + ); +}; diff --git a/datahub-web-react/src/app/ingest/source/builder/IngestionSourceBuilderModal.tsx b/datahub-web-react/src/app/ingest/source/builder/IngestionSourceBuilderModal.tsx index 5a623b58af5c96..a41a8ec0f12ab9 100644 --- a/datahub-web-react/src/app/ingest/source/builder/IngestionSourceBuilderModal.tsx +++ b/datahub-web-react/src/app/ingest/source/builder/IngestionSourceBuilderModal.tsx @@ -1,8 +1,7 @@ -import { Button, Modal, Steps, Typography } from 'antd'; +import { Modal, Steps, Typography } from 'antd'; import React, { useEffect, useRef, useState } from 'react'; import styled from 'styled-components'; import { isEqual } from 'lodash'; -import { ExpandAltOutlined, ShrinkOutlined } from '@ant-design/icons'; import { SourceBuilderState, StepProps } from './types'; import { CreateScheduleStep } from './CreateScheduleStep'; import { DefineRecipeStep } from './DefineRecipeStep'; @@ -10,15 +9,18 @@ import { NameSourceStep } from './NameSourceStep'; import { SelectTemplateStep } from './SelectTemplateStep'; import sourcesJson from './sources.json'; -const ExpandButton = styled(Button)` - && { - margin-right: 32px; +const StyledModal = styled(Modal)` + && .ant-modal-content { + border-radius: 16px; + overflow: hidden; + min-width: 400px; } `; const TitleContainer = styled.div` display: flex; justify-content: space-between; + border-radius: 12px; `; const StepsContainer = styled.div` @@ -31,9 +33,9 @@ const StepsContainer = styled.div` * Mapping from the step type to the title for the step */ export enum IngestionSourceBuilderStepTitles { - SELECT_TEMPLATE = 'Choose Type', - DEFINE_RECIPE = 'Configure Recipe', - CREATE_SCHEDULE = 'Schedule Ingestion', + SELECT_TEMPLATE = 'Choose Data Source', + DEFINE_RECIPE = 'Configure Connection', + CREATE_SCHEDULE = 'Sync Schedule', NAME_SOURCE = 'Finish up', } @@ -57,6 +59,8 @@ export enum IngestionSourceBuilderStep { NAME_SOURCE = 'NAME_SOURCE', } +const modalBodyStyle = { padding: '16px 24px 16px 24px', backgroundColor: '#F6F6F6' }; + type Props = { initialState?: SourceBuilderState; visible: boolean; @@ -66,14 +70,17 @@ type Props = { export const IngestionSourceBuilderModal = ({ initialState, visible, onSubmit, onCancel }: Props) => { const isEditing = initialState !== undefined; - const titleText = isEditing ? 'Edit Ingestion Source' : 'New Ingestion Source'; + const titleText = isEditing ? 'Edit Data Source' : 'Connect Data Source'; const initialStep = isEditing ? IngestionSourceBuilderStep.DEFINE_RECIPE : IngestionSourceBuilderStep.SELECT_TEMPLATE; const [stepStack, setStepStack] = useState([initialStep]); - const [modalExpanded, setModalExpanded] = useState(false); - const [ingestionBuilderState, setIngestionBuilderState] = useState({}); + const [ingestionBuilderState, setIngestionBuilderState] = useState({ + schedule: { + interval: '0 0 * * *', + }, + }); const ingestionSources = JSON.parse(JSON.stringify(sourcesJson)); // TODO: replace with call to server once we have access to dynamic list of sources @@ -122,28 +129,28 @@ export const IngestionSourceBuilderModal = ({ initialState, visible, onSubmit, o const StepComponent: React.FC = IngestionSourceBuilderStepComponent[currentStep]; return ( - {titleText} - setModalExpanded(!modalExpanded)}> - {(modalExpanded && ) || } - } style={{ top: 40 }} + bodyStyle={modalBodyStyle} visible={visible} onCancel={onCancel} > - - - {Object.keys(IngestionSourceBuilderStep).map((item) => ( - - ))} - - + {currentStepIndex > 0 ? ( + + + {Object.keys(IngestionSourceBuilderStep).map((item) => ( + + ))} + + + ) : null} - + ); }; diff --git a/datahub-web-react/src/app/ingest/source/builder/NameSourceStep.tsx b/datahub-web-react/src/app/ingest/source/builder/NameSourceStep.tsx index 5573e5a3e39040..898fbd6a6d9268 100644 --- a/datahub-web-react/src/app/ingest/source/builder/NameSourceStep.tsx +++ b/datahub-web-react/src/app/ingest/source/builder/NameSourceStep.tsx @@ -1,7 +1,8 @@ -import { Button, Checkbox, Collapse, Form, Input, Typography } from 'antd'; +import { Button, Checkbox, Collapse, Form, Input, Tooltip, Typography } from 'antd'; import React from 'react'; import styled from 'styled-components'; import { SourceBuilderState, StepProps, StringMapEntryInput } from './types'; +import { RequiredFieldForm } from '../../../shared/form/RequiredFieldForm'; const ControlsContainer = styled.div` display: flex; @@ -156,7 +157,7 @@ export const NameSourceStep = ({ state, updateState, prev, submit }: StepProps) return ( <> -
+ - Give this ingestion source a name. + Give this data source a name - +
@@ -263,13 +264,15 @@ export const NameSourceStep = ({ state, updateState, prev, submit }: StepProps) > Save - + + +
diff --git a/datahub-web-react/src/app/ingest/source/builder/RecipeBuilder.tsx b/datahub-web-react/src/app/ingest/source/builder/RecipeBuilder.tsx index 880420386fa67e..2d0bfe340c5065 100644 --- a/datahub-web-react/src/app/ingest/source/builder/RecipeBuilder.tsx +++ b/datahub-web-react/src/app/ingest/source/builder/RecipeBuilder.tsx @@ -10,6 +10,7 @@ import { SourceBuilderState, SourceConfig } from './types'; import { CSV, LOOKER, LOOK_ML } from './constants'; import { LookerWarning } from './LookerWarning'; import { CSVInfo } from './CSVInfo'; +import { IngestionDocumentationHint } from './IngestionDocumentationHint'; export const ControlsContainer = styled.div` display: flex; @@ -66,6 +67,7 @@ function RecipeBuilder(props: Props) { const { state, isEditing, displayRecipe, sourceConfigs, setStagedRecipe, onClickNext, goToPrevious } = props; const { type } = state; const [isViewingForm, setIsViewingForm] = useState(true); + const [hideDocsHint, setHideDocsHint] = useState(false); function switchViews(isFormView: boolean) { try { @@ -81,12 +83,14 @@ function RecipeBuilder(props: Props) { return (
+ {!hideDocsHint && isViewingForm && sourceConfigs ? ( + setHideDocsHint(true)} sourceConfigs={sourceConfigs} /> + ) : null} {(type === LOOKER || type === LOOK_ML) && } {type === CSV && } - - {sourceConfigs?.displayName} Recipe + {sourceConfigs?.displayName} Details Previous - diff --git a/datahub-web-react/src/app/ingest/source/builder/RecipeForm/RecipeForm.tsx b/datahub-web-react/src/app/ingest/source/builder/RecipeForm/RecipeForm.tsx index bdee01d6498ee7..4199658568b9a6 100644 --- a/datahub-web-react/src/app/ingest/source/builder/RecipeForm/RecipeForm.tsx +++ b/datahub-web-react/src/app/ingest/source/builder/RecipeForm/RecipeForm.tsx @@ -1,9 +1,11 @@ -import { Button, Collapse, Form, message, Tooltip, Typography } from 'antd'; import React, { Fragment } from 'react'; + +import { Button, Collapse, Form, message, Tooltip, Typography } from 'antd'; import { get } from 'lodash'; import YAML from 'yamljs'; import { ApiOutlined, FilterOutlined, QuestionCircleOutlined, SettingOutlined } from '@ant-design/icons'; import styled from 'styled-components/macro'; + import { jsonToYaml } from '../../utils'; import { CONNECTORS_WITH_TEST_CONNECTION, RecipeSections, RECIPE_FIELDS } from './constants'; import FormField from './FormField'; @@ -11,6 +13,7 @@ import TestConnectionButton from './TestConnection/TestConnectionButton'; import { useListSecretsQuery } from '../../../../../graphql/ingestion.generated'; import { RecipeField, setFieldValueOnRecipe } from './common'; import { SourceBuilderState, SourceConfig } from '../types'; +import { RequiredFieldForm } from '../../../../shared/form/RequiredFieldForm'; export const ControlsContainer = styled.div` display: flex; @@ -140,7 +143,7 @@ function RecipeForm(props: Props) { } return ( -
} - text="Advanced" + text="Settings" sectionTooltip={advancedSectionTooltip} /> } @@ -230,9 +233,11 @@ function RecipeForm(props: Props) { - + -
+ ); } diff --git a/datahub-web-react/src/app/ingest/source/builder/RecipeForm/common.tsx b/datahub-web-react/src/app/ingest/source/builder/RecipeForm/common.tsx index 43d899301c2fc7..cbaf2f4d87991f 100644 --- a/datahub-web-react/src/app/ingest/source/builder/RecipeForm/common.tsx +++ b/datahub-web-react/src/app/ingest/source/builder/RecipeForm/common.tsx @@ -276,7 +276,7 @@ export const INCLUDE_LINEAGE: RecipeField = { export const INCLUDE_TABLE_LINEAGE: RecipeField = { name: 'include_table_lineage', label: 'Include Table Lineage', - tooltip: 'Extract Tabel-Level lineage metadata. Enabling this may increase the duration of the extraction process.', + tooltip: 'Extract Tabel-Level lineage metadata. Enabling this may increase the duration of the sync.', type: FieldType.BOOLEAN, fieldPath: 'source.config.include_table_lineage', rules: null, @@ -286,8 +286,7 @@ const isProfilingEnabledFieldPath = 'source.config.profiling.enabled'; export const TABLE_PROFILING_ENABLED: RecipeField = { name: 'profiling.enabled', label: 'Enable Table Profiling', - tooltip: - 'Generate Data Profiles for extracted Tables. Enabling this may increase the duration of the extraction process.', + tooltip: 'Generate Data Profiles for extracted Tables. Enabling this may increase the duration of the sync.', type: FieldType.BOOLEAN, fieldPath: isProfilingEnabledFieldPath, rules: null, @@ -298,7 +297,7 @@ export const COLUMN_PROFILING_ENABLED: RecipeField = { name: 'column_profiling.enabled', label: 'Enable Column Profiling', tooltip: - 'Generate Data Profiles for the Columns in extracted Tables. Enabling this may increase the duration of the extraction process.', + 'Generate Data Profiles for the Columns in extracted Tables. Enabling this may increase the duration of the sync.', type: FieldType.BOOLEAN, fieldPath: isTableProfilingOnlyFieldPath, rules: null, @@ -466,7 +465,7 @@ export const START_TIME: RecipeField = { name: 'start_time', label: 'Start Time', tooltip: - 'Earliest date used when processing audit logs for lineage, usage, and more. Default: Last full day in UTC or last time DataHub ingested usage (if stateful ingestion is enabled). Tip: Set this to an older date (e.g. 1 month ago) to bootstrap your first ingestion run, and then reduce for subsequent runs. Changing this may increase the duration of the extraction process.', + 'Earliest date used when processing audit logs for lineage, usage, and more. Default: Last full day in UTC or last time DataHub ingested usage (if stateful ingestion is enabled). Tip: Set this to an older date (e.g. 1 month ago) to bootstrap your first ingestion run, and then reduce for subsequent runs. Changing this may increase the duration of the sync.', placeholder: 'Select date and time', type: FieldType.DATE, fieldPath: startTimeFieldPath, diff --git a/datahub-web-react/src/app/ingest/source/builder/SelectTemplateStep.tsx b/datahub-web-react/src/app/ingest/source/builder/SelectTemplateStep.tsx index 6b771d459c4ef9..3998915e07a2ce 100644 --- a/datahub-web-react/src/app/ingest/source/builder/SelectTemplateStep.tsx +++ b/datahub-web-react/src/app/ingest/source/builder/SelectTemplateStep.tsx @@ -1,39 +1,60 @@ +import React, { useState } from 'react'; + import { Button, Input } from 'antd'; import { FormOutlined, SearchOutlined } from '@ant-design/icons'; -import React, { useState } from 'react'; import styled from 'styled-components'; -import { LogoCountCard } from '../../../shared/LogoCountCard'; import { SourceConfig, SourceBuilderState, StepProps } from './types'; import { IngestionSourceBuilderStep } from './steps'; import useGetSourceLogoUrl from './useGetSourceLogoUrl'; import { CUSTOM } from './constants'; import { ANTD_GRAY } from '../../../entity/shared/constants'; +import { DataPlatformCard } from './DataPlatformCard'; -const Section = styled.div` +const Container = styled.div` + max-height: 82vh; display: flex; flex-direction: column; - padding-bottom: 12px; `; -const PlatformListContainer = styled.div` +const Section = styled.div` display: flex; - justify-content: left; - align-items: center; - flex-wrap: wrap; + flex-direction: column; + padding-bottom: 12px; + overflow: hidden; `; const CancelButton = styled(Button)` - && { - margin-left: 12px; - } + max-width: 120px; +`; + +const SearchBarContainer = styled.div` + display: flex; + justify-content: end; + width: auto; + padding-right: 12px; `; const StyledSearchBar = styled(Input)` background-color: white; - border-radius: 70px; + border-radius: 8px; box-shadow: 0px 0px 30px 0px rgb(239 239 239); - width: 45%; - margin: 0 0 15px 12px; + border: 1px solid #e0e0e0; + margin: 0 0 15px 0px; + max-width: 300px; + font-size: 16px; +`; + +const StyledSearchOutlined = styled(SearchOutlined)` + color: #a9adbd; +`; + +const PlatformListContainer = styled.div` + display: grid; + grid-template-columns: repeat(auto-fill, minmax(min(100%, 31%), 1fr)); + gap: 10px; + height: 100%; + overflow-y: auto; + padding-right: 12px; `; interface SourceOptionProps { @@ -42,7 +63,7 @@ interface SourceOptionProps { } function SourceOption({ source, onClick }: SourceOptionProps) { - const { name, displayName } = source; + const { name, displayName, description } = source; const logoUrl = useGetSourceLogoUrl(name); let logoComponent; @@ -50,7 +71,15 @@ function SourceOption({ source, onClick }: SourceOptionProps) { logoComponent = ; } - return ; + return ( + + ); } /** @@ -76,22 +105,24 @@ export const SelectTemplateStep = ({ state, updateState, goTo, cancel, ingestion ); return ( - <> +
- setSearchFilter(e.target.value)} - allowClear - prefix={} - /> - + + setSearchFilter(e.target.value)} + allowClear + prefix={} + /> + + {filteredSources.map((source) => ( onSelectTemplate(source.name)} /> ))}
Cancel - + ); }; diff --git a/datahub-web-react/src/app/ingest/source/builder/TimezoneSelect.tsx b/datahub-web-react/src/app/ingest/source/builder/TimezoneSelect.tsx index d9f3df1fc99299..21731b69cf46b6 100644 --- a/datahub-web-react/src/app/ingest/source/builder/TimezoneSelect.tsx +++ b/datahub-web-react/src/app/ingest/source/builder/TimezoneSelect.tsx @@ -1,21 +1,28 @@ import { Select } from 'antd'; import React from 'react'; import moment from 'moment-timezone'; +import styled from 'styled-components'; + +const StyledSelect = styled(Select)` + max-width: 300px; +`; type Props = { value: string; - onChange: (newTimezone: string) => void; + onChange: (newTimezone: any) => void; }; export const TimezoneSelect = ({ value, onChange }: Props) => { const timezones = moment.tz.names(); return ( <> - + ); }; diff --git a/datahub-web-react/src/app/ingest/source/builder/sources.json b/datahub-web-react/src/app/ingest/source/builder/sources.json index d4faf82a20605a..c35a7a033a8ab3 100644 --- a/datahub-web-react/src/app/ingest/source/builder/sources.json +++ b/datahub-web-react/src/app/ingest/source/builder/sources.json @@ -3,55 +3,63 @@ "urn": "urn:li:dataPlatform:bigquery", "name": "bigquery", "displayName": "BigQuery", - "docsUrl": "https://datahubproject.io/docs/generated/ingestion/sources/bigquery/", + "description": "Import Projects, Datasets, Tables, Views, lineage, queries, and statistics from BigQuery.", + "docsUrl": "https://datahubproject.io/docs/quick-ingestion-guides/bigquery/overview", "recipe": "source:\n type: bigquery\n config:\n include_table_lineage: true\n include_usage_statistics: true\n include_tables: true\n include_views: true\n profiling:\n enabled: true\n profile_table_level_only: true\n stateful_ingestion:\n enabled: true" }, { "urn": "urn:li:dataPlatform:redshift", "name": "redshift", "displayName": "Redshift", - "docsUrl": "https://datahubproject.io/docs/generated/ingestion/sources/redshift/", + "description": "Import Tables, Views, Databases, Schemas, lineage, queries, and statistics from Redshift.", + "docsUrl": "https://datahubproject.io/docs/quick-ingestion-guides/redshift/overview", "recipe": "source: \n type: redshift\n config:\n # Coordinates\n host_port: # Your Redshift host and post, e.g. example.something.us-west-2.redshift.amazonaws.com:5439\n database: # Your Redshift database, e.g. SampleDatabase\n\n # Credentials\n # Add secret in Secrets Tab with relevant names for each variable\n username: null # Your Redshift username, e.g. admin\n\n table_lineage_mode: stl_scan_based\n include_table_lineage: true\n include_tables: true\n include_views: true\n profiling:\n enabled: true\n profile_table_level_only: true\n stateful_ingestion:\n enabled: true" }, { "urn": "urn:li:dataPlatform:snowflake", "name": "snowflake", "displayName": "Snowflake", - "docsUrl": "https://datahubproject.io/docs/generated/ingestion/sources/snowflake/", + "description": "Import Tables, Views, Databases, Schemas, lineage, queries, and statistics from Snowflake.", + "docsUrl": "https://datahubproject.io/docs/quick-ingestion-guides/snowflake/overview", "recipe": "source: \n type: snowflake\n config:\n account_id: null\n include_table_lineage: true\n include_view_lineage: true\n include_tables: true\n include_views: true\n profiling:\n enabled: true\n profile_table_level_only: true\n stateful_ingestion:\n enabled: true" }, { - "urn": "urn:li:dataPlatform:kafka", - "name": "kafka", - "displayName": "Kafka", - "docsUrl": "https://datahubproject.io/docs/generated/ingestion/sources/kafka/", - "recipe": "source:\n type: kafka\n config:\n connection:\n consumer_config:\n security.protocol: \"PLAINTEXT\"\n stateful_ingestion:\n enabled: false" + "urn": "urn:li:dataPlatform:unity-catalog", + "name": "unity-catalog", + "displayName": "Databricks", + "description": "Import Metastores, Schemas, Tables, lineage, queries, and statistics from Databricks Unity Catalog.", + "docsUrl": "https://datahubproject.io/docs/generated/ingestion/sources/databricks/#module-unity-catalog", + "recipe": "source:\n type: unity-catalog\n config:\n # Coordinates\n workspace_url: null\n include_table_lineage: true\n include_column_lineage: false\n stateful_ingestion:\n enabled: true" }, { "urn": "urn:li:dataPlatform:looker", "name": "looker", "displayName": "Looker", - "docsUrl": "https://datahubproject.io/docs/generated/ingestion/sources/looker/", - "recipe": "source:\n type: looker\n config:\n # Coordinates\n base_url: # Your Looker instance URL, e.g. https://company.looker.com:19999\n\n # Credentials\n # Add secret in Secrets Tab with relevant names for each variable\n client_id: null # Your Looker client id, e.g. admin\n stateful_ingestion:\n enabled: true" + "description": "Import Models, Explores, Views, Looks, Dashboards, and lineage from Looker.", + "docsUrl": "https://datahubproject.io/docs/quick-ingestion-guides/looker/overview#looker", + "recipe": "source:\n type: looker\n config:\n # Coosrdinates\n base_url: # Your Looker instance URL, e.g. https://company.looker.com:19999\n\n # Credentials\n # Add secret in Secrets Tab with relevant names for each variable\n client_id: null # Your Looker client id, e.g. admin\n stateful_ingestion:\n enabled: true" }, { "urn": "urn:li:dataPlatform:lookml", "name": "lookml", "displayName": "LookML", - "docsUrl": "https://datahubproject.io/docs/generated/ingestion/sources/looker/#module-lookml", + "description": "Import Models, Explores, Views, Looks, Dashboards, and lineage from LookML files.", + "docsUrl": "https://datahubproject.io/docs/quick-ingestion-guides/looker/overview#lookml", "recipe": "source:\n type: lookml\n config:\n parse_table_names_from_sql: true\n stateful_ingestion:\n enabled: true" }, { "urn": "urn:li:dataPlatform:tableau", "name": "tableau", "displayName": "Tableau", - "docsUrl": "https://datahubproject.io/docs/generated/ingestion/sources/tableau/", + "description": "Import Data Sources, Workbooks, Worksheets, Tags, Dashboards, and lineage from Tableau.", + "docsUrl": "https://datahubproject.io/docs/quick-ingestion-guides/tableau/overview", "recipe": "source:\n type: tableau\n config:\n # Coordinates\n connect_uri: null\n stateful_ingestion:\n enabled: true" }, { "urn": "urn:li:dataPlatform:powerbi", "name": "powerbi", "displayName": "PowerBI", + "description": "Import Dashboards, Tiles, Datasets, and lineage from PowerBI.", "docsUrl": "https://datahubproject.io/docs/generated/ingestion/sources/powerbi/", "recipe": "source:\n type: \"powerbi\"\n config:\n # Your Power BI tenant identifier\n tenant_id: null\n # Your Power BI client id\n client_id: null\n # Your Power BI client secret\n client_secret: null\n stateful_ingestion:\n enabled: true" }, @@ -59,6 +67,7 @@ "urn": "urn:li:dataPlatform:dbt", "name": "dbt-cloud", "displayName": "dbt Cloud", + "description": "Import Sources, Seeds, Models, Snapshots, Tests, and lineage from dbt cloud.", "docsUrl": "https://datahubproject.io/docs/generated/ingestion/sources/dbt/#module-dbt-cloud", "recipe": "source:\n type: dbt-cloud\n config:\n account_id: null\n project_id: null\n job_id: null\n target_platform: null\n stateful_ingestion:\n enabled: true" }, @@ -66,6 +75,7 @@ "urn": "urn:li:dataPlatform:mysql", "name": "mysql", "displayName": "MySQL", + "description": "Import Tables, Views, Databases, Schemas, and statistics from MySQL.", "docsUrl": "https://datahubproject.io/docs/generated/ingestion/sources/mysql/", "recipe": "source: \n type: mysql\n config: \n # Coordinates\n host_port: # Your MySQL host and post, e.g. mysql:3306\n database: # Your MySQL database name, e.g. datahub\n \n # Credentials\n # Add secret in Secrets Tab with relevant names for each variable\n username: null # Your MySQL username, e.g. admin\n\n # Options\n include_tables: true\n include_views: true\n\n # Profiling\n profiling:\n enabled: true\n profile_table_level_only: true\n stateful_ingestion:\n enabled: true" }, @@ -73,13 +83,23 @@ "urn": "urn:li:dataPlatform:postgres", "name": "postgres", "displayName": "Postgres", + "description": "Import Tables, Views, Databases, Schemas, and statistics from Postgres.", "docsUrl": "https://datahubproject.io/docs/generated/ingestion/sources/postgres/", "recipe": "source: \n type: postgres\n config:\n # Coordinates\n host_port: # Your Postgres host and port, e.g. postgres:5432\n database: # Your Postgres Database, e.g. sample_db\n\n # Credentials\n # Add secret in Secrets Tab with relevant names for each variable\n username: null # Your Postgres username, e.g. admin\n\n # Options\n include_tables: true\n include_views: true\n\n # Profiling\n profiling:\n enabled: true\n profile_table_level_only: true\n stateful_ingestion:\n enabled: true" }, + { + "urn": "urn:li:dataPlatform:kafka", + "name": "kafka", + "displayName": "Kafka", + "description": "Import streaming topics from Kafka.", + "docsUrl": "https://datahubproject.io/docs/generated/ingestion/sources/kafka/", + "recipe": "source:\n type: kafka\n config:\n connection:\n consumer_config:\n security.protocol: \"PLAINTEXT\"\n stateful_ingestion:\n enabled: false" + }, { "urn": "urn:li:dataPlatform:hive", "name": "hive", "displayName": "Hive", + "description": "Import Tables, Views, Databases, Schemas, and statistics from Hive.", "docsUrl": "https://datahubproject.io/docs/generated/ingestion/sources/hive/", "recipe": "source: \n type: hive\n config:\n # Coordinates\n host_port: # Your Hive host and port, e.g. hive:10000\n database: # Your Hive database name, e.g. SampleDatabase (Optional, if not specified, ingests from all databases)\n\n # Credentials\n # Add secret in Secrets Tab with relevant names for each variable\n username: null # Your Hive username, e.g. admin\n stateful_ingestion:\n enabled: true" }, @@ -87,6 +107,7 @@ "urn": "urn:li:dataPlatform:presto", "name": "presto", "displayName": "Presto", + "description": "Import Tables, Databases, Schemas, and statistics from Presto.", "docsUrl": "https://datahubproject.io/docs/generated/ingestion/sources/presto/", "recipe": "source:\n type: presto\n config:\n # Coordinates\n host_port: null\n # The name of the catalog from getting the usage\n database: null\n # Credentials\n username: null\n include_views: true\n include_tables: true\n profiling:\n enabled: true\n profile_table_level_only: true\n stateful_ingestion:\n enabled: true" }, @@ -94,13 +115,23 @@ "urn": "urn:li:dataPlatform:trino", "name": "trino", "displayName": "Trino", + "description": "Import Tables, Databases, Schemas, and statistics from Trino.", "docsUrl": "https://datahubproject.io/docs/generated/ingestion/sources/trino/", "recipe": "source:\n type: trino\n config:\n # Coordinates\n host_port: null\n # The name of the catalog from getting the usage\n database: null\n # Credentials\n username: null\n include_views: true\n include_tables: true\n profiling:\n enabled: true\n profile_table_level_only: true\n stateful_ingestion:\n enabled: true" }, + { + "urn": "urn:li:dataPlatform:glue", + "name": "glue", + "displayName": "Glue", + "description": "Import Tables, Databases, Jobs, statistics, and lineage to S3 from AWS Glue.", + "docsUrl": "https://datahubproject.io/docs/generated/ingestion/sources/glue/", + "recipe": "source:\n type: glue\n config:\n # AWS credentials. \n aws_region: # The region for your AWS Glue instance. \n # Add secret in Secrets Tab with relevant names for each variable\n # The access key for your AWS account.\n aws_access_key_id: \"${AWS_ACCESS_KEY_ID}\"\n # The secret key for your AWS account.\n aws_secret_access_key: \"${AWS_SECRET_KEY}\"\n aws_session_token: # The session key for your AWS account. This is only needed when you are using temporary credentials.\n # aws_role: # (Optional) The role to assume (Role chaining supported by using a sorted list).\n\n # Allow / Deny specific databases & tables\n # database_pattern:\n # allow:\n # - \"flights-database\"\n # table_pattern:\n # allow:\n # - \"avro\"" + }, { "urn": "urn:li:dataPlatform:mssql", "name": "mssql", "displayName": "Microsoft SQL Server", + "description": "Import Tables, Views, Databases, Schemas, and statistics from SQL Server.", "docsUrl": "https://datahubproject.io/docs/generated/ingestion/sources/mssql/", "recipe": "source:\n type: mssql\n config:\n # Coordinates\n host_port: null\n # The name\n database: null\n # Credentials\n username: null\n include_views: true\n include_tables: true\n profiling:\n enabled: true\n profile_table_level_only: true\n stateful_ingestion:\n enabled: true" }, @@ -108,20 +139,15 @@ "urn": "urn:li:dataPlatform:mariadb", "name": "mariadb", "displayName": "MariaDB", + "description": "Import Tables, Views, Databases, Schemas, and statistics from MariaDB.", "docsUrl": "https://datahubproject.io/docs/generated/ingestion/sources/mariadb/", "recipe": "source:\n type: mariadb\n config:\n # Coordinates\n host_port: null\n # The name\n database: null\n # Credentials\n username: null\n include_views: true\n include_tables: true\n profiling:\n enabled: true\n profile_table_level_only: true\n stateful_ingestion:\n enabled: true" }, - { - "urn": "urn:li:dataPlatform:unity-catalog", - "name": "unity-catalog", - "displayName": "Databricks Unity Catalog", - "docsUrl": "https://datahubproject.io/docs/generated/ingestion/sources/databricks/#module-unity-catalog", - "recipe": "source:\n type: unity-catalog\n config:\n # Coordinates\n workspace_url: null\n include_table_lineage: true\n include_column_lineage: false\n stateful_ingestion:\n enabled: true" - }, { "urn": "urn:li:dataPlatform:mongodb", "name": "mongodb", "displayName": "MongoDB", + "description": "Import Databases and Collections from MongoDB.", "docsUrl": "https://datahubproject.io/docs/generated/ingestion/sources/mongodb/", "recipe": "source:\n type: mongodb\n config:\n # Coordinates\n connect_uri: # Your MongoDB connect URI, e.g. \"mongodb://localhost\"\n\n # Credentials\n # Add secret in Secrets Tab with relevant names for each variable\n username: \"${MONGO_USERNAME}\" # Your MongoDB username, e.g. admin\n password: \"${MONGO_PASSWORD}\" # Your MongoDB password, e.g. password_01\n\n # Options (recommended)\n enableSchemaInference: True\n useRandomSampling: True\n maxSchemaSize: 300" }, @@ -129,20 +155,15 @@ "urn": "urn:li:dataPlatform:dynamodb", "name": "dynamodb", "displayName": "DynamoDB", + "description": "Import Tables from DynamoDB.", "docsUrl": "https://datahubproject.io/docs/metadata-ingestion/", "recipe": "source:\n type: dynamodb\n config:\n platform_instance: \"AWS_ACCOUNT_ID\"\n aws_access_key_id : '${AWS_ACCESS_KEY_ID}'\n aws_secret_access_key : '${AWS_SECRET_ACCESS_KEY}'\n # If there are items that have most representative fields of the table, users could use the\n # `include_table_item` option to provide a list of primary keys of the table in dynamodb format.\n # For each `region.table`, the list of primary keys can be at most 100.\n # We include these items in addition to the first 100 items in the table when we scan it.\n # include_table_item:\n # region.table_name:\n # [\n # {\n # 'partition_key_name': { 'attribute_type': 'attribute_value' },\n # 'sort_key_name': { 'attribute_type': 'attribute_value' },\n # },\n # ]" }, - { - "urn": "urn:li:dataPlatform:glue", - "name": "glue", - "displayName": "Glue", - "docsUrl": "https://datahubproject.io/docs/generated/ingestion/sources/glue/", - "recipe": "source:\n type: glue\n config:\n # AWS credentials. \n aws_region: # The region for your AWS Glue instance. \n # Add secret in Secrets Tab with relevant names for each variable\n # The access key for your AWS account.\n aws_access_key_id: \"${AWS_ACCESS_KEY_ID}\"\n # The secret key for your AWS account.\n aws_secret_access_key: \"${AWS_SECRET_KEY}\"\n aws_session_token: # The session key for your AWS account. This is only needed when you are using temporary credentials.\n # aws_role: # (Optional) The role to assume (Role chaining supported by using a sorted list).\n\n # Allow / Deny specific databases & tables\n # database_pattern:\n # allow:\n # - \"flights-database\"\n # table_pattern:\n # allow:\n # - \"avro\"" - }, { "urn": "urn:li:dataPlatform:oracle", "name": "oracle", "displayName": "Oracle", + "description": "Import Databases, Schemas, Tables, Views, statistics, and lineage from Oracle.", "docsUrl": "https://datahubproject.io/docs/generated/ingestion/sources/oracle/", "recipe": "source: \n type: oracle\n config:\n # Coordinates\n host_port: # Your Oracle host and port, e.g. oracle:5432\n database: # Your Oracle database name, e.g. sample_db\n\n # Credentials\n # Add secret in Secrets Tab with relevant names for each variable\n username: \"${ORACLE_USERNAME}\" # Your Oracle username, e.g. admin\n password: \"${ORACLE_PASSWORD}\" # Your Oracle password, e.g. password_01\n\n # Optional service name\n # service_name: # Your service name, e.g. svc # omit database if using this option" }, @@ -150,6 +171,7 @@ "urn": "urn:li:dataPlatform:superset", "name": "superset", "displayName": "Superset", + "description": "Import Charts and Dashboards from Superset", "docsUrl": "https://datahubproject.io/docs/generated/ingestion/sources/superset/", "recipe": "source:\n type: superset\n config:\n # Coordinates\n connect_uri: http://localhost:8088\n\n # Credentials\n username: user\n password: pass\n provider: ldap" }, @@ -157,6 +179,7 @@ "urn": "urn:li:dataPlatform:athena", "name": "athena", "displayName": "Athena", + "description": "Import Schemas, Tables, Views, and lineage to S3 from Athena.", "docsUrl": "https://datahubproject.io/docs/generated/ingestion/sources/athena/", "recipe": "source:\n type: athena\n config:\n # Coordinates\n aws_region: my_aws_region\n work_group: primary\n\n # Options\n s3_staging_dir: \"s3://my_staging_athena_results_bucket/results/\"" }, @@ -164,6 +187,7 @@ "urn": "urn:li:dataPlatform:clickhouse", "name": "clickhouse", "displayName": "ClickHouse", + "description": "Import Tables, Views, Materialized Views, Dictionaries, statistics, queries, and lineage from ClickHouse.", "docsUrl": "https://datahubproject.io/docs/generated/ingestion/sources/clickhouse/", "recipe": "source:\n type: clickhouse\n config:\n # Coordinates\n host_port: localhost:9000\n\n # Credentials\n username: user\n password: pass\n\n # Options\n platform_instance: DatabaseNameToBeIngested\n\n include_views: true # whether to include views, defaults to True\n include_tables: true # whether to include views, defaults to True\n\nsink:\n # sink configs\n\n#---------------------------------------------------------------------------\n# For the HTTP interface:\n#---------------------------------------------------------------------------\nsource:\n type: clickhouse\n config:\n host_port: localhost:8443\n protocol: https\n\n#---------------------------------------------------------------------------\n# For the Native interface:\n#---------------------------------------------------------------------------\n\nsource:\n type: clickhouse\n config:\n host_port: localhost:9440\n scheme: clickhouse+native\n secure: True" }, @@ -171,13 +195,23 @@ "urn": "urn:li:dataPlatform:druid", "name": "druid", "displayName": "Druid", + "description": "Import Databases, Schemas, Tables, statistics, and lineage from Druid.", "docsUrl": "https://datahubproject.io/docs/generated/ingestion/sources/druid/", "recipe": "source:\n type: druid\n config:\n # Coordinates\n host_port: \"localhost:8082\"\n\n # Credentials\n username: admin\n password: password" }, + { + "urn": "urn:li:dataPlatform:mode", + "name": "mode", + "displayName": "Mode", + "description": "Import Reports, Charts, and lineage from Mode.", + "docsUrl": "https://datahubproject.io/docs/generated/ingestion/sources/mode/", + "recipe": "source:\n type: mode\n config:\n # Coordinates\n connect_uri: http://app.mode.com\n\n # Credentials\n token: token\n password: pass\n\n # Options\n workspace: \"datahub\"\n default_schema: \"public\"\n owner_username_instead_of_email: False\n api_options:\n retry_backoff_multiplier: 2\n max_retry_interval: 10\n max_attempts: 5" + }, { "urn": "urn:li:dataPlatform:metabase", "name": "metabase", "displayName": "Metabase", + "description": "Import Collections, Dashboards, and Charts from Metabase.", "docsUrl": "https://datahubproject.io/docs/generated/ingestion/sources/metabase/", "recipe": "source:\n type: metabase\n config:\n # Coordinates\n connect_uri:\n\n # Credentials\n username: root\n password: example" }, @@ -185,20 +219,15 @@ "urn": "urn:li:dataPlatform:mlflow", "name": "mlflow", "displayName": "MLflow", + "description": "Import Registered Models, Model Versions, and Model Stages from MLflow.", "docsUrl": "https://datahubproject.io/docs/generated/ingestion/sources/mlflow/", "recipe": "source:\n type: mlflow\n config:\n tracking_uri: tracking_uri" }, - { - "urn": "urn:li:dataPlatform:mode", - "name": "mode", - "displayName": "Mode", - "docsUrl": "https://datahubproject.io/docs/generated/ingestion/sources/mode/", - "recipe": "source:\n type: mode\n config:\n # Coordinates\n connect_uri: http://app.mode.com\n\n # Credentials\n token: token\n password: pass\n\n # Options\n workspace: \"datahub\"\n default_schema: \"public\"\n owner_username_instead_of_email: False\n api_options:\n retry_backoff_multiplier: 2\n max_retry_interval: 10\n max_attempts: 5" - }, { "urn": "urn:li:dataPlatform:azure-ad", "name": "azure-ad", "displayName": "Azure AD", + "description": "Import Users and Groups from Azure Active Directory.", "docsUrl": "https://datahubproject.io/docs/generated/ingestion/sources/azure-ad/", "recipe": "source:\n type: azure-ad\n config:\n client_id: # Your Azure Client ID, e.g. \"00000000-0000-0000-0000-000000000000\"\n tenant_id: # Your Azure Tenant ID, e.g. \"00000000-0000-0000-0000-000000000000\"\n # Add secret in Secrets Tab with this name\n client_secret: \n redirect: # Your Redirect URL, e.g. \"https://login.microsoftonline.com/common/oauth2/nativeclient\"\n authority: # Your Authority URL, e.g. \"https://login.microsoftonline.com/00000000-0000-0000-0000-000000000000\"\n token_url: # Your Token URL, e.g. \"https://login.microsoftonline.com/00000000-0000-0000-0000-000000000000/oauth2/token\"\n graph_url: # The Graph URL, e.g. \"https://graph.microsoft.com/v1.0\"\n \n # Optional flags to ingest users, groups, or both\n ingest_users: True\n ingest_groups: True\n \n # Optional Allow / Deny extraction of particular Groups\n # groups_pattern:\n # allow:\n # - \".*\"\n\n # Optional Allow / Deny extraction of particular Users.\n # users_pattern:\n # allow:\n # - \".*\"" }, @@ -206,6 +235,7 @@ "urn": "urn:li:dataPlatform:okta", "name": "okta", "displayName": "Okta", + "description": "Import Users and Groups from Okta.", "docsUrl": "https://datahubproject.io/docs/generated/ingestion/sources/okta/", "recipe": "source:\n type: okta\n config:\n # Coordinates\n okta_domain: # Your Okta Domain, e.g. \"dev-35531955.okta.com\"\n\n # Credentials\n # Add secret in Secrets Tab with relevant names for each variable\n okta_api_token: # Your Okta API Token, e.g. \"11be4R_M2MzDqXawbTHfKGpKee0kuEOfX1RCQSRx99\"\n\n # Optional flags to ingest users, groups, or both\n ingest_users: True\n ingest_groups: True\n\n # Optional: Customize the mapping to DataHub Username from an attribute appearing in the Okta User\n # profile. Reference: https://developer.okta.com/docs/reference/api/users/\n # okta_profile_to_username_attr: str = \"login\"\n # okta_profile_to_username_regex: str = \"([^@]+)\"\n \n # Optional: Customize the mapping to DataHub Group from an attribute appearing in the Okta Group\n # profile. Reference: https://developer.okta.com/docs/reference/api/groups/\n # okta_profile_to_group_name_attr: str = \"name\"\n # okta_profile_to_group_name_regex: str = \"(.*)\"\n \n # Optional: Include deprovisioned or suspended Okta users in the ingestion.\n # include_deprovisioned_users = False\n # include_suspended_users = False" }, @@ -213,6 +243,7 @@ "urn": "urn:li:dataPlatform:vertica", "name": "vertica", "displayName": "Vertica", + "description": "Import Databases, Schemas, Tables, Views, Projections, statistics, and lineage from Vertica.", "docsUrl": "https://datahubproject.io/docs/generated/ingestion/sources/vertica/", "recipe": "source:\n type: vertica\n config:\n # Coordinates\n host_port: localhost:5433\n # The name of the vertica database\n database: Database_Name\n # Credentials\n username: Vertica_User\n password: Vertica_Password\n\n include_tables: true\n include_views: true\n include_projections: true\n include_models: true\n include_view_lineage: true\n include_projection_lineage: true\n profiling:\n enabled: false\n stateful_ingestion:\n enabled: true " }, @@ -220,42 +251,48 @@ "urn": "urn:li:dataPlatform:fivetran", "name": "fivetran", "displayName": "Fivetran", + "description": "Import Connectors, Destinations, Sync Histor, Users, and lineage from FiveTran.", "docsUrl": "https://datahubproject.io/docs/generated/ingestion/sources/fivetran/", "recipe": "source:\n type: fivetran\n config:\n # Fivetran log connector destination server configurations\n fivetran_log_config:\n destination_platform: snowflake\n snowflake_destination_config:\n # Coordinates\n account_id: snowflake_account_id\n warehouse: warehouse_name\n database: snowflake_db\n log_schema: fivetran_log_schema\n\n # Credentials\n username: ${SNOWFLAKE_USER}\n password: ${SNOWFLAKE_PASS}\n role: snowflake_role\n\n # Optional - filter for certain connector names instead of ingesting everything.\n # connector_patterns:\n # allow:\n # - connector_name\n\n # Optional -- This mapping is optional and only required to configure platform-instance for source\n # A mapping of Fivetran connector id to data platform instance\n # sources_to_platform_instance:\n # calendar_elected:\n # platform_instance: cloud_postgres_instance\n # env: DEV\n\n # Optional -- This mapping is optional and only required to configure platform-instance for destination.\n # A mapping of Fivetran destination id to data platform instance\n # destination_to_platform_instance:\n # calendar_elected:\n # platform_instance: cloud_postgres_instance\n # env: DEV" }, { - "urn": "urn:li:dataPlatform:csv-enricher", - "name": "csv-enricher", - "displayName": "CSV", - "docsUrl": "https://datahubproject.io/docs/generated/ingestion/sources/csv'", - "recipe": "source: \n type: csv-enricher \n config: \n # URL of your csv file to ingest \n filename: \n array_delimiter: '|' \n delimiter: ',' \n write_semantics: PATCH" - }, - { - "urn": "urn:li:dataPlatform:custom", - "name": "custom", - "displayName": "Other", - "docsUrl": "https://datahubproject.io/docs/metadata-ingestion/", - "recipe": "source:\n type: \n config:\n # Source-type specifics config\n " + "urn": "urn:li:dataPlatform:sigma", + "name": "sigma", + "displayName": "Sigma", + "description": "Import Workspaces, Workbooks, Pages, Elements, and lineage from Sigma Computing.", + "docsUrl": "https://datahubproject.io/docs/generated/ingestion/sources/sigma/", + "recipe": "source:\n type: sigma\n config:\n # Coordinates\n api_url: https://aws-api.sigmacomputing.com/v2\n # Coordinates\n client_id: CLIENT_ID\n client_secret: CLIENT_SECRET\n\n # Optional - filter for certain workspace names instead of ingesting everything.\n # workspace_pattern:\n\n # allow:\n # - workspace_name\n ingest_owner: true" }, { "urn": "urn:li:dataPlatform:qlik-sense", "name": "qlik-sense", "displayName": "Qlik Sense", + "description": "Import Spaces, Apps, Sheets, Charts, and Datasets from Qlik Sense.", "docsUrl": "https://datahubproject.io/docs/generated/ingestion/sources/qlik-sense/", "recipe": "source:\n type: qlik-sense\n config:\n # Coordinates\n tenant_hostname: https://xyz12xz.us.qlikcloud.com\n # Coordinates\n api_key: QLIK_API_KEY\n\n # Optional - filter for certain space names instead of ingesting everything.\n # space_pattern:\n\n # allow:\n # - space_name\n ingest_owner: true" }, - { - "urn": "urn:li:dataPlatform:sigma", - "name": "sigma", - "displayName": "Sigma", - "docsUrl": "https://datahubproject.io/docs/generated/ingestion/sources/sigma/", - "recipe": "source:\n type: sigma\n config:\n # Coordinates\n api_url: https://aws-api.sigmacomputing.com/v2\n # Coordinates\n client_id: CLIENT_ID\n client_secret: CLIENT_SECRET\n\n # Optional - filter for certain workspace names instead of ingesting everything.\n # workspace_pattern:\n\n # allow:\n # - workspace_name\n ingest_owner: true" - }, { "urn": "urn:li:dataPlatform:cockroachdb", "name": "cockroachdb", "displayName": "CockroachDb", + "description": "Import Databases, Schemas, Tables, Views, statistics and lineage from CockroachDB.", "docsUrl": "https://datahubproject.io/docs/generated/ingestion/sources/cockroachdb/", "recipe": "source: \n type: cockroachdb\n config:\n # Coordinates\n host_port: # Your CockroachDb host and port, e.g. cockroachdb:5432\n database: # Your CockroachDb Database, e.g. sample_db\n\n # Credentials\n # Add secret in Secrets Tab with relevant names for each variable\n username: null # Your CockroachDb username, e.g. admin\n\n # Options\n include_tables: true\n include_views: true\n\n # Profiling\n profiling:\n enabled: true\n profile_table_level_only: true\n stateful_ingestion:\n enabled: true" + }, + { + "urn": "urn:li:dataPlatform:csv-enricher", + "name": "csv-enricher", + "displayName": "CSV", + "description": "Import metadata from a formatted CSV.", + "docsUrl": "https://datahubproject.io/docs/generated/ingestion/sources/csv'", + "recipe": "source: \n type: csv-enricher \n config: \n # URL of your csv file to ingest \n filename: \n array_delimiter: '|' \n delimiter: ',' \n write_semantics: PATCH" + }, + { + "urn": "urn:li:dataPlatform:custom", + "name": "custom", + "displayName": "Other", + "description": "Configure a custom recipe using YAML.", + "docsUrl": "https://datahubproject.io/docs/metadata-ingestion/", + "recipe": "source:\n type: \n config:\n # Source-type specifics config\n " } ] diff --git a/datahub-web-react/src/app/ingest/source/builder/types.ts b/datahub-web-react/src/app/ingest/source/builder/types.ts index 2df467b7beba1f..e42bd0b790b2c8 100644 --- a/datahub-web-react/src/app/ingest/source/builder/types.ts +++ b/datahub-web-react/src/app/ingest/source/builder/types.ts @@ -18,6 +18,7 @@ export interface SourceConfig { name: string; displayName: string; docsUrl: string; + description?: string; recipe: string; } diff --git a/datahub-web-react/src/app/ingest/source/executions/ExecutionRequestDetailsModal.tsx b/datahub-web-react/src/app/ingest/source/executions/ExecutionRequestDetailsModal.tsx index 0799f8af1173dc..6711f0ad12b03c 100644 --- a/datahub-web-react/src/app/ingest/source/executions/ExecutionRequestDetailsModal.tsx +++ b/datahub-web-react/src/app/ingest/source/executions/ExecutionRequestDetailsModal.tsx @@ -13,9 +13,13 @@ import { getExecutionRequestStatusDisplayText, getExecutionRequestStatusIcon, getExecutionRequestSummaryText, + getIngestionSourceStatus, + getStructuredReport, RUNNING, SUCCESS, } from '../utils'; +import { ExecutionRequestResult } from '../../../../types.generated'; +import { StructuredReport } from './reporting/StructuredReport'; const StyledTitle = styled(Typography.Title)` padding: 0px; @@ -125,26 +129,30 @@ export const ExecutionDetailsModal = ({ urn, visible, onClose }: Props) => { }; const logs = (showExpandedLogs && output) || output?.split('\n').slice(0, 5).join('\n'); - const result = data?.executionRequest?.result?.status; + const result = data?.executionRequest?.result as Partial; + const status = getIngestionSourceStatus(result); useEffect(() => { const interval = setInterval(() => { - if (result === RUNNING) refetch(); + if (status === RUNNING) refetch(); }, 2000); return () => clearInterval(interval); }); - const ResultIcon = result && getExecutionRequestStatusIcon(result); - const resultColor = result && getExecutionRequestStatusDisplayColor(result); - const resultText = result && ( + const ResultIcon = status && getExecutionRequestStatusIcon(status); + const resultColor = status && getExecutionRequestStatusDisplayColor(status); + const resultText = status && ( {ResultIcon && } - {getExecutionRequestStatusDisplayText(result)} + {getExecutionRequestStatusDisplayText(status)} ); + + const structuredReport = result && getStructuredReport(result); + const resultSummaryText = - (result && {getExecutionRequestSummaryText(result)}) || + (status && {getExecutionRequestSummaryText(status)}) || undefined; const recipeJson = data?.executionRequest?.input.arguments?.find((arg) => arg.key === 'recipe')?.value; @@ -167,21 +175,22 @@ export const ExecutionDetailsModal = ({ urn, visible, onClose }: Props) => { bodyStyle={modalBodyStyle} title={ - Ingestion Run Details + Sync Details } visible={visible} onCancel={onClose} > - {!data && loading && } - {error && message.error('Failed to load execution details :(')} + {!data && loading && } + {error && message.error('Failed to load sync details :(')}
Status {resultText} {resultSummaryText} + {structuredReport ? : null} - {result === SUCCESS && ( + {status === SUCCESS && ( {data?.executionRequest?.id && } @@ -190,7 +199,7 @@ export const ExecutionDetailsModal = ({ urn, visible, onClose }: Props) => { Logs - View logs that were collected during the ingestion run. + View logs that were collected during the sync.
+ {dataPlatformInstances?.length > 0 && ( +
+ Data Platform Instances + + {dataPlatformInstances.map((value, key) => { + return ( + // eslint-disable-next-line react/no-array-index-key + + {getDisplayName(value.entity)} + + ); + })} +
+ )}
Domains diff --git a/datahub-web-react/src/app/shared/ShowMoreSection.tsx b/datahub-web-react/src/app/shared/ShowMoreSection.tsx new file mode 100644 index 00000000000000..d315dd5b8d1ce7 --- /dev/null +++ b/datahub-web-react/src/app/shared/ShowMoreSection.tsx @@ -0,0 +1,31 @@ +import React from 'react'; +import styled from 'styled-components'; +import { ANTD_GRAY } from '../entity/shared/constants'; + +export const ShowMoreButton = styled.div` + margin-top: 12px; + padding: 0px; + color: ${ANTD_GRAY[7]}; + text-align: left; + :hover { + cursor: pointer; + color: ${ANTD_GRAY[8]}; + text-decoration: underline; + } +`; + +type Props = { + totalCount: number; + visibleCount: number; + setVisibleCount: (visibleCount: number) => void; + pageSize?: number; +}; + +export const ShowMoreSection = ({ totalCount, visibleCount, setVisibleCount, pageSize = 4 }: Props) => { + const showMoreCount = visibleCount + pageSize > totalCount ? totalCount - visibleCount : pageSize; + return ( + setVisibleCount(visibleCount + pageSize)}> + {showMoreCount ? `show ${showMoreCount} more` : 'show more'} + + ); +}; diff --git a/datahub-web-react/src/app/shared/form/RequiredFieldForm.tsx b/datahub-web-react/src/app/shared/form/RequiredFieldForm.tsx new file mode 100644 index 00000000000000..d35af17e1b1ce6 --- /dev/null +++ b/datahub-web-react/src/app/shared/form/RequiredFieldForm.tsx @@ -0,0 +1,14 @@ +import { Form } from 'antd'; +import styled from 'styled-components'; + +const DEFAULT_ASTERICK_COLOR = '#F5222D'; + +export const RequiredFieldForm = styled(Form)<{ requiredColor?: string }>` + && { + .ant-form-item-label > label.ant-form-item-required::before { + color: ${(props) => + props.requiredColor || DEFAULT_ASTERICK_COLOR}; /* Change 'red' to any color you prefer */ + content: '*'; /* Ensure the asterisk is always used */ + } + } +`; diff --git a/datahub-web-react/src/graphql/ingestion.graphql b/datahub-web-react/src/graphql/ingestion.graphql index c172ccdbe7632c..ebdfb0cfd87e6c 100644 --- a/datahub-web-react/src/graphql/ingestion.graphql +++ b/datahub-web-react/src/graphql/ingestion.graphql @@ -39,6 +39,10 @@ query listIngestionSources($input: ListIngestionSourcesInput!) { status startTimeMs durationMs + structuredReport { + type + serializedValue + } } } } @@ -86,6 +90,10 @@ query getIngestionSource($urn: String!, $runStart: Int, $runCount: Int) { status startTimeMs durationMs + structuredReport { + type + serializedValue + } } } } diff --git a/docker/quickstart/docker-compose-m1.quickstart.yml b/docker/quickstart/docker-compose-m1.quickstart.yml index 25779d7f058ea1..834d55096468f6 100644 --- a/docker/quickstart/docker-compose-m1.quickstart.yml +++ b/docker/quickstart/docker-compose-m1.quickstart.yml @@ -24,7 +24,7 @@ services: test: nc -z broker $${DATAHUB_KAFKA_BROKER_PORT:-9092} timeout: 5s hostname: broker - image: confluentinc/cp-kafka:7.4.0 + image: ${DATAHUB_CONFLUENT_KAFKA_IMAGE:-confluentinc/cp-kafka}:${DATAHUB_CONFLUENT_VERSION:-7.4.0} ports: - ${DATAHUB_MAPPED_KAFKA_BROKER_PORT:-9092}:9092 volumes: @@ -271,7 +271,7 @@ services: test: nc -z schema-registry ${DATAHUB_SCHEMA_REGISTRY_PORT:-8081} timeout: 5s hostname: schema-registry - image: confluentinc/cp-schema-registry:7.4.0 + image: ${DATAHUB_CONFLUENT_SCHEMA_REGISTRY_IMAGE:-confluentinc/cp-schema-registry}:${DATAHUB_CONFLUENT_VERSION:-7.4.0} ports: - ${DATAHUB_MAPPED_SCHEMA_REGISTRY_PORT:-8081}:8081 zookeeper: @@ -285,7 +285,7 @@ services: test: echo srvr | nc zookeeper $${DATAHUB_ZK_PORT:-2181} timeout: 5s hostname: zookeeper - image: confluentinc/cp-zookeeper:7.4.0 + image: ${DATAHUB_CONFLUENT_ZOOKEEPER_IMAGE:-confluentinc/cp-zookeeper}:${DATAHUB_CONFLUENT_VERSION:-7.4.0} ports: - ${DATAHUB_MAPPED_ZK_PORT:-2181}:2181 volumes: diff --git a/docker/quickstart/docker-compose-without-neo4j-m1.quickstart.yml b/docker/quickstart/docker-compose-without-neo4j-m1.quickstart.yml index 8e3b4b166ce9c1..47fb50f78e4f0c 100644 --- a/docker/quickstart/docker-compose-without-neo4j-m1.quickstart.yml +++ b/docker/quickstart/docker-compose-without-neo4j-m1.quickstart.yml @@ -24,7 +24,7 @@ services: test: nc -z broker $${DATAHUB_KAFKA_BROKER_PORT:-9092} timeout: 5s hostname: broker - image: confluentinc/cp-kafka:7.4.0 + image: ${DATAHUB_CONFLUENT_KAFKA_IMAGE:-confluentinc/cp-kafka}:${DATAHUB_CONFLUENT_VERSION:-7.4.0} ports: - ${DATAHUB_MAPPED_KAFKA_BROKER_PORT:-9092}:9092 volumes: @@ -245,7 +245,7 @@ services: test: nc -z schema-registry ${DATAHUB_SCHEMA_REGISTRY_PORT:-8081} timeout: 5s hostname: schema-registry - image: confluentinc/cp-schema-registry:7.4.0 + image: ${DATAHUB_CONFLUENT_SCHEMA_REGISTRY_IMAGE:-confluentinc/cp-schema-registry}:${DATAHUB_CONFLUENT_VERSION:-7.4.0} ports: - ${DATAHUB_MAPPED_SCHEMA_REGISTRY_PORT:-8081}:8081 zookeeper: @@ -259,7 +259,7 @@ services: test: echo srvr | nc zookeeper $${DATAHUB_ZK_PORT:-2181} timeout: 5s hostname: zookeeper - image: confluentinc/cp-zookeeper:7.4.0 + image: ${DATAHUB_CONFLUENT_ZOOKEEPER_IMAGE:-confluentinc/cp-zookeeper}:${DATAHUB_CONFLUENT_VERSION:-7.4.0} ports: - ${DATAHUB_MAPPED_ZK_PORT:-2181}:2181 volumes: diff --git a/docker/quickstart/docker-compose-without-neo4j.quickstart.yml b/docker/quickstart/docker-compose-without-neo4j.quickstart.yml index d2c2be7e8948d2..3fa13a9e56b421 100644 --- a/docker/quickstart/docker-compose-without-neo4j.quickstart.yml +++ b/docker/quickstart/docker-compose-without-neo4j.quickstart.yml @@ -24,7 +24,7 @@ services: test: nc -z broker $${DATAHUB_KAFKA_BROKER_PORT:-9092} timeout: 5s hostname: broker - image: confluentinc/cp-kafka:7.4.0 + image: ${DATAHUB_CONFLUENT_KAFKA_IMAGE:-confluentinc/cp-kafka}:${DATAHUB_CONFLUENT_VERSION:-7.4.0} ports: - ${DATAHUB_MAPPED_KAFKA_BROKER_PORT:-9092}:9092 volumes: @@ -245,7 +245,7 @@ services: test: nc -z schema-registry ${DATAHUB_SCHEMA_REGISTRY_PORT:-8081} timeout: 5s hostname: schema-registry - image: confluentinc/cp-schema-registry:7.4.0 + image: ${DATAHUB_CONFLUENT_SCHEMA_REGISTRY_IMAGE:-confluentinc/cp-schema-registry}:${DATAHUB_CONFLUENT_VERSION:-7.4.0} ports: - ${DATAHUB_MAPPED_SCHEMA_REGISTRY_PORT:-8081}:8081 zookeeper: @@ -259,7 +259,7 @@ services: test: echo srvr | nc zookeeper $${DATAHUB_ZK_PORT:-2181} timeout: 5s hostname: zookeeper - image: confluentinc/cp-zookeeper:7.4.0 + image: ${DATAHUB_CONFLUENT_ZOOKEEPER_IMAGE:-confluentinc/cp-zookeeper}:${DATAHUB_CONFLUENT_VERSION:-7.4.0} ports: - ${DATAHUB_MAPPED_ZK_PORT:-2181}:2181 volumes: diff --git a/docker/quickstart/docker-compose.quickstart.yml b/docker/quickstart/docker-compose.quickstart.yml index dfe3c5f4f905a6..c63b6d1d61b030 100644 --- a/docker/quickstart/docker-compose.quickstart.yml +++ b/docker/quickstart/docker-compose.quickstart.yml @@ -24,7 +24,7 @@ services: test: nc -z broker $${DATAHUB_KAFKA_BROKER_PORT:-9092} timeout: 5s hostname: broker - image: confluentinc/cp-kafka:7.4.0 + image: ${DATAHUB_CONFLUENT_KAFKA_IMAGE:-confluentinc/cp-kafka}:${DATAHUB_CONFLUENT_VERSION:-7.4.0} ports: - ${DATAHUB_MAPPED_KAFKA_BROKER_PORT:-9092}:9092 volumes: @@ -271,7 +271,7 @@ services: test: nc -z schema-registry ${DATAHUB_SCHEMA_REGISTRY_PORT:-8081} timeout: 5s hostname: schema-registry - image: confluentinc/cp-schema-registry:7.4.0 + image: ${DATAHUB_CONFLUENT_SCHEMA_REGISTRY_IMAGE:-confluentinc/cp-schema-registry}:${DATAHUB_CONFLUENT_VERSION:-7.4.0} ports: - ${DATAHUB_MAPPED_SCHEMA_REGISTRY_PORT:-8081}:8081 zookeeper: @@ -285,7 +285,7 @@ services: test: echo srvr | nc zookeeper $${DATAHUB_ZK_PORT:-2181} timeout: 5s hostname: zookeeper - image: confluentinc/cp-zookeeper:7.4.0 + image: ${DATAHUB_CONFLUENT_ZOOKEEPER_IMAGE:-confluentinc/cp-zookeeper}:${DATAHUB_CONFLUENT_VERSION:-7.4.0} ports: - ${DATAHUB_MAPPED_ZK_PORT:-2181}:2181 volumes: diff --git a/docs-website/docusaurus.config.js b/docs-website/docusaurus.config.js index 4d07b51547e7b0..c1cb51bfb1a80c 100644 --- a/docs-website/docusaurus.config.js +++ b/docs-website/docusaurus.config.js @@ -19,6 +19,11 @@ module.exports = { async: true, defer: true, }, + { + src: "/scripts/rb2b.js", + async: true, + defer: true, + } ], noIndex: isSaas, customFields: { diff --git a/docs-website/static/scripts/rb2b.js b/docs-website/static/scripts/rb2b.js new file mode 100644 index 00000000000000..684c981116bd99 --- /dev/null +++ b/docs-website/static/scripts/rb2b.js @@ -0,0 +1 @@ +!function () {var reb2b = window.reb2b = window.reb2b || [];if (reb2b.invoked) return;reb2b.invoked = true;reb2b.methods = ["identify", "collect"];reb2b.factory = function (method) {return function () {var args = Array.prototype.slice.call(arguments);args.unshift(method);reb2b.push(args);return reb2b;};};for (var i = 0; i < reb2b.methods.length; i++) {var key = reb2b.methods[i];reb2b[key] = reb2b.factory(key);}reb2b.load = function (key) {var script = document.createElement("script");script.type = "text/javascript";script.async = true;script.src = "https://s3-us-west-2.amazonaws.com/b2bjsstore/b/" + key + "/reb2b.js.gz";var first = document.getElementsByTagName("script")[0];first.parentNode.insertBefore(script, first);};reb2b.SNIPPET_VERSION = "1.0.1";reb2b.load("8XOE9GHYQ3OM");}(); \ No newline at end of file diff --git a/docs-website/vercel-setup.sh b/docs-website/vercel-setup.sh index 01a1ee65b34f01..4bb40eaddf4775 100755 --- a/docs-website/vercel-setup.sh +++ b/docs-website/vercel-setup.sh @@ -4,6 +4,10 @@ set -euxo pipefail ./metadata-ingestion/scripts/install_deps.sh +# Set up java version for gradle +yum install java-17-amazon-corretto -y +java --version + # Build python from source. # Amazon Linux 2 has Python 3.8, but it's version of OpenSSL is super old and hence it # doesn't work with the packages we use. As such, we have to build Python from source. @@ -11,8 +15,7 @@ set -euxo pipefail # for reuse. yum groupinstall "Development Tools" -y -yum erase openssl-devel -y -yum install openssl11 openssl11-devel libffi-devel bzip2-devel wget nodejs -y +yum install openssl openssl-devel libffi-devel bzip2-devel wget nodejs -y wget https://www.python.org/ftp/python/3.10.11/Python-3.10.11.tgz tar -xf Python-3.10.11.tgz @@ -29,6 +32,3 @@ rm "$py3" ln "$(which python3.10)" "$py3" python3 --version -# Set up java version for gradle -yum install java-17-amazon-corretto -java --version \ No newline at end of file diff --git a/docs/actions/actions/slack.md b/docs/actions/actions/slack.md index 9ff3ec74f51d0f..bdea1c479e8aa6 100644 --- a/docs/actions/actions/slack.md +++ b/docs/actions/actions/slack.md @@ -190,7 +190,7 @@ Similar to the quickstart scenario, there are no specific software installation If you are using the `datahub-actions` library directly from Python, or the `datahub-actions` cli directly, then you need to first install the `slack` action plugin in your Python virtualenv. ``` -pip install "datahub-actions[slack]" +pip install "acryl-datahub-actions[slack]" ``` Then run the action with a configuration file that you have modified to capture your credentials and configuration. diff --git a/docs/actions/actions/teams.md b/docs/actions/actions/teams.md index c61f472cf36fe0..f14cd951f95e82 100644 --- a/docs/actions/actions/teams.md +++ b/docs/actions/actions/teams.md @@ -95,7 +95,7 @@ Similar to the quickstart scenario, there are no specific software installation If you are using the `datahub-actions` library directly from Python, or the `datahub-actions` cli directly, then you need to first install the `teams` action plugin in your Python virtualenv. ``` -pip install "datahub-actions[teams]" +pip install "acryl-datahub-actions[teams]" ``` Then run the action with a configuration file that you have modified to capture your credentials and configuration. diff --git a/docs/advanced/mcp-mcl.md b/docs/advanced/mcp-mcl.md index 235c9a85ec8da1..9efb9b794954da 100644 --- a/docs/advanced/mcp-mcl.md +++ b/docs/advanced/mcp-mcl.md @@ -60,10 +60,14 @@ record MetadataChangeProposal { **/ systemMetadata: optional SystemMetadata + /** + * Headers - intended to mimic http headers + */ + headers: optional map[string, string] } ``` -Each proposal comprises of the following: +Each proposal is comprised of the following: 1. entityType @@ -82,12 +86,13 @@ Each proposal comprises of the following: Type of change you are proposing: one of - UPSERT: Insert if not exists, update otherwise - - CREATE: Insert if not exists, fail otherwise + - CREATE: Insert aspect if not exists, fail otherwise + - CREATE_ENTITY: Insert if entity does not exist, fail otherwise - UPDATE: Update if exists, fail otherwise - DELETE: Delete - PATCH: Patch the aspect instead of doing a full replace - Only UPSERT, CREATE, DELETE, PATCH are supported as of now. + Only UPSERT, CREATE, CREATE_ENTITY, DELETE, PATCH are supported as of now. 5. aspectName @@ -110,6 +115,10 @@ Each proposal comprises of the following: Extra metadata about the proposal like run_id or updated timestamp. +8. headers + + Optional headers which are meant to mimic http headers. These are currently used for implementing conditional write logic. + GMS processes the proposal and produces the Metadata Change Log, which looks like this. ```protobuf @@ -156,4 +165,44 @@ entities: keyAspect: datasetKey aspects: - datasetProfile -``` \ No newline at end of file +``` + +## Features + +### Conditional Writes + +Conditional write semantics use extra information contained in the MCP `headers` field to possibly avoid writing new aspects +if the conditions are not met. + +#### If-Version-Match + +Each time an aspect is updated a `version` is incremented to represent the change to the aspect. This `version` is stored and returned +in `SystemMetadata`. + +A writer can provide a header with the expected `version` when initiating the request. If the expected `version` does not +match the actual `version` stored in the database, the write will fail. This prevents overwriting an aspect that has +been modified by another process. + +Note: If the aspect doesn't exist yet, then the `version` is `-1`. A writer can use this `version` to only create +an aspect if it doesn't. Also see _Change Types: [`CREATE`, `CREATE_ENTITY`]_ section below. + +#### If-Modified-Since / If-Unmodified-Since + +A writer may also specify time-based conditions using http header semantics. Similar to version based conditional writes +this method can be used to prevent the write if the target aspect was modified after a reading the aspect. Per the +http specification dates must comply with ISO-8601 standard. + +`If-Unmodified-Since`: +A writer can specify that the aspect must NOT have been modified after a specific time, following [If-Unmodified-Since](https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/If-Unmodified-Since) http headers. + +`If-Modified-Since` +A writer can specify that the aspect must have been modified after a specific time, following [If-Modified-Since](https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/If-Modified-Since) http headers. + +#### Change Types: [`CREATE`, `CREATE_ENTITY`] + +Another form of conditional writes which considers the existence of an aspect or entity uses the following Change Types. + +`CREATE` - Create the aspect if it doesn't already exist. + +`CREATE_ENTITY` - Create the aspect if no aspects exist for the entity. + diff --git a/docs/advanced/patch.md b/docs/advanced/patch.md index 21c28941c265a3..601d0556593136 100644 --- a/docs/advanced/patch.md +++ b/docs/advanced/patch.md @@ -62,3 +62,114 @@ Here are a few illustrative examples using the Python Patch builders: + +## How Patch works + +To understand how patching works, it's important to understand a bit about our [models](../what/aspect.md). Entities are comprised of Aspects +which can be reasoned about as JSON representations of the object models. To be able to patch these we utilize [JsonPatch](https://jsonpatch.com/). The components of a JSON Patch are the path, operation, and value. + +### Path + +The JSON path refers to a value within the schema. This can be a single field or can be an entire object reference depending on what the path is. +For our patches we are primarily targeting single fields or even single array elements within a field. To be able to target array elements by id, we go through a translation process +of the schema to transform arrays into maps. This allows a path to reference a particular array element by key rather than by index, for example a specific tag urn being added to a dataset. +This is important to note that for some fields in our schema that are arrays which do not necessarily restrict uniqueness, this puts a uniqueness constraint on the key. +The key for objects stored in arrays is determined manually by examining the schema and a long term goal is to make these keys annotation driven to reduce the amount of code needed to support +additional aspects to be patched. There is a generic patch endpoint, but it requires any array field keys to be specified at request time, putting a lot of burden on the API user. + +#### Examples + +A patch path for targeting an upstream dataset: + +`/upstreams/urn:li:dataset:(urn:li:dataPlatform:hive,fct_users_created_upstream,PROD)` + +Breakdown: +* `/upstreams` -> References the upstreams field of the UpstreamLineage aspect, this is an array of Upstream objects where the key is the Urn +* `/urn:...` -> The dataset to be targeted by the operation + + +A patch path for targeting a fine grained lineage upstream: + +`/fineGrainedLineages/TRANSFORM/urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:hive,fct_users_created,PROD),foo)/urn:li:query:queryId/urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:hive,fct_users_created_upstream,PROD),bar)` + +Breakdown: +* `/fineGrainedLineages` -> References the fineGrainedLineages field on an UpstreamLineage, this is an array of FineGrainedLineage objects keyed on transformOperation, downstream urn, and query urn +* `/TRANSFORM` -> transformOperation, one of the fields determining the key for a fineGrainedLineage +* `/urn:li:schemaField:...` -> The downstream schemaField referenced in this schema, part of the key for a fineGrainedLineage +* `/urn:li:query:...` -> The query urn this relationship was derived from, part of the key for a fineGrainedLineage +* `/urn:li:schemaField:` -> The upstream urn that is being targeted by this patch operation + +This showcases that in some cases the key for objects is simple, in others in can be complex to determine, but for our fully supported use cases we have +SDK support on both the Java and Python side that will generate these patches for you as long as you supply the required method parameters. +Path is generally the most complicated portion of a patch to reason about as it requires intimate knowledge of the schema and models. + +### Operation + +Operation is a limited enum of a few supported types pulled directly from the JSON Patch spec. DataHub only supports `ADD` and `REMOVE` of these options +as the other patch operations do not currently have a use case within our system. + +#### Add + +Add is a bit of a misnomer for the JSON Patch spec, it is not an explicit add but an upsert/replace. If the path specified does not exist, it will be created, +but if the path already exists the value will be replaced. Patch operations apply at a path level so it is possible to do full replaces of arrays or objects in the schema +using adds, but generally the most useful use case for patch is to add elements to arrays without affecting the other elements as full upserts are supported by standard ingestion. + +#### Remove + +Remove operations require the path specified to be present, or an error will be thrown, otherwise they operate as one would expect. The specified path will be removed from the aspect. + + +### Value + +Value is the actual information that will be stored at a path. If the path references an object then this will include the JSON key value pairs for that object. + +#### Examples + +An example UpstreamLineage object value: + +```json +{ + "auditStamp": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:s3,my-bucket/my-folder/my-file.txt,PROD)", + "type": "TRANSFORMED" +} +``` + +For the previous path example (`/upstreams/urn:li:dataset:(urn:li:dataPlatform:hive,fct_users_created_upstream,PROD)`), this object would represent the UpstreamLineage object for that path. +This specifies the required fields to properly represent that object. Note: by modifying this path, you could reference a single field within the UpstreamLineage object itself, like so: + +```json +{ + "path": "/upstreams/urn:li:dataset:(urn:li:dataPlatform:hive,fct_users_created_upstream,PROD)/type", + "op": "ADD", + "value": "VIEW" +} +``` + +### Implementation details + +#### Template Classes + +Template classes are the mechanism that maps fields to their corresponding JSON paths. Since DataMaps are not true JSON, first we convert a RecordTemplate to a JSON String, +perform any additional process to map array fields to their keys, apply the patch, and then convert the JSON object back to a RecordTemplate to work with the rest of the application. + +The template classes we currently support can be found in the `entity-registry` module. They are split up by aspect, with the GenericTemplate applying to any non-directly supported aspects. +The GenericTemplate allows for use cases that we have not gotten around to directly support yet, but puts more burden on the user to generate patches correctly. + +The template classes are utilized in `EntityServiceImpl` where a MCP is determined to be either a patch or standard upsert which then routes through to the stored templates registered on the EntityRegistry. +The core logical flow each Template runs through is set up in the `Template` interface, with some more specific logic in the lower level interfaces for constructing/deconstructing array field keys. +Most of the complexity around these classes is knowledge of schema and JSON path traversals. + +##### ArrayMergingTemplate & CompoundKeyTemplate + +`ArrayMergingTemplate` is utilized for any aspect which has array fields and may either be used directly or use `CompoundKeyTemplate`. `ArrayMergingTemplate` is the simpler one that can only be used directly for +single value keys. `CompoundKeyTemplate` allows for support of multi-field keys. For more complex examples like FineGrainedLineage, further logic is needed to construct a key as it is not generalizable to other aspects, see `UpstreamLineageTemplate` for full special case implementation. + +#### PatchBuilders + +There are patch builder SDK classes for constructing patches in both Java and Python. The Java patch builders all extend `AbstractMultiFieldPatchBuilder` which sets up the +base functionality for patch builder subtypes. Each implementation of this abstract class is targeted at a particular aspect and contains specific field based update methods +for the most common use cases. On the Python side patch builders live in the `src/specific/` directory and are organized by entity type. \ No newline at end of file diff --git a/docs/api/openapi/openapi-usage-guide.md b/docs/api/openapi/openapi-usage-guide.md index f33c20c91dacb7..59a331b724cfa7 100644 --- a/docs/api/openapi/openapi-usage-guide.md +++ b/docs/api/openapi/openapi-usage-guide.md @@ -119,7 +119,7 @@ curl --location --request POST 'localhost:8080/openapi/entities/v1/' \ The second POST example will write the update ONLY if the entity doesn't exist. If the entity does exist the command will return an error instead of overwriting the entity. -In this example we've added an additional URL parameter `createEntityIfNotExists=true` +In this example we've added a URL parameter `createEntityIfNotExists=true` ```shell curl --location --request POST 'localhost:8080/openapi/entities/v1/?createEntityIfNotExists=true' \ @@ -582,3 +582,232 @@ public class Main { } } ``` + +## OpenAPI v3 Features + +### Conditional Writes + +All the create/POST endpoints for aspects support `headers` in the POST body to support batch APIs. See the docs in the +[MetadataChangeProposal](../../advanced/mcp-mcl.md) section for the use of these headers to support conditional writes semantics. + +### Batch Get + +Batch get endpoints in the form of `/v3/entity/{entityName}/batchGet` exist for all entities. This endpoint allows +fetching entity and aspects in bulk. In combination with the `If-Version-Match` header it can also retrieve +a specific version of the aspects, however it defaults to the latest aspect version. Currently, this interface is limited +to returning a single version for each entity/aspect however different versions can be specified across entities. + +A few example queries are as follows: + +Example Request: + +Fetch the latest aspects for the given URNs with the url parameter `systemMetadata=true` in order to view the current +versions of the aspects. + +```json +[ + { + "urn": "urn:li:dataset:(urn:li:dataPlatform:hive,fct_users_deleted,PROD)", + "globalTags": {}, + "datasetProperties": {} + }, + { + "urn": "urn:li:dataset:(urn:li:dataPlatform:hive,fct_users_created,PROD)", + "globalTags": {}, + "datasetProperties": {} + } +] +``` + +Example Response: + +Notice that `systemMetadata` contains `"version": "1"` for each of the aspects that exist in the system. + +```json +[ + { + "urn": "urn:li:dataset:(urn:li:dataPlatform:hive,fct_users_deleted,PROD)", + "datasetProperties": { + "value": { + "description": "table containing all the users deleted on a single day", + "customProperties": { + "encoding": "utf-8" + }, + "tags": [] + }, + "systemMetadata": { + "properties": { + "clientVersion": "1!0.0.0.dev0", + "clientId": "acryl-datahub" + }, + "version": "1", + "lastObserved": 1720781548776, + "lastRunId": "file-2024_07_12-05_52_28", + "runId": "file-2024_07_12-05_52_28" + } + } + }, + { + "urn": "urn:li:dataset:(urn:li:dataPlatform:hive,fct_users_created,PROD)", + "datasetProperties": { + "value": { + "description": "table containing all the users created on a single day", + "customProperties": { + "encoding": "utf-8" + }, + "tags": [] + }, + "systemMetadata": { + "properties": { + "clientVersion": "1!0.0.0.dev0", + "clientId": "acryl-datahub" + }, + "version": "1", + "lastObserved": 1720781548773, + "lastRunId": "file-2024_07_12-05_52_28", + "runId": "file-2024_07_12-05_52_28" + } + }, + "globalTags": { + "value": { + "tags": [ + { + "tag": "urn:li:tag:NeedsDocumentation" + } + ] + }, + "systemMetadata": { + "properties": { + "appSource": "ui" + }, + "version": "1", + "lastObserved": 0, + "lastRunId": "no-run-id-provided", + "runId": "no-run-id-provided" + } + } + } +] +``` + +Next let's mutate `globalTags` for the second URN by adding a new tag. This will increment the version of +the `globalTags` aspect. The response will then look at like the following, notice the incremented +`"version": "2"` in `systemMetadata` for the `globalTags` aspect. Also notice that there are now 2 tags present, unlike +previously where only `urn:li:tag:NeedsDocumentation` was present. + +```json +[ + { + "urn": "urn:li:dataset:(urn:li:dataPlatform:hive,fct_users_deleted,PROD)", + "datasetProperties": { + "value": { + "description": "table containing all the users deleted on a single day", + "customProperties": { + "encoding": "utf-8" + }, + "tags": [] + }, + "systemMetadata": { + "properties": { + "clientVersion": "1!0.0.0.dev0", + "clientId": "acryl-datahub" + }, + "version": "1", + "lastObserved": 1720781548776, + "lastRunId": "file-2024_07_12-05_52_28", + "runId": "file-2024_07_12-05_52_28" + } + } + }, + { + "urn": "urn:li:dataset:(urn:li:dataPlatform:hive,fct_users_created,PROD)", + "datasetProperties": { + "value": { + "description": "table containing all the users created on a single day", + "customProperties": { + "encoding": "utf-8" + }, + "tags": [] + }, + "systemMetadata": { + "properties": { + "clientVersion": "1!0.0.0.dev0", + "clientId": "acryl-datahub" + }, + "version": "1", + "lastObserved": 1720781548773, + "lastRunId": "file-2024_07_12-05_52_28", + "runId": "file-2024_07_12-05_52_28" + } + }, + "globalTags": { + "value": { + "tags": [ + { + "tag": "urn:li:tag:NeedsDocumentation" + }, + { + "tag": "urn:li:tag:Legacy" + } + ] + }, + "systemMetadata": { + "properties": { + "appSource": "ui" + }, + "version": "2", + "lastObserved": 0, + "lastRunId": "no-run-id-provided", + "runId": "no-run-id-provided" + } + } + } +] +``` + +Next, we'll retrieve the previous version of the `globalTags` for the one aspect with a version 2 with the following query. +We can do this by populating the `headers` map with `If-Version-Match` to retrieve the previous version 1. + +Example Request: +```json +[ + { + "urn": "urn:li:dataset:(urn:li:dataPlatform:hive,fct_users_created,PROD)", + "globalTags": { + "headers": { + "If-Version-Match": "1" + } + } + } +] +``` + +Example Response: + +The previous version `1` of the `globalTags` aspect is returned as expected with only the single tag. + +```json +[ + { + "urn": "urn:li:dataset:(urn:li:dataPlatform:hive,fct_users_created,PROD)", + "globalTags": { + "value": { + "tags": [ + { + "tag": "urn:li:tag:NeedsDocumentation" + } + ] + }, + "systemMetadata": { + "properties": { + "appSource": "ui" + }, + "version": "1", + "lastObserved": 0, + "lastRunId": "no-run-id-provided", + "runId": "no-run-id-provided" + } + } + } +] +``` diff --git a/docs/how/updating-datahub.md b/docs/how/updating-datahub.md index 2bafcdcaa5f89f..ef9990ca3804eb 100644 --- a/docs/how/updating-datahub.md +++ b/docs/how/updating-datahub.md @@ -22,6 +22,38 @@ This file documents any backwards-incompatible changes in DataHub and assists pe - Protobuf CLI will no longer create binary encoded protoc custom properties. Flag added `-protocProp` in case this behavior is required. +- #10868 - OpenAPI V3 - Creation of aspects will need to be wrapped within a `value` key and the API is now symmetric with respect to input and outputs. + +Example Global Tags Aspect: + +Previous: +```json +{ + "tags": [ + { + "tag": "string", + "context": "string" + } + ] +} +``` + +New (optional fields `systemMetadata` and `headers`): + +```json +{ + "value": { + "tags": [ + { + "tag": "string", + "context": "string" + } + ] + }, + "systemMetadata": {}, + "headers": {} +} +``` ### Potential Downtime @@ -32,6 +64,7 @@ This file documents any backwards-incompatible changes in DataHub and assists pe No loss of functionality expected unless explicitly mentioned in Breaking Changes. ### Other Notable Changes +- #10498 - Tableau ingestion can now be configured to ingest multiple sites at once and add the sites as containers. The feature is currently only available for Tableau Server. ## 0.13.3 diff --git a/docs/posts.md b/docs/posts.md index c44125bbd00179..107ea9020031b2 100644 --- a/docs/posts.md +++ b/docs/posts.md @@ -13,9 +13,33 @@ DataHub allows users to make Posts that can be displayed on the app. Currently, Anyone can view Posts on the home page. To create Posts, a user must either have the **Create Global Announcements** Privilege, or possess the **Admin** DataHub Role. -## Using Posts +## Creating Posts -To create a post, users must use the [createPost](../graphql/mutations.md#createPost) GraphQL mutation. There is currently no way to create posts using the UI, though this will come in the future. +### Create Posts Using the UI +To create a post, first navigate to the Settings tab in the top-right menu of DataHub. +Once you're on the Settings page, click 'Home Page Posts'. +To create a new Post, click '+ New Post'. +

+ Creating a new post +

+DataHub currently supports two types of Post content. Posts can either be of type **Text** or **Link**. Click on "Post Type" to switch between these types. +

+ Selecting text post type +

+

+ Selecting link post type +

+If you choose the text type, enter the title and description as prompted; if you choose the link type, enter the title and the URL of the link and the address of the image as prompted. + +Click 'Create' to complete. +

+ Viewing posts +

+ +### Create Posts Using the GraphQL + +To create a post via API, you can call the [createPost](../graphql/mutations.md#createPost) GraphQL mutation. +To create a post via API, you can call the [createPost](../graphql/mutations.md#createPost) GraphQL mutation. There is only one type of Post that can be currently made, and that is a **Home Page Announcement**. This may be extended in the future to other surfaces. diff --git a/entity-registry/src/main/java/com/linkedin/metadata/aspect/AspectRetriever.java b/entity-registry/src/main/java/com/linkedin/metadata/aspect/AspectRetriever.java index ad47562662fd6e..e34df7db481189 100644 --- a/entity-registry/src/main/java/com/linkedin/metadata/aspect/AspectRetriever.java +++ b/entity-registry/src/main/java/com/linkedin/metadata/aspect/AspectRetriever.java @@ -1,5 +1,6 @@ package com.linkedin.metadata.aspect; +import com.google.common.collect.ImmutableMap; import com.google.common.collect.ImmutableSet; import com.linkedin.common.urn.Urn; import com.linkedin.entity.Aspect; @@ -31,6 +32,23 @@ default Aspect getLatestAspectObject(@Nonnull final Urn urn, @Nonnull final Stri @Nonnull Map> getLatestAspectObjects(Set urns, Set aspectNames); + @Nullable + default SystemAspect getLatestSystemAspect( + @Nonnull final Urn urn, @Nonnull final String aspectName) { + return getLatestSystemAspects(ImmutableMap.of(urn, ImmutableSet.of(aspectName))) + .getOrDefault(urn, Collections.emptyMap()) + .get(aspectName); + } + + /** + * Returns for each URN, the map of aspectName to Aspect + * + * @param urnAspectNames urns and aspect names to fetch + * @return urn to aspect name and values + */ + @Nonnull + Map> getLatestSystemAspects(Map> urnAspectNames); + @Nonnull default Map entityExists(Set urns) { Set keyAspectNames = diff --git a/entity-registry/src/main/java/com/linkedin/metadata/aspect/EnvelopedSystemAspect.java b/entity-registry/src/main/java/com/linkedin/metadata/aspect/EnvelopedSystemAspect.java new file mode 100644 index 00000000000000..b4b8e095a38ac2 --- /dev/null +++ b/entity-registry/src/main/java/com/linkedin/metadata/aspect/EnvelopedSystemAspect.java @@ -0,0 +1,62 @@ +package com.linkedin.metadata.aspect; + +import com.linkedin.common.urn.Urn; +import com.linkedin.data.template.RecordTemplate; +import com.linkedin.entity.EnvelopedAspect; +import com.linkedin.metadata.models.AspectSpec; +import com.linkedin.metadata.models.EntitySpec; +import com.linkedin.mxe.SystemMetadata; +import java.sql.Timestamp; +import java.time.Instant; +import javax.annotation.Nonnull; +import javax.annotation.Nullable; +import lombok.Getter; + +/** Delegate to restli class */ +public class EnvelopedSystemAspect implements SystemAspect { + + public static SystemAspect of( + @Nonnull Urn urn, @Nonnull EnvelopedAspect envelopedAspect, @Nonnull EntitySpec entitySpec) { + return new EnvelopedSystemAspect(urn, envelopedAspect, entitySpec); + } + + @Getter @Nonnull private final Urn urn; + @Nonnull private final EnvelopedAspect envelopedAspect; + @Getter @Nonnull private final EntitySpec entitySpec; + @Getter @Nonnull private final AspectSpec aspectSpec; + + public EnvelopedSystemAspect( + @Nonnull Urn urn, @Nonnull EnvelopedAspect envelopedAspect, @Nonnull EntitySpec entitySpec) { + this.urn = urn; + this.envelopedAspect = envelopedAspect; + this.entitySpec = entitySpec; + this.aspectSpec = this.entitySpec.getAspectSpec(envelopedAspect.getName()); + } + + @Nullable + @Override + public RecordTemplate getRecordTemplate() { + return envelopedAspect.getValue(); + } + + @Nullable + @Override + public SystemMetadata getSystemMetadata() { + return envelopedAspect.getSystemMetadata(); + } + + @Override + public long getVersion() { + return envelopedAspect.getVersion(); + } + + @Override + public Timestamp getCreatedOn() { + return Timestamp.from(Instant.ofEpochMilli(envelopedAspect.getCreated().getTime())); + } + + @Override + public String getCreatedBy() { + return envelopedAspect.getCreated().getActor().toString(); + } +} diff --git a/entity-registry/src/main/java/com/linkedin/metadata/aspect/SystemAspect.java b/entity-registry/src/main/java/com/linkedin/metadata/aspect/SystemAspect.java index e83414c8c23a85..4c9bf3d4fdbc78 100644 --- a/entity-registry/src/main/java/com/linkedin/metadata/aspect/SystemAspect.java +++ b/entity-registry/src/main/java/com/linkedin/metadata/aspect/SystemAspect.java @@ -2,7 +2,9 @@ import com.linkedin.common.AuditStamp; import com.linkedin.common.urn.UrnUtils; +import com.linkedin.mxe.SystemMetadata; import java.sql.Timestamp; +import java.util.Optional; import javax.annotation.Nonnull; /** @@ -22,4 +24,16 @@ default AuditStamp getAuditStamp() { .setActor(UrnUtils.getUrn(getCreatedBy())) .setTime(getCreatedOn().getTime()); } + + /** + * If aspect version exists in system metadata, return it + * + * @return version of the aspect + */ + default Optional getSystemMetadataVersion() { + return Optional.ofNullable(getSystemMetadata()) + .filter(SystemMetadata::hasVersion) + .map(SystemMetadata::getVersion) + .map(Long::parseLong); + } } diff --git a/entity-registry/src/main/java/com/linkedin/metadata/aspect/batch/MCPItem.java b/entity-registry/src/main/java/com/linkedin/metadata/aspect/batch/MCPItem.java index 96b2752516e604..afe11f56cce507 100644 --- a/entity-registry/src/main/java/com/linkedin/metadata/aspect/batch/MCPItem.java +++ b/entity-registry/src/main/java/com/linkedin/metadata/aspect/batch/MCPItem.java @@ -5,18 +5,42 @@ import com.linkedin.metadata.aspect.patch.template.AspectTemplateEngine; import com.linkedin.metadata.models.AspectSpec; import com.linkedin.mxe.MetadataChangeProposal; +import java.util.Collections; +import java.util.Map; +import java.util.Optional; import java.util.Set; +import javax.annotation.Nonnull; import javax.annotation.Nullable; /** Represents a proposal to write to the primary data store which may be represented by an MCP */ public interface MCPItem extends BatchItem { Set CHANGE_TYPES = - ImmutableSet.of(ChangeType.UPSERT, ChangeType.CREATE, ChangeType.CREATE_ENTITY); + ImmutableSet.of( + ChangeType.UPSERT, ChangeType.UPDATE, ChangeType.CREATE, ChangeType.CREATE_ENTITY); @Nullable MetadataChangeProposal getMetadataChangeProposal(); + @Nonnull + default Map getHeaders() { + if (getMetadataChangeProposal() != null && getMetadataChangeProposal().getHeaders() != null) { + return getMetadataChangeProposal().getHeaders(); + } + return Collections.emptyMap(); + } + + default boolean hasHeader(@Nonnull String headerName) { + return getHeaders().keySet().stream().anyMatch(hdr -> hdr.equalsIgnoreCase(headerName)); + } + + default Optional getHeader(@Nonnull String headerName) { + return getHeaders().entrySet().stream() + .filter(entry -> entry.getKey().equalsIgnoreCase(headerName)) + .map(Map.Entry::getValue) + .findAny(); + } + /** * Validates that a change type is valid for the given aspect * diff --git a/entity-registry/src/main/java/com/linkedin/metadata/aspect/patch/builder/FormInfoPatchBuilder.java b/entity-registry/src/main/java/com/linkedin/metadata/aspect/patch/builder/FormInfoPatchBuilder.java new file mode 100644 index 00000000000000..13d9c07b04aeef --- /dev/null +++ b/entity-registry/src/main/java/com/linkedin/metadata/aspect/patch/builder/FormInfoPatchBuilder.java @@ -0,0 +1,154 @@ +package com.linkedin.metadata.aspect.patch.builder; + +import static com.fasterxml.jackson.databind.node.JsonNodeFactory.instance; +import static com.linkedin.metadata.Constants.*; + +import com.datahub.util.RecordUtils; +import com.fasterxml.jackson.core.JsonProcessingException; +import com.fasterxml.jackson.databind.ObjectMapper; +import com.fasterxml.jackson.databind.node.ObjectNode; +import com.linkedin.form.FormPrompt; +import com.linkedin.form.FormType; +import com.linkedin.metadata.aspect.patch.PatchOperationType; +import java.util.List; +import javax.annotation.Nonnull; +import javax.annotation.Nullable; +import org.apache.commons.lang3.tuple.ImmutableTriple; + +public class FormInfoPatchBuilder extends AbstractMultiFieldPatchBuilder { + + public static final String PATH_DELIM = "/"; + public static final String NAME_FIELD = "name"; + public static final String DESCRIPTION_FIELD = "description"; + public static final String TYPE_FIELD = "type"; + public static final String PROMPTS_FIELD = "prompts"; + public static final String ACTORS_FIELD = "actors"; + public static final String OWNERS_FIELD = "owners"; + public static final String USERS_FIELD = "users"; + public static final String GROUPS_FIELD = "groups"; + + public FormInfoPatchBuilder setName(@Nonnull String name) { + this.pathValues.add( + ImmutableTriple.of( + PatchOperationType.ADD.getValue(), PATH_DELIM + NAME_FIELD, instance.textNode(name))); + return this; + } + + public FormInfoPatchBuilder setDescription(@Nullable String description) { + if (description == null) { + this.pathValues.add( + ImmutableTriple.of( + PatchOperationType.REMOVE.getValue(), PATH_DELIM + DESCRIPTION_FIELD, null)); + } else { + this.pathValues.add( + ImmutableTriple.of( + PatchOperationType.ADD.getValue(), + PATH_DELIM + DESCRIPTION_FIELD, + instance.textNode(description))); + } + return this; + } + + public FormInfoPatchBuilder setType(@Nonnull FormType formType) { + this.pathValues.add( + ImmutableTriple.of( + PatchOperationType.ADD.getValue(), + PATH_DELIM + TYPE_FIELD, + instance.textNode(formType.toString()))); + return this; + } + + public FormInfoPatchBuilder addPrompt(@Nonnull FormPrompt prompt) { + try { + ObjectNode promptNode = + (ObjectNode) new ObjectMapper().readTree(RecordUtils.toJsonString(prompt)); + pathValues.add( + ImmutableTriple.of( + PatchOperationType.ADD.getValue(), + PATH_DELIM + PROMPTS_FIELD + PATH_DELIM + prompt.getId(), + promptNode)); + return this; + } catch (JsonProcessingException e) { + throw new IllegalArgumentException( + "Failed to add prompt, failed to parse provided aspect json.", e); + } + } + + public FormInfoPatchBuilder addPrompts(@Nonnull List prompts) { + try { + prompts.forEach(this::addPrompt); + return this; + } catch (Exception e) { + throw new IllegalArgumentException("Failed to add prompts.", e); + } + } + + public FormInfoPatchBuilder removePrompt(@Nonnull String promptId) { + this.pathValues.add( + ImmutableTriple.of( + PatchOperationType.REMOVE.getValue(), + PATH_DELIM + PROMPTS_FIELD + PATH_DELIM + promptId, + null)); + return this; + } + + public FormInfoPatchBuilder removePrompts(@Nonnull List promptIds) { + promptIds.forEach(this::removePrompt); + return this; + } + + public FormInfoPatchBuilder setOwnershipForm(boolean isOwnershipForm) { + this.pathValues.add( + ImmutableTriple.of( + PatchOperationType.ADD.getValue(), + PATH_DELIM + ACTORS_FIELD + PATH_DELIM + OWNERS_FIELD, + instance.booleanNode(isOwnershipForm))); + return this; + } + + public FormInfoPatchBuilder addAssignedUser(@Nonnull String userUrn) { + this.pathValues.add( + ImmutableTriple.of( + PatchOperationType.ADD.getValue(), + PATH_DELIM + ACTORS_FIELD + PATH_DELIM + USERS_FIELD + PATH_DELIM + userUrn, + instance.textNode(userUrn))); + return this; + } + + public FormInfoPatchBuilder removeAssignedUser(@Nonnull String userUrn) { + this.pathValues.add( + ImmutableTriple.of( + PatchOperationType.REMOVE.getValue(), + PATH_DELIM + ACTORS_FIELD + PATH_DELIM + USERS_FIELD + PATH_DELIM + userUrn, + instance.textNode(userUrn))); + return this; + } + + public FormInfoPatchBuilder addAssignedGroup(@Nonnull String groupUrn) { + this.pathValues.add( + ImmutableTriple.of( + PatchOperationType.ADD.getValue(), + PATH_DELIM + ACTORS_FIELD + PATH_DELIM + GROUPS_FIELD + PATH_DELIM + groupUrn, + instance.textNode(groupUrn))); + return this; + } + + public FormInfoPatchBuilder removeAssignedGroup(@Nonnull String groupUrn) { + this.pathValues.add( + ImmutableTriple.of( + PatchOperationType.REMOVE.getValue(), + PATH_DELIM + ACTORS_FIELD + PATH_DELIM + GROUPS_FIELD + PATH_DELIM + groupUrn, + instance.textNode(groupUrn))); + return this; + } + + @Override + protected String getAspectName() { + return FORM_INFO_ASPECT_NAME; + } + + @Override + protected String getEntityType() { + return FORM_ENTITY_NAME; + } +} diff --git a/entity-registry/src/main/java/com/linkedin/metadata/aspect/patch/builder/StructuredPropertiesPatchBuilder.java b/entity-registry/src/main/java/com/linkedin/metadata/aspect/patch/builder/StructuredPropertiesPatchBuilder.java index fab81e0af5bf51..b568df5054aaec 100644 --- a/entity-registry/src/main/java/com/linkedin/metadata/aspect/patch/builder/StructuredPropertiesPatchBuilder.java +++ b/entity-registry/src/main/java/com/linkedin/metadata/aspect/patch/builder/StructuredPropertiesPatchBuilder.java @@ -3,12 +3,11 @@ import static com.fasterxml.jackson.databind.node.JsonNodeFactory.instance; import static com.linkedin.metadata.Constants.STRUCTURED_PROPERTIES_ASPECT_NAME; +import com.fasterxml.jackson.databind.node.ArrayNode; import com.fasterxml.jackson.databind.node.ObjectNode; -import com.fasterxml.jackson.databind.node.ValueNode; import com.linkedin.common.urn.Urn; import com.linkedin.metadata.aspect.patch.PatchOperationType; import java.util.List; -import java.util.stream.Collectors; import javax.annotation.Nonnull; import javax.annotation.Nullable; import org.apache.commons.lang3.tuple.ImmutableTriple; @@ -17,8 +16,8 @@ public class StructuredPropertiesPatchBuilder extends AbstractMultiFieldPatchBuilder { private static final String BASE_PATH = "/properties"; - private static final String URN_KEY = "urn"; - private static final String CONTEXT_KEY = "context"; + private static final String URN_KEY = "propertyUrn"; + private static final String VALUES_KEY = "values"; /** * Remove a property from a structured properties aspect. If the property doesn't exist, this is a @@ -34,63 +33,77 @@ public StructuredPropertiesPatchBuilder removeProperty(Urn propertyUrn) { return this; } - public StructuredPropertiesPatchBuilder setProperty( - @Nonnull Urn propertyUrn, @Nullable List propertyValues) { - propertyValues.stream() - .map( - propertyValue -> - propertyValue instanceof Integer - ? this.setProperty(propertyUrn, (Integer) propertyValue) - : this.setProperty(propertyUrn, String.valueOf(propertyValue))) - .collect(Collectors.toList()); - return this; - } - - public StructuredPropertiesPatchBuilder setProperty( + public StructuredPropertiesPatchBuilder setNumberProperty( @Nonnull Urn propertyUrn, @Nullable Integer propertyValue) { - ValueNode propertyValueNode = instance.numberNode((Integer) propertyValue); - ObjectNode value = instance.objectNode(); - value.put(URN_KEY, propertyUrn.toString()); + ObjectNode newProperty = instance.objectNode(); + newProperty.put(URN_KEY, propertyUrn.toString()); + + ArrayNode valuesNode = instance.arrayNode(); + ObjectNode propertyValueNode = instance.objectNode(); + propertyValueNode.set("double", instance.numberNode(propertyValue)); + valuesNode.add(propertyValueNode); + newProperty.set(VALUES_KEY, valuesNode); + pathValues.add( ImmutableTriple.of( - PatchOperationType.ADD.getValue(), BASE_PATH + "/" + propertyUrn, propertyValueNode)); + PatchOperationType.ADD.getValue(), BASE_PATH + "/" + propertyUrn, newProperty)); return this; } - public StructuredPropertiesPatchBuilder setProperty( - @Nonnull Urn propertyUrn, @Nullable String propertyValue) { - ValueNode propertyValueNode = instance.textNode(String.valueOf(propertyValue)); - ObjectNode value = instance.objectNode(); - value.put(URN_KEY, propertyUrn.toString()); + public StructuredPropertiesPatchBuilder setNumberProperty( + @Nonnull Urn propertyUrn, @Nonnull List propertyValues) { + ObjectNode newProperty = instance.objectNode(); + newProperty.put(URN_KEY, propertyUrn.toString()); + + ArrayNode valuesNode = instance.arrayNode(); + propertyValues.forEach( + propertyValue -> { + ObjectNode propertyValueNode = instance.objectNode(); + propertyValueNode.set("double", instance.numberNode(propertyValue)); + valuesNode.add(propertyValueNode); + }); + newProperty.set(VALUES_KEY, valuesNode); + pathValues.add( ImmutableTriple.of( - PatchOperationType.ADD.getValue(), BASE_PATH + "/" + propertyUrn, propertyValueNode)); + PatchOperationType.ADD.getValue(), BASE_PATH + "/" + propertyUrn, newProperty)); return this; } - public StructuredPropertiesPatchBuilder addProperty( - @Nonnull Urn propertyUrn, @Nullable Integer propertyValue) { - ValueNode propertyValueNode = instance.numberNode((Integer) propertyValue); - ObjectNode value = instance.objectNode(); - value.put(URN_KEY, propertyUrn.toString()); + public StructuredPropertiesPatchBuilder setStringProperty( + @Nonnull Urn propertyUrn, @Nullable String propertyValue) { + ObjectNode newProperty = instance.objectNode(); + newProperty.put(URN_KEY, propertyUrn.toString()); + + ArrayNode valuesNode = instance.arrayNode(); + ObjectNode propertyValueNode = instance.objectNode(); + propertyValueNode.set("string", instance.textNode(propertyValue)); + valuesNode.add(propertyValueNode); + newProperty.set(VALUES_KEY, valuesNode); + pathValues.add( ImmutableTriple.of( - PatchOperationType.ADD.getValue(), - BASE_PATH + "/" + propertyUrn + "/" + String.valueOf(propertyValue), - propertyValueNode)); + PatchOperationType.ADD.getValue(), BASE_PATH + "/" + propertyUrn, newProperty)); return this; } - public StructuredPropertiesPatchBuilder addProperty( - @Nonnull Urn propertyUrn, @Nullable String propertyValue) { - ValueNode propertyValueNode = instance.textNode(String.valueOf(propertyValue)); - ObjectNode value = instance.objectNode(); - value.put(URN_KEY, propertyUrn.toString()); + public StructuredPropertiesPatchBuilder setStringProperty( + @Nonnull Urn propertyUrn, @Nonnull List propertyValues) { + ObjectNode newProperty = instance.objectNode(); + newProperty.put(URN_KEY, propertyUrn.toString()); + + ArrayNode valuesNode = instance.arrayNode(); + propertyValues.forEach( + propertyValue -> { + ObjectNode propertyValueNode = instance.objectNode(); + propertyValueNode.set("string", instance.textNode(propertyValue)); + valuesNode.add(propertyValueNode); + }); + newProperty.set(VALUES_KEY, valuesNode); + pathValues.add( ImmutableTriple.of( - PatchOperationType.ADD.getValue(), - BASE_PATH + "/" + propertyUrn + "/" + String.valueOf(propertyValue), - propertyValueNode)); + PatchOperationType.ADD.getValue(), BASE_PATH + "/" + propertyUrn, newProperty)); return this; } diff --git a/entity-registry/src/main/java/com/linkedin/metadata/aspect/patch/builder/StructuredPropertyDefinitionPatchBuilder.java b/entity-registry/src/main/java/com/linkedin/metadata/aspect/patch/builder/StructuredPropertyDefinitionPatchBuilder.java new file mode 100644 index 00000000000000..0811e2f52d003e --- /dev/null +++ b/entity-registry/src/main/java/com/linkedin/metadata/aspect/patch/builder/StructuredPropertyDefinitionPatchBuilder.java @@ -0,0 +1,146 @@ +package com.linkedin.metadata.aspect.patch.builder; + +import static com.fasterxml.jackson.databind.node.JsonNodeFactory.instance; +import static com.linkedin.metadata.Constants.*; + +import com.datahub.util.RecordUtils; +import com.fasterxml.jackson.core.JsonProcessingException; +import com.fasterxml.jackson.databind.ObjectMapper; +import com.fasterxml.jackson.databind.node.ArrayNode; +import com.fasterxml.jackson.databind.node.ObjectNode; +import com.linkedin.data.template.StringArrayMap; +import com.linkedin.metadata.aspect.patch.PatchOperationType; +import com.linkedin.structured.PropertyCardinality; +import com.linkedin.structured.PropertyValue; +import javax.annotation.Nonnull; +import javax.annotation.Nullable; +import org.apache.commons.lang3.tuple.ImmutableTriple; + +public class StructuredPropertyDefinitionPatchBuilder + extends AbstractMultiFieldPatchBuilder { + + public static final String PATH_DELIM = "/"; + public static final String QUALIFIED_NAME_FIELD = "qualifiedName"; + public static final String DISPLAY_NAME_FIELD = "displayName"; + public static final String VALUE_TYPE_FIELD = "valueType"; + public static final String TYPE_QUALIFIER_FIELD = "typeQualifier"; + public static final String ALLOWED_VALUES_FIELD = "allowedValues"; + public static final String CARDINALITY_FIELD = "cardinality"; + public static final String ENTITY_TYPES_FIELD = "entityTypes"; + public static final String DESCRIPTION_FIELD = "description"; + public static final String IMMUTABLE_FIELD = "immutable"; + + // can only be used when creating a new structured property + public StructuredPropertyDefinitionPatchBuilder setQualifiedName(@Nonnull String name) { + this.pathValues.add( + ImmutableTriple.of( + PatchOperationType.ADD.getValue(), + PATH_DELIM + QUALIFIED_NAME_FIELD, + instance.textNode(name))); + return this; + } + + public StructuredPropertyDefinitionPatchBuilder setDisplayName(@Nonnull String displayName) { + this.pathValues.add( + ImmutableTriple.of( + PatchOperationType.ADD.getValue(), + PATH_DELIM + DISPLAY_NAME_FIELD, + instance.textNode(displayName))); + return this; + } + + public StructuredPropertyDefinitionPatchBuilder setValueType(@Nonnull String valueTypeUrn) { + this.pathValues.add( + ImmutableTriple.of( + PatchOperationType.ADD.getValue(), + PATH_DELIM + VALUE_TYPE_FIELD, + instance.textNode(valueTypeUrn))); + return this; + } + + // can only be used when creating a new structured property + public StructuredPropertyDefinitionPatchBuilder setTypeQualifier( + @Nonnull StringArrayMap typeQualifier) { + ObjectNode value = instance.objectNode(); + typeQualifier.forEach( + (key, values) -> { + ArrayNode valuesNode = instance.arrayNode(); + values.forEach(valuesNode::add); + value.set(key, valuesNode); + }); + this.pathValues.add( + ImmutableTriple.of( + PatchOperationType.ADD.getValue(), PATH_DELIM + TYPE_QUALIFIER_FIELD, value)); + return this; + } + + public StructuredPropertyDefinitionPatchBuilder addAllowedValue( + @Nonnull PropertyValue propertyValue) { + try { + ObjectNode valueNode = + (ObjectNode) new ObjectMapper().readTree(RecordUtils.toJsonString(propertyValue)); + this.pathValues.add( + ImmutableTriple.of( + PatchOperationType.ADD.getValue(), + PATH_DELIM + ALLOWED_VALUES_FIELD + PATH_DELIM + propertyValue.getValue(), + valueNode)); + return this; + } catch (JsonProcessingException e) { + throw new IllegalArgumentException( + "Failed to add allowed value, failed to parse provided aspect json.", e); + } + } + + public StructuredPropertyDefinitionPatchBuilder setCardinality( + @Nonnull PropertyCardinality cardinality) { + this.pathValues.add( + ImmutableTriple.of( + PatchOperationType.ADD.getValue(), + PATH_DELIM + CARDINALITY_FIELD, + instance.textNode(cardinality.toString()))); + return this; + } + + public StructuredPropertyDefinitionPatchBuilder addEntityType(@Nonnull String entityTypeUrn) { + this.pathValues.add( + ImmutableTriple.of( + PatchOperationType.ADD.getValue(), + PATH_DELIM + ENTITY_TYPES_FIELD + PATH_DELIM + entityTypeUrn, + instance.textNode(entityTypeUrn))); + return this; + } + + public StructuredPropertyDefinitionPatchBuilder setDescription(@Nullable String description) { + if (description == null) { + this.pathValues.add( + ImmutableTriple.of( + PatchOperationType.REMOVE.getValue(), PATH_DELIM + DESCRIPTION_FIELD, null)); + } else { + this.pathValues.add( + ImmutableTriple.of( + PatchOperationType.ADD.getValue(), + PATH_DELIM + DESCRIPTION_FIELD, + instance.textNode(description))); + } + return this; + } + + public StructuredPropertyDefinitionPatchBuilder setImmutable(boolean immutable) { + this.pathValues.add( + ImmutableTriple.of( + PatchOperationType.ADD.getValue(), + PATH_DELIM + IMMUTABLE_FIELD, + instance.booleanNode(immutable))); + return this; + } + + @Override + protected String getAspectName() { + return STRUCTURED_PROPERTY_DEFINITION_ASPECT_NAME; + } + + @Override + protected String getEntityType() { + return STRUCTURED_PROPERTY_ENTITY_NAME; + } +} diff --git a/entity-registry/src/main/java/com/linkedin/metadata/aspect/patch/template/ArrayMergingTemplate.java b/entity-registry/src/main/java/com/linkedin/metadata/aspect/patch/template/ArrayMergingTemplate.java index ff721e97c0e1d7..9c1946cd6b6d17 100644 --- a/entity-registry/src/main/java/com/linkedin/metadata/aspect/patch/template/ArrayMergingTemplate.java +++ b/entity-registry/src/main/java/com/linkedin/metadata/aspect/patch/template/ArrayMergingTemplate.java @@ -12,6 +12,8 @@ public interface ArrayMergingTemplate extends Template { + static final String UNIT_SEPARATOR_DELIMITER = "␟"; + /** * Takes an Array field on the {@link RecordTemplate} subtype along with a set of key fields to * transform into a map Avoids producing side effects by copying nodes, use resulting node and not @@ -39,7 +41,15 @@ default JsonNode arrayFieldToMap( JsonNode nodeClone = node.deepCopy(); if (!keyFields.isEmpty()) { for (String keyField : keyFields) { - String key = node.get(keyField).asText(); + String key; + // if the keyField has a unit separator, we are working with a nested key + if (keyField.contains(UNIT_SEPARATOR_DELIMITER)) { + String[] keyParts = keyField.split(UNIT_SEPARATOR_DELIMITER); + JsonNode keyObject = node.get(keyParts[0]); + key = keyObject.get(keyParts[1]).asText(); + } else { + key = node.get(keyField).asText(); + } keyValue = keyValue.get(key) == null ? (ObjectNode) keyValue.set(key, instance.objectNode()).get(key) diff --git a/entity-registry/src/main/java/com/linkedin/metadata/aspect/patch/template/AspectTemplateEngine.java b/entity-registry/src/main/java/com/linkedin/metadata/aspect/patch/template/AspectTemplateEngine.java index 0818241df81559..ce36b7e77a2b16 100644 --- a/entity-registry/src/main/java/com/linkedin/metadata/aspect/patch/template/AspectTemplateEngine.java +++ b/entity-registry/src/main/java/com/linkedin/metadata/aspect/patch/template/AspectTemplateEngine.java @@ -8,10 +8,12 @@ import static com.linkedin.metadata.Constants.DATA_JOB_INPUT_OUTPUT_ASPECT_NAME; import static com.linkedin.metadata.Constants.DATA_PRODUCT_PROPERTIES_ASPECT_NAME; import static com.linkedin.metadata.Constants.EDITABLE_SCHEMA_METADATA_ASPECT_NAME; +import static com.linkedin.metadata.Constants.FORM_INFO_ASPECT_NAME; import static com.linkedin.metadata.Constants.GLOBAL_TAGS_ASPECT_NAME; import static com.linkedin.metadata.Constants.GLOSSARY_TERMS_ASPECT_NAME; import static com.linkedin.metadata.Constants.OWNERSHIP_ASPECT_NAME; import static com.linkedin.metadata.Constants.STRUCTURED_PROPERTIES_ASPECT_NAME; +import static com.linkedin.metadata.Constants.STRUCTURED_PROPERTY_DEFINITION_ASPECT_NAME; import static com.linkedin.metadata.Constants.UPSTREAM_LINEAGE_ASPECT_NAME; import com.fasterxml.jackson.core.JsonProcessingException; @@ -46,7 +48,9 @@ public class AspectTemplateEngine { DATA_JOB_INPUT_OUTPUT_ASPECT_NAME, CHART_INFO_ASPECT_NAME, DASHBOARD_INFO_ASPECT_NAME, - STRUCTURED_PROPERTIES_ASPECT_NAME) + STRUCTURED_PROPERTIES_ASPECT_NAME, + STRUCTURED_PROPERTY_DEFINITION_ASPECT_NAME, + FORM_INFO_ASPECT_NAME) .collect(Collectors.toSet()); private final Map> _aspectTemplateMap; diff --git a/entity-registry/src/main/java/com/linkedin/metadata/aspect/patch/template/form/FormInfoTemplate.java b/entity-registry/src/main/java/com/linkedin/metadata/aspect/patch/template/form/FormInfoTemplate.java new file mode 100644 index 00000000000000..e9288ddd889d40 --- /dev/null +++ b/entity-registry/src/main/java/com/linkedin/metadata/aspect/patch/template/form/FormInfoTemplate.java @@ -0,0 +1,84 @@ +package com.linkedin.metadata.aspect.patch.template.form; + +import static com.fasterxml.jackson.databind.node.JsonNodeFactory.instance; + +import com.fasterxml.jackson.databind.JsonNode; +import com.fasterxml.jackson.databind.node.ObjectNode; +import com.linkedin.data.template.RecordTemplate; +import com.linkedin.form.FormInfo; +import com.linkedin.metadata.aspect.patch.template.CompoundKeyTemplate; +import java.util.Collections; +import javax.annotation.Nonnull; + +public class FormInfoTemplate extends CompoundKeyTemplate { + + private static final String PROMPTS_FIELD_NAME = "prompts"; + private static final String PROMPT_ID_FIELD_NAME = "id"; + private static final String ACTORS_FIELD_NAME = "actors"; + private static final String USERS_FIELD_NAME = "users"; + private static final String GROUPS_FIELD_NAME = "groups"; + + @Override + public FormInfo getSubtype(RecordTemplate recordTemplate) throws ClassCastException { + if (recordTemplate instanceof FormInfo) { + return (FormInfo) recordTemplate; + } + throw new ClassCastException("Unable to cast RecordTemplate to FormInfo"); + } + + @Override + public Class getTemplateType() { + return FormInfo.class; + } + + @Nonnull + @Override + public FormInfo getDefault() { + FormInfo formInfo = new FormInfo(); + formInfo.setName(""); + + return formInfo; + } + + @Nonnull + @Override + public JsonNode transformFields(JsonNode baseNode) { + JsonNode transformedNode = + arrayFieldToMap( + baseNode, PROMPTS_FIELD_NAME, Collections.singletonList(PROMPT_ID_FIELD_NAME)); + + JsonNode actors = transformedNode.get(ACTORS_FIELD_NAME); + if (actors == null) { + actors = instance.objectNode(); + } + + JsonNode transformedActorsNode = + arrayFieldToMap(actors, USERS_FIELD_NAME, Collections.emptyList()); + transformedActorsNode = + arrayFieldToMap(transformedActorsNode, GROUPS_FIELD_NAME, Collections.emptyList()); + ((ObjectNode) transformedNode).set(ACTORS_FIELD_NAME, transformedActorsNode); + + return transformedNode; + } + + @Nonnull + @Override + public JsonNode rebaseFields(JsonNode patched) { + JsonNode transformedNode = + transformedMapToArray( + patched, PROMPTS_FIELD_NAME, Collections.singletonList(PROMPT_ID_FIELD_NAME)); + + JsonNode actors = transformedNode.get(ACTORS_FIELD_NAME); + if (actors == null) { + actors = instance.objectNode(); + } + + JsonNode transformedActorsNode = + transformedMapToArray(actors, USERS_FIELD_NAME, Collections.emptyList()); + transformedActorsNode = + transformedMapToArray(transformedActorsNode, GROUPS_FIELD_NAME, Collections.emptyList()); + ((ObjectNode) transformedNode).set(ACTORS_FIELD_NAME, transformedActorsNode); + + return transformedNode; + } +} diff --git a/entity-registry/src/main/java/com/linkedin/metadata/aspect/patch/template/structuredproperty/StructuredPropertyDefinitionTemplate.java b/entity-registry/src/main/java/com/linkedin/metadata/aspect/patch/template/structuredproperty/StructuredPropertyDefinitionTemplate.java new file mode 100644 index 00000000000000..2a0fa4950e1577 --- /dev/null +++ b/entity-registry/src/main/java/com/linkedin/metadata/aspect/patch/template/structuredproperty/StructuredPropertyDefinitionTemplate.java @@ -0,0 +1,86 @@ +package com.linkedin.metadata.aspect.patch.template.structuredproperty; + +import com.fasterxml.jackson.databind.JsonNode; +import com.fasterxml.jackson.databind.node.ArrayNode; +import com.linkedin.common.UrnArray; +import com.linkedin.common.urn.UrnUtils; +import com.linkedin.data.template.RecordTemplate; +import com.linkedin.metadata.aspect.patch.template.CompoundKeyTemplate; +import com.linkedin.structured.StructuredPropertyDefinition; +import java.util.Collections; +import javax.annotation.Nonnull; + +public class StructuredPropertyDefinitionTemplate + extends CompoundKeyTemplate { + + private static final String ENTITY_TYPES_FIELD_NAME = "entityTypes"; + private static final String ALLOWED_VALUES_FIELD_NAME = "allowedValues"; + private static final String VALUE_FIELD_NAME = "value"; + private static final String UNIT_SEPARATOR_DELIMITER = "␟"; + + @Override + public StructuredPropertyDefinition getSubtype(RecordTemplate recordTemplate) + throws ClassCastException { + if (recordTemplate instanceof StructuredPropertyDefinition) { + return (StructuredPropertyDefinition) recordTemplate; + } + throw new ClassCastException("Unable to cast RecordTemplate to StructuredPropertyDefinition"); + } + + @Override + public Class getTemplateType() { + return StructuredPropertyDefinition.class; + } + + @Nonnull + @Override + public StructuredPropertyDefinition getDefault() { + StructuredPropertyDefinition definition = new StructuredPropertyDefinition(); + definition.setQualifiedName(""); + definition.setValueType(UrnUtils.getUrn("urn:li:dataType:datahub.string")); + definition.setEntityTypes(new UrnArray()); + + return definition; + } + + @Nonnull + @Override + public JsonNode transformFields(JsonNode baseNode) { + JsonNode transformedNode = + arrayFieldToMap(baseNode, ENTITY_TYPES_FIELD_NAME, Collections.emptyList()); + + if (transformedNode.get(ALLOWED_VALUES_FIELD_NAME) == null) { + return transformedNode; + } + + // allowedValues has a nested key - value.string or value.number depending on type. Mapping + // needs this nested key + JsonNode allowedValues = transformedNode.get(ALLOWED_VALUES_FIELD_NAME); + if (((ArrayNode) allowedValues).size() > 0) { + JsonNode allowedValue = ((ArrayNode) allowedValues).get(0); + JsonNode value = allowedValue.get(VALUE_FIELD_NAME); + String secondaryKeyName = value.fieldNames().next(); + return arrayFieldToMap( + transformedNode, + ALLOWED_VALUES_FIELD_NAME, + Collections.singletonList( + VALUE_FIELD_NAME + UNIT_SEPARATOR_DELIMITER + secondaryKeyName)); + } + + return arrayFieldToMap( + transformedNode, ALLOWED_VALUES_FIELD_NAME, Collections.singletonList(VALUE_FIELD_NAME)); + } + + @Nonnull + @Override + public JsonNode rebaseFields(JsonNode patched) { + JsonNode patchedNode = + transformedMapToArray(patched, ENTITY_TYPES_FIELD_NAME, Collections.emptyList()); + + if (patchedNode.get(ALLOWED_VALUES_FIELD_NAME) == null) { + return patchedNode; + } + return transformedMapToArray( + patchedNode, ALLOWED_VALUES_FIELD_NAME, Collections.singletonList(VALUE_FIELD_NAME)); + } +} diff --git a/entity-registry/src/main/java/com/linkedin/metadata/aspect/plugins/validation/AspectValidationException.java b/entity-registry/src/main/java/com/linkedin/metadata/aspect/plugins/validation/AspectValidationException.java index f83642c5eed9ec..dd8798ee89ae6b 100644 --- a/entity-registry/src/main/java/com/linkedin/metadata/aspect/plugins/validation/AspectValidationException.java +++ b/entity-registry/src/main/java/com/linkedin/metadata/aspect/plugins/validation/AspectValidationException.java @@ -1,12 +1,16 @@ package com.linkedin.metadata.aspect.plugins.validation; import com.linkedin.common.urn.Urn; +import com.linkedin.events.metadata.ChangeType; import com.linkedin.metadata.aspect.batch.BatchItem; import com.linkedin.util.Pair; -import java.util.Objects; import javax.annotation.Nonnull; import javax.annotation.Nullable; +import lombok.EqualsAndHashCode; +import lombok.Value; +@Value +@EqualsAndHashCode(callSuper = false) public class AspectValidationException extends Exception { public static AspectValidationException forItem(BatchItem item, String msg) { @@ -14,46 +18,55 @@ public static AspectValidationException forItem(BatchItem item, String msg) { } public static AspectValidationException forItem(BatchItem item, String msg, Exception e) { - return new AspectValidationException(item.getUrn(), item.getAspectName(), msg, e); + return new AspectValidationException( + item.getChangeType(), item.getUrn(), item.getAspectName(), msg, SubType.VALIDATION, e); } - @Nonnull private final Urn entityUrn; - @Nonnull private final String aspectName; - @Nullable private final String msg; + public static AspectValidationException forPrecondition(BatchItem item, String msg) { + return forPrecondition(item, msg, null); + } + + public static AspectValidationException forPrecondition(BatchItem item, String msg, Exception e) { + return new AspectValidationException( + item.getChangeType(), item.getUrn(), item.getAspectName(), msg, SubType.PRECONDITION, e); + } - public AspectValidationException(@Nonnull Urn entityUrn, @Nonnull String aspectName, String msg) { - this(entityUrn, aspectName, msg, null); + @Nonnull ChangeType changeType; + @Nonnull Urn entityUrn; + @Nonnull String aspectName; + @Nonnull SubType subType; + @Nullable String msg; + + public AspectValidationException( + @Nonnull ChangeType changeType, + @Nonnull Urn entityUrn, + @Nonnull String aspectName, + String msg, + SubType subType) { + this(changeType, entityUrn, aspectName, msg, subType, null); } public AspectValidationException( - @Nonnull Urn entityUrn, @Nonnull String aspectName, @Nonnull String msg, Exception e) { + @Nonnull ChangeType changeType, + @Nonnull Urn entityUrn, + @Nonnull String aspectName, + @Nonnull String msg, + @Nullable SubType subType, + Exception e) { super(msg, e); + this.changeType = changeType; this.entityUrn = entityUrn; this.aspectName = aspectName; this.msg = msg; + this.subType = subType != null ? subType : SubType.VALIDATION; } - public Pair getExceptionKey() { + public Pair getAspectGroup() { return Pair.of(entityUrn, aspectName); } - @Override - public boolean equals(Object o) { - if (this == o) return true; - if (o == null || getClass() != o.getClass()) return false; - - AspectValidationException that = (AspectValidationException) o; - - if (!entityUrn.equals(that.entityUrn)) return false; - if (!aspectName.equals(that.aspectName)) return false; - return Objects.equals(msg, that.msg); - } - - @Override - public int hashCode() { - int result = entityUrn.hashCode(); - result = 31 * result + aspectName.hashCode(); - result = 31 * result + (msg != null ? msg.hashCode() : 0); - return result; + public static enum SubType { + VALIDATION, + PRECONDITION } } diff --git a/entity-registry/src/main/java/com/linkedin/metadata/aspect/plugins/validation/ValidationExceptionCollection.java b/entity-registry/src/main/java/com/linkedin/metadata/aspect/plugins/validation/ValidationExceptionCollection.java index 559fa85cff04c4..007c196156b124 100644 --- a/entity-registry/src/main/java/com/linkedin/metadata/aspect/plugins/validation/ValidationExceptionCollection.java +++ b/entity-registry/src/main/java/com/linkedin/metadata/aspect/plugins/validation/ValidationExceptionCollection.java @@ -20,7 +20,7 @@ public static ValidationExceptionCollection newCollection() { } public void addException(AspectValidationException exception) { - super.computeIfAbsent(exception.getExceptionKey(), key -> new HashSet<>()).add(exception); + super.computeIfAbsent(exception.getAspectGroup(), key -> new HashSet<>()).add(exception); } public void addException(BatchItem item, String message) { diff --git a/entity-registry/src/main/java/com/linkedin/metadata/aspect/validation/ConditionalWriteValidator.java b/entity-registry/src/main/java/com/linkedin/metadata/aspect/validation/ConditionalWriteValidator.java new file mode 100644 index 00000000000000..810693c80fa13f --- /dev/null +++ b/entity-registry/src/main/java/com/linkedin/metadata/aspect/validation/ConditionalWriteValidator.java @@ -0,0 +1,225 @@ +package com.linkedin.metadata.aspect.validation; + +import com.google.common.collect.ImmutableSet; +import com.google.common.net.HttpHeaders; +import com.linkedin.common.urn.Urn; +import com.linkedin.events.metadata.ChangeType; +import com.linkedin.metadata.aspect.AspectRetriever; +import com.linkedin.metadata.aspect.RetrieverContext; +import com.linkedin.metadata.aspect.SystemAspect; +import com.linkedin.metadata.aspect.batch.BatchItem; +import com.linkedin.metadata.aspect.batch.ChangeMCP; +import com.linkedin.metadata.aspect.plugins.config.AspectPluginConfig; +import com.linkedin.metadata.aspect.plugins.validation.AspectPayloadValidator; +import com.linkedin.metadata.aspect.plugins.validation.AspectValidationException; +import com.linkedin.metadata.aspect.plugins.validation.ValidationExceptionCollection; +import com.linkedin.util.Pair; +import java.time.Instant; +import java.util.Collection; +import java.util.Collections; +import java.util.List; +import java.util.Map; +import java.util.Optional; +import java.util.Set; +import java.util.stream.Collectors; +import java.util.stream.Stream; +import javax.annotation.Nonnull; +import lombok.Getter; +import lombok.Setter; +import lombok.experimental.Accessors; + +/** + * Implements conditional write semantics. + * + *

1. If an aspect change request includes a SystemMetadata section which includes a value for + * nextAspectVersion, then it must match the current SystemMetadata's value for nextAspectVersion or + * prevent performing the write operation. + * + *

2. Headers are included with the MCP for the following time-based checks * If-Modified-Since * + * If-Unmodified-Since + */ +@Setter +@Getter +@Accessors(chain = true) +public class ConditionalWriteValidator extends AspectPayloadValidator { + public static final String UNVERSIONED_ASPECT_VERSION = "-1"; + public static final long DEFAULT_LAST_MODIFIED_TIME = Long.MIN_VALUE; + public static final String HTTP_HEADER_IF_VERSION_MATCH = "If-Version-Match"; + public static final Set CREATE_CHANGE_TYPES = + ImmutableSet.of(ChangeType.CREATE, ChangeType.CREATE_ENTITY); + + @Nonnull private AspectPluginConfig config; + + private static boolean hasTimePrecondition(ChangeMCP item) { + return item.getHeader(HttpHeaders.IF_MODIFIED_SINCE).isPresent() + || item.getHeader(HttpHeaders.IF_UNMODIFIED_SINCE).isPresent(); + } + + private static boolean hasVersionPrecondition(ChangeMCP item) { + return item.getHeader(HTTP_HEADER_IF_VERSION_MATCH).isPresent(); + } + + private static boolean isApplicableFilter(ChangeMCP item) { + if (ChangeType.RESTATE.equals(item.getChangeType())) { + return false; + } + + return hasTimePrecondition(item) || hasVersionPrecondition(item); + } + + @Override + protected Stream validatePreCommitAspects( + @Nonnull Collection changeMCPs, @Nonnull RetrieverContext retrieverContext) { + ValidationExceptionCollection exceptions = ValidationExceptionCollection.newCollection(); + AspectRetriever aspectRetriever = retrieverContext.getAspectRetriever(); + + List applicableMCPs = + changeMCPs.stream() + .filter(ConditionalWriteValidator::isApplicableFilter) + .collect(Collectors.toList()); + + // Batch lookup missing data + Map> missingDataUrnAspects = + applicableMCPs.stream() + // create change types not expected to have previous data + .filter(item -> !CREATE_CHANGE_TYPES.contains(item.getChangeType())) + .filter(item -> item.getPreviousSystemAspect() == null) + .collect( + Collectors.groupingBy( + ChangeMCP::getUrn, + Collectors.mapping(ChangeMCP::getAspectName, Collectors.toSet()))); + final Map> resolvedData = + aspectRetriever.getLatestSystemAspects(missingDataUrnAspects); + + for (ChangeMCP item : applicableMCPs) { + // Validate aspect version precondition + if (hasVersionPrecondition(item)) { + item.getHeader(HTTP_HEADER_IF_VERSION_MATCH) + .flatMap( + headerValue -> + validateVersionPrecondition( + item, Pair.of(HTTP_HEADER_IF_VERSION_MATCH, headerValue), resolvedData)) + .ifPresent(exceptions::addException); + } + + // Validate modified time conditional + if (hasTimePrecondition(item)) { + item.getHeader(HttpHeaders.IF_MODIFIED_SINCE) + .flatMap( + headerValue -> + validateTimePrecondition( + item, Pair.of(HttpHeaders.IF_MODIFIED_SINCE, headerValue), resolvedData)) + .ifPresent(exceptions::addException); + item.getHeader(HttpHeaders.IF_UNMODIFIED_SINCE) + .flatMap( + headerValue -> + validateTimePrecondition( + item, Pair.of(HttpHeaders.IF_UNMODIFIED_SINCE, headerValue), resolvedData)) + .ifPresent(exceptions::addException); + } + } + + return exceptions.streamAllExceptions(); + } + + private static Optional validateVersionPrecondition( + ChangeMCP item, + Pair header, + Map> resolvedData) { + final String actualAspectVersion; + switch (item.getChangeType()) { + case CREATE: + case CREATE_ENTITY: + actualAspectVersion = UNVERSIONED_ASPECT_VERSION; + break; + default: + actualAspectVersion = + resolvePreviousSystemAspect(item, resolvedData) + .map( + prevSystemAspect -> { + if (prevSystemAspect.getSystemMetadataVersion().isPresent()) { + return String.valueOf(prevSystemAspect.getSystemMetadataVersion().get()); + } else { + return String.valueOf(Math.max(1, prevSystemAspect.getVersion())); + } + }) + .orElse(UNVERSIONED_ASPECT_VERSION); + break; + } + + if (!header.getSecond().equals(actualAspectVersion)) { + return Optional.of( + AspectValidationException.forPrecondition( + item, + String.format( + "Expected version %s, actual version %s", + header.getSecond(), actualAspectVersion))); + } + + return Optional.empty(); + } + + private static Optional validateTimePrecondition( + ChangeMCP item, + Pair header, + Map> resolvedData) { + + final long lastModifiedTimeMs; + switch (item.getChangeType()) { + case CREATE: + case CREATE_ENTITY: + lastModifiedTimeMs = DEFAULT_LAST_MODIFIED_TIME; + break; + default: + lastModifiedTimeMs = + resolvePreviousSystemAspect(item, resolvedData) + .map(systemAspect -> systemAspect.getAuditStamp().getTime()) + .orElse(DEFAULT_LAST_MODIFIED_TIME); + break; + } + + long headerValueEpochMs = Instant.parse(header.getValue()).toEpochMilli(); + + switch (header.getKey()) { + case HttpHeaders.IF_MODIFIED_SINCE: + return lastModifiedTimeMs > headerValueEpochMs + ? Optional.empty() + : Optional.of( + AspectValidationException.forPrecondition( + item, + String.format( + "Item last modified %s <= %s (epoch ms)", + lastModifiedTimeMs, headerValueEpochMs))); + case HttpHeaders.IF_UNMODIFIED_SINCE: + return lastModifiedTimeMs <= headerValueEpochMs + ? Optional.empty() + : Optional.of( + AspectValidationException.forPrecondition( + item, + String.format( + "Item last modified %s > %s (epoch ms)", + lastModifiedTimeMs, headerValueEpochMs))); + default: + return Optional.empty(); + } + } + + private static Optional resolvePreviousSystemAspect( + ChangeMCP item, Map> resolvedData) { + if (item.getPreviousSystemAspect() != null) { + return Optional.of(item.getPreviousSystemAspect()); + } + if (resolvedData.getOrDefault(item.getUrn(), Collections.emptyMap()).get(item.getAspectName()) + != null) { + return Optional.of(resolvedData.get(item.getUrn()).get(item.getAspectName())); + } + return Optional.empty(); + } + + @Override + protected Stream validateProposedAspects( + @Nonnull Collection mcpItems, + @Nonnull RetrieverContext retrieverContext) { + return Stream.empty(); + } +} diff --git a/entity-registry/src/main/java/com/linkedin/metadata/models/registry/SnapshotEntityRegistry.java b/entity-registry/src/main/java/com/linkedin/metadata/models/registry/SnapshotEntityRegistry.java index 22aeddb6ac65fd..c60f89c510cd7f 100644 --- a/entity-registry/src/main/java/com/linkedin/metadata/models/registry/SnapshotEntityRegistry.java +++ b/entity-registry/src/main/java/com/linkedin/metadata/models/registry/SnapshotEntityRegistry.java @@ -20,6 +20,8 @@ import com.linkedin.metadata.aspect.patch.template.dataset.DatasetPropertiesTemplate; import com.linkedin.metadata.aspect.patch.template.dataset.EditableSchemaMetadataTemplate; import com.linkedin.metadata.aspect.patch.template.dataset.UpstreamLineageTemplate; +import com.linkedin.metadata.aspect.patch.template.form.FormInfoTemplate; +import com.linkedin.metadata.aspect.patch.template.structuredproperty.StructuredPropertyDefinitionTemplate; import com.linkedin.metadata.models.AspectSpec; import com.linkedin.metadata.models.DefaultEntitySpec; import com.linkedin.metadata.models.EntitySpec; @@ -87,6 +89,9 @@ private AspectTemplateEngine populateTemplateEngine(Map aspe aspectSpecTemplateMap.put(DATA_JOB_INPUT_OUTPUT_ASPECT_NAME, new DataJobInputOutputTemplate()); aspectSpecTemplateMap.put( STRUCTURED_PROPERTIES_ASPECT_NAME, new StructuredPropertiesTemplate()); + aspectSpecTemplateMap.put( + STRUCTURED_PROPERTY_DEFINITION_ASPECT_NAME, new StructuredPropertyDefinitionTemplate()); + aspectSpecTemplateMap.put(FORM_INFO_ASPECT_NAME, new FormInfoTemplate()); return new AspectTemplateEngine(aspectSpecTemplateMap); } diff --git a/entity-registry/src/test/java/com/linkedin/metadata/aspect/validators/ConditionalWriteValidatorTest.java b/entity-registry/src/test/java/com/linkedin/metadata/aspect/validators/ConditionalWriteValidatorTest.java new file mode 100644 index 00000000000000..652328781c3bb3 --- /dev/null +++ b/entity-registry/src/test/java/com/linkedin/metadata/aspect/validators/ConditionalWriteValidatorTest.java @@ -0,0 +1,1174 @@ +package com.linkedin.metadata.aspect.validators; + +import static com.linkedin.metadata.aspect.validation.ConditionalWriteValidator.HTTP_HEADER_IF_VERSION_MATCH; +import static org.mockito.ArgumentMatchers.eq; +import static org.mockito.Mockito.mock; +import static org.mockito.Mockito.reset; +import static org.mockito.Mockito.when; +import static org.testng.Assert.assertEquals; + +import com.google.common.net.HttpHeaders; +import com.linkedin.common.Status; +import com.linkedin.common.urn.Urn; +import com.linkedin.common.urn.UrnUtils; +import com.linkedin.data.template.StringMap; +import com.linkedin.events.metadata.ChangeType; +import com.linkedin.metadata.aspect.AspectRetriever; +import com.linkedin.metadata.aspect.GraphRetriever; +import com.linkedin.metadata.aspect.RetrieverContext; +import com.linkedin.metadata.aspect.batch.ChangeMCP; +import com.linkedin.metadata.aspect.plugins.config.AspectPluginConfig; +import com.linkedin.metadata.aspect.plugins.validation.AspectValidationException; +import com.linkedin.metadata.aspect.validation.ConditionalWriteValidator; +import com.linkedin.metadata.models.registry.EntityRegistry; +import com.linkedin.mxe.MetadataChangeProposal; +import com.linkedin.mxe.SystemMetadata; +import com.linkedin.test.metadata.aspect.TestEntityRegistry; +import com.linkedin.test.metadata.aspect.batch.TestMCP; +import com.linkedin.test.metadata.aspect.batch.TestSystemAspect; +import java.sql.Timestamp; +import java.time.Instant; +import java.util.List; +import java.util.Map; +import java.util.Set; +import java.util.stream.Collectors; +import org.testng.annotations.BeforeTest; +import org.testng.annotations.Test; + +public class ConditionalWriteValidatorTest { + private EntityRegistry entityRegistry; + private RetrieverContext mockRetrieverContext; + private static final List supportedChangeTypes = + List.of( + ChangeType.CREATE, + ChangeType.CREATE_ENTITY, + ChangeType.DELETE, + ChangeType.UPSERT, + ChangeType.UPDATE, + ChangeType.RESTATE, + ChangeType.PATCH); + + private static final AspectPluginConfig validatorConfig = + AspectPluginConfig.builder() + .supportedOperations( + supportedChangeTypes.stream().map(Object::toString).collect(Collectors.toList())) + .className(ConditionalWriteValidator.class.getName()) + .supportedEntityAspectNames(List.of(AspectPluginConfig.EntityAspectName.ALL)) + .enabled(true) + .build(); + + @BeforeTest + public void init() { + entityRegistry = new TestEntityRegistry(); + AspectRetriever mockAspectRetriever = mock(AspectRetriever.class); + when(mockAspectRetriever.getEntityRegistry()).thenReturn(entityRegistry); + GraphRetriever mockGraphRetriever = mock(GraphRetriever.class); + mockRetrieverContext = mock(RetrieverContext.class); + when(mockRetrieverContext.getAspectRetriever()).thenReturn(mockAspectRetriever); + when(mockRetrieverContext.getGraphRetriever()).thenReturn(mockGraphRetriever); + } + + @Test + public void testNextVersionSuccess() { + ConditionalWriteValidator test = new ConditionalWriteValidator().setConfig(validatorConfig); + Urn testEntityUrn = UrnUtils.getUrn("urn:li:chart:(looker,baz1)"); + + for (ChangeType changeType : supportedChangeTypes) { + final ChangeMCP testMCP; + switch (changeType) { + case RESTATE: + case CREATE_ENTITY: + case CREATE: + testMCP = + TestMCP.builder() + .changeType(changeType) + .urn(testEntityUrn) + .entitySpec(entityRegistry.getEntitySpec(testEntityUrn.getEntityType())) + .aspectSpec( + entityRegistry + .getEntitySpec(testEntityUrn.getEntityType()) + .getAspectSpec("status")) + .recordTemplate(new Status().setRemoved(false)) + // Expected + .headers(Map.of(HTTP_HEADER_IF_VERSION_MATCH, "-1")) + .build(); + break; + default: + testMCP = + TestMCP.builder() + .changeType(changeType) + .urn(testEntityUrn) + .entitySpec(entityRegistry.getEntitySpec(testEntityUrn.getEntityType())) + .aspectSpec( + entityRegistry + .getEntitySpec(testEntityUrn.getEntityType()) + .getAspectSpec("status")) + .recordTemplate(new Status().setRemoved(false)) + // Expected + .headers(Map.of(HTTP_HEADER_IF_VERSION_MATCH, "1")) + .previousSystemAspect( + TestSystemAspect.builder() + .urn(testEntityUrn) + .entitySpec(entityRegistry.getEntitySpec(testEntityUrn.getEntityType())) + .aspectSpec( + entityRegistry + .getEntitySpec(testEntityUrn.getEntityType()) + .getAspectSpec("status")) + // Previous / actual + .systemMetadata(new SystemMetadata().setVersion("1")) + .build()) + .build(); + break; + } + + Set exceptions = + test.validatePreCommit(List.of(testMCP), mockRetrieverContext) + .collect(Collectors.toSet()); + + assertEquals(Set.of(), exceptions, "Expected no exceptions for change type " + changeType); + } + } + + @Test + public void testNoSystemMetadataNextVersionNextVersionSuccess() { + ConditionalWriteValidator test = new ConditionalWriteValidator().setConfig(validatorConfig); + Urn testEntityUrn = UrnUtils.getUrn("urn:li:chart:(looker,baz1)"); + + for (ChangeType changeType : supportedChangeTypes) { + final ChangeMCP testMCP; + switch (changeType) { + case DELETE: + reset(mockRetrieverContext.getAspectRetriever()); + when(mockRetrieverContext + .getAspectRetriever() + .getLatestSystemAspects(eq(Map.of(testEntityUrn, Set.of("status"))))) + .thenReturn( + Map.of( + testEntityUrn, + Map.of( + "status", + TestSystemAspect.builder() + .systemMetadata(new SystemMetadata().setVersion("1")) + .build()))); + testMCP = + TestMCP.builder() + .changeType(changeType) + .urn(testEntityUrn) + .entitySpec(entityRegistry.getEntitySpec(testEntityUrn.getEntityType())) + .aspectSpec( + entityRegistry + .getEntitySpec(testEntityUrn.getEntityType()) + .getAspectSpec("status")) + .recordTemplate(new Status().setRemoved(false)) + // Expected (cannot delete non-existent -1) + .headers(Map.of(HTTP_HEADER_IF_VERSION_MATCH, "1")) + .build(); + break; + case CREATE: + case CREATE_ENTITY: + reset(mockRetrieverContext.getAspectRetriever()); + testMCP = + TestMCP.builder() + .changeType(changeType) + .urn(testEntityUrn) + .entitySpec(entityRegistry.getEntitySpec(testEntityUrn.getEntityType())) + .aspectSpec( + entityRegistry + .getEntitySpec(testEntityUrn.getEntityType()) + .getAspectSpec("status")) + .recordTemplate(new Status().setRemoved(false)) + // Expected + .headers(Map.of(HTTP_HEADER_IF_VERSION_MATCH, "-1")) + .previousSystemAspect( + TestSystemAspect.builder() + .urn(testEntityUrn) + .entitySpec(entityRegistry.getEntitySpec(testEntityUrn.getEntityType())) + .aspectSpec( + entityRegistry + .getEntitySpec(testEntityUrn.getEntityType()) + .getAspectSpec("status")) + // Missing previous system metadata, expect fallback to version + .version(0) + .build()) + .build(); + break; + default: + reset(mockRetrieverContext.getAspectRetriever()); + testMCP = + TestMCP.builder() + .changeType(changeType) + .urn(testEntityUrn) + .entitySpec(entityRegistry.getEntitySpec(testEntityUrn.getEntityType())) + .aspectSpec( + entityRegistry + .getEntitySpec(testEntityUrn.getEntityType()) + .getAspectSpec("status")) + .recordTemplate(new Status().setRemoved(false)) + // Expected + .headers(Map.of(HTTP_HEADER_IF_VERSION_MATCH, "1")) + .previousSystemAspect( + TestSystemAspect.builder() + .urn(testEntityUrn) + .entitySpec(entityRegistry.getEntitySpec(testEntityUrn.getEntityType())) + .aspectSpec( + entityRegistry + .getEntitySpec(testEntityUrn.getEntityType()) + .getAspectSpec("status")) + // Missing previous system metadata, expect fallback to version + .version(0) + .build()) + .build(); + break; + } + + Set exceptions = + test.validatePreCommit(List.of(testMCP), mockRetrieverContext) + .collect(Collectors.toSet()); + + assertEquals( + Set.of(), + exceptions, + String.format( + "Expected no exceptions for change type %s but found %s", changeType, exceptions)); + } + } + + @Test + public void testNoPreviousVersionsLookupSchemaMetadataNextVersionSuccess() { + ConditionalWriteValidator test = new ConditionalWriteValidator().setConfig(validatorConfig); + Urn testEntityUrn = UrnUtils.getUrn("urn:li:chart:(looker,baz1)"); + + // Prepare mock lookup based on version + reset(mockRetrieverContext.getAspectRetriever()); + when(mockRetrieverContext + .getAspectRetriever() + .getLatestSystemAspects(eq(Map.of(testEntityUrn, Set.of("status"))))) + .thenReturn( + Map.of( + testEntityUrn, + Map.of( + "status", + TestSystemAspect.builder() + .systemMetadata( + new SystemMetadata().setVersion("2")) // expected next version 2 + .build()))); + + for (ChangeType changeType : supportedChangeTypes) { + final ChangeMCP testMCP; + switch (changeType) { + case CREATE: + case CREATE_ENTITY: + testMCP = + TestMCP.builder() + .changeType(changeType) + .urn(testEntityUrn) + .entitySpec(entityRegistry.getEntitySpec(testEntityUrn.getEntityType())) + .aspectSpec( + entityRegistry + .getEntitySpec(testEntityUrn.getEntityType()) + .getAspectSpec("status")) + .recordTemplate(new Status().setRemoved(false)) + // Expected is always 1 + .headers(Map.of(HTTP_HEADER_IF_VERSION_MATCH, "-1")) + .build(); + break; + default: + testMCP = + TestMCP.builder() + .changeType(changeType) + .urn(testEntityUrn) + .entitySpec(entityRegistry.getEntitySpec(testEntityUrn.getEntityType())) + .aspectSpec( + entityRegistry + .getEntitySpec(testEntityUrn.getEntityType()) + .getAspectSpec("status")) + .recordTemplate(new Status().setRemoved(false)) + // Expected + .headers(Map.of(HTTP_HEADER_IF_VERSION_MATCH, "2")) + .build(); + break; + } + + Set exceptions = + test.validatePreCommit(List.of(testMCP), mockRetrieverContext) + .collect(Collectors.toSet()); + + assertEquals(Set.of(), exceptions, "Expected no exceptions for change type " + changeType); + } + } + + @Test + public void testNoPreviousVersionsLookupVersionNextVersionSuccess() { + ConditionalWriteValidator test = new ConditionalWriteValidator().setConfig(validatorConfig); + Urn testEntityUrn = UrnUtils.getUrn("urn:li:chart:(looker,baz1)"); + + // Prepare mock lookup based on version + when(mockRetrieverContext + .getAspectRetriever() + .getLatestSystemAspects(eq(Map.of(testEntityUrn, Set.of("status"))))) + .thenReturn( + Map.of( + testEntityUrn, + Map.of( + "status", + TestSystemAspect.builder() + .version(2) // expected next version 2 + .build()))); + + for (ChangeType changeType : supportedChangeTypes) { + final ChangeMCP testMCP; + switch (changeType) { + case CREATE: + case CREATE_ENTITY: + testMCP = + TestMCP.builder() + .changeType(changeType) + .urn(testEntityUrn) + .entitySpec(entityRegistry.getEntitySpec(testEntityUrn.getEntityType())) + .aspectSpec( + entityRegistry + .getEntitySpec(testEntityUrn.getEntityType()) + .getAspectSpec("status")) + .recordTemplate(new Status().setRemoved(false)) + // Expected is always 1 + .headers(Map.of(HTTP_HEADER_IF_VERSION_MATCH, "-1")) + .build(); + break; + default: + testMCP = + TestMCP.builder() + .changeType(changeType) + .urn(testEntityUrn) + .entitySpec(entityRegistry.getEntitySpec(testEntityUrn.getEntityType())) + .aspectSpec( + entityRegistry + .getEntitySpec(testEntityUrn.getEntityType()) + .getAspectSpec("status")) + .recordTemplate(new Status().setRemoved(false)) + // Expected + .headers(Map.of(HTTP_HEADER_IF_VERSION_MATCH, "2")) + .build(); + break; + } + + Set exceptions = + test.validatePreCommit(List.of(testMCP), mockRetrieverContext) + .collect(Collectors.toSet()); + + assertEquals(Set.of(), exceptions, "Expected no exceptions for change type " + changeType); + } + } + + @Test + public void testNextVersionFail() { + ConditionalWriteValidator test = new ConditionalWriteValidator().setConfig(validatorConfig); + Urn testEntityUrn = UrnUtils.getUrn("urn:li:chart:(looker,baz1)"); + + for (ChangeType changeType : supportedChangeTypes) { + final ChangeMCP testMCP; + switch (changeType) { + case DELETE: + // allow lookup of previous value + when(mockRetrieverContext + .getAspectRetriever() + .getLatestSystemAspects(Map.of(testEntityUrn, Set.of("status")))) + .thenReturn( + Map.of( + testEntityUrn, + Map.of( + "status", + TestSystemAspect.builder() + .urn(testEntityUrn) + .version(3) + .recordTemplate(new Status().setRemoved(false)) + .build()))); + // fall through + case RESTATE: + case CREATE_ENTITY: + case CREATE: + testMCP = + TestMCP.builder() + .changeType(changeType) + .urn(testEntityUrn) + .entitySpec(entityRegistry.getEntitySpec(testEntityUrn.getEntityType())) + .aspectSpec( + entityRegistry + .getEntitySpec(testEntityUrn.getEntityType()) + .getAspectSpec("status")) + .recordTemplate(new Status().setRemoved(false)) + // Incorrect Expected + .headers(Map.of(HTTP_HEADER_IF_VERSION_MATCH, "2")) + .build(); + break; + default: + testMCP = + TestMCP.builder() + .changeType(changeType) + .urn(testEntityUrn) + .entitySpec(entityRegistry.getEntitySpec(testEntityUrn.getEntityType())) + .aspectSpec( + entityRegistry + .getEntitySpec(testEntityUrn.getEntityType()) + .getAspectSpec("status")) + .recordTemplate(new Status().setRemoved(false)) + // Incorrect Expected + .headers(Map.of(HTTP_HEADER_IF_VERSION_MATCH, "2")) + .previousSystemAspect( + TestSystemAspect.builder() + .urn(testEntityUrn) + .entitySpec(entityRegistry.getEntitySpec(testEntityUrn.getEntityType())) + .aspectSpec( + entityRegistry + .getEntitySpec(testEntityUrn.getEntityType()) + .getAspectSpec("status")) + // Previous / actual + .systemMetadata(new SystemMetadata().setVersion("3")) + .build()) + .build(); + break; + } + + Set exceptions = + test.validatePreCommit(List.of(testMCP), mockRetrieverContext) + .collect(Collectors.toSet()); + + switch (changeType) { + case RESTATE: + assertEquals(Set.of(), exceptions, "Expected no exception for change type RESTATE"); + break; + case CREATE: + case CREATE_ENTITY: + assertEquals(exceptions.size(), 1, "Expected exception for change type " + changeType); + assertEquals( + exceptions.stream().findFirst().get().getMessage(), + "Expected version 2, actual version -1"); + break; + default: + assertEquals(exceptions.size(), 1, "Expected exception for change type " + changeType); + assertEquals( + exceptions.stream().findFirst().get().getMessage(), + "Expected version 2, actual version 3", + "for changeType:" + changeType); + break; + } + } + } + + @Test + public void testNoSystemMetadataNextVersionNextVersionFail() { + ConditionalWriteValidator test = new ConditionalWriteValidator().setConfig(validatorConfig); + Urn testEntityUrn = UrnUtils.getUrn("urn:li:chart:(looker,baz1)"); + + for (ChangeType changeType : supportedChangeTypes) { + final ChangeMCP testMCP; + switch (changeType) { + default: + testMCP = + TestMCP.builder() + .changeType(changeType) + .urn(testEntityUrn) + .entitySpec(entityRegistry.getEntitySpec(testEntityUrn.getEntityType())) + .aspectSpec( + entityRegistry + .getEntitySpec(testEntityUrn.getEntityType()) + .getAspectSpec("status")) + .recordTemplate(new Status().setRemoved(false)) + // Expected + .headers(Map.of(HTTP_HEADER_IF_VERSION_MATCH, "2")) + .previousSystemAspect( + TestSystemAspect.builder() + .urn(testEntityUrn) + .entitySpec(entityRegistry.getEntitySpec(testEntityUrn.getEntityType())) + .aspectSpec( + entityRegistry + .getEntitySpec(testEntityUrn.getEntityType()) + .getAspectSpec("status")) + // Missing previous system metadata, expect fallback to version + .version(3) + .build()) + .build(); + break; + } + + Set exceptions = + test.validatePreCommit(List.of(testMCP), mockRetrieverContext) + .collect(Collectors.toSet()); + + switch (changeType) { + case RESTATE: + assertEquals(Set.of(), exceptions, "Expected no exception for change type RESTATE"); + break; + case CREATE: + case CREATE_ENTITY: + assertEquals(exceptions.size(), 1, "Expected exception for change type " + changeType); + assertEquals( + exceptions.stream().findFirst().get().getMessage(), + "Expected version 2, actual version -1"); + break; + default: + assertEquals(exceptions.size(), 1, "Expected exception for change type " + changeType); + assertEquals( + exceptions.stream().findFirst().get().getMessage(), + "Expected version 2, actual version 3"); + break; + } + } + } + + @Test + public void testNoPreviousVersionsLookupSchemaMetadataNextVersionFail() { + ConditionalWriteValidator test = new ConditionalWriteValidator().setConfig(validatorConfig); + Urn testEntityUrn = UrnUtils.getUrn("urn:li:chart:(looker,baz1)"); + + // Prepare mock lookup based on version + when(mockRetrieverContext + .getAspectRetriever() + .getLatestSystemAspects(eq(Map.of(testEntityUrn, Set.of("status"))))) + .thenReturn( + Map.of( + testEntityUrn, + Map.of( + "status", + TestSystemAspect.builder() + .systemMetadata( + new SystemMetadata().setVersion("3")) // expected next version 3 + .build()))); + + for (ChangeType changeType : supportedChangeTypes) { + final ChangeMCP testMCP; + switch (changeType) { + case CREATE: + case CREATE_ENTITY: + testMCP = + TestMCP.builder() + .changeType(changeType) + .urn(testEntityUrn) + .entitySpec(entityRegistry.getEntitySpec(testEntityUrn.getEntityType())) + .aspectSpec( + entityRegistry + .getEntitySpec(testEntityUrn.getEntityType()) + .getAspectSpec("status")) + .recordTemplate(new Status().setRemoved(false)) + // Expected is always 1 + .headers(Map.of(HTTP_HEADER_IF_VERSION_MATCH, "2")) + .build(); + break; + default: + testMCP = + TestMCP.builder() + .changeType(changeType) + .urn(testEntityUrn) + .entitySpec(entityRegistry.getEntitySpec(testEntityUrn.getEntityType())) + .aspectSpec( + entityRegistry + .getEntitySpec(testEntityUrn.getEntityType()) + .getAspectSpec("status")) + .recordTemplate(new Status().setRemoved(false)) + // Expected + .headers(Map.of(HTTP_HEADER_IF_VERSION_MATCH, "2")) + .build(); + break; + } + + Set exceptions = + test.validatePreCommit(List.of(testMCP), mockRetrieverContext) + .collect(Collectors.toSet()); + + switch (changeType) { + case RESTATE: + assertEquals(Set.of(), exceptions, "Expected no exception for change type RESTATE"); + break; + case CREATE: + case CREATE_ENTITY: + assertEquals(exceptions.size(), 1, "Expected exception for change type " + changeType); + assertEquals( + exceptions.stream().findFirst().get().getMessage(), + "Expected version 2, actual version -1"); + break; + default: + assertEquals(exceptions.size(), 1, "Expected exception for change type " + changeType); + assertEquals( + exceptions.stream().findFirst().get().getMessage(), + "Expected version 2, actual version 3"); + break; + } + } + } + + @Test + public void testNoPreviousVersionsLookupVersionNextVersionFail() { + ConditionalWriteValidator test = new ConditionalWriteValidator().setConfig(validatorConfig); + Urn testEntityUrn = UrnUtils.getUrn("urn:li:chart:(looker,baz1)"); + + // Prepare mock lookup based on version + when(mockRetrieverContext + .getAspectRetriever() + .getLatestSystemAspects(eq(Map.of(testEntityUrn, Set.of("status"))))) + .thenReturn( + Map.of( + testEntityUrn, + Map.of( + "status", + TestSystemAspect.builder() + .version(3) // expected next version 3 + .build()))); + + for (ChangeType changeType : supportedChangeTypes) { + final ChangeMCP testMCP; + switch (changeType) { + case CREATE: + case CREATE_ENTITY: + testMCP = + TestMCP.builder() + .changeType(changeType) + .urn(testEntityUrn) + .entitySpec(entityRegistry.getEntitySpec(testEntityUrn.getEntityType())) + .aspectSpec( + entityRegistry + .getEntitySpec(testEntityUrn.getEntityType()) + .getAspectSpec("status")) + .recordTemplate(new Status().setRemoved(false)) + // Expected is always 1 + .headers(Map.of(HTTP_HEADER_IF_VERSION_MATCH, "2")) + .build(); + break; + default: + testMCP = + TestMCP.builder() + .changeType(changeType) + .urn(testEntityUrn) + .entitySpec(entityRegistry.getEntitySpec(testEntityUrn.getEntityType())) + .aspectSpec( + entityRegistry + .getEntitySpec(testEntityUrn.getEntityType()) + .getAspectSpec("status")) + .recordTemplate(new Status().setRemoved(false)) + // Expected + .headers(Map.of(HTTP_HEADER_IF_VERSION_MATCH, "2")) + .build(); + break; + } + + Set exceptions = + test.validatePreCommit(List.of(testMCP), mockRetrieverContext) + .collect(Collectors.toSet()); + + switch (changeType) { + case RESTATE: + assertEquals(Set.of(), exceptions, "Expected no exception for change type RESTATE"); + break; + case CREATE: + case CREATE_ENTITY: + assertEquals(exceptions.size(), 1, "Expected exception for change type " + changeType); + assertEquals( + exceptions.stream().findFirst().get().getMessage(), + "Expected version 2, actual version -1"); + break; + default: + assertEquals(exceptions.size(), 1, "Expected exception for change type " + changeType); + assertEquals( + exceptions.stream().findFirst().get().getMessage(), + "Expected version 2, actual version 3"); + break; + } + } + } + + @Test + public void testModifiedSinceSuccess() { + ConditionalWriteValidator test = new ConditionalWriteValidator().setConfig(validatorConfig); + Urn testEntityUrn = UrnUtils.getUrn("urn:li:chart:(looker,baz1)"); + + StringMap headers = + new StringMap( + Map.of( + HttpHeaders.IF_UNMODIFIED_SINCE, "2024-07-03T00:00:00Z", + HttpHeaders.IF_MODIFIED_SINCE, "2024-07-01T00:00:00Z")); + Timestamp modified = Timestamp.from(Instant.parse("2024-07-02T00:00:00Z")); + + for (ChangeType changeType : supportedChangeTypes) { + final ChangeMCP testMCP; + switch (changeType) { + case RESTATE: + case CREATE_ENTITY: + case CREATE: + testMCP = + TestMCP.builder() + .changeType(changeType) + .urn(testEntityUrn) + .entitySpec(entityRegistry.getEntitySpec(testEntityUrn.getEntityType())) + .aspectSpec( + entityRegistry + .getEntitySpec(testEntityUrn.getEntityType()) + .getAspectSpec("status")) + .recordTemplate(new Status().setRemoved(false)) + // Expected + .metadataChangeProposal( + new MetadataChangeProposal() + .setHeaders( + new StringMap( + Map.of( + HttpHeaders.IF_UNMODIFIED_SINCE, + headers.get(HttpHeaders.IF_UNMODIFIED_SINCE))))) + .build(); + break; + default: + testMCP = + TestMCP.builder() + .changeType(changeType) + .urn(testEntityUrn) + .entitySpec(entityRegistry.getEntitySpec(testEntityUrn.getEntityType())) + .aspectSpec( + entityRegistry + .getEntitySpec(testEntityUrn.getEntityType()) + .getAspectSpec("status")) + .recordTemplate(new Status().setRemoved(false)) + // Expected + .metadataChangeProposal(new MetadataChangeProposal().setHeaders(headers)) + .previousSystemAspect( + TestSystemAspect.builder() + .urn(testEntityUrn) + .entitySpec(entityRegistry.getEntitySpec(testEntityUrn.getEntityType())) + .aspectSpec( + entityRegistry + .getEntitySpec(testEntityUrn.getEntityType()) + .getAspectSpec("status")) + // Previous / actual + .createdOn(modified) + .createdBy("urn:li:corpuser:test") + .build()) + .build(); + break; + } + + Set exceptions = + test.validatePreCommit(List.of(testMCP), mockRetrieverContext) + .collect(Collectors.toSet()); + + assertEquals(Set.of(), exceptions, "Expected no exceptions for change type " + changeType); + } + } + + @Test + public void testNoPreviousLookupAuditStampModifiedSinceSuccess() { + ConditionalWriteValidator test = new ConditionalWriteValidator().setConfig(validatorConfig); + Urn testEntityUrn = UrnUtils.getUrn("urn:li:chart:(looker,baz1)"); + + StringMap headers = + new StringMap( + Map.of( + HttpHeaders.IF_UNMODIFIED_SINCE, "2024-07-03T00:00:00Z", + HttpHeaders.IF_MODIFIED_SINCE, "2024-07-01T00:00:00Z")); + Timestamp modified = Timestamp.from(Instant.parse("2024-07-02T00:00:00Z")); + + // Prepare mock lookup + when(mockRetrieverContext + .getAspectRetriever() + .getLatestSystemAspects(eq(Map.of(testEntityUrn, Set.of("status"))))) + .thenReturn( + Map.of( + testEntityUrn, + Map.of( + "status", + TestSystemAspect.builder() + .createdOn(modified) + .createdBy("urn:li:corpuser:test") + .build()))); + + for (ChangeType changeType : supportedChangeTypes) { + final ChangeMCP testMCP; + switch (changeType) { + case CREATE: + case CREATE_ENTITY: + testMCP = + TestMCP.builder() + .changeType(changeType) + .urn(testEntityUrn) + .entitySpec(entityRegistry.getEntitySpec(testEntityUrn.getEntityType())) + .aspectSpec( + entityRegistry + .getEntitySpec(testEntityUrn.getEntityType()) + .getAspectSpec("status")) + .recordTemplate(new Status().setRemoved(false)) + .metadataChangeProposal( + new MetadataChangeProposal() + .setHeaders( + new StringMap( + Map.of( + HttpHeaders.IF_UNMODIFIED_SINCE, + headers.get(HttpHeaders.IF_UNMODIFIED_SINCE))))) + .build(); + break; + default: + testMCP = + TestMCP.builder() + .changeType(changeType) + .urn(testEntityUrn) + .entitySpec(entityRegistry.getEntitySpec(testEntityUrn.getEntityType())) + .aspectSpec( + entityRegistry + .getEntitySpec(testEntityUrn.getEntityType()) + .getAspectSpec("status")) + .recordTemplate(new Status().setRemoved(false)) + // Expected + .metadataChangeProposal(new MetadataChangeProposal().setHeaders(headers)) + .build(); + break; + } + + Set exceptions = + test.validatePreCommit(List.of(testMCP), mockRetrieverContext) + .collect(Collectors.toSet()); + + assertEquals(Set.of(), exceptions, "Expected no exceptions for change type " + changeType); + } + } + + @Test + public void testModifiedSinceBeforeRangeFail() { + ConditionalWriteValidator test = new ConditionalWriteValidator().setConfig(validatorConfig); + Urn testEntityUrn = UrnUtils.getUrn("urn:li:chart:(looker,baz1)"); + + StringMap headers = + new StringMap( + Map.of( + HttpHeaders.IF_UNMODIFIED_SINCE, "2024-07-03T00:00:00Z", + HttpHeaders.IF_MODIFIED_SINCE, "2024-07-01T00:00:00Z")); + Timestamp modified = Timestamp.from(Instant.parse("2024-06-30T00:00:00Z")); + + for (ChangeType changeType : supportedChangeTypes) { + final ChangeMCP testMCP; + switch (changeType) { + case RESTATE: + case CREATE_ENTITY: + case CREATE: + testMCP = + TestMCP.builder() + .changeType(changeType) + .urn(testEntityUrn) + .entitySpec(entityRegistry.getEntitySpec(testEntityUrn.getEntityType())) + .aspectSpec( + entityRegistry + .getEntitySpec(testEntityUrn.getEntityType()) + .getAspectSpec("status")) + .recordTemplate(new Status().setRemoved(false)) + // Expected + .metadataChangeProposal( + new MetadataChangeProposal() + .setHeaders( + new StringMap( + Map.of( + HttpHeaders.IF_UNMODIFIED_SINCE, + headers.get(HttpHeaders.IF_UNMODIFIED_SINCE))))) + .build(); + break; + default: + testMCP = + TestMCP.builder() + .changeType(changeType) + .urn(testEntityUrn) + .entitySpec(entityRegistry.getEntitySpec(testEntityUrn.getEntityType())) + .aspectSpec( + entityRegistry + .getEntitySpec(testEntityUrn.getEntityType()) + .getAspectSpec("status")) + .recordTemplate(new Status().setRemoved(false)) + // Expected + .metadataChangeProposal(new MetadataChangeProposal().setHeaders(headers)) + .previousSystemAspect( + TestSystemAspect.builder() + .urn(testEntityUrn) + .entitySpec(entityRegistry.getEntitySpec(testEntityUrn.getEntityType())) + .aspectSpec( + entityRegistry + .getEntitySpec(testEntityUrn.getEntityType()) + .getAspectSpec("status")) + // Previous / actual + .createdOn(modified) + .createdBy("urn:li:corpuser:test") + .build()) + .build(); + break; + } + + Set exceptions = + test.validatePreCommit(List.of(testMCP), mockRetrieverContext) + .collect(Collectors.toSet()); + + switch (changeType) { + case CREATE: + case CREATE_ENTITY: + case RESTATE: + assertEquals(Set.of(), exceptions, "Expected no exception for change type " + changeType); + break; + default: + assertEquals(exceptions.size(), 1, "Expected exception for change type " + changeType); + assertEquals( + exceptions.stream().findFirst().get().getMessage(), + "Item last modified 1719705600000 <= 1719792000000 (epoch ms)"); + break; + } + } + } + + @Test + public void testModifiedSinceAfterRangeFail() { + ConditionalWriteValidator test = new ConditionalWriteValidator().setConfig(validatorConfig); + Urn testEntityUrn = UrnUtils.getUrn("urn:li:chart:(looker,baz1)"); + + StringMap headers = + new StringMap( + Map.of( + HttpHeaders.IF_UNMODIFIED_SINCE, "2024-07-03T00:00:00Z", + HttpHeaders.IF_MODIFIED_SINCE, "2024-07-01T00:00:00Z")); + Timestamp modified = Timestamp.from(Instant.parse("2024-07-04T00:00:00Z")); + + for (ChangeType changeType : supportedChangeTypes) { + final ChangeMCP testMCP; + switch (changeType) { + case RESTATE: + case CREATE_ENTITY: + case CREATE: + testMCP = + TestMCP.builder() + .changeType(changeType) + .urn(testEntityUrn) + .entitySpec(entityRegistry.getEntitySpec(testEntityUrn.getEntityType())) + .aspectSpec( + entityRegistry + .getEntitySpec(testEntityUrn.getEntityType()) + .getAspectSpec("status")) + .recordTemplate(new Status().setRemoved(false)) + // Expected + .metadataChangeProposal( + new MetadataChangeProposal() + .setHeaders( + new StringMap( + Map.of( + HttpHeaders.IF_UNMODIFIED_SINCE, + headers.get(HttpHeaders.IF_UNMODIFIED_SINCE))))) + .build(); + break; + default: + testMCP = + TestMCP.builder() + .changeType(changeType) + .urn(testEntityUrn) + .entitySpec(entityRegistry.getEntitySpec(testEntityUrn.getEntityType())) + .aspectSpec( + entityRegistry + .getEntitySpec(testEntityUrn.getEntityType()) + .getAspectSpec("status")) + .recordTemplate(new Status().setRemoved(false)) + // Expected + .metadataChangeProposal(new MetadataChangeProposal().setHeaders(headers)) + .previousSystemAspect( + TestSystemAspect.builder() + .urn(testEntityUrn) + .entitySpec(entityRegistry.getEntitySpec(testEntityUrn.getEntityType())) + .aspectSpec( + entityRegistry + .getEntitySpec(testEntityUrn.getEntityType()) + .getAspectSpec("status")) + // Previous / actual + .createdOn(modified) + .createdBy("urn:li:corpuser:test") + .build()) + .build(); + break; + } + + Set exceptions = + test.validatePreCommit(List.of(testMCP), mockRetrieverContext) + .collect(Collectors.toSet()); + + switch (changeType) { + case CREATE: + case CREATE_ENTITY: + case RESTATE: + assertEquals(Set.of(), exceptions, "Expected no exception for change type " + changeType); + break; + default: + assertEquals(exceptions.size(), 1, "Expected exception for change type " + changeType); + assertEquals( + exceptions.stream().findFirst().get().getMessage(), + "Item last modified 1720051200000 > 1719964800000 (epoch ms)"); + break; + } + } + } + + @Test + public void testNoPreviousLookupAuditStampModifiedSinceBeforeRangeFail() { + ConditionalWriteValidator test = new ConditionalWriteValidator().setConfig(validatorConfig); + Urn testEntityUrn = UrnUtils.getUrn("urn:li:chart:(looker,baz1)"); + + StringMap headers = + new StringMap( + Map.of( + HttpHeaders.IF_UNMODIFIED_SINCE, "2024-07-03T00:00:00Z", + HttpHeaders.IF_MODIFIED_SINCE, "2024-07-01T00:00:00Z")); + Timestamp modified = Timestamp.from(Instant.parse("2024-06-30T00:00:00Z")); + + // Prepare mock lookup + when(mockRetrieverContext + .getAspectRetriever() + .getLatestSystemAspects(eq(Map.of(testEntityUrn, Set.of("status"))))) + .thenReturn( + Map.of( + testEntityUrn, + Map.of( + "status", + TestSystemAspect.builder() + .createdOn(modified) + .createdBy("urn:li:corpuser:test") + .build()))); + + for (ChangeType changeType : supportedChangeTypes) { + final ChangeMCP testMCP; + switch (changeType) { + case CREATE: + case CREATE_ENTITY: + testMCP = + TestMCP.builder() + .changeType(changeType) + .urn(testEntityUrn) + .entitySpec(entityRegistry.getEntitySpec(testEntityUrn.getEntityType())) + .aspectSpec( + entityRegistry + .getEntitySpec(testEntityUrn.getEntityType()) + .getAspectSpec("status")) + .recordTemplate(new Status().setRemoved(false)) + .metadataChangeProposal( + new MetadataChangeProposal() + .setHeaders( + new StringMap( + Map.of( + HttpHeaders.IF_UNMODIFIED_SINCE, + headers.get(HttpHeaders.IF_UNMODIFIED_SINCE))))) + .build(); + break; + default: + testMCP = + TestMCP.builder() + .changeType(changeType) + .urn(testEntityUrn) + .entitySpec(entityRegistry.getEntitySpec(testEntityUrn.getEntityType())) + .aspectSpec( + entityRegistry + .getEntitySpec(testEntityUrn.getEntityType()) + .getAspectSpec("status")) + .recordTemplate(new Status().setRemoved(false)) + // Expected + .metadataChangeProposal(new MetadataChangeProposal().setHeaders(headers)) + .build(); + break; + } + + Set exceptions = + test.validatePreCommit(List.of(testMCP), mockRetrieverContext) + .collect(Collectors.toSet()); + + switch (changeType) { + case CREATE: + case CREATE_ENTITY: + case RESTATE: + assertEquals(Set.of(), exceptions, "Expected no exception for change type " + changeType); + break; + default: + assertEquals(exceptions.size(), 1, "Expected exception for change type " + changeType); + assertEquals( + exceptions.stream().findFirst().get().getMessage(), + "Item last modified 1719705600000 <= 1719792000000 (epoch ms)"); + break; + } + } + } + + @Test + public void testNoPreviousLookupAuditStampModifiedSinceAfterRangeFail() { + ConditionalWriteValidator test = new ConditionalWriteValidator().setConfig(validatorConfig); + Urn testEntityUrn = UrnUtils.getUrn("urn:li:chart:(looker,baz1)"); + + StringMap headers = + new StringMap( + Map.of( + HttpHeaders.IF_UNMODIFIED_SINCE, "2024-07-03T00:00:00Z", + HttpHeaders.IF_MODIFIED_SINCE, "2024-07-01T00:00:00Z")); + Timestamp modified = Timestamp.from(Instant.parse("2024-07-04T00:00:00Z")); + + // Prepare mock lookup + when(mockRetrieverContext + .getAspectRetriever() + .getLatestSystemAspects(eq(Map.of(testEntityUrn, Set.of("status"))))) + .thenReturn( + Map.of( + testEntityUrn, + Map.of( + "status", + TestSystemAspect.builder() + .createdOn(modified) + .createdBy("urn:li:corpuser:test") + .build()))); + + for (ChangeType changeType : supportedChangeTypes) { + final ChangeMCP testMCP; + switch (changeType) { + case CREATE: + case CREATE_ENTITY: + testMCP = + TestMCP.builder() + .changeType(changeType) + .urn(testEntityUrn) + .entitySpec(entityRegistry.getEntitySpec(testEntityUrn.getEntityType())) + .aspectSpec( + entityRegistry + .getEntitySpec(testEntityUrn.getEntityType()) + .getAspectSpec("status")) + .recordTemplate(new Status().setRemoved(false)) + .metadataChangeProposal( + new MetadataChangeProposal() + .setHeaders( + new StringMap( + Map.of( + HttpHeaders.IF_UNMODIFIED_SINCE, + headers.get(HttpHeaders.IF_UNMODIFIED_SINCE))))) + .build(); + break; + default: + testMCP = + TestMCP.builder() + .changeType(changeType) + .urn(testEntityUrn) + .entitySpec(entityRegistry.getEntitySpec(testEntityUrn.getEntityType())) + .aspectSpec( + entityRegistry + .getEntitySpec(testEntityUrn.getEntityType()) + .getAspectSpec("status")) + .recordTemplate(new Status().setRemoved(false)) + // Expected + .metadataChangeProposal(new MetadataChangeProposal().setHeaders(headers)) + .build(); + break; + } + + Set exceptions = + test.validatePreCommit(List.of(testMCP), mockRetrieverContext) + .collect(Collectors.toSet()); + + switch (changeType) { + case CREATE: + case CREATE_ENTITY: + case RESTATE: + assertEquals(Set.of(), exceptions, "Expected no exception for change type " + changeType); + break; + default: + assertEquals(exceptions.size(), 1, "Expected exception for change type " + changeType); + assertEquals( + exceptions.stream().findFirst().get().getMessage(), + "Item last modified 1720051200000 > 1719964800000 (epoch ms)"); + break; + } + } + } +} diff --git a/entity-registry/src/testFixtures/java/com/linkedin/test/metadata/aspect/MockAspectRetriever.java b/entity-registry/src/testFixtures/java/com/linkedin/test/metadata/aspect/MockAspectRetriever.java index 62e22efa9da165..65705f15022b6b 100644 --- a/entity-registry/src/testFixtures/java/com/linkedin/test/metadata/aspect/MockAspectRetriever.java +++ b/entity-registry/src/testFixtures/java/com/linkedin/test/metadata/aspect/MockAspectRetriever.java @@ -6,9 +6,14 @@ import com.linkedin.data.template.RecordTemplate; import com.linkedin.entity.Aspect; import com.linkedin.metadata.aspect.AspectRetriever; +import com.linkedin.metadata.aspect.SystemAspect; import com.linkedin.metadata.models.registry.EntityRegistry; +import com.linkedin.mxe.SystemMetadata; import com.linkedin.structured.StructuredPropertyDefinition; +import com.linkedin.test.metadata.aspect.batch.TestSystemAspect; import com.linkedin.util.Pair; +import java.sql.Timestamp; +import java.time.Instant; import java.util.HashMap; import java.util.List; import java.util.Map; @@ -19,6 +24,7 @@ public class MockAspectRetriever implements AspectRetriever { private final Map> data; + private final Map> systemData = new HashMap<>(); public MockAspectRetriever(@Nonnull Map> data) { this.data = @@ -39,6 +45,21 @@ public MockAspectRetriever(@Nonnull Map> data) { }) .collect(Collectors.toMap(Pair::getKey, Pair::getValue)))) .collect(Collectors.toMap(Pair::getKey, Pair::getValue))); + for (Map.Entry> urnEntry : this.data.entrySet()) { + for (Map.Entry aspectEntry : urnEntry.getValue().entrySet()) { + systemData + .computeIfAbsent(urnEntry.getKey(), urn -> new HashMap<>()) + .computeIfAbsent( + aspectEntry.getKey(), + aspectName -> + TestSystemAspect.builder() + .urn(urnEntry.getKey()) + .version(0) + .systemMetadata(new SystemMetadata().setVersion("1")) + .createdOn(Timestamp.from(Instant.now())) + .build()); + } + } } public MockAspectRetriever( @@ -60,6 +81,16 @@ public Map> getLatestAspectObjects( .collect(Collectors.toMap(Pair::getKey, Pair::getValue)); } + @Nonnull + @Override + public Map> getLatestSystemAspects( + Map> urnAspectNames) { + return urnAspectNames.keySet().stream() + .filter(systemData::containsKey) + .map(urn -> Pair.of(urn, systemData.get(urn))) + .collect(Collectors.toMap(Pair::getKey, Pair::getValue)); + } + @Nonnull @Override public EntityRegistry getEntityRegistry() { diff --git a/entity-registry/src/testFixtures/java/com/linkedin/test/metadata/aspect/batch/TestMCP.java b/entity-registry/src/testFixtures/java/com/linkedin/test/metadata/aspect/batch/TestMCP.java index 1e1efe4238187b..e562390a959a74 100644 --- a/entity-registry/src/testFixtures/java/com/linkedin/test/metadata/aspect/batch/TestMCP.java +++ b/entity-registry/src/testFixtures/java/com/linkedin/test/metadata/aspect/batch/TestMCP.java @@ -20,7 +20,10 @@ import com.linkedin.test.metadata.aspect.TestEntityRegistry; import java.net.URISyntaxException; import java.util.Collection; +import java.util.Map; +import java.util.Optional; import java.util.Set; +import java.util.stream.Collectors; import javax.annotation.Nonnull; import javax.annotation.Nullable; import lombok.Builder; @@ -119,10 +122,22 @@ public static Set ofOneMCP( private MetadataChangeProposal metadataChangeProposal; @Setter private SystemAspect previousSystemAspect; @Setter private long nextAspectVersion; + @Setter private Map headers; @Nonnull @Override public SystemAspect getSystemAspect(@Nullable Long nextAspectVersion) { return null; } + + @Override + public Map getHeaders() { + return Optional.ofNullable(metadataChangeProposal) + .filter(MetadataChangeProposal::hasHeaders) + .map( + mcp -> + mcp.getHeaders().entrySet().stream() + .collect(Collectors.toMap(Map.Entry::getKey, Map.Entry::getValue))) + .orElse(headers); + } } diff --git a/entity-registry/src/testFixtures/java/com/linkedin/test/metadata/aspect/batch/TestSystemAspect.java b/entity-registry/src/testFixtures/java/com/linkedin/test/metadata/aspect/batch/TestSystemAspect.java new file mode 100644 index 00000000000000..54afdd214f2b23 --- /dev/null +++ b/entity-registry/src/testFixtures/java/com/linkedin/test/metadata/aspect/batch/TestSystemAspect.java @@ -0,0 +1,26 @@ +package com.linkedin.test.metadata.aspect.batch; + +import com.linkedin.common.urn.Urn; +import com.linkedin.data.template.RecordTemplate; +import com.linkedin.metadata.aspect.SystemAspect; +import com.linkedin.metadata.models.AspectSpec; +import com.linkedin.metadata.models.EntitySpec; +import com.linkedin.mxe.SystemMetadata; +import java.sql.Timestamp; +import lombok.Builder; +import lombok.EqualsAndHashCode; +import lombok.Getter; + +@Builder +@Getter +@EqualsAndHashCode +public class TestSystemAspect implements SystemAspect { + private Urn urn; + private long version; + private RecordTemplate recordTemplate; + private SystemMetadata systemMetadata; + private EntitySpec entitySpec; + private AspectSpec aspectSpec; + private Timestamp createdOn; + private String createdBy; +} diff --git a/metadata-ingestion-modules/airflow-plugin/src/datahub_airflow_plugin/datahub_listener.py b/metadata-ingestion-modules/airflow-plugin/src/datahub_airflow_plugin/datahub_listener.py index 53f1dde48cb3fd..6ef4f831522cb9 100644 --- a/metadata-ingestion-modules/airflow-plugin/src/datahub_airflow_plugin/datahub_listener.py +++ b/metadata-ingestion-modules/airflow-plugin/src/datahub_airflow_plugin/datahub_listener.py @@ -536,14 +536,27 @@ def on_dag_start(self, dag_run: "DagRun") -> None: ) dataflow.emit(self.emitter, callback=self._make_emit_callback()) + event: MetadataChangeProposalWrapper = MetadataChangeProposalWrapper( + entityUrn=str(dataflow.urn), aspect=StatusClass(removed=False) + ) + self.emitter.emit(event) + + for task in dag.tasks: + task_urn = builder.make_data_job_urn_with_flow( + str(dataflow.urn), task.task_id + ) + event = MetadataChangeProposalWrapper( + entityUrn=task_urn, aspect=StatusClass(removed=False) + ) + self.emitter.emit(event) + # emit tags for tag in dataflow.tags: tag_urn = builder.make_tag_urn(tag) - event: MetadataChangeProposalWrapper = MetadataChangeProposalWrapper( + event = MetadataChangeProposalWrapper( entityUrn=tag_urn, aspect=StatusClass(removed=False) ) - self.emitter.emit(event) browse_path_v2_event: MetadataChangeProposalWrapper = ( diff --git a/metadata-ingestion-modules/airflow-plugin/tests/integration/goldens/v2_basic_iolets.json b/metadata-ingestion-modules/airflow-plugin/tests/integration/goldens/v2_basic_iolets.json index 1ff53a45abf399..e2f738d19d89a9 100644 --- a/metadata-ingestion-modules/airflow-plugin/tests/integration/goldens/v2_basic_iolets.json +++ b/metadata-ingestion-modules/airflow-plugin/tests/integration/goldens/v2_basic_iolets.json @@ -57,6 +57,28 @@ } } }, +{ + "entityType": "dataFlow", + "entityUrn": "urn:li:dataFlow:(airflow,basic_iolets,prod)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + } +}, +{ + "entityType": "dataJob", + "entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(airflow,basic_iolets,prod),run_data_task)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + } +}, { "entityType": "dataFlow", "entityUrn": "urn:li:dataFlow:(airflow,basic_iolets,prod)", diff --git a/metadata-ingestion-modules/airflow-plugin/tests/integration/goldens/v2_basic_iolets_no_dag_listener.json b/metadata-ingestion-modules/airflow-plugin/tests/integration/goldens/v2_basic_iolets_no_dag_listener.json index ef55850894bf61..7b1591bdf7308b 100644 --- a/metadata-ingestion-modules/airflow-plugin/tests/integration/goldens/v2_basic_iolets_no_dag_listener.json +++ b/metadata-ingestion-modules/airflow-plugin/tests/integration/goldens/v2_basic_iolets_no_dag_listener.json @@ -57,6 +57,17 @@ } } }, +{ + "entityType": "dataFlow", + "entityUrn": "urn:li:dataFlow:(airflow,basic_iolets,prod)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + } +}, { "entityType": "dataFlow", "entityUrn": "urn:li:dataFlow:(airflow,basic_iolets,prod)", @@ -72,6 +83,17 @@ } } }, +{ + "entityType": "dataJob", + "entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(airflow,basic_iolets,prod),run_data_task)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + } +}, { "entityType": "dataJob", "entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(airflow,basic_iolets,prod),run_data_task)", diff --git a/metadata-ingestion-modules/airflow-plugin/tests/integration/goldens/v2_simple_dag.json b/metadata-ingestion-modules/airflow-plugin/tests/integration/goldens/v2_simple_dag.json index 48f8872d3831fa..0828c5e5aa1f7c 100644 --- a/metadata-ingestion-modules/airflow-plugin/tests/integration/goldens/v2_simple_dag.json +++ b/metadata-ingestion-modules/airflow-plugin/tests/integration/goldens/v2_simple_dag.json @@ -58,6 +58,28 @@ } } }, +{ + "entityType": "dataFlow", + "entityUrn": "urn:li:dataFlow:(airflow,simple_dag,prod)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + } +}, +{ + "entityType": "dataJob", + "entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(airflow,simple_dag,prod),task_1)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + } +}, { "entityType": "dataFlow", "entityUrn": "urn:li:dataFlow:(airflow,simple_dag,prod)", @@ -102,6 +124,17 @@ } } }, +{ + "entityType": "dataJob", + "entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(airflow,simple_dag,prod),run_another_data_task)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + } +}, { "entityType": "dataJob", "entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(airflow,simple_dag,prod),task_1)", diff --git a/metadata-ingestion-modules/airflow-plugin/tests/integration/goldens/v2_simple_dag_no_dag_listener.json b/metadata-ingestion-modules/airflow-plugin/tests/integration/goldens/v2_simple_dag_no_dag_listener.json index 434f4b6eb7a09c..c7cd245cc0f02a 100644 --- a/metadata-ingestion-modules/airflow-plugin/tests/integration/goldens/v2_simple_dag_no_dag_listener.json +++ b/metadata-ingestion-modules/airflow-plugin/tests/integration/goldens/v2_simple_dag_no_dag_listener.json @@ -58,6 +58,17 @@ } } }, +{ + "entityType": "dataFlow", + "entityUrn": "urn:li:dataFlow:(airflow,simple_dag,prod)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + } +}, { "entityType": "dataFlow", "entityUrn": "urn:li:dataFlow:(airflow,simple_dag,prod)", @@ -73,6 +84,17 @@ } } }, +{ + "entityType": "dataJob", + "entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(airflow,simple_dag,prod),task_1)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + } +}, { "entityType": "dataJob", "entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(airflow,simple_dag,prod),task_1)", @@ -102,6 +124,17 @@ } } }, +{ + "entityType": "dataJob", + "entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(airflow,simple_dag,prod),run_another_data_task)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + } +}, { "entityType": "dataJob", "entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(airflow,simple_dag,prod),task_1)", diff --git a/metadata-ingestion-modules/airflow-plugin/tests/integration/goldens/v2_snowflake_operator.json b/metadata-ingestion-modules/airflow-plugin/tests/integration/goldens/v2_snowflake_operator.json index 89464448032b12..b819379395a040 100644 --- a/metadata-ingestion-modules/airflow-plugin/tests/integration/goldens/v2_snowflake_operator.json +++ b/metadata-ingestion-modules/airflow-plugin/tests/integration/goldens/v2_snowflake_operator.json @@ -57,6 +57,28 @@ } } }, +{ + "entityType": "dataFlow", + "entityUrn": "urn:li:dataFlow:(airflow,snowflake_operator,prod)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + } +}, +{ + "entityType": "dataJob", + "entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(airflow,snowflake_operator,prod),transform_cost_table)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + } +}, { "entityType": "dataFlow", "entityUrn": "urn:li:dataFlow:(airflow,snowflake_operator,prod)", diff --git a/metadata-ingestion-modules/airflow-plugin/tests/integration/goldens/v2_sqlite_operator.json b/metadata-ingestion-modules/airflow-plugin/tests/integration/goldens/v2_sqlite_operator.json index b4b97bbb74fae8..e7902d165051b1 100644 --- a/metadata-ingestion-modules/airflow-plugin/tests/integration/goldens/v2_sqlite_operator.json +++ b/metadata-ingestion-modules/airflow-plugin/tests/integration/goldens/v2_sqlite_operator.json @@ -57,6 +57,28 @@ } } }, +{ + "entityType": "dataFlow", + "entityUrn": "urn:li:dataFlow:(airflow,sqlite_operator,prod)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + } +}, +{ + "entityType": "dataJob", + "entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(airflow,sqlite_operator,prod),create_cost_table)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + } +}, { "entityType": "dataFlow", "entityUrn": "urn:li:dataFlow:(airflow,sqlite_operator,prod)", @@ -102,6 +124,39 @@ } } }, +{ + "entityType": "dataJob", + "entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(airflow,sqlite_operator,prod),transform_cost_table)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + } +}, +{ + "entityType": "dataJob", + "entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(airflow,sqlite_operator,prod),cleanup_processed_costs)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + } +}, +{ + "entityType": "dataJob", + "entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(airflow,sqlite_operator,prod),populate_cost_table)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + } +}, { "entityType": "dataJob", "entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(airflow,sqlite_operator,prod),create_cost_table)", @@ -155,6 +210,17 @@ } } }, +{ + "entityType": "dataJob", + "entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(airflow,sqlite_operator,prod),cleanup_costs)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + } +}, { "entityType": "dataset", "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:sqlite,public.costs,PROD)", diff --git a/metadata-ingestion-modules/airflow-plugin/tests/integration/goldens/v2_sqlite_operator_no_dag_listener.json b/metadata-ingestion-modules/airflow-plugin/tests/integration/goldens/v2_sqlite_operator_no_dag_listener.json index d09d4f76e3f02d..a9af068e2e4e93 100644 --- a/metadata-ingestion-modules/airflow-plugin/tests/integration/goldens/v2_sqlite_operator_no_dag_listener.json +++ b/metadata-ingestion-modules/airflow-plugin/tests/integration/goldens/v2_sqlite_operator_no_dag_listener.json @@ -57,6 +57,28 @@ } } }, +{ + "entityType": "dataFlow", + "entityUrn": "urn:li:dataFlow:(airflow,sqlite_operator,prod)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + } +}, +{ + "entityType": "dataJob", + "entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(airflow,sqlite_operator,prod),create_cost_table)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + } +}, { "entityType": "dataFlow", "entityUrn": "urn:li:dataFlow:(airflow,sqlite_operator,prod)", @@ -72,6 +94,28 @@ } } }, +{ + "entityType": "dataJob", + "entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(airflow,sqlite_operator,prod),populate_cost_table)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + } +}, +{ + "entityType": "dataJob", + "entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(airflow,sqlite_operator,prod),transform_cost_table)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + } +}, { "entityType": "dataJob", "entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(airflow,sqlite_operator,prod),create_cost_table)", @@ -154,19 +198,6 @@ } } }, -{ - "entityType": "dataset", - "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:sqlite,public.costs,PROD)", - "changeType": "UPSERT", - "aspectName": "datasetKey", - "aspect": { - "json": { - "platform": "urn:li:dataPlatform:sqlite", - "name": "public.costs", - "origin": "PROD" - } - } -}, { "entityType": "dataJob", "entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(airflow,sqlite_operator,prod),create_cost_table)", @@ -191,6 +222,17 @@ } } }, +{ + "entityType": "dataJob", + "entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(airflow,sqlite_operator,prod),cleanup_costs)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + } +}, { "entityType": "dataset", "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:sqlite,public.costs,PROD)", @@ -204,6 +246,17 @@ } } }, +{ + "entityType": "dataJob", + "entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(airflow,sqlite_operator,prod),cleanup_processed_costs)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + } +}, { "entityType": "dataJob", "entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(airflow,sqlite_operator,prod),create_cost_table)", @@ -261,23 +314,6 @@ } } }, -{ - "entityType": "dataProcessInstance", - "entityUrn": "urn:li:dataProcessInstance:fbeed1180fa0434e02ac6f75ace87869", - "changeType": "UPSERT", - "aspectName": "dataProcessInstanceRunEvent", - "aspect": { - "json": { - "timestampMillis": 1717180072004, - "partitionSpec": { - "type": "FULL_TABLE", - "partition": "FULL_TABLE_SNAPSHOT" - }, - "status": "STARTED", - "attempt": 1 - } - } -}, { "entityType": "dataProcessInstance", "entityUrn": "urn:li:dataProcessInstance:fbeed1180fa0434e02ac6f75ace87869", @@ -292,20 +328,19 @@ } }, { - "entityType": "dataset", - "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:sqlite,public.costs,PROD)", + "entityType": "dataProcessInstance", + "entityUrn": "urn:li:dataProcessInstance:fbeed1180fa0434e02ac6f75ace87869", "changeType": "UPSERT", - "aspectName": "operation", + "aspectName": "dataProcessInstanceRunEvent", "aspect": { "json": { - "timestampMillis": 1718780495946, + "timestampMillis": 1717180072004, "partitionSpec": { "type": "FULL_TABLE", "partition": "FULL_TABLE_SNAPSHOT" }, - "actor": "urn:li:corpuser:airflow", - "operationType": "CREATE", - "lastUpdatedTimestamp": 1718780495946 + "status": "STARTED", + "attempt": 1 } } }, @@ -338,6 +373,24 @@ } } }, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:sqlite,public.costs,PROD)", + "changeType": "UPSERT", + "aspectName": "operation", + "aspect": { + "json": { + "timestampMillis": 1719864194882, + "partitionSpec": { + "type": "FULL_TABLE", + "partition": "FULL_TABLE_SNAPSHOT" + }, + "actor": "urn:li:corpuser:airflow", + "operationType": "CREATE", + "lastUpdatedTimestamp": 1719864194882 + } + } +}, { "entityType": "dataJob", "entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(airflow,sqlite_operator,prod),create_cost_table)", @@ -680,19 +733,6 @@ } } }, -{ - "entityType": "dataProcessInstance", - "entityUrn": "urn:li:dataProcessInstance:04e1badac1eacd1c41123d07f579fa92", - "changeType": "UPSERT", - "aspectName": "dataProcessInstanceOutput", - "aspect": { - "json": { - "outputs": [ - "urn:li:dataset:(urn:li:dataPlatform:sqlite,public.costs,PROD)" - ] - } - } -}, { "entityType": "dataFlow", "entityUrn": "urn:li:dataFlow:(airflow,sqlite_operator,prod)", @@ -892,6 +932,19 @@ } } }, +{ + "entityType": "dataProcessInstance", + "entityUrn": "urn:li:dataProcessInstance:04e1badac1eacd1c41123d07f579fa92", + "changeType": "UPSERT", + "aspectName": "dataProcessInstanceOutput", + "aspect": { + "json": { + "outputs": [ + "urn:li:dataset:(urn:li:dataPlatform:sqlite,public.costs,PROD)" + ] + } + } +}, { "entityType": "dataProcessInstance", "entityUrn": "urn:li:dataProcessInstance:64e5ff8f552e857b607832731e09808b", @@ -1039,19 +1092,6 @@ } } }, -{ - "entityType": "dataset", - "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:sqlite,public.processed_costs,PROD)", - "changeType": "UPSERT", - "aspectName": "datasetKey", - "aspect": { - "json": { - "platform": "urn:li:dataPlatform:sqlite", - "name": "public.processed_costs", - "origin": "PROD" - } - } -}, { "entityType": "dataFlow", "entityUrn": "urn:li:dataFlow:(airflow,sqlite_operator,prod)", @@ -1192,32 +1232,6 @@ } } }, -{ - "entityType": "dataProcessInstance", - "entityUrn": "urn:li:dataProcessInstance:64e5ff8f552e857b607832731e09808b", - "changeType": "UPSERT", - "aspectName": "dataProcessInstanceInput", - "aspect": { - "json": { - "inputs": [ - "urn:li:dataset:(urn:li:dataPlatform:sqlite,public.costs,PROD)" - ] - } - } -}, -{ - "entityType": "dataProcessInstance", - "entityUrn": "urn:li:dataProcessInstance:64e5ff8f552e857b607832731e09808b", - "changeType": "UPSERT", - "aspectName": "dataProcessInstanceOutput", - "aspect": { - "json": { - "outputs": [ - "urn:li:dataset:(urn:li:dataPlatform:sqlite,public.processed_costs,PROD)" - ] - } - } -}, { "entityType": "dataProcessInstance", "entityUrn": "urn:li:dataProcessInstance:07285de22276959612189d51336cc21a", @@ -1281,24 +1295,6 @@ } } }, -{ - "entityType": "dataset", - "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:sqlite,public.processed_costs,PROD)", - "changeType": "UPSERT", - "aspectName": "operation", - "aspect": { - "json": { - "timestampMillis": 1718780501750, - "partitionSpec": { - "type": "FULL_TABLE", - "partition": "FULL_TABLE_SNAPSHOT" - }, - "actor": "urn:li:corpuser:airflow", - "operationType": "CREATE", - "lastUpdatedTimestamp": 1718780501750 - } - } -}, { "entityType": "dataJob", "entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(airflow,sqlite_operator,prod),cleanup_costs)", @@ -1383,6 +1379,19 @@ } } }, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:sqlite,public.processed_costs,PROD)", + "changeType": "UPSERT", + "aspectName": "datasetKey", + "aspect": { + "json": { + "platform": "urn:li:dataPlatform:sqlite", + "name": "public.processed_costs", + "origin": "PROD" + } + } +}, { "entityType": "dataFlow", "entityUrn": "urn:li:dataFlow:(airflow,sqlite_operator,prod)", @@ -1470,6 +1479,19 @@ } } }, +{ + "entityType": "dataProcessInstance", + "entityUrn": "urn:li:dataProcessInstance:64e5ff8f552e857b607832731e09808b", + "changeType": "UPSERT", + "aspectName": "dataProcessInstanceInput", + "aspect": { + "json": { + "inputs": [ + "urn:li:dataset:(urn:li:dataPlatform:sqlite,public.costs,PROD)" + ] + } + } +}, { "entityType": "dataJob", "entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(airflow,sqlite_operator,prod),cleanup_processed_costs)", @@ -1488,6 +1510,19 @@ } } }, +{ + "entityType": "dataProcessInstance", + "entityUrn": "urn:li:dataProcessInstance:64e5ff8f552e857b607832731e09808b", + "changeType": "UPSERT", + "aspectName": "dataProcessInstanceOutput", + "aspect": { + "json": { + "outputs": [ + "urn:li:dataset:(urn:li:dataPlatform:sqlite,public.processed_costs,PROD)" + ] + } + } +}, { "entityType": "dataJob", "entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(airflow,sqlite_operator,prod),cleanup_processed_costs)", @@ -1586,6 +1621,24 @@ } } }, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:sqlite,public.processed_costs,PROD)", + "changeType": "UPSERT", + "aspectName": "operation", + "aspect": { + "json": { + "timestampMillis": 1719864203487, + "partitionSpec": { + "type": "FULL_TABLE", + "partition": "FULL_TABLE_SNAPSHOT" + }, + "actor": "urn:li:corpuser:airflow", + "operationType": "CREATE", + "lastUpdatedTimestamp": 1719864203487 + } + } +}, { "entityType": "dataJob", "entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(airflow,sqlite_operator,prod),cleanup_processed_costs)", diff --git a/metadata-ingestion/docs/dev_guides/classification.md b/metadata-ingestion/docs/dev_guides/classification.md index be7e1e5013318c..f20638a2ab5bde 100644 --- a/metadata-ingestion/docs/dev_guides/classification.md +++ b/metadata-ingestion/docs/dev_guides/classification.md @@ -339,7 +339,7 @@ source: regex: [] library: - spacy - Full_name: + Full_Name: prediction_factors_and_weights: name: 0.3 description: 0 @@ -452,4 +452,4 @@ source: ### DataHub Blog -* [PII Classification just got easier with DataHub](https://blog.datahubproject.io/pii-classification-just-got-easier-with-datahub-6bab2b63abcb) \ No newline at end of file +* [PII Classification just got easier with DataHub](https://blog.datahubproject.io/pii-classification-just-got-easier-with-datahub-6bab2b63abcb) diff --git a/metadata-ingestion/docs/sources/databricks/README.md b/metadata-ingestion/docs/sources/databricks/README.md index 32b0b20c9480b8..a6cf39084c6abe 100644 --- a/metadata-ingestion/docs/sources/databricks/README.md +++ b/metadata-ingestion/docs/sources/databricks/README.md @@ -11,7 +11,7 @@ The alternative way to integrate is via the Hive connector. The [Hive starter re ## Databricks Spark -To complete the picture, we recommend adding push-based ingestion from your Spark jobs to see real-time activity and lineage between your Databricks tables and your Spark jobs. Use the Spark agent to push metadata to DataHub using the instructions [here](../../../../metadata-integration/java/spark-lineage/README.md#configuration-instructions-databricks). +To complete the picture, we recommend adding push-based ingestion from your Spark jobs to see real-time activity and lineage between your Databricks tables and your Spark jobs. Use the Spark agent to push metadata to DataHub using the instructions [here](../../../../metadata-integration/java/spark-lineage-beta/README.md#configuration-instructions-databricks). ## Watch the DataHub Talk at the Data and AI Summit 2022 diff --git a/metadata-ingestion/docs/transformer/dataset_transformer.md b/metadata-ingestion/docs/transformer/dataset_transformer.md index 772a638b6a9487..773a7e8554832d 100644 --- a/metadata-ingestion/docs/transformer/dataset_transformer.md +++ b/metadata-ingestion/docs/transformer/dataset_transformer.md @@ -10,7 +10,7 @@ The below table shows transformer which can transform aspects of entity [Dataset | `ownership` | - [Simple Add Dataset ownership](#simple-add-dataset-ownership)
- [Pattern Add Dataset ownership](#pattern-add-dataset-ownership)
- [Simple Remove Dataset Ownership](#simple-remove-dataset-ownership)
- [Extract Ownership from Tags](#extract-ownership-from-tags)
- [Clean suffix prefix from Ownership](#clean-suffix-prefix-from-ownership) | | `globalTags` | - [Simple Add Dataset globalTags ](#simple-add-dataset-globaltags)
- [Pattern Add Dataset globalTags](#pattern-add-dataset-globaltags)
- [Add Dataset globalTags](#add-dataset-globaltags) | | `browsePaths` | - [Set Dataset browsePath](#set-dataset-browsepath) | -| `glossaryTerms` | - [Simple Add Dataset glossaryTerms ](#simple-add-dataset-glossaryterms)
- [Pattern Add Dataset glossaryTerms](#pattern-add-dataset-glossaryterms) | +| `glossaryTerms` | - [Simple Add Dataset glossaryTerms ](#simple-add-dataset-glossaryterms)
- [Pattern Add Dataset glossaryTerms](#pattern-add-dataset-glossaryterms)
- [Tags to Term Mapping](#tags-to-term-mapping) | | `schemaMetadata` | - [Pattern Add Dataset Schema Field glossaryTerms](#pattern-add-dataset-schema-field-glossaryterms)
- [Pattern Add Dataset Schema Field globalTags](#pattern-add-dataset-schema-field-globaltags) | | `datasetProperties` | - [Simple Add Dataset datasetProperties](#simple-add-dataset-datasetproperties)
- [Add Dataset datasetProperties](#add-dataset-datasetproperties) | | `domains` | - [Simple Add Dataset domains](#simple-add-dataset-domains)
- [Pattern Add Dataset domains](#pattern-add-dataset-domains)
- [Domain Mapping Based on Tags](#domain-mapping-based-on-tags) | @@ -668,6 +668,57 @@ We can add glossary terms to datasets based on a regex filter. ".*example1.*": ["urn:li:glossaryTerm:Email", "urn:li:glossaryTerm:Address"] ".*example2.*": ["urn:li:glossaryTerm:PostalCode"] ``` + +## Tags to Term Mapping +### Config Details + +| Field | Required | Type | Default | Description | +|---------------|----------|--------------------|-------------|-------------------------------------------------------------------------------------------------------| +| `tags` | ✅ | List[str] | | List of tag names based on which terms will be created and associated with the dataset. | +| `semantics` | | enum | "OVERWRITE" | Determines whether to OVERWRITE or PATCH the terms associated with the dataset on DataHub GMS. | + +
+ +The `tags_to_term` transformer is designed to map specific tags to glossary terms within DataHub. It takes a configuration of tags that should be translated into corresponding glossary terms. This transformer can apply these mappings to any tags found either at the column level of a dataset or at the dataset top level. + +When specifying tags in the configuration, use the tag's simple name rather than the full tag URN. + +For example, instead of using the tag URN `urn:li:tag:snowflakedb.snowflakeschema.tag_name:tag_value`, you should specify just the tag name `tag_name` in the mapping configuration. + +```yaml +transformers: + - type: "tags_to_term" + config: + semantics: OVERWRITE # OVERWRITE is the default behavior + tags: + - "tag_name" +``` + +The `tags_to_term` transformer can be configured in the following ways: + +- Add terms based on tags, however overwrite the terms available for the dataset on DataHub GMS +```yaml + transformers: + - type: "tags_to_term" + config: + semantics: OVERWRITE # OVERWRITE is default behaviour + tags: + - "example1" + - "example2" + - "example3" + ``` +- Add terms based on tags, however keep the terms available for the dataset on DataHub GMS +```yaml + transformers: + - type: "tags_to_term" + config: + semantics: PATCH + tags: + - "example1" + - "example2" + - "example3" + ``` + ## Pattern Add Dataset Schema Field glossaryTerms ### Config Details | Field | Required | Type | Default | Description | diff --git a/metadata-ingestion/examples/bootstrap_data/banking_business_glossary.yaml b/metadata-ingestion/examples/bootstrap_data/banking_business_glossary.yaml new file mode 100644 index 00000000000000..d0fea81748da57 --- /dev/null +++ b/metadata-ingestion/examples/bootstrap_data/banking_business_glossary.yaml @@ -0,0 +1,71 @@ +version: 1 +source: DataHub +owners: + users: + - mjames +url: "https://github.com/datahub-project/datahub/" +nodes: + - name: FinTech Business Glossary + description: "FinTech Business Glossary" + nodes: + - name: Account + description: "A record of financial transactions and balances associated with a specific customer or entity." + terms: + - name: Savings Account + description: "A type of deposit account that allows customers to deposit and withdraw funds while earning interest on their balance." + custom_properties: + scope: banking + inherits: + - Banking.Deposit + - Banking.Withdrawal + - name: Checking Account + description: "A type of deposit account that enables customers to deposit and withdraw funds, often used for everyday transactions." + domain: "urn:li:domain:banking" + custom_properties: + scope: banking + inherits: + - Banking.Deposit + - Banking.Withdrawal + - name: Regulatory and Compliance + description: "Regulatory and compliance" + owners: + groups: + - complianceOrg + knowledge_links: + - label: Definition for Regulatory and Compliance + url: "https://www.metricstream.com/learn/comprehensive-guide-to-regulatory-compliance.htm" + terms: + - name: Compliance + description: "The adherence to laws, regulations, and internal policies governing the operations of financial institutions." + domain: "urn:li:domain:compliance" + - name: KYC (Know Your Customer) + description: "The process of verifying the identity of customers to prevent fraud." + domain: "urn:li:domain:compliance" + - name: AML (Anti-Money Laundering) + description: "Regulations and procedures designed to detect and prevent the illegal movement of money through financial systems." + domain: "urn:li:domain:compliance" + - name: Banking + description: "Banking" + owners: + users: + - jsmith + terms: + - name: Deposit + description: "The act of placing money into a bank account." + - name: Withdrawal + description: "The removal of funds from a bank account, either by cash withdrawal or electronic transfer." + - name: Transfer + description: "The movement of funds from one account to another, either within the same financial institution or between different institutions." + - name: Overdraft + description: "A negative balance in a bank account resulting from withdrawing more money than is available, often subject to overdraft fees." + - name: Loan + description: "A sum of money borrowed by an individual or entity from a lender, typically repaid with interest over a specified period." + terms: + - name: Mortgage + description: "A type of loan used to finance the purchase of real estate, with the property serving as collateral for the loan." + - name: Personal Loan + description: "A type of loan issued to individuals for various personal expenses, such as debt consolidation, home improvements, or medical bills." + - name: Auto Loan + description: "A type of loan used to finance the purchase of a vehicle, with the vehicle serving as collateral for the loan." + - name: Interest Rate + description: "The rate at which interest is charged on a loan or paid on an investment, expressed as a percentage of the principal amount." \ No newline at end of file diff --git a/metadata-ingestion/examples/bootstrap_data/ecommerce_business_glossary.yaml b/metadata-ingestion/examples/bootstrap_data/ecommerce_business_glossary.yaml new file mode 100644 index 00000000000000..399c925290a830 --- /dev/null +++ b/metadata-ingestion/examples/bootstrap_data/ecommerce_business_glossary.yaml @@ -0,0 +1,112 @@ +version: 1 +source: DataHub +owners: + users: + - mjames +url: "https://github.com/datahub-project/datahub/" +nodes: + - name: E-Commerce Business Glossary + description: "E-Commerce Business Glossary" + nodes: + - name: Customer + description: "A person or entity who purchases products or services from the e-commerce platform." + terms: + - name: User + description: "An individual who interacts with the e-commerce website or application, including both customers and visitors." + inherits: + - Classification.Confidential + custom_properties: + is_confidential: true + - name: Account + description: "A registered user's profile on the e-commerce platform, which includes personal information, order history, and preferences." + domain: Customer Success + inherits: + - Classification.Confidential + custom_properties: + is_confidential: true + - name: Product + description: "Items or services available for sale on the e-commerce platform." + owners: + users: + - mjames + terms: + - name: SKU + description: "A unique identifier assigned to each product to track inventory and sales." + owners: + groups: + - categoryManagement + - name: Inventory + description: "The quantity of products available for sale." + - name: Product Description + description: "Information about a product, including specifications, features, and usage instructions." + - name: Order + description: "A request made by a customer to purchase one or more products." + owners: + users: + - njones + groups: + - logistics + terms: + - name: Cart + description: "A virtual container where customers can add products before proceeding to checkout." + contains: + - Shipping.ZipCode + - Shipping.CountryCode + - Shipping.StreetAddress + domain: "urn:li:domain:Logistics" + - name: Checkout + description: "The process of finalizing and paying for an order." + - name: Payment + description: "The transfer of funds from the customer to the e-commerce company for a purchase." + inherits: + - Classification.HighlyConfidential + - name: Shipping + description: "The process of delivering purchased products to customers." + knowledge_links: + - label: Wiki link for shipping + url: "https://en.wikipedia.org/wiki/Freight_transport" + terms: + - name: ZipCode + description: "Zip code for order" + domain: "urn:li:domain:Logistics" + - name: CountryCode + description: "Country code for order" + domain: "urn:li:domain:Logistics" + - name: StreetAddress + description: "Street address for order" + domain: "urn:li:domain:Logistics" + custom_properties: + is_used_for_compliance_tracking: true + knowledge_links: + - url: "https://en.wikipedia.org/wiki/Address" + label: Wiki link + - name: Privacy Regulations + description: "Standards and best practices for security." + owners: + groups: + - compliance + terms: + - name: GDPR + description: "European Union regulations that govern the collection, use, and protection of personal data." + term_source: "EXTERNAL" + source_ref: FIBO + source_url: "https://gdpr-info.eu/" + - name: CCPA + description: "California Consumer Privacy Act" + term_source: "EXTERNAL" + source_ref: FIBO + source_url: "https://oag.ca.gov/privacy/ccpa" + - name: Privacy Policy + description: "A statement outlining how the e-commerce company collects, uses, and protects customer information." + term_source: "EXTERNAL" + source_ref: FIBO + source_url: "https://en.wikipedia.org/wiki/Privacy_policy" + - name: Classification + description: "A set of terms related to Data Classification" + terms: + - name: Confidential + description: "Confidential Data" + - name: HighlyConfidential + description: "Highly Confidential Data" + - name: Sensitive + description: "Sensitive Data" diff --git a/metadata-ingestion/examples/bootstrap_data/healthcare_business_glossary.yaml b/metadata-ingestion/examples/bootstrap_data/healthcare_business_glossary.yaml new file mode 100644 index 00000000000000..15a6f1b214408e --- /dev/null +++ b/metadata-ingestion/examples/bootstrap_data/healthcare_business_glossary.yaml @@ -0,0 +1,51 @@ +version: 1 +source: DataHub +url: "https://github.com/datahub-project/datahub/" +nodes: + - name: Patient + description: "An individual receiving medical treatment or care from a healthcare provider." + terms: + - name: Age + description: "The age of the patient." + inherits: + - Classification.HighlyConfidential + - name: Gender + description: "The gender of the patient." + inherits: + - Classification.HighlyConfidential + - name: Name + description: "The name of the patient." + inherits: + - Classification.Confidential + - name: HealthcareProvider + description: "An individual or organization that delivers healthcare services, including hospitals, clinics, physicians, nurses, and other medical professionals." + terms: + - name: Primary Care Physician (PCP) + description: "A healthcare provider who serves as a patient's main point of contact for medical care, including preventive services, diagnosis, and treatment of common illnesses." + - name: Specialist + description: "A healthcare provider who focuses on a specific area of medicine or healthcare, such as cardiology, dermatology, or orthopedics." + - name: Nurse Practitioner (NP) + description: "A registered nurse with advanced education and training, authorized to perform physical exams, order diagnostic tests, and prescribe medications." + - name: Billing + description: "The process of submitting and following up on claims with health insurance companies to receive payment for healthcare services provided to patients." + terms: + - name: Medical Coding + description: "The transformation of healthcare diagnoses, procedures, medical services, and equipment into universal medical alphanumeric codes for billing and reporting purposes." + domain: "urn:li:domain:billing" + - name: Health Information Exchange (HIE) + description: "The electronic sharing of health-related information among healthcare organizations, allowing secure access to patient data across different systems and providers." + domain: "urn:li:domain:billing" + - name: Patient Portal + description: "An online platform that allows patients to access their medical records, schedule appointments, communicate with healthcare providers, and manage their healthcare information securely." + domain: "urn:li:domain:billing" + contains: + - Patient.Name + - name: Classification + description: "A set of terms related to Data Classification" + terms: + - name: Confidential + description: "Confidential Data" + - name: HighlyConfidential + description: "Highly Confidential Data" + - name: Sensitive + description: "Sensitive Data" diff --git a/metadata-ingestion/examples/library/create_form.py b/metadata-ingestion/examples/library/create_form.py new file mode 100644 index 00000000000000..3ba545ead3ed88 --- /dev/null +++ b/metadata-ingestion/examples/library/create_form.py @@ -0,0 +1,56 @@ +import logging + +from datahub.emitter.mcp import MetadataChangeProposalWrapper +from datahub.emitter.rest_emitter import DatahubRestEmitter + +# Imports for metadata model classes +from datahub.metadata.schema_classes import ( + FormActorAssignmentClass, + FormInfoClass, + FormPromptClass, + FormPromptTypeClass, + FormTypeClass, + StructuredPropertyParamsClass, +) +from datahub.metadata.urns import FormUrn + +log = logging.getLogger(__name__) +logging.basicConfig(level=logging.INFO) + +# define the prompts for our form +prompt_1 = FormPromptClass( + id="1", # ensure IDs are globally unique + title="First Prompt", + type=FormPromptTypeClass.STRUCTURED_PROPERTY, # structured property type prompt + structuredPropertyParams=StructuredPropertyParamsClass( + urn="urn:li:structuredProperty:property1" + ), # reference existing structured property + required=True, +) +prompt_2 = FormPromptClass( + id="2", # ensure IDs are globally unique + title="Second Prompt", + type=FormPromptTypeClass.FIELDS_STRUCTURED_PROPERTY, # structured property prompt on dataset schema fields + structuredPropertyParams=StructuredPropertyParamsClass( + urn="urn:li:structuredProperty:property1" + ), + required=False, # dataset schema fields prompts should not be required +) + +form_urn = FormUrn("metadata_initiative_1") +form_info_aspect = FormInfoClass( + name="Metadata Initiative 2024", + description="Please respond to this form for metadata compliance purposes", + type=FormTypeClass.VERIFICATION, + actors=FormActorAssignmentClass(owners=True), + prompts=[prompt_1, prompt_2], +) + +event: MetadataChangeProposalWrapper = MetadataChangeProposalWrapper( + entityUrn=str(form_urn), + aspect=form_info_aspect, +) + +# Create rest emitter +rest_emitter = DatahubRestEmitter(gms_server="http://localhost:8080") +rest_emitter.emit(event) diff --git a/metadata-ingestion/examples/library/dataset_add_structured_properties.py b/metadata-ingestion/examples/library/dataset_add_structured_properties.py new file mode 100644 index 00000000000000..fc2c3793405927 --- /dev/null +++ b/metadata-ingestion/examples/library/dataset_add_structured_properties.py @@ -0,0 +1,24 @@ +import logging + +from datahub.emitter.mce_builder import make_dataset_urn +from datahub.emitter.rest_emitter import DataHubRestEmitter +from datahub.specific.dataset import DatasetPatchBuilder + +log = logging.getLogger(__name__) +logging.basicConfig(level=logging.INFO) + +# Create rest emitter +rest_emitter = DataHubRestEmitter(gms_server="http://localhost:8080") + +dataset_urn = make_dataset_urn(platform="hive", name="fct_users_created", env="PROD") + + +for patch_mcp in ( + DatasetPatchBuilder(dataset_urn) + .add_structured_property("io.acryl.dataManagement.replicationSLA", 12) + .build() +): + rest_emitter.emit(patch_mcp) + + +log.info(f"Added cluster_name, retention_time properties to dataset {dataset_urn}") diff --git a/metadata-ingestion/examples/library/dataset_remove_structured_properties.py b/metadata-ingestion/examples/library/dataset_remove_structured_properties.py new file mode 100644 index 00000000000000..d9f3c50464db21 --- /dev/null +++ b/metadata-ingestion/examples/library/dataset_remove_structured_properties.py @@ -0,0 +1,24 @@ +import logging + +from datahub.emitter.mce_builder import make_dataset_urn +from datahub.emitter.rest_emitter import DataHubRestEmitter +from datahub.specific.dataset import DatasetPatchBuilder + +log = logging.getLogger(__name__) +logging.basicConfig(level=logging.INFO) + +# Create rest emitter +rest_emitter = DataHubRestEmitter(gms_server="http://localhost:8080") + +dataset_urn = make_dataset_urn(platform="hive", name="fct_users_created", env="PROD") + + +for patch_mcp in ( + DatasetPatchBuilder(dataset_urn) + .remove_structured_property("io.acryl.dataManagement.replicationSLA") + .build() +): + rest_emitter.emit(patch_mcp) + + +log.info(f"Added cluster_name, retention_time properties to dataset {dataset_urn}") diff --git a/metadata-ingestion/examples/library/dataset_update_structured_properties.py b/metadata-ingestion/examples/library/dataset_update_structured_properties.py new file mode 100644 index 00000000000000..c0a2a5a9f6b6b0 --- /dev/null +++ b/metadata-ingestion/examples/library/dataset_update_structured_properties.py @@ -0,0 +1,24 @@ +import logging + +from datahub.emitter.mce_builder import make_dataset_urn +from datahub.emitter.rest_emitter import DataHubRestEmitter +from datahub.specific.dataset import DatasetPatchBuilder + +log = logging.getLogger(__name__) +logging.basicConfig(level=logging.INFO) + +# Create rest emitter +rest_emitter = DataHubRestEmitter(gms_server="http://localhost:8080") + +dataset_urn = make_dataset_urn(platform="hive", name="fct_users_created", env="PROD") + + +for patch_mcp in ( + DatasetPatchBuilder(dataset_urn) + .set_structured_property("io.acryl.dataManagement.replicationSLA", 120) + .build() +): + rest_emitter.emit(patch_mcp) + + +log.info(f"Added cluster_name, retention_time properties to dataset {dataset_urn}") diff --git a/metadata-ingestion/examples/library/delete_form.py b/metadata-ingestion/examples/library/delete_form.py new file mode 100644 index 00000000000000..189e80435fcf01 --- /dev/null +++ b/metadata-ingestion/examples/library/delete_form.py @@ -0,0 +1,22 @@ +import logging + +from datahub.ingestion.graph.client import DatahubClientConfig, DataHubGraph +from datahub.metadata.urns import FormUrn + +log = logging.getLogger(__name__) +logging.basicConfig(level=logging.INFO) + +graph = DataHubGraph( + config=DatahubClientConfig( + server="http://localhost:8080", + ) +) + +form_urn = FormUrn("metadata_initiative_1") + +# Hard delete the form +graph.delete_entity(urn=str(form_urn), hard=True) +# Delete references to this form (must do) +graph.delete_references_to_urn(urn=str(form_urn), dry_run=False) + +log.info(f"Deleted form {form_urn}") diff --git a/metadata-ingestion/examples/library/update_form.py b/metadata-ingestion/examples/library/update_form.py new file mode 100644 index 00000000000000..b7ae2a3003af98 --- /dev/null +++ b/metadata-ingestion/examples/library/update_form.py @@ -0,0 +1,78 @@ +import logging +from typing import Union + +from datahub.configuration.kafka import KafkaProducerConnectionConfig +from datahub.emitter.kafka_emitter import DatahubKafkaEmitter, KafkaEmitterConfig +from datahub.emitter.rest_emitter import DataHubRestEmitter +from datahub.metadata.schema_classes import ( + FormPromptClass, + FormPromptTypeClass, + FormTypeClass, + OwnerClass, + OwnershipTypeClass, + StructuredPropertyParamsClass, +) +from datahub.metadata.urns import FormUrn +from datahub.specific.form import FormPatchBuilder + +log = logging.getLogger(__name__) +logging.basicConfig(level=logging.INFO) + + +# Get an emitter, either REST or Kafka, this example shows you both +def get_emitter() -> Union[DataHubRestEmitter, DatahubKafkaEmitter]: + USE_REST_EMITTER = True + if USE_REST_EMITTER: + gms_endpoint = "http://localhost:8080" + return DataHubRestEmitter(gms_server=gms_endpoint) + else: + kafka_server = "localhost:9092" + schema_registry_url = "http://localhost:8081" + return DatahubKafkaEmitter( + config=KafkaEmitterConfig( + connection=KafkaProducerConnectionConfig( + bootstrap=kafka_server, schema_registry_url=schema_registry_url + ) + ) + ) + + +# input your unique form ID +form_urn = FormUrn("metadata_initiative_1") + +# example prompts to add, must reference an existing structured property +new_prompt = FormPromptClass( + id="abcd", + title="title", + type=FormPromptTypeClass.STRUCTURED_PROPERTY, + structuredPropertyParams=StructuredPropertyParamsClass( + "urn:li:structuredProperty:io.acryl.test" + ), + required=True, +) +new_prompt2 = FormPromptClass( + id="1234", + title="title", + type=FormPromptTypeClass.FIELDS_STRUCTURED_PROPERTY, + structuredPropertyParams=StructuredPropertyParamsClass( + "urn:li:structuredProperty:io.acryl.test" + ), + required=True, +) + +with get_emitter() as emitter: + for patch_mcp in ( + FormPatchBuilder(str(form_urn)) + .add_owner( + OwnerClass( + owner="urn:li:corpuser:jdoe", type=OwnershipTypeClass.TECHNICAL_OWNER + ) + ) + .set_name("New Name") + .set_description("New description here") + .set_type(FormTypeClass.VERIFICATION) + .set_ownership_form(True) + .add_prompts([new_prompt, new_prompt2]) + .build() + ): + emitter.emit(patch_mcp) diff --git a/metadata-ingestion/examples/structured_properties/create_structured_property.py b/metadata-ingestion/examples/structured_properties/create_structured_property.py new file mode 100644 index 00000000000000..e66ac3aec41221 --- /dev/null +++ b/metadata-ingestion/examples/structured_properties/create_structured_property.py @@ -0,0 +1,98 @@ +import logging + +from datahub.emitter.mcp import MetadataChangeProposalWrapper +from datahub.emitter.rest_emitter import DatahubRestEmitter + +# Imports for metadata model classes +from datahub.metadata.schema_classes import ( + PropertyValueClass, + StructuredPropertyDefinitionClass, +) +from datahub.metadata.urns import StructuredPropertyUrn + +log = logging.getLogger(__name__) +logging.basicConfig(level=logging.INFO) + +# Create rest emitter +rest_emitter = DatahubRestEmitter(gms_server="http://localhost:8080") + +# first, let's make an open ended structured property that allows one text value +text_property_urn = StructuredPropertyUrn("openTextProperty") +text_property_definition = StructuredPropertyDefinitionClass( + qualifiedName="io.acryl.openTextProperty", + displayName="Open Text Property", + valueType="urn:li:dataType:datahub.string", + cardinality="SINGLE", + entityTypes=[ + "urn:li:entityType:datahub.dataset", + "urn:li:entityType:datahub.container", + ], + description="This structured property allows a signle open ended response as a value", + immutable=False, +) + +event_prop_1: MetadataChangeProposalWrapper = MetadataChangeProposalWrapper( + entityUrn=str(text_property_urn), + aspect=text_property_definition, +) +rest_emitter.emit(event_prop_1) + +# next, let's make a property that allows for multiple datahub entity urns as values +# This example property could be used to reference other users or groups in datahub +urn_property_urn = StructuredPropertyUrn("dataSteward") +urn_property_definition = StructuredPropertyDefinitionClass( + qualifiedName="io.acryl.dataManagement.dataSteward", + displayName="Data Steward", + valueType="urn:li:dataType:datahub.urn", + cardinality="MULTIPLE", + entityTypes=["urn:li:entityType:datahub.dataset"], + description="The data stewards of this asset are in charge of ensuring data cleanliness and governance", + immutable=True, + typeQualifier={ + "allowedTypes": [ + "urn:li:entityType:datahub.corpuser", + "urn:li:entityType:datahub.corpGroup", + ] + }, # this line ensures only user or group urns can be assigned as values +) + +event_prop_2: MetadataChangeProposalWrapper = MetadataChangeProposalWrapper( + entityUrn=str(urn_property_urn), + aspect=urn_property_definition, +) +rest_emitter.emit(event_prop_2) + +# finally, let's make a single select number property with a few allowed options +number_property_urn = StructuredPropertyUrn("replicationSLA") +number_property_definition = StructuredPropertyDefinitionClass( + qualifiedName="io.acryl.dataManagement.replicationSLA", + displayName="Retention Time", + valueType="urn:li:dataType:datahub.number", + cardinality="SINGLE", + entityTypes=[ + "urn:li:entityType:datahub.dataset", + "urn:li:entityType:datahub.dataFlow", + ], + description="SLA for how long data can be delayed before replicating to the destination cluster", + immutable=False, + allowedValues=[ + PropertyValueClass( + value=30, + description="30 days, usually reserved for datasets that are ephemeral and contain pii", + ), + PropertyValueClass( + value=90, + description="Use this for datasets that drive monthly reporting but contain pii", + ), + PropertyValueClass( + value=365, + description="Use this for non-sensitive data that can be retained for longer", + ), + ], +) + +event_prop_3: MetadataChangeProposalWrapper = MetadataChangeProposalWrapper( + entityUrn=str(number_property_urn), + aspect=number_property_definition, +) +rest_emitter.emit(event_prop_3) diff --git a/metadata-ingestion/examples/structured_properties/update_structured_property.py b/metadata-ingestion/examples/structured_properties/update_structured_property.py new file mode 100644 index 00000000000000..9b80ebc236d8b6 --- /dev/null +++ b/metadata-ingestion/examples/structured_properties/update_structured_property.py @@ -0,0 +1,43 @@ +import logging +from typing import Union + +from datahub.configuration.kafka import KafkaProducerConnectionConfig +from datahub.emitter.kafka_emitter import DatahubKafkaEmitter, KafkaEmitterConfig +from datahub.emitter.rest_emitter import DataHubRestEmitter +from datahub.metadata.urns import StructuredPropertyUrn +from datahub.specific.structured_property import StructuredPropertyPatchBuilder + +log = logging.getLogger(__name__) +logging.basicConfig(level=logging.INFO) + + +# Get an emitter, either REST or Kafka, this example shows you both +def get_emitter() -> Union[DataHubRestEmitter, DatahubKafkaEmitter]: + USE_REST_EMITTER = True + if USE_REST_EMITTER: + gms_endpoint = "http://localhost:8080" + return DataHubRestEmitter(gms_server=gms_endpoint) + else: + kafka_server = "localhost:9092" + schema_registry_url = "http://localhost:8081" + return DatahubKafkaEmitter( + config=KafkaEmitterConfig( + connection=KafkaProducerConnectionConfig( + bootstrap=kafka_server, schema_registry_url=schema_registry_url + ) + ) + ) + + +# input your unique structured property ID +property_urn = StructuredPropertyUrn("dataSteward") + +with get_emitter() as emitter: + for patch_mcp in ( + StructuredPropertyPatchBuilder(str(property_urn)) + .set_display_name("test display name") + .set_cardinality("MULTIPLE") + .add_entity_type("urn:li:entityType:datahub.dataJob") + .build() + ): + emitter.emit(patch_mcp) diff --git a/metadata-ingestion/scripts/avro_codegen.py b/metadata-ingestion/scripts/avro_codegen.py index cf87b303643d11..5be8b6ed4cc210 100644 --- a/metadata-ingestion/scripts/avro_codegen.py +++ b/metadata-ingestion/scripts/avro_codegen.py @@ -580,7 +580,7 @@ def generate_urn_class(entity_type: str, key_aspect: dict) -> str: init_coercion = "" init_validation = "" for field in fields: - init_validation += f'if not {field_name(field)}:\n raise InvalidUrnError("{field_name(field)} cannot be empty")\n' + init_validation += f'if not {field_name(field)}:\n raise InvalidUrnError("{class_name} {field_name(field)} cannot be empty")\n' # Generalized mechanism for validating embedded urns. field_urn_type_class = None @@ -600,7 +600,8 @@ def generate_urn_class(entity_type: str, key_aspect: dict) -> str: ) else: init_validation += ( - f"assert not UrnEncoder.contains_reserved_char({field_name(field)})\n" + f"if UrnEncoder.contains_reserved_char({field_name(field)}):\n" + f" raise InvalidUrnError(f'{class_name} {field_name(field)} contains reserved characters')\n" ) if field_name(field) == "env": diff --git a/metadata-ingestion/scripts/install_deps.sh b/metadata-ingestion/scripts/install_deps.sh index bae0278056ebbd..80a07cb04cb447 100755 --- a/metadata-ingestion/scripts/install_deps.sh +++ b/metadata-ingestion/scripts/install_deps.sh @@ -18,7 +18,8 @@ else sqlite-devel \ xz-devel \ libxml2-devel \ - libxslt-devel + libxslt-devel \ + krb5-devel else $sudo_cmd apt-get update && $sudo_cmd apt-get install -y \ python3-ldap \ diff --git a/metadata-ingestion/setup.py b/metadata-ingestion/setup.py index 68292aea61c26a..9f395bca2e2ca7 100644 --- a/metadata-ingestion/setup.py +++ b/metadata-ingestion/setup.py @@ -103,7 +103,7 @@ } classification_lib = { - "acryl-datahub-classify==0.0.10", + "acryl-datahub-classify==0.0.11", # This is a bit of a hack. Because we download the SpaCy model at runtime in the classify plugin, # we need pip to be available. "pip", @@ -163,9 +163,9 @@ # LookML files with spaces between an item and the following comma. # See https://github.com/joshtemple/lkml/issues/73. "lkml>=1.3.4", - "sql-metadata==2.2.2", - *sqllineage_lib, + *sqlglot_lib, "GitPython>2", + "python-liquid", } bigquery_common = { @@ -351,6 +351,7 @@ "feast": { "feast>=0.34.0,<1", "flask-openid>=1.3.0", + "dask[dataframe]<2024.7.0", }, "glue": aws_common, # hdbcli is supported officially by SAP, sqlalchemy-hana is built on top but not officially supported @@ -418,6 +419,7 @@ "salesforce": {"simple-salesforce"}, "snowflake": snowflake_common | usage_common | sqlglot_lib, "snowflake-summary": snowflake_common | usage_common | sqlglot_lib, + "snowflake-queries": snowflake_common | usage_common | sqlglot_lib, "sqlalchemy": sql_common, "sql-queries": usage_common | sqlglot_lib, "slack": slack, @@ -520,7 +522,7 @@ "flake8-tidy-imports>=4.3.0", "flake8-bugbear==23.3.12", "isort>=5.7.0", - "mypy==1.0.0", + "mypy==1.10.1", *test_api_requirements, pytest_dep, "pytest-asyncio>=0.16.0", @@ -670,6 +672,7 @@ "slack = datahub.ingestion.source.slack.slack:SlackSource", "snowflake = datahub.ingestion.source.snowflake.snowflake_v2:SnowflakeV2Source", "snowflake-summary = datahub.ingestion.source.snowflake.snowflake_summary:SnowflakeSummarySource", + "snowflake-queries = datahub.ingestion.source.snowflake.snowflake_queries:SnowflakeQueriesSource", "superset = datahub.ingestion.source.superset:SupersetSource", "tableau = datahub.ingestion.source.tableau:TableauSource", "openapi = datahub.ingestion.source.openapi:OpenApiSource", @@ -725,6 +728,7 @@ "replace_external_url = datahub.ingestion.transformer.replace_external_url:ReplaceExternalUrl", "pattern_cleanup_dataset_usage_user = datahub.ingestion.transformer.pattern_cleanup_dataset_usage_user:PatternCleanupDatasetUsageUser", "domain_mapping_based_on_tags = datahub.ingestion.transformer.dataset_domain_based_on_tags:DatasetTagDomainMapper", + "tags_to_term = datahub.ingestion.transformer.tags_to_terms:TagsToTermMapper", ], "datahub.ingestion.sink.plugins": [ "file = datahub.ingestion.sink.file:FileSink", @@ -743,6 +747,11 @@ "file = datahub.ingestion.reporting.file_reporter:FileReporter", ], "datahub.custom_packages": [], + "datahub.fs.plugins": [ + "s3 = datahub.ingestion.fs.s3_fs:S3FileSystem", + "file = datahub.ingestion.fs.local_fs:LocalFileSystem", + "http = datahub.ingestion.fs.http_fs:HttpFileSystem", + ], } diff --git a/metadata-ingestion/src/datahub/cli/cli_utils.py b/metadata-ingestion/src/datahub/cli/cli_utils.py index 1bb3b01e078dd9..52aa3cb89d1da4 100644 --- a/metadata-ingestion/src/datahub/cli/cli_utils.py +++ b/metadata-ingestion/src/datahub/cli/cli_utils.py @@ -13,11 +13,17 @@ from requests.models import Response from requests.sessions import Session +import datahub from datahub.cli import config_utils from datahub.emitter.aspect import ASPECT_MAP, TIMESERIES_ASPECT_MAP +from datahub.emitter.mcp import MetadataChangeProposalWrapper from datahub.emitter.request_helper import make_curl_command from datahub.emitter.serialization_helper import post_json_transform -from datahub.metadata.schema_classes import _Aspect +from datahub.metadata.com.linkedin.pegasus2avro.mxe import ( + MetadataChangeEvent, + MetadataChangeProposal, +) +from datahub.metadata.schema_classes import SystemMetadataClass, _Aspect from datahub.utilities.urns.urn import Urn, guess_entity_type log = logging.getLogger(__name__) @@ -522,6 +528,7 @@ def get_aspects_for_entity( aspects: List[str], typed: bool = False, cached_session_host: Optional[Tuple[Session, str]] = None, + details: bool = False, ) -> Dict[str, Union[dict, _Aspect]]: # Process non-timeseries aspects non_timeseries_aspects = [a for a in aspects if a not in TIMESERIES_ASPECT_MAP] @@ -553,7 +560,12 @@ def get_aspects_for_entity( aspect_name ) - aspect_dict = a["value"] + if details: + aspect_dict = a + for k in ["name", "version", "type"]: + del aspect_dict[k] + else: + aspect_dict = a["value"] if not typed: aspect_map[aspect_name] = aspect_dict elif aspect_py_class: @@ -683,3 +695,18 @@ def generate_access_token( return token_name, response.json().get("data", {}).get("createAccessToken", {}).get( "accessToken", None ) + + +def ensure_has_system_metadata( + event: Union[ + MetadataChangeProposal, MetadataChangeProposalWrapper, MetadataChangeEvent + ] +) -> None: + if event.systemMetadata is None: + event.systemMetadata = SystemMetadataClass() + metadata = event.systemMetadata + if metadata.properties is None: + metadata.properties = {} + props = metadata.properties + props["clientId"] = datahub.__package_name__ + props["clientVersion"] = datahub.__version__ diff --git a/metadata-ingestion/src/datahub/cli/get_cli.py b/metadata-ingestion/src/datahub/cli/get_cli.py index 6b779f8565a7f3..46e2fdf5b1f79f 100644 --- a/metadata-ingestion/src/datahub/cli/get_cli.py +++ b/metadata-ingestion/src/datahub/cli/get_cli.py @@ -21,10 +21,17 @@ def get() -> None: @get.command() @click.option("--urn", required=False, type=str) @click.option("-a", "--aspect", required=False, multiple=True, type=str) +@click.option( + "--details/--no-details", + required=False, + is_flag=True, + default=False, + help="Whether to print details from database which help in audit.", +) @click.pass_context @upgrade.check_upgrade @telemetry.with_telemetry() -def urn(ctx: Any, urn: Optional[str], aspect: List[str]) -> None: +def urn(ctx: Any, urn: Optional[str], aspect: List[str], details: bool) -> None: """ Get metadata for an entity with an optional list of aspects to project. This works for both versioned aspects and timeseries aspects. For timeseries aspects, it fetches the latest value. @@ -39,7 +46,9 @@ def urn(ctx: Any, urn: Optional[str], aspect: List[str]) -> None: logger.debug(f"Using urn from args {urn}") click.echo( json.dumps( - get_aspects_for_entity(entity_urn=urn, aspects=aspect, typed=False), + get_aspects_for_entity( + entity_urn=urn, aspects=aspect, typed=False, details=details + ), sort_keys=True, indent=2, ) diff --git a/metadata-ingestion/src/datahub/cli/json_file.py b/metadata-ingestion/src/datahub/cli/json_file.py index c3d7a85d722e2d..8fb3ea46c64e81 100644 --- a/metadata-ingestion/src/datahub/cli/json_file.py +++ b/metadata-ingestion/src/datahub/cli/json_file.py @@ -9,14 +9,13 @@ def check_mce_file(filepath: str) -> str: mce_source = GenericFileSource.create({"filename": filepath}, None) for _ in mce_source.get_workunits(): pass - if mce_source.get_report().failures: + if len(mce_source.get_report().failures): # raise the first failure found logger.error( f"Event file check failed with errors. Raising first error found. Full report {mce_source.get_report().as_string()}" ) - for failure_list in mce_source.get_report().failures.values(): - if len(failure_list): - raise Exception(failure_list[0]) + for failure in mce_source.get_report().failures: + raise Exception(failure.context) raise Exception( f"Failed to process file due to {mce_source.get_report().failures}" ) diff --git a/metadata-ingestion/src/datahub/emitter/mce_builder.py b/metadata-ingestion/src/datahub/emitter/mce_builder.py index 545cf755a6fc02..31c7518152ef22 100644 --- a/metadata-ingestion/src/datahub/emitter/mce_builder.py +++ b/metadata-ingestion/src/datahub/emitter/mce_builder.py @@ -476,7 +476,7 @@ def get_or_add_aspect(mce: MetadataChangeEventClass, default: Aspect) -> Aspect: def make_global_tag_aspect_with_tag_list(tags: List[str]) -> GlobalTagsClass: return GlobalTagsClass( - tags=[TagAssociationClass(f"urn:li:tag:{tag}") for tag in tags] + tags=[TagAssociationClass(make_tag_urn(tag)) for tag in tags] ) diff --git a/metadata-ingestion/src/datahub/emitter/rest_emitter.py b/metadata-ingestion/src/datahub/emitter/rest_emitter.py index e6257796aa4c4e..bb639339427d91 100644 --- a/metadata-ingestion/src/datahub/emitter/rest_emitter.py +++ b/metadata-ingestion/src/datahub/emitter/rest_emitter.py @@ -10,7 +10,11 @@ from requests.adapters import HTTPAdapter, Retry from requests.exceptions import HTTPError, RequestException -from datahub.cli.cli_utils import fixup_gms_url, get_system_auth +from datahub.cli.cli_utils import ( + ensure_has_system_metadata, + fixup_gms_url, + get_system_auth, +) from datahub.configuration.common import ConfigurationError, OperationalError from datahub.emitter.generic_emitter import Emitter from datahub.emitter.mcp import MetadataChangeProposalWrapper @@ -202,6 +206,7 @@ def emit( UsageAggregation, ], callback: Optional[Callable[[Exception, str], None]] = None, + async_flag: Optional[bool] = None, ) -> None: try: if isinstance(item, UsageAggregation): @@ -209,7 +214,7 @@ def emit( elif isinstance( item, (MetadataChangeProposal, MetadataChangeProposalWrapper) ): - self.emit_mcp(item) + self.emit_mcp(item, async_flag=async_flag) else: self.emit_mce(item) except Exception as e: @@ -228,12 +233,10 @@ def emit_mce(self, mce: MetadataChangeEvent) -> None: snapshot_fqn = ( f"com.linkedin.metadata.snapshot.{mce.proposedSnapshot.RECORD_SCHEMA.name}" ) - system_metadata_obj = {} - if mce.systemMetadata is not None: - system_metadata_obj = { - "lastObserved": mce.systemMetadata.lastObserved, - "runId": mce.systemMetadata.runId, - } + ensure_has_system_metadata(mce) + # To make lint happy + assert mce.systemMetadata is not None + system_metadata_obj = mce.systemMetadata.to_obj() snapshot = { "entity": {"value": {snapshot_fqn: mce_obj}}, "systemMetadata": system_metadata_obj, @@ -243,22 +246,39 @@ def emit_mce(self, mce: MetadataChangeEvent) -> None: self._emit_generic(url, payload) def emit_mcp( - self, mcp: Union[MetadataChangeProposal, MetadataChangeProposalWrapper] + self, + mcp: Union[MetadataChangeProposal, MetadataChangeProposalWrapper], + async_flag: Optional[bool] = None, ) -> None: url = f"{self._gms_server}/aspects?action=ingestProposal" + ensure_has_system_metadata(mcp) mcp_obj = pre_json_transform(mcp.to_obj()) - payload = json.dumps({"proposal": mcp_obj}) + payload_dict = {"proposal": mcp_obj} + + if async_flag is not None: + payload_dict["async"] = "true" if async_flag else "false" + + payload = json.dumps(payload_dict) self._emit_generic(url, payload) def emit_mcps( - self, mcps: List[Union[MetadataChangeProposal, MetadataChangeProposalWrapper]] + self, + mcps: List[Union[MetadataChangeProposal, MetadataChangeProposalWrapper]], + async_flag: Optional[bool] = None, ) -> None: url = f"{self._gms_server}/aspects?action=ingestProposalBatch" + for mcp in mcps: + ensure_has_system_metadata(mcp) mcp_objs = [pre_json_transform(mcp.to_obj()) for mcp in mcps] - payload = json.dumps({"proposals": mcp_objs}) + payload_dict: dict = {"proposals": mcp_objs} + + if async_flag is not None: + payload_dict["async"] = "true" if async_flag else "false" + + payload = json.dumps(payload_dict) self._emit_generic(url, payload) diff --git a/metadata-ingestion/src/datahub/ingestion/api/source.py b/metadata-ingestion/src/datahub/ingestion/api/source.py index 173f7ec59b0c23..ad1b312ef445c1 100644 --- a/metadata-ingestion/src/datahub/ingestion/api/source.py +++ b/metadata-ingestion/src/datahub/ingestion/api/source.py @@ -21,6 +21,7 @@ ) from pydantic import BaseModel +from typing_extensions import LiteralString from datahub.configuration.common import ConfigModel from datahub.configuration.source_common import PlatformInstanceConfigMixin @@ -44,6 +45,8 @@ logger = logging.getLogger(__name__) +_MAX_CONTEXT_STRING_LENGTH = 300 + class SourceCapability(Enum): PLATFORM_INSTANCE = "Platform Instance" @@ -62,6 +65,110 @@ class SourceCapability(Enum): CLASSIFICATION = "Classification" +class StructuredLogLevel(Enum): + INFO = logging.INFO + WARN = logging.WARN + ERROR = logging.ERROR + + +@dataclass +class StructuredLogEntry(Report): + title: Optional[str] + message: str + context: LossyList[str] + + +@dataclass +class StructuredLogs(Report): + # Underlying Lossy Dicts to Capture Errors, Warnings, and Infos. + _entries: Dict[StructuredLogLevel, LossyDict[str, StructuredLogEntry]] = field( + default_factory=lambda: { + StructuredLogLevel.ERROR: LossyDict(10), + StructuredLogLevel.WARN: LossyDict(10), + StructuredLogLevel.INFO: LossyDict(10), + } + ) + + def report_log( + self, + level: StructuredLogLevel, + message: LiteralString, + title: Optional[LiteralString] = None, + context: Optional[str] = None, + exc: Optional[BaseException] = None, + log: bool = False, + ) -> None: + """ + Report a user-facing warning for the ingestion run. + + Args: + level: The level of the log entry. + message: The main message associated with the report entry. This should be a human-readable message. + title: The category / heading to present on for this message in the UI. + context: Additional context (e.g. where, how) for the log entry. + exc: The exception associated with the event. We'll show the stack trace when in debug mode. + """ + + stacklevel = 2 + + log_key = f"{title}-{message}" + entries = self._entries[level] + + if context and len(context) > _MAX_CONTEXT_STRING_LENGTH: + context = f"{context[:_MAX_CONTEXT_STRING_LENGTH]} ..." + + log_content = f"{message} => {context}" if context else message + if exc: + log_content += f"{log_content}: {exc}" + + if log: + logger.log(level=level.value, msg=log_content, stacklevel=stacklevel) + logger.log( + level=logging.DEBUG, + msg="Full stack trace:", + stacklevel=stacklevel, + exc_info=exc, + ) + + # Add the simple exception details to the context. + context = f"{context}: {exc}" + elif log: + logger.log(level=level.value, msg=log_content, stacklevel=stacklevel) + + if log_key not in entries: + context_list: LossyList[str] = LossyList() + if context is not None: + context_list.append(context) + entries[log_key] = StructuredLogEntry( + title=title, + message=message, + context=context_list, + ) + else: + if context is not None: + entries[log_key].context.append(context) + + def _get_of_type(self, level: StructuredLogLevel) -> LossyList[StructuredLogEntry]: + entries = self._entries[level] + result: LossyList[StructuredLogEntry] = LossyList() + for log in entries.values(): + result.append(log) + result.set_total(entries.total_key_count()) + return result + + @property + def warnings(self) -> LossyList[StructuredLogEntry]: + return self._get_of_type(StructuredLogLevel.WARN) + + @property + def failures(self) -> LossyList[StructuredLogEntry]: + return self._get_of_type(StructuredLogLevel.ERROR) + + @property + def infos(self) -> LossyList[StructuredLogEntry]: + return self._get_of_type(StructuredLogLevel.INFO) + + @dataclass class SourceReport(Report): events_produced: int = 0 @@ -76,8 +183,19 @@ class SourceReport(Report): default_factory=lambda: defaultdict(lambda: defaultdict(LossyList)) ) - warnings: LossyDict[str, LossyList[str]] = field(default_factory=LossyDict) - failures: LossyDict[str, LossyList[str]] = field(default_factory=LossyDict) + _structured_logs: StructuredLogs = field(default_factory=StructuredLogs) + + @property + def warnings(self) -> LossyList[StructuredLogEntry]: + return self._structured_logs.warnings + + @property + def failures(self) -> LossyList[StructuredLogEntry]: + return self._structured_logs.failures + + @property + def infos(self) -> LossyList[StructuredLogEntry]: + return self._structured_logs.infos def report_workunit(self, wu: WorkUnit) -> None: self.events_produced += 1 @@ -109,28 +227,74 @@ def report_workunit(self, wu: WorkUnit) -> None: "fineGrainedLineages" ].append(urn) - def report_warning(self, key: str, reason: str) -> None: - warnings = self.warnings.get(key, LossyList()) - warnings.append(reason) - self.warnings[key] = warnings + def report_warning( + self, + message: LiteralString, + context: Optional[str] = None, + title: Optional[LiteralString] = None, + exc: Optional[BaseException] = None, + ) -> None: + self._structured_logs.report_log( + StructuredLogLevel.WARN, message, title, context, exc, log=False + ) - def warning(self, key: str, reason: str) -> None: - self.report_warning(key, reason) - logger.warning(f"{key} => {reason}", stacklevel=2) + def warning( + self, + message: LiteralString, + context: Optional[str] = None, + title: Optional[LiteralString] = None, + exc: Optional[BaseException] = None, + ) -> None: + self._structured_logs.report_log( + StructuredLogLevel.WARN, message, title, context, exc, log=True + ) - def report_failure(self, key: str, reason: str) -> None: - failures = self.failures.get(key, LossyList()) - failures.append(reason) - self.failures[key] = failures + def report_failure( + self, + message: LiteralString, + context: Optional[str] = None, + title: Optional[LiteralString] = None, + exc: Optional[BaseException] = None, + ) -> None: + self._structured_logs.report_log( + StructuredLogLevel.ERROR, message, title, context, exc, log=False + ) - def failure(self, key: str, reason: str) -> None: - self.report_failure(key, reason) - logger.error(f"{key} => {reason}", stacklevel=2) + def failure( + self, + message: LiteralString, + context: Optional[str] = None, + title: Optional[LiteralString] = None, + exc: Optional[BaseException] = None, + ) -> None: + self._structured_logs.report_log( + StructuredLogLevel.ERROR, message, title, context, exc, log=True + ) + + def info( + self, + message: LiteralString, + context: Optional[str] = None, + title: Optional[LiteralString] = None, + exc: Optional[BaseException] = None, + ) -> None: + self._structured_logs.report_log( + StructuredLogLevel.INFO, message, title, context, exc, log=True + ) def __post_init__(self) -> None: self.start_time = datetime.datetime.now() self.running_time: datetime.timedelta = datetime.timedelta(seconds=0) + def as_obj(self) -> dict: + return { + **super().as_obj(), + # To reduce the amount of nesting, we pull these fields out of the structured log. + "failures": Report.to_pure_python_obj(self.failures), + "warnings": Report.to_pure_python_obj(self.warnings), + "infos": Report.to_pure_python_obj(self.infos), + } + def compute_stats(self) -> None: duration = datetime.datetime.now() - self.start_time workunits_produced = self.events_produced diff --git a/metadata-ingestion/src/datahub/ingestion/api/source_helpers.py b/metadata-ingestion/src/datahub/ingestion/api/source_helpers.py index 2de129d7d0c1a0..372aef707f232f 100644 --- a/metadata-ingestion/src/datahub/ingestion/api/source_helpers.py +++ b/metadata-ingestion/src/datahub/ingestion/api/source_helpers.py @@ -37,6 +37,7 @@ from datahub.metadata.urns import DatasetUrn, GlossaryTermUrn, TagUrn, Urn from datahub.specific.dataset import DatasetPatchBuilder from datahub.telemetry import telemetry +from datahub.utilities.urns.error import InvalidUrnError from datahub.utilities.urns.urn import guess_entity_type from datahub.utilities.urns.urn_iter import list_urns, lowercase_dataset_urns @@ -172,13 +173,18 @@ def auto_materialize_referenced_tags_terms( yield wu for urn in sorted(referenced_tags - tags_with_aspects): - urn_tp = Urn.from_string(urn) - assert isinstance(urn_tp, (TagUrn, GlossaryTermUrn)) + try: + urn_tp = Urn.from_string(urn) + assert isinstance(urn_tp, (TagUrn, GlossaryTermUrn)) - yield MetadataChangeProposalWrapper( - entityUrn=urn, - aspect=urn_tp.to_key_aspect(), - ).as_workunit() + yield MetadataChangeProposalWrapper( + entityUrn=urn, + aspect=urn_tp.to_key_aspect(), + ).as_workunit() + except InvalidUrnError: + logger.info( + f"Source produced an invalid urn, so no key aspect will be generated: {urn}" + ) def auto_lowercase_urns( diff --git a/metadata-ingestion/src/datahub/ingestion/extractor/json_schema_util.py b/metadata-ingestion/src/datahub/ingestion/extractor/json_schema_util.py index a1fab13fd4bbb7..bcf077154343c8 100644 --- a/metadata-ingestion/src/datahub/ingestion/extractor/json_schema_util.py +++ b/metadata-ingestion/src/datahub/ingestion/extractor/json_schema_util.py @@ -629,7 +629,7 @@ def get_fields_from_schema( logger.error( "Failed to get fields from schema, continuing...", exc_info=e ) - return [] + return else: raise json_type = cls._get_type_from_schema(jsonref_schema_dict) diff --git a/metadata-ingestion/src/datahub/ingestion/source_config/sql/__init__.py b/metadata-ingestion/src/datahub/ingestion/fs/__init__.py similarity index 100% rename from metadata-ingestion/src/datahub/ingestion/source_config/sql/__init__.py rename to metadata-ingestion/src/datahub/ingestion/fs/__init__.py diff --git a/metadata-ingestion/src/datahub/ingestion/fs/fs_base.py b/metadata-ingestion/src/datahub/ingestion/fs/fs_base.py new file mode 100644 index 00000000000000..b099d4d332946a --- /dev/null +++ b/metadata-ingestion/src/datahub/ingestion/fs/fs_base.py @@ -0,0 +1,40 @@ +from abc import ABCMeta, abstractmethod +from dataclasses import dataclass +from typing import Any, Iterable +from urllib import parse + + +@dataclass +class FileInfo: + path: str + size: int + is_file: bool + + def __str__(self): + return f"FileInfo({self.path}, {self.size}, {self.is_file})" + + +class FileSystem(metaclass=ABCMeta): + @classmethod + def create(cls, **kwargs: Any) -> "FileSystem": + raise NotImplementedError('File system implementations must implement "create"') + + @abstractmethod + def open(self, path: str, **kwargs: Any) -> Any: + pass + + @abstractmethod + def file_status(self, path: str) -> FileInfo: + pass + + @abstractmethod + def list(self, path: str) -> Iterable[FileInfo]: + pass + + +def get_path_schema(path: str) -> str: + scheme = parse.urlparse(path).scheme + if scheme == "": + # This makes the default schema "file" for local paths. + scheme = "file" + return scheme diff --git a/metadata-ingestion/src/datahub/ingestion/fs/fs_registry.py b/metadata-ingestion/src/datahub/ingestion/fs/fs_registry.py new file mode 100644 index 00000000000000..cb2349723a4cdb --- /dev/null +++ b/metadata-ingestion/src/datahub/ingestion/fs/fs_registry.py @@ -0,0 +1,5 @@ +from datahub.ingestion.api.registry import PluginRegistry +from datahub.ingestion.fs.fs_base import FileSystem + +fs_registry = PluginRegistry[FileSystem]() +fs_registry.register_from_entrypoint("datahub.fs.plugins") diff --git a/metadata-ingestion/src/datahub/ingestion/fs/http_fs.py b/metadata-ingestion/src/datahub/ingestion/fs/http_fs.py new file mode 100644 index 00000000000000..a9153352690adc --- /dev/null +++ b/metadata-ingestion/src/datahub/ingestion/fs/http_fs.py @@ -0,0 +1,28 @@ +from typing import Any, Iterable + +import requests +import smart_open + +from datahub.ingestion.fs.fs_base import FileInfo, FileSystem + + +class HttpFileSystem(FileSystem): + @classmethod + def create(cls, **kwargs): + return HttpFileSystem() + + def open(self, path: str, **kwargs: Any) -> Any: + return smart_open.open(path, mode="rb", transport_params=kwargs) + + def file_status(self, path: str) -> FileInfo: + head = requests.head(path) + if head.ok: + return FileInfo(path, int(head.headers["Content-length"]), is_file=True) + elif head.status_code == 404: + raise FileNotFoundError(f"Requested path {path} does not exist.") + else: + raise IOError(f"Cannot get file status for the requested path {path}.") + + def list(self, path: str) -> Iterable[FileInfo]: + status = self.file_status(path) + return [status] diff --git a/metadata-ingestion/src/datahub/ingestion/fs/local_fs.py b/metadata-ingestion/src/datahub/ingestion/fs/local_fs.py new file mode 100644 index 00000000000000..8a546650a3dfe8 --- /dev/null +++ b/metadata-ingestion/src/datahub/ingestion/fs/local_fs.py @@ -0,0 +1,29 @@ +import os +import pathlib +from typing import Any, Iterable + +from datahub.ingestion.fs.fs_base import FileInfo, FileSystem + + +class LocalFileSystem(FileSystem): + @classmethod + def create(cls, **kwargs): + return LocalFileSystem() + + def open(self, path: str, **kwargs: Any) -> Any: + # Local does not support any additional kwargs + assert not kwargs + return pathlib.Path(path).open(mode="rb") + + def list(self, path: str) -> Iterable[FileInfo]: + p = pathlib.Path(path) + if p.is_file(): + return [self.file_status(path)] + else: + return iter([self.file_status(str(x)) for x in p.iterdir()]) + + def file_status(self, path: str) -> FileInfo: + if os.path.isfile(path): + return FileInfo(path, os.path.getsize(path), is_file=True) + else: + return FileInfo(path, 0, is_file=False) diff --git a/metadata-ingestion/src/datahub/ingestion/fs/s3_fs.py b/metadata-ingestion/src/datahub/ingestion/fs/s3_fs.py new file mode 100644 index 00000000000000..a135b7b6ce8375 --- /dev/null +++ b/metadata-ingestion/src/datahub/ingestion/fs/s3_fs.py @@ -0,0 +1,108 @@ +from collections.abc import Iterator +from dataclasses import dataclass +from typing import Any, Iterable +from urllib.parse import urlparse + +import boto3 +import smart_open + +from datahub.ingestion.fs import s3_fs +from datahub.ingestion.fs.fs_base import FileInfo, FileSystem + + +def parse_s3_path(path: str) -> "S3Path": + parsed = urlparse(path) + return S3Path(parsed.netloc, parsed.path.lstrip("/")) + + +def assert_ok_status(s3_response): + is_ok = s3_response["ResponseMetadata"]["HTTPStatusCode"] == 200 + assert ( + is_ok + ), f"Failed to fetch S3 object, error message: {s3_response['Error']['Message']}" + + +@dataclass +class S3Path: + bucket: str + key: str + + def __str__(self): + return f"S3Path({self.bucket}, {self.key})" + + +class S3ListIterator(Iterator): + + MAX_KEYS = 1000 + + def __init__( + self, s3_client: Any, bucket: str, prefix: str, max_keys: int = MAX_KEYS + ) -> None: + self._s3 = s3_client + self._bucket = bucket + self._prefix = prefix + self._max_keys = max_keys + self._file_statuses: Iterator = iter([]) + self._token = "" + self.fetch() + + def __next__(self) -> FileInfo: + try: + return next(self._file_statuses) + except StopIteration: + if self._token: + self.fetch() + return next(self._file_statuses) + else: + raise StopIteration() + + def fetch(self): + params = dict(Bucket=self._bucket, Prefix=self._prefix, MaxKeys=self._max_keys) + if self._token: + params.update(ContinuationToken=self._token) + + response = self._s3.list_objects_v2(**params) + + s3_fs.assert_ok_status(response) + + self._file_statuses = iter( + [ + FileInfo(f"s3://{response['Name']}/{x['Key']}", x["Size"], is_file=True) + for x in response.get("Contents", []) + ] + ) + self._token = response.get("NextContinuationToken") + + +class S3FileSystem(FileSystem): + def __init__(self, **kwargs): + self.s3 = boto3.client("s3", **kwargs) + + @classmethod + def create(cls, **kwargs): + return S3FileSystem(**kwargs) + + def open(self, path: str, **kwargs: Any) -> Any: + transport_params = kwargs.update({"client": self.s3}) + return smart_open.open(path, mode="rb", transport_params=transport_params) + + def file_status(self, path: str) -> FileInfo: + s3_path = parse_s3_path(path) + try: + response = self.s3.get_object_attributes( + Bucket=s3_path.bucket, Key=s3_path.key, ObjectAttributes=["ObjectSize"] + ) + assert_ok_status(response) + return FileInfo(path, response["ObjectSize"], is_file=True) + except Exception as e: + if ( + hasattr(e, "response") + and e.response["ResponseMetadata"]["HTTPStatusCode"] == 404 + ): + return FileInfo(path, 0, is_file=False) + else: + raise e + + def list(self, path: str) -> Iterable[FileInfo]: + s3_path = parse_s3_path(path) + return S3ListIterator(self.s3, s3_path.bucket, s3_path.key) diff --git a/metadata-ingestion/src/datahub/ingestion/graph/client.py b/metadata-ingestion/src/datahub/ingestion/graph/client.py index 252846326b49e1..7ba412b3e772c0 100644 --- a/metadata-ingestion/src/datahub/ingestion/graph/client.py +++ b/metadata-ingestion/src/datahub/ingestion/graph/client.py @@ -1278,6 +1278,20 @@ def create_tag(self, tag_name: str) -> str: # return urn return res["createTag"] + def remove_tag(self, tag_urn: str, resource_urn: str) -> bool: + graph_query = f""" + mutation removeTag {{ + removeTag( + input: {{ + tagUrn: "{tag_urn}", + resourceUrn: "{resource_urn}" + }}) + }} + """ + + res = self.execute_graphql(query=graph_query) + return res["removeTag"] + def _assertion_result_shared(self) -> str: fragment: str = """ fragment assertionResult on AssertionResult { diff --git a/metadata-ingestion/src/datahub/ingestion/run/pipeline.py b/metadata-ingestion/src/datahub/ingestion/run/pipeline.py index 4e66ee9c978f0b..e61ffa46b3c107 100644 --- a/metadata-ingestion/src/datahub/ingestion/run/pipeline.py +++ b/metadata-ingestion/src/datahub/ingestion/run/pipeline.py @@ -50,7 +50,7 @@ clear_global_warnings, get_global_warnings, ) -from datahub.utilities.lossy_collections import LossyDict, LossyList +from datahub.utilities.lossy_collections import LossyList logger = logging.getLogger(__name__) _REPORT_PRINT_INTERVAL_SECONDS = 60 @@ -124,7 +124,7 @@ class PipelineInitError(Exception): class PipelineStatus(enum.Enum): UNKNOWN = enum.auto() COMPLETED = enum.auto() - PIPELINE_ERROR = enum.auto() + ERROR = enum.auto() CANCELLED = enum.auto() @@ -508,16 +508,8 @@ def run(self) -> None: logger.error("Caught error", exc_info=e) raise except Exception as exc: - self.final_status = PipelineStatus.PIPELINE_ERROR - logger.exception("Ingestion pipeline threw an uncaught exception") - - # HACK: We'll report this as a source error, since we don't have a great place to put it. - # It theoretically could've come from any part of the pipeline, but usually it's from the source. - # This ensures that it is included in the report, and that the run is marked as failed. - self.source.get_report().report_failure( - "pipeline_error", - f"Ingestion pipeline threw an uncaught exception: {exc}", - ) + self.final_status = PipelineStatus.ERROR + self._handle_uncaught_pipeline_exception(exc) finally: clear_global_warnings() @@ -627,11 +619,8 @@ def log_ingestion_stats(self) -> None: self.ctx.graph, ) - def _approx_all_vals(self, d: LossyDict[str, LossyList]) -> int: - result = d.dropped_keys_count() - for k in d: - result += len(d[k]) - return result + def _approx_all_vals(self, d: LossyList[Any]) -> int: + return d.total_elements def _get_text_color(self, running: bool, failures: bool, warnings: bool) -> str: if running: @@ -657,7 +646,7 @@ def pretty_print_summary( if ( not workunits_produced and not currently_running - and self.final_status == PipelineStatus.PIPELINE_ERROR + and self.final_status == PipelineStatus.ERROR ): # If the pipeline threw an uncaught exception before doing anything, printing # out the report would just be annoying. @@ -725,6 +714,14 @@ def pretty_print_summary( ) return 0 + def _handle_uncaught_pipeline_exception(self, exc: Exception) -> None: + logger.exception("Ingestion pipeline threw an uncaught exception") + self.source.get_report().report_failure( + title="Pipeline Error", + message="Ingestion pipeline raised an unexpected exception!", + exc=exc, + ) + def _get_structured_report(self) -> Dict[str, Any]: return { "cli": self.cli_report.as_obj(), diff --git a/metadata-ingestion/src/datahub/ingestion/source/aws/glue.py b/metadata-ingestion/src/datahub/ingestion/source/aws/glue.py index d65d17f223361d..3b77d58a8711b7 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/aws/glue.py +++ b/metadata-ingestion/src/datahub/ingestion/source/aws/glue.py @@ -3,6 +3,7 @@ import logging from collections import defaultdict from dataclasses import dataclass, field as dataclass_field +from functools import lru_cache from typing import ( Any, DefaultDict, @@ -118,9 +119,10 @@ class GlueSourceConfig( description=f"The platform to use for the dataset URNs. Must be one of {VALID_PLATFORMS}.", ) + # https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-glue-table-tableinput.html#cfn-glue-table-tableinput-owner extract_owners: Optional[bool] = Field( default=True, - description="When enabled, extracts ownership from Glue directly and overwrites existing owners. When disabled, ownership is left empty for datasets.", + description="When enabled, extracts ownership from Glue table property and overwrites existing owners (DATAOWNER). When disabled, ownership is left empty for datasets. Expects a corpGroup urn, a corpuser urn or only the identifier part for the latter. Not used in the normal course of AWS Glue operations.", ) extract_transforms: Optional[bool] = Field( default=True, description="Whether to extract Glue transform jobs." @@ -901,7 +903,7 @@ def gen_database_containers( parameters["LocationUri"] = database["LocationUri"] if database.get("CreateTime") is not None: create_time: datetime.datetime = database["CreateTime"] - parameters["CreateTime"] = create_time.strftime("%B %-d, %Y at %H:%M:%S") + parameters["CreateTime"] = create_time.strftime("%B %d, %Y at %H:%M:%S") yield from gen_containers( container_key=database_container_key, name=database["Name"], @@ -949,9 +951,11 @@ def get_workunit_processors(self) -> List[Optional[MetadataWorkUnitProcessor]]: ] def get_workunits_internal(self) -> Iterable[MetadataWorkUnit]: - database_seen = set() databases, tables = self.get_all_databases_and_tables() + for database in databases.values(): + yield from self.gen_database_containers(database) + for table in tables: database_name = table["DatabaseName"] table_name = table["Name"] @@ -962,9 +966,6 @@ def get_workunits_internal(self) -> Iterable[MetadataWorkUnit]: ) or not self.source_config.table_pattern.allowed(full_table_name): self.report.report_table_dropped(full_table_name) continue - if database_name not in database_seen: - database_seen.add(database_name) - yield from self.gen_database_containers(databases[database_name]) dataset_urn = make_dataset_urn_with_platform_instance( platform=self.platform, @@ -1062,20 +1063,6 @@ def _extract_record( f"extract record from table={table_name} for dataset={dataset_urn}" ) - def get_owner() -> Optional[OwnershipClass]: - owner = table.get("Owner") - if owner: - owners = [ - OwnerClass( - owner=f"urn:li:corpuser:{owner}", - type=OwnershipTypeClass.DATAOWNER, - ) - ] - return OwnershipClass( - owners=owners, - ) - return None - def get_dataset_properties() -> DatasetPropertiesClass: return DatasetPropertiesClass( description=table.get("Description"), @@ -1285,6 +1272,20 @@ def get_data_platform_instance() -> DataPlatformInstanceClass: else None, ) + @lru_cache(maxsize=None) + def _get_ownership(owner: str) -> Optional[OwnershipClass]: + if owner: + owners = [ + OwnerClass( + owner=mce_builder.make_user_urn(owner), + type=OwnershipTypeClass.DATAOWNER, + ) + ] + return OwnershipClass( + owners=owners, + ) + return None + dataset_snapshot = DatasetSnapshot( urn=dataset_urn, aspects=[ @@ -1299,8 +1300,10 @@ def get_data_platform_instance() -> DataPlatformInstanceClass: dataset_snapshot.aspects.append(get_data_platform_instance()) + # Ownership if self.extract_owners: - optional_owner_aspect = get_owner() + owner = table.get("Owner") + optional_owner_aspect = _get_ownership(owner) if optional_owner_aspect is not None: dataset_snapshot.aspects.append(optional_owner_aspect) diff --git a/metadata-ingestion/src/datahub/ingestion/source/bigquery_v2/bigquery.py b/metadata-ingestion/src/datahub/ingestion/source/bigquery_v2/bigquery.py index d2d4f13ceb187e..5046f52cdce26e 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/bigquery_v2/bigquery.py +++ b/metadata-ingestion/src/datahub/ingestion/source/bigquery_v2/bigquery.py @@ -644,7 +644,7 @@ def _query_project_list(self) -> Iterable[BigqueryProject]: "Maybe resourcemanager.projects.get permission is missing for the service account. " "You can assign predefined roles/bigquery.metadataViewer role to your service account.", ) - return [] + return for project in projects: if self.config.project_id_pattern.allowed(project.id): diff --git a/metadata-ingestion/src/datahub/ingestion/source/bigquery_v2/bigquery_audit.py b/metadata-ingestion/src/datahub/ingestion/source/bigquery_v2/bigquery_audit.py index 0e7e98b0e5e8f0..f8fcea7c57545c 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/bigquery_v2/bigquery_audit.py +++ b/metadata-ingestion/src/datahub/ingestion/source/bigquery_v2/bigquery_audit.py @@ -192,7 +192,7 @@ def from_string_name(cls, ref: str) -> "BigQueryTableRef": def from_urn(cls, urn: str) -> "BigQueryTableRef": """Raises: ValueError if urn is not a valid BigQuery table URN.""" dataset_urn = DatasetUrn.create_from_string(urn) - split = dataset_urn.get_dataset_name().rsplit(".", 3) + split = dataset_urn.name.rsplit(".", 3) if len(split) == 3: project, dataset, table = split else: diff --git a/metadata-ingestion/src/datahub/ingestion/source/dbt/dbt_common.py b/metadata-ingestion/src/datahub/ingestion/source/dbt/dbt_common.py index 962c91fb166266..f56784ab1f0822 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/dbt/dbt_common.py +++ b/metadata-ingestion/src/datahub/ingestion/source/dbt/dbt_common.py @@ -1483,7 +1483,7 @@ def get_patched_mce(self, mce): transformed_tag_list = self.get_transformed_tags_by_prefix( tag_aspect.tags, mce.proposedSnapshot.urn, - mce_builder.make_tag_urn(self.config.tag_prefix), + tag_prefix=self.config.tag_prefix, ) tag_aspect.tags = transformed_tag_list @@ -1874,16 +1874,19 @@ def get_transformed_tags_by_prefix( self, new_tags: List[TagAssociationClass], entity_urn: str, - tags_prefix_filter: str, + tag_prefix: str, ) -> List[TagAssociationClass]: tag_set = {new_tag.tag for new_tag in new_tags} if self.ctx.graph: existing_tags_class = self.ctx.graph.get_tags(entity_urn) if existing_tags_class and existing_tags_class.tags: - for exiting_tag in existing_tags_class.tags: - if not exiting_tag.tag.startswith(tags_prefix_filter): - tag_set.add(exiting_tag.tag) + for existing_tag in existing_tags_class.tags: + if tag_prefix and existing_tag.tag.startswith( + mce_builder.make_tag_urn(tag_prefix) + ): + continue + tag_set.add(existing_tag.tag) return [TagAssociationClass(tag) for tag in sorted(tag_set)] # This method attempts to read-modify and return the glossary terms of a dataset. diff --git a/metadata-ingestion/src/datahub/ingestion/source/dynamodb/dynamodb.py b/metadata-ingestion/src/datahub/ingestion/source/dynamodb/dynamodb.py index e3933b985c28ad..6cab0ffc8f25c5 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/dynamodb/dynamodb.py +++ b/metadata-ingestion/src/datahub/ingestion/source/dynamodb/dynamodb.py @@ -466,8 +466,9 @@ def construct_schema_metadata( if schema_size > MAX_SCHEMA_SIZE: # downsample the schema, using frequency as the sort key self.report.report_warning( - key=dataset_urn, - reason=f"Downsampling the table schema because MAX_SCHEMA_SIZE threshold is {MAX_SCHEMA_SIZE}", + title="Schema Size Too Large", + message=f"Downsampling the table schema because MAX_SCHEMA_SIZE threshold is {MAX_SCHEMA_SIZE}", + context=f"Collection: {dataset_urn}", ) # Add this information to the custom properties so user can know they are looking at down sampled schema @@ -535,7 +536,9 @@ def get_native_type(self, attribute_type: Union[type, str], table_name: str) -> ) if type_string is None: self.report.report_warning( - table_name, f"unable to map type {attribute_type} to native data type" + title="Unable to Map Attribute Type", + message=f"Unable to map type {attribute_type} to native data type", + context=f"Collection: {table_name}", ) return _attribute_type_to_native_type_mapping[attribute_type] return type_string @@ -550,8 +553,9 @@ def get_field_type( if type_class is None: self.report.report_warning( - table_name, - f"unable to map type {attribute_type} to metadata schema field type", + title="Unable to Map Field Type", + message=f"Unable to map type {attribute_type} to metadata schema field type", + context=f"Collection: {table_name}", ) type_class = NullTypeClass return SchemaFieldDataType(type=type_class()) diff --git a/metadata-ingestion/src/datahub/ingestion/source/file.py b/metadata-ingestion/src/datahub/ingestion/source/file.py index 3e8c88b725de50..853487b1f1c9f7 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/file.py +++ b/metadata-ingestion/src/datahub/ingestion/source/file.py @@ -6,16 +6,13 @@ from dataclasses import dataclass, field from enum import auto from functools import partial -from io import BufferedReader from typing import Any, Iterable, Iterator, List, Optional, Tuple, Union -from urllib import parse import ijson -import requests from pydantic import validator from pydantic.fields import Field -from datahub.configuration.common import ConfigEnum, ConfigModel, ConfigurationError +from datahub.configuration.common import ConfigEnum, ConfigModel from datahub.configuration.validate_field_deprecation import pydantic_field_deprecated from datahub.configuration.validate_field_rename import pydantic_renamed_field from datahub.emitter.mcp import MetadataChangeProposalWrapper @@ -35,6 +32,8 @@ ) from datahub.ingestion.api.source_helpers import auto_workunit_reporter from datahub.ingestion.api.workunit import MetadataWorkUnit +from datahub.ingestion.fs.fs_base import FileInfo, get_path_schema +from datahub.ingestion.fs.fs_registry import fs_registry from datahub.metadata.com.linkedin.pegasus2avro.mxe import ( MetadataChangeEvent, MetadataChangeProposal, @@ -186,34 +185,22 @@ def __init__(self, ctx: PipelineContext, config: FileSourceConfig): self.ctx = ctx self.config = config self.report = FileSourceReport() - self.fp: Optional[BufferedReader] = None @classmethod def create(cls, config_dict, ctx): config = FileSourceConfig.parse_obj(config_dict) return cls(ctx, config) - def get_filenames(self) -> Iterable[str]: - path_parsed = parse.urlparse(str(self.config.path)) - if path_parsed.scheme in ("file", ""): - path = pathlib.Path(self.config.path) - if path.is_file(): - self.report.total_num_files = 1 - return [str(path)] - elif path.is_dir(): - files_and_stats = [ - (str(x), os.path.getsize(x)) - for x in path.glob(f"*{self.config.file_extension}") - if x.is_file() - ] - self.report.total_num_files = len(files_and_stats) - self.report.total_bytes_on_disk = sum([y for (x, y) in files_and_stats]) - return [x for (x, y) in files_and_stats] - else: - raise Exception(f"Failed to process {path}") - else: - self.report.total_num_files = 1 - return [str(self.config.path)] + def get_filenames(self) -> Iterable[FileInfo]: + path_str = str(self.config.path) + schema = get_path_schema(path_str) + fs_class = fs_registry.get(schema) + fs = fs_class.create() + for file_info in fs.list(path_str): + if file_info.is_file and file_info.path.endswith( + self.config.file_extension + ): + yield file_info def get_workunit_processors(self) -> List[Optional[MetadataWorkUnitProcessor]]: # No super() call, as we don't want helpers that create / remove workunits @@ -224,7 +211,7 @@ def get_workunits_internal( ) -> Iterable[MetadataWorkUnit]: for f in self.get_filenames(): for i, obj in self.iterate_generic_file(f): - id = f"file://{f}:{i}" + id = f"{f.path}:{i}" if isinstance( obj, (MetadataChangeProposalWrapper, MetadataChangeProposal) ): @@ -241,99 +228,88 @@ def get_workunits_internal( yield MetadataWorkUnit(id, mcp_raw=obj) else: yield MetadataWorkUnit(id, mce=obj) + self.report.total_num_files += 1 + self.report.append_total_bytes_on_disk(f.size) def get_report(self): return self.report def close(self): - if self.fp: - self.fp.close() super().close() - def _iterate_file(self, path: str) -> Iterable[Tuple[int, Any]]: - self.report.current_file_name = path - path_parsed = parse.urlparse(path) - if path_parsed.scheme not in ("http", "https"): # A local file - self.report.current_file_size = os.path.getsize(path) - if self.config.read_mode == FileReadMode.AUTO: - file_read_mode = ( - FileReadMode.BATCH - if self.report.current_file_size - < self.config._minsize_for_streaming_mode_in_bytes - else FileReadMode.STREAM - ) - logger.info(f"Reading file {path} in {file_read_mode} mode") + def _iterate_file(self, file_status: FileInfo) -> Iterable[Any]: + file_read_mode = self.config.read_mode + if file_read_mode == FileReadMode.AUTO: + if file_status.size < self.config._minsize_for_streaming_mode_in_bytes: + file_read_mode = FileReadMode.BATCH else: - file_read_mode = self.config.read_mode - - if file_read_mode == FileReadMode.BATCH: - with open(path) as f: - parse_start_time = datetime.datetime.now() - obj_list = json.load(f) - parse_end_time = datetime.datetime.now() - self.report.add_parse_time(parse_end_time - parse_start_time) - if not isinstance(obj_list, list): - obj_list = [obj_list] - count_start_time = datetime.datetime.now() - self.report.current_file_num_elements = len(obj_list) - self.report.add_count_time(datetime.datetime.now() - count_start_time) - self.report.current_file_elements_read = 0 - for i, obj in enumerate(obj_list): - yield i, obj - self.report.current_file_elements_read += 1 + file_read_mode = FileReadMode.STREAM + + # Open the file. + schema = get_path_schema(file_status.path) + fs_class = fs_registry.get(schema) + fs = fs_class.create() + self.report.current_file_name = file_status.path + self.report.current_file_size = file_status.size + fp = fs.open(file_status.path) + + with fp: + if file_read_mode == FileReadMode.STREAM: + yield from self._iterate_file_streaming(fp) else: - self.fp = open(path, "rb") - if self.config.count_all_before_starting: - count_start_time = datetime.datetime.now() - parse_stream = ijson.parse(self.fp, use_float=True) - total_elements = 0 - for row in ijson.items(parse_stream, "item", use_float=True): - total_elements += 1 - count_end_time = datetime.datetime.now() - self.report.add_count_time(count_end_time - count_start_time) - self.report.current_file_num_elements = total_elements - self.report.current_file_elements_read = 0 - self.fp.seek(0) - parse_start_time = datetime.datetime.now() - parse_stream = ijson.parse(self.fp, use_float=True) - rows_yielded = 0 - for row in ijson.items(parse_stream, "item", use_float=True): - parse_end_time = datetime.datetime.now() - self.report.add_parse_time(parse_end_time - parse_start_time) - rows_yielded += 1 - self.report.current_file_elements_read += 1 - yield rows_yielded, row - parse_start_time = datetime.datetime.now() - else: - try: - response = requests.get(path) - parse_start_time = datetime.datetime.now() - data = response.json() - except Exception as e: - raise ConfigurationError(f"Cannot read remote file {path}, error:{e}") - if not isinstance(data, list): - data = [data] - parse_end_time = datetime.datetime.now() - self.report.add_parse_time(parse_end_time - parse_start_time) - self.report.current_file_size = len(response.content) - self.report.current_file_elements_read = 0 - for i, obj in enumerate(data): - yield i, obj - self.report.current_file_elements_read += 1 + yield from self._iterate_file_batch(fp) - self.report.files_completed.append(path) + self.report.files_completed.append(file_status.path) self.report.num_files_completed += 1 self.report.total_bytes_read_completed_files += self.report.current_file_size self.report.reset_current_file_stats() + def _iterate_file_streaming(self, fp: Any) -> Iterable[Any]: + # Count the number of elements in the file. + if self.config.count_all_before_starting: + count_start_time = datetime.datetime.now() + parse_stream = ijson.parse(fp, use_float=True) + total_elements = 0 + for _row in ijson.items(parse_stream, "item", use_float=True): + total_elements += 1 + count_end_time = datetime.datetime.now() + self.report.add_count_time(count_end_time - count_start_time) + self.report.current_file_num_elements = total_elements + fp.seek(0) + + # Read the file. + self.report.current_file_elements_read = 0 + parse_start_time = datetime.datetime.now() + parse_stream = ijson.parse(fp, use_float=True) + for row in ijson.items(parse_stream, "item", use_float=True): + parse_end_time = datetime.datetime.now() + self.report.add_parse_time(parse_end_time - parse_start_time) + self.report.current_file_elements_read += 1 + yield row + + def _iterate_file_batch(self, fp: Any) -> Iterable[Any]: + # Read the file. + contents = json.load(fp) + + # Maintain backwards compatibility with the single-object format. + if isinstance(contents, list): + for row in contents: + yield row + else: + yield contents + def iterate_mce_file(self, path: str) -> Iterator[MetadataChangeEvent]: - for i, obj in self._iterate_file(path): + # TODO: Remove this method, as it appears to be unused. + schema = get_path_schema(path) + fs_class = fs_registry.get(schema) + fs = fs_class.create() + file_status = fs.file_status(path) + for obj in self._iterate_file(file_status): mce: MetadataChangeEvent = MetadataChangeEvent.from_obj(obj) yield mce def iterate_generic_file( - self, - path: str, + self, file_status: FileInfo ) -> Iterator[ Tuple[ int, @@ -344,7 +320,7 @@ def iterate_generic_file( ], ] ]: - for i, obj in self._iterate_file(path): + for i, obj in enumerate(self._iterate_file(file_status)): try: deserialize_start_time = datetime.datetime.now() item = _from_obj_for_file(obj) @@ -389,6 +365,11 @@ def test_connection(config_dict: dict) -> TestConnectionReport: basic_connectivity=CapabilityReport(capable=True) ) + @staticmethod + def close_if_possible(stream): + if hasattr(stream, "close") and callable(stream.close): + stream.close() + def _from_obj_for_file( obj: dict, diff --git a/metadata-ingestion/src/datahub/ingestion/source/fivetran/config.py b/metadata-ingestion/src/datahub/ingestion/source/fivetran/config.py index f55d9f89ad97f1..f8b1c6dd93d6d9 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/fivetran/config.py +++ b/metadata-ingestion/src/datahub/ingestion/source/fivetran/config.py @@ -13,6 +13,9 @@ from datahub.ingestion.source.bigquery_v2.bigquery_config import ( BigQueryConnectionConfig, ) +from datahub.ingestion.source.snowflake.snowflake_connection import ( + SnowflakeConnectionConfig, +) from datahub.ingestion.source.state.stale_entity_removal_handler import ( StaleEntityRemovalSourceReport, StatefulStaleMetadataRemovalConfig, @@ -20,7 +23,6 @@ from datahub.ingestion.source.state.stateful_ingestion_base import ( StatefulIngestionConfigBase, ) -from datahub.ingestion.source_config.sql.snowflake import BaseSnowflakeConfig from datahub.utilities.perf_timer import PerfTimer logger = logging.getLogger(__name__) @@ -66,7 +68,7 @@ class Constant: } -class SnowflakeDestinationConfig(BaseSnowflakeConfig): +class SnowflakeDestinationConfig(SnowflakeConnectionConfig): database: str = Field(description="The fivetran connector log database.") log_schema: str = Field(description="The fivetran connector log schema.") diff --git a/metadata-ingestion/src/datahub/ingestion/source/fivetran/fivetran.py b/metadata-ingestion/src/datahub/ingestion/source/fivetran/fivetran.py index 56a80a2fd963e7..c899fe04d2c48e 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/fivetran/fivetran.py +++ b/metadata-ingestion/src/datahub/ingestion/source/fivetran/fivetran.py @@ -221,7 +221,7 @@ def _get_dpi_workunits( f"Status should be either SUCCESSFUL, FAILURE_WITH_TASK or CANCELED and it was " f"{job.status}" ) - return [] + return result = status_result_map[job.status] start_timestamp_millis = job.start_time * 1000 for mcp in dpi.generate_mcp( diff --git a/metadata-ingestion/src/datahub/ingestion/source/git/git_import.py b/metadata-ingestion/src/datahub/ingestion/source/git/git_import.py index 2122374c1e404e..6440ec8e5d7877 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/git/git_import.py +++ b/metadata-ingestion/src/datahub/ingestion/source/git/git_import.py @@ -21,6 +21,8 @@ def __init__(self, tmp_dir: str, skip_known_host_verification: bool = True): def clone( self, ssh_key: Optional[SecretStr], repo_url: str, branch: Optional[str] = None ) -> Path: + # Note: this does a shallow clone. + unique_dir = str(uuid4()) keys_dir = f"{self.tmp_dir}/{unique_dir}/keys" checkout_dir = f"{self.tmp_dir}/{unique_dir}/checkout" @@ -55,20 +57,33 @@ def clone( ) logger.debug(f"ssh_command={git_ssh_cmd}") - logger.info( - f"⏳ Cloning repo '{self.sanitize_repo_url(repo_url)}', this can take some time..." - ) - self.last_repo_cloned = git.Repo.clone_from( - repo_url, - checkout_dir, - env=dict(GIT_SSH_COMMAND=git_ssh_cmd), - ) - logger.info("✅ Cloning complete!") - - if branch is not None: + if branch is None: + logger.info( + f"⏳ Cloning repo '{self.sanitize_repo_url(repo_url)}' (default branch), this can take some time..." + ) + self.last_repo_cloned = git.Repo.clone_from( + repo_url, + checkout_dir, + env=dict(GIT_SSH_COMMAND=git_ssh_cmd), + depth=1, + ) + else: + # Because we accept branch names, tags, and commit hashes in the branch parameter, + # we can't just use the --branch flag of Git clone. Doing a blobless clone allows + # us to quickly checkout the right commit. + logger.info( + f"⏳ Cloning repo '{self.sanitize_repo_url(repo_url)}' (branch: {branch}), this can take some time..." + ) + self.last_repo_cloned = git.Repo.clone_from( + repo_url, + checkout_dir, + env=dict(GIT_SSH_COMMAND=git_ssh_cmd), + filter="blob:none", + ) logger.info(f"Checking out branch {branch}") self.last_repo_cloned.git.checkout(branch) + logger.info("✅ Cloning complete!") return pathlib.Path(checkout_dir) def get_last_repo_cloned(self) -> Optional[git.Repo]: diff --git a/metadata-ingestion/src/datahub/ingestion/source/looker/looker_common.py b/metadata-ingestion/src/datahub/ingestion/source/looker/looker_common.py index b53fe27745fc67..1f54767de5a68b 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/looker/looker_common.py +++ b/metadata-ingestion/src/datahub/ingestion/source/looker/looker_common.py @@ -8,7 +8,6 @@ from enum import Enum from functools import lru_cache from typing import ( - TYPE_CHECKING, Dict, Iterable, Iterator, @@ -38,12 +37,20 @@ from datahub.ingestion.source.common.subtypes import DatasetSubTypes from datahub.ingestion.source.looker.looker_config import ( LookerCommonConfig, + LookerConnectionDefinition, LookerDashboardSourceConfig, NamingPatternMapping, ViewNamingPatternMapping, ) from datahub.ingestion.source.looker.looker_constant import IMPORTED_PROJECTS +from datahub.ingestion.source.looker.looker_dataclasses import ProjectInclude +from datahub.ingestion.source.looker.looker_file_loader import LookerViewFileLoader from datahub.ingestion.source.looker.looker_lib_wrapper import LookerAPI +from datahub.ingestion.source.looker.lookml_config import ( + _BASE_PROJECT_NAME, + LookMLSourceReport, +) +from datahub.ingestion.source.looker.str_functions import remove_suffix from datahub.ingestion.source.sql.sql_types import ( POSTGRES_TYPES_MAP, SNOWFLAKE_TYPES_MAP, @@ -93,17 +100,12 @@ TagSnapshotClass, ) from datahub.metadata.urns import TagUrn +from datahub.sql_parsing.sqlglot_lineage import ColumnRef from datahub.utilities.lossy_collections import LossyList, LossySet from datahub.utilities.url_util import remove_port_from_url CORPUSER_DATAHUB = "urn:li:corpuser:datahub" -if TYPE_CHECKING: - from datahub.ingestion.source.looker.lookml_source import ( - LookerViewFileLoader, - LookMLSourceReport, - ) - logger = logging.getLogger(__name__) @@ -126,11 +128,59 @@ class LookerFolderKey(ContainerKey): folder_id: str -def remove_suffix(original: str, suffix: str) -> str: - # This can be removed in favour of original.removesuffix for python>3.8 - if original.endswith(suffix): - return original[: -len(suffix)] - return original +def deduplicate_fields(fields: List["ViewField"]) -> List["ViewField"]: + # Remove duplicates filed from self.fields + # Logic is: If more than a field has same ViewField.name then keep only one filed where ViewField.field_type + # is DIMENSION_GROUP. + # Looker Constraint: + # - Any field declared as dimension or measure can be redefined as dimension_group. + # - Any field declared in dimension can't be redefined in measure and vice-versa. + + dimension_group_field_names: List[str] = [ + field.name + for field in fields + if field.field_type == ViewFieldType.DIMENSION_GROUP + ] + + new_fields: List[ViewField] = [] + + for field in fields: + if ( + field.name in dimension_group_field_names + and field.field_type != ViewFieldType.DIMENSION_GROUP + ): + continue + + new_fields.append(field) + + return new_fields + + +def find_view_from_resolved_includes( + connection: Optional[LookerConnectionDefinition], + resolved_includes: List["ProjectInclude"], + looker_viewfile_loader: LookerViewFileLoader, + target_view_name: str, + reporter: LookMLSourceReport, +) -> Optional[Tuple["ProjectInclude", dict]]: + # It could live in one of the included files. We do not know which file the base view + # lives in, so we try them all! + for include in resolved_includes: + included_looker_viewfile = looker_viewfile_loader.load_viewfile( + include.include, + include.project, + connection, + reporter, + ) + if not included_looker_viewfile: + continue + for raw_view in included_looker_viewfile.views: + raw_view_name = raw_view["name"] + # Make sure to skip loading view we are currently trying to resolve + if raw_view_name == target_view_name: + return include, raw_view + + return None @dataclass @@ -243,7 +293,46 @@ class ViewField: project_name: Optional[str] = None view_name: Optional[str] = None is_primary_key: bool = False - upstream_fields: List[str] = dataclasses_field(default_factory=list) + tags: List[str] = dataclasses_field(default_factory=list) + + # It is the list of ColumnRef for derived view defined using SQL otherwise simple column name + upstream_fields: Union[List[ColumnRef]] = dataclasses_field(default_factory=list) + + @classmethod + def view_fields_from_dict( + cls, + field_dict: Dict, + upstream_column_ref: List[ColumnRef], + type_cls: ViewFieldType, + populate_sql_logic_in_descriptions: bool, + ) -> "ViewField": + + is_primary_key = field_dict.get("primary_key", "no") == "yes" + + name = field_dict["name"] + + native_type = field_dict.get("type", "string") + + default_description = ( + f"sql:{field_dict['sql']}" + if "sql" in field_dict and populate_sql_logic_in_descriptions + else "" + ) + + description = field_dict.get("description", default_description) + + label = field_dict.get("label", "") + + return ViewField( + name=name, + type=native_type, + label=label, + description=description, + is_primary_key=is_primary_key, + field_type=type_cls, + tags=field_dict.get("tags") or [], + upstream_fields=upstream_column_ref, + ) @dataclass @@ -251,49 +340,109 @@ class ExploreUpstreamViewField: explore: LookmlModelExplore field: LookmlModelExploreField - def _form_field_name(self): + def _form_field_name( + self, + view_project_map: Dict[str, str], + explore_project_name: str, + model_name: str, + upstream_views_file_path: Dict[str, Optional[str]], + config: LookerCommonConfig, + remove_variant: bool = False, + ) -> Optional[ColumnRef]: assert self.field.name is not None if len(self.field.name.split(".")) != 2: - return self.field.name # Inconsistent info received + return None # Inconsistent info received view_name: Optional[str] = self.explore.name - - if ( - self.field.original_view is not None - ): # if `from` is used in explore then original_view is pointing to - # lookml view + if self.field.original_view is not None: view_name = self.field.original_view field_name = self.field.name.split(".")[1] - return f"{view_name}.{field_name}" + if remove_variant and self.field.field_group_variant is not None: + # remove variant at the end. +1 for "_" + field_name = field_name[ + : -(len(self.field.field_group_variant.lower()) + 1) + ] - def upstream(self) -> str: - assert self.field.name is not None + assert view_name # for lint false positive - if self.field.dimension_group is None: # It is not part of Dimensional Group - return self._form_field_name() + project_include: ProjectInclude = ProjectInclude( + project=view_project_map.get(view_name, _BASE_PROJECT_NAME), + include=view_name, + ) + + file_path: Optional[str] = ( + upstream_views_file_path.get(view_name) + if upstream_views_file_path.get(view_name) + else ViewFieldValue.NOT_AVAILABLE.value + ) - if self.field.field_group_variant is None: - return ( - self._form_field_name() - ) # Variant i.e. Month, Day, Year ... is not available + assert file_path + + view_urn = LookerViewId( + project_name=( + project_include.project + if project_include.project != _BASE_PROJECT_NAME + else explore_project_name + ), + model_name=model_name, + view_name=project_include.include, + file_path=file_path, + ).get_urn(config) + + return ColumnRef( + table=view_urn, + column=field_name, + ) + + def upstream( + self, + view_project_map: Dict[str, str], + explore_project_name: str, + model_name: str, + upstream_views_file_path: Dict[str, Optional[str]], + config: LookerCommonConfig, + ) -> Optional[ColumnRef]: + assert self.field.name is not None + + if self.field.dimension_group is None or self.field.field_group_variant is None: + return self._form_field_name( + view_project_map, + explore_project_name, + model_name, + upstream_views_file_path, + config, + ) if self.field.type is None or not self.field.type.startswith("date_"): - return ( - self._form_field_name() + return self._form_field_name( + view_project_map, + explore_project_name, + model_name, + upstream_views_file_path, + config, ) # for Dimensional Group the type is always start with date_[time|date] if not self.field.name.endswith(f"_{self.field.field_group_variant.lower()}"): - return ( - self._form_field_name() + return self._form_field_name( + view_project_map, + explore_project_name, + model_name, + upstream_views_file_path, + config, ) # if the explore field is generated because of Dimensional Group in View # then the field_name should ends with field_group_variant - return self._form_field_name()[ - : -(len(self.field.field_group_variant.lower()) + 1) - ] # remove variant at the end. +1 for "_" + return self._form_field_name( + view_project_map, + explore_project_name, + model_name, + upstream_views_file_path, + config, + remove_variant=True, + ) def create_view_project_map(view_fields: List[ViewField]) -> Dict[str, str]: @@ -480,9 +629,7 @@ def extract_project_name_from_source_file( return None @staticmethod - def _get_field_type( - native_type: str, reporter: SourceReport - ) -> SchemaFieldDataType: + def get_field_type(native_type: str) -> SchemaFieldDataType: type_class = LookerUtil.field_type_mapping.get(native_type) if type_class is None: @@ -561,21 +708,30 @@ def _get_tag_mce_for_urn(tag_urn: str) -> MetadataChangeEvent: @staticmethod def _get_tags_from_field_type( - field_type: ViewFieldType, reporter: SourceReport + field: ViewField, reporter: SourceReport ) -> Optional[GlobalTagsClass]: - if field_type in LookerUtil.type_to_tag_map: - return GlobalTagsClass( - tags=[ + schema_field_tags: List[TagAssociationClass] = [ + TagAssociationClass(tag=builder.make_tag_urn(tag_name)) + for tag_name in field.tags + ] + + if field.field_type in LookerUtil.type_to_tag_map: + schema_field_tags.extend( + [ TagAssociationClass(tag=tag_name) - for tag_name in LookerUtil.type_to_tag_map[field_type] + for tag_name in LookerUtil.type_to_tag_map[field.field_type] ] ) else: reporter.report_warning( - "lookml", - f"Failed to map view field type {field_type}. Won't emit tags for it", + title="Failed to Map View Field Type", + message=f"Failed to map view field type {field.field_type}. Won't emit tags for measure and dimension", ) - return None + + if schema_field_tags: + return GlobalTagsClass(tags=schema_field_tags) + + return None @staticmethod def get_tag_mces() -> Iterable[MetadataChangeEvent]: @@ -593,7 +749,7 @@ def view_field_to_schema_field( ) -> SchemaField: return SchemaField( fieldPath=field.name, - type=LookerUtil._get_field_type(field.type, reporter), + type=LookerUtil.get_field_type(field.type), nativeDataType=field.type, label=field.label, description=( @@ -602,7 +758,7 @@ def view_field_to_schema_field( else f"{field.field_type.value}. {field.description}" ), globalTags=( - LookerUtil._get_tags_from_field_type(field.field_type, reporter) + LookerUtil._get_tags_from_field_type(field, reporter) if tag_measures_and_dimensions is True else None ), @@ -648,12 +804,6 @@ def create_query_request(q: dict, limit: Optional[str] = None) -> WriteQuery: ) -@dataclass(frozen=True, order=True) -class ProjectInclude: - project: str - include: str - - @dataclass class LookerExplore: name: str @@ -689,8 +839,8 @@ def from_dict( model_name: str, dict: Dict, resolved_includes: List[ProjectInclude], - looker_viewfile_loader: "LookerViewFileLoader", - reporter: "LookMLSourceReport", + looker_viewfile_loader: LookerViewFileLoader, + reporter: LookMLSourceReport, model_explores_map: Dict[str, dict], ) -> "LookerExplore": view_names: Set[str] = set() @@ -714,12 +864,6 @@ def from_dict( fields = cls._get_fields_from_sql_equality(sql_on) joins = fields - # HACK: We shouldn't be doing imports here. We also have - # circular imports that don't belong. - from datahub.ingestion.source.looker.lookml_source import ( - _find_view_from_resolved_includes, - ) - upstream_views: List[ProjectInclude] = [] # create the list of extended explores extends = list( @@ -746,7 +890,7 @@ def from_dict( else: # we only fallback to the view_names list if this is not an extended explore for view_name in view_names: - info = _find_view_from_resolved_includes( + info = find_view_from_resolved_includes( None, resolved_includes, looker_viewfile_loader, @@ -825,8 +969,9 @@ def from_api( # noqa: C901 potential_views.append(view_name) except AssertionError: reporter.report_warning( - key=f"chart-field-{field_name}", - reason="The field was not prefixed by a view name. This can happen when the field references another dynamic field.", + title="Missing View Name", + message="The field was not prefixed by a view name. This can happen when the field references another dynamic field.", + context=field_name, ) continue @@ -839,18 +984,17 @@ def from_api( # noqa: C901 views.add(view_name) view_fields: List[ViewField] = [] + field_name_vs_raw_explore_field: Dict = {} + if explore.fields is not None: + if explore.fields.dimensions is not None: for dim_field in explore.fields.dimensions: if dim_field.name is None: continue else: - dimension_upstream_field: ExploreUpstreamViewField = ( - ExploreUpstreamViewField( - explore=explore, - field=dim_field, - ) - ) + + field_name_vs_raw_explore_field[dim_field.name] = dim_field view_fields.append( ViewField( @@ -882,9 +1026,7 @@ def from_api( # noqa: C901 if dim_field.primary_key else False ), - upstream_fields=[ - dimension_upstream_field.upstream() - ], + upstream_fields=[], ) ) if explore.fields.measures is not None: @@ -892,12 +1034,10 @@ def from_api( # noqa: C901 if measure_field.name is None: continue else: - measure_upstream_field: ExploreUpstreamViewField = ( - ExploreUpstreamViewField( - explore=explore, - field=measure_field, - ) - ) + + field_name_vs_raw_explore_field[ + measure_field.name + ] = measure_field view_fields.append( ViewField( @@ -925,7 +1065,7 @@ def from_api( # noqa: C901 if measure_field.primary_key else False ), - upstream_fields=[measure_upstream_field.upstream()], + upstream_fields=[], ) ) @@ -942,6 +1082,28 @@ def from_api( # noqa: C901 if upstream_views_file_path: logger.debug(f"views and their file-paths: {upstream_views_file_path}") + # form upstream of fields as all information is now available + for view_field in view_fields: + measure_upstream_field: ExploreUpstreamViewField = ( + ExploreUpstreamViewField( + explore=explore, + field=field_name_vs_raw_explore_field[view_field.name], + ) + ) + + assert explore.project_name is not None + + column_ref: Optional[ColumnRef] = measure_upstream_field.upstream( + view_project_map=view_project_map, + explore_project_name=explore.project_name, + model_name=model, + upstream_views_file_path=upstream_views_file_path, + config=source_config, + ) + view_field.upstream_fields = ( + [column_ref] if column_ref is not None else [] + ) + return cls( name=explore_name, model_name=model, @@ -972,8 +1134,9 @@ def from_api( # noqa: C901 except AssertionError: reporter.report_warning( - key="chart-", - reason="Was unable to find dependent views for this chart", + title="Unable to find Views", + message="Encountered exception while attempting to find dependent views for this chart", + context=f"Explore: {explore_name}, Mode: {model}, Views: {views}", ) return None @@ -1054,7 +1217,8 @@ def _to_metadata_events( # noqa: C901 observed_lineage_ts = datetime.datetime.now(tz=datetime.timezone.utc) for view_ref in sorted(self.upstream_views): # set file_path to ViewFieldType.UNKNOWN if file_path is not available to keep backward compatibility - # if we raise error on file_path equal to None then existing test-cases will fail as mock data doesn't have required attributes. + # if we raise error on file_path equal to None then existing test-cases will fail as mock data + # doesn't have required attributes. file_path: str = ( cast(str, self.upstream_views_file_path[view_ref.include]) if self.upstream_views_file_path[view_ref.include] is not None @@ -1086,30 +1250,24 @@ def _to_metadata_events( # noqa: C901 fine_grained_lineages = [] if config.extract_column_level_lineage: for field in self.fields or []: - for upstream_field in field.upstream_fields: - if len(upstream_field.split(".")) >= 2: - (view_name, field_path) = upstream_field.split(".")[ - 0 - ], ".".join(upstream_field.split(".")[1:]) - assert view_name - view_urn = view_name_to_urn_map.get(view_name, "") - if view_urn: - fine_grained_lineages.append( - FineGrainedLineageClass( - upstreamType=FineGrainedLineageUpstreamType.FIELD_SET, - downstreamType=FineGrainedLineageDownstreamType.FIELD, - upstreams=[ - builder.make_schema_field_urn( - view_urn, field_path - ) - ], - downstreams=[ - builder.make_schema_field_urn( - self.get_explore_urn(config), field.name - ) - ], + for upstream_column_ref in field.upstream_fields: + fine_grained_lineages.append( + FineGrainedLineageClass( + upstreamType=FineGrainedLineageUpstreamType.FIELD_SET, + downstreamType=FineGrainedLineageDownstreamType.FIELD, + upstreams=[ + builder.make_schema_field_urn( + upstream_column_ref.table, + upstream_column_ref.column, ) - ) + ], + downstreams=[ + builder.make_schema_field_urn( + self.get_explore_urn(config), field.name + ) + ], + ) + ) upstream_lineage = UpstreamLineage( upstreams=upstreams, fineGrainedLineages=fine_grained_lineages or None diff --git a/metadata-ingestion/src/datahub/ingestion/source/looker/looker_config.py b/metadata-ingestion/src/datahub/ingestion/source/looker/looker_config.py index 8de213cfabaf0b..4ad9635069b156 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/looker/looker_config.py +++ b/metadata-ingestion/src/datahub/ingestion/source/looker/looker_config.py @@ -1,13 +1,14 @@ import dataclasses import os import re -from typing import Any, ClassVar, Dict, List, Optional, Union, cast +from typing import Any, ClassVar, Dict, List, Optional, Tuple, Union, cast import pydantic +from looker_sdk.sdk.api40.models import DBConnection from pydantic import Field, validator from datahub.configuration import ConfigModel -from datahub.configuration.common import AllowDenyPattern +from datahub.configuration.common import AllowDenyPattern, ConfigurationError from datahub.configuration.source_common import ( EnvConfigMixin, PlatformInstanceConfigMixin, @@ -143,6 +144,82 @@ class LookerCommonConfig(EnvConfigMixin, PlatformInstanceConfigMixin): ) +def _get_bigquery_definition( + looker_connection: DBConnection, +) -> Tuple[str, Optional[str], Optional[str]]: + platform = "bigquery" + # bigquery project ids are returned in the host field + db = looker_connection.host + schema = looker_connection.database + return platform, db, schema + + +def _get_generic_definition( + looker_connection: DBConnection, platform: Optional[str] = None +) -> Tuple[str, Optional[str], Optional[str]]: + if platform is None: + # We extract the platform from the dialect name + dialect_name = looker_connection.dialect_name + assert dialect_name is not None + # generally the first part of the dialect name before _ is the name of the platform + # versions are encoded as numbers and can be removed + # e.g. spark1 or hive2 or druid_18 + platform = re.sub(r"[0-9]+", "", dialect_name.split("_")[0]) + + assert ( + platform is not None + ), f"Failed to extract a valid platform from connection {looker_connection}" + db = looker_connection.database + schema = looker_connection.schema # ok for this to be None + return platform, db, schema + + +class LookerConnectionDefinition(ConfigModel): + platform: str + default_db: str + default_schema: Optional[str] # Optional since some sources are two-level only + platform_instance: Optional[str] = None + platform_env: Optional[str] = Field( + default=None, + description="The environment that the platform is located in. Leaving this empty will inherit defaults from " + "the top level Looker configuration", + ) + + @validator("platform_env") + def platform_env_must_be_one_of(cls, v: Optional[str]) -> Optional[str]: + if v is not None: + return EnvConfigMixin.env_must_be_one_of(v) + return v + + @validator("platform", "default_db", "default_schema") + def lower_everything(cls, v): + """We lower case all strings passed in to avoid casing issues later""" + if v is not None: + return v.lower() + + @classmethod + def from_looker_connection( + cls, looker_connection: DBConnection + ) -> "LookerConnectionDefinition": + """Dialect definitions are here: https://docs.looker.com/setup-and-management/database-config""" + extractors: Dict[str, Any] = { + "^bigquery": _get_bigquery_definition, + ".*": _get_generic_definition, + } + + if looker_connection.dialect_name is None: + raise ConfigurationError( + f"Unable to fetch a fully filled out connection for {looker_connection.name}. Please check your API permissions." + ) + for extractor_pattern, extracting_function in extractors.items(): + if re.match(extractor_pattern, looker_connection.dialect_name): + (platform, db, schema) = extracting_function(looker_connection) + return cls(platform=platform, default_db=db, default_schema=schema) + raise ConfigurationError( + f"Could not find an appropriate platform for looker_connection: {looker_connection.name} with dialect: {looker_connection.dialect_name}" + ) + + class LookerDashboardSourceConfig( LookerAPIConfig, LookerCommonConfig, @@ -179,7 +256,7 @@ class LookerDashboardSourceConfig( "ingest dashboards in the Shared folder space.", ) max_threads: int = Field( - os.cpu_count() or 40, + default_factory=lambda: os.cpu_count() or 40, description="Max parallelism for Looker API calls. Defaults to cpuCount or 40", ) external_base_url: Optional[str] = Field( diff --git a/metadata-ingestion/src/datahub/ingestion/source/looker/looker_connection.py b/metadata-ingestion/src/datahub/ingestion/source/looker/looker_connection.py new file mode 100644 index 00000000000000..2b7ce6f6da026d --- /dev/null +++ b/metadata-ingestion/src/datahub/ingestion/source/looker/looker_connection.py @@ -0,0 +1,55 @@ +import logging +from typing import Optional + +from looker_sdk.error import SDKError +from looker_sdk.sdk.api40.models import DBConnection + +from datahub.configuration.common import ConfigurationError +from datahub.ingestion.source.looker.looker_config import LookerConnectionDefinition +from datahub.ingestion.source.looker.looker_lib_wrapper import LookerAPI +from datahub.ingestion.source.looker.lookml_config import ( + LookMLSourceConfig, + LookMLSourceReport, +) + +logger = logging.getLogger(__name__) + + +def get_connection_def_based_on_connection_string( + connection: str, + source_config: LookMLSourceConfig, + looker_client: Optional[LookerAPI], + reporter: LookMLSourceReport, +) -> Optional[LookerConnectionDefinition]: + if source_config.connection_to_platform_map is None: + source_config.connection_to_platform_map = {} + + assert source_config.connection_to_platform_map is not None + + connection_def: Optional[LookerConnectionDefinition] = None + + if connection in source_config.connection_to_platform_map: + connection_def = source_config.connection_to_platform_map[connection] + elif looker_client: + try: + looker_connection: DBConnection = looker_client.connection(connection) + except SDKError: + logger.error( + f"Failed to retrieve connection {connection} from Looker. This usually happens when the " + f"credentials provided are not admin credentials." + ) + else: + try: + connection_def = LookerConnectionDefinition.from_looker_connection( + looker_connection + ) + + # Populate the cache (using the config map) to avoid calling looker again for this connection + source_config.connection_to_platform_map[connection] = connection_def + except ConfigurationError: + reporter.report_warning( + f"connection-{connection}", + "Failed to load connection from Looker", + ) + + return connection_def diff --git a/metadata-ingestion/src/datahub/ingestion/source/looker/looker_dataclasses.py b/metadata-ingestion/src/datahub/ingestion/source/looker/looker_dataclasses.py new file mode 100644 index 00000000000000..adaa3c4875450e --- /dev/null +++ b/metadata-ingestion/src/datahub/ingestion/source/looker/looker_dataclasses.py @@ -0,0 +1,290 @@ +import glob +import logging +import pathlib +from dataclasses import dataclass +from typing import Dict, List, Optional, Set + +from datahub.ingestion.source.looker.lkml_patched import load_lkml +from datahub.ingestion.source.looker.looker_connection import LookerConnectionDefinition +from datahub.ingestion.source.looker.lookml_config import ( + _BASE_PROJECT_NAME, + _EXPLORE_FILE_EXTENSION, + LookMLSourceReport, +) + +logger = logging.getLogger(__name__) + + +@dataclass(frozen=True, order=True) +class ProjectInclude: + project: str + include: str + + +@dataclass +class LookerField: + name: str + primary_key: str # possible values yes and no + type: str + sql: Optional[str] + + +@dataclass +class LookerModel: + connection: str + includes: List[str] + explores: List[dict] + resolved_includes: List[ProjectInclude] + + @staticmethod + def from_looker_dict( + looker_model_dict: dict, + base_project_name: str, + root_project_name: Optional[str], + base_projects_folders: Dict[str, pathlib.Path], + path: str, + reporter: LookMLSourceReport, + ) -> "LookerModel": + logger.debug(f"Loading model from {path}") + connection = looker_model_dict["connection"] + includes = looker_model_dict.get("includes", []) + resolved_includes = LookerModel.resolve_includes( + includes, + base_project_name, + root_project_name, + base_projects_folders, + path, + reporter, + seen_so_far=set(), + traversal_path=pathlib.Path(path).stem, + ) + logger.debug(f"{path} has resolved_includes: {resolved_includes}") + explores = looker_model_dict.get("explores", []) + + explore_files = [ + x.include + for x in resolved_includes + if x.include.endswith(_EXPLORE_FILE_EXTENSION) + ] + for included_file in explore_files: + try: + parsed = load_lkml(included_file) + included_explores = parsed.get("explores", []) + explores.extend(included_explores) + except Exception as e: + reporter.report_warning( + title="Error Loading Include", + message="Failed to load include file", + context=f"Include Details: {included_file}", + exc=e, + ) + # continue in this case, as it might be better to load and resolve whatever we can + + return LookerModel( + connection=connection, + includes=includes, + resolved_includes=resolved_includes, + explores=explores, + ) + + @staticmethod + def resolve_includes( + includes: List[str], + project_name: str, + root_project_name: Optional[str], + base_projects_folder: Dict[str, pathlib.Path], + path: str, + reporter: LookMLSourceReport, + seen_so_far: Set[str], + traversal_path: str = "", # a cosmetic parameter to aid debugging + ) -> List[ProjectInclude]: + """Resolve ``include`` statements in LookML model files to a list of ``.lkml`` files. + + For rules on how LookML ``include`` statements are written, see + https://docs.looker.com/data-modeling/getting-started/ide-folders#wildcard_examples + """ + + resolved = [] + for inc in includes: + # Filter out dashboards - we get those through the looker source. + if ( + inc.endswith(".dashboard") + or inc.endswith(".dashboard.lookml") + or inc.endswith(".dashboard.lkml") + ): + logger.debug(f"include '{inc}' is a dashboard, skipping it") + continue + + resolved_project_name = project_name + resolved_project_folder = str(base_projects_folder[project_name]) + + # Massage the looker include into a valid glob wildcard expression + if inc.startswith("//"): + # remote include, let's see if we have the project checked out locally + (remote_project, project_local_path) = inc[2:].split("/", maxsplit=1) + if remote_project in base_projects_folder: + resolved_project_folder = str(base_projects_folder[remote_project]) + glob_expr = f"{resolved_project_folder}/{project_local_path}" + resolved_project_name = remote_project + else: + logger.warning( + f"Resolving {inc} failed. Could not find a locally checked out reference for {remote_project}" + ) + continue + elif inc.startswith("/"): + glob_expr = f"{resolved_project_folder}{inc}" + + # The include path is sometimes '/{project_name}/{path_within_project}' + # instead of '//{project_name}/{path_within_project}' or '/{path_within_project}'. + # + # TODO: I can't seem to find any documentation on this pattern, but we definitely + # have seen it in the wild. Example from Mozilla's public looker-hub repo: + # https://github.com/mozilla/looker-hub/blob/f491ca51ce1add87c338e6723fd49bc6ae4015ca/fenix/explores/activation.explore.lkml#L7 + # As such, we try to handle it but are as defensive as possible. + + non_base_project_name = project_name + if project_name == _BASE_PROJECT_NAME and root_project_name is not None: + non_base_project_name = root_project_name + if non_base_project_name != _BASE_PROJECT_NAME and inc.startswith( + f"/{non_base_project_name}/" + ): + # This might be a local include. Let's make sure that '/{project_name}' doesn't + # exist as normal include in the project. + if not pathlib.Path( + f"{resolved_project_folder}/{non_base_project_name}" + ).exists(): + path_within_project = pathlib.Path(*pathlib.Path(inc).parts[2:]) + glob_expr = f"{resolved_project_folder}/{path_within_project}" + else: + # Need to handle a relative path. + glob_expr = str(pathlib.Path(path).parent / inc) + # "**" matches an arbitrary number of directories in LookML + # we also resolve these paths to absolute paths so we can de-dup effectively later on + included_files = [ + str(p.resolve()) + for p in [ + pathlib.Path(p) + for p in sorted( + glob.glob(glob_expr, recursive=True) + + glob.glob(f"{glob_expr}.lkml", recursive=True) + ) + ] + # We don't want to match directories. The '**' glob can be used to + # recurse into directories. + if p.is_file() + ] + logger.debug( + f"traversal_path={traversal_path}, included_files = {included_files}, seen_so_far: {seen_so_far}" + ) + if "*" not in inc and not included_files: + reporter.report_failure( + title="Error Resolving Include", + message=f"Cannot resolve include {inc}", + context=f"Path: {path}", + ) + elif not included_files: + reporter.report_failure( + title="Error Resolving Include", + message=f"Did not resolve anything for wildcard include {inc}", + context=f"Path: {path}", + ) + # only load files that we haven't seen so far + included_files = [x for x in included_files if x not in seen_so_far] + for included_file in included_files: + # Filter out dashboards - we get those through the looker source. + if ( + included_file.endswith(".dashboard") + or included_file.endswith(".dashboard.lookml") + or included_file.endswith(".dashboard.lkml") + ): + logger.debug( + f"include '{included_file}' is a dashboard, skipping it" + ) + continue + + logger.debug( + f"Will be loading {included_file}, traversed here via {traversal_path}" + ) + try: + parsed = load_lkml(included_file) + seen_so_far.add(included_file) + if "includes" in parsed: # we have more includes to resolve! + resolved.extend( + LookerModel.resolve_includes( + parsed["includes"], + resolved_project_name, + root_project_name, + base_projects_folder, + included_file, + reporter, + seen_so_far, + traversal_path=traversal_path + + "." + + pathlib.Path(included_file).stem, + ) + ) + except Exception as e: + reporter.report_warning( + title="Error Loading Include File", + message="Failed to load included file", + context=f"Include Details: {included_file}", + exc=e, + ) + # continue in this case, as it might be better to load and resolve whatever we can + + resolved.extend( + [ + ProjectInclude(project=resolved_project_name, include=f) + for f in included_files + ] + ) + return resolved + + +@dataclass +class LookerViewFile: + absolute_file_path: str + connection: Optional[LookerConnectionDefinition] + includes: List[str] + resolved_includes: List[ProjectInclude] + views: List[Dict] + raw_file_content: str + + @classmethod + def from_looker_dict( + cls, + absolute_file_path: str, + looker_view_file_dict: dict, + project_name: str, + root_project_name: Optional[str], + base_projects_folder: Dict[str, pathlib.Path], + raw_file_content: str, + reporter: LookMLSourceReport, + ) -> "LookerViewFile": + logger.debug(f"Loading view file at {absolute_file_path}") + includes = looker_view_file_dict.get("includes", []) + resolved_path = str(pathlib.Path(absolute_file_path).resolve()) + seen_so_far = set() + seen_so_far.add(resolved_path) + resolved_includes = LookerModel.resolve_includes( + includes, + project_name, + root_project_name, + base_projects_folder, + absolute_file_path, + reporter, + seen_so_far=seen_so_far, + ) + logger.debug( + f"resolved_includes for {absolute_file_path} is {resolved_includes}" + ) + views = looker_view_file_dict.get("views", []) + + return cls( + absolute_file_path=absolute_file_path, + connection=None, + includes=includes, + resolved_includes=resolved_includes, + views=views, + raw_file_content=raw_file_content, + ) diff --git a/metadata-ingestion/src/datahub/ingestion/source/looker/looker_file_loader.py b/metadata-ingestion/src/datahub/ingestion/source/looker/looker_file_loader.py new file mode 100644 index 00000000000000..1b6619b4c4d287 --- /dev/null +++ b/metadata-ingestion/src/datahub/ingestion/source/looker/looker_file_loader.py @@ -0,0 +1,113 @@ +import logging +import pathlib +from dataclasses import replace +from typing import Any, Dict, Optional + +from datahub.ingestion.source.looker.lkml_patched import load_lkml +from datahub.ingestion.source.looker.looker_config import LookerConnectionDefinition +from datahub.ingestion.source.looker.looker_dataclasses import LookerViewFile +from datahub.ingestion.source.looker.looker_template_language import ( + resolve_liquid_variable_in_view_dict, +) +from datahub.ingestion.source.looker.lookml_config import ( + _EXPLORE_FILE_EXTENSION, + _VIEW_FILE_EXTENSION, + LookMLSourceReport, +) + +logger = logging.getLogger(__name__) + + +class LookerViewFileLoader: + """ + Loads the looker viewfile at a :path and caches the LookerViewFile in memory + This is to avoid reloading the same file off of disk many times during the recursive include resolution process + """ + + def __init__( + self, + root_project_name: Optional[str], + base_projects_folder: Dict[str, pathlib.Path], + reporter: LookMLSourceReport, + liquid_variable: Dict[Any, Any], + ) -> None: + self.viewfile_cache: Dict[str, LookerViewFile] = {} + self._root_project_name = root_project_name + self._base_projects_folder = base_projects_folder + self.reporter = reporter + self.liquid_variable = liquid_variable + + def is_view_seen(self, path: str) -> bool: + return path in self.viewfile_cache + + def _load_viewfile( + self, project_name: str, path: str, reporter: LookMLSourceReport + ) -> Optional[LookerViewFile]: + # always fully resolve paths to simplify de-dup + path = str(pathlib.Path(path).resolve()) + allowed_extensions = [_VIEW_FILE_EXTENSION, _EXPLORE_FILE_EXTENSION] + matched_any_extension = [ + match for match in [path.endswith(x) for x in allowed_extensions] if match + ] + if not matched_any_extension: + # not a view file + logger.debug( + f"Skipping file {path} because it doesn't appear to be a view file. Matched extensions {allowed_extensions}" + ) + return None + + if self.is_view_seen(str(path)): + return self.viewfile_cache[path] + + try: + with open(path) as file: + raw_file_content = file.read() + except Exception as e: + logger.debug(f"An error occurred while reading path {path}", exc_info=True) + self.reporter.report_failure( + path, f"failed to load view file {path} from disk: {e}" + ) + return None + try: + logger.debug(f"Loading viewfile {path}") + + parsed = load_lkml(path) + + resolve_liquid_variable_in_view_dict( + raw_view=parsed, + liquid_variable=self.liquid_variable, + ) + + looker_viewfile = LookerViewFile.from_looker_dict( + absolute_file_path=path, + looker_view_file_dict=parsed, + project_name=project_name, + root_project_name=self._root_project_name, + base_projects_folder=self._base_projects_folder, + raw_file_content=raw_file_content, + reporter=reporter, + ) + logger.debug(f"adding viewfile for path {path} to the cache") + self.viewfile_cache[path] = looker_viewfile + return looker_viewfile + except Exception as e: + logger.debug(f"An error occurred while parsing path {path}", exc_info=True) + self.reporter.report_failure(path, f"failed to load view file {path}: {e}") + return None + + def load_viewfile( + self, + path: str, + project_name: str, + connection: Optional[LookerConnectionDefinition], + reporter: LookMLSourceReport, + ) -> Optional[LookerViewFile]: + viewfile = self._load_viewfile( + project_name=project_name, + path=path, + reporter=reporter, + ) + if viewfile is None: + return None + + return replace(viewfile, connection=connection) diff --git a/metadata-ingestion/src/datahub/ingestion/source/looker/looker_liquid_tag.py b/metadata-ingestion/src/datahub/ingestion/source/looker/looker_liquid_tag.py new file mode 100644 index 00000000000000..35231d273fbba4 --- /dev/null +++ b/metadata-ingestion/src/datahub/ingestion/source/looker/looker_liquid_tag.py @@ -0,0 +1,104 @@ +from functools import lru_cache +from typing import ClassVar, Optional, TextIO, cast + +from liquid import Environment +from liquid.ast import Node +from liquid.context import Context +from liquid.parse import expect, get_parser +from liquid.stream import TokenStream +from liquid.tag import Tag +from liquid.template import BoundTemplate +from liquid.token import TOKEN_EXPRESSION, TOKEN_LITERAL, TOKEN_TAG, Token + + +class CustomTagException(Exception): + def __init__(self, message): + super().__init__(message) + + +class ConditionNode(Node): + def __init__(self, tok: Token, sql_or_lookml_reference: str, filter_name: str): + self.tok = tok + + self.sql_or_lookml_reference = sql_or_lookml_reference + + self.filter_name = filter_name + + def render_to_output(self, context: Context, buffer: TextIO) -> Optional[bool]: + filter_value: Optional[str] = cast( + str, context.globals.get(self.filter_name) + ) # to silent lint + + if filter_value is None: + raise CustomTagException( + f'filter {self.filter_name} value is not provided for "condition" tag' + ) + + filter_value = filter_value.strip() + + buffer.write(f"{self.sql_or_lookml_reference}='{filter_value}'") + + return True + + +# Define the custom tag +class ConditionTag(Tag): + """ + ConditionTag is the equivalent implementation of looker's custom liquid tag "condition". + Refer doc: https://cloud.google.com/looker/docs/templated-filters#basic_usage + + Refer doc to see how to write liquid custom tag: https://jg-rp.github.io/liquid/guides/custom-tags + + This class render the below tag as order.region='ap-south-1' if order_region is provided in config.liquid_variables + as order_region: 'ap-south-1' + {% condition order_region %} order.region {% endcondition %} + + """ + + TAG_START: ClassVar[str] = "condition" + TAG_END: ClassVar[str] = "endcondition" + name: str = "condition" + + def __init__(self, env: Environment): + super().__init__(env) + self.parser = get_parser(self.env) + + def parse(self, stream: TokenStream) -> Node: + expect(stream, TOKEN_TAG, value=ConditionTag.TAG_START) + + start_token = stream.current + + stream.next_token() + expect(stream, TOKEN_EXPRESSION) + filter_name: str = stream.current.value.strip() + + stream.next_token() + expect(stream, TOKEN_LITERAL) + + sql_or_lookml_reference: str = stream.current.value.strip() + + stream.next_token() + expect(stream, TOKEN_TAG, value=ConditionTag.TAG_END) + + return ConditionNode( + tok=start_token, + sql_or_lookml_reference=sql_or_lookml_reference, + filter_name=filter_name, + ) + + +custom_tags = [ConditionTag] + + +@lru_cache(maxsize=1) +def _create_env() -> Environment: + env: Environment = Environment() + # register tag. One time activity + for custom_tag in custom_tags: + env.add_tag(custom_tag) + return env + + +def create_template(text: str) -> BoundTemplate: + env: Environment = _create_env() + return env.from_string(text) diff --git a/metadata-ingestion/src/datahub/ingestion/source/looker/looker_source.py b/metadata-ingestion/src/datahub/ingestion/source/looker/looker_source.py index 031186bb6e7a2c..d951a6dbe7a626 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/looker/looker_source.py +++ b/metadata-ingestion/src/datahub/ingestion/source/looker/looker_source.py @@ -284,8 +284,9 @@ def _get_views_from_fields(self, fields: List[str]) -> List[str]: views.add(view_name) except AssertionError: self.reporter.report_warning( - key=f"chart-field-{field_name}", - reason="The field was not prefixed by a view name. This can happen when the field references another dynamic field.", + title="Failed to Extract View Name from Field", + message="The field was not prefixed by a view name. This can happen when the field references another dynamic field.", + context=f"Field Name: {field_name}", ) continue @@ -370,7 +371,8 @@ def _get_input_fields_from_query( if field is None: continue - # we haven't loaded in metadata about the explore yet, so we need to wait until explores are populated later to fetch this + # we haven't loaded in metadata about the explore yet, so we need to wait until explores are populated + # later to fetch this result.append( InputFieldElement( name=field, view_field=None, model=query.model, explore=query.view @@ -593,16 +595,18 @@ def _get_chart_type( type_str = dashboard_element.type if not type_str: self.reporter.report_warning( - key=f"looker-chart-{dashboard_element.id}", - reason=f"Chart type {type_str} is missing. Setting to None", + title="Unrecognized Chart Type", + message=f"Chart type {type_str} is not recognized. Setting to None", + context=f"Dashboard Id: {dashboard_element.id}", ) return None try: chart_type = type_mapping[type_str] except KeyError: self.reporter.report_warning( - key=f"looker-chart-{dashboard_element.id}", - reason=f"Chart type {type_str} not supported. Setting to None", + title="Unrecognized Chart Type", + message=f"Chart type {type_str} is not recognized. Setting to None", + context=f"Dashboard Id: {dashboard_element.id}", ) chart_type = None @@ -1251,8 +1255,9 @@ def process_dashboard( except SDKError: # A looker dashboard could be deleted in between the list and the get self.reporter.report_warning( - dashboard_id, - f"Error occurred while loading dashboard {dashboard_id}. Skipping.", + title="Error Loading Dashboard", + message="Error occurred while attempting to loading dashboard from Looker API. Skipping.", + context=f"Dashboard ID: {dashboard_id}", ) return [], None, dashboard_id, start_time, datetime.datetime.now() @@ -1262,7 +1267,9 @@ def process_dashboard( or dashboard_object.folder.is_personal_descendant ): self.reporter.report_warning( - dashboard_id, "Dropped due to being a personal folder" + title="Dropped Dashboard", + message="Dropped due to being a personal folder", + context=f"Dashboard ID: {dashboard_id}", ) self.reporter.report_dashboards_dropped(dashboard_id) return [], None, dashboard_id, start_time, datetime.datetime.now() @@ -1540,7 +1547,7 @@ def get_workunits_internal(self) -> Iterable[MetadataWorkUnit]: ): # Looks like we tried to extract owners and could not find their email addresses. This is likely a permissions issue self.reporter.report_warning( - "api", + "Failed to extract owner emails", "Failed to extract owners emails for any dashboards. Please enable the see_users permission for your Looker API key", ) diff --git a/metadata-ingestion/src/datahub/ingestion/source/looker/looker_template_language.py b/metadata-ingestion/src/datahub/ingestion/source/looker/looker_template_language.py new file mode 100644 index 00000000000000..919d9232a18c5c --- /dev/null +++ b/metadata-ingestion/src/datahub/ingestion/source/looker/looker_template_language.py @@ -0,0 +1,115 @@ +import logging +import re +from typing import Any, ClassVar, Dict, Set + +from liquid import Undefined +from liquid.exceptions import LiquidSyntaxError + +from datahub.ingestion.source.looker.looker_liquid_tag import ( + CustomTagException, + create_template, +) +from datahub.ingestion.source.looker.str_functions import ( + remove_extra_spaces_and_newlines, +) + +logger = logging.getLogger(__name__) + + +class SpecialVariable: + SPECIAL_VARIABLE_PATTERN: ClassVar[ + str + ] = r"\b\w+(\.\w+)*\._(is_selected|in_query|is_filtered)\b" + liquid_variable: dict + + def __init__(self, liquid_variable): + self.liquid_variable = liquid_variable + + def _create_new_liquid_variables_with_default( + self, + variables: Set[str], + ) -> dict: + new_dict = {**self.liquid_variable} + + for variable in variables: + keys = variable.split( + "." + ) # variable is defined as view._is_selected or view.field_name._is_selected + + current_dict: dict = new_dict + + for key in keys[:-1]: + + if key not in current_dict: + current_dict[key] = {} + + current_dict = current_dict[key] + + if keys[-1] not in current_dict: + current_dict[keys[-1]] = True + + logger.debug("added special variables in liquid_variable dictionary") + + return new_dict + + def liquid_variable_with_default(self, text: str) -> dict: + variables: Set[str] = set( + [ + text[m.start() : m.end()] + for m in re.finditer(SpecialVariable.SPECIAL_VARIABLE_PATTERN, text) + ] + ) + + # if set is empty then no special variables are found. + if not variables: + return self.liquid_variable + + return self._create_new_liquid_variables_with_default(variables=variables) + + +def resolve_liquid_variable(text: str, liquid_variable: Dict[Any, Any]) -> str: + # Set variable value to NULL if not present in liquid_variable dictionary + Undefined.__str__ = lambda instance: "NULL" # type: ignore + try: + # See is there any special boolean variables are there in the text like _in_query, _is_selected, and + # _is_filtered. Refer doc for more information + # https://cloud.google.com/looker/docs/liquid-variable-reference#usage_of_in_query_is_selected_and_is_filtered + # update in liquid_variable with there default values + liquid_variable = SpecialVariable(liquid_variable).liquid_variable_with_default( + text + ) + # Resolve liquid template + return create_template(text).render(liquid_variable) + except LiquidSyntaxError as e: + logger.warning(f"Unsupported liquid template encountered. error [{e.message}]") + # TODO: There are some tag specific to looker and python-liquid library does not understand them. currently + # we are not parsing such liquid template. + # + # See doc: https://cloud.google.com/looker/docs/templated-filters and look for { % condition region %} + # order.region { % endcondition %} + except CustomTagException as e: + logger.warning(e) + logger.debug(e, exc_info=e) + + return text + + +def resolve_liquid_variable_in_view_dict( + raw_view: dict, liquid_variable: Dict[Any, Any] +) -> None: + if "views" not in raw_view: + return + + for view in raw_view["views"]: + if "sql_table_name" in view: + view["sql_table_name"] = resolve_liquid_variable( + text=remove_extra_spaces_and_newlines(view["sql_table_name"]), + liquid_variable=liquid_variable, + ) + + if "derived_table" in view and "sql" in view["derived_table"]: + # In sql we don't need to remove the extra spaces as sql parser takes care of extra spaces and \n + # while generating URN from sql + view["derived_table"]["sql"] = resolve_liquid_variable( + text=view["derived_table"]["sql"], liquid_variable=liquid_variable + ) diff --git a/metadata-ingestion/src/datahub/ingestion/source/looker/looker_view_id_cache.py b/metadata-ingestion/src/datahub/ingestion/source/looker/looker_view_id_cache.py new file mode 100644 index 00000000000000..aa45bb72d1f462 --- /dev/null +++ b/metadata-ingestion/src/datahub/ingestion/source/looker/looker_view_id_cache.py @@ -0,0 +1,120 @@ +import logging +from typing import Dict, List, Optional + +from datahub.ingestion.source.looker.looker_common import LookerViewId, ViewFieldValue +from datahub.ingestion.source.looker.looker_config import LookerConnectionDefinition +from datahub.ingestion.source.looker.looker_dataclasses import LookerModel +from datahub.ingestion.source.looker.looker_file_loader import LookerViewFileLoader +from datahub.ingestion.source.looker.lookml_config import ( + _BASE_PROJECT_NAME, + NAME, + LookMLSourceReport, +) + +logger = logging.getLogger(__name__) + + +def determine_view_file_path(base_folder_path: str, absolute_file_path: str) -> str: + splits: List[str] = absolute_file_path.split(base_folder_path, 1) + if len(splits) != 2: + logger.debug( + f"base_folder_path({base_folder_path}) and absolute_file_path({absolute_file_path}) not matching" + ) + return ViewFieldValue.NOT_AVAILABLE.value + + file_path: str = splits[1] + logger.debug(f"file_path={file_path}") + + return file_path.strip( + "/" + ) # strip / from path to make it equivalent to source_file attribute of LookerModelExplore API + + +class LookerViewIdCache: + """ + For view to view lineage we require LookerViewId object to form urn in advance for lineage generation. + The case where a view is referencing to another view using derived table can be located in this cache. + + Example: Consider a view registration_monthly_phasing has below SQL + SELECT * + + FROM ${registration_daily_phasing.SQL_TABLE_NAME} + + {% if date_sel._parameter_value == "'Weekly'"%} + WHERE DW_EFF_DT < DATEADD(DAY, (-DAYOFWEEK(current_date()) - 1),current_date()) + {% endif %} + + While generating MCPs for registration_monthly_phasing, the connector can look for view id + of registration_daily_phasing in this cache to generate the lineage between registration_monthly_phasing + and registration_daily_phasing + + This cache can be used for many other use case. + """ + + looker_model: LookerModel + looker_viewfile_loader: LookerViewFileLoader + project_name: str + model_name: str + reporter: LookMLSourceReport + looker_view_id_cache: Dict[ + str, LookerViewId + ] # Map of view-name as key, and LookerViewId instance as value + + def __init__( + self, + project_name: str, + model_name: str, + looker_model: LookerModel, + looker_viewfile_loader: LookerViewFileLoader, + reporter: LookMLSourceReport, + ): + self.project_name = project_name + self.model_name = model_name + self.looker_model = looker_model + self.looker_viewfile_loader = looker_viewfile_loader + self.looker_view_id_cache = {} + self.reporter = reporter + + def get_looker_view_id( + self, + view_name: str, + base_folder_path: str, + connection: Optional[LookerConnectionDefinition] = None, + ) -> Optional[LookerViewId]: + if view_name in self.looker_view_id_cache: + return self.looker_view_id_cache[view_name] + + for include in self.looker_model.resolved_includes: + included_looker_viewfile = self.looker_viewfile_loader.load_viewfile( + path=include.include, + project_name=include.project, + reporter=self.reporter, + connection=connection, + ) + + if included_looker_viewfile is None: + continue + + for view in included_looker_viewfile.views: + if view[NAME] == view_name: + file_path = determine_view_file_path( + base_folder_path, included_looker_viewfile.absolute_file_path + ) + + current_project_name: str = ( + include.project + if include.project != _BASE_PROJECT_NAME + else self.project_name + ) + + looker_view_id: LookerViewId = LookerViewId( + project_name=current_project_name, + model_name=self.model_name, + view_name=view_name, + file_path=file_path, + ) + + self.looker_view_id_cache[view_name] = looker_view_id + return looker_view_id + + return None diff --git a/metadata-ingestion/src/datahub/ingestion/source/looker/lookml_concept_context.py b/metadata-ingestion/src/datahub/ingestion/source/looker/lookml_concept_context.py new file mode 100644 index 00000000000000..e528e578dcf9fa --- /dev/null +++ b/metadata-ingestion/src/datahub/ingestion/source/looker/lookml_concept_context.py @@ -0,0 +1,414 @@ +import itertools +import logging +import re +from typing import Any, Dict, List, Optional + +from datahub.ingestion.source.looker.looker_common import ( + ViewFieldValue, + find_view_from_resolved_includes, +) +from datahub.ingestion.source.looker.looker_config import LookerConnectionDefinition +from datahub.ingestion.source.looker.looker_dataclasses import LookerViewFile +from datahub.ingestion.source.looker.looker_file_loader import LookerViewFileLoader +from datahub.ingestion.source.looker.lookml_config import ( + DERIVED_VIEW_PATTERN, + DERIVED_VIEW_SUFFIX, + NAME, + LookMLSourceReport, +) +from datahub.ingestion.source.looker.lookml_refinement import LookerRefinementResolver + +logger = logging.getLogger(__name__) + + +class LookerFieldContext: + raw_field: Dict[Any, Any] + + def __init__(self, raw_field: Dict[Any, Any]): + self.raw_field = raw_field + + def name(self) -> str: + return self.raw_field[NAME] + + def sql(self) -> Optional[str]: + return self.raw_field.get("sql") + + def column_name_in_sql_attribute(self) -> List[str]: + if self.sql() is None: + # If no "sql" is specified, we assume this is referencing an upstream field + # with the same name. This commonly happens for extends and derived tables. + return [self.name()] + + column_names: List[str] = [] + + sql: Optional[str] = self.sql() + + assert sql # to silent lint false positive + + for upstream_field_match in re.finditer(r"\${TABLE}\.[\"]*([\.\w]+)", sql): + matched_field = upstream_field_match.group(1) + # Remove quotes from field names + matched_field = matched_field.replace('"', "").replace("`", "").lower() + column_names.append(matched_field) + + return column_names + + +class LookerViewContext: + """ + There are six patterns to associate the view's fields with dataset + + Pattern1: + view: view_name { + ... measure and dimension definition i.e. fields of a view + } + + In Pattern1 the fields' upstream dataset name is equivalent to view_name and this dataset should be present in + the connection. + + Pattern2: + view: view_name { + sql_table_name: dataset-name + + ... measure and dimension definition i.e. fields of a view + } + + In Pattern2 the fields' upstream dataset name is mentioned in "sql_table_name" attribute and this dataset + should be present in the connection. + + Pattern3: + view: view_name { + sql_table_name: ".SQL_TABLE_NAME" + + ... measure and dimension definition i.e. fields of a view + } + + In Pattern3 the fields' upstream is another view in same looker project. + + Pattern4: + view: view_name { + derived_table: + sql: + ... SQL select query + + ... measure and dimension definition i.e. fields of a view + } + + In Pattern4 the fields' upstream dataset is the output of sql mentioned in derived_table.sql. + + Pattern5: + view: view_name { + derived_table: + explore_source: + ... LookML native query + + ... measure and dimension definition i.e. fields of a view + } + + In Pattern5 the fields' upstream dataset is the output of LookML native query mentioned in + derived_table.explore_source. + + In all patterns the "sql_table_name" or "derived_table" field might present in parent view instead of current + view (see "extends" doc https://cloud.google.com/looker/docs/reference/param-view-extends) + + In all the patterns the common thing is field definition and fields are defined as + # Dimensions + dimension: id { + primary_key: yes + type: number + sql: ${TABLE}.id ;; + } + + # Measures + measure: total_revenue { + type: sum + sql: ${TABLE}.total_revenue ;; + } + + Here "sql" attribute is referring to column present in upstream dataset. + + This sql can be complex sql, see below example + + dimension: profit_in_dollars { type: number sql: ${TABLE}.revenue_in_dollars - ${TABLE}.cost_in_dollars ;; } + Here "profit_in_dollars" has two upstream columns from upstream dataset i.e. revenue_in_dollars and + cost_in_dollars. + + There is one special case of view definition, which is actually not useful but still a valid lookml definition. We + call it pattern 6. Refer below lookml + + view: customer_facts { + derived_table: { + sql: + SELECT + customer_id, + SUM(sale_price) AS lifetime_spend + FROM + order + WHERE + {% if order.region == "ap-south-1" %} + region = "AWS_AP_SOUTH_1" + {% else %} + region = "GCP_SOUTH_1" + {% endif %} + GROUP BY 1 + ;; + } + } + + The customer_facts view is not useful for looker as there is no field definition, but still such view appears in + connector test-cases, and it might be present on customer side + + For all possible options of "sql" attribute please refer looker doc: + https://cloud.google.com/looker/docs/reference/param-field-sql + + """ + + raw_view: Dict + view_file: LookerViewFile + view_connection: LookerConnectionDefinition + view_file_loader: LookerViewFileLoader + looker_refinement_resolver: LookerRefinementResolver + base_folder_path: str + reporter: LookMLSourceReport + + def __init__( + self, + raw_view: Dict, + view_file: LookerViewFile, + view_connection: LookerConnectionDefinition, + view_file_loader: LookerViewFileLoader, + looker_refinement_resolver: LookerRefinementResolver, + base_folder_path: str, + reporter: LookMLSourceReport, + ): + self.raw_view = raw_view + self.view_file = view_file + self.view_connection = view_connection + self.view_file_loader = view_file_loader + self.looker_refinement_resolver = looker_refinement_resolver + self.base_folder_path = base_folder_path + self.reporter = reporter + + def resolve_extends_view_name( + self, + target_view_name: str, + ) -> Optional[dict]: + # The view could live in the same file. + for raw_view in self.view_file.views: + raw_view_name = raw_view["name"] + if raw_view_name == target_view_name: + return self.looker_refinement_resolver.apply_view_refinement(raw_view) + + # Or, it could live in one of the imports. + view = find_view_from_resolved_includes( + connection=self.view_connection, + resolved_includes=self.view_file.resolved_includes, + looker_viewfile_loader=self.view_file_loader, + target_view_name=target_view_name, + reporter=self.reporter, + ) + + if view: + return self.looker_refinement_resolver.apply_view_refinement(view[1]) + else: + logger.warning( + f"failed to resolve view {target_view_name} included from {self.view_file.absolute_file_path}" + ) + return None + + def get_including_extends( + self, + field: str, + ) -> Optional[Any]: + extends = list( + itertools.chain.from_iterable( + self.raw_view.get("extends", self.raw_view.get("extends__all", [])) + ) + ) + + # First, check the current view. + if field in self.raw_view: + return self.raw_view[field] + + # The field might be defined in another view and this view is extending that view, + # so we resolve this field while taking that into account. + # following Looker's precedence rules. + for extend in reversed(extends): + assert extend != self.raw_view[NAME], "a view cannot extend itself" + extend_view = self.resolve_extends_view_name( + extend, + ) + if not extend_view: + raise NameError( + f"failed to resolve extends view {extend} in view {self.raw_view[NAME]} of" + f" file {self.view_file.absolute_file_path}" + ) + if field in extend_view: + return extend_view[field] + + return None + + def _get_sql_table_name_field(self) -> Optional[str]: + return self.get_including_extends(field="sql_table_name") + + def _is_dot_sql_table_name_present(self) -> bool: + sql_table_name: Optional[str] = self._get_sql_table_name_field() + + if sql_table_name is None: + return False + + if DERIVED_VIEW_SUFFIX in sql_table_name.lower(): + return True + + return False + + def sql_table_name(self) -> str: + sql_table_name: Optional[str] = self._get_sql_table_name_field() + # if sql_table_name field is not set then the table name is equal to view-name + if sql_table_name is None: + return self.raw_view[NAME].lower() + + # sql_table_name is in the format "${view-name}.SQL_TABLE_NAME" + # remove extra characters + if self._is_dot_sql_table_name_present(): + sql_table_name = re.sub(DERIVED_VIEW_PATTERN, r"\1", sql_table_name) + + # Some sql_table_name fields contain quotes like: optimizely."group", just remove the quotes + return sql_table_name.replace('"', "").replace("`", "").lower() + + def derived_table(self) -> Dict[Any, Any]: + """ + This function should only be called if is_native_derived_case return true + """ + derived_table = self.get_including_extends(field="derived_table") + + assert derived_table, "derived_table should not be None" + + return derived_table + + def explore_source(self) -> Dict[Any, Any]: + """ + This function should only be called if is_native_derived_case return true + """ + derived_table = self.derived_table() + + assert derived_table.get("explore_source"), "explore_source should not be None" + + return derived_table["explore_source"] + + def sql(self, transformed: bool = True) -> str: + """ + This function should only be called if is_sql_based_derived_case return true + """ + derived_table = self.derived_table() + + # Looker supports sql fragments that omit the SELECT and FROM parts of the query + # Add those in if we detect that it is missing + sql_query: str = derived_table["sql"] + + if transformed: # update the original sql attribute only if transformed is true + if not re.search(r"SELECT\s", sql_query, flags=re.I): + # add a SELECT clause at the beginning + sql_query = f"SELECT {sql_query}" + + if not re.search(r"FROM\s", sql_query, flags=re.I): + # add a FROM clause at the end + sql_query = f"{sql_query} FROM {self.name()}" + # Get the list of tables in the query + + # Drop ${ and } + sql_query = re.sub(DERIVED_VIEW_PATTERN, r"\1", sql_query) + + return sql_query + + def name(self) -> str: + return self.raw_view[NAME] + + def view_file_name(self) -> str: + splits: List[str] = self.view_file.absolute_file_path.split( + self.base_folder_path, 1 + ) + if len(splits) != 2: + logger.debug( + f"base_folder_path({self.base_folder_path}) and absolute_file_path({self.view_file.absolute_file_path})" + f" not matching" + ) + return ViewFieldValue.NOT_AVAILABLE.value + + file_name: str = splits[1] + logger.debug(f"file_path={file_name}") + + return file_name.strip( + "/" + ) # strip / from path to make it equivalent to source_file attribute of LookerModelExplore API + + def _get_list_dict(self, attribute_name: str) -> List[Dict]: + ans: Optional[List[Dict]] = self.raw_view.get(attribute_name) + if ans is not None: + return ans + return [] + + def dimensions(self) -> List[Dict]: + return self._get_list_dict("dimensions") + + def measures(self) -> List[Dict]: + return self._get_list_dict("measures") + + def dimension_groups(self) -> List[Dict]: + return self._get_list_dict("dimension_groups") + + def is_materialized_derived_view(self) -> bool: + for k in self.derived_table(): + if k in ["datagroup_trigger", "sql_trigger_value", "persist_for"]: + return True + + if "materialized_view" in self.derived_table(): + return self.derived_table()["materialized_view"] == "yes" + + return False + + def is_regular_case(self) -> bool: + # regular-case is pattern1 and 2 where upstream table is either view-name or + # table name mentioned in sql_table_name attribute + if ( + self.is_sql_table_name_referring_to_view() + or self.is_sql_based_derived_case() + or self.is_native_derived_case() + ): + return False + + return True + + def is_sql_table_name_referring_to_view(self) -> bool: + # It is pattern3 + return self._is_dot_sql_table_name_present() + + def is_sql_based_derived_case(self) -> bool: + # It is pattern 4 + if "derived_table" in self.raw_view and "sql" in self.raw_view["derived_table"]: + return True + + return False + + def is_native_derived_case(self) -> bool: + # It is pattern 5 + if ( + "derived_table" in self.raw_view + and "explore_source" in self.raw_view["derived_table"] + ): + return True + + return False + + def is_sql_based_derived_view_without_fields_case(self) -> bool: + # Pattern 6 + fields: List[Dict] = [] + + fields.extend(self.dimensions()) + fields.extend(self.measures()) + fields.extend(self.dimension_groups()) + + if self.is_sql_based_derived_case() and len(fields) == 0: + return True + + return False diff --git a/metadata-ingestion/src/datahub/ingestion/source/looker/lookml_config.py b/metadata-ingestion/src/datahub/ingestion/source/looker/lookml_config.py new file mode 100644 index 00000000000000..aa5719547c03ed --- /dev/null +++ b/metadata-ingestion/src/datahub/ingestion/source/looker/lookml_config.py @@ -0,0 +1,235 @@ +import logging +from dataclasses import dataclass, field as dataclass_field +from datetime import timedelta +from typing import Any, Dict, List, Optional, Union + +import pydantic +from pydantic import root_validator, validator +from pydantic.fields import Field + +from datahub.configuration.common import AllowDenyPattern +from datahub.configuration.git import GitInfo +from datahub.configuration.source_common import EnvConfigMixin +from datahub.configuration.validate_field_rename import pydantic_renamed_field +from datahub.ingestion.source.looker.looker_config import LookerCommonConfig +from datahub.ingestion.source.looker.looker_connection import LookerConnectionDefinition +from datahub.ingestion.source.looker.looker_lib_wrapper import ( + LookerAPI, + LookerAPIConfig, + TransportOptionsConfig, +) +from datahub.ingestion.source.state.stale_entity_removal_handler import ( + StaleEntityRemovalSourceReport, + StatefulStaleMetadataRemovalConfig, +) +from datahub.ingestion.source.state.stateful_ingestion_base import ( + StatefulIngestionConfigBase, +) +from datahub.utilities.lossy_collections import LossyList + +logger = logging.getLogger(__name__) + +NAME: str = "name" + +_BASE_PROJECT_NAME = "__BASE" + +_EXPLORE_FILE_EXTENSION = ".explore.lkml" + +_VIEW_FILE_EXTENSION = ".view.lkml" + +_MODEL_FILE_EXTENSION = ".model.lkml" + +VIEW_LANGUAGE_LOOKML: str = "lookml" + +VIEW_LANGUAGE_SQL: str = "sql" + +DERIVED_VIEW_SUFFIX = r".sql_table_name" + +DERIVED_VIEW_PATTERN: str = r"\$\{([^}]*)\}" + + +@dataclass +class LookMLSourceReport(StaleEntityRemovalSourceReport): + git_clone_latency: Optional[timedelta] = None + models_discovered: int = 0 + models_dropped: List[str] = dataclass_field(default_factory=LossyList) + views_discovered: int = 0 + views_dropped: List[str] = dataclass_field(default_factory=LossyList) + views_dropped_unreachable: List[str] = dataclass_field(default_factory=LossyList) + query_parse_attempts: int = 0 + query_parse_failures: int = 0 + query_parse_failure_views: List[str] = dataclass_field(default_factory=LossyList) + _looker_api: Optional[LookerAPI] = None + + def report_models_scanned(self) -> None: + self.models_discovered += 1 + + def report_views_scanned(self) -> None: + self.views_discovered += 1 + + def report_models_dropped(self, model: str) -> None: + self.models_dropped.append(model) + + def report_views_dropped(self, view: str) -> None: + self.views_dropped.append(view) + + def report_unreachable_view_dropped(self, view: str) -> None: + self.views_dropped_unreachable.append(view) + + def compute_stats(self) -> None: + if self._looker_api: + self.api_stats = self._looker_api.compute_stats() + return super().compute_stats() + + +class LookMLSourceConfig( + LookerCommonConfig, StatefulIngestionConfigBase, EnvConfigMixin +): + git_info: Optional[GitInfo] = Field( + None, + description="Reference to your git location. If present, supplies handy links to your lookml on the dataset " + "entity page.", + ) + _github_info_deprecated = pydantic_renamed_field("github_info", "git_info") + base_folder: Optional[pydantic.DirectoryPath] = Field( + None, + description="Required if not providing github configuration and deploy keys. A pointer to a local directory (" + "accessible to the ingestion system) where the root of the LookML repo has been checked out (" + "typically via a git clone). This is typically the root folder where the `*.model.lkml` and " + "`*.view.lkml` files are stored. e.g. If you have checked out your LookML repo under " + "`/Users/jdoe/workspace/my-lookml-repo`, then set `base_folder` to " + "`/Users/jdoe/workspace/my-lookml-repo`.", + ) + project_dependencies: Dict[str, Union[pydantic.DirectoryPath, GitInfo]] = Field( + {}, + description="A map of project_name to local directory (accessible to the ingestion system) or Git credentials. " + "Every local_dependencies or private remote_dependency listed in the main project's manifest.lkml file should " + "have a corresponding entry here." + "If a deploy key is not provided, the ingestion system will use the same deploy key as the main project. ", + ) + connection_to_platform_map: Optional[Dict[str, LookerConnectionDefinition]] = Field( + None, + description="A mapping of [Looker connection names](" + "https://docs.looker.com/reference/model-params/connection-for-model) to DataHub platform, " + "database, and schema values.", + ) + model_pattern: AllowDenyPattern = Field( + AllowDenyPattern.allow_all(), + description="List of regex patterns for LookML models to include in the extraction.", + ) + view_pattern: AllowDenyPattern = Field( + AllowDenyPattern.allow_all(), + description="List of regex patterns for LookML views to include in the extraction.", + ) + parse_table_names_from_sql: bool = Field(True, description="See note below.") + sql_parser: str = Field( + "datahub.utilities.sql_parser.DefaultSQLParser", description="See note below." + ) + api: Optional[LookerAPIConfig] + project_name: Optional[str] = Field( + None, + description="Required if you don't specify the `api` section. The project name within which all the model " + "files live. See (https://docs.looker.com/data-modeling/getting-started/how-project-works) to " + "understand what the Looker project name should be. The simplest way to see your projects is to " + "click on `Develop` followed by `Manage LookML Projects` in the Looker application.", + ) + transport_options: Optional[TransportOptionsConfig] = Field( + None, + description="Populates the [TransportOptions](https://github.com/looker-open-source/sdk-codegen/blob" + "/94d6047a0d52912ac082eb91616c1e7c379ab262/python/looker_sdk/rtl/transport.py#L70) struct for " + "looker client", + ) + max_file_snippet_length: int = Field( + 512000, # 512KB should be plenty + description="When extracting the view definition from a lookml file, the maximum number of characters to " + "extract.", + ) + emit_reachable_views_only: bool = Field( + True, + description="When enabled, only views that are reachable from explores defined in the model files are emitted", + ) + populate_sql_logic_for_missing_descriptions: bool = Field( + False, + description="When enabled, field descriptions will include the sql logic for computed fields if descriptions " + "are missing", + ) + process_isolation_for_sql_parsing: bool = Field( + False, + description="When enabled, sql parsing will be executed in a separate process to prevent memory leaks.", + ) + stateful_ingestion: Optional[StatefulStaleMetadataRemovalConfig] = Field( + default=None, description="" + ) + process_refinements: bool = Field( + False, + description="When enabled, looker refinement will be processed to adapt an existing view.", + ) + + liquid_variable: Dict[Any, Any] = Field( + {}, + description="A dictionary containing Liquid variables and their corresponding values, utilized in SQL-defined " + "derived views. The Liquid template will be resolved in view.derived_table.sql and " + "view.sql_table_name. Defaults to an empty dictionary.", + ) + + @validator("connection_to_platform_map", pre=True) + def convert_string_to_connection_def(cls, conn_map): + # Previous version of config supported strings in connection map. This upconverts strings to ConnectionMap + for key in conn_map: + if isinstance(conn_map[key], str): + platform = conn_map[key] + if "." in platform: + platform_db_split = conn_map[key].split(".") + connection = LookerConnectionDefinition( + platform=platform_db_split[0], + default_db=platform_db_split[1], + default_schema="", + ) + conn_map[key] = connection + else: + logger.warning( + f"Connection map for {key} provides platform {platform} but does not provide a default " + f"database name. This might result in failed resolution" + ) + conn_map[key] = LookerConnectionDefinition( + platform=platform, default_db="", default_schema="" + ) + return conn_map + + @root_validator(skip_on_failure=True) + def check_either_connection_map_or_connection_provided(cls, values): + """Validate that we must either have a connection map or an api credential""" + if not values.get("connection_to_platform_map", {}) and not values.get( + "api", {} + ): + raise ValueError( + "Neither api not connection_to_platform_map config was found. LookML source requires either api " + "credentials for Looker or a map of connection names to platform identifiers to work correctly" + ) + return values + + @root_validator(skip_on_failure=True) + def check_either_project_name_or_api_provided(cls, values): + """Validate that we must either have a project name or an api credential to fetch project names""" + if not values.get("project_name") and not values.get("api"): + raise ValueError( + "Neither project_name not an API credential was found. LookML source requires either api credentials " + "for Looker or a project_name to accurately name views and models." + ) + return values + + @validator("base_folder", always=True) + def check_base_folder_if_not_provided( + cls, v: Optional[pydantic.DirectoryPath], values: Dict[str, Any] + ) -> Optional[pydantic.DirectoryPath]: + if v is None: + git_info: Optional[GitInfo] = values.get("git_info") + if git_info: + if not git_info.deploy_key: + logger.warning( + "git_info is provided, but no SSH key is present. If the repo is not public, we'll fail to " + "clone it." + ) + else: + raise ValueError("Neither base_folder nor git_info has been provided.") + return v diff --git a/metadata-ingestion/src/datahub/ingestion/source/looker/lookml_refinement.py b/metadata-ingestion/src/datahub/ingestion/source/looker/lookml_refinement.py new file mode 100644 index 00000000000000..892ed79754a1c2 --- /dev/null +++ b/metadata-ingestion/src/datahub/ingestion/source/looker/lookml_refinement.py @@ -0,0 +1,251 @@ +import copy +import itertools +import logging +from typing import ClassVar, Dict, List, Set + +from datahub.ingestion.source.looker.looker_config import LookerConnectionDefinition +from datahub.ingestion.source.looker.looker_dataclasses import LookerModel +from datahub.ingestion.source.looker.looker_view_id_cache import LookerViewFileLoader +from datahub.ingestion.source.looker.lookml_config import ( + NAME, + LookMLSourceConfig, + LookMLSourceReport, +) + +logger = logging.getLogger(__name__) + + +class LookerRefinementResolver: + """ + Refinements are a way to "edit" an existing view or explore. + Refer: https://cloud.google.com/looker/docs/lookml-refinements + + A refinement to an existing view/explore is only applied if it's refinement is reachable from include files in a + model. For refinement applied order please refer: + https://cloud.google.com/looker/docs/lookml-refinements#refinements_are_applied_in_order + """ + + REFINEMENT_PREFIX: ClassVar[str] = "+" + DIMENSIONS: ClassVar[str] = "dimensions" + MEASURES: ClassVar[str] = "measures" + DIMENSION_GROUPS: ClassVar[str] = "dimension_groups" + EXTENDS: ClassVar[str] = "extends" + EXTENDS_ALL: ClassVar[str] = "extends__all" + + looker_model: LookerModel + looker_viewfile_loader: LookerViewFileLoader + connection_definition: LookerConnectionDefinition + source_config: LookMLSourceConfig + reporter: LookMLSourceReport + view_refinement_cache: Dict[ + str, dict + ] # Map of view-name as key, and it is raw view dictionary after applying refinement process + explore_refinement_cache: Dict[ + str, dict + ] # Map of explore-name as key, and it is raw view dictionary after applying refinement process + + def __init__( + self, + looker_model: LookerModel, + looker_viewfile_loader: LookerViewFileLoader, + connection_definition: LookerConnectionDefinition, + source_config: LookMLSourceConfig, + reporter: LookMLSourceReport, + ): + self.looker_model = looker_model + self.looker_viewfile_loader = looker_viewfile_loader + self.connection_definition = connection_definition + self.source_config = source_config + self.reporter = reporter + self.view_refinement_cache = {} + self.explore_refinement_cache = {} + + @staticmethod + def is_refinement(view_name: str) -> bool: + return view_name.startswith(LookerRefinementResolver.REFINEMENT_PREFIX) + + @staticmethod + def merge_column( + original_dict: dict, refinement_dict: dict, key: str + ) -> List[dict]: + """ + Merge a dimension/measure/other column with one from a refinement. + This follows the process documented at https://help.looker.com/hc/en-us/articles/4419773929107-LookML-refinements + """ + merge_column: List[dict] = [] + original_value: List[dict] = original_dict.get(key, []) + refine_value: List[dict] = refinement_dict.get(key, []) + # name is required field, not going to be None + original_column_map = {column[NAME]: column for column in original_value} + refine_column_map = {column[NAME]: column for column in refine_value} + for existing_column_name in original_column_map: + existing_column = original_column_map[existing_column_name] + refine_column = refine_column_map.get(existing_column_name) + if refine_column is not None: + existing_column.update(refine_column) + + merge_column.append(existing_column) + + # merge any remaining column from refine_column_map + for new_column_name in refine_column_map: + if new_column_name not in original_column_map: + merge_column.append(refine_column_map[new_column_name]) + + return merge_column + + @staticmethod + def merge_and_set_column( + new_raw_view: dict, refinement_view: dict, key: str + ) -> None: + merged_column = LookerRefinementResolver.merge_column( + new_raw_view, refinement_view, key + ) + if merged_column: + new_raw_view[key] = merged_column + + @staticmethod + def merge_refinements(raw_view: dict, refinement_views: List[dict]) -> dict: + """ + Iterate over refinement_views and merge parameter of each view with raw_view. + Detail of merging order can be found at https://cloud.google.com/looker/docs/lookml-refinements + """ + new_raw_view: dict = copy.deepcopy(raw_view) + + for refinement_view in refinement_views: + # Merge dimension and measure + # TODO: low priority: handle additive parameters + # https://cloud.google.com/looker/docs/lookml-refinements#some_parameters_are_additive + + # Merge Dimension + LookerRefinementResolver.merge_and_set_column( + new_raw_view, refinement_view, LookerRefinementResolver.DIMENSIONS + ) + # Merge Measure + LookerRefinementResolver.merge_and_set_column( + new_raw_view, refinement_view, LookerRefinementResolver.MEASURES + ) + # Merge Dimension Group + LookerRefinementResolver.merge_and_set_column( + new_raw_view, refinement_view, LookerRefinementResolver.DIMENSION_GROUPS + ) + + return new_raw_view + + def get_refinements(self, views: List[dict], view_name: str) -> List[dict]: + """ + Refinement syntax for view and explore are same. + This function can be used to filter out view/explore refinement from raw dictionary list + """ + view_refinement_name: str = self.REFINEMENT_PREFIX + view_name + refined_views: List[dict] = [] + + for raw_view in views: + if view_refinement_name == raw_view[NAME]: + refined_views.append(raw_view) + + return refined_views + + def get_refinement_from_model_includes(self, view_name: str) -> List[dict]: + refined_views: List[dict] = [] + + for include in self.looker_model.resolved_includes: + included_looker_viewfile = self.looker_viewfile_loader.load_viewfile( + include.include, + include.project, + self.connection_definition, + self.reporter, + ) + + if not included_looker_viewfile: + continue + + refined_views.extend( + self.get_refinements(included_looker_viewfile.views, view_name) + ) + + return refined_views + + def should_skip_processing(self, raw_view_name: str) -> bool: + if LookerRefinementResolver.is_refinement(raw_view_name): + return True + + if self.source_config.process_refinements is False: + return True + + return False + + def apply_view_refinement(self, raw_view: dict) -> dict: + """ + Looker process the lkml file in include order and merge the all refinement to original view. + """ + assert raw_view.get(NAME) is not None + + raw_view_name: str = raw_view[NAME] + + if self.should_skip_processing(raw_view_name): + return raw_view + + if raw_view_name in self.view_refinement_cache: + logger.debug(f"Returning applied refined view {raw_view_name} from cache") + return self.view_refinement_cache[raw_view_name] + + logger.debug(f"Processing refinement for view {raw_view_name}") + + refinement_views: List[dict] = self.get_refinement_from_model_includes( + raw_view_name + ) + + self.view_refinement_cache[raw_view_name] = self.merge_refinements( + raw_view, refinement_views + ) + + return self.view_refinement_cache[raw_view_name] + + @staticmethod + def add_extended_explore( + raw_explore: dict, refinement_explores: List[Dict] + ) -> None: + extended_explores: Set[str] = set() + for view in refinement_explores: + extends = list( + itertools.chain.from_iterable( + view.get( + LookerRefinementResolver.EXTENDS, + view.get(LookerRefinementResolver.EXTENDS_ALL, []), + ) + ) + ) + extended_explores.update(extends) + + if extended_explores: # if it is not empty then add to the original view + raw_explore[LookerRefinementResolver.EXTENDS] = list(extended_explores) + + def apply_explore_refinement(self, raw_view: dict) -> dict: + """ + In explore refinement `extends` parameter is additive. + Refer looker refinement document: https://cloud.google.com/looker/docs/lookml-refinements#additive + """ + assert raw_view.get(NAME) is not None + + raw_view_name: str = raw_view[NAME] + + if self.should_skip_processing(raw_view_name): + return raw_view + + if raw_view_name in self.explore_refinement_cache: + logger.debug( + f"Returning applied refined explore {raw_view_name} from cache" + ) + return self.explore_refinement_cache[raw_view_name] + + logger.debug(f"Processing refinement for explore {raw_view_name}") + + refinement_explore: List[dict] = self.get_refinements( + self.looker_model.explores, raw_view_name + ) + + self.add_extended_explore(raw_view, refinement_explore) + + self.explore_refinement_cache[raw_view_name] = raw_view + + return self.explore_refinement_cache[raw_view_name] diff --git a/metadata-ingestion/src/datahub/ingestion/source/looker/lookml_source.py b/metadata-ingestion/src/datahub/ingestion/source/looker/lookml_source.py index 4a872f8b1a025a..223d168dbe033a 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/looker/lookml_source.py +++ b/metadata-ingestion/src/datahub/ingestion/source/looker/lookml_source.py @@ -1,39 +1,16 @@ -import copy -import glob -import itertools import logging import pathlib -import re import tempfile -from dataclasses import dataclass, field as dataclass_field, replace -from datetime import datetime, timedelta, timezone -from typing import ( - Any, - ClassVar, - Dict, - Iterable, - List, - Optional, - Set, - Tuple, - Type, - Union, -) +from collections import OrderedDict +from dataclasses import dataclass +from datetime import datetime, timezone +from typing import Dict, Iterable, List, Optional, Set, Tuple import lkml import lkml.simple -import pydantic from looker_sdk.error import SDKError -from looker_sdk.sdk.api40.models import DBConnection -from pydantic import root_validator, validator -from pydantic.fields import Field -import datahub.emitter.mce_builder as builder -from datahub.configuration import ConfigModel -from datahub.configuration.common import AllowDenyPattern, ConfigurationError from datahub.configuration.git import GitInfo -from datahub.configuration.source_common import EnvConfigMixin -from datahub.configuration.validate_field_rename import pydantic_renamed_field from datahub.emitter.mce_builder import make_schema_field_urn from datahub.emitter.mcp import MetadataChangeProposalWrapper from datahub.emitter.mcp_builder import gen_containers @@ -45,7 +22,6 @@ platform_name, support_status, ) -from datahub.ingestion.api.registry import import_path from datahub.ingestion.api.source import MetadataWorkUnitProcessor, SourceCapability from datahub.ingestion.api.workunit import MetadataWorkUnit from datahub.ingestion.source.common.subtypes import ( @@ -56,28 +32,46 @@ from datahub.ingestion.source.looker.lkml_patched import load_lkml from datahub.ingestion.source.looker.looker_common import ( CORPUSER_DATAHUB, - LookerCommonConfig, LookerExplore, LookerUtil, LookerViewId, - ProjectInclude, ViewField, ViewFieldType, ViewFieldValue, + deduplicate_fields, gen_project_key, ) -from datahub.ingestion.source.looker.looker_lib_wrapper import ( - LookerAPI, - LookerAPIConfig, - TransportOptionsConfig, +from datahub.ingestion.source.looker.looker_connection import ( + get_connection_def_based_on_connection_string, +) +from datahub.ingestion.source.looker.looker_lib_wrapper import LookerAPI +from datahub.ingestion.source.looker.looker_view_id_cache import ( + LookerModel, + LookerViewFileLoader, + LookerViewIdCache, +) +from datahub.ingestion.source.looker.lookml_concept_context import ( + LookerFieldContext, + LookerViewContext, +) +from datahub.ingestion.source.looker.lookml_config import ( + _BASE_PROJECT_NAME, + _MODEL_FILE_EXTENSION, + VIEW_LANGUAGE_LOOKML, + VIEW_LANGUAGE_SQL, + LookerConnectionDefinition, + LookMLSourceConfig, + LookMLSourceReport, +) +from datahub.ingestion.source.looker.lookml_refinement import LookerRefinementResolver +from datahub.ingestion.source.looker.view_upstream import ( + AbstractViewUpstream, + create_view_upstream, ) from datahub.ingestion.source.state.stale_entity_removal_handler import ( StaleEntityRemovalHandler, - StaleEntityRemovalSourceReport, - StatefulStaleMetadataRemovalConfig, ) from datahub.ingestion.source.state.stateful_ingestion_base import ( - StatefulIngestionConfigBase, StatefulIngestionSourceBase, ) from datahub.metadata.com.linkedin.pegasus2avro.common import BrowsePaths, Status @@ -100,1000 +94,21 @@ FineGrainedLineageUpstreamTypeClass, SubTypesClass, ) -from datahub.utilities.lossy_collections import LossyList -from datahub.utilities.sql_parser import SQLParser +from datahub.sql_parsing.sqlglot_lineage import ColumnRef logger = logging.getLogger(__name__) -_BASE_PROJECT_NAME = "__BASE" - -_EXPLORE_FILE_EXTENSION = ".explore.lkml" -_VIEW_FILE_EXTENSION = ".view.lkml" -_MODEL_FILE_EXTENSION = ".model.lkml" - - -def deduplicate_fields(fields: List[ViewField]) -> List[ViewField]: - # Remove duplicates filed from self.fields - # Logic is: If more than a field has same ViewField.name then keep only one filed where ViewField.field_type - # is DIMENSION_GROUP. - # Looker Constraint: - # - Any field declared as dimension or measure can be redefined as dimension_group. - # - Any field declared in dimension can't be redefined in measure and vice-versa. - - dimension_group_field_names: List[str] = [ - field.name - for field in fields - if field.field_type == ViewFieldType.DIMENSION_GROUP - ] - - new_fields: List[ViewField] = [] - - for field in fields: - if ( - field.name in dimension_group_field_names - and field.field_type != ViewFieldType.DIMENSION_GROUP - ): - continue - - new_fields.append(field) - - return new_fields - - -def _get_bigquery_definition( - looker_connection: DBConnection, -) -> Tuple[str, Optional[str], Optional[str]]: - platform = "bigquery" - # bigquery project ids are returned in the host field - db = looker_connection.host - schema = looker_connection.database - return (platform, db, schema) - - -def _get_generic_definition( - looker_connection: DBConnection, platform: Optional[str] = None -) -> Tuple[str, Optional[str], Optional[str]]: - if platform is None: - # We extract the platform from the dialect name - dialect_name = looker_connection.dialect_name - assert dialect_name is not None - # generally the first part of the dialect name before _ is the name of the platform - # versions are encoded as numbers and can be removed - # e.g. spark1 or hive2 or druid_18 - platform = re.sub(r"[0-9]+", "", dialect_name.split("_")[0]) - - assert ( - platform is not None - ), f"Failed to extract a valid platform from connection {looker_connection}" - db = looker_connection.database - schema = looker_connection.schema # ok for this to be None - return (platform, db, schema) - - -class LookerConnectionDefinition(ConfigModel): - platform: str - default_db: str - default_schema: Optional[str] # Optional since some sources are two-level only - platform_instance: Optional[str] = None - platform_env: Optional[str] = Field( - default=None, - description="The environment that the platform is located in. Leaving this empty will inherit defaults from the top level Looker configuration", - ) - - @validator("platform_env") - def platform_env_must_be_one_of(cls, v: Optional[str]) -> Optional[str]: - if v is not None: - return EnvConfigMixin.env_must_be_one_of(v) - return v - - @validator("platform", "default_db", "default_schema") - def lower_everything(cls, v): - """We lower case all strings passed in to avoid casing issues later""" - if v is not None: - return v.lower() - - @classmethod - def from_looker_connection( - cls, looker_connection: DBConnection - ) -> "LookerConnectionDefinition": - """Dialect definitions are here: https://docs.looker.com/setup-and-management/database-config""" - extractors: Dict[str, Any] = { - "^bigquery": _get_bigquery_definition, - ".*": _get_generic_definition, - } - - if looker_connection.dialect_name is None: - raise ConfigurationError( - f"Unable to fetch a fully filled out connection for {looker_connection.name}. Please check your API permissions." - ) - for extractor_pattern, extracting_function in extractors.items(): - if re.match(extractor_pattern, looker_connection.dialect_name): - (platform, db, schema) = extracting_function(looker_connection) - return cls(platform=platform, default_db=db, default_schema=schema) - raise ConfigurationError( - f"Could not find an appropriate platform for looker_connection: {looker_connection.name} with dialect: {looker_connection.dialect_name}" - ) - - -class LookMLSourceConfig( - LookerCommonConfig, StatefulIngestionConfigBase, EnvConfigMixin -): - git_info: Optional[GitInfo] = Field( - None, - description="Reference to your git location. If present, supplies handy links to your lookml on the dataset entity page.", - ) - _github_info_deprecated = pydantic_renamed_field("github_info", "git_info") - base_folder: Optional[pydantic.DirectoryPath] = Field( - None, - description="Required if not providing github configuration and deploy keys. A pointer to a local directory (accessible to the ingestion system) where the root of the LookML repo has been checked out (typically via a git clone). This is typically the root folder where the `*.model.lkml` and `*.view.lkml` files are stored. e.g. If you have checked out your LookML repo under `/Users/jdoe/workspace/my-lookml-repo`, then set `base_folder` to `/Users/jdoe/workspace/my-lookml-repo`.", - ) - project_dependencies: Dict[str, Union[pydantic.DirectoryPath, GitInfo]] = Field( - {}, - description="A map of project_name to local directory (accessible to the ingestion system) or Git credentials. " - "Every local_dependencies or private remote_dependency listed in the main project's manifest.lkml file should have a corresponding entry here. " - "If a deploy key is not provided, the ingestion system will use the same deploy key as the main project. ", - ) - connection_to_platform_map: Optional[Dict[str, LookerConnectionDefinition]] = Field( - None, - description="A mapping of [Looker connection names](https://docs.looker.com/reference/model-params/connection-for-model) to DataHub platform, database, and schema values.", - ) - model_pattern: AllowDenyPattern = Field( - AllowDenyPattern.allow_all(), - description="List of regex patterns for LookML models to include in the extraction.", - ) - view_pattern: AllowDenyPattern = Field( - AllowDenyPattern.allow_all(), - description="List of regex patterns for LookML views to include in the extraction.", - ) - parse_table_names_from_sql: bool = Field(False, description="See note below.") - sql_parser: str = Field( - "datahub.utilities.sql_parser.DefaultSQLParser", description="See note below." - ) - api: Optional[LookerAPIConfig] - project_name: Optional[str] = Field( - None, - description="Required if you don't specify the `api` section. The project name within which all the model files live. See (https://docs.looker.com/data-modeling/getting-started/how-project-works) to understand what the Looker project name should be. The simplest way to see your projects is to click on `Develop` followed by `Manage LookML Projects` in the Looker application.", - ) - transport_options: Optional[TransportOptionsConfig] = Field( - None, - description="Populates the [TransportOptions](https://github.com/looker-open-source/sdk-codegen/blob/94d6047a0d52912ac082eb91616c1e7c379ab262/python/looker_sdk/rtl/transport.py#L70) struct for looker client", - ) - max_file_snippet_length: int = Field( - 512000, # 512KB should be plenty - description="When extracting the view definition from a lookml file, the maximum number of characters to extract.", - ) - emit_reachable_views_only: bool = Field( - True, - description="When enabled, only views that are reachable from explores defined in the model files are emitted", - ) - populate_sql_logic_for_missing_descriptions: bool = Field( - False, - description="When enabled, field descriptions will include the sql logic for computed fields if descriptions are missing", - ) - process_isolation_for_sql_parsing: bool = Field( - False, - description="When enabled, sql parsing will be executed in a separate process to prevent memory leaks.", - ) - stateful_ingestion: Optional[StatefulStaleMetadataRemovalConfig] = Field( - default=None, description="" - ) - process_refinements: bool = Field( - False, - description="When enabled, looker refinement will be processed to adapt an existing view.", - ) - - @validator("connection_to_platform_map", pre=True) - def convert_string_to_connection_def(cls, conn_map): - # Previous version of config supported strings in connection map. This upconverts strings to ConnectionMap - for key in conn_map: - if isinstance(conn_map[key], str): - platform = conn_map[key] - if "." in platform: - platform_db_split = conn_map[key].split(".") - connection = LookerConnectionDefinition( - platform=platform_db_split[0], - default_db=platform_db_split[1], - default_schema="", - ) - conn_map[key] = connection - else: - logger.warning( - f"Connection map for {key} provides platform {platform} but does not provide a default database name. This might result in failed resolution" - ) - conn_map[key] = LookerConnectionDefinition( - platform=platform, default_db="", default_schema="" - ) - return conn_map - - @root_validator(skip_on_failure=True) - def check_either_connection_map_or_connection_provided(cls, values): - """Validate that we must either have a connection map or an api credential""" - if not values.get("connection_to_platform_map", {}) and not values.get( - "api", {} - ): - raise ValueError( - "Neither api not connection_to_platform_map config was found. LookML source requires either api credentials for Looker or a map of connection names to platform identifiers to work correctly" - ) - return values - - @root_validator(skip_on_failure=True) - def check_either_project_name_or_api_provided(cls, values): - """Validate that we must either have a project name or an api credential to fetch project names""" - if not values.get("project_name") and not values.get("api"): - raise ValueError( - "Neither project_name not an API credential was found. LookML source requires either api credentials for Looker or a project_name to accurately name views and models." - ) - return values - - @validator("base_folder", always=True) - def check_base_folder_if_not_provided( - cls, v: Optional[pydantic.DirectoryPath], values: Dict[str, Any] - ) -> Optional[pydantic.DirectoryPath]: - if v is None: - git_info: Optional[GitInfo] = values.get("git_info") - if git_info: - if not git_info.deploy_key: - logger.warning( - "git_info is provided, but no SSH key is present. If the repo is not public, we'll fail to clone it." - ) - else: - raise ValueError("Neither base_folder nor git_info has been provided.") - return v - - -@dataclass -class LookMLSourceReport(StaleEntityRemovalSourceReport): - git_clone_latency: Optional[timedelta] = None - models_discovered: int = 0 - models_dropped: List[str] = dataclass_field(default_factory=LossyList) - views_discovered: int = 0 - views_dropped: List[str] = dataclass_field(default_factory=LossyList) - views_dropped_unreachable: List[str] = dataclass_field(default_factory=LossyList) - query_parse_attempts: int = 0 - query_parse_failures: int = 0 - query_parse_failure_views: List[str] = dataclass_field(default_factory=LossyList) - _looker_api: Optional[LookerAPI] = None - - def report_models_scanned(self) -> None: - self.models_discovered += 1 - - def report_views_scanned(self) -> None: - self.views_discovered += 1 - - def report_models_dropped(self, model: str) -> None: - self.models_dropped.append(model) - - def report_views_dropped(self, view: str) -> None: - self.views_dropped.append(view) - - def report_unreachable_view_dropped(self, view: str) -> None: - self.views_dropped_unreachable.append(view) - - def compute_stats(self) -> None: - if self._looker_api: - self.api_stats = self._looker_api.compute_stats() - return super().compute_stats() - - -@dataclass -class LookerModel: - connection: str - includes: List[str] - explores: List[dict] - resolved_includes: List[ProjectInclude] - - @staticmethod - def from_looker_dict( - looker_model_dict: dict, - base_project_name: str, - root_project_name: Optional[str], - base_projects_folders: Dict[str, pathlib.Path], - path: str, - reporter: LookMLSourceReport, - ) -> "LookerModel": - logger.debug(f"Loading model from {path}") - connection = looker_model_dict["connection"] - includes = looker_model_dict.get("includes", []) - resolved_includes = LookerModel.resolve_includes( - includes, - base_project_name, - root_project_name, - base_projects_folders, - path, - reporter, - seen_so_far=set(), - traversal_path=pathlib.Path(path).stem, - ) - logger.debug(f"{path} has resolved_includes: {resolved_includes}") - explores = looker_model_dict.get("explores", []) - - explore_files = [ - x.include - for x in resolved_includes - if x.include.endswith(_EXPLORE_FILE_EXTENSION) - ] - for included_file in explore_files: - try: - parsed = load_lkml(included_file) - included_explores = parsed.get("explores", []) - explores.extend(included_explores) - except Exception as e: - reporter.report_warning( - path, f"Failed to load {included_file} due to {e}" - ) - # continue in this case, as it might be better to load and resolve whatever we can - - return LookerModel( - connection=connection, - includes=includes, - resolved_includes=resolved_includes, - explores=explores, - ) - - @staticmethod - def resolve_includes( - includes: List[str], - project_name: str, - root_project_name: Optional[str], - base_projects_folder: Dict[str, pathlib.Path], - path: str, - reporter: LookMLSourceReport, - seen_so_far: Set[str], - traversal_path: str = "", # a cosmetic parameter to aid debugging - ) -> List[ProjectInclude]: - """Resolve ``include`` statements in LookML model files to a list of ``.lkml`` files. - - For rules on how LookML ``include`` statements are written, see - https://docs.looker.com/data-modeling/getting-started/ide-folders#wildcard_examples - """ - - resolved = [] - for inc in includes: - # Filter out dashboards - we get those through the looker source. - if ( - inc.endswith(".dashboard") - or inc.endswith(".dashboard.lookml") - or inc.endswith(".dashboard.lkml") - ): - logger.debug(f"include '{inc}' is a dashboard, skipping it") - continue - - resolved_project_name = project_name - resolved_project_folder = str(base_projects_folder[project_name]) - - # Massage the looker include into a valid glob wildcard expression - if inc.startswith("//"): - # remote include, let's see if we have the project checked out locally - (remote_project, project_local_path) = inc[2:].split("/", maxsplit=1) - if remote_project in base_projects_folder: - resolved_project_folder = str(base_projects_folder[remote_project]) - glob_expr = f"{resolved_project_folder}/{project_local_path}" - resolved_project_name = remote_project - else: - logger.warning( - f"Resolving {inc} failed. Could not find a locally checked out reference for {remote_project}" - ) - continue - elif inc.startswith("/"): - glob_expr = f"{resolved_project_folder}{inc}" - - # The include path is sometimes '/{project_name}/{path_within_project}' - # instead of '//{project_name}/{path_within_project}' or '/{path_within_project}'. - # - # TODO: I can't seem to find any documentation on this pattern, but we definitely - # have seen it in the wild. Example from Mozilla's public looker-hub repo: - # https://github.com/mozilla/looker-hub/blob/f491ca51ce1add87c338e6723fd49bc6ae4015ca/fenix/explores/activation.explore.lkml#L7 - # As such, we try to handle it but are as defensive as possible. - - non_base_project_name = project_name - if project_name == _BASE_PROJECT_NAME and root_project_name is not None: - non_base_project_name = root_project_name - if non_base_project_name != _BASE_PROJECT_NAME and inc.startswith( - f"/{non_base_project_name}/" - ): - # This might be a local include. Let's make sure that '/{project_name}' doesn't - # exist as normal include in the project. - if not pathlib.Path( - f"{resolved_project_folder}/{non_base_project_name}" - ).exists(): - path_within_project = pathlib.Path(*pathlib.Path(inc).parts[2:]) - glob_expr = f"{resolved_project_folder}/{path_within_project}" - else: - # Need to handle a relative path. - glob_expr = str(pathlib.Path(path).parent / inc) - # "**" matches an arbitrary number of directories in LookML - # we also resolve these paths to absolute paths so we can de-dup effectively later on - included_files = [ - str(p.resolve()) - for p in [ - pathlib.Path(p) - for p in sorted( - glob.glob(glob_expr, recursive=True) - + glob.glob(f"{glob_expr}.lkml", recursive=True) - ) - ] - # We don't want to match directories. The '**' glob can be used to - # recurse into directories. - if p.is_file() - ] - logger.debug( - f"traversal_path={traversal_path}, included_files = {included_files}, seen_so_far: {seen_so_far}" - ) - if "*" not in inc and not included_files: - reporter.report_failure(path, f"cannot resolve include {inc}") - elif not included_files: - reporter.report_failure( - path, f"did not resolve anything for wildcard include {inc}" - ) - # only load files that we haven't seen so far - included_files = [x for x in included_files if x not in seen_so_far] - for included_file in included_files: - # Filter out dashboards - we get those through the looker source. - if ( - included_file.endswith(".dashboard") - or included_file.endswith(".dashboard.lookml") - or included_file.endswith(".dashboard.lkml") - ): - logger.debug( - f"include '{included_file}' is a dashboard, skipping it" - ) - continue - - logger.debug( - f"Will be loading {included_file}, traversed here via {traversal_path}" - ) - try: - parsed = load_lkml(included_file) - seen_so_far.add(included_file) - if "includes" in parsed: # we have more includes to resolve! - resolved.extend( - LookerModel.resolve_includes( - parsed["includes"], - resolved_project_name, - root_project_name, - base_projects_folder, - included_file, - reporter, - seen_so_far, - traversal_path=traversal_path - + "." - + pathlib.Path(included_file).stem, - ) - ) - except Exception as e: - reporter.report_warning( - path, f"Failed to load {included_file} due to {e}" - ) - # continue in this case, as it might be better to load and resolve whatever we can - - resolved.extend( - [ - ProjectInclude(project=resolved_project_name, include=f) - for f in included_files - ] - ) - return resolved - - -@dataclass -class LookerViewFile: - absolute_file_path: str - connection: Optional[LookerConnectionDefinition] - includes: List[str] - resolved_includes: List[ProjectInclude] - views: List[Dict] - raw_file_content: str - - @classmethod - def from_looker_dict( - cls, - absolute_file_path: str, - looker_view_file_dict: dict, - project_name: str, - root_project_name: Optional[str], - base_projects_folder: Dict[str, pathlib.Path], - raw_file_content: str, - reporter: LookMLSourceReport, - ) -> "LookerViewFile": - logger.debug(f"Loading view file at {absolute_file_path}") - includes = looker_view_file_dict.get("includes", []) - resolved_path = str(pathlib.Path(absolute_file_path).resolve()) - seen_so_far = set() - seen_so_far.add(resolved_path) - resolved_includes = LookerModel.resolve_includes( - includes, - project_name, - root_project_name, - base_projects_folder, - absolute_file_path, - reporter, - seen_so_far=seen_so_far, - ) - logger.debug( - f"resolved_includes for {absolute_file_path} is {resolved_includes}" - ) - views = looker_view_file_dict.get("views", []) - - return cls( - absolute_file_path=absolute_file_path, - connection=None, - includes=includes, - resolved_includes=resolved_includes, - views=views, - raw_file_content=raw_file_content, - ) - - -@dataclass -class SQLInfo: - table_names: List[str] - column_names: List[str] - - -class LookerViewFileLoader: - """ - Loads the looker viewfile at a :path and caches the LookerViewFile in memory - This is to avoid reloading the same file off of disk many times during the recursive include resolution process - """ - - def __init__( - self, - root_project_name: Optional[str], - base_projects_folder: Dict[str, pathlib.Path], - reporter: LookMLSourceReport, - ) -> None: - self.viewfile_cache: Dict[str, LookerViewFile] = {} - self._root_project_name = root_project_name - self._base_projects_folder = base_projects_folder - self.reporter = reporter - - def is_view_seen(self, path: str) -> bool: - return path in self.viewfile_cache - - def _load_viewfile( - self, project_name: str, path: str, reporter: LookMLSourceReport - ) -> Optional[LookerViewFile]: - # always fully resolve paths to simplify de-dup - path = str(pathlib.Path(path).resolve()) - allowed_extensions = [_VIEW_FILE_EXTENSION, _EXPLORE_FILE_EXTENSION] - matched_any_extension = [ - match for match in [path.endswith(x) for x in allowed_extensions] if match - ] - if not matched_any_extension: - # not a view file - logger.debug( - f"Skipping file {path} because it doesn't appear to be a view file. Matched extensions {allowed_extensions}" - ) - return None - - if self.is_view_seen(str(path)): - return self.viewfile_cache[path] - - try: - with open(path) as file: - raw_file_content = file.read() - except Exception as e: - self.reporter.report_failure(path, f"failed to load view file: {e}") - return None - try: - logger.debug(f"Loading viewfile {path}") - parsed = load_lkml(path) - looker_viewfile = LookerViewFile.from_looker_dict( - absolute_file_path=path, - looker_view_file_dict=parsed, - project_name=project_name, - root_project_name=self._root_project_name, - base_projects_folder=self._base_projects_folder, - raw_file_content=raw_file_content, - reporter=reporter, - ) - logger.debug(f"adding viewfile for path {path} to the cache") - self.viewfile_cache[path] = looker_viewfile - return looker_viewfile - except Exception as e: - self.reporter.report_failure(path, f"failed to load view file: {e}") - return None - - def load_viewfile( - self, - path: str, - project_name: str, - connection: Optional[LookerConnectionDefinition], - reporter: LookMLSourceReport, - ) -> Optional[LookerViewFile]: - viewfile = self._load_viewfile( - project_name=project_name, path=path, reporter=reporter - ) - if viewfile is None: - return None - - return replace(viewfile, connection=connection) - - -class LookerRefinementResolver: - """ - Refinements are a way to "edit" an existing view or explore. - Refer: https://cloud.google.com/looker/docs/lookml-refinements - - A refinement to an existing view/explore is only applied if it's refinement is reachable from include files in a model. - For refinement applied order please refer: https://cloud.google.com/looker/docs/lookml-refinements#refinements_are_applied_in_order - """ - - REFINEMENT_PREFIX: ClassVar[str] = "+" - DIMENSIONS: ClassVar[str] = "dimensions" - MEASURES: ClassVar[str] = "measures" - DIMENSION_GROUPS: ClassVar[str] = "dimension_groups" - NAME: ClassVar[str] = "name" - EXTENDS: ClassVar[str] = "extends" - EXTENDS_ALL: ClassVar[str] = "extends__all" - - looker_model: LookerModel - looker_viewfile_loader: LookerViewFileLoader - connection_definition: LookerConnectionDefinition - source_config: LookMLSourceConfig - reporter: LookMLSourceReport - view_refinement_cache: Dict[ - str, dict - ] # Map of view-name as key, and it is raw view dictionary after applying refinement process - explore_refinement_cache: Dict[ - str, dict - ] # Map of explore-name as key, and it is raw view dictionary after applying refinement process - - def __init__( - self, - looker_model: LookerModel, - looker_viewfile_loader: LookerViewFileLoader, - connection_definition: LookerConnectionDefinition, - source_config: LookMLSourceConfig, - reporter: LookMLSourceReport, - ): - self.looker_model = looker_model - self.looker_viewfile_loader = looker_viewfile_loader - self.connection_definition = connection_definition - self.source_config = source_config - self.reporter = reporter - self.view_refinement_cache = {} - self.explore_refinement_cache = {} - - @staticmethod - def is_refinement(view_name: str) -> bool: - return view_name.startswith(LookerRefinementResolver.REFINEMENT_PREFIX) - - @staticmethod - def merge_column( - original_dict: dict, refinement_dict: dict, key: str - ) -> List[dict]: - """ - Merge a dimension/measure/other column with one from a refinement. - This follows the process documented at https://help.looker.com/hc/en-us/articles/4419773929107-LookML-refinements - """ - merge_column: List[dict] = [] - original_value: List[dict] = original_dict.get(key, []) - refine_value: List[dict] = refinement_dict.get(key, []) - # name is required field, not going to be None - original_column_map = { - column[LookerRefinementResolver.NAME]: column for column in original_value - } - refine_column_map = { - column[LookerRefinementResolver.NAME]: column for column in refine_value - } - for existing_column_name in original_column_map: - existing_column = original_column_map[existing_column_name] - refine_column = refine_column_map.get(existing_column_name) - if refine_column is not None: - existing_column.update(refine_column) - - merge_column.append(existing_column) - - # merge any remaining column from refine_column_map - for new_column_name in refine_column_map: - if new_column_name not in original_column_map: - merge_column.append(refine_column_map[new_column_name]) - - return merge_column - - @staticmethod - def merge_and_set_column( - new_raw_view: dict, refinement_view: dict, key: str - ) -> None: - merged_column = LookerRefinementResolver.merge_column( - new_raw_view, refinement_view, key - ) - if merged_column: - new_raw_view[key] = merged_column - - @staticmethod - def merge_refinements(raw_view: dict, refinement_views: List[dict]) -> dict: - """ - Iterate over refinement_views and merge parameter of each view with raw_view. - Detail of merging order can be found at https://cloud.google.com/looker/docs/lookml-refinements - """ - new_raw_view: dict = copy.deepcopy(raw_view) - - for refinement_view in refinement_views: - # Merge dimension and measure - # TODO: low priority: handle additive parameters - # https://cloud.google.com/looker/docs/lookml-refinements#some_parameters_are_additive - - # Merge Dimension - LookerRefinementResolver.merge_and_set_column( - new_raw_view, refinement_view, LookerRefinementResolver.DIMENSIONS - ) - # Merge Measure - LookerRefinementResolver.merge_and_set_column( - new_raw_view, refinement_view, LookerRefinementResolver.MEASURES - ) - # Merge Dimension Group - LookerRefinementResolver.merge_and_set_column( - new_raw_view, refinement_view, LookerRefinementResolver.DIMENSION_GROUPS - ) - - return new_raw_view - - def get_refinements(self, views: List[dict], view_name: str) -> List[dict]: - """ - Refinement syntax for view and explore are same. - This function can be used to filter out view/explore refinement from raw dictionary list - """ - view_refinement_name: str = self.REFINEMENT_PREFIX + view_name - refined_views: List[dict] = [] - - for raw_view in views: - if view_refinement_name == raw_view[LookerRefinementResolver.NAME]: - refined_views.append(raw_view) - - return refined_views - - def get_refinement_from_model_includes(self, view_name: str) -> List[dict]: - refined_views: List[dict] = [] - - for include in self.looker_model.resolved_includes: - included_looker_viewfile = self.looker_viewfile_loader.load_viewfile( - include.include, - include.project, - self.connection_definition, - self.reporter, - ) - - if not included_looker_viewfile: - continue - - refined_views.extend( - self.get_refinements(included_looker_viewfile.views, view_name) - ) - - return refined_views - - def should_skip_processing(self, raw_view_name: str) -> bool: - if LookerRefinementResolver.is_refinement(raw_view_name): - return True - - if self.source_config.process_refinements is False: - return True - - return False - - def apply_view_refinement(self, raw_view: dict) -> dict: - """ - Looker process the lkml file in include order and merge the all refinement to original view. - """ - assert raw_view.get(LookerRefinementResolver.NAME) is not None - - raw_view_name: str = raw_view[LookerRefinementResolver.NAME] - - if self.should_skip_processing(raw_view_name): - return raw_view - - if raw_view_name in self.view_refinement_cache: - logger.debug(f"Returning applied refined view {raw_view_name} from cache") - return self.view_refinement_cache[raw_view_name] - - logger.debug(f"Processing refinement for view {raw_view_name}") - - refinement_views: List[dict] = self.get_refinement_from_model_includes( - raw_view_name - ) - - self.view_refinement_cache[raw_view_name] = self.merge_refinements( - raw_view, refinement_views - ) - - return self.view_refinement_cache[raw_view_name] - - @staticmethod - def add_extended_explore( - raw_explore: dict, refinement_explores: List[Dict] - ) -> None: - extended_explores: Set[str] = set() - for view in refinement_explores: - extends = list( - itertools.chain.from_iterable( - view.get( - LookerRefinementResolver.EXTENDS, - view.get(LookerRefinementResolver.EXTENDS_ALL, []), - ) - ) - ) - extended_explores.update(extends) - - if extended_explores: # if it is not empty then add to the original view - raw_explore[LookerRefinementResolver.EXTENDS] = list(extended_explores) - - def apply_explore_refinement(self, raw_view: dict) -> dict: - """ - In explore refinement `extends` parameter is additive. - Refer looker refinement document: https://cloud.google.com/looker/docs/lookml-refinements#additive - """ - assert raw_view.get(LookerRefinementResolver.NAME) is not None - - raw_view_name: str = raw_view[LookerRefinementResolver.NAME] - - if self.should_skip_processing(raw_view_name): - return raw_view - - if raw_view_name in self.explore_refinement_cache: - logger.debug( - f"Returning applied refined explore {raw_view_name} from cache" - ) - return self.explore_refinement_cache[raw_view_name] - - logger.debug(f"Processing refinement for explore {raw_view_name}") - - refinement_explore: List[dict] = self.get_refinements( - self.looker_model.explores, raw_view_name - ) - - self.add_extended_explore(raw_view, refinement_explore) - - self.explore_refinement_cache[raw_view_name] = raw_view - - return self.explore_refinement_cache[raw_view_name] - - -VIEW_LANGUAGE_LOOKML: str = "lookml" -VIEW_LANGUAGE_SQL: str = "sql" - - -def _find_view_from_resolved_includes( - connection: Optional[LookerConnectionDefinition], - resolved_includes: List[ProjectInclude], - looker_viewfile_loader: LookerViewFileLoader, - target_view_name: str, - reporter: LookMLSourceReport, -) -> Optional[Tuple[ProjectInclude, dict]]: - # It could live in one of the included files. We do not know which file the base view - # lives in, so we try them all! - for include in resolved_includes: - included_looker_viewfile = looker_viewfile_loader.load_viewfile( - include.include, include.project, connection, reporter - ) - if not included_looker_viewfile: - continue - for raw_view in included_looker_viewfile.views: - raw_view_name = raw_view["name"] - # Make sure to skip loading view we are currently trying to resolve - if raw_view_name == target_view_name: - return include, raw_view - - return None - - -_SQL_FUNCTIONS = ["UNNEST"] - @dataclass class LookerView: id: LookerViewId absolute_file_path: str connection: LookerConnectionDefinition - sql_table_names: List[str] - upstream_explores: List[str] + upstream_dataset_urns: List[str] fields: List[ViewField] raw_file_content: str view_details: Optional[ViewProperties] = None - @classmethod - def _import_sql_parser_cls(cls, sql_parser_path: str) -> Type[SQLParser]: - assert "." in sql_parser_path, "sql_parser-path must contain a ." - parser_cls = import_path(sql_parser_path) - - if not issubclass(parser_cls, SQLParser): - raise ValueError(f"must be derived from {SQLParser}; got {parser_cls}") - return parser_cls - - @classmethod - def _get_sql_info( - cls, sql: str, sql_parser_path: str, use_external_process: bool = True - ) -> SQLInfo: - parser_cls = cls._import_sql_parser_cls(sql_parser_path) - - try: - parser_instance: SQLParser = parser_cls( - sql, use_external_process=use_external_process - ) - except Exception as e: - logger.warning(f"Sql parser failed on {sql} with {e}") - return SQLInfo(table_names=[], column_names=[]) - - sql_table_names: List[str] - try: - sql_table_names = parser_instance.get_tables() - except Exception as e: - logger.warning(f"Sql parser failed on {sql} with {e}") - sql_table_names = [] - - try: - column_names: List[str] = parser_instance.get_columns() - except Exception as e: - logger.warning(f"Sql parser failed on {sql} with {e}") - column_names = [] - - logger.debug(f"Column names parsed = {column_names}") - # Drop table names with # in them - sql_table_names = [t for t in sql_table_names if "#" not in t] - - # Remove quotes from table names - sql_table_names = [t.replace('"', "") for t in sql_table_names] - sql_table_names = [t.replace("`", "") for t in sql_table_names] - # Remove reserved words from table names - sql_table_names = [ - t for t in sql_table_names if t.upper() not in _SQL_FUNCTIONS - ] - - return SQLInfo(table_names=sql_table_names, column_names=column_names) - - @classmethod - def _get_fields( - cls, - field_list: List[Dict], - type_cls: ViewFieldType, - extract_column_level_lineage: bool, - populate_sql_logic_in_descriptions: bool, - ) -> List[ViewField]: - fields = [] - for field_dict in field_list: - is_primary_key = field_dict.get("primary_key", "no") == "yes" - name = field_dict["name"] - native_type = field_dict.get("type", "string") - default_description = ( - f"sql:{field_dict['sql']}" - if "sql" in field_dict and populate_sql_logic_in_descriptions - else "" - ) - - description = field_dict.get("description", default_description) - label = field_dict.get("label", "") - upstream_fields = [] - if extract_column_level_lineage: - if field_dict.get("sql") is not None: - for upstream_field_match in re.finditer( - r"\${TABLE}\.[\"]*([\.\w]+)", field_dict["sql"] - ): - matched_field = upstream_field_match.group(1) - # Remove quotes from field names - matched_field = ( - matched_field.replace('"', "").replace("`", "").lower() - ) - upstream_fields.append(matched_field) - else: - # If no SQL is specified, we assume this is referencing an upstream field - # with the same name. This commonly happens for extends and derived tables. - upstream_fields.append(name) - - upstream_fields = sorted(list(set(upstream_fields))) - - field = ViewField( - name=name, - type=native_type, - label=label, - description=description, - is_primary_key=is_primary_key, - field_type=type_cls, - upstream_fields=upstream_fields, - ) - fields.append(field) - return fields - @classmethod def determine_view_file_path( cls, base_folder_path: str, absolute_file_path: str @@ -1116,352 +131,114 @@ def determine_view_file_path( def from_looker_dict( cls, project_name: str, - base_folder_path: str, model_name: str, - looker_view: dict, - connection: LookerConnectionDefinition, - looker_viewfile: LookerViewFile, - looker_viewfile_loader: LookerViewFileLoader, - looker_refinement_resolver: LookerRefinementResolver, + view_context: LookerViewContext, + looker_view_id_cache: LookerViewIdCache, reporter: LookMLSourceReport, max_file_snippet_length: int, - parse_table_names_from_sql: bool = False, - sql_parser_path: str = "datahub.utilities.sql_parser.DefaultSQLParser", + config: LookMLSourceConfig, + ctx: PipelineContext, extract_col_level_lineage: bool = False, populate_sql_logic_in_descriptions: bool = False, - process_isolation_for_sql_parsing: bool = False, ) -> Optional["LookerView"]: - view_name = looker_view["name"] + + view_name = view_context.name() + logger.debug(f"Handling view {view_name} in model {model_name}") - # The sql_table_name might be defined in another view and this view is extending that view, - # so we resolve this field while taking that into account. - sql_table_name: Optional[str] = LookerView.get_including_extends( + + looker_view_id: LookerViewId = LookerViewId( + project_name=project_name, + model_name=model_name, view_name=view_name, - looker_view=looker_view, - connection=connection, - looker_viewfile=looker_viewfile, - looker_viewfile_loader=looker_viewfile_loader, - looker_refinement_resolver=looker_refinement_resolver, - field="sql_table_name", - reporter=reporter, + file_path=view_context.view_file_name(), ) - # Some sql_table_name fields contain quotes like: optimizely."group", just remove the quotes - sql_table_name = ( - sql_table_name.replace('"', "").replace("`", "") - if sql_table_name is not None - else None - ) - derived_table = LookerView.get_including_extends( - view_name=view_name, - looker_view=looker_view, - connection=connection, - looker_viewfile=looker_viewfile, - looker_viewfile_loader=looker_viewfile_loader, - looker_refinement_resolver=looker_refinement_resolver, - field="derived_table", + view_upstream: AbstractViewUpstream = create_view_upstream( + view_context=view_context, + looker_view_id_cache=looker_view_id_cache, + config=config, + ctx=ctx, reporter=reporter, ) - dimensions = cls._get_fields( - looker_view.get("dimensions", []), - ViewFieldType.DIMENSION, - extract_col_level_lineage, - populate_sql_logic_in_descriptions=populate_sql_logic_in_descriptions, - ) - dimension_groups = cls._get_fields( - looker_view.get("dimension_groups", []), - ViewFieldType.DIMENSION_GROUP, - extract_col_level_lineage, - populate_sql_logic_in_descriptions=populate_sql_logic_in_descriptions, - ) - measures = cls._get_fields( - looker_view.get("measures", []), - ViewFieldType.MEASURE, - extract_col_level_lineage, - populate_sql_logic_in_descriptions=populate_sql_logic_in_descriptions, - ) - fields: List[ViewField] = dimensions + dimension_groups + measures + field_type_vs_raw_fields = OrderedDict( + { + ViewFieldType.DIMENSION: view_context.dimensions(), + ViewFieldType.DIMENSION_GROUP: view_context.dimension_groups(), + ViewFieldType.MEASURE: view_context.measures(), + } + ) # in order to maintain order in golden file - fields = deduplicate_fields(fields) + view_fields: List[ViewField] = [] - # Prep "default" values for the view, which will be overridden by the logic below. - view_logic = looker_viewfile.raw_file_content[:max_file_snippet_length] - sql_table_names: List[str] = [] - upstream_explores: List[str] = [] - - if derived_table is not None: - # Derived tables can either be a SQL query or a LookML explore. - # See https://cloud.google.com/looker/docs/derived-tables. - - if "sql" in derived_table: - view_logic = derived_table["sql"] - view_lang = VIEW_LANGUAGE_SQL - - # Parse SQL to extract dependencies. - if parse_table_names_from_sql: - ( - fields, - sql_table_names, - ) = cls._extract_metadata_from_derived_table_sql( - reporter, - sql_parser_path, - view_name, - sql_table_name, - view_logic, - fields, - use_external_process=process_isolation_for_sql_parsing, + for field_type, fields in field_type_vs_raw_fields.items(): + for field in fields: + upstream_column_ref: List[ColumnRef] = [] + if extract_col_level_lineage: + upstream_column_ref = view_upstream.get_upstream_column_ref( + field_context=LookerFieldContext(raw_field=field) ) - elif "explore_source" in derived_table: - # This is called a "native derived table". - # See https://cloud.google.com/looker/docs/creating-ndts. - explore_source = derived_table["explore_source"] - - # We want this to render the full lkml block - # e.g. explore_source: source_name { ... } - # As such, we use the full derived_table instead of the explore_source. - view_logic = str(lkml.dump(derived_table))[:max_file_snippet_length] - view_lang = VIEW_LANGUAGE_LOOKML - - ( - fields, - upstream_explores, - ) = cls._extract_metadata_from_derived_table_explore( - reporter, view_name, explore_source, fields + view_fields.append( + ViewField.view_fields_from_dict( + field_dict=field, + upstream_column_ref=upstream_column_ref, + type_cls=field_type, + populate_sql_logic_in_descriptions=populate_sql_logic_in_descriptions, + ) ) - materialized = False - for k in derived_table: - if k in ["datagroup_trigger", "sql_trigger_value", "persist_for"]: - materialized = True - if "materialized_view" in derived_table: - materialized = derived_table["materialized_view"] == "yes" + # special case where view is defined as derived sql, however fields are not defined + if ( + len(view_fields) == 0 + and view_context.is_sql_based_derived_view_without_fields_case() + ): + view_fields = view_upstream.create_fields() + + view_fields = deduplicate_fields(view_fields) + + # Prep "default" values for the view, which will be overridden by the logic below. + view_logic = view_context.view_file.raw_file_content[:max_file_snippet_length] + + if view_context.is_sql_based_derived_case(): + view_logic = view_context.sql(transformed=False) + # Parse SQL to extract dependencies. + view_details = ViewProperties( + materialized=False, + viewLogic=view_logic, + viewLanguage=VIEW_LANGUAGE_SQL, + ) + elif view_context.is_native_derived_case(): + # We want this to render the full lkml block + # e.g. explore_source: source_name { ... } + # As such, we use the full derived_table instead of the explore_source. + view_logic = str(lkml.dump(view_context.derived_table()))[ + :max_file_snippet_length + ] + view_lang = VIEW_LANGUAGE_LOOKML + + materialized = view_context.is_materialized_derived_view() view_details = ViewProperties( materialized=materialized, viewLogic=view_logic, viewLanguage=view_lang ) else: - # If not a derived table, then this view essentially wraps an existing - # object in the database. If sql_table_name is set, there is a single - # dependency in the view, on the sql_table_name. - # Otherwise, default to the view name as per the docs: - # https://docs.looker.com/reference/view-params/sql_table_name-for-view - sql_table_names = ( - [view_name] if sql_table_name is None else [sql_table_name] - ) view_details = ViewProperties( materialized=False, viewLogic=view_logic, viewLanguage=VIEW_LANGUAGE_LOOKML, ) - file_path = LookerView.determine_view_file_path( - base_folder_path, looker_viewfile.absolute_file_path - ) - return LookerView( - id=LookerViewId( - project_name=project_name, - model_name=model_name, - view_name=view_name, - file_path=file_path, - ), - absolute_file_path=looker_viewfile.absolute_file_path, - connection=connection, - sql_table_names=sql_table_names, - upstream_explores=upstream_explores, - fields=fields, - raw_file_content=looker_viewfile.raw_file_content, + id=looker_view_id, + absolute_file_path=view_context.view_file.absolute_file_path, + connection=view_context.view_connection, + upstream_dataset_urns=view_upstream.get_upstream_dataset_urn(), + fields=view_fields, + raw_file_content=view_context.view_file.raw_file_content, view_details=view_details, ) - @classmethod - def _extract_metadata_from_derived_table_sql( - cls, - reporter: LookMLSourceReport, - sql_parser_path: str, - view_name: str, - sql_table_name: Optional[str], - sql_query: str, - fields: List[ViewField], - use_external_process: bool, - ) -> Tuple[List[ViewField], List[str]]: - sql_table_names: List[str] = [] - - logger.debug(f"Parsing sql from derived table section of view: {view_name}") - reporter.query_parse_attempts += 1 - - # Skip queries that contain liquid variables. We currently don't parse them correctly. - # Docs: https://cloud.google.com/looker/docs/liquid-variable-reference. - # TODO: also support ${EXTENDS} and ${TABLE} - if "{%" in sql_query: - try: - # test if parsing works - sql_info: SQLInfo = cls._get_sql_info( - sql_query, sql_parser_path, use_external_process - ) - if not sql_info.table_names: - raise Exception("Failed to find any tables") - except Exception: - logger.debug( - f"{view_name}: SQL Parsing didn't return any tables, trying a hail-mary" - ) - # A hail-mary simple parse. - for maybe_table_match in re.finditer( - r"FROM\s*([a-zA-Z0-9_.`]+)", sql_query - ): - if maybe_table_match.group(1) not in sql_table_names: - sql_table_names.append(maybe_table_match.group(1)) - return fields, sql_table_names - - # Looker supports sql fragments that omit the SELECT and FROM parts of the query - # Add those in if we detect that it is missing - if not re.search(r"SELECT\s", sql_query, flags=re.I): - # add a SELECT clause at the beginning - sql_query = f"SELECT {sql_query}" - if not re.search(r"FROM\s", sql_query, flags=re.I): - # add a FROM clause at the end - sql_query = f"{sql_query} FROM {sql_table_name if sql_table_name is not None else view_name}" - # Get the list of tables in the query - try: - sql_info = cls._get_sql_info( - sql_query, sql_parser_path, use_external_process - ) - sql_table_names = sql_info.table_names - column_names = sql_info.column_names - - if not fields: - # it seems like the view is defined purely as sql, let's try using the column names to populate the schema - fields = [ - # set types to unknown for now as our sql parser doesn't give us column types yet - ViewField(c, "", "unknown", "", ViewFieldType.UNKNOWN) - for c in sorted(column_names) - ] - # remove fields or sql tables that contain liquid variables - fields = [f for f in fields if "{%" not in f.name] - - if not sql_info.table_names: - reporter.query_parse_failures += 1 - reporter.query_parse_failure_views.append(view_name) - except Exception as e: - reporter.query_parse_failures += 1 - reporter.report_warning( - f"looker-view-{view_name}", - f"Failed to parse sql query, lineage will not be accurate. Exception: {e}", - ) - - sql_table_names = [table for table in sql_table_names if "{%" not in table] - - return fields, sql_table_names - - @classmethod - def _extract_metadata_from_derived_table_explore( - cls, - reporter: LookMLSourceReport, - view_name: str, - explore_source: dict, - fields: List[ViewField], - ) -> Tuple[List[ViewField], List[str]]: - logger.debug( - f"Parsing explore_source from derived table section of view: {view_name}" - ) - - upstream_explores = [explore_source["name"]] - - explore_columns = explore_source.get("columns", []) - # TODO: We currently don't support column-level lineage for derived_column. - # In order to support it, we'd need to parse the `sql` field of the derived_column. - - # The fields in the view are actually references to the fields in the explore. - # As such, we need to perform an extra mapping step to update - # the upstream column names. - for field in fields: - for i, upstream_field in enumerate(field.upstream_fields): - # Find the matching column in the explore. - for explore_column in explore_columns: - if explore_column["name"] == upstream_field: - field.upstream_fields[i] = explore_column.get( - "field", explore_column["name"] - ) - break - - return fields, upstream_explores - - @classmethod - def resolve_extends_view_name( - cls, - connection: LookerConnectionDefinition, - looker_viewfile: LookerViewFile, - looker_viewfile_loader: LookerViewFileLoader, - looker_refinement_resolver: LookerRefinementResolver, - target_view_name: str, - reporter: LookMLSourceReport, - ) -> Optional[dict]: - # The view could live in the same file. - for raw_view in looker_viewfile.views: - raw_view_name = raw_view["name"] - if raw_view_name == target_view_name: - return looker_refinement_resolver.apply_view_refinement(raw_view) - - # Or, it could live in one of the imports. - view = _find_view_from_resolved_includes( - connection, - looker_viewfile.resolved_includes, - looker_viewfile_loader, - target_view_name, - reporter, - ) - if view: - return looker_refinement_resolver.apply_view_refinement(view[1]) - else: - logger.warning( - f"failed to resolve view {target_view_name} included from {looker_viewfile.absolute_file_path}" - ) - return None - - @classmethod - def get_including_extends( - cls, - view_name: str, - looker_view: dict, - connection: LookerConnectionDefinition, - looker_viewfile: LookerViewFile, - looker_viewfile_loader: LookerViewFileLoader, - looker_refinement_resolver: LookerRefinementResolver, - field: str, - reporter: LookMLSourceReport, - ) -> Optional[Any]: - extends = list( - itertools.chain.from_iterable( - looker_view.get("extends", looker_view.get("extends__all", [])) - ) - ) - - # First, check the current view. - if field in looker_view: - return looker_view[field] - - # Then, check the views this extends, following Looker's precedence rules. - for extend in reversed(extends): - assert extend != view_name, "a view cannot extend itself" - extend_view = LookerView.resolve_extends_view_name( - connection, - looker_viewfile, - looker_viewfile_loader, - looker_refinement_resolver, - extend, - reporter, - ) - if not extend_view: - raise NameError( - f"failed to resolve extends view {extend} in view {view_name} of file {looker_viewfile.absolute_file_path}" - ) - if field in extend_view: - return extend_view[field] - - return None - @dataclass class LookerRemoteDependency: @@ -1516,6 +293,7 @@ class LookMLSource(StatefulIngestionSourceBase): def __init__(self, config: LookMLSourceConfig, ctx: PipelineContext): super().__init__(config, ctx) self.source_config = config + self.ctx = ctx self.reporter = LookMLSourceReport() # To keep track of projects (containers) which have already been ingested @@ -1526,10 +304,11 @@ def __init__(self, config: LookMLSourceConfig, ctx: PipelineContext): self.reporter._looker_api = self.looker_client try: self.looker_client.all_connections() - except SDKError: + except SDKError as err: raise ValueError( - "Failed to retrieve connections from looker client. Please check to ensure that you have manage_models permission enabled on this API key." - ) + "Failed to retrieve connections from looker client. Please check to ensure that you have " + "manage_models permission enabled on this API key." + ) from err def _load_model(self, path: str) -> LookerModel: logger.debug(f"Loading model from file {path}") @@ -1544,142 +323,14 @@ def _load_model(self, path: str) -> LookerModel: ) return looker_model - def _platform_names_have_2_parts(self, platform: str) -> bool: - return platform in {"hive", "mysql", "athena"} - - def _generate_fully_qualified_name( - self, sql_table_name: str, connection_def: LookerConnectionDefinition - ) -> str: - """Returns a fully qualified dataset name, resolved through a connection definition. - Input sql_table_name can be in three forms: table, db.table, db.schema.table""" - # TODO: This function should be extracted out into a Platform specific naming class since name translations are required across all connectors - - # Bigquery has "project.db.table" which can be mapped to db.schema.table form - # All other relational db's follow "db.schema.table" - # With the exception of mysql, hive, athena which are "db.table" - - # first detect which one we have - parts = len(sql_table_name.split(".")) - - if parts == 3: - # fully qualified, but if platform is of 2-part, we drop the first level - if self._platform_names_have_2_parts(connection_def.platform): - sql_table_name = ".".join(sql_table_name.split(".")[1:]) - return sql_table_name.lower() - - if parts == 1: - # Bare table form - if self._platform_names_have_2_parts(connection_def.platform): - dataset_name = f"{connection_def.default_db}.{sql_table_name}" - else: - dataset_name = f"{connection_def.default_db}.{connection_def.default_schema}.{sql_table_name}" - return dataset_name.lower() - - if parts == 2: - # if this is a 2 part platform, we are fine - if self._platform_names_have_2_parts(connection_def.platform): - return sql_table_name.lower() - # otherwise we attach the default top-level container - dataset_name = f"{connection_def.default_db}.{sql_table_name}" - return dataset_name.lower() - - self.reporter.report_warning( - key=sql_table_name, reason=f"{sql_table_name} has more than 3 parts." - ) - return sql_table_name.lower() - - def _construct_datalineage_urn( - self, sql_table_name: str, looker_view: LookerView - ) -> str: - logger.debug(f"sql_table_name={sql_table_name}") - connection_def: LookerConnectionDefinition = looker_view.connection - - # Check if table name matches cascading derived tables pattern - # derived tables can be referred to using aliases that look like table_name.SQL_TABLE_NAME - # See https://docs.looker.com/data-modeling/learning-lookml/derived-tables#syntax_for_referencing_a_derived_table - if re.fullmatch(r"\w+\.SQL_TABLE_NAME", sql_table_name, flags=re.I): - sql_table_name = sql_table_name.lower().split(".")[0] - # upstream dataset is a looker view based on current view id's project and model - view_id = LookerViewId( - project_name=looker_view.id.project_name, - model_name=looker_view.id.model_name, - view_name=sql_table_name, - file_path=looker_view.id.file_path, - ) - return view_id.get_urn(self.source_config) - - # Ensure sql_table_name is in canonical form (add in db, schema names) - sql_table_name = self._generate_fully_qualified_name( - sql_table_name, connection_def - ) - - return builder.make_dataset_urn_with_platform_instance( - platform=connection_def.platform, - name=sql_table_name.lower(), - platform_instance=connection_def.platform_instance, - env=connection_def.platform_env or self.source_config.env, - ) - - def _get_connection_def_based_on_connection_string( - self, connection: str - ) -> Optional[LookerConnectionDefinition]: - if self.source_config.connection_to_platform_map is None: - self.source_config.connection_to_platform_map = {} - assert self.source_config.connection_to_platform_map is not None - if connection in self.source_config.connection_to_platform_map: - return self.source_config.connection_to_platform_map[connection] - elif self.looker_client: - try: - looker_connection: DBConnection = self.looker_client.connection( - connection - ) - except SDKError: - logger.error( - f"Failed to retrieve connection {connection} from Looker. This usually happens when the credentials provided are not admin credentials." - ) - else: - try: - connection_def: LookerConnectionDefinition = ( - LookerConnectionDefinition.from_looker_connection( - looker_connection - ) - ) - - # Populate the cache (using the config map) to avoid calling looker again for this connection - self.source_config.connection_to_platform_map[ - connection - ] = connection_def - return connection_def - except ConfigurationError: - self.reporter.report_warning( - f"connection-{connection}", - "Failed to load connection from Looker", - ) - - return None - def _get_upstream_lineage( self, looker_view: LookerView ) -> Optional[UpstreamLineage]: - # Merge dataset upstreams with sql table upstreams. - upstream_dataset_urns = [] - for upstream_explore in looker_view.upstream_explores: - # We're creating a "LookerExplore" just to use the urn generator. - upstream_dataset_urn = LookerExplore( - name=upstream_explore, model_name=looker_view.id.model_name - ).get_explore_urn(self.source_config) - upstream_dataset_urns.append(upstream_dataset_urn) - for sql_table_name in looker_view.sql_table_names: - sql_table_name = sql_table_name.replace('"', "").replace("`", "") - upstream_dataset_urn = self._construct_datalineage_urn( - sql_table_name, looker_view - ) - upstream_dataset_urns.append(upstream_dataset_urn) + upstream_dataset_urns = looker_view.upstream_dataset_urns # Generate the upstream + fine grained lineage objects. upstreams = [] observed_lineage_ts = datetime.now(tz=timezone.utc) - fine_grained_lineages: List[FineGrainedLineageClass] = [] for upstream_dataset_urn in upstream_dataset_urns: upstream = UpstreamClass( dataset=upstream_dataset_urn, @@ -1691,32 +342,27 @@ def _get_upstream_lineage( ) upstreams.append(upstream) - if self.source_config.extract_column_level_lineage and ( - looker_view.view_details is not None - and looker_view.view_details.viewLanguage - != VIEW_LANGUAGE_SQL # we currently only map col-level lineage for views without sql - ): - for field in looker_view.fields: - if field.upstream_fields: - fine_grained_lineage = FineGrainedLineageClass( - upstreamType=FineGrainedLineageUpstreamTypeClass.FIELD_SET, - upstreams=[ - make_schema_field_urn( - upstream_dataset_urn, upstream_field - ) - for upstream_field in field.upstream_fields - ], - downstreamType=FineGrainedLineageDownstreamType.FIELD, - downstreams=[ - make_schema_field_urn( - looker_view.id.get_urn(self.source_config), - field.name, - ) - ], + fine_grained_lineages: List[FineGrainedLineageClass] = [] + + for field in looker_view.fields: + fine_grained_lineages.append( + FineGrainedLineageClass( + upstreamType=FineGrainedLineageUpstreamTypeClass.FIELD_SET, + upstreams=[ + make_schema_field_urn(cll_ref.table, cll_ref.column) + for cll_ref in field.upstream_fields + ], + downstreamType=FineGrainedLineageDownstreamType.FIELD, + downstreams=[ + make_schema_field_urn( + looker_view.id.get_urn(self.source_config), + field.name, ) - fine_grained_lineages.append(fine_grained_lineage) + ], + ) + ) - if upstreams != []: + if upstreams: return UpstreamLineage( upstreams=upstreams, fineGrainedLineages=fine_grained_lineages or None ) @@ -1775,7 +421,6 @@ def _build_dataset_mcps( ) events = [subTypeEvent] if looker_view.view_details is not None: - viewEvent = MetadataChangeProposalWrapper( entityUrn=view_urn, aspect=looker_view.view_details, @@ -1844,7 +489,8 @@ def get_project_name(self, model_name: str) -> str: return model.project_name except SDKError: raise ValueError( - f"Could not locate a project name for model {model_name}. Consider configuring a static project name in your config file" + f"Could not locate a project name for model {model_name}. Consider configuring a static project name " + f"in your config file" ) def get_manifest_if_present(self, folder: pathlib.Path) -> Optional[LookerManifest]: @@ -1930,7 +576,7 @@ def get_workunits_internal(self) -> Iterable[MetadataWorkUnit]: if not self.report.events_produced and not self.report.failures: # Don't pass if we didn't produce any events. self.report.report_failure( - "

", + "No Metadata Produced", "No metadata was produced. Check the logs for more details.", ) @@ -2024,6 +670,7 @@ def get_internal_workunits(self) -> Iterable[MetadataWorkUnit]: # noqa: C901 self.source_config.project_name, self.base_projects_folder, self.reporter, + self.source_config.liquid_variable, ) # Some views can be mentioned by multiple 'include' statements and can be included via different connections. @@ -2057,19 +704,26 @@ def get_internal_workunits(self) -> Iterable[MetadataWorkUnit]: # noqa: C901 model = self._load_model(str(file_path)) except Exception as e: self.reporter.report_warning( - model_name, f"unable to load Looker model at {file_path}: {repr(e)}" + title="Error Loading Model File", + message="Unable to load Looker model from file.", + context=f"Model Name: {model_name}, File Path: {file_path}", + exc=e, ) continue assert model.connection is not None - connectionDefinition = self._get_connection_def_based_on_connection_string( - model.connection + connection_definition = get_connection_def_based_on_connection_string( + connection=model.connection, + looker_client=self.looker_client, + source_config=self.source_config, + reporter=self.reporter, ) - if connectionDefinition is None: + if connection_definition is None: self.reporter.report_warning( - f"model-{model_name}", - f"Failed to load connection {model.connection}. Check your API key permissions and/or connection_to_platform_map configuration.", + title="Failed to Load Connection", + message="Failed to load connection. Check your API key permissions and/or connection_to_platform_map configuration.", + context=f"Connection: {model.connection}", ) self.reporter.report_models_dropped(model_name) continue @@ -2078,12 +732,13 @@ def get_internal_workunits(self) -> Iterable[MetadataWorkUnit]: # noqa: C901 looker_refinement_resolver: LookerRefinementResolver = ( LookerRefinementResolver( looker_model=model, - connection_definition=connectionDefinition, + connection_definition=connection_definition, looker_viewfile_loader=viewfile_loader, source_config=self.source_config, reporter=self.reporter, ) ) + if self.source_config.emit_reachable_views_only: model_explores_map = {d["name"]: d for d in model.explores} for explore_dict in model.explores: @@ -2109,8 +764,10 @@ def get_internal_workunits(self) -> Iterable[MetadataWorkUnit]: # noqa: C901 explore_reachable_views.add(view_name.include) except Exception as e: self.reporter.report_warning( - f"{model}.explores", - f"failed to process {explore_dict} due to {e}. Run with --debug for full stacktrace", + title="Failed to process explores", + message="Failed to process explore dictionary.", + context=f"Explore Details: {explore_dict}", + exc=e, ) logger.debug("Failed to process explore", exc_info=e) @@ -2120,6 +777,14 @@ def get_internal_workunits(self) -> Iterable[MetadataWorkUnit]: # noqa: C901 project_name = self.get_project_name(model_name) + looker_view_id_cache: LookerViewIdCache = LookerViewIdCache( + project_name=project_name, + model_name=model_name, + looker_model=model, + looker_viewfile_loader=viewfile_loader, + reporter=self.reporter, + ) + logger.debug(f"Model: {model_name}; Includes: {model.resolved_includes}") for include in model.resolved_includes: @@ -2131,7 +796,7 @@ def get_internal_workunits(self) -> Iterable[MetadataWorkUnit]: # noqa: C901 looker_viewfile = viewfile_loader.load_viewfile( path=include.include, project_name=include.project, - connection=connectionDefinition, + connection=connection_definition, reporter=self.reporter, ) @@ -2163,7 +828,8 @@ def get_internal_workunits(self) -> Iterable[MetadataWorkUnit]: # noqa: C901 else project_name ) - # if project is base project then it is available as self.base_projects_folder[_BASE_PROJECT_NAME] + # if project is base project then it is available as self.base_projects_folder[ + # _BASE_PROJECT_NAME] base_folder_path: str = str( self.base_projects_folder.get( current_project_name, @@ -2171,28 +837,38 @@ def get_internal_workunits(self) -> Iterable[MetadataWorkUnit]: # noqa: C901 ) ) + view_context: LookerViewContext = LookerViewContext( + raw_view=raw_view, + view_file=looker_viewfile, + view_connection=connection_definition, + view_file_loader=viewfile_loader, + looker_refinement_resolver=looker_refinement_resolver, + base_folder_path=base_folder_path, + reporter=self.reporter, + ) + maybe_looker_view = LookerView.from_looker_dict( project_name=current_project_name, - base_folder_path=base_folder_path, model_name=model_name, - looker_view=raw_view, - connection=connectionDefinition, - looker_viewfile=looker_viewfile, - looker_viewfile_loader=viewfile_loader, - looker_refinement_resolver=looker_refinement_resolver, + view_context=view_context, + looker_view_id_cache=looker_view_id_cache, reporter=self.reporter, max_file_snippet_length=self.source_config.max_file_snippet_length, - parse_table_names_from_sql=self.source_config.parse_table_names_from_sql, - sql_parser_path=self.source_config.sql_parser, extract_col_level_lineage=self.source_config.extract_column_level_lineage, populate_sql_logic_in_descriptions=self.source_config.populate_sql_logic_for_missing_descriptions, - process_isolation_for_sql_parsing=self.source_config.process_isolation_for_sql_parsing, + config=self.source_config, + ctx=self.ctx, ) except Exception as e: self.reporter.report_warning( - include.include, - f"unable to load Looker view {raw_view}: {repr(e)}", + title="Error Loading View", + message="Unable to load Looker View.", + context=f"View Details: {raw_view}", + exc=e, ) + + logger.debug(e, exc_info=e) + continue if maybe_looker_view: @@ -2243,7 +919,8 @@ def get_internal_workunits(self) -> Iterable[MetadataWorkUnit]: # noqa: C901 prev_model_connection, ) = view_connection_mapping if prev_model_connection != model.connection: - # this view has previously been discovered and emitted using a different connection + # this view has previously been discovered and emitted using a different + # connection logger.warning( f"view {maybe_looker_view.id.view_name} from model {model_name}, connection {model.connection} was previously processed via model {prev_model_name}, connection {prev_model_connection} and will likely lead to incorrect lineage to the underlying tables" ) diff --git a/metadata-ingestion/src/datahub/ingestion/source/looker/str_functions.py b/metadata-ingestion/src/datahub/ingestion/source/looker/str_functions.py new file mode 100644 index 00000000000000..5426d2b8ab9521 --- /dev/null +++ b/metadata-ingestion/src/datahub/ingestion/source/looker/str_functions.py @@ -0,0 +1,23 @@ +""" +Here write down functions which are operating on string. Like replacing some character and so on +""" +import re + + +def remove_suffix(original: str, suffix: str) -> str: + # This can be removed in favour of original.removesuffix for python>3.8 + if original.endswith(suffix): + return original[: -len(suffix)] + return original + + +def remove_extra_spaces_and_newlines(original: str) -> str: + """ + python-liquid library is not removing extra spaces and new lines from template and hence spaces and newlines + are appearing in urn. This function can be used to remove such characters from urn or text. + """ + return re.sub(r"\s*\n\s*", "", original) + + +def replace_quotes(value: str) -> str: + return value.replace('"', "").replace("`", "") diff --git a/metadata-ingestion/src/datahub/ingestion/source/looker/urn_functions.py b/metadata-ingestion/src/datahub/ingestion/source/looker/urn_functions.py new file mode 100644 index 00000000000000..7286beb1f977a9 --- /dev/null +++ b/metadata-ingestion/src/datahub/ingestion/source/looker/urn_functions.py @@ -0,0 +1,18 @@ +def get_qualified_table_name(urn: str) -> str: + part: str = urn.split(",")[-2] + + if len(part.split(".")) >= 4: + return ".".join( + part.split(".")[-3:] + ) # return only db.schema.table skip platform instance as higher code is + # failing if encounter platform-instance in qualified table name + else: + return part + + +def get_table_name(urn: str) -> str: + qualified_table_name: str = get_qualified_table_name( + urn=urn, + ) + + return qualified_table_name.split(".")[-1] diff --git a/metadata-ingestion/src/datahub/ingestion/source/looker/view_upstream.py b/metadata-ingestion/src/datahub/ingestion/source/looker/view_upstream.py new file mode 100644 index 00000000000000..390e71ef9d4bd8 --- /dev/null +++ b/metadata-ingestion/src/datahub/ingestion/source/looker/view_upstream.py @@ -0,0 +1,636 @@ +import logging +import re +from abc import ABC, abstractmethod +from functools import lru_cache +from typing import Dict, List, Optional + +from datahub.emitter.mce_builder import make_dataset_urn_with_platform_instance +from datahub.ingestion.api.common import PipelineContext +from datahub.ingestion.source.looker.looker_common import ( + LookerExplore, + LookerViewId, + ViewField, + ViewFieldType, +) +from datahub.ingestion.source.looker.looker_view_id_cache import LookerViewIdCache +from datahub.ingestion.source.looker.lookml_concept_context import ( + LookerFieldContext, + LookerViewContext, +) +from datahub.ingestion.source.looker.lookml_config import ( + DERIVED_VIEW_SUFFIX, + NAME, + LookerConnectionDefinition, + LookMLSourceConfig, + LookMLSourceReport, +) +from datahub.ingestion.source.looker.urn_functions import get_qualified_table_name +from datahub.sql_parsing.sqlglot_lineage import ( + ColumnLineageInfo, + ColumnRef, + SqlParsingResult, + Urn, + create_lineage_sql_parsed_result, +) + +logger = logging.getLogger(__name__) + + +def is_derived_view(view_name: str) -> bool: + if DERIVED_VIEW_SUFFIX in view_name.lower(): + return True + + return False + + +def get_derived_looker_view_id( + qualified_table_name: str, + looker_view_id_cache: "LookerViewIdCache", + base_folder_path: str, +) -> Optional[LookerViewId]: + # qualified_table_name can be in either of below format + # 1) db.schema.employee_income_source.sql_table_name + # 2) db.employee_income_source.sql_table_name + # 3) employee_income_source.sql_table_name + # In any of the form we need the text coming before ".sql_table_name" and after last "." + parts: List[str] = re.split( + DERIVED_VIEW_SUFFIX, qualified_table_name, flags=re.IGNORECASE + ) + view_name: str = parts[0].split(".")[-1] + + looker_view_id: Optional[LookerViewId] = looker_view_id_cache.get_looker_view_id( + view_name=view_name, + base_folder_path=base_folder_path, + ) + + return looker_view_id + + +def resolve_derived_view_urn_of_col_ref( + column_refs: List[ColumnRef], + looker_view_id_cache: "LookerViewIdCache", + base_folder_path: str, + config: LookMLSourceConfig, +) -> List[ColumnRef]: + + new_column_refs: List[ColumnRef] = [] + for col_ref in column_refs: + if is_derived_view(col_ref.table.lower()): + new_urns: List[str] = fix_derived_view_urn( + urns=[col_ref.table], + looker_view_id_cache=looker_view_id_cache, + base_folder_path=base_folder_path, + config=config, + ) + if not new_urns: + logger.warning( + f"Not able to resolve to derived view looker id for {col_ref.table}" + ) + continue + + new_column_refs.append(ColumnRef(table=new_urns[0], column=col_ref.column)) + else: + new_column_refs.append(col_ref) + + return new_column_refs + + +def fix_derived_view_urn( + urns: List[str], + looker_view_id_cache: "LookerViewIdCache", + base_folder_path: str, + config: LookMLSourceConfig, +) -> List[str]: + # Regenerate view urn if .sql_table_name is present in urn + new_urns: List[str] = [] + for urn in urns: + if is_derived_view(urn): + looker_view_id = get_derived_looker_view_id( + qualified_table_name=get_qualified_table_name(urn), + looker_view_id_cache=looker_view_id_cache, + base_folder_path=base_folder_path, + ) + + if looker_view_id is None: + logger.warning( + f"Not able to resolve to derived view looker id for {urn}" + ) + continue + + new_urns.append(looker_view_id.get_urn(config=config)) + else: + new_urns.append(urn) + + return new_urns + + +def _platform_names_have_2_parts(platform: str) -> bool: + return platform in {"hive", "mysql", "athena"} + + +def _drop_hive_dot(urn: str) -> str: + """ + This is special handling for hive platform where "hive." is coming in urn's id because of the way SQL + is written in lookml. + + Example: urn:li:dataset:(urn:li:dataPlatform:hive,hive.my_database.my_table,PROD) + + Here we need to transform hive.my_database.my_table to my_database.my_table + """ + if urn.startswith("urn:li:dataset:(urn:li:dataPlatform:hive"): + return re.sub(r"hive\.", "", urn) + + return urn + + +def _drop_hive_dot_from_upstream(upstreams: List[ColumnRef]) -> List[ColumnRef]: + return [ + ColumnRef(table=_drop_hive_dot(column_ref.table), column=column_ref.column) + for column_ref in upstreams + ] + + +def _generate_fully_qualified_name( + sql_table_name: str, + connection_def: LookerConnectionDefinition, + reporter: LookMLSourceReport, +) -> str: + """Returns a fully qualified dataset name, resolved through a connection definition. + Input sql_table_name can be in three forms: table, db.table, db.schema.table""" + # TODO: This function should be extracted out into a Platform specific naming class since name translations + # are required across all connectors + + # Bigquery has "project.db.table" which can be mapped to db.schema.table form + # All other relational db's follow "db.schema.table" + # With the exception of mysql, hive, athena which are "db.table" + + # first detect which one we have + parts = len(sql_table_name.split(".")) + + if parts == 3: + # fully qualified, but if platform is of 2-part, we drop the first level + if _platform_names_have_2_parts(connection_def.platform): + sql_table_name = ".".join(sql_table_name.split(".")[1:]) + return sql_table_name.lower() + + if parts == 1: + # Bare table form + if _platform_names_have_2_parts(connection_def.platform): + dataset_name = f"{connection_def.default_db}.{sql_table_name}" + else: + dataset_name = f"{connection_def.default_db}.{connection_def.default_schema}.{sql_table_name}" + return dataset_name.lower() + + if parts == 2: + # if this is a 2 part platform, we are fine + if _platform_names_have_2_parts(connection_def.platform): + return sql_table_name.lower() + # otherwise we attach the default top-level container + dataset_name = f"{connection_def.default_db}.{sql_table_name}" + return dataset_name.lower() + + reporter.report_warning( + title="Malformed Table Name", + message="Table name has more than 3 parts.", + context=f"Table Name: {sql_table_name}", + ) + return sql_table_name.lower() + + +class AbstractViewUpstream(ABC): + """ + Implementation of this interface extracts the view upstream as per the way the view is bound to datasets. + For detail explanation please refer lookml_concept_context.LookerViewContext documentation. + """ + + view_context: LookerViewContext + looker_view_id_cache: LookerViewIdCache + config: LookMLSourceConfig + ctx: PipelineContext + + def __init__( + self, + view_context: LookerViewContext, + looker_view_id_cache: LookerViewIdCache, + config: LookMLSourceConfig, + ctx: PipelineContext, + ): + self.view_context = view_context + self.looker_view_id_cache = looker_view_id_cache + self.config = config + self.ctx = ctx + + @abstractmethod + def get_upstream_column_ref( + self, field_context: LookerFieldContext + ) -> List[ColumnRef]: + pass + + @abstractmethod + def get_upstream_dataset_urn(self) -> List[Urn]: + pass + + def create_fields(self) -> List[ViewField]: + return [] # it is for the special case + + +class SqlBasedDerivedViewUpstream(AbstractViewUpstream): + """ + Handle the case where upstream dataset is defined in derived_table.sql + """ + + def __init__( + self, + view_context: LookerViewContext, + looker_view_id_cache: LookerViewIdCache, + config: LookMLSourceConfig, + ctx: PipelineContext, + ): + super().__init__(view_context, looker_view_id_cache, config, ctx) + # These are the function where we need to catch the response once calculated + self._get_spr = lru_cache(maxsize=1)(self.__get_spr) + self._get_upstream_dataset_urn = lru_cache(maxsize=1)( + self.__get_upstream_dataset_urn + ) + + def __get_spr(self) -> Optional[SqlParsingResult]: + # for backward compatibility + if not self.config.parse_table_names_from_sql: + return None + + spr = create_lineage_sql_parsed_result( + query=self.view_context.sql(), + default_schema=self.view_context.view_connection.default_schema, + default_db=self.view_context.view_connection.default_db, + platform=self.view_context.view_connection.platform, + platform_instance=self.view_context.view_connection.platform_instance, + env=self.view_context.view_connection.platform_env or self.config.env, + graph=self.ctx.graph, + ) + + if ( + spr.debug_info.table_error is not None + or spr.debug_info.column_error is not None + ): + logging.debug( + f"Failed to parsed the sql query. table_error={spr.debug_info.table_error} and " + f"column_error={spr.debug_info.column_error}" + ) + return None + + return spr + + def __get_upstream_dataset_urn(self) -> List[Urn]: + sql_parsing_result: Optional[SqlParsingResult] = self._get_spr() + + if sql_parsing_result is None: + return [] + + upstream_dataset_urns: List[str] = [ + _drop_hive_dot(urn) for urn in sql_parsing_result.in_tables + ] + + # fix any derived view reference present in urn + upstream_dataset_urns = fix_derived_view_urn( + urns=upstream_dataset_urns, + looker_view_id_cache=self.looker_view_id_cache, + base_folder_path=self.view_context.base_folder_path, + config=self.config, + ) + + return upstream_dataset_urns + + def create_fields(self) -> List[ViewField]: + spr: Optional[SqlParsingResult] = self._get_spr() + + if spr is None: + return [] + + fields: List[ViewField] = [] + + column_lineages: List[ColumnLineageInfo] = ( + spr.column_lineage if spr.column_lineage is not None else [] + ) + + for cll in column_lineages: + fields.append( + ViewField( + name=cll.downstream.column, + label="", + type=cll.downstream.native_column_type + if cll.downstream.native_column_type is not None + else "unknown", + description="", + field_type=ViewFieldType.UNKNOWN, + upstream_fields=_drop_hive_dot_from_upstream(cll.upstreams), + ) + ) + + return fields + + def get_upstream_column_ref( + self, field_context: LookerFieldContext + ) -> List[ColumnRef]: + sql_parsing_result: Optional[SqlParsingResult] = self._get_spr() + + if sql_parsing_result is None: + return [] + + upstreams_column_refs: List[ColumnRef] = [] + if sql_parsing_result.column_lineage: + for cll in sql_parsing_result.column_lineage: + if cll.downstream.column == field_context.name(): + upstreams_column_refs = cll.upstreams + break + + # field might get skip either because of Parser not able to identify the column from GMS + # in-case of "select * from look_ml_view.SQL_TABLE_NAME" or extra field are defined in the looker view which is + # referring to upstream table + if self._get_upstream_dataset_urn() and not upstreams_column_refs: + upstreams_column_refs = [ + ColumnRef( + table=self._get_upstream_dataset_urn()[ + 0 + ], # 0th index has table of from clause + column=column, + ) + for column in field_context.column_name_in_sql_attribute() + ] + + # fix any derived view reference present in urn + upstreams_column_refs = resolve_derived_view_urn_of_col_ref( + column_refs=upstreams_column_refs, + looker_view_id_cache=self.looker_view_id_cache, + base_folder_path=self.view_context.base_folder_path, + config=self.config, + ) + + return upstreams_column_refs + + def get_upstream_dataset_urn(self) -> List[Urn]: + return self._get_upstream_dataset_urn() + + +class NativeDerivedViewUpstream(AbstractViewUpstream): + """ + Handle the case where upstream dataset is defined as derived_table.explore_source + """ + + upstream_dataset_urns: List[str] + explore_column_mapping: Dict + + def __init__( + self, + view_context: LookerViewContext, + looker_view_id_cache: LookerViewIdCache, + config: LookMLSourceConfig, + ctx: PipelineContext, + ): + super().__init__(view_context, looker_view_id_cache, config, ctx) + self._get_upstream_dataset_urn = lru_cache(maxsize=1)( + self.__get_upstream_dataset_urn + ) + self._get_explore_column_mapping = lru_cache(maxsize=1)( + self.__get_explore_column_mapping + ) + + def __get_upstream_dataset_urn(self) -> List[str]: + current_view_id: Optional[ + LookerViewId + ] = self.looker_view_id_cache.get_looker_view_id( + view_name=self.view_context.name(), + base_folder_path=self.view_context.base_folder_path, + ) + + # Current view will always be present in cache. The assert will silence the lint + assert current_view_id + + # We're creating a "LookerExplore" just to use the urn generator. + upstream_dataset_urns: List[str] = [ + LookerExplore( + name=self.view_context.explore_source()[NAME], + model_name=current_view_id.model_name, + ).get_explore_urn(self.config) + ] + + return upstream_dataset_urns + + def __get_explore_column_mapping(self) -> Dict: + explore_columns: Dict = self.view_context.explore_source().get("columns", {}) + + explore_column_mapping = {} + + for column in explore_columns: + explore_column_mapping[column[NAME]] = column + + return explore_column_mapping + + def get_upstream_column_ref( + self, field_context: LookerFieldContext + ) -> List[ColumnRef]: + upstream_column_refs: List[ColumnRef] = [] + + if not self._get_upstream_dataset_urn(): + # No upstream explore dataset found + logging.debug( + f"upstream explore not found for field {field_context.name()} of view {self.view_context.name()}" + ) + return upstream_column_refs + + explore_urn: str = self._get_upstream_dataset_urn()[0] + + for column in field_context.column_name_in_sql_attribute(): + if column in self._get_explore_column_mapping(): + explore_column: Dict = self._get_explore_column_mapping()[column] + upstream_column_refs.append( + ColumnRef( + column=explore_column.get("field", explore_column[NAME]), + table=explore_urn, + ) + ) + + return upstream_column_refs + + def get_upstream_dataset_urn(self) -> List[Urn]: + return self._get_upstream_dataset_urn() + + +class RegularViewUpstream(AbstractViewUpstream): + """ + Handle the case where upstream dataset name is equal to view-name + """ + + upstream_dataset_urn: Optional[str] + + def __init__( + self, + view_context: LookerViewContext, + looker_view_id_cache: LookerViewIdCache, + config: LookMLSourceConfig, + ctx: PipelineContext, + ): + super().__init__(view_context, looker_view_id_cache, config, ctx) + self.upstream_dataset_urn = None + + self._get_upstream_dataset_urn = lru_cache(maxsize=1)( + self.__get_upstream_dataset_urn + ) + + def __get_upstream_dataset_urn(self) -> Urn: + # In regular case view's upstream dataset is either same as view-name or mentioned in "sql_table_name" field + # view_context.sql_table_name() handle this condition to return dataset name + qualified_table_name: str = _generate_fully_qualified_name( + sql_table_name=self.view_context.sql_table_name(), + connection_def=self.view_context.view_connection, + reporter=self.view_context.reporter, + ) + + self.upstream_dataset_urn = make_dataset_urn_with_platform_instance( + platform=self.view_context.view_connection.platform, + name=qualified_table_name.lower(), + platform_instance=self.view_context.view_connection.platform_instance, + env=self.view_context.view_connection.platform_env or self.config.env, + ) + + return self.upstream_dataset_urn + + def get_upstream_column_ref( + self, field_context: LookerFieldContext + ) -> List[ColumnRef]: + upstream_column_ref: List[ColumnRef] = [] + + for column_name in field_context.column_name_in_sql_attribute(): + upstream_column_ref.append( + ColumnRef(table=self._get_upstream_dataset_urn(), column=column_name) + ) + + return upstream_column_ref + + def get_upstream_dataset_urn(self) -> List[Urn]: + return [self._get_upstream_dataset_urn()] + + +class DotSqlTableNameViewUpstream(AbstractViewUpstream): + """ + Handle the case where upstream dataset name is mentioned as sql_table_name: ${view-name.SQL_TABLE_NAME} + """ + + upstream_dataset_urn: List[Urn] + + def __init__( + self, + view_context: LookerViewContext, + looker_view_id_cache: LookerViewIdCache, + config: LookMLSourceConfig, + ctx: PipelineContext, + ): + super().__init__(view_context, looker_view_id_cache, config, ctx) + self.upstream_dataset_urn = [] + + self._get_upstream_dataset_urn = lru_cache(maxsize=1)( + self.__get_upstream_dataset_urn + ) + + def __get_upstream_dataset_urn(self) -> List[Urn]: + # In this case view_context.sql_table_name() refers to derived view name + looker_view_id = get_derived_looker_view_id( + qualified_table_name=_generate_fully_qualified_name( + self.view_context.sql_table_name(), + self.view_context.view_connection, + self.view_context.reporter, + ), + base_folder_path=self.view_context.base_folder_path, + looker_view_id_cache=self.looker_view_id_cache, + ) + + if looker_view_id is not None: + self.upstream_dataset_urn = [ + looker_view_id.get_urn( + config=self.config, + ) + ] + + return self.upstream_dataset_urn + + def get_upstream_column_ref( + self, field_context: LookerFieldContext + ) -> List[ColumnRef]: + upstream_column_ref: List[ColumnRef] = [] + if not self._get_upstream_dataset_urn(): + return upstream_column_ref + + for column_name in field_context.column_name_in_sql_attribute(): + upstream_column_ref.append( + ColumnRef(table=self._get_upstream_dataset_urn()[0], column=column_name) + ) + + return upstream_column_ref + + def get_upstream_dataset_urn(self) -> List[Urn]: + return self._get_upstream_dataset_urn() + + +class EmptyImplementation(AbstractViewUpstream): + def get_upstream_column_ref( + self, field_context: LookerFieldContext + ) -> List[ColumnRef]: + return [] + + def get_upstream_dataset_urn(self) -> List[Urn]: + return [] + + +def create_view_upstream( + view_context: LookerViewContext, + looker_view_id_cache: LookerViewIdCache, + config: LookMLSourceConfig, + ctx: PipelineContext, + reporter: LookMLSourceReport, +) -> AbstractViewUpstream: + if view_context.is_regular_case(): + return RegularViewUpstream( + view_context=view_context, + config=config, + ctx=ctx, + looker_view_id_cache=looker_view_id_cache, + ) + + if view_context.is_sql_table_name_referring_to_view(): + return DotSqlTableNameViewUpstream( + view_context=view_context, + config=config, + ctx=ctx, + looker_view_id_cache=looker_view_id_cache, + ) + + if ( + view_context.is_sql_based_derived_case() + or view_context.is_sql_based_derived_view_without_fields_case() + ): + return SqlBasedDerivedViewUpstream( + view_context=view_context, + config=config, + ctx=ctx, + looker_view_id_cache=looker_view_id_cache, + ) + + if view_context.is_native_derived_case(): + return NativeDerivedViewUpstream( + view_context=view_context, + config=config, + ctx=ctx, + looker_view_id_cache=looker_view_id_cache, + ) + + reporter.report_warning( + title="Implementation Not Found", + message="No implementation found to resolve upstream of the view", + context=view_context.view_file_name(), + ) + + return EmptyImplementation( + view_context=view_context, + config=config, + ctx=ctx, + looker_view_id_cache=looker_view_id_cache, + ) diff --git a/metadata-ingestion/src/datahub/ingestion/source/metabase.py b/metadata-ingestion/src/datahub/ingestion/source/metabase.py index 12a76ff7b33ff7..49fa9dab5f1d8d 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/metabase.py +++ b/metadata-ingestion/src/datahub/ingestion/source/metabase.py @@ -211,8 +211,8 @@ def setup_session(self) -> None: test_response.raise_for_status() except HTTPError as e: self.report.report_failure( - key="metabase-session", - reason=f"Unable to retrieve user {self.config.username} information. %s" + title="Unable to Retrieve Current User", + message=f"Unable to retrieve user {self.config.username} information. %s" % str(e), ) @@ -223,8 +223,8 @@ def close(self) -> None: ) if response.status_code not in (200, 204): self.report.report_failure( - key="metabase-session", - reason=f"Unable to logout for user {self.config.username}", + title="Unable to Log User Out", + message=f"Unable to logout for user {self.config.username}", ) super().close() @@ -257,8 +257,9 @@ def emit_dashboard_mces(self) -> Iterable[MetadataWorkUnit]: except HTTPError as http_error: self.report.report_failure( - key="metabase-dashboard", - reason=f"Unable to retrieve dashboards. " f"Reason: {str(http_error)}", + title="Unable to Retrieve Dashboards", + message="Request to retrieve dashboards from Metabase failed.", + context=f"Error: {str(http_error)}", ) @staticmethod @@ -283,8 +284,9 @@ def construct_dashboard_from_api_data( dashboard_details = dashboard_response.json() except HTTPError as http_error: self.report.report_warning( - key=f"metabase-dashboard-{dashboard_id}", - reason=f"Unable to retrieve dashboard. " f"Reason: {str(http_error)}", + title="Unable to Retrieve Dashboard", + message="Request to retrieve dashboards from Metabase failed.", + context=f"Dashboard ID: {dashboard_id}, Error: {str(http_error)}", ) return None @@ -346,14 +348,16 @@ def _get_ownership(self, creator_id: int) -> Optional[OwnershipClass]: and http_error.response.status_code == 404 ): self.report.report_warning( - key=f"metabase-user-{creator_id}", - reason=f"User {creator_id} is blocked in Metabase or missing", + title="Cannot find user", + message="User is blocked in Metabase or missing", + context=f"Creator ID: {creator_id}", ) return None # For cases when the error is not 404 but something else self.report.report_warning( - key=f"metabase-user-{creator_id}", - reason=f"Unable to retrieve User info. " f"Reason: {str(http_error)}", + title="Failed to retrieve user", + message="Request to Metabase Failed", + context=f"Creator ID: {creator_id}, Error: {str(http_error)}", ) return None @@ -385,8 +389,9 @@ def emit_card_mces(self) -> Iterable[MetadataWorkUnit]: except HTTPError as http_error: self.report.report_failure( - key="metabase-cards", - reason=f"Unable to retrieve cards. " f"Reason: {str(http_error)}", + title="Unable to Retrieve Cards", + message="Request to retrieve cards from Metabase failed.", + context=f"Error: {str(http_error)}", ) return None @@ -407,8 +412,9 @@ def get_card_details_by_id(self, card_id: Union[int, str]) -> dict: return card_response.json() except HTTPError as http_error: self.report.report_warning( - key=f"metabase-card-{card_id}", - reason=f"Unable to retrieve Card info. " f"Reason: {str(http_error)}", + title="Unable to Retrieve Card", + message="Request to retrieve Card from Metabase failed.", + context=f"Card ID: {card_id}, Error: {str(http_error)}", ) return {} @@ -416,16 +422,18 @@ def construct_card_from_api_data(self, card_data: dict) -> Optional[ChartSnapsho card_id = card_data.get("id") if card_id is None: self.report.report_warning( - key="metabase-card", - reason=f"Unable to get Card id from card data {str(card_data)}", + title="Card is missing 'id'", + message="Unable to get field id from card data.", + context=f"Card Details: {str(card_data)}", ) return None card_details = self.get_card_details_by_id(card_id) if not card_details: self.report.report_warning( - key=f"metabase-card-{card_id}", - reason="Unable to construct Card due to empty card details", + title="Missing Card Details", + message="Unable to construct Card due to empty card details", + context=f"Card ID: {card_id}", ) return None @@ -441,7 +449,7 @@ def construct_card_from_api_data(self, card_data: dict) -> Optional[ChartSnapsho f"{last_edit_by.get('timestamp')}" ) last_modified = ChangeAuditStamps( - created=AuditStamp(time=modified_ts, actor=modified_actor), + created=None, lastModified=AuditStamp(time=modified_ts, actor=modified_actor), ) @@ -500,16 +508,18 @@ def _get_chart_type(self, card_id: int, display_type: str) -> Optional[str]: } if not display_type: self.report.report_warning( - key=f"metabase-card-{card_id}", - reason=f"Card type {display_type} is missing. Setting to None", + title="Unrecognized Card Type", + message=f"Unrecognized card type {display_type} found. Setting to None", + context=f"Card ID: {card_id}", ) return None try: chart_type = type_mapping[display_type] except KeyError: self.report.report_warning( - key=f"metabase-card-{card_id}", - reason=f"Chart type {display_type} not supported. Setting to None", + title="Unrecognized Chart Type", + message=f"Unrecognized chart type {display_type} found. Setting to None", + context=f"Card ID: {card_id}", ) chart_type = None @@ -543,8 +553,9 @@ def get_datasource_urn( ) -> Optional[List]: if recursion_depth > DATASOURCE_URN_RECURSION_LIMIT: self.report.report_warning( - key=f"metabase-card-{card_details.get('id')}", - reason="Unable to retrieve Card info. Reason: source table recursion depth exceeded", + title="Unable to Retrieve Card Info", + message="Unable to retrieve Card info. Source table recursion depth exceeded.", + context=f"Card Details: {card_details}", ) return None @@ -557,8 +568,9 @@ def get_datasource_urn( ) = self.get_datasource_from_id(datasource_id) if not platform: self.report.report_warning( - key=f"metabase-datasource-{datasource_id}", - reason=f"Unable to detect platform for database id {datasource_id}", + title="Unable to find Data Platform", + message="Unable to detect Data Platform for database id", + context=f"Data Source ID: {datasource_id}", ) return None @@ -613,8 +625,9 @@ def get_datasource_urn( f"{result.debug_info.table_error}" ) self.report.report_warning( - key="metabase-query", - reason=f"Unable to retrieve lineage from query: {raw_query_stripped}", + title="Failed to Extract Lineage", + message="Unable to retrieve lineage from query", + context=f"Query: {raw_query_stripped}", ) return result.in_tables @@ -654,8 +667,9 @@ def get_source_table_from_id( except HTTPError as http_error: self.report.report_warning( - key=f"metabase-table-{table_id}", - reason=f"Unable to retrieve source table. Reason: {str(http_error)}", + title="Failed to Retrieve Source Table", + message="Request to retrieve source table from Metadabase failed", + context=f"Table ID: {table_id}, Error: {str(http_error)}", ) return None, None @@ -702,8 +716,9 @@ def get_datasource_from_id( dataset_json = dataset_response.json() except HTTPError as http_error: self.report.report_warning( - key=f"metabase-datasource-{datasource_id}", - reason=f"Unable to retrieve Datasource. " f"Reason: {str(http_error)}", + title="Unable to Retrieve Data Source", + message="Request to retrieve data source from Metabase failed.", + context=f"Data Source ID: {datasource_id}, Error: {str(http_error)}", ) # returning empty string as `platform` because # `make_dataset_urn_with_platform_instance()` only accepts `str` @@ -730,8 +745,9 @@ def get_datasource_from_id( platform = engine self.report.report_warning( - key=f"metabase-platform-{datasource_id}", - reason=f"Platform was not found in DataHub. Using {platform} name as is", + title="Unrecognized Data Platform found", + message="Data Platform was not found. Using platform name as is", + context=f"Platform: {platform}", ) platform_instance = self.get_platform_instance( @@ -766,8 +782,9 @@ def get_datasource_from_id( dbname = self.config.database_alias_map[platform] else: self.report.report_warning( - key=f"metabase-dbname-{datasource_id}", - reason=f"Cannot determine database name for platform: {platform}", + title="Cannot resolve Database Name", + message="Cannot determine database name for platform", + context=f"Platform: {platform}", ) return platform, dbname, schema, platform_instance diff --git a/metadata-ingestion/src/datahub/ingestion/source/mode.py b/metadata-ingestion/src/datahub/ingestion/source/mode.py index 4aa6248d09ab38..4b4822bcb98cae 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/mode.py +++ b/metadata-ingestion/src/datahub/ingestion/source/mode.py @@ -311,8 +311,9 @@ def __init__(self, ctx: PipelineContext, config: ModeConfig): self._get_request_json(f"{self.config.connect_uri}/api/verify") except HTTPError as http_error: self.report.report_failure( - key="mode-session", - reason=f"Unable to verify connection. Error was: {str(http_error)}", + title="Failed to Connect", + message="Unable to verify connection to mode.", + context=f"Error: {str(http_error)}", ) self.workspace_uri = f"{self.config.connect_uri}/api/{self.config.workspace}" @@ -371,15 +372,15 @@ def construct_dashboard( if not report_token: self.report.report_warning( - key="mode-report", - reason=f"Report token is missing for {report_info.get('id', '')}", + title="Missing Report Token", + message=f"Report token is missing for {report_info.get('id', '')}", ) return None if not report_info.get("id"): self.report.report_warning( - key="mode-report", - reason=f"Report id is missing for {report_info.get('token', '')}", + title="Missing Report ID", + message=f"Report id is missing for {report_info.get('token', '')}", ) return None @@ -488,9 +489,9 @@ def _get_creator(self, href: str) -> Optional[str]: ) except HTTPError as http_error: self.report.report_warning( - key="mode-user", - reason=f"Unable to retrieve user for {href}, " - f"Reason: {str(http_error)}", + title="Failed to retrieve Mode creator", + message=f"Unable to retrieve user for {href}", + context=f"Reason: {str(http_error)}", ) return user @@ -528,9 +529,9 @@ def _get_space_name_and_tokens(self) -> dict: space_info[s.get("token", "")] = s.get("name", "") except HTTPError as http_error: self.report.report_failure( - key="mode-spaces", - reason=f"Unable to retrieve spaces/collections for {self.workspace_uri}, " - f"Reason: {str(http_error)}", + title="Failed to Retrieve Spaces", + message="Unable to retrieve spaces / collections for workspace.", + context=f"Workspace: {self.workspace_uri}, Error: {str(http_error)}", ) return space_info @@ -559,17 +560,19 @@ def _get_chart_type(self, token: str, display_type: str) -> Optional[str]: "histogram": ChartTypeClass.HISTOGRAM, } if not display_type: - self.report.report_warning( - key="mode-chart-type-mapper", - reason=f"{token}: Chart type is missing. Setting to None", + self.report.info( + title="Missing chart type found", + message="Chart type is missing. Setting to None", + context=f"Token: {token}", ) return None try: chart_type = type_mapping[display_type] except KeyError: - self.report.report_warning( - key="mode-chart-type-mapper", - reason=f"{token}: Chart type {display_type} not supported. Setting to None", + self.report.info( + title="Unrecognized chart type found", + message=f"Chart type {display_type} not supported. Setting to None", + context=f"Token: {token}", ) chart_type = None @@ -661,8 +664,8 @@ def _get_datahub_friendly_platform(self, adapter, platform): return platform_mapping[adapter] else: self.report.report_warning( - key=f"mode-platform-{adapter}", - reason=f"Platform was not found in DataHub. " + title="Unrecognized Platform Found", + message=f"Platform was not found in DataHub. " f"Using {platform} name as is", ) @@ -676,8 +679,9 @@ def _get_data_sources(self) -> List[dict]: data_sources = ds_json.get("_embedded", {}).get("data_sources", []) except HTTPError as http_error: self.report.report_failure( - key="mode-data-sources", - reason=f"Unable to retrieve data sources. Reason: {str(http_error)}", + title="Failed to retrieve Data Sources", + message="Unable to retrieve data sources from Mode.", + context=f"Error: {str(http_error)}", ) return data_sources @@ -690,8 +694,9 @@ def _get_platform_and_dbname( if not data_sources: self.report.report_failure( - key=f"mode-datasource-{data_source_id}", - reason=f"No data sources found for datasource id: " f"{data_source_id}", + title="No Data Sources Found", + message="Could not find data sources matching some ids", + context=f"Data Soutce ID: {data_source_id}", ) return None, None @@ -704,8 +709,8 @@ def _get_platform_and_dbname( return platform, database else: self.report.report_warning( - key=f"mode-datasource-{data_source_id}", - reason=f"Cannot create datasource urn for datasource id: " + title="Failed to create Data Platform Urn", + message=f"Cannot create datasource urn for datasource id: " f"{data_source_id}", ) return None, None @@ -761,9 +766,9 @@ def _get_definition(self, definition_name): except HTTPError as http_error: self.report.report_failure( - key=f"mode-definition-{definition_name}", - reason=f"Unable to retrieve definition for {definition_name}, " - f"Reason: {str(http_error)}", + title="Failed to Retrieve Definition", + message="Unable to retrieve definition from Mode.", + context=f"Definition Name: {definition_name}, Error: {str(http_error)}", ) return None @@ -782,10 +787,9 @@ def _get_source_from_query(self, raw_query: str) -> set: source_paths.add(f"{source_schema}.{source_table}") except Exception as e: self.report.report_failure( - key="mode-query", - reason=f"Unable to retrieve lineage from query. " - f"Query: {raw_query} " - f"Reason: {str(e)} ", + title="Failed to Extract Lineage From Query", + message="Unable to retrieve lineage from Mode query.", + context=f"Query: {raw_query}, Error: {str(e)}", ) return source_paths @@ -1321,9 +1325,9 @@ def _get_reports(self, space_token: str) -> List[dict]: reports = reports_json.get("_embedded", {}).get("reports", {}) except HTTPError as http_error: self.report.report_failure( - key=f"mode-report-{space_token}", - reason=f"Unable to retrieve reports for space token: {space_token}, " - f"Reason: {str(http_error)}", + title="Failed to Retrieve Reports for Space", + message="Unable to retrieve reports for space token.", + context=f"Space Token: {space_token}, Error: {str(http_error)}", ) return reports @@ -1337,9 +1341,9 @@ def _get_queries(self, report_token: str) -> list: queries = queries_json.get("_embedded", {}).get("queries", {}) except HTTPError as http_error: self.report.report_failure( - key=f"mode-query-{report_token}", - reason=f"Unable to retrieve queries for report token: {report_token}, " - f"Reason: {str(http_error)}", + title="Failed to Retrieve Queries", + message="Unable to retrieve queries for report token.", + context=f"Report Token: {report_token}, Error: {str(http_error)}", ) return queries @@ -1354,9 +1358,9 @@ def _get_last_query_run( queries = queries_json.get("_embedded", {}).get("queries", {}) except HTTPError as http_error: self.report.report_failure( - key=f"mode-query-{report_token}", - reason=f"Unable to retrieve queries for report token: {report_token}, " - f"Reason: {str(http_error)}", + title="Failed to Retrieve Queries for Report", + message="Unable to retrieve queries for report token.", + context=f"Report Token:{report_token}, Error: {str(http_error)}", ) return {} return queries @@ -1372,11 +1376,11 @@ def _get_charts(self, report_token: str, query_token: str) -> list: charts = charts_json.get("_embedded", {}).get("charts", {}) except HTTPError as http_error: self.report.report_failure( - key=f"mode-chart-{report_token}-{query_token}", - reason=f"Unable to retrieve charts: " - f"Report token: {report_token} " + title="Failed to Retrieve Charts", + message="Unable to retrieve charts from Mode.", + context=f"Report Token: {report_token}, " f"Query token: {query_token}, " - f"Reason: {str(http_error)}", + f"Error: {str(http_error)}", ) return charts diff --git a/metadata-ingestion/src/datahub/ingestion/source/mongodb.py b/metadata-ingestion/src/datahub/ingestion/source/mongodb.py index af6b44677dffac..7ce3b5bc34da2f 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/mongodb.py +++ b/metadata-ingestion/src/datahub/ingestion/source/mongodb.py @@ -317,8 +317,9 @@ def get_pymongo_type_string( try: type_string = PYMONGO_TYPE_TO_MONGO_TYPE[field_type] except KeyError: - self.report.report_warning( - collection_name, f"unable to map type {field_type} to metadata schema" + self.report.warning( + message="Unrecognized column types found", + context=f"Collection: {collection_name}, field type {field_type}", ) PYMONGO_TYPE_TO_MONGO_TYPE[field_type] = "unknown" type_string = "unknown" @@ -341,8 +342,9 @@ def get_field_type( TypeClass: Optional[Type] = _field_type_mapping.get(field_type) if TypeClass is None: - self.report.report_warning( - collection_name, f"unable to map type {field_type} to metadata schema" + self.report.warning( + message="Unrecognized column type found", + context=f"Collection: {collection_name}, field type {field_type}", ) TypeClass = NullTypeClass @@ -418,8 +420,9 @@ def get_workunits_internal(self) -> Iterable[MetadataWorkUnit]: if collection_schema_size > max_schema_size: # downsample the schema, using frequency as the sort key self.report.report_warning( - key=dataset_urn, - reason=f"Downsampling the collection schema because it has {collection_schema_size} fields. Threshold is {max_schema_size}", + title="Too many schema fields", + message=f"Downsampling the collection schema because it has too many schema fields. Configured threshold is {max_schema_size}", + context=f"Schema Size: {collection_schema_size}, Collection: {dataset_urn}", ) # Add this information to the custom properties so user can know they are looking at downsampled schema dataset_properties.customProperties[ diff --git a/metadata-ingestion/src/datahub/ingestion/source/nifi.py b/metadata-ingestion/src/datahub/ingestion/source/nifi.py index d650a9b1d1b4c2..1ad55407e2750c 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/nifi.py +++ b/metadata-ingestion/src/datahub/ingestion/source/nifi.py @@ -570,9 +570,9 @@ def update_flow(self, pg_flow_dto: Dict) -> None: # noqa: C901 ) if not pg_response.ok: - self.report_warning( - self.config.site_url, + self.report.warning( "Failed to get process group flow " + pg.get("id"), + self.config.site_url, ) continue @@ -619,11 +619,11 @@ def update_flow_keep_only_ingress_egress(self): or c.name.startswith("Fetch") or c.name.startswith("Put") ): - self.report_warning( - self.config.site_url, + self.report.warning( f"Dropping NiFi Processor of type {c.type}, id {c.id}, name {c.name} from lineage view. \ This is likely an Ingress or Egress node which may be reading to/writing from external datasets \ However not currently supported in datahub", + self.config.site_url, ) else: logger.debug( @@ -734,10 +734,10 @@ def fetch_provenance_events( processor, eventType, startDate, oldest_event_time ) else: - self.report_warning( - self.config.site_url, - f"provenance events could not be fetched for processor \ + self.report.warning( + f"Provenance events could not be fetched for processor \ {processor.id} of type {processor.name}", + self.config.site_url, ) logger.warning(provenance_response.text) return @@ -794,10 +794,6 @@ def submit_provenance_query(self, processor, eventType, startDate, endDate): return provenance_response - def report_warning(self, key: str, reason: str) -> None: - logger.warning(f"{key}: {reason}") - self.report.report_warning(key, reason) - def delete_provenance(self, provenance_uri): delete_response = self.session.delete(provenance_uri) if not delete_response.ok: @@ -826,7 +822,7 @@ def construct_workunits(self) -> Iterable[MetadataWorkUnit]: # noqa: C901 outgoing = list( filter(lambda x: x[0] == component.id, self.nifi_flow.connections) ) - inputJobs = [] + inputJobs = set() jobProperties = None if component.nifi_type is NifiType.PROCESSOR: @@ -877,7 +873,7 @@ def construct_workunits(self) -> Iterable[MetadataWorkUnit]: # noqa: C901 dataset_urn, ) else: - inputJobs.append( + inputJobs.add( builder.make_data_job_urn_with_flow(flow_urn, incoming_from) ) @@ -900,11 +896,11 @@ def construct_workunits(self) -> Iterable[MetadataWorkUnit]: # noqa: C901 site_urls = component.target_uris.split(",") # type: ignore for site_url in site_urls: if site_url not in self.config.site_url_to_site_name: - self.report_warning( - site_url, + self.report.warning( f"Site with url {site_url} is being used in flow but\ corresponding site name is not configured via site_url_to_site_name.\ This may result in broken lineage.", + site_url, ) else: site_name = self.config.site_url_to_site_name[site_url] @@ -921,11 +917,11 @@ def construct_workunits(self) -> Iterable[MetadataWorkUnit]: # noqa: C901 site_urls = component.target_uris.split(",") # type: ignore for site_url in site_urls: if site_url not in self.config.site_url_to_site_name: - self.report_warning( - self.config.site_url, + self.report.warning( f"Site with url {site_url} is being used in flow but\ corresponding site name is not configured via site_url_to_site_name.\ This may result in broken lineage.", + self.config.site_url, ) else: site_name = self.config.site_url_to_site_name[site_url] @@ -957,7 +953,7 @@ def construct_workunits(self) -> Iterable[MetadataWorkUnit]: # noqa: C901 job_properties=jobProperties, inlets=list(component.inlets.keys()), outlets=list(component.outlets.keys()), - inputJobs=inputJobs, + inputJobs=list(inputJobs), status=component.status, ) @@ -1054,17 +1050,15 @@ def get_workunits_internal(self) -> Iterable[MetadataWorkUnit]: try: self.authenticate() except Exception as e: - logger.error("Failed to authenticate", exc_info=e) - self.report.report_failure(self.config.site_url, "Failed to authenticate") + self.report.failure("Failed to authenticate", self.config.site_url, exc=e) return # Creates nifi_flow by invoking /flow rest api and saves as self.nifi_flow try: self.create_nifi_flow() except Exception as e: - logger.error("Failed to get root process group flow", exc_info=e) - self.report.report_failure( - self.config.site_url, "Failed to get root process group flow" + self.report.failure( + "Failed to get root process group flow", self.config.site_url, exc=e ) return diff --git a/metadata-ingestion/src/datahub/ingestion/source/openapi.py b/metadata-ingestion/src/datahub/ingestion/source/openapi.py index 0aa524547bd8ed..8289265483d598 100755 --- a/metadata-ingestion/src/datahub/ingestion/source/openapi.py +++ b/metadata-ingestion/src/datahub/ingestion/source/openapi.py @@ -184,27 +184,40 @@ def __init__(self, config: OpenApiConfig, ctx: PipelineContext, platform: str): self.report = SourceReport() self.url_basepath = "" - def report_bad_responses(self, status_code: int, key: str) -> None: + def report_bad_responses(self, status_code: int, type: str) -> None: if status_code == 400: self.report.report_warning( - key=key, reason="Unknown error for reaching endpoint" + title="Failed to Extract Metadata", + message="Bad request body when retrieving data from OpenAPI endpoint", + context=f"Endpoint Type: {type}, Status Code: {status_code}", ) elif status_code == 403: - self.report.report_warning(key=key, reason="Not authorised to get endpoint") + self.report.report_warning( + title="Unauthorized to Extract Metadata", + message="Received unauthorized response when attempting to retrieve data from OpenAPI endpoint", + context=f"Endpoint Type: {type}, Status Code: {status_code}", + ) elif status_code == 404: self.report.report_warning( - key=key, - reason="Unable to find an example for endpoint. Please add it to the list of forced examples.", + title="Failed to Extract Metadata", + message="Unable to find an example for endpoint. Please add it to the list of forced examples.", + context=f"Endpoint Type: {type}, Status Code: {status_code}", ) elif status_code == 500: self.report.report_warning( - key=key, reason="Server error for reaching endpoint" + title="Failed to Extract Metadata", + message="Received unknown server error from OpenAPI endpoint", + context=f"Endpoint Type: {type}, Status Code: {status_code}", ) elif status_code == 504: - self.report.report_warning(key=key, reason="Timeout for reaching endpoint") + self.report.report_warning( + title="Failed to Extract Metadata", + message="Timed out when attempting to retrieve data from OpenAPI endpoint", + context=f"Endpoint Type: {type}, Status Code: {status_code}", + ) else: raise Exception( - f"Unable to retrieve endpoint, response code {status_code}, key {key}" + f"Unable to retrieve endpoint, response code {status_code}, key {type}" ) def init_dataset( @@ -271,7 +284,7 @@ def get_workunits_internal(self) -> Iterable[ApiWorkUnit]: # noqa: C901 for w in warn_c: w_msg = w.message w_spl = w_msg.args[0].split(" --- ") # type: ignore - self.report.report_warning(key=w_spl[1], reason=w_spl[0]) + self.report.report_warning(message=w_spl[1], context=w_spl[0]) # here we put a sample from the "listing endpoint". To be used for later guessing of comosed endpoints. root_dataset_samples = {} @@ -293,8 +306,9 @@ def get_workunits_internal(self) -> Iterable[ApiWorkUnit]: # noqa: C901 yield self.build_wu(dataset_snapshot, dataset_name) elif endpoint_dets["method"] != "get": self.report.report_warning( - key=endpoint_k, - reason=f"No example provided for {endpoint_dets['method']}", + title="Failed to Extract Endpoint Metadata", + message=f"No example provided for {endpoint_dets['method']}", + context=f"Endpoint Type: {endpoint_k}, Name: {dataset_name}", ) continue # Only test endpoints if they're GETs elif ( @@ -319,13 +333,16 @@ def get_workunits_internal(self) -> Iterable[ApiWorkUnit]: # noqa: C901 response, dataset_name ) if not fields2add: - self.report.report_warning(key=endpoint_k, reason="No Fields") + self.report.info( + message="No fields found from endpoint response.", + context=f"Endpoint Type: {endpoint_k}, Name: {dataset_name}", + ) schema_metadata = set_metadata(dataset_name, fields2add) dataset_snapshot.aspects.append(schema_metadata) yield self.build_wu(dataset_snapshot, dataset_name) else: - self.report_bad_responses(response.status_code, key=endpoint_k) + self.report_bad_responses(response.status_code, type=endpoint_k) else: if endpoint_k not in config.forced_examples.keys(): # start guessing... @@ -347,15 +364,16 @@ def get_workunits_internal(self) -> Iterable[ApiWorkUnit]: # noqa: C901 if response.status_code == 200: fields2add, _ = extract_fields(response, dataset_name) if not fields2add: - self.report.report_warning( - key=endpoint_k, reason="No Fields" + self.report.info( + message="No fields found from endpoint response.", + context=f"Endpoint Type: {endpoint_k}, Name: {dataset_name}", ) schema_metadata = set_metadata(dataset_name, fields2add) dataset_snapshot.aspects.append(schema_metadata) yield self.build_wu(dataset_snapshot, dataset_name) else: - self.report_bad_responses(response.status_code, key=endpoint_k) + self.report_bad_responses(response.status_code, type=endpoint_k) else: composed_url = compose_url_attr( raw_url=endpoint_k, attr_list=config.forced_examples[endpoint_k] @@ -377,15 +395,16 @@ def get_workunits_internal(self) -> Iterable[ApiWorkUnit]: # noqa: C901 if response.status_code == 200: fields2add, _ = extract_fields(response, dataset_name) if not fields2add: - self.report.report_warning( - key=endpoint_k, reason="No Fields" + self.report.info( + message="No fields found from endpoint response.", + context=f"Endpoint Type: {endpoint_k}, Name: {dataset_name}", ) schema_metadata = set_metadata(dataset_name, fields2add) dataset_snapshot.aspects.append(schema_metadata) yield self.build_wu(dataset_snapshot, dataset_name) else: - self.report_bad_responses(response.status_code, key=endpoint_k) + self.report_bad_responses(response.status_code, type=endpoint_k) def get_report(self): return self.report diff --git a/metadata-ingestion/src/datahub/ingestion/source/redash.py b/metadata-ingestion/src/datahub/ingestion/source/redash.py index c82b1c030e2430..c7a3f25e947dc5 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/redash.py +++ b/metadata-ingestion/src/datahub/ingestion/source/redash.py @@ -555,7 +555,7 @@ def _get_dashboard_snapshot(self, dashboard_data, redash_version): title = dashboard_data.get("name", "") last_modified = ChangeAuditStamps( - created=AuditStamp(time=modified_ts, actor=modified_actor), + created=None, lastModified=AuditStamp(time=modified_ts, actor=modified_actor), ) @@ -659,7 +659,7 @@ def _get_chart_type_from_viz_data(self, viz_data: Dict) -> str: viz_type = viz_data.get("type", "") viz_options = viz_data.get("options", {}) globalSeriesType = viz_options.get("globalSeriesType", "") - report_key = f"redash-chart-{viz_data['id']}" + report_type = f"redash-chart-{viz_data['id']}" # handle Plotly chart types if viz_type == "CHART": @@ -667,14 +667,14 @@ def _get_chart_type_from_viz_data(self, viz_data: Dict) -> str: if chart_type is None: chart_type = DEFAULT_VISUALIZATION_TYPE message = f"ChartTypeClass for Redash Visualization Type={viz_type} with options.globalSeriesType={globalSeriesType} is missing. Setting to {DEFAULT_VISUALIZATION_TYPE}" - self.report.report_warning(key=report_key, reason=message) + self.report.report_warning(title=report_type, message=message) logger.warning(message) else: chart_type = VISUALIZATION_TYPE_MAP.get(viz_type) if chart_type is None: chart_type = DEFAULT_VISUALIZATION_TYPE message = f"ChartTypeClass for Redash Visualization Type={viz_type} is missing. Setting to {DEFAULT_VISUALIZATION_TYPE}" - self.report.report_warning(key=report_key, reason=message) + self.report.report_warning(title=report_type, message=message) logger.warning(message) return chart_type @@ -694,7 +694,7 @@ def _get_chart_snapshot(self, query_data: Dict, viz_data: Dict) -> ChartSnapshot title = f"{query_data.get('name')} {viz_data.get('name', '')}" last_modified = ChangeAuditStamps( - created=AuditStamp(time=modified_ts, actor=modified_actor), + created=None, lastModified=AuditStamp(time=modified_ts, actor=modified_actor), ) @@ -713,8 +713,8 @@ def _get_chart_snapshot(self, query_data: Dict, viz_data: Dict) -> ChartSnapshot self.report.charts_no_input.add(chart_urn) self.report.queries_no_dataset.add(str(query_id)) self.report.report_warning( - key="redash-chart-input-missing", - reason=f"For viz-id-{viz_id}-query-{query_id}-datasource-{data_source_id} data_source_type={data_source_type} no datasources found. Setting inputs to None", + title="redash-chart-input-missing", + message=f"For viz-id-{viz_id}-query-{query_id}-datasource-{data_source_id} data_source_type={data_source_type} no datasources found. Setting inputs to None", ) chart_info = ChartInfoClass( diff --git a/metadata-ingestion/src/datahub/ingestion/source/redshift/lineage.py b/metadata-ingestion/src/datahub/ingestion/source/redshift/lineage.py index 852deac13e5168..dadb06b6a95e26 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/redshift/lineage.py +++ b/metadata-ingestion/src/datahub/ingestion/source/redshift/lineage.py @@ -53,6 +53,7 @@ ) from datahub.metadata.urns import DatasetUrn from datahub.sql_parsing.schema_resolver import SchemaResolver +from datahub.sql_parsing.sqlglot_utils import get_dialect, parse_statement from datahub.utilities import memory_footprint from datahub.utilities.dedup_list import deduplicate_list @@ -128,7 +129,7 @@ def parse_alter_table_rename(default_schema: str, query: str) -> Tuple[str, str, Parses an ALTER TABLE ... RENAME TO ... query and returns the schema, previous table name, and new table name. """ - parsed_query = sqlglot.parse_one(query, dialect="redshift") + parsed_query = parse_statement(query, dialect=get_dialect("redshift")) assert isinstance(parsed_query, sqlglot.exp.AlterTable) prev_name = parsed_query.this.name rename_clause = parsed_query.args["actions"][0] @@ -865,10 +866,19 @@ def _process_table_renames( for rename_row in RedshiftDataDictionary.get_alter_table_commands( connection, query ): - schema, prev_name, new_name = parse_alter_table_rename( - default_schema=self.config.default_schema, - query=rename_row.query_text, - ) + # Redshift's system table has some issues where it encodes newlines as \n instead a proper + # newline character. This can cause issues in our parser. + query_text = rename_row.query_text.replace("\\n", "\n") + + try: + schema, prev_name, new_name = parse_alter_table_rename( + default_schema=self.config.default_schema, + query=query_text, + ) + except ValueError as e: + logger.info(f"Failed to parse alter table rename: {e}") + self.report.num_alter_table_parse_errors += 1 + continue prev_urn = make_dataset_urn_with_platform_instance( platform=LineageDatasetPlatform.REDSHIFT.value, diff --git a/metadata-ingestion/src/datahub/ingestion/source/redshift/lineage_v2.py b/metadata-ingestion/src/datahub/ingestion/source/redshift/lineage_v2.py index 062a99de6b7358..526e5e2cf12d02 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/redshift/lineage_v2.py +++ b/metadata-ingestion/src/datahub/ingestion/source/redshift/lineage_v2.py @@ -105,7 +105,15 @@ def build( for schema, tables in schemas.items() for table in tables } - self.aggregator.is_temp_table = lambda urn: urn not in self.known_urns + self.aggregator._is_temp_table = ( + lambda name: DatasetUrn.create_from_ids( + self.platform, + name, + env=self.config.env, + platform_instance=self.config.platform_instance, + ).urn() + not in self.known_urns + ) # Handle all the temp tables up front. if self.config.resolve_temp_table_in_lineage: diff --git a/metadata-ingestion/src/datahub/ingestion/source/redshift/redshift.py b/metadata-ingestion/src/datahub/ingestion/source/redshift/redshift.py index 6be7eedf976bd7..68821662762b63 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/redshift/redshift.py +++ b/metadata-ingestion/src/datahub/ingestion/source/redshift/redshift.py @@ -800,11 +800,7 @@ def gen_dataset_workunits( lastModified=( TimeStamp(time=int(table.last_altered.timestamp() * 1000)) if table.last_altered - else ( - TimeStamp(time=int(table.created.timestamp() * 1000)) - if table.created - else None - ) + else None ), description=table.comment, qualifiedName=str(datahub_dataset_name), diff --git a/metadata-ingestion/src/datahub/ingestion/source/redshift/report.py b/metadata-ingestion/src/datahub/ingestion/source/redshift/report.py index 3012f4949baeb4..ff28ed2c5e849c 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/redshift/report.py +++ b/metadata-ingestion/src/datahub/ingestion/source/redshift/report.py @@ -45,6 +45,7 @@ class RedshiftReport( num_lineage_dropped_not_support_copy_path: int = 0 num_lineage_processed_temp_tables = 0 num_lineage_dropped_s3_path: int = 0 + num_alter_table_parse_errors: int = 0 lineage_start_time: Optional[datetime] = None lineage_end_time: Optional[datetime] = None diff --git a/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_assertion.py b/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_assertion.py index a28a81cc5b955d..2a1d18c83e6fa8 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_assertion.py +++ b/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_assertion.py @@ -1,6 +1,6 @@ import logging from datetime import datetime -from typing import Callable, Iterable, List, Optional +from typing import Iterable, List, Optional from pydantic import BaseModel @@ -11,14 +11,14 @@ ) from datahub.emitter.mcp import MetadataChangeProposalWrapper from datahub.ingestion.api.workunit import MetadataWorkUnit -from datahub.ingestion.source.snowflake.snowflake_config import SnowflakeV2Config +from datahub.ingestion.source.snowflake.snowflake_config import ( + SnowflakeIdentifierConfig, + SnowflakeV2Config, +) +from datahub.ingestion.source.snowflake.snowflake_connection import SnowflakeConnection from datahub.ingestion.source.snowflake.snowflake_query import SnowflakeQuery from datahub.ingestion.source.snowflake.snowflake_report import SnowflakeV2Report -from datahub.ingestion.source.snowflake.snowflake_utils import ( - SnowflakeCommonMixin, - SnowflakeConnectionMixin, - SnowflakeQueryMixin, -) +from datahub.ingestion.source.snowflake.snowflake_utils import SnowflakeIdentifierMixin from datahub.metadata.com.linkedin.pegasus2avro.assertion import ( AssertionResult, AssertionResultType, @@ -40,30 +40,27 @@ class DataQualityMonitoringResult(BaseModel): VALUE: int -class SnowflakeAssertionsHandler( - SnowflakeCommonMixin, SnowflakeQueryMixin, SnowflakeConnectionMixin -): +class SnowflakeAssertionsHandler(SnowflakeIdentifierMixin): def __init__( self, config: SnowflakeV2Config, report: SnowflakeV2Report, - dataset_urn_builder: Callable[[str], str], + connection: SnowflakeConnection, ) -> None: self.config = config self.report = report self.logger = logger - self.dataset_urn_builder = dataset_urn_builder - self.connection = None + self.connection = connection self._urns_processed: List[str] = [] + @property + def identifier_config(self) -> SnowflakeIdentifierConfig: + return self.config + def get_assertion_workunits( self, discovered_datasets: List[str] ) -> Iterable[MetadataWorkUnit]: - self.connection = self.create_connection() - if self.connection is None: - return - - cur = self.query( + cur = self.connection.query( SnowflakeQuery.dmf_assertion_results( datetime_to_ts_millis(self.config.start_time), datetime_to_ts_millis(self.config.end_time), @@ -110,7 +107,7 @@ def _process_result_row( aspect=AssertionRunEvent( timestampMillis=datetime_to_ts_millis(result.MEASUREMENT_TIME), runId=result.MEASUREMENT_TIME.strftime("%Y-%m-%dT%H:%M:%SZ"), - asserteeUrn=self.dataset_urn_builder(assertee), + asserteeUrn=self.gen_dataset_urn(assertee), status=AssertionRunStatus.COMPLETE, assertionUrn=make_assertion_urn(assertion_guid), result=AssertionResult( diff --git a/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_config.py b/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_config.py index 588187e8e11c28..f6247eb949417b 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_config.py +++ b/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_config.py @@ -4,24 +4,31 @@ from enum import Enum from typing import Dict, List, Optional, Set, cast +import pydantic from pydantic import Field, SecretStr, root_validator, validator from datahub.configuration.common import AllowDenyPattern, ConfigModel from datahub.configuration.pattern_utils import UUID_REGEX +from datahub.configuration.source_common import ( + EnvConfigMixin, + LowerCaseDatasetUrnConfigMixin, + PlatformInstanceConfigMixin, +) +from datahub.configuration.time_window_config import BaseTimeWindowConfig from datahub.configuration.validate_field_removal import pydantic_removed_field from datahub.configuration.validate_field_rename import pydantic_renamed_field from datahub.ingestion.glossary.classification_mixin import ( ClassificationSourceConfigMixin, ) +from datahub.ingestion.source.snowflake.snowflake_connection import ( + SnowflakeConnectionConfig, +) +from datahub.ingestion.source.sql.sql_config import SQLCommonConfig, SQLFilterConfig from datahub.ingestion.source.state.stateful_ingestion_base import ( StatefulLineageConfigMixin, StatefulProfilingConfigMixin, StatefulUsageConfigMixin, ) -from datahub.ingestion.source_config.sql.snowflake import ( - BaseSnowflakeConfig, - SnowflakeConfig, -) from datahub.ingestion.source_config.usage.snowflake_usage import SnowflakeUsageConfig from datahub.utilities.global_warning_util import add_global_warning @@ -32,11 +39,12 @@ # # DBT incremental models create temporary tables ending with __dbt_tmp # Ref - https://discourse.getdbt.com/t/handling-bigquery-incremental-dbt-tmp-tables/7540 -DEFAULT_TABLES_DENY_LIST = [ +DEFAULT_TEMP_TABLES_PATTERNS = [ r".*\.FIVETRAN_.*_STAGING\..*", # fivetran r".*__DBT_TMP$", # dbt rf".*\.SEGMENT_{UUID_REGEX}", # segment rf".*\.STAGING_.*_{UUID_REGEX}", # stitch + r".*\.(GE_TMP_|GE_TEMP_|GX_TEMP_)[0-9A-F]{8}", # great expectations ] @@ -73,6 +81,93 @@ def source_database(self) -> DatabaseId: return DatabaseId(self.database, self.platform_instance) +class SnowflakeFilterConfig(SQLFilterConfig): + database_pattern: AllowDenyPattern = Field( + AllowDenyPattern( + deny=[r"^UTIL_DB$", r"^SNOWFLAKE$", r"^SNOWFLAKE_SAMPLE_DATA$"], + ), + description="Regex patterns for databases to filter in ingestion.", + ) + + schema_pattern: AllowDenyPattern = Field( + default=AllowDenyPattern.allow_all(), + description="Regex patterns for schemas to filter in ingestion. Will match against the full `database.schema` name if `match_fully_qualified_names` is enabled.", + ) + # table_pattern and view_pattern are inherited from SQLFilterConfig + + match_fully_qualified_names: bool = Field( + default=False, + description="Whether `schema_pattern` is matched against fully qualified schema name `.`.", + ) + + @root_validator(pre=False, skip_on_failure=True) + def validate_legacy_schema_pattern(cls, values: Dict) -> Dict: + schema_pattern: Optional[AllowDenyPattern] = values.get("schema_pattern") + match_fully_qualified_names = values.get("match_fully_qualified_names") + + if ( + schema_pattern is not None + and schema_pattern != AllowDenyPattern.allow_all() + and match_fully_qualified_names is not None + and not match_fully_qualified_names + ): + logger.warning( + "Please update `schema_pattern` to match against fully qualified schema name `.` and set config `match_fully_qualified_names : True`." + "Current default `match_fully_qualified_names: False` is only to maintain backward compatibility. " + "The config option `match_fully_qualified_names` will be deprecated in future and the default behavior will assume `match_fully_qualified_names: True`." + ) + + # Always exclude reporting metadata for INFORMATION_SCHEMA schema + if schema_pattern is not None and schema_pattern: + logger.debug("Adding deny for INFORMATION_SCHEMA to schema_pattern.") + cast(AllowDenyPattern, schema_pattern).deny.append(r".*INFORMATION_SCHEMA$") + + return values + + +class SnowflakeIdentifierConfig( + PlatformInstanceConfigMixin, EnvConfigMixin, LowerCaseDatasetUrnConfigMixin +): + # Changing default value here. + convert_urns_to_lowercase: bool = Field( + default=True, + ) + + +# TODO: SnowflakeConfig is unused except for this inheritance. We should collapse the config inheritance hierarchy. +class SnowflakeConfig( + SnowflakeIdentifierConfig, + SnowflakeFilterConfig, + # SnowflakeFilterConfig must come before (higher precedence) the SQLCommon config, so that the documentation overrides are applied. + SnowflakeConnectionConfig, + BaseTimeWindowConfig, + SQLCommonConfig, +): + include_table_lineage: bool = pydantic.Field( + default=True, + description="If enabled, populates the snowflake table-to-table and s3-to-snowflake table lineage. Requires appropriate grants given to the role and Snowflake Enterprise Edition or above.", + ) + include_view_lineage: bool = pydantic.Field( + default=True, + description="If enabled, populates the snowflake view->table and table->view lineages. Requires appropriate grants given to the role, and include_table_lineage to be True. view->table lineage requires Snowflake Enterprise Edition or above.", + ) + + ignore_start_time_lineage: bool = False + upstream_lineage_in_report: bool = False + + @pydantic.root_validator(skip_on_failure=True) + def validate_include_view_lineage(cls, values): + if ( + "include_table_lineage" in values + and not values.get("include_table_lineage") + and values.get("include_view_lineage") + ): + raise ValueError( + "include_table_lineage must be True for include_view_lineage to be set." + ) + return values + + class SnowflakeV2Config( SnowflakeConfig, SnowflakeUsageConfig, @@ -81,10 +176,6 @@ class SnowflakeV2Config( StatefulProfilingConfigMixin, ClassificationSourceConfigMixin, ): - convert_urns_to_lowercase: bool = Field( - default=True, - ) - include_usage_stats: bool = Field( default=True, description="If enabled, populates the snowflake usage statistics. Requires appropriate grants given to the role.", @@ -133,11 +224,6 @@ class SnowflakeV2Config( description="Whether to populate Snowsight url for Snowflake Objects", ) - match_fully_qualified_names: bool = Field( - default=False, - description="Whether `schema_pattern` is matched against fully qualified schema name `.`.", - ) - _use_legacy_lineage_method_removed = pydantic_removed_field( "use_legacy_lineage_method" ) @@ -154,7 +240,7 @@ class SnowflakeV2Config( # This is required since access_history table does not capture whether the table was temporary table. temporary_tables_pattern: List[str] = Field( - default=DEFAULT_TABLES_DENY_LIST, + default=DEFAULT_TEMP_TABLES_PATTERNS, description="[Advanced] Regex patterns for temporary tables to filter in lineage ingestion. Specify regex to " "match the entire table name in database.schema.table format. Defaults are to set in such a way " "to ignore the temporary staging tables created by known ETL tools.", @@ -210,27 +296,6 @@ def validate_unsupported_configs(cls, values: Dict) -> Dict: "include_read_operational_stats is not supported. Set `include_read_operational_stats` to False.", ) - match_fully_qualified_names = values.get("match_fully_qualified_names") - - schema_pattern: Optional[AllowDenyPattern] = values.get("schema_pattern") - - if ( - schema_pattern is not None - and schema_pattern != AllowDenyPattern.allow_all() - and match_fully_qualified_names is not None - and not match_fully_qualified_names - ): - logger.warning( - "Please update `schema_pattern` to match against fully qualified schema name `.` and set config `match_fully_qualified_names : True`." - "Current default `match_fully_qualified_names: False` is only to maintain backward compatibility. " - "The config option `match_fully_qualified_names` will be deprecated in future and the default behavior will assume `match_fully_qualified_names: True`." - ) - - # Always exclude reporting metadata for INFORMATION_SCHEMA schema - if schema_pattern is not None and schema_pattern: - logger.debug("Adding deny for INFORMATION_SCHEMA to schema_pattern.") - cast(AllowDenyPattern, schema_pattern).deny.append(r".*INFORMATION_SCHEMA$") - include_technical_schema = values.get("include_technical_schema") include_profiles = ( values.get("profiling") is not None and values["profiling"].enabled @@ -259,7 +324,7 @@ def get_sql_alchemy_url( password: Optional[SecretStr] = None, role: Optional[str] = None, ) -> str: - return BaseSnowflakeConfig.get_sql_alchemy_url( + return SnowflakeConnectionConfig.get_sql_alchemy_url( self, database=database, username=username, password=password, role=role ) diff --git a/metadata-ingestion/src/datahub/ingestion/source_config/sql/snowflake.py b/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_connection.py similarity index 81% rename from metadata-ingestion/src/datahub/ingestion/source_config/sql/snowflake.py rename to metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_connection.py index 521e755b6a00c5..e981ed3e2e6650 100644 --- a/metadata-ingestion/src/datahub/ingestion/source_config/sql/snowflake.py +++ b/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_connection.py @@ -5,6 +5,8 @@ import snowflake.connector from cryptography.hazmat.backends import default_backend from cryptography.hazmat.primitives import serialization +from snowflake.connector import SnowflakeConnection as NativeSnowflakeConnection +from snowflake.connector.cursor import DictCursor from snowflake.connector.network import ( DEFAULT_AUTHENTICATOR, EXTERNAL_BROWSER_AUTHENTICATOR, @@ -12,38 +14,41 @@ OAUTH_AUTHENTICATOR, ) -from datahub.configuration.common import AllowDenyPattern, ConfigModel +from datahub.configuration.common import ConfigModel, ConfigurationError, MetaError from datahub.configuration.connection_resolver import auto_connection_resolver from datahub.configuration.oauth import OAuthConfiguration, OAuthIdentityProvider -from datahub.configuration.time_window_config import BaseTimeWindowConfig from datahub.configuration.validate_field_rename import pydantic_renamed_field from datahub.ingestion.source.snowflake.constants import ( CLIENT_PREFETCH_THREADS, CLIENT_SESSION_KEEP_ALIVE, ) from datahub.ingestion.source.sql.oauth_generator import OAuthTokenGenerator -from datahub.ingestion.source.sql.sql_config import SQLCommonConfig, make_sqlalchemy_uri +from datahub.ingestion.source.sql.sql_config import make_sqlalchemy_uri from datahub.utilities.config_clean import ( remove_protocol, remove_suffix, remove_trailing_slashes, ) -logger: logging.Logger = logging.getLogger(__name__) +logger = logging.getLogger(__name__) -APPLICATION_NAME: str = "acryl_datahub" +_APPLICATION_NAME: str = "acryl_datahub" -VALID_AUTH_TYPES: Dict[str, str] = { +_VALID_AUTH_TYPES: Dict[str, str] = { "DEFAULT_AUTHENTICATOR": DEFAULT_AUTHENTICATOR, "EXTERNAL_BROWSER_AUTHENTICATOR": EXTERNAL_BROWSER_AUTHENTICATOR, "KEY_PAIR_AUTHENTICATOR": KEY_PAIR_AUTHENTICATOR, "OAUTH_AUTHENTICATOR": OAUTH_AUTHENTICATOR, } -SNOWFLAKE_HOST_SUFFIX = ".snowflakecomputing.com" +_SNOWFLAKE_HOST_SUFFIX = ".snowflakecomputing.com" -class BaseSnowflakeConfig(ConfigModel): +class SnowflakePermissionError(MetaError): + """A permission error has happened""" + + +class SnowflakeConnectionConfig(ConfigModel): # Note: this config model is also used by the snowflake-usage source. _connection = auto_connection_resolver() @@ -106,15 +111,15 @@ def get_account(self) -> str: def validate_account_id(cls, account_id: str) -> str: account_id = remove_protocol(account_id) account_id = remove_trailing_slashes(account_id) - account_id = remove_suffix(account_id, SNOWFLAKE_HOST_SUFFIX) + account_id = remove_suffix(account_id, _SNOWFLAKE_HOST_SUFFIX) return account_id @pydantic.validator("authentication_type", always=True) def authenticator_type_is_valid(cls, v, values): - if v not in VALID_AUTH_TYPES.keys(): + if v not in _VALID_AUTH_TYPES.keys(): raise ValueError( f"unsupported authenticator type '{v}' was provided," - f" use one of {list(VALID_AUTH_TYPES.keys())}" + f" use one of {list(_VALID_AUTH_TYPES.keys())}" ) if ( values.get("private_key") is not None @@ -189,10 +194,10 @@ def get_sql_alchemy_url( # Drop the options if value is None. key: value for (key, value) in { - "authenticator": VALID_AUTH_TYPES.get(self.authentication_type), + "authenticator": _VALID_AUTH_TYPES.get(self.authentication_type), "warehouse": self.warehouse, "role": role, - "application": APPLICATION_NAME, + "application": _APPLICATION_NAME, }.items() if value }, @@ -255,7 +260,7 @@ def get_options(self) -> dict: self.options["connect_args"] = options_connect_args return self.options - def get_oauth_connection(self) -> snowflake.connector.SnowflakeConnection: + def get_oauth_connection(self) -> NativeSnowflakeConnection: assert ( self.oauth_config ), "oauth_config should be provided if using oauth based authentication" @@ -292,12 +297,12 @@ def get_oauth_connection(self) -> snowflake.connector.SnowflakeConnection: token=token, role=self.role, warehouse=self.warehouse, - authenticator=VALID_AUTH_TYPES.get(self.authentication_type), - application=APPLICATION_NAME, + authenticator=_VALID_AUTH_TYPES.get(self.authentication_type), + application=_APPLICATION_NAME, **connect_args, ) - def get_key_pair_connection(self) -> snowflake.connector.SnowflakeConnection: + def get_key_pair_connection(self) -> NativeSnowflakeConnection: connect_args = self.get_options()["connect_args"] return snowflake.connector.connect( @@ -305,12 +310,12 @@ def get_key_pair_connection(self) -> snowflake.connector.SnowflakeConnection: account=self.account_id, warehouse=self.warehouse, role=self.role, - authenticator=VALID_AUTH_TYPES.get(self.authentication_type), - application=APPLICATION_NAME, + authenticator=_VALID_AUTH_TYPES.get(self.authentication_type), + application=_APPLICATION_NAME, **connect_args, ) - def get_connection(self) -> snowflake.connector.SnowflakeConnection: + def get_native_connection(self) -> NativeSnowflakeConnection: connect_args = self.get_options()["connect_args"] if self.authentication_type == "DEFAULT_AUTHENTICATOR": return snowflake.connector.connect( @@ -319,7 +324,7 @@ def get_connection(self) -> snowflake.connector.SnowflakeConnection: account=self.account_id, warehouse=self.warehouse, role=self.role, - application=APPLICATION_NAME, + application=_APPLICATION_NAME, **connect_args, ) elif self.authentication_type == "OAUTH_AUTHENTICATOR": @@ -333,40 +338,59 @@ def get_connection(self) -> snowflake.connector.SnowflakeConnection: account=self.account_id, warehouse=self.warehouse, role=self.role, - authenticator=VALID_AUTH_TYPES.get(self.authentication_type), - application=APPLICATION_NAME, + authenticator=_VALID_AUTH_TYPES.get(self.authentication_type), + application=_APPLICATION_NAME, **connect_args, ) else: # not expected to be here raise Exception("Not expected to be here.") + def get_connection(self) -> "SnowflakeConnection": + try: + return SnowflakeConnection(self.get_native_connection()) + except Exception as e: + logger.debug(e, exc_info=e) -class SnowflakeConfig(BaseSnowflakeConfig, BaseTimeWindowConfig, SQLCommonConfig): - include_table_lineage: bool = pydantic.Field( - default=True, - description="If enabled, populates the snowflake table-to-table and s3-to-snowflake table lineage. Requires appropriate grants given to the role and Snowflake Enterprise Edition or above.", - ) - include_view_lineage: bool = pydantic.Field( - default=True, - description="If enabled, populates the snowflake view->table and table->view lineages. Requires appropriate grants given to the role, and include_table_lineage to be True. view->table lineage requires Snowflake Enterprise Edition or above.", - ) + if "not granted to this user" in str(e): + raise SnowflakePermissionError( + f"Permissions error when connecting to snowflake: {e}" + ) from e - database_pattern: AllowDenyPattern = AllowDenyPattern( - deny=[r"^UTIL_DB$", r"^SNOWFLAKE$", r"^SNOWFLAKE_SAMPLE_DATA$"] - ) + raise ConfigurationError( + f"Failed to connect to snowflake instance: {e}" + ) from e - ignore_start_time_lineage: bool = False - upstream_lineage_in_report: bool = False - @pydantic.root_validator(skip_on_failure=True) - def validate_include_view_lineage(cls, values): - if ( - "include_table_lineage" in values - and not values.get("include_table_lineage") - and values.get("include_view_lineage") - ): - raise ValueError( - "include_table_lineage must be True for include_view_lineage to be set." - ) - return values +class SnowflakeConnection: + _connection: NativeSnowflakeConnection + + def __init__(self, connection: NativeSnowflakeConnection): + self._connection = connection + + def native_connection(self) -> NativeSnowflakeConnection: + return self._connection + + def query(self, query: str) -> Any: + try: + logger.info(f"Query: {query}", stacklevel=2) + resp = self._connection.cursor(DictCursor).execute(query) + return resp + + except Exception as e: + if _is_permission_error(e): + raise SnowflakePermissionError(e) from e + raise + + def is_closed(self) -> bool: + return self._connection.is_closed() + + def close(self): + self._connection.close() + + +def _is_permission_error(e: Exception) -> bool: + msg = str(e) + # 002003 (02000): SQL compilation error: Database/SCHEMA 'XXXX' does not exist or not authorized. + # Insufficient privileges to operate on database 'XXXX' + return "Insufficient privileges" in msg or "not authorized" in msg diff --git a/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_data_reader.py b/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_data_reader.py index 9fa81cb1bd20cb..c9615bb498fe48 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_data_reader.py +++ b/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_data_reader.py @@ -2,9 +2,9 @@ from typing import Any, Callable, Dict, List import pandas as pd -from snowflake.connector import SnowflakeConnection from datahub.ingestion.source.common.data_reader import DataReader +from datahub.ingestion.source.snowflake.snowflake_connection import SnowflakeConnection from datahub.utilities.perf_timer import PerfTimer logger = logging.Logger(__name__) @@ -39,7 +39,7 @@ def get_sample_data_for_table( logger.debug( f"Collecting sample values for table {db_name}.{schema_name}.{table_name}" ) - with PerfTimer() as timer, self.conn.cursor() as cursor: + with PerfTimer() as timer, self.conn.native_connection().cursor() as cursor: sql = f'select * from "{db_name}"."{schema_name}"."{table_name}" sample ({sample_size} rows);' cursor.execute(sql) dat = cursor.fetchall() diff --git a/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_lineage_v2.py b/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_lineage_v2.py index b12ef4d19c45c8..3e65f062004189 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_lineage_v2.py +++ b/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_lineage_v2.py @@ -5,9 +5,9 @@ from typing import Any, Callable, Collection, Iterable, List, Optional, Set, Tuple, Type from pydantic import BaseModel, validator -from snowflake.connector import SnowflakeConnection from datahub.configuration.datetimes import parse_absolute_time +from datahub.ingestion.api.closeable import Closeable from datahub.ingestion.api.workunit import MetadataWorkUnit from datahub.ingestion.source.aws.s3_util import make_s3_urn_for_lineage from datahub.ingestion.source.snowflake.constants import ( @@ -15,14 +15,13 @@ SnowflakeEdition, ) from datahub.ingestion.source.snowflake.snowflake_config import SnowflakeV2Config -from datahub.ingestion.source.snowflake.snowflake_query import SnowflakeQuery -from datahub.ingestion.source.snowflake.snowflake_report import SnowflakeV2Report -from datahub.ingestion.source.snowflake.snowflake_utils import ( - SnowflakeCommonMixin, - SnowflakeConnectionMixin, +from datahub.ingestion.source.snowflake.snowflake_connection import ( + SnowflakeConnection, SnowflakePermissionError, - SnowflakeQueryMixin, ) +from datahub.ingestion.source.snowflake.snowflake_query import SnowflakeQuery +from datahub.ingestion.source.snowflake.snowflake_report import SnowflakeV2Report +from datahub.ingestion.source.snowflake.snowflake_utils import SnowflakeCommonMixin from datahub.ingestion.source.state.redundant_run_skip_handler import ( RedundantLineageRunSkipHandler, ) @@ -30,6 +29,7 @@ from datahub.sql_parsing.sql_parsing_aggregator import ( ColumnLineageInfo, ColumnRef, + KnownLineageMapping, KnownQueryLineageInfo, SqlParsingAggregator, UrnStr, @@ -101,9 +101,7 @@ class SnowflakeColumnId: object_domain: Optional[str] = None -class SnowflakeLineageExtractor( - SnowflakeQueryMixin, SnowflakeConnectionMixin, SnowflakeCommonMixin -): +class SnowflakeLineageExtractor(SnowflakeCommonMixin, Closeable): """ Extracts Lineage from Snowflake. Following lineage edges are considered. @@ -120,6 +118,7 @@ def __init__( self, config: SnowflakeV2Config, report: SnowflakeV2Report, + connection: SnowflakeConnection, dataset_urn_builder: Callable[[str], str], redundant_run_skip_handler: Optional[RedundantLineageRunSkipHandler], sql_aggregator: SqlParsingAggregator, @@ -128,7 +127,7 @@ def __init__( self.report = report self.logger = logger self.dataset_urn_builder = dataset_urn_builder - self.connection: Optional[SnowflakeConnection] = None + self.connection = connection self.sql_aggregator = sql_aggregator self.redundant_run_skip_handler = redundant_run_skip_handler @@ -165,10 +164,6 @@ def get_workunits( if not self._should_ingest_lineage(): return - self.connection = self.create_connection() - if self.connection is None: - return - # s3 dataset -> snowflake table self._populate_external_upstreams(discovered_tables) @@ -264,13 +259,20 @@ def _populate_external_upstreams(self, discovered_tables: List[str]) -> None: with PerfTimer() as timer: self.report.num_external_table_edges_scanned = 0 - self._populate_external_lineage_from_copy_history(discovered_tables) + for ( + known_lineage_mapping + ) in self._populate_external_lineage_from_copy_history(discovered_tables): + self.sql_aggregator.add(known_lineage_mapping) logger.info( "Done populating external lineage from copy history. " f"Found {self.report.num_external_table_edges_scanned} external lineage edges so far." ) - self._populate_external_lineage_from_show_query(discovered_tables) + for ( + known_lineage_mapping + ) in self._populate_external_lineage_from_show_query(discovered_tables): + self.sql_aggregator.add(known_lineage_mapping) + logger.info( "Done populating external lineage from show external tables. " f"Found {self.report.num_external_table_edges_scanned} external lineage edges so far." @@ -282,10 +284,10 @@ def _populate_external_upstreams(self, discovered_tables: List[str]) -> None: # NOTE: Snowflake does not log this information to the access_history table. def _populate_external_lineage_from_show_query( self, discovered_tables: List[str] - ) -> None: + ) -> Iterable[KnownLineageMapping]: external_tables_query: str = SnowflakeQuery.show_external_tables() try: - for db_row in self.query(external_tables_query): + for db_row in self.connection.query(external_tables_query): key = self.get_dataset_identifier( db_row["name"], db_row["schema_name"], db_row["database_name"] ) @@ -293,11 +295,11 @@ def _populate_external_lineage_from_show_query( if key not in discovered_tables: continue if db_row["location"].startswith("s3://"): - self.sql_aggregator.add_known_lineage_mapping( - downstream_urn=self.dataset_urn_builder(key), + yield KnownLineageMapping( upstream_urn=make_s3_urn_for_lineage( db_row["location"], self.config.env ), + downstream_urn=self.dataset_urn_builder(key), ) self.report.num_external_table_edges_scanned += 1 @@ -316,7 +318,7 @@ def _populate_external_lineage_from_show_query( # NOTE: Snowflake does not log this information to the access_history table. def _populate_external_lineage_from_copy_history( self, discovered_tables: List[str] - ) -> None: + ) -> Iterable[KnownLineageMapping]: query: str = SnowflakeQuery.copy_lineage_history( start_time_millis=int(self.start_time.timestamp() * 1000), end_time_millis=int(self.end_time.timestamp() * 1000), @@ -324,8 +326,12 @@ def _populate_external_lineage_from_copy_history( ) try: - for db_row in self.query(query): - self._process_external_lineage_result_row(db_row, discovered_tables) + for db_row in self.connection.query(query): + known_lineage_mapping = self._process_external_lineage_result_row( + db_row, discovered_tables + ) + if known_lineage_mapping: + yield known_lineage_mapping except Exception as e: if isinstance(e, SnowflakePermissionError): error_msg = "Failed to get external lineage. Please grant imported privileges on SNOWFLAKE database. " @@ -340,35 +346,40 @@ def _populate_external_lineage_from_copy_history( def _process_external_lineage_result_row( self, db_row: dict, discovered_tables: List[str] - ) -> None: + ) -> Optional[KnownLineageMapping]: # key is the down-stream table name key: str = self.get_dataset_identifier_from_qualified_name( db_row["DOWNSTREAM_TABLE_NAME"] ) if key not in discovered_tables: - return + return None if db_row["UPSTREAM_LOCATIONS"] is not None: external_locations = json.loads(db_row["UPSTREAM_LOCATIONS"]) for loc in external_locations: if loc.startswith("s3://"): - self.sql_aggregator.add_known_lineage_mapping( - downstream_urn=self.dataset_urn_builder(key), + self.report.num_external_table_edges_scanned += 1 + return KnownLineageMapping( upstream_urn=make_s3_urn_for_lineage(loc, self.config.env), + downstream_urn=self.dataset_urn_builder(key), ) - self.report.num_external_table_edges_scanned += 1 + + return None def _fetch_upstream_lineages_for_tables(self) -> Iterable[UpstreamLineageEdge]: query: str = SnowflakeQuery.table_to_table_lineage_history_v2( start_time_millis=int(self.start_time.timestamp() * 1000), end_time_millis=int(self.end_time.timestamp() * 1000), upstreams_deny_pattern=self.config.temporary_tables_pattern, - include_view_lineage=self.config.include_view_lineage, + # The self.config.include_view_lineage setting is about fetching upstreams of views. + # We always generate lineage pointing at views from tables, even if self.config.include_view_lineage is False. + # TODO: Remove this `include_view_lineage` flag, since it's effectively dead code. + include_view_lineage=True, include_column_lineage=self.config.include_column_lineage, ) try: - for db_row in self.query(query): + for db_row in self.connection.query(query): edge = self._process_upstream_lineage_row(db_row) if edge: yield edge @@ -409,10 +420,12 @@ def map_query_result_upstreams( upstream_name = self.get_dataset_identifier_from_qualified_name( upstream_table.upstream_object_name ) - if upstream_name and self._is_dataset_pattern_allowed( - upstream_name, - upstream_table.upstream_object_domain, - is_upstream=True, + if upstream_name and ( + not self.config.validate_upstreams_against_patterns + or self.is_dataset_pattern_allowed( + upstream_name, + upstream_table.upstream_object_domain, + ) ): upstreams.append(self.dataset_urn_builder(upstream_name)) except Exception as e: @@ -493,10 +506,12 @@ def build_finegrained_lineage_upstreams( if ( upstream_col.object_name and upstream_col.column_name - and self._is_dataset_pattern_allowed( - upstream_col.object_name, - upstream_col.object_domain, - is_upstream=True, + and ( + not self.config.validate_upstreams_against_patterns + or self.is_dataset_pattern_allowed( + upstream_col.object_name, + upstream_col.object_domain, + ) ) ): upstream_dataset_name = self.get_dataset_identifier_from_qualified_name( @@ -547,3 +562,6 @@ def _should_ingest_lineage(self) -> bool: def report_status(self, step: str, status: bool) -> None: if self.redundant_run_skip_handler: self.redundant_run_skip_handler.report_current_run_status(step, status) + + def close(self) -> None: + pass diff --git a/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_profiler.py b/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_profiler.py index 5e6ade29344eb0..4deeb9f96f48eb 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_profiler.py +++ b/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_profiler.py @@ -164,7 +164,7 @@ def callable_for_db_connection(self, db_name: str) -> Callable: schema_name = self.database_default_schema.get(db_name) def get_db_connection(): - conn = self.config.get_connection() + conn = self.config.get_native_connection() conn.cursor().execute(SnowflakeQuery.use_database(db_name)) # As mentioned here - https://docs.snowflake.com/en/sql-reference/sql/use-database#usage-notes diff --git a/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_queries.py b/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_queries.py new file mode 100644 index 00000000000000..c647a624a54673 --- /dev/null +++ b/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_queries.py @@ -0,0 +1,515 @@ +import functools +import json +import logging +import pathlib +import re +import tempfile +from dataclasses import dataclass +from datetime import datetime, timezone +from typing import Any, Dict, Iterable, List, Optional, Union + +import pydantic +from typing_extensions import Self + +from datahub.configuration.time_window_config import ( + BaseTimeWindowConfig, + BucketDuration, +) +from datahub.ingestion.api.common import PipelineContext +from datahub.ingestion.api.report import Report +from datahub.ingestion.api.source import Source, SourceReport +from datahub.ingestion.api.source_helpers import auto_workunit +from datahub.ingestion.api.workunit import MetadataWorkUnit +from datahub.ingestion.source.snowflake.constants import SnowflakeObjectDomain +from datahub.ingestion.source.snowflake.snowflake_config import ( + DEFAULT_TEMP_TABLES_PATTERNS, + SnowflakeFilterConfig, + SnowflakeIdentifierConfig, +) +from datahub.ingestion.source.snowflake.snowflake_connection import ( + SnowflakeConnection, + SnowflakeConnectionConfig, +) +from datahub.ingestion.source.snowflake.snowflake_query import SnowflakeQuery +from datahub.ingestion.source.snowflake.snowflake_utils import ( + SnowflakeFilterMixin, + SnowflakeIdentifierMixin, +) +from datahub.ingestion.source.usage.usage_common import BaseUsageConfig +from datahub.metadata.urns import CorpUserUrn +from datahub.sql_parsing.sql_parsing_aggregator import ( + KnownLineageMapping, + PreparsedQuery, + SqlAggregatorReport, + SqlParsingAggregator, +) +from datahub.sql_parsing.sql_parsing_common import QueryType +from datahub.sql_parsing.sqlglot_lineage import ( + ColumnLineageInfo, + ColumnRef, + DownstreamColumnRef, +) +from datahub.utilities.file_backed_collections import ConnectionWrapper, FileBackedList + +logger = logging.getLogger(__name__) + + +class SnowflakeQueriesExtractorConfig(SnowflakeIdentifierConfig, SnowflakeFilterConfig): + # TODO: Support stateful ingestion for the time windows. + window: BaseTimeWindowConfig = BaseTimeWindowConfig() + + # TODO: make this a proper allow/deny pattern + deny_usernames: List[str] = [] + + temporary_tables_pattern: List[str] = pydantic.Field( + default=DEFAULT_TEMP_TABLES_PATTERNS, + description="[Advanced] Regex patterns for temporary tables to filter in lineage ingestion. Specify regex to " + "match the entire table name in database.schema.table format. Defaults are to set in such a way " + "to ignore the temporary staging tables created by known ETL tools.", + ) + + local_temp_path: Optional[pathlib.Path] = pydantic.Field( + default=None, + description="Local path to store the audit log.", + # TODO: For now, this is simply an advanced config to make local testing easier. + # Eventually, we will want to store date-specific files in the directory and use it as a cache. + hidden_from_docs=True, + ) + + convert_urns_to_lowercase: bool = pydantic.Field( + # Override the default. + default=True, + description="Whether to convert dataset urns to lowercase.", + ) + + include_lineage: bool = True + include_queries: bool = True + include_usage_statistics: bool = True + include_query_usage_statistics: bool = False + include_operations: bool = True + + +class SnowflakeQueriesSourceConfig(SnowflakeQueriesExtractorConfig): + connection: SnowflakeConnectionConfig + + +@dataclass +class SnowflakeQueriesExtractorReport(Report): + window: Optional[BaseTimeWindowConfig] = None + + sql_aggregator: Optional[SqlAggregatorReport] = None + + +@dataclass +class SnowflakeQueriesSourceReport(SourceReport): + queries_extractor: Optional[SnowflakeQueriesExtractorReport] = None + + +class SnowflakeQueriesExtractor(SnowflakeFilterMixin, SnowflakeIdentifierMixin): + def __init__( + self, + connection: SnowflakeConnection, + config: SnowflakeQueriesExtractorConfig, + structured_report: SourceReport, + ): + self.connection = connection + + self.config = config + self.report = SnowflakeQueriesExtractorReport() + self._structured_report = structured_report + + self.aggregator = SqlParsingAggregator( + platform=self.platform, + platform_instance=self.config.platform_instance, + env=self.config.env, + # graph=self.ctx.graph, + generate_lineage=self.config.include_lineage, + generate_queries=self.config.include_queries, + generate_usage_statistics=self.config.include_usage_statistics, + generate_query_usage_statistics=self.config.include_query_usage_statistics, + usage_config=BaseUsageConfig( + bucket_duration=self.config.window.bucket_duration, + start_time=self.config.window.start_time, + end_time=self.config.window.end_time, + # TODO make the rest of the fields configurable + ), + generate_operations=self.config.include_operations, + is_temp_table=self.is_temp_table, + is_allowed_table=self.is_allowed_table, + format_queries=False, + ) + self.report.sql_aggregator = self.aggregator.report + + @property + def structured_reporter(self) -> SourceReport: + return self._structured_report + + @property + def filter_config(self) -> SnowflakeFilterConfig: + return self.config + + @property + def identifier_config(self) -> SnowflakeIdentifierConfig: + return self.config + + @functools.cached_property + def local_temp_path(self) -> pathlib.Path: + if self.config.local_temp_path: + assert self.config.local_temp_path.is_dir() + return self.config.local_temp_path + + path = pathlib.Path(tempfile.mkdtemp()) + path.mkdir(parents=True, exist_ok=True) + logger.info(f"Using local temp path: {path}") + return path + + def is_temp_table(self, name: str) -> bool: + return any( + re.match(pattern, name, flags=re.IGNORECASE) + for pattern in self.config.temporary_tables_pattern + ) + + def is_allowed_table(self, name: str) -> bool: + return self.is_dataset_pattern_allowed(name, SnowflakeObjectDomain.TABLE) + + def get_workunits_internal( + self, + ) -> Iterable[MetadataWorkUnit]: + self.report.window = self.config.window + + # TODO: Add some logic to check if the cached audit log is stale or not. + audit_log_file = self.local_temp_path / "audit_log.sqlite" + use_cached_audit_log = audit_log_file.exists() + + queries: FileBackedList[Union[KnownLineageMapping, PreparsedQuery]] + if use_cached_audit_log: + logger.info("Using cached audit log") + shared_connection = ConnectionWrapper(audit_log_file) + queries = FileBackedList(shared_connection) + else: + audit_log_file.unlink(missing_ok=True) + + shared_connection = ConnectionWrapper(audit_log_file) + queries = FileBackedList(shared_connection) + + logger.info("Fetching audit log") + for entry in self.fetch_audit_log(): + queries.append(entry) + + for query in queries: + self.aggregator.add(query) + + yield from auto_workunit(self.aggregator.gen_metadata()) + + def fetch_audit_log( + self, + ) -> Iterable[Union[KnownLineageMapping, PreparsedQuery]]: + """ + # TODO: we need to fetch this info from somewhere + discovered_tables = [] + + snowflake_lineage_v2 = SnowflakeLineageExtractor( + config=self.config, # type: ignore + report=self.report, # type: ignore + dataset_urn_builder=self.gen_dataset_urn, + redundant_run_skip_handler=None, + sql_aggregator=self.aggregator, # TODO this should be unused + ) + + for ( + known_lineage_mapping + ) in snowflake_lineage_v2._populate_external_lineage_from_copy_history( + discovered_tables=discovered_tables + ): + interim_results.append(known_lineage_mapping) + + for ( + known_lineage_mapping + ) in snowflake_lineage_v2._populate_external_lineage_from_show_query( + discovered_tables=discovered_tables + ): + interim_results.append(known_lineage_mapping) + """ + + audit_log_query = _build_enriched_audit_log_query( + start_time=self.config.window.start_time, + end_time=self.config.window.end_time, + bucket_duration=self.config.window.bucket_duration, + deny_usernames=self.config.deny_usernames, + ) + + resp = self.connection.query(audit_log_query) + + for i, row in enumerate(resp): + if i % 1000 == 0: + logger.info(f"Processed {i} audit log rows") + + assert isinstance(row, dict) + try: + entry = self._parse_audit_log_row(row) + except Exception as e: + self.structured_reporter.warning( + "Error parsing audit log row", + context=f"{row}", + exc=e, + ) + else: + yield entry + + def get_dataset_identifier_from_qualified_name(self, qualified_name: str) -> str: + # Copied from SnowflakeCommonMixin. + return self.snowflake_identifier(self.cleanup_qualified_name(qualified_name)) + + def _parse_audit_log_row(self, row: Dict[str, Any]) -> PreparsedQuery: + json_fields = { + "DIRECT_OBJECTS_ACCESSED", + "OBJECTS_MODIFIED", + } + + res = {} + for key, value in row.items(): + if key in json_fields and value: + value = json.loads(value) + key = key.lower() + res[key] = value + + direct_objects_accessed = res["direct_objects_accessed"] + objects_modified = res["objects_modified"] + + upstreams = [] + column_usage = {} + + for obj in direct_objects_accessed: + dataset = self.gen_dataset_urn( + self.get_dataset_identifier_from_qualified_name(obj["objectName"]) + ) + + columns = set() + for modified_column in obj["columns"]: + columns.add(self.snowflake_identifier(modified_column["columnName"])) + + upstreams.append(dataset) + column_usage[dataset] = columns + + downstream = None + column_lineage = None + for obj in objects_modified: + # We don't expect there to be more than one object modified. + if downstream: + self.structured_reporter.report_warning( + message="Unexpectedly got multiple downstream entities from the Snowflake audit log.", + context=f"{row}", + ) + + downstream = self.gen_dataset_urn( + self.get_dataset_identifier_from_qualified_name(obj["objectName"]) + ) + column_lineage = [] + for modified_column in obj["columns"]: + column_lineage.append( + ColumnLineageInfo( + downstream=DownstreamColumnRef( + dataset=downstream, + column=self.snowflake_identifier( + modified_column["columnName"] + ), + ), + upstreams=[ + ColumnRef( + table=self.gen_dataset_urn( + self.get_dataset_identifier_from_qualified_name( + upstream["objectName"] + ) + ), + column=self.snowflake_identifier( + upstream["columnName"] + ), + ) + for upstream in modified_column["directSources"] + if upstream["objectDomain"] + in SnowflakeQuery.ACCESS_HISTORY_TABLE_VIEW_DOMAINS + ], + ) + ) + + # TODO: Support filtering the table names. + # if objects_modified: + # breakpoint() + + # TODO implement email address mapping + user = CorpUserUrn(res["user_name"]) + + timestamp: datetime = res["query_start_time"] + timestamp = timestamp.astimezone(timezone.utc) + + # TODO need to map snowflake query types to ours + query_type = SNOWFLAKE_QUERY_TYPE_MAPPING.get( + res["query_type"], QueryType.UNKNOWN + ) + + entry = PreparsedQuery( + query_id=res["query_fingerprint"], + query_text=res["query_text"], + upstreams=upstreams, + downstream=downstream, + column_lineage=column_lineage, + column_usage=column_usage, + inferred_schema=None, + confidence_score=1, + query_count=res["query_count"], + user=user, + timestamp=timestamp, + session_id=res["session_id"], + query_type=query_type, + ) + return entry + + +class SnowflakeQueriesSource(Source): + def __init__(self, ctx: PipelineContext, config: SnowflakeQueriesSourceConfig): + self.ctx = ctx + self.config = config + self.report = SnowflakeQueriesSourceReport() + + self.platform = "snowflake" + + self.connection = self.config.connection.get_connection() + + self.queries_extractor = SnowflakeQueriesExtractor( + connection=self.connection, + config=self.config, + structured_report=self.report, + ) + self.report.queries_extractor = self.queries_extractor.report + + @classmethod + def create(cls, config_dict: dict, ctx: PipelineContext) -> Self: + config = SnowflakeQueriesSourceConfig.parse_obj(config_dict) + return cls(ctx, config) + + def get_workunits_internal(self) -> Iterable[MetadataWorkUnit]: + # TODO: Disable auto status processor? + return self.queries_extractor.get_workunits_internal() + + def get_report(self) -> SnowflakeQueriesSourceReport: + return self.report + + +# Make sure we don't try to generate too much info for a single query. +_MAX_TABLES_PER_QUERY = 20 + + +def _build_enriched_audit_log_query( + start_time: datetime, + end_time: datetime, + bucket_duration: BucketDuration, + deny_usernames: Optional[List[str]], +) -> str: + start_time_millis = int(start_time.timestamp() * 1000) + end_time_millis = int(end_time.timestamp() * 1000) + + users_filter = "" + if deny_usernames: + user_not_in = ",".join(f"'{user.upper()}'" for user in deny_usernames) + users_filter = f"user_name NOT IN ({user_not_in})" + + time_bucket_size = bucket_duration.value + assert time_bucket_size in ("HOUR", "DAY", "MONTH") + + return f"""\ +WITH +fingerprinted_queries as ( + SELECT *, + -- TODO: Generate better fingerprints for each query by pushing down regex logic. + query_history.query_parameterized_hash as query_fingerprint + FROM + snowflake.account_usage.query_history + WHERE + query_history.start_time >= to_timestamp_ltz({start_time_millis}, 3) + AND query_history.start_time < to_timestamp_ltz({end_time_millis}, 3) + AND execution_status = 'SUCCESS' + AND {users_filter or 'TRUE'} +) +, deduplicated_queries as ( + SELECT + *, + DATE_TRUNC( + {time_bucket_size}, + CONVERT_TIMEZONE('UTC', start_time) + ) AS bucket_start_time, + COUNT(*) OVER (PARTITION BY bucket_start_time, query_fingerprint) AS query_count, + FROM + fingerprinted_queries + QUALIFY + ROW_NUMBER() OVER (PARTITION BY bucket_start_time, query_fingerprint ORDER BY start_time DESC) = 1 +) +, raw_access_history AS ( + SELECT + query_id, + query_start_time, + user_name, + direct_objects_accessed, + objects_modified, + FROM + snowflake.account_usage.access_history + WHERE + query_start_time >= to_timestamp_ltz({start_time_millis}, 3) + AND query_start_time < to_timestamp_ltz({end_time_millis}, 3) + AND {users_filter or 'TRUE'} + AND query_id IN ( + SELECT query_id FROM deduplicated_queries + ) +) +, filtered_access_history AS ( + -- TODO: Add table filter clause. + SELECT + query_id, + query_start_time, + ARRAY_SLICE( + FILTER(direct_objects_accessed, o -> o:objectDomain IN {SnowflakeQuery.ACCESS_HISTORY_TABLE_VIEW_DOMAINS_FILTER}), + 0, {_MAX_TABLES_PER_QUERY} + ) as direct_objects_accessed, + -- TODO: Drop the columns.baseSources subfield. + FILTER(objects_modified, o -> o:objectDomain IN {SnowflakeQuery.ACCESS_HISTORY_TABLE_VIEW_DOMAINS_FILTER}) as objects_modified, + FROM raw_access_history + WHERE ( array_size(direct_objects_accessed) > 0 or array_size(objects_modified) > 0 ) +) +, query_access_history AS ( + SELECT + q.bucket_start_time, + q.query_id, + q.query_fingerprint, + q.query_count, + q.session_id AS "SESSION_ID", + q.start_time AS "QUERY_START_TIME", + q.total_elapsed_time AS "QUERY_DURATION", + q.query_text AS "QUERY_TEXT", + q.query_type AS "QUERY_TYPE", + q.database_name as "DEFAULT_DB", + q.schema_name as "DEFAULT_SCHEMA", + q.rows_inserted AS "ROWS_INSERTED", + q.rows_updated AS "ROWS_UPDATED", + q.rows_deleted AS "ROWS_DELETED", + q.user_name AS "USER_NAME", + q.role_name AS "ROLE_NAME", + a.direct_objects_accessed, + a.objects_modified, + FROM deduplicated_queries q + JOIN filtered_access_history a USING (query_id) +) +SELECT * FROM query_access_history +""" + + +SNOWFLAKE_QUERY_TYPE_MAPPING = { + "INSERT": QueryType.INSERT, + "UPDATE": QueryType.UPDATE, + "DELETE": QueryType.DELETE, + "CREATE": QueryType.CREATE_OTHER, + "CREATE_TABLE": QueryType.CREATE_DDL, + "CREATE_VIEW": QueryType.CREATE_VIEW, + "CREATE_TABLE_AS_SELECT": QueryType.CREATE_TABLE_AS_SELECT, + "MERGE": QueryType.MERGE, + "COPY": QueryType.UNKNOWN, + "TRUNCATE_TABLE": QueryType.UNKNOWN, +} diff --git a/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_query.py b/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_query.py index 9f655b34177fc6..a2e18a64d9a809 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_query.py +++ b/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_query.py @@ -3,7 +3,9 @@ from datahub.configuration.common import AllowDenyPattern from datahub.configuration.time_window_config import BucketDuration from datahub.ingestion.source.snowflake.constants import SnowflakeObjectDomain -from datahub.ingestion.source.snowflake.snowflake_config import DEFAULT_TABLES_DENY_LIST +from datahub.ingestion.source.snowflake.snowflake_config import ( + DEFAULT_TEMP_TABLES_PATTERNS, +) from datahub.utilities.prefix_batch_builder import PrefixGroup SHOW_VIEWS_MAX_PAGE_SIZE = 10000 @@ -28,13 +30,15 @@ def create_deny_regex_sql_filter( class SnowflakeQuery: - ACCESS_HISTORY_TABLE_VIEW_DOMAINS_FILTER = ( - "(" - f"'{SnowflakeObjectDomain.TABLE.capitalize()}'," - f"'{SnowflakeObjectDomain.EXTERNAL_TABLE.capitalize()}'," - f"'{SnowflakeObjectDomain.VIEW.capitalize()}'," - f"'{SnowflakeObjectDomain.MATERIALIZED_VIEW.capitalize()}'" - ")" + ACCESS_HISTORY_TABLE_VIEW_DOMAINS = { + SnowflakeObjectDomain.TABLE.capitalize(), + SnowflakeObjectDomain.EXTERNAL_TABLE.capitalize(), + SnowflakeObjectDomain.VIEW.capitalize(), + SnowflakeObjectDomain.MATERIALIZED_VIEW.capitalize(), + } + + ACCESS_HISTORY_TABLE_VIEW_DOMAINS_FILTER = "({})".format( + ",".join(f"'{domain}'" for domain in ACCESS_HISTORY_TABLE_VIEW_DOMAINS) ) ACCESS_HISTORY_TABLE_DOMAINS_FILTER = ( "(" @@ -356,7 +360,7 @@ def table_to_table_lineage_history_v2( end_time_millis: int, include_view_lineage: bool = True, include_column_lineage: bool = True, - upstreams_deny_pattern: List[str] = DEFAULT_TABLES_DENY_LIST, + upstreams_deny_pattern: List[str] = DEFAULT_TEMP_TABLES_PATTERNS, ) -> str: if include_column_lineage: return SnowflakeQuery.table_upstreams_with_column_lineage( @@ -407,7 +411,7 @@ def show_external_tables() -> str: def copy_lineage_history( start_time_millis: int, end_time_millis: int, - downstreams_deny_pattern: List[str] = DEFAULT_TABLES_DENY_LIST, + downstreams_deny_pattern: List[str] = DEFAULT_TEMP_TABLES_PATTERNS, ) -> str: temp_table_filter = create_deny_regex_sql_filter( downstreams_deny_pattern, @@ -450,7 +454,7 @@ def usage_per_object_per_time_bucket_for_time_window( include_top_n_queries: bool, email_domain: Optional[str], email_filter: AllowDenyPattern, - table_deny_pattern: List[str] = DEFAULT_TABLES_DENY_LIST, + table_deny_pattern: List[str] = DEFAULT_TEMP_TABLES_PATTERNS, ) -> str: if not include_top_n_queries: top_n_queries = 0 diff --git a/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_schema.py b/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_schema.py index 4bc684a22514c4..ce8f20d23aa6b1 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_schema.py +++ b/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_schema.py @@ -5,15 +5,13 @@ from datetime import datetime from typing import Callable, Dict, Iterable, List, MutableMapping, Optional -from snowflake.connector import SnowflakeConnection - from datahub.ingestion.api.report import SupportsAsObj from datahub.ingestion.source.snowflake.constants import SnowflakeObjectDomain +from datahub.ingestion.source.snowflake.snowflake_connection import SnowflakeConnection from datahub.ingestion.source.snowflake.snowflake_query import ( SHOW_VIEWS_MAX_PAGE_SIZE, SnowflakeQuery, ) -from datahub.ingestion.source.snowflake.snowflake_utils import SnowflakeQueryMixin from datahub.ingestion.source.sql.sql_generic import BaseColumn, BaseTable, BaseView from datahub.utilities.file_backed_collections import FileBackedDict from datahub.utilities.prefix_batch_builder import build_prefix_batches @@ -185,19 +183,12 @@ def get_column_tags_for_table( ) -class SnowflakeDataDictionary(SnowflakeQueryMixin, SupportsAsObj): - def __init__(self) -> None: +class SnowflakeDataDictionary(SupportsAsObj): + def __init__(self, connection: SnowflakeConnection) -> None: self.logger = logger - self.connection: Optional[SnowflakeConnection] = None - def set_connection(self, connection: SnowflakeConnection) -> None: self.connection = connection - def get_connection(self) -> SnowflakeConnection: - # Connection is already present by the time this is called - assert self.connection is not None - return self.connection - def as_obj(self) -> Dict[str, Dict[str, int]]: # TODO: Move this into a proper report type that gets computed. @@ -221,7 +212,7 @@ def as_obj(self) -> Dict[str, Dict[str, int]]: def show_databases(self) -> List[SnowflakeDatabase]: databases: List[SnowflakeDatabase] = [] - cur = self.query( + cur = self.connection.query( SnowflakeQuery.show_databases(), ) @@ -238,7 +229,7 @@ def show_databases(self) -> List[SnowflakeDatabase]: def get_databases(self, db_name: str) -> List[SnowflakeDatabase]: databases: List[SnowflakeDatabase] = [] - cur = self.query( + cur = self.connection.query( SnowflakeQuery.get_databases(db_name), ) @@ -256,7 +247,7 @@ def get_databases(self, db_name: str) -> List[SnowflakeDatabase]: def get_schemas_for_database(self, db_name: str) -> List[SnowflakeSchema]: snowflake_schemas = [] - cur = self.query( + cur = self.connection.query( SnowflakeQuery.schemas_for_database(db_name), ) @@ -276,7 +267,7 @@ def get_tables_for_database( ) -> Optional[Dict[str, List[SnowflakeTable]]]: tables: Dict[str, List[SnowflakeTable]] = {} try: - cur = self.query( + cur = self.connection.query( SnowflakeQuery.tables_for_database(db_name), ) except Exception as e: @@ -309,7 +300,7 @@ def get_tables_for_schema( ) -> List[SnowflakeTable]: tables: List[SnowflakeTable] = [] - cur = self.query( + cur = self.connection.query( SnowflakeQuery.tables_for_schema(schema_name, db_name), ) @@ -337,7 +328,7 @@ def get_views_for_database(self, db_name: str) -> Dict[str, List[SnowflakeView]] first_iteration = True view_pagination_marker: Optional[str] = None while first_iteration or view_pagination_marker is not None: - cur = self.query( + cur = self.connection.query( SnowflakeQuery.show_views_for_database( db_name, limit=page_limit, @@ -406,7 +397,7 @@ def get_columns_for_schema( schema_name, db_name, object_batch ) - cur = self.query(query) + cur = self.connection.query(query) for column in cur: if column["TABLE_NAME"] not in columns: @@ -430,7 +421,7 @@ def get_pk_constraints_for_schema( self, schema_name: str, db_name: str ) -> Dict[str, SnowflakePK]: constraints: Dict[str, SnowflakePK] = {} - cur = self.query( + cur = self.connection.query( SnowflakeQuery.show_primary_keys_for_schema(schema_name, db_name), ) @@ -449,7 +440,7 @@ def get_fk_constraints_for_schema( constraints: Dict[str, List[SnowflakeFK]] = {} fk_constraints_map: Dict[str, SnowflakeFK] = {} - cur = self.query( + cur = self.connection.query( SnowflakeQuery.show_foreign_keys_for_schema(schema_name, db_name), ) @@ -481,7 +472,7 @@ def get_tags_for_database_without_propagation( self, db_name: str, ) -> _SnowflakeTagCache: - cur = self.query( + cur = self.connection.query( SnowflakeQuery.get_all_tags_in_database_without_propagation(db_name) ) @@ -536,7 +527,7 @@ def get_tags_for_object_with_propagation( ) -> List[SnowflakeTag]: tags: List[SnowflakeTag] = [] - cur = self.query( + cur = self.connection.query( SnowflakeQuery.get_all_tags_on_object_with_propagation( db_name, quoted_identifier, domain ), @@ -557,7 +548,7 @@ def get_tags_on_columns_for_table( self, quoted_table_name: str, db_name: str ) -> Dict[str, List[SnowflakeTag]]: tags: Dict[str, List[SnowflakeTag]] = defaultdict(list) - cur = self.query( + cur = self.connection.query( SnowflakeQuery.get_tags_on_columns_with_propagation( db_name, quoted_table_name ), diff --git a/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_schema_gen.py b/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_schema_gen.py index b6f16cd671b8d3..e604ed96b8eb6b 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_schema_gen.py +++ b/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_schema_gen.py @@ -2,9 +2,7 @@ import itertools import logging import queue -from typing import Dict, Iterable, List, Optional, Union - -from snowflake.connector import SnowflakeConnection +from typing import Callable, Dict, Iterable, List, Optional, Union from datahub.configuration.pattern_utils import is_schema_allowed from datahub.emitter.mce_builder import ( @@ -14,6 +12,7 @@ make_tag_urn, ) from datahub.emitter.mcp import MetadataChangeProposalWrapper +from datahub.ingestion.api.source import SourceReport from datahub.ingestion.api.workunit import MetadataWorkUnit from datahub.ingestion.glossary.classification_mixin import ( ClassificationHandler, @@ -29,9 +28,15 @@ SnowflakeObjectDomain, ) from datahub.ingestion.source.snowflake.snowflake_config import ( + SnowflakeFilterConfig, + SnowflakeIdentifierConfig, SnowflakeV2Config, TagOption, ) +from datahub.ingestion.source.snowflake.snowflake_connection import ( + SnowflakeConnection, + SnowflakePermissionError, +) from datahub.ingestion.source.snowflake.snowflake_data_reader import SnowflakeDataReader from datahub.ingestion.source.snowflake.snowflake_profiler import SnowflakeProfiler from datahub.ingestion.source.snowflake.snowflake_report import SnowflakeV2Report @@ -49,11 +54,9 @@ ) from datahub.ingestion.source.snowflake.snowflake_tag import SnowflakeTagExtractor from datahub.ingestion.source.snowflake.snowflake_utils import ( - SnowflakeCommonMixin, - SnowflakeCommonProtocol, - SnowflakeConnectionMixin, - SnowflakePermissionError, - SnowflakeQueryMixin, + SnowflakeFilterMixin, + SnowflakeIdentifierMixin, + SnowsightUrlBuilder, ) from datahub.ingestion.source.sql.sql_utils import ( add_table_to_schema_container, @@ -140,29 +143,26 @@ } -class SnowflakeSchemaGenerator( - SnowflakeQueryMixin, - SnowflakeConnectionMixin, - SnowflakeCommonMixin, - SnowflakeCommonProtocol, -): +class SnowflakeSchemaGenerator(SnowflakeFilterMixin, SnowflakeIdentifierMixin): def __init__( self, config: SnowflakeV2Config, report: SnowflakeV2Report, connection: SnowflakeConnection, + dataset_urn_builder: Callable[[str], str], domain_registry: Optional[DomainRegistry], profiler: Optional[SnowflakeProfiler], aggregator: Optional[SqlParsingAggregator], - snowsight_base_url: Optional[str], + snowsight_url_builder: Optional[SnowsightUrlBuilder], ) -> None: self.config: SnowflakeV2Config = config self.report: SnowflakeV2Report = report self.connection: SnowflakeConnection = connection - self.logger = logger + self.dataset_urn_builder = dataset_urn_builder - self.data_dictionary: SnowflakeDataDictionary = SnowflakeDataDictionary() - self.data_dictionary.set_connection(self.connection) + self.data_dictionary: SnowflakeDataDictionary = SnowflakeDataDictionary( + connection=self.connection + ) self.report.data_dictionary_cache = self.data_dictionary self.domain_registry: Optional[DomainRegistry] = domain_registry @@ -171,7 +171,9 @@ def __init__( config, self.data_dictionary, self.report ) self.profiler: Optional[SnowflakeProfiler] = profiler - self.snowsight_base_url: Optional[str] = snowsight_base_url + self.snowsight_url_builder: Optional[ + SnowsightUrlBuilder + ] = snowsight_url_builder # These are populated as side-effects of get_workunits_internal. self.databases: List[SnowflakeDatabase] = [] @@ -180,11 +182,23 @@ def __init__( def get_connection(self) -> SnowflakeConnection: return self.connection + @property + def structured_reporter(self) -> SourceReport: + return self.report + + @property + def filter_config(self) -> SnowflakeFilterConfig: + return self.config + + @property + def identifier_config(self) -> SnowflakeIdentifierConfig: + return self.config + def get_workunits_internal(self) -> Iterable[MetadataWorkUnit]: self.databases = [] for database in self.get_databases() or []: self.report.report_entity_scanned(database.name, "database") - if not self.config.database_pattern.allowed(database.name): + if not self.filter_config.database_pattern.allowed(database.name): self.report.report_dropped(f"{database.name}.*") else: self.databases.append(database) @@ -348,10 +362,10 @@ def fetch_schemas_for_database( for schema in self.data_dictionary.get_schemas_for_database(db_name): self.report.report_entity_scanned(schema.name, "schema") if not is_schema_allowed( - self.config.schema_pattern, + self.filter_config.schema_pattern, schema.name, db_name, - self.config.match_fully_qualified_names, + self.filter_config.match_fully_qualified_names, ): self.report.report_dropped(f"{db_name}.{schema.name}.*") else: @@ -432,7 +446,7 @@ def _process_schema( ) if view.view_definition: self.aggregator.add_view_definition( - view_urn=self.gen_dataset_urn(view_identifier), + view_urn=self.dataset_urn_builder(view_identifier), view_definition=view.view_definition, default_db=db_name, default_schema=schema_name, @@ -462,7 +476,7 @@ def fetch_views_for_schema( self.report.report_entity_scanned(view_name, "view") - if not self.config.view_pattern.allowed(view_name): + if not self.filter_config.view_pattern.allowed(view_name): self.report.report_dropped(view_name) else: views.append(view) @@ -495,7 +509,7 @@ def fetch_tables_for_schema( table.name, schema_name, db_name ) self.report.report_entity_scanned(table_identifier) - if not self.config.table_pattern.allowed(table_identifier): + if not self.filter_config.table_pattern.allowed(table_identifier): self.report.report_dropped(table_identifier) else: tables.append(table) @@ -664,7 +678,7 @@ def gen_dataset_workunits( yield from self._process_tag(tag) dataset_name = self.get_dataset_identifier(table.name, schema_name, db_name) - dataset_urn = self.gen_dataset_urn(dataset_name) + dataset_urn = self.dataset_urn_builder(dataset_name) status = Status(removed=False) yield MetadataChangeProposalWrapper( @@ -762,17 +776,13 @@ def get_dataset_properties( lastModified=( TimeStamp(time=int(table.last_altered.timestamp() * 1000)) if table.last_altered is not None - else ( - TimeStamp(time=int(table.created.timestamp() * 1000)) - if table.created is not None - else None - ) + else None ), description=table.comment, qualifiedName=f"{db_name}.{schema_name}.{table.name}", customProperties={}, externalUrl=( - self.get_external_url_for_table( + self.snowsight_url_builder.get_external_url_for_table( table.name, schema_name, db_name, @@ -782,7 +792,7 @@ def get_dataset_properties( else SnowflakeObjectDomain.VIEW ), ) - if self.config.include_external_url + if self.snowsight_url_builder else None ), ) @@ -806,7 +816,7 @@ def gen_schema_metadata( db_name: str, ) -> SchemaMetadata: dataset_name = self.get_dataset_identifier(table.name, schema_name, db_name) - dataset_urn = self.gen_dataset_urn(dataset_name) + dataset_urn = self.dataset_urn_builder(dataset_name) foreign_keys: Optional[List[ForeignKeyConstraint]] = None if isinstance(table, SnowflakeTable) and len(table.foreign_keys) > 0: @@ -911,8 +921,8 @@ def gen_database_containers( domain_registry=self.domain_registry, domain_config=self.config.domain, external_url=( - self.get_external_url_for_database(database.name) - if self.config.include_external_url + self.snowsight_url_builder.get_external_url_for_database(database.name) + if self.snowsight_url_builder else None ), description=database.comment, @@ -967,8 +977,10 @@ def gen_schema_containers( domain_registry=self.domain_registry, description=schema.comment, external_url=( - self.get_external_url_for_schema(schema.name, db_name) - if self.config.include_external_url + self.snowsight_url_builder.get_external_url_for_schema( + schema.name, db_name + ) + if self.snowsight_url_builder else None ), created=( @@ -979,11 +991,7 @@ def gen_schema_containers( last_modified=( int(schema.last_altered.timestamp() * 1000) if schema.last_altered is not None - else ( - int(schema.created.timestamp() * 1000) - if schema.created is not None - else None - ) + else None ), tags=( [self.snowflake_identifier(tag.identifier()) for tag in schema.tags] @@ -1048,23 +1056,3 @@ def get_fk_constraints_for_table( # Access to table but none of its constraints - is this possible ? return constraints.get(table_name, []) - - # domain is either "view" or "table" - def get_external_url_for_table( - self, table_name: str, schema_name: str, db_name: str, domain: str - ) -> Optional[str]: - if self.snowsight_base_url is not None: - return f"{self.snowsight_base_url}#/data/databases/{db_name}/schemas/{schema_name}/{domain}/{table_name}/" - return None - - def get_external_url_for_schema( - self, schema_name: str, db_name: str - ) -> Optional[str]: - if self.snowsight_base_url is not None: - return f"{self.snowsight_base_url}#/data/databases/{db_name}/schemas/{schema_name}/" - return None - - def get_external_url_for_database(self, db_name: str) -> Optional[str]: - if self.snowsight_base_url is not None: - return f"{self.snowsight_base_url}#/data/databases/{db_name}/" - return None diff --git a/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_summary.py b/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_summary.py index cd6f17092e810a..f78ae70291f8a7 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_summary.py +++ b/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_summary.py @@ -3,57 +3,31 @@ from collections import defaultdict from typing import Dict, Iterable, List, Optional -import pydantic -from snowflake.connector import SnowflakeConnection - -from datahub.configuration.common import AllowDenyPattern from datahub.configuration.source_common import LowerCaseDatasetUrnConfigMixin from datahub.configuration.time_window_config import BaseTimeWindowConfig from datahub.ingestion.api.common import PipelineContext from datahub.ingestion.api.decorators import SupportStatus, config_class, support_status from datahub.ingestion.api.source import Source, SourceReport from datahub.ingestion.api.workunit import MetadataWorkUnit -from datahub.ingestion.source.snowflake.snowflake_schema import ( - SnowflakeDatabase, - SnowflakeDataDictionary, +from datahub.ingestion.source.snowflake.snowflake_config import SnowflakeFilterConfig +from datahub.ingestion.source.snowflake.snowflake_connection import ( + SnowflakeConnectionConfig, ) +from datahub.ingestion.source.snowflake.snowflake_schema import SnowflakeDatabase from datahub.ingestion.source.snowflake.snowflake_schema_gen import ( SnowflakeSchemaGenerator, ) -from datahub.ingestion.source.snowflake.snowflake_utils import ( - SnowflakeCommonMixin, - SnowflakeConnectionMixin, - SnowflakeQueryMixin, -) -from datahub.ingestion.source_config.sql.snowflake import BaseSnowflakeConfig from datahub.ingestion.source_report.time_window import BaseTimeWindowReport from datahub.utilities.lossy_collections import LossyList class SnowflakeSummaryConfig( - BaseSnowflakeConfig, BaseTimeWindowConfig, LowerCaseDatasetUrnConfigMixin + SnowflakeFilterConfig, + SnowflakeConnectionConfig, + BaseTimeWindowConfig, + LowerCaseDatasetUrnConfigMixin, ): - - # Copied from SnowflakeConfig. - database_pattern: AllowDenyPattern = AllowDenyPattern( - deny=[r"^UTIL_DB$", r"^SNOWFLAKE$", r"^SNOWFLAKE_SAMPLE_DATA$"] - ) - schema_pattern: AllowDenyPattern = pydantic.Field( - default=AllowDenyPattern.allow_all(), - description="Regex patterns for schemas to filter in ingestion. Specify regex to only match the schema name. e.g. to match all tables in schema analytics, use the regex 'analytics'", - ) - table_pattern: AllowDenyPattern = pydantic.Field( - default=AllowDenyPattern.allow_all(), - description="Regex patterns for tables to filter in ingestion. Specify regex to match the entire table name in database.schema.table format. e.g. to match all tables starting with customer in Customer database and public schema, use the regex 'Customer.public.customer.*'", - ) - view_pattern: AllowDenyPattern = pydantic.Field( - default=AllowDenyPattern.allow_all(), - description="Regex patterns for views to filter in ingestion. Note: Defaults to table_pattern if not specified. Specify regex to match the entire view name in database.schema.view format. e.g. to match all views starting with customer in Customer database and public schema, use the regex 'Customer.public.customer.*'", - ) - match_fully_qualified_names: bool = pydantic.Field( - default=True, - description="Whether `schema_pattern` is matched against fully qualified schema name `.`.", - ) + pass @dataclasses.dataclass @@ -80,37 +54,31 @@ def report_entity_scanned(self, name: str, ent_type: str = "table") -> None: @config_class(SnowflakeSummaryConfig) @support_status(SupportStatus.INCUBATING) -class SnowflakeSummarySource( - SnowflakeQueryMixin, - SnowflakeConnectionMixin, - SnowflakeCommonMixin, - Source, -): +class SnowflakeSummarySource(Source): def __init__(self, ctx: PipelineContext, config: SnowflakeSummaryConfig): super().__init__(ctx) self.config: SnowflakeSummaryConfig = config self.report: SnowflakeSummaryReport = SnowflakeSummaryReport() - - self.data_dictionary = SnowflakeDataDictionary() - self.connection: Optional[SnowflakeConnection] = None self.logger = logging.getLogger(__name__) - def create_connection(self) -> Optional[SnowflakeConnection]: - # TODO: Eventually we'll want to use the implementation from SnowflakeConnectionMixin, - # since it has better error reporting. - # return super().create_connection() - return self.config.get_connection() + self.connection = self.config.get_connection() def get_workunits_internal(self) -> Iterable[MetadataWorkUnit]: - self.connection = self.create_connection() - if self.connection is None: - return - - self.data_dictionary.set_connection(self.connection) + schema_generator = SnowflakeSchemaGenerator( + # This is a hack, but we just hope that the config / report have all the fields we need. + config=self.config, # type: ignore + report=self.report, # type: ignore + connection=self.connection, + dataset_urn_builder=lambda x: "", + domain_registry=None, + profiler=None, + aggregator=None, + snowsight_url_builder=None, + ) # Databases. databases: List[SnowflakeDatabase] = [] - for database in self.get_databases() or []: # type: ignore + for database in schema_generator.get_databases() or []: # TODO: Support database_patterns. if not self.config.database_pattern.allowed(database.name): self.report.report_dropped(f"{database.name}.*") @@ -119,16 +87,16 @@ def get_workunits_internal(self) -> Iterable[MetadataWorkUnit]: # Schemas. for database in databases: - self.fetch_schemas_for_database(database, database.name) # type: ignore + schema_generator.fetch_schemas_for_database(database, database.name) self.report.schema_counters[database.name] = len(database.schemas) for schema in database.schemas: # Tables/views. - tables = self.fetch_tables_for_schema( # type: ignore + tables = schema_generator.fetch_tables_for_schema( schema, database.name, schema.name ) - views = self.fetch_views_for_schema( # type: ignore + views = schema_generator.fetch_views_for_schema( schema, database.name, schema.name ) @@ -139,7 +107,7 @@ def get_workunits_internal(self) -> Iterable[MetadataWorkUnit]: # Queries for usage. start_time_millis = self.config.start_time.timestamp() * 1000 end_time_millis = self.config.end_time.timestamp() * 1000 - for row in self.query( + for row in self.connection.query( f"""\ SELECT COUNT(*) AS CNT FROM snowflake.account_usage.query_history @@ -150,7 +118,7 @@ def get_workunits_internal(self) -> Iterable[MetadataWorkUnit]: self.report.num_snowflake_queries = row["CNT"] # Queries for lineage/operations. - for row in self.query( + for row in self.connection.query( f"""\ SELECT COUNT(*) AS CNT FROM @@ -166,16 +134,5 @@ def get_workunits_internal(self) -> Iterable[MetadataWorkUnit]: # This source doesn't produce any metadata itself. All important information goes into the report. yield from [] - # This is a bit of a hack, but lets us reuse the code from the main ingestion source. - # Mypy doesn't really know how to deal with it though, which is why we have all these - # type ignore comments. - get_databases = SnowflakeSchemaGenerator.get_databases - get_databases_from_ischema = SnowflakeSchemaGenerator.get_databases_from_ischema - fetch_schemas_for_database = SnowflakeSchemaGenerator.fetch_schemas_for_database - fetch_tables_for_schema = SnowflakeSchemaGenerator.fetch_tables_for_schema - fetch_views_for_schema = SnowflakeSchemaGenerator.fetch_views_for_schema - get_tables_for_schema = SnowflakeSchemaGenerator.get_tables_for_schema - get_views_for_schema = SnowflakeSchemaGenerator.get_views_for_schema - def get_report(self) -> SnowflakeSummaryReport: return self.report diff --git a/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_usage_v2.py b/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_usage_v2.py index e8b56a01944ad2..c5e0994059f2e4 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_usage_v2.py +++ b/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_usage_v2.py @@ -5,23 +5,22 @@ from typing import Any, Callable, Dict, Iterable, List, Optional, Tuple import pydantic -from snowflake.connector import SnowflakeConnection from datahub.configuration.time_window_config import BaseTimeWindowConfig from datahub.emitter.mce_builder import make_user_urn from datahub.emitter.mcp import MetadataChangeProposalWrapper +from datahub.ingestion.api.closeable import Closeable from datahub.ingestion.api.source_helpers import auto_empty_dataset_usage_statistics from datahub.ingestion.api.workunit import MetadataWorkUnit from datahub.ingestion.source.snowflake.constants import SnowflakeEdition from datahub.ingestion.source.snowflake.snowflake_config import SnowflakeV2Config -from datahub.ingestion.source.snowflake.snowflake_query import SnowflakeQuery -from datahub.ingestion.source.snowflake.snowflake_report import SnowflakeV2Report -from datahub.ingestion.source.snowflake.snowflake_utils import ( - SnowflakeCommonMixin, - SnowflakeConnectionMixin, +from datahub.ingestion.source.snowflake.snowflake_connection import ( + SnowflakeConnection, SnowflakePermissionError, - SnowflakeQueryMixin, ) +from datahub.ingestion.source.snowflake.snowflake_query import SnowflakeQuery +from datahub.ingestion.source.snowflake.snowflake_report import SnowflakeV2Report +from datahub.ingestion.source.snowflake.snowflake_utils import SnowflakeCommonMixin from datahub.ingestion.source.state.redundant_run_skip_handler import ( RedundantUsageRunSkipHandler, ) @@ -107,13 +106,12 @@ class SnowflakeJoinedAccessEvent(PermissiveModel): role_name: str -class SnowflakeUsageExtractor( - SnowflakeQueryMixin, SnowflakeConnectionMixin, SnowflakeCommonMixin -): +class SnowflakeUsageExtractor(SnowflakeCommonMixin, Closeable): def __init__( self, config: SnowflakeV2Config, report: SnowflakeV2Report, + connection: SnowflakeConnection, dataset_urn_builder: Callable[[str], str], redundant_run_skip_handler: Optional[RedundantUsageRunSkipHandler], ) -> None: @@ -121,7 +119,7 @@ def __init__( self.report: SnowflakeV2Report = report self.dataset_urn_builder = dataset_urn_builder self.logger = logger - self.connection: Optional[SnowflakeConnection] = None + self.connection = connection self.redundant_run_skip_handler = redundant_run_skip_handler self.start_time, self.end_time = ( @@ -144,11 +142,6 @@ def get_usage_workunits( return self.report.set_ingestion_stage("*", USAGE_EXTRACTION_USAGE_AGGREGATION) - - self.connection = self.create_connection() - if self.connection is None: - return - if self.report.edition == SnowflakeEdition.STANDARD.value: logger.info( "Snowflake Account is Standard Edition. Usage and Operation History Feature is not supported." @@ -207,7 +200,7 @@ def _get_workunits_internal( with PerfTimer() as timer: logger.info("Getting aggregated usage statistics") try: - results = self.query( + results = self.connection.query( SnowflakeQuery.usage_per_object_per_time_bucket_for_time_window( start_time_millis=int(self.start_time.timestamp() * 1000), end_time_millis=int(self.end_time.timestamp() * 1000), @@ -239,7 +232,7 @@ def _get_workunits_internal( logger.debug(f"Processing usage row number {results.rownumber}") logger.debug(self.report.usage_aggregation.as_string()) - if not self._is_dataset_pattern_allowed( + if not self.is_dataset_pattern_allowed( row["OBJECT_NAME"], row["OBJECT_DOMAIN"], ): @@ -293,7 +286,7 @@ def build_usage_statistics_for_dataset( f"Failed to parse usage statistics for dataset {dataset_identifier} due to error {e}.", exc_info=e, ) - self.report_warning( + self.report.warning( "Failed to parse usage statistics for dataset", dataset_identifier ) @@ -376,7 +369,8 @@ def _get_snowflake_history(self) -> Iterable[SnowflakeJoinedAccessEvent]: with PerfTimer() as timer: query = self._make_operations_query() try: - results = self.query(query) + assert self.connection is not None + results = self.connection.query(query) except Exception as e: logger.debug(e, exc_info=e) self.warn_if_stateful_else_error( @@ -398,7 +392,10 @@ def _make_operations_query(self) -> str: def _check_usage_date_ranges(self) -> None: with PerfTimer() as timer: try: - results = self.query(SnowflakeQuery.get_access_history_date_range()) + assert self.connection is not None + results = self.connection.query( + SnowflakeQuery.get_access_history_date_range() + ) except Exception as e: if isinstance(e, SnowflakePermissionError): error_msg = "Failed to get usage. Please grant imported privileges on SNOWFLAKE database. " @@ -407,7 +404,7 @@ def _check_usage_date_ranges(self) -> None: ) else: logger.debug(e, exc_info=e) - self.report_warning( + self.report.warning( "usage", f"Extracting the date range for usage data from Snowflake failed due to error {e}.", ) @@ -419,7 +416,7 @@ def _check_usage_date_ranges(self) -> None: or db_row["MIN_TIME"] is None or db_row["MAX_TIME"] is None ): - self.report_warning( + self.report.warning( "check-usage-data", f"Missing data for access_history {db_row}.", ) @@ -505,7 +502,7 @@ def _process_snowflake_history_row( yield event except Exception as e: self.report.rows_parsing_error += 1 - self.report_warning( + self.report.warning( "operation", f"Failed to parse operation history row {event_dict}, {e}", ) @@ -564,7 +561,7 @@ def _is_unsupported_object_accessed(self, obj: Dict[str, Any]) -> bool: def _is_object_valid(self, obj: Dict[str, Any]) -> bool: if self._is_unsupported_object_accessed( obj - ) or not self._is_dataset_pattern_allowed( + ) or not self.is_dataset_pattern_allowed( obj.get("objectName"), obj.get("objectDomain") ): return False @@ -590,3 +587,6 @@ def _should_ingest_usage(self) -> bool: def report_status(self, step: str, status: bool) -> None: if self.redundant_run_skip_handler: self.redundant_run_skip_handler.report_current_run_status(step, status) + + def close(self) -> None: + pass diff --git a/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_utils.py b/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_utils.py index 5d4cc38469f7ce..c33fbb3d0bfc80 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_utils.py +++ b/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_utils.py @@ -1,54 +1,41 @@ -import logging -from typing import Any, Optional +import abc +from typing import ClassVar, Literal, Optional, Tuple -from snowflake.connector import SnowflakeConnection -from snowflake.connector.cursor import DictCursor from typing_extensions import Protocol -from datahub.configuration.common import MetaError from datahub.configuration.pattern_utils import is_schema_allowed from datahub.emitter.mce_builder import make_dataset_urn_with_platform_instance +from datahub.ingestion.api.source import SourceReport from datahub.ingestion.source.snowflake.constants import ( - GENERIC_PERMISSION_ERROR_KEY, SNOWFLAKE_REGION_CLOUD_REGION_MAPPING, SnowflakeCloudProvider, SnowflakeObjectDomain, ) -from datahub.ingestion.source.snowflake.snowflake_config import SnowflakeV2Config +from datahub.ingestion.source.snowflake.snowflake_config import ( + SnowflakeFilterConfig, + SnowflakeIdentifierConfig, + SnowflakeV2Config, +) from datahub.ingestion.source.snowflake.snowflake_report import SnowflakeV2Report -logger: logging.Logger = logging.getLogger(__name__) - - -class SnowflakePermissionError(MetaError): - """A permission error has happened""" - - -# Required only for mypy, since we are using mixin classes, and not inheritance. -# Reference - https://mypy.readthedocs.io/en/latest/more_types.html#mixin-classes -class SnowflakeLoggingProtocol(Protocol): - logger: logging.Logger - -class SnowflakeQueryProtocol(SnowflakeLoggingProtocol, Protocol): - def get_connection(self) -> SnowflakeConnection: +class SnowflakeStructuredReportMixin(abc.ABC): + @property + @abc.abstractmethod + def structured_reporter(self) -> SourceReport: ... + # TODO: Eventually I want to deprecate these methods and use the structured_reporter directly. + def report_warning(self, key: str, reason: str) -> None: + self.structured_reporter.warning(key, reason) -class SnowflakeQueryMixin: - def query(self: SnowflakeQueryProtocol, query: str) -> Any: - try: - self.logger.info(f"Query : {query}", stacklevel=2) - resp = self.get_connection().cursor(DictCursor).execute(query) - return resp - - except Exception as e: - if is_permission_error(e): - raise SnowflakePermissionError(e) from e - raise + def report_error(self, key: str, reason: str) -> None: + self.structured_reporter.failure(key, reason) -class SnowflakeCommonProtocol(SnowflakeLoggingProtocol, Protocol): +# Required only for mypy, since we are using mixin classes, and not inheritance. +# Reference - https://mypy.readthedocs.io/en/latest/more_types.html#mixin-classes +class SnowflakeCommonProtocol(Protocol): platform: str = "snowflake" config: SnowflakeV2Config @@ -59,6 +46,9 @@ def get_dataset_identifier( ) -> str: ... + def cleanup_qualified_name(self, qualified_name: str) -> str: + ... + def get_dataset_identifier_from_qualified_name(self, qualified_name: str) -> str: ... @@ -72,10 +62,8 @@ def report_error(self, key: str, reason: str) -> None: ... -class SnowflakeCommonMixin: - platform = "snowflake" - - CLOUD_REGION_IDS_WITHOUT_CLOUD_SUFFIX = [ +class SnowsightUrlBuilder: + CLOUD_REGION_IDS_WITHOUT_CLOUD_SUFFIX: ClassVar = [ "us-west-2", "us-east-1", "eu-west-1", @@ -84,13 +72,21 @@ class SnowflakeCommonMixin: "ap-southeast-2", ] + snowsight_base_url: str + + def __init__(self, account_locator: str, region: str, privatelink: bool = False): + cloud, cloud_region_id = self.get_cloud_region_from_snowflake_region_id(region) + self.snowsight_base_url = self.create_snowsight_base_url( + account_locator, cloud_region_id, cloud, privatelink + ) + @staticmethod def create_snowsight_base_url( account_locator: str, cloud_region_id: str, cloud: str, privatelink: bool = False, - ) -> Optional[str]: + ) -> str: if cloud: url_cloud_provider_suffix = f".{cloud}" @@ -99,7 +95,7 @@ def create_snowsight_base_url( # https://docs.snowflake.com/en/user-guide/admin-account-identifier#non-vps-account-locator-formats-by-cloud-platform-and-region if ( cloud_region_id - in SnowflakeCommonMixin.CLOUD_REGION_IDS_WITHOUT_CLOUD_SUFFIX + in SnowsightUrlBuilder.CLOUD_REGION_IDS_WITHOUT_CLOUD_SUFFIX ): url_cloud_provider_suffix = "" else: @@ -111,7 +107,10 @@ def create_snowsight_base_url( return url @staticmethod - def get_cloud_region_from_snowflake_region_id(region): + def get_cloud_region_from_snowflake_region_id( + region: str, + ) -> Tuple[str, str]: + cloud: str if region in SNOWFLAKE_REGION_CLOUD_REGION_MAPPING.keys(): cloud, cloud_region_id = SNOWFLAKE_REGION_CLOUD_REGION_MAPPING[region] elif region.startswith(("aws_", "gcp_", "azure_")): @@ -122,14 +121,42 @@ def get_cloud_region_from_snowflake_region_id(region): raise Exception(f"Unknown snowflake region {region}") return cloud, cloud_region_id - def _is_dataset_pattern_allowed( - self: SnowflakeCommonProtocol, + # domain is either "view" or "table" + def get_external_url_for_table( + self, + table_name: str, + schema_name: str, + db_name: str, + domain: Literal[SnowflakeObjectDomain.TABLE, SnowflakeObjectDomain.VIEW], + ) -> Optional[str]: + return f"{self.snowsight_base_url}#/data/databases/{db_name}/schemas/{schema_name}/{domain}/{table_name}/" + + def get_external_url_for_schema( + self, schema_name: str, db_name: str + ) -> Optional[str]: + return f"{self.snowsight_base_url}#/data/databases/{db_name}/schemas/{schema_name}/" + + def get_external_url_for_database(self, db_name: str) -> Optional[str]: + return f"{self.snowsight_base_url}#/data/databases/{db_name}/" + + +class SnowflakeFilterMixin(SnowflakeStructuredReportMixin): + @property + @abc.abstractmethod + def filter_config(self) -> SnowflakeFilterConfig: + ... + + @staticmethod + def _combine_identifier_parts( + table_name: str, schema_name: str, db_name: str + ) -> str: + return f"{db_name}.{schema_name}.{table_name}" + + def is_dataset_pattern_allowed( + self, dataset_name: Optional[str], dataset_type: Optional[str], - is_upstream: bool = False, ) -> bool: - if is_upstream and not self.config.validate_upstreams_against_patterns: - return True if not dataset_type or not dataset_name: return True dataset_params = dataset_name.split(".") @@ -148,47 +175,101 @@ def _is_dataset_pattern_allowed( # NOTE: this case returned `True` earlier when extracting lineage return False - if not self.config.database_pattern.allowed( + if not self.filter_config.database_pattern.allowed( dataset_params[0].strip('"') ) or not is_schema_allowed( - self.config.schema_pattern, + self.filter_config.schema_pattern, dataset_params[1].strip('"'), dataset_params[0].strip('"'), - self.config.match_fully_qualified_names, + self.filter_config.match_fully_qualified_names, ): return False if dataset_type.lower() in { SnowflakeObjectDomain.TABLE - } and not self.config.table_pattern.allowed( - self.get_dataset_identifier_from_qualified_name(dataset_name) + } and not self.filter_config.table_pattern.allowed( + self.cleanup_qualified_name(dataset_name) ): return False if dataset_type.lower() in { - "view", - "materialized_view", - } and not self.config.view_pattern.allowed( - self.get_dataset_identifier_from_qualified_name(dataset_name) + SnowflakeObjectDomain.VIEW, + SnowflakeObjectDomain.MATERIALIZED_VIEW, + } and not self.filter_config.view_pattern.allowed( + self.cleanup_qualified_name(dataset_name) ): return False return True - def snowflake_identifier(self: SnowflakeCommonProtocol, identifier: str) -> str: + # Qualified Object names from snowflake audit logs have quotes for for snowflake quoted identifiers, + # For example "test-database"."test-schema".test_table + # whereas we generate urns without quotes even for quoted identifiers for backward compatibility + # and also unavailability of utility function to identify whether current table/schema/database + # name should be quoted in above method get_dataset_identifier + def cleanup_qualified_name(self, qualified_name: str) -> str: + name_parts = qualified_name.split(".") + if len(name_parts) != 3: + self.structured_reporter.report_warning( + title="Unexpected dataset pattern", + message="We failed to parse a Snowflake qualified name into its constituent parts. " + "DB/schema/table filtering may not work as expected on these entities.", + context=f"{qualified_name} has {len(name_parts)} parts", + ) + return qualified_name.replace('"', "") + return SnowflakeFilterMixin._combine_identifier_parts( + table_name=name_parts[2].strip('"'), + schema_name=name_parts[1].strip('"'), + db_name=name_parts[0].strip('"'), + ) + + +class SnowflakeIdentifierMixin(abc.ABC): + platform = "snowflake" + + @property + @abc.abstractmethod + def identifier_config(self) -> SnowflakeIdentifierConfig: + ... + + def snowflake_identifier(self, identifier: str) -> str: # to be in in sync with older connector, convert name to lowercase - if self.config.convert_urns_to_lowercase: + if self.identifier_config.convert_urns_to_lowercase: return identifier.lower() return identifier - def gen_dataset_urn(self: SnowflakeCommonProtocol, dataset_identifier: str) -> str: + def get_dataset_identifier( + self, table_name: str, schema_name: str, db_name: str + ) -> str: + return self.snowflake_identifier( + SnowflakeCommonMixin._combine_identifier_parts( + table_name=table_name, schema_name=schema_name, db_name=db_name + ) + ) + + def gen_dataset_urn(self, dataset_identifier: str) -> str: return make_dataset_urn_with_platform_instance( platform=self.platform, name=dataset_identifier, - platform_instance=self.config.platform_instance, - env=self.config.env, + platform_instance=self.identifier_config.platform_instance, + env=self.identifier_config.env, ) + +# TODO: We're most of the way there on fully removing SnowflakeCommonProtocol. +class SnowflakeCommonMixin(SnowflakeFilterMixin, SnowflakeIdentifierMixin): + @property + def structured_reporter(self: SnowflakeCommonProtocol) -> SourceReport: + return self.report + + @property + def filter_config(self: SnowflakeCommonProtocol) -> SnowflakeFilterConfig: + return self.config + + @property + def identifier_config(self: SnowflakeCommonProtocol) -> SnowflakeIdentifierConfig: + return self.config + @staticmethod def get_quoted_identifier_for_database(db_name): return f'"{db_name}"' @@ -197,34 +278,13 @@ def get_quoted_identifier_for_database(db_name): def get_quoted_identifier_for_schema(db_name, schema_name): return f'"{db_name}"."{schema_name}"' + def get_dataset_identifier_from_qualified_name(self, qualified_name: str) -> str: + return self.snowflake_identifier(self.cleanup_qualified_name(qualified_name)) + @staticmethod def get_quoted_identifier_for_table(db_name, schema_name, table_name): return f'"{db_name}"."{schema_name}"."{table_name}"' - def get_dataset_identifier( - self: SnowflakeCommonProtocol, table_name: str, schema_name: str, db_name: str - ) -> str: - return self.snowflake_identifier(f"{db_name}.{schema_name}.{table_name}") - - # Qualified Object names from snowflake audit logs have quotes for for snowflake quoted identifiers, - # For example "test-database"."test-schema".test_table - # whereas we generate urns without quotes even for quoted identifiers for backward compatibility - # and also unavailability of utility function to identify whether current table/schema/database - # name should be quoted in above method get_dataset_identifier - def get_dataset_identifier_from_qualified_name( - self: SnowflakeCommonProtocol, qualified_name: str - ) -> str: - name_parts = qualified_name.split(".") - if len(name_parts) != 3: - self.report.report_warning( - "invalid-dataset-pattern", - f"Found non-parseable {name_parts} for {qualified_name}", - ) - return self.snowflake_identifier(qualified_name.replace('"', "")) - return self.get_dataset_identifier( - name_parts[2].strip('"'), name_parts[1].strip('"'), name_parts[0].strip('"') - ) - # Note - decide how to construct user urns. # Historically urns were created using part before @ from user's email. # Users without email were skipped from both user entries as well as aggregates. @@ -255,70 +315,3 @@ def warn_if_stateful_else_error( self.report_warning(key, reason) else: self.report_error(key, reason) - - def report_warning(self: SnowflakeCommonProtocol, key: str, reason: str) -> None: - self.report.report_warning(key, reason) - self.logger.warning(f"{key} => {reason}") - - def report_error(self: SnowflakeCommonProtocol, key: str, reason: str) -> None: - self.report.report_failure(key, reason) - self.logger.error(f"{key} => {reason}") - - -class SnowflakeConnectionProtocol(SnowflakeLoggingProtocol, Protocol): - connection: Optional[SnowflakeConnection] - config: SnowflakeV2Config - report: SnowflakeV2Report - - def create_connection(self) -> Optional[SnowflakeConnection]: - ... - - def report_error(self, key: str, reason: str) -> None: - ... - - -class SnowflakeConnectionMixin: - def get_connection(self: SnowflakeConnectionProtocol) -> SnowflakeConnection: - if self.connection is None: - # Ideally this is never called here - self.logger.info("Did you forget to initialize connection for module?") - self.connection = self.create_connection() - - # Connection is already present by the time its used for query - # Every module initializes the connection or fails and returns - assert self.connection is not None - return self.connection - - # If connection succeeds, return connection, else return None and report failure - def create_connection( - self: SnowflakeConnectionProtocol, - ) -> Optional[SnowflakeConnection]: - try: - conn = self.config.get_connection() - except Exception as e: - logger.debug(e, exc_info=e) - if "not granted to this user" in str(e): - self.report_error( - GENERIC_PERMISSION_ERROR_KEY, - f"Failed to connect with snowflake due to error {e}", - ) - else: - logger.debug(e, exc_info=e) - self.report_error( - "snowflake-connection", - f"Failed to connect to snowflake instance due to error {e}.", - ) - return None - else: - return conn - - def close(self: SnowflakeConnectionProtocol) -> None: - if self.connection is not None and not self.connection.is_closed(): - self.connection.close() - - -def is_permission_error(e: Exception) -> bool: - msg = str(e) - # 002003 (02000): SQL compilation error: Database/SCHEMA 'XXXX' does not exist or not authorized. - # Insufficient privileges to operate on database 'XXXX' - return "Insufficient privileges" in msg or "not authorized" in msg diff --git a/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_v2.py b/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_v2.py index f39620b79cfd43..d8eda98da422b9 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_v2.py +++ b/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_v2.py @@ -7,8 +7,6 @@ from dataclasses import dataclass from typing import Dict, Iterable, List, Optional, Union -from snowflake.connector import SnowflakeConnection - from datahub.ingestion.api.common import PipelineContext from datahub.ingestion.api.decorators import ( SupportStatus, @@ -36,6 +34,10 @@ SnowflakeAssertionsHandler, ) from datahub.ingestion.source.snowflake.snowflake_config import SnowflakeV2Config +from datahub.ingestion.source.snowflake.snowflake_connection import ( + SnowflakeConnection, + SnowflakeConnectionConfig, +) from datahub.ingestion.source.snowflake.snowflake_lineage_v2 import ( SnowflakeLineageExtractor, ) @@ -54,8 +56,7 @@ ) from datahub.ingestion.source.snowflake.snowflake_utils import ( SnowflakeCommonMixin, - SnowflakeConnectionMixin, - SnowflakeQueryMixin, + SnowsightUrlBuilder, ) from datahub.ingestion.source.state.profiling_state_handler import ProfilingHandler from datahub.ingestion.source.state.redundant_run_skip_handler import ( @@ -68,7 +69,6 @@ from datahub.ingestion.source.state.stateful_ingestion_base import ( StatefulIngestionSourceBase, ) -from datahub.ingestion.source_config.sql.snowflake import BaseSnowflakeConfig from datahub.ingestion.source_report.ingestion_stage import ( LINEAGE_EXTRACTION, METADATA_EXTRACTION, @@ -119,8 +119,6 @@ supported=True, ) class SnowflakeV2Source( - SnowflakeQueryMixin, - SnowflakeConnectionMixin, SnowflakeCommonMixin, StatefulIngestionSourceBase, TestableSource, @@ -130,7 +128,8 @@ def __init__(self, ctx: PipelineContext, config: SnowflakeV2Config): self.config: SnowflakeV2Config = config self.report: SnowflakeV2Report = SnowflakeV2Report() self.logger = logger - self.connection: Optional[SnowflakeConnection] = None + + self.connection = self.config.get_connection() self.domain_registry: Optional[DomainRegistry] = None if self.config.domain: @@ -139,7 +138,7 @@ def __init__(self, ctx: PipelineContext, config: SnowflakeV2Config): ) # For database, schema, tables, views, etc - self.data_dictionary = SnowflakeDataDictionary() + self.data_dictionary = SnowflakeDataDictionary(connection=self.connection) self.lineage_extractor: Optional[SnowflakeLineageExtractor] = None self.aggregator: Optional[SqlParsingAggregator] = None @@ -180,6 +179,7 @@ def __init__(self, ctx: PipelineContext, config: SnowflakeV2Config): self.lineage_extractor = SnowflakeLineageExtractor( config, self.report, + connection=self.connection, dataset_urn_builder=self.gen_dataset_urn, redundant_run_skip_handler=redundant_lineage_run_skip_handler, sql_aggregator=self.aggregator, @@ -200,6 +200,7 @@ def __init__(self, ctx: PipelineContext, config: SnowflakeV2Config): self.usage_extractor = SnowflakeUsageExtractor( config, self.report, + connection=self.connection, dataset_urn_builder=self.gen_dataset_urn, redundant_run_skip_handler=redundant_usage_run_skip_handler, ) @@ -232,7 +233,9 @@ def test_connection(config_dict: dict) -> TestConnectionReport: test_report = TestConnectionReport() try: - connection_conf = BaseSnowflakeConfig.parse_obj_allow_extras(config_dict) + connection_conf = SnowflakeConnectionConfig.parse_obj_allow_extras( + config_dict + ) connection: SnowflakeConnection = connection_conf.get_connection() assert connection @@ -258,7 +261,7 @@ def test_connection(config_dict: dict) -> TestConnectionReport: @staticmethod def check_capabilities( - conn: SnowflakeConnection, connection_conf: BaseSnowflakeConfig + conn: SnowflakeConnection, connection_conf: SnowflakeConnectionConfig ) -> Dict[Union[SourceCapability, str], CapabilityReport]: # Currently only overall capabilities are reported. # Resource level variations in capabilities are not considered. @@ -269,19 +272,14 @@ class SnowflakePrivilege: object_name: str object_type: str - def query(query): - logger.info(f"Query : {query}") - resp = conn.cursor().execute(query) - return resp - _report: Dict[Union[SourceCapability, str], CapabilityReport] = dict() privileges: List[SnowflakePrivilege] = [] capabilities: List[SourceCapability] = [c.capability for c in SnowflakeV2Source.get_capabilities() if c.capability not in (SourceCapability.PLATFORM_INSTANCE, SourceCapability.DOMAINS, SourceCapability.DELETION_DETECTION)] # type: ignore - cur = query("select current_role()") + cur = conn.query("select current_role()") current_role = [row[0] for row in cur][0] - cur = query("select current_secondary_roles()") + cur = conn.query("select current_secondary_roles()") secondary_roles_str = json.loads([row[0] for row in cur][0])["roles"] secondary_roles = ( [] if secondary_roles_str == "" else secondary_roles_str.split(",") @@ -298,7 +296,7 @@ def query(query): role = roles[i] i = i + 1 # for some roles, quoting is necessary. for example test-role - cur = query(f'show grants to role "{role}"') + cur = conn.query(f'show grants to role "{role}"') for row in cur: privilege = SnowflakePrivilege( privilege=row[1], object_type=row[2], object_name=row[3] @@ -363,7 +361,7 @@ def query(query): ): roles.append(privilege.object_name) - cur = query("select current_warehouse()") + cur = conn.query("select current_warehouse()") current_warehouse = [row[0] for row in cur][0] default_failure_messages = { @@ -425,15 +423,15 @@ def get_workunit_processors(self) -> List[Optional[MetadataWorkUnitProcessor]]: def get_workunits_internal(self) -> Iterable[MetadataWorkUnit]: self._snowflake_clear_ocsp_cache() - self.connection = self.create_connection() + self.connection = self.config.get_connection() if self.connection is None: return - self.inspect_session_metadata() + self.inspect_session_metadata(self.connection) - snowsight_base_url = None + snowsight_url_builder = None if self.config.include_external_url: - snowsight_base_url = self.get_snowsight_base_url() + snowsight_url_builder = self.get_snowsight_url_builder() if self.report.default_warehouse is None: self.report_warehouse_failure() @@ -446,7 +444,8 @@ def get_workunits_internal(self) -> Iterable[MetadataWorkUnit]: domain_registry=self.domain_registry, profiler=self.profiler, aggregator=self.aggregator, - snowsight_base_url=snowsight_base_url, + snowsight_url_builder=snowsight_url_builder, + dataset_urn_builder=self.gen_dataset_urn, ) self.report.set_ingestion_stage("*", METADATA_EXTRACTION) @@ -499,7 +498,7 @@ def get_workunits_internal(self) -> Iterable[MetadataWorkUnit]: if self.config.include_assertion_results: yield from SnowflakeAssertionsHandler( - self.config, self.report, self.gen_dataset_urn + self.config, self.report, self.connection ).get_assertion_workunits(discovered_datasets) def report_warehouse_failure(self) -> None: @@ -536,22 +535,22 @@ def add_config_to_report(self) -> None: self.config.end_time, ) - def inspect_session_metadata(self) -> None: + def inspect_session_metadata(self, connection: SnowflakeConnection) -> None: try: logger.info("Checking current version") - for db_row in self.query(SnowflakeQuery.current_version()): + for db_row in connection.query(SnowflakeQuery.current_version()): self.report.saas_version = db_row["CURRENT_VERSION()"] except Exception as e: self.report_error("version", f"Error: {e}") try: logger.info("Checking current role") - for db_row in self.query(SnowflakeQuery.current_role()): + for db_row in connection.query(SnowflakeQuery.current_role()): self.report.role = db_row["CURRENT_ROLE()"] except Exception as e: self.report_error("version", f"Error: {e}") try: logger.info("Checking current warehouse") - for db_row in self.query(SnowflakeQuery.current_warehouse()): + for db_row in connection.query(SnowflakeQuery.current_warehouse()): self.report.default_warehouse = db_row["CURRENT_WAREHOUSE()"] except Exception as e: self.report_error("current_warehouse", f"Error: {e}") @@ -565,13 +564,13 @@ def inspect_session_metadata(self) -> None: except Exception: self.report.edition = None - def get_snowsight_base_url(self) -> Optional[str]: + def get_snowsight_url_builder(self) -> Optional[SnowsightUrlBuilder]: try: # See https://docs.snowflake.com/en/user-guide/admin-account-identifier.html#finding-the-region-and-locator-for-an-account - for db_row in self.query(SnowflakeQuery.current_account()): + for db_row in self.connection.query(SnowflakeQuery.current_account()): account_locator = db_row["CURRENT_ACCOUNT()"] - for db_row in self.query(SnowflakeQuery.current_region()): + for db_row in self.connection.query(SnowflakeQuery.current_region()): region = db_row["CURRENT_REGION()"] self.report.account_locator = account_locator @@ -581,30 +580,25 @@ def get_snowsight_base_url(self) -> Optional[str]: region = region.split(".")[-1].lower() account_locator = account_locator.lower() - cloud, cloud_region_id = self.get_cloud_region_from_snowflake_region_id( - region - ) - - # For privatelink, account identifier ends with .privatelink - # See https://docs.snowflake.com/en/user-guide/organizations-connect.html#private-connectivity-urls - return self.create_snowsight_base_url( + return SnowsightUrlBuilder( account_locator, - cloud_region_id, - cloud, - self.config.account_id.endswith(".privatelink"), # type:ignore + region, + # For privatelink, account identifier ends with .privatelink + # See https://docs.snowflake.com/en/user-guide/organizations-connect.html#private-connectivity-urls + privatelink=self.config.account_id.endswith(".privatelink"), ) except Exception as e: - self.warn( - self.logger, - "snowsight url", - f"unable to get snowsight base url due to an error -> {e}", + self.report.warning( + title="External URL Generation Failed", + message="We were unable to infer the Snowsight base URL for your Snowflake account. External URLs will not be generated.", + exc=e, ) return None def is_standard_edition(self) -> bool: try: - self.query(SnowflakeQuery.show_tags()) + self.connection.query(SnowflakeQuery.show_tags()) return False except Exception as e: if "Unsupported feature 'TAG'" in str(e): diff --git a/metadata-ingestion/src/datahub/ingestion/source/sql/sql_common.py b/metadata-ingestion/src/datahub/ingestion/source/sql/sql_common.py index cd54ab774418e6..2527ca6bc76c1a 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/sql/sql_common.py +++ b/metadata-ingestion/src/datahub/ingestion/source/sql/sql_common.py @@ -129,8 +129,6 @@ logger: logging.Logger = logging.getLogger(__name__) -MISSING_COLUMN_INFO = "missing column information" - @dataclass class SQLSourceReport(StaleEntityRemovalSourceReport, ClassificationReportMixin): @@ -921,7 +919,7 @@ def _get_columns( try: columns = inspector.get_columns(table, schema) if len(columns) == 0: - self.warn(logger, MISSING_COLUMN_INFO, dataset_name) + self.warn(logger, "missing column information", dataset_name) except Exception as e: self.warn( logger, @@ -1258,13 +1256,6 @@ def loop_profiler_requests( logger.debug(f"{dataset_name} has already been seen, skipping...") continue - missing_column_info_warn = self.report.warnings.get(MISSING_COLUMN_INFO) - if ( - missing_column_info_warn is not None - and dataset_name in missing_column_info_warn - ): - continue - (partition, custom_sql) = self.generate_partition_profiler_query( schema, table, self.config.profiling.partition_datetime ) diff --git a/metadata-ingestion/src/datahub/ingestion/source/sql/sql_config.py b/metadata-ingestion/src/datahub/ingestion/source/sql/sql_config.py index dd7592f6a8a5e3..93c7025aeee4ea 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/sql/sql_config.py +++ b/metadata-ingestion/src/datahub/ingestion/source/sql/sql_config.py @@ -8,8 +8,9 @@ from datahub.configuration.common import AllowDenyPattern, ConfigModel from datahub.configuration.source_common import ( - DatasetSourceConfigMixin, + EnvConfigMixin, LowerCaseDatasetUrnConfigMixin, + PlatformInstanceConfigMixin, ) from datahub.configuration.validate_field_removal import pydantic_removed_field from datahub.ingestion.api.incremental_lineage_helper import ( @@ -30,17 +31,7 @@ logger: logging.Logger = logging.getLogger(__name__) -class SQLCommonConfig( - StatefulIngestionConfigBase, - DatasetSourceConfigMixin, - LowerCaseDatasetUrnConfigMixin, - IncrementalLineageConfigMixin, - ClassificationSourceConfigMixin, -): - options: dict = pydantic.Field( - default_factory=dict, - description="Any options specified here will be passed to [SQLAlchemy.create_engine](https://docs.sqlalchemy.org/en/14/core/engines.html#sqlalchemy.create_engine) as kwargs.", - ) +class SQLFilterConfig(ConfigModel): # Although the 'table_pattern' enables you to skip everything from certain schemas, # having another option to allow/deny on schema level is an optimization for the case when there is a large number # of schemas that one wants to skip and you want to avoid the time to needlessly fetch those tables only to filter @@ -57,6 +48,32 @@ class SQLCommonConfig( default=AllowDenyPattern.allow_all(), description="Regex patterns for views to filter in ingestion. Note: Defaults to table_pattern if not specified. Specify regex to match the entire view name in database.schema.view format. e.g. to match all views starting with customer in Customer database and public schema, use the regex 'Customer.public.customer.*'", ) + + @pydantic.root_validator(pre=True) + def view_pattern_is_table_pattern_unless_specified( + cls, values: Dict[str, Any] + ) -> Dict[str, Any]: + view_pattern = values.get("view_pattern") + table_pattern = values.get("table_pattern") + if table_pattern and not view_pattern: + logger.info(f"Applying table_pattern {table_pattern} to view_pattern.") + values["view_pattern"] = table_pattern + return values + + +class SQLCommonConfig( + StatefulIngestionConfigBase, + PlatformInstanceConfigMixin, + EnvConfigMixin, + LowerCaseDatasetUrnConfigMixin, + IncrementalLineageConfigMixin, + ClassificationSourceConfigMixin, + SQLFilterConfig, +): + options: dict = pydantic.Field( + default_factory=dict, + description="Any options specified here will be passed to [SQLAlchemy.create_engine](https://docs.sqlalchemy.org/en/14/core/engines.html#sqlalchemy.create_engine) as kwargs.", + ) profile_pattern: AllowDenyPattern = Field( default=AllowDenyPattern.allow_all(), description="Regex patterns to filter tables (or specific columns) for profiling during ingestion. Note that only tables allowed by the `table_pattern` will be considered.", @@ -103,17 +120,6 @@ def is_profiling_enabled(self) -> bool: self.profiling.operation_config ) - @pydantic.root_validator(pre=True) - def view_pattern_is_table_pattern_unless_specified( - cls, values: Dict[str, Any] - ) -> Dict[str, Any]: - view_pattern = values.get("view_pattern") - table_pattern = values.get("table_pattern") - if table_pattern and not view_pattern: - logger.info(f"Applying table_pattern {table_pattern} to view_pattern.") - values["view_pattern"] = table_pattern - return values - @pydantic.root_validator(skip_on_failure=True) def ensure_profiling_pattern_is_passed_to_profiling( cls, values: Dict[str, Any] diff --git a/metadata-ingestion/src/datahub/ingestion/source/sql/vertica.py b/metadata-ingestion/src/datahub/ingestion/source/sql/vertica.py index 5b1a815e178b18..ae56fb87ee5281 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/sql/vertica.py +++ b/metadata-ingestion/src/datahub/ingestion/source/sql/vertica.py @@ -52,7 +52,6 @@ if TYPE_CHECKING: from datahub.ingestion.source.ge_data_profiler import GEProfilerRequest -MISSING_COLUMN_INFO = "missing column information" logger: logging.Logger = logging.getLogger(__name__) @@ -542,12 +541,7 @@ def loop_profiler_requests( else: logger.debug(f"{dataset_name} has already been seen, skipping...") continue - missing_column_info_warn = self.report.warnings.get(MISSING_COLUMN_INFO) - if ( - missing_column_info_warn is not None - and dataset_name in missing_column_info_warn - ): - continue + (partition, custom_sql) = self.generate_partition_profiler_query( schema, projection, self.config.profiling.partition_datetime ) diff --git a/metadata-ingestion/src/datahub/ingestion/source/superset.py b/metadata-ingestion/src/datahub/ingestion/source/superset.py index 9559b8e84b85da..dd2dc3301d80ea 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/superset.py +++ b/metadata-ingestion/src/datahub/ingestion/source/superset.py @@ -273,11 +273,9 @@ def construct_dashboard_from_api_data(self, dashboard_data): dp.parse(dashboard_data.get("changed_on_utc", "now")).timestamp() * 1000 ) title = dashboard_data.get("dashboard_title", "") - # note: the API does not currently supply created_by usernames due to a bug, but we are required to - # provide a created AuditStamp to comply with ChangeAuditStamp model. For now, I sub in the last - # modified actor urn + # note: the API does not currently supply created_by usernames due to a bug last_modified = ChangeAuditStamps( - created=AuditStamp(time=modified_ts, actor=modified_actor), + created=None, lastModified=AuditStamp(time=modified_ts, actor=modified_actor), ) dashboard_url = f"{self.config.display_uri}{dashboard_data.get('url', '')}" @@ -380,11 +378,9 @@ def construct_chart_from_chart_data(self, chart_data): ) title = chart_data.get("slice_name", "") - # note: the API does not currently supply created_by usernames due to a bug, but we are required to - # provide a created AuditStamp to comply with ChangeAuditStamp model. For now, I sub in the last - # modified actor urn + # note: the API does not currently supply created_by usernames due to a bug last_modified = ChangeAuditStamps( - created=AuditStamp(time=modified_ts, actor=modified_actor), + created=None, lastModified=AuditStamp(time=modified_ts, actor=modified_actor), ) chart_type = chart_type_from_viz_type.get(chart_data.get("viz_type", "")) diff --git a/metadata-ingestion/src/datahub/ingestion/source/tableau.py b/metadata-ingestion/src/datahub/ingestion/source/tableau.py index c19d48c3dc4ac3..b14a4a8586c7d8 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/tableau.py +++ b/metadata-ingestion/src/datahub/ingestion/source/tableau.py @@ -1,5 +1,6 @@ import logging import re +from collections import OrderedDict from dataclasses import dataclass from datetime import datetime from functools import lru_cache @@ -15,7 +16,7 @@ Union, cast, ) -from urllib.parse import urlparse +from urllib.parse import quote, urlparse import dateutil.parser as dp import tableauserverclient as TSC @@ -26,6 +27,7 @@ PersonalAccessTokenAuth, Server, ServerResponseError, + SiteItem, TableauAuth, ) from tableauserverclient.server.endpoint.exceptions import NonXMLResponseError @@ -205,24 +207,31 @@ class TableauConnectionConfig(ConfigModel): def remove_trailing_slash(cls, v): return config_clean.remove_trailing_slashes(v) - def make_tableau_client(self) -> Server: + def get_tableau_auth( + self, site: str + ) -> Union[TableauAuth, PersonalAccessTokenAuth]: # https://tableau.github.io/server-client-python/docs/api-ref#authentication authentication: Union[TableauAuth, PersonalAccessTokenAuth] if self.username and self.password: authentication = TableauAuth( username=self.username, password=self.password, - site_id=self.site, + site_id=site, ) elif self.token_name and self.token_value: authentication = PersonalAccessTokenAuth( - self.token_name, self.token_value, self.site + self.token_name, self.token_value, site ) else: raise ConfigurationError( "Tableau Source: Either username/password or token_name/token_value must be set" ) + return authentication + def make_tableau_client(self, site: str) -> Server: + authentication: Union[ + TableauAuth, PersonalAccessTokenAuth + ] = self.get_tableau_auth(site) try: server = Server( self.connect_uri, @@ -397,6 +406,25 @@ class TableauConfig( "(allows to workaround ingestion errors when pre ingested schema and queries are out of sync)", ) + ingest_multiple_sites: bool = Field( + False, + description="When enabled, ingests multiple sites the user has access to. If the user doesn't have access to the default site, specify an initial site to query in the site property. By default all sites the user has access to will be ingested. You can filter sites with the site_name_pattern property. This flag is currently only supported for Tableau Server. Tableau Cloud is not supported.", + ) + + site_name_pattern: AllowDenyPattern = Field( + default=AllowDenyPattern.allow_all(), + description="Filter for specific Tableau sites. " + "By default, all sites will be included in the ingestion. " + "You can both allow and deny sites based on their name using their name, or a Regex pattern. " + "Deny patterns always take precedence over allow patterns. " + "This property is currently only supported for Tableau Server. Tableau Cloud is not supported. ", + ) + + add_site_container: bool = Field( + False, + description="When enabled, sites are added as containers and therefore visible in the folder structure within Datahub.", + ) + # pre = True because we want to take some decision before pydantic initialize the configuration to default values @root_validator(pre=True) def projects_backward_compatibility(cls, values: Dict) -> Dict: @@ -425,6 +453,10 @@ class ProjectKey(ContainerKey): project_id: str +class SiteKey(ContainerKey): + site_id: str + + @dataclass class UsageStat: view_count: int @@ -534,42 +566,29 @@ def __init__( ctx: PipelineContext, ): super().__init__(config, ctx) - self.config: TableauConfig = config self.report: TableauSourceReport = TableauSourceReport() self.server: Optional[Server] = None - self.database_tables: Dict[str, DatabaseTable] = {} - self.tableau_stat_registry: Dict[str, UsageStat] = {} - self.tableau_project_registry: Dict[str, TableauProject] = {} - self.workbook_project_map: Dict[str, str] = {} - self.datasource_project_map: Dict[str, str] = {} - - # This map keeps track of the database server connection hostnames. - self.database_server_hostname_map: Dict[str, str] = {} - # This list keeps track of sheets in workbooks so that we retrieve those - # when emitting sheets. - self.sheet_ids: List[str] = [] - # This list keeps track of dashboards in workbooks so that we retrieve those - # when emitting dashboards. - self.dashboard_ids: List[str] = [] - # This list keeps track of embedded datasources in workbooks so that we retrieve those - # when emitting embedded data sources. - self.embedded_datasource_ids_being_used: List[str] = [] - # This list keeps track of datasource being actively used by workbooks so that we only retrieve those - # when emitting published data sources. - self.datasource_ids_being_used: List[str] = [] - # This list keeps track of datasource being actively used by workbooks so that we only retrieve those - # when emitting custom SQL data sources. - self.custom_sql_ids_being_used: List[str] = [] + self._authenticate(self.config.site) - self._authenticate() + def _authenticate(self, site_content_url: str) -> None: + try: + logger.info(f"Authenticated to Tableau site: '{site_content_url}'") + self.server = self.config.make_tableau_client(site_content_url) + # Note that we're not catching ConfigurationError, since we want that to throw. + except ValueError as e: + self.report.failure( + title="Tableau Login Error", + message="Failed to authenticate with Tableau.", + exc=e, + ) @staticmethod def test_connection(config_dict: dict) -> TestConnectionReport: test_report = TestConnectionReport() try: source_config = TableauConfig.parse_obj_allow_extras(config_dict) - source_config.make_tableau_client() + source_config.make_tableau_client(source_config.site) test_report.basic_connectivity = CapabilityReport(capable=True) except Exception as e: test_report.basic_connectivity = CapabilityReport( @@ -577,6 +596,65 @@ def test_connection(config_dict: dict) -> TestConnectionReport: ) return test_report + def get_report(self) -> TableauSourceReport: + return self.report + + @classmethod + def create(cls, config_dict: dict, ctx: PipelineContext) -> Source: + config = TableauConfig.parse_obj(config_dict) + return cls(config, ctx) + + def get_workunit_processors(self) -> List[Optional[MetadataWorkUnitProcessor]]: + return [ + *super().get_workunit_processors(), + StaleEntityRemovalHandler.create( + self, self.config, self.ctx + ).workunit_processor, + ] + + def get_workunits_internal(self) -> Iterable[MetadataWorkUnit]: + if self.server is None or not self.server.is_signed_in(): + return + try: + if self.config.ingest_multiple_sites: + for site in list(TSC.Pager(self.server.sites)): + if ( + site.state != "Active" + or not self.config.site_name_pattern.allowed(site.name) + ): + logger.info( + f"Skip site '{site.name}' as it's excluded in site_name_pattern or inactive." + ) + continue + self.server.auth.switch_site(site) + site_source = TableauSiteSource( + config=self.config, + ctx=self.ctx, + site=site, + report=self.report, + server=self.server, + platform=self.platform, + ) + logger.info(f"Ingesting assets of site '{site.content_url}'.") + yield from site_source.ingest_tableau_site() + else: + site = self.server.sites.get_by_id(self.server.site_id) + site_source = TableauSiteSource( + config=self.config, + ctx=self.ctx, + site=site, + report=self.report, + server=self.server, + platform=self.platform, + ) + yield from site_source.ingest_tableau_site() + except MetadataQueryException as md_exception: + self.report.failure( + title="Failed to Retrieve Tableau Metadata", + message="Unable to retrieve metadata from tableau.", + context=str(md_exception), + ) + def close(self) -> None: try: if self.server is not None: @@ -590,6 +668,48 @@ def close(self) -> None: self.server = None super().close() + +class TableauSiteSource: + def __init__( + self, + config: TableauConfig, + ctx: PipelineContext, + site: SiteItem, + report: TableauSourceReport, + server: Server, + platform: str, + ): + self.config: TableauConfig = config + self.report = report + self.server: Server = server + self.ctx: PipelineContext = ctx + self.site: SiteItem = site + self.platform = platform + + self.database_tables: Dict[str, DatabaseTable] = {} + self.tableau_stat_registry: Dict[str, UsageStat] = {} + self.tableau_project_registry: Dict[str, TableauProject] = {} + self.workbook_project_map: Dict[str, str] = {} + self.datasource_project_map: Dict[str, str] = {} + + # This map keeps track of the database server connection hostnames. + self.database_server_hostname_map: Dict[str, str] = {} + # This list keeps track of sheets in workbooks so that we retrieve those + # when emitting sheets. + self.sheet_ids: List[str] = [] + # This list keeps track of dashboards in workbooks so that we retrieve those + # when emitting dashboards. + self.dashboard_ids: List[str] = [] + # This list keeps track of embedded datasources in workbooks so that we retrieve those + # when emitting embedded data sources. + self.embedded_datasource_ids_being_used: List[str] = [] + # This list keeps track of datasource being actively used by workbooks so that we only retrieve those + # when emitting published data sources. + self.datasource_ids_being_used: List[str] = [] + # This list keeps track of datasource being actively used by workbooks so that we only retrieve those + # when emitting custom SQL data sources. + self.custom_sql_ids_being_used: List[str] = [] + @property def no_env_browse_prefix(self) -> str: # Prefix to use with browse path (v1) @@ -600,13 +720,26 @@ def no_env_browse_prefix(self) -> str: if self.config.platform_instance else self.platform ) - return f"/{platform_with_instance}" + return f"/{platform_with_instance}{self.site_name_browse_path}" + + @property + def site_name_browse_path(self) -> str: + site_name_prefix = ( + self.site.name if self.site and self.config.add_site_container else "" + ) + return f"/{site_name_prefix}" if site_name_prefix else "" @property def dataset_browse_prefix(self) -> str: # datasets also have the env in the browse path return f"/{self.config.env.lower()}{self.no_env_browse_prefix}" + def _re_authenticate(self): + tableau_auth: Union[ + TableauAuth, PersonalAccessTokenAuth + ] = self.config.get_tableau_auth(self.site.content_url) + self.server.auth.sign_in(tableau_auth) + def _populate_usage_stat_registry(self) -> None: if self.server is None: return @@ -713,7 +846,7 @@ def _is_denied_project(self, project: TableauProject) -> bool: def _init_tableau_project_registry(self, all_project_map: dict) -> None: list_of_skip_projects: List[TableauProject] = [] - + projects_to_ingest = {} for project in all_project_map.values(): # Skip project if it is not allowed logger.debug(f"Evaluating project pattern for {project.name}") @@ -722,7 +855,13 @@ def _init_tableau_project_registry(self, all_project_map: dict) -> None: logger.debug(f"Project {project.name} is skipped") continue logger.debug(f"Project {project.name} is added in project registry") - self.tableau_project_registry[project.id] = project + projects_to_ingest[project.id] = project + + # We rely on automatic browse paths (v2) when creating containers. That's why we need to sort the projects here. + # Otherwise, nested projects will not have the correct browse paths if not created in correct order / hierarchy. + self.tableau_project_registry = OrderedDict( + sorted(projects_to_ingest.items(), key=lambda item: len(item[1].path)) + ) if self.config.extract_project_hierarchy is False: logger.debug( @@ -793,17 +932,6 @@ def _populate_projects_registry(self) -> None: f"Tableau workbooks {self.workbook_project_map}", ) - def _authenticate(self) -> None: - try: - self.server = self.config.make_tableau_client() - logger.info("Authenticated to Tableau server") - # Note that we're not catching ConfigurationError, since we want that to throw. - except ValueError as e: - self.report.failure( - key="tableau-login", - reason=str(e), - ) - def get_data_platform_instance(self) -> DataPlatformInstanceClass: return DataPlatformInstanceClass( platform=builder.make_data_platform_urn(self.platform), @@ -844,7 +972,7 @@ def get_connection_object_page( # If ingestion has been running for over 2 hours, the Tableau # temporary credentials will expire. If this happens, this exception # will be thrown and we need to re-authenticate and retry. - self._authenticate() + self._re_authenticate() return self.get_connection_object_page( query, connection_type, @@ -881,7 +1009,10 @@ def get_connection_object_page( error and (error.get(c.EXTENSIONS) or {}).get(c.SEVERITY) == c.WARNING for error in errors ): - self.report.warning(key=connection_type, reason=f"{errors}") + self.report.warning( + message=f"Received error fetching Query Connection {connection_type}", + context=f"Errors: {errors}", + ) else: raise RuntimeError(f"Query {connection_type} error: {errors}") @@ -1423,6 +1554,7 @@ def emit_custom_sql_datasources(self) -> Iterable[MetadataWorkUnit]: datasource_name = None project = None + columns: List[Dict[Any, Any]] = [] if len(csql[c.DATA_SOURCES]) > 0: # CustomSQLTable id owned by exactly one tableau data source logger.debug( @@ -1470,7 +1602,7 @@ def emit_custom_sql_datasources(self) -> Iterable[MetadataWorkUnit]: project = self._get_project_browse_path_name(datasource) # if condition is needed as graphQL return "columns": None - columns: List[Dict[Any, Any]] = ( + columns = ( cast(List[Dict[Any, Any]], csql.get(c.COLUMNS)) if c.COLUMNS in csql and csql.get(c.COLUMNS) is not None else [] @@ -2314,7 +2446,7 @@ def emit_sheets_as_charts( last_modified = self.get_last_modified(creator, created_at, updated_at) if sheet.get(c.PATH): - site_part = f"/site/{self.config.site}" if self.config.site else "" + site_part = f"/site/{self.site.content_url}" if self.site else "" sheet_external_url = ( f"{self.config.connect_uri}/#{site_part}/views/{sheet.get(c.PATH)}" ) @@ -2325,9 +2457,9 @@ def emit_sheets_as_charts( and sheet[c.CONTAINED_IN_DASHBOARDS][0].get(c.PATH) ): # sheet contained in dashboard - site_part = f"/t/{self.config.site}" if self.config.site else "" + site_part = f"/t/{self.site.content_url}" if self.site else "" dashboard_path = sheet[c.CONTAINED_IN_DASHBOARDS][0][c.PATH] - sheet_external_url = f"{self.config.connect_uri}{site_part}/authoring/{dashboard_path}/{sheet.get(c.NAME, '')}" + sheet_external_url = f"{self.config.connect_uri}{site_part}/authoring/{dashboard_path}/{quote(sheet.get(c.NAME, ''), safe='')}" else: # hidden or viz-in-tooltip sheet sheet_external_url = None @@ -2457,7 +2589,7 @@ def emit_workbook_as_container(self, workbook: Dict) -> Iterable[MetadataWorkUni else None ) - site_part = f"/site/{self.config.site}" if self.config.site else "" + site_part = f"/site/{self.site.content_url}" if self.site else "" workbook_uri = workbook.get("uri") workbook_part = ( workbook_uri[workbook_uri.index("/workbooks/") :] if workbook_uri else None @@ -2506,6 +2638,13 @@ def gen_project_key(self, project_luid: str) -> ProjectKey: project_id=project_luid, ) + def gen_site_key(self, site_id: str) -> SiteKey: + return SiteKey( + platform=self.platform, + instance=self.config.platform_instance, + site_id=site_id, + ) + @staticmethod def _create_datahub_dashboard_usage_stat( usage_stat: UsageStat, @@ -2609,7 +2748,7 @@ def emit_dashboard( updated_at = dashboard.get(c.UPDATED_AT, datetime.now()) last_modified = self.get_last_modified(creator, created_at, updated_at) - site_part = f"/site/{self.config.site}" if self.config.site else "" + site_part = f"/site/{self.site.content_url}" if self.site else "" dashboard_external_url = ( f"{self.config.connect_uri}/#{site_part}/views/{dashboard.get(c.PATH, '')}" ) @@ -2752,23 +2891,20 @@ def _get_ownership(self, user: str) -> Optional[OwnershipClass]: return None - @classmethod - def create(cls, config_dict: dict, ctx: PipelineContext) -> Source: - config = TableauConfig.parse_obj(config_dict) - return cls(config, ctx) - def emit_project_containers(self) -> Iterable[MetadataWorkUnit]: for _id, project in self.tableau_project_registry.items(): + parent_container_key: Optional[ContainerKey] = None + if project.parent_id: + parent_container_key = self.gen_project_key(project.parent_id) + elif self.config.add_site_container and self.site and self.site.id: + parent_container_key = self.gen_site_key(self.site.id) + yield from gen_containers( container_key=self.gen_project_key(_id), name=project.name, description=project.description, sub_types=[c.PROJECT], - parent_container_key=( - self.gen_project_key(project.parent_id) - if project.parent_id - else None - ), + parent_container_key=parent_container_key, ) if ( project.parent_id is not None @@ -2783,48 +2919,42 @@ def emit_project_containers(self) -> Iterable[MetadataWorkUnit]: sub_types=[c.PROJECT], ) - def get_workunit_processors(self) -> List[Optional[MetadataWorkUnitProcessor]]: - return [ - *super().get_workunit_processors(), - StaleEntityRemovalHandler.create( - self, self.config, self.ctx - ).workunit_processor, - ] - - def get_workunits_internal(self) -> Iterable[MetadataWorkUnit]: - if self.server is None or not self.server.is_signed_in(): + def emit_site_container(self): + if not self.site or not self.site.id: + logger.warning("Can not ingest site container. No site information found.") return - try: - # Initialise the dictionary to later look-up for chart and dashboard stat - if self.config.extract_usage_stats: - self._populate_usage_stat_registry() - - # Populate the map of database names and database hostnames to be used later to map - # databases to platform instances. - if self.config.database_hostname_to_platform_instance_map: - self._populate_database_server_hostname_map() - - self._populate_projects_registry() - yield from self.emit_project_containers() - yield from self.emit_workbooks() - if self.sheet_ids: - yield from self.emit_sheets() - if self.dashboard_ids: - yield from self.emit_dashboards() - if self.embedded_datasource_ids_being_used: - yield from self.emit_embedded_datasources() - if self.datasource_ids_being_used: - yield from self.emit_published_datasources() - if self.custom_sql_ids_being_used: - yield from self.emit_custom_sql_datasources() - if self.database_tables: - yield from self.emit_upstream_tables() - except MetadataQueryException as md_exception: - self.report.failure( - key="tableau-metadata", - reason=f"Unable to retrieve metadata from tableau. Information: {str(md_exception)}", - ) - def get_report(self) -> TableauSourceReport: - return self.report - return self.report + yield from gen_containers( + container_key=self.gen_site_key(self.site.id), + name=self.site.name or "Default", + sub_types=[c.SITE], + ) + + def ingest_tableau_site(self): + # Initialise the dictionary to later look-up for chart and dashboard stat + if self.config.extract_usage_stats: + self._populate_usage_stat_registry() + + # Populate the map of database names and database hostnames to be used later to map + # databases to platform instances. + if self.config.database_hostname_to_platform_instance_map: + self._populate_database_server_hostname_map() + + self._populate_projects_registry() + + if self.config.add_site_container: + yield from self.emit_site_container() + yield from self.emit_project_containers() + yield from self.emit_workbooks() + if self.sheet_ids: + yield from self.emit_sheets() + if self.dashboard_ids: + yield from self.emit_dashboards() + if self.embedded_datasource_ids_being_used: + yield from self.emit_embedded_datasources() + if self.datasource_ids_being_used: + yield from self.emit_published_datasources() + if self.custom_sql_ids_being_used: + yield from self.emit_custom_sql_datasources() + if self.database_tables: + yield from self.emit_upstream_tables() diff --git a/metadata-ingestion/src/datahub/ingestion/source/tableau_common.py b/metadata-ingestion/src/datahub/ingestion/source/tableau_common.py index 6c75876e687877..93f2a0ef2f6a86 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/tableau_common.py +++ b/metadata-ingestion/src/datahub/ingestion/source/tableau_common.py @@ -767,7 +767,12 @@ def get_overridden_info( ): platform_instance = database_hostname_to_platform_instance_map.get(hostname) - if original_platform in ("athena", "hive", "mysql"): # Two tier databases + if original_platform in ( + "athena", + "hive", + "mysql", + "teradata", + ): # Two tier databases upstream_db = None return upstream_db, platform_instance, platform, original_platform diff --git a/metadata-ingestion/src/datahub/ingestion/source/tableau_constant.py b/metadata-ingestion/src/datahub/ingestion/source/tableau_constant.py index 9ead9a407d957a..5acadf8ca19e58 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/tableau_constant.py +++ b/metadata-ingestion/src/datahub/ingestion/source/tableau_constant.py @@ -78,4 +78,5 @@ DASHBOARDS_CONNECTION = "dashboardsConnection" EMBEDDED_DATA_SOURCES_CONNECTION = "embeddedDatasourcesConnection" PROJECT = "Project" +SITE = "Site" IS_UNSUPPORTED_CUSTOM_SQL = "isUnsupportedCustomSql" diff --git a/metadata-ingestion/src/datahub/ingestion/source/unity/proxy.py b/metadata-ingestion/src/datahub/ingestion/source/unity/proxy.py index 1e90f3a044f425..112acd8101297f 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/unity/proxy.py +++ b/metadata-ingestion/src/datahub/ingestion/source/unity/proxy.py @@ -122,7 +122,7 @@ def catalogs(self, metastore: Optional[Metastore]) -> Iterable[Catalog]: response = self._workspace_client.catalogs.list() if not response: logger.info("Catalogs not found") - return [] + return for catalog in response: optional_catalog = self._create_catalog(metastore, catalog) if optional_catalog: @@ -151,7 +151,7 @@ def schemas(self, catalog: Catalog) -> Iterable[Schema]: response = self._workspace_client.schemas.list(catalog_name=catalog.name) if not response: logger.info(f"Schemas not found for catalog {catalog.id}") - return [] + return for schema in response: optional_schema = self._create_schema(catalog, schema) if optional_schema: @@ -170,7 +170,7 @@ def tables(self, schema: Schema) -> Iterable[Table]: ) if not response: logger.info(f"Tables not found for schema {schema.id}") - return [] + return for table in response: try: optional_table = self._create_table( diff --git a/metadata-ingestion/src/datahub/ingestion/source/unity/source.py b/metadata-ingestion/src/datahub/ingestion/source/unity/source.py index 42ca9af7e8459a..b29170cb2d705d 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/unity/source.py +++ b/metadata-ingestion/src/datahub/ingestion/source/unity/source.py @@ -262,7 +262,7 @@ def get_workunit_processors(self) -> List[Optional[MetadataWorkUnitProcessor]]: def get_workunits_internal(self) -> Iterable[MetadataWorkUnit]: self.report.report_ingestion_stage_start("Ingestion Setup") wait_on_warehouse = None - if self.config.is_profiling_enabled() or self.config.include_hive_metastore: + if self.config.include_hive_metastore: self.report.report_ingestion_stage_start("Start warehouse") # Can take several minutes, so start now and wait later wait_on_warehouse = self.unity_catalog_api_proxy.start_warehouse() @@ -309,9 +309,20 @@ def get_workunits_internal(self) -> Iterable[MetadataWorkUnit]: ) if self.config.is_profiling_enabled(): - self.report.report_ingestion_stage_start("Wait on warehouse") - assert wait_on_warehouse - wait_on_warehouse.result() + self.report.report_ingestion_stage_start("Start warehouse") + # Need to start the warehouse again for profiling, + # as it may have been stopped after ingestion might take + # longer time to complete + wait_on_warehouse = self.unity_catalog_api_proxy.start_warehouse() + if wait_on_warehouse is None: + self.report.report_failure( + "initialization", + f"SQL warehouse {self.config.profiling.warehouse_id} not found", + ) + return + else: + # wait until warehouse is started + wait_on_warehouse.result() self.report.report_ingestion_stage_start("Profiling") if isinstance(self.config.profiling, UnityCatalogAnalyzeProfilerConfig): diff --git a/metadata-ingestion/src/datahub/ingestion/source/usage/clickhouse_usage.py b/metadata-ingestion/src/datahub/ingestion/source/usage/clickhouse_usage.py index 50cbbded69f192..4c2e4d42c440e8 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/usage/clickhouse_usage.py +++ b/metadata-ingestion/src/datahub/ingestion/source/usage/clickhouse_usage.py @@ -116,7 +116,7 @@ def get_workunits_internal(self) -> Iterable[MetadataWorkUnit]: access_events = self._get_clickhouse_history() # If the query results is empty, we don't want to proceed if not access_events: - return [] + return joined_access_event = self._get_joined_access_event(access_events) aggregated_info = self._aggregate_access_events(joined_access_event) diff --git a/metadata-ingestion/src/datahub/ingestion/source/usage/starburst_trino_usage.py b/metadata-ingestion/src/datahub/ingestion/source/usage/starburst_trino_usage.py index 10cf981abce562..6ded11027c83a8 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/usage/starburst_trino_usage.py +++ b/metadata-ingestion/src/datahub/ingestion/source/usage/starburst_trino_usage.py @@ -135,7 +135,7 @@ def get_workunits_internal(self) -> Iterable[MetadataWorkUnit]: access_events = self._get_trino_history() # If the query results is empty, we don't want to proceed if not access_events: - return [] + return joined_access_event = self._get_joined_access_event(access_events) aggregated_info = self._aggregate_access_events(joined_access_event) diff --git a/metadata-ingestion/src/datahub/ingestion/source_config/operation_config.py b/metadata-ingestion/src/datahub/ingestion/source_config/operation_config.py index 3deb9e75d97e7b..a670173aa47519 100644 --- a/metadata-ingestion/src/datahub/ingestion/source_config/operation_config.py +++ b/metadata-ingestion/src/datahub/ingestion/source_config/operation_config.py @@ -69,10 +69,10 @@ def is_profiling_enabled(operation_config: OperationConfig) -> bool: today = datetime.date.today() if ( operation_config.profile_day_of_week is not None - and operation_config.profile_date_of_month != today.weekday() + and operation_config.profile_day_of_week != today.weekday() ): logger.info( - "Profiling won't be done because weekday does not match config profile_date_of_month.", + "Profiling won't be done because weekday does not match config profile_day_of_week.", ) return False if ( diff --git a/metadata-ingestion/src/datahub/ingestion/transformer/dataset_transformer.py b/metadata-ingestion/src/datahub/ingestion/transformer/dataset_transformer.py index a78a79141e8e42..3e313ddd356be7 100644 --- a/metadata-ingestion/src/datahub/ingestion/transformer/dataset_transformer.py +++ b/metadata-ingestion/src/datahub/ingestion/transformer/dataset_transformer.py @@ -27,6 +27,16 @@ def entity_types(self) -> List[str]: return ["dataset"] +class TagTransformer(BaseTransformer, SingleAspectTransformer, metaclass=ABCMeta): + """Transformer that does transform sequentially on each tag.""" + + def __init__(self): + super().__init__() + + def entity_types(self) -> List[str]: + return ["dataset", "container"] + + class DatasetOwnershipTransformer(DatasetTransformer, metaclass=ABCMeta): def aspect_name(self) -> str: return "ownership" @@ -128,3 +138,8 @@ def aspect_name(self) -> str: class DatasetUsageStatisticsTransformer(DatasetTransformer, metaclass=ABCMeta): def aspect_name(self) -> str: return "datasetUsageStatistics" + + +class TagsToTermTransformer(TagTransformer, metaclass=ABCMeta): + def aspect_name(self) -> str: + return "glossaryTerms" diff --git a/metadata-ingestion/src/datahub/ingestion/transformer/tags_to_terms.py b/metadata-ingestion/src/datahub/ingestion/transformer/tags_to_terms.py new file mode 100644 index 00000000000000..338f191c0829df --- /dev/null +++ b/metadata-ingestion/src/datahub/ingestion/transformer/tags_to_terms.py @@ -0,0 +1,145 @@ +from typing import List, Optional, Set, cast + +import datahub.emitter.mce_builder as builder +from datahub.configuration.common import ( + TransformerSemantics, + TransformerSemanticsConfigModel, +) +from datahub.emitter.mce_builder import Aspect, make_term_urn +from datahub.ingestion.api.common import PipelineContext +from datahub.ingestion.graph.client import DataHubGraph +from datahub.ingestion.transformer.dataset_transformer import TagsToTermTransformer +from datahub.metadata.schema_classes import ( + AuditStampClass, + GlobalTagsClass, + GlossaryTermAssociationClass, + GlossaryTermsClass, + SchemaMetadataClass, +) + + +class TagsToTermMapperConfig(TransformerSemanticsConfigModel): + tags: List[str] + + +class TagsToTermMapper(TagsToTermTransformer): + """This transformer maps specified tags to corresponding glossary terms for a dataset.""" + + def __init__(self, config: TagsToTermMapperConfig, ctx: PipelineContext): + super().__init__() + self.ctx: PipelineContext = ctx + self.config: TagsToTermMapperConfig = config + + @classmethod + def create(cls, config_dict: dict, ctx: PipelineContext) -> "TagsToTermMapper": + config = TagsToTermMapperConfig.parse_obj(config_dict) + return cls(config, ctx) + + @staticmethod + def _merge_with_server_glossary_terms( + graph: DataHubGraph, + urn: str, + glossary_terms_aspect: Optional[GlossaryTermsClass], + ) -> Optional[GlossaryTermsClass]: + if not glossary_terms_aspect or not glossary_terms_aspect.terms: + # nothing to add, no need to consult server + return None + + # Merge the transformed terms with existing server terms. + # The transformed terms takes precedence, which may change the term context. + server_glossary_terms_aspect = graph.get_glossary_terms(entity_urn=urn) + if server_glossary_terms_aspect is not None: + glossary_terms_aspect.terms = list( + { + **{term.urn: term for term in server_glossary_terms_aspect.terms}, + **{term.urn: term for term in glossary_terms_aspect.terms}, + }.values() + ) + + return glossary_terms_aspect + + @staticmethod + def get_tags_from_global_tags(global_tags: Optional[GlobalTagsClass]) -> Set[str]: + """Extracts tags urn from GlobalTagsClass.""" + if not global_tags or not global_tags.tags: + return set() + + return {tag_assoc.tag for tag_assoc in global_tags.tags} + + @staticmethod + def get_tags_from_schema_metadata( + schema_metadata: Optional[SchemaMetadataClass], + ) -> Set[str]: + """Extracts globalTags from all fields in SchemaMetadataClass.""" + if not schema_metadata or not schema_metadata.fields: + return set() + tags = set() + for field in schema_metadata.fields: + if field.globalTags: + tags.update( + TagsToTermMapper.get_tags_from_global_tags(field.globalTags) + ) + return tags + + def transform_aspect( + self, entity_urn: str, aspect_name: str, aspect: Optional[Aspect] + ) -> Optional[Aspect]: + + in_glossary_terms: Optional[GlossaryTermsClass] = cast( + Optional[GlossaryTermsClass], aspect + ) + + assert self.ctx.graph + in_global_tags_aspect: Optional[GlobalTagsClass] = self.ctx.graph.get_tags( + entity_urn + ) + in_schema_metadata_aspect: Optional[ + SchemaMetadataClass + ] = self.ctx.graph.get_schema_metadata(entity_urn) + + if in_global_tags_aspect is None and in_schema_metadata_aspect is None: + return cast(Aspect, in_glossary_terms) + + global_tags = TagsToTermMapper.get_tags_from_global_tags(in_global_tags_aspect) + schema_metadata_tags = TagsToTermMapper.get_tags_from_schema_metadata( + in_schema_metadata_aspect + ) + + # Combine tags from both global and schema level + combined_tags = global_tags.union(schema_metadata_tags) + + tag_set = set(self.config.tags) + terms_to_add = set() + tags_to_delete = set() + + # Check each global tag against the configured tag list and prepare terms + for full_tag in combined_tags: + tag_name = full_tag.split("urn:li:tag:")[-1].split(".")[-1].split(":")[0] + if tag_name in tag_set: + term_urn = make_term_urn(tag_name) + terms_to_add.add(term_urn) + tags_to_delete.add(full_tag) # Full URN for deletion + + if not terms_to_add: + return cast(Aspect, in_glossary_terms) # No new terms to add + + for tag_urn in tags_to_delete: + self.ctx.graph.remove_tag(tag_urn=tag_urn, resource_urn=entity_urn) + + # Initialize the Glossary Terms properly + out_glossary_terms = GlossaryTermsClass( + terms=[GlossaryTermAssociationClass(urn=term) for term in terms_to_add], + auditStamp=AuditStampClass( + time=builder.get_sys_time(), actor="urn:li:corpUser:restEmitter" + ), + ) + + if self.config.semantics == TransformerSemantics.PATCH: + patch_glossary_terms: Optional[ + GlossaryTermsClass + ] = TagsToTermMapper._merge_with_server_glossary_terms( + self.ctx.graph, entity_urn, out_glossary_terms + ) + return cast(Optional[Aspect], patch_glossary_terms) + else: + return cast(Aspect, out_glossary_terms) diff --git a/metadata-ingestion/src/datahub/specific/datajob.py b/metadata-ingestion/src/datahub/specific/datajob.py index acbc1a860968bd..2d944edeb36403 100644 --- a/metadata-ingestion/src/datahub/specific/datajob.py +++ b/metadata-ingestion/src/datahub/specific/datajob.py @@ -378,45 +378,29 @@ def set_output_datasets(self, outputs: List[Edge]) -> "DataJobPatchBuilder": ) return self - def add_input_dataset_field( - self, input: Union[Edge, Urn, str] - ) -> "DataJobPatchBuilder": + def add_input_dataset_field(self, input: Union[Urn, str]) -> "DataJobPatchBuilder": """ Adds an input dataset field to the DataJobPatchBuilder. Args: - input: The input dataset field, which can be an Edge object, Urn object, or a string. + input: The input dataset field, which can be an Urn object, or a string. Returns: The DataJobPatchBuilder instance. Raises: ValueError: If the input is not a Schema Field urn. - - Notes: - If `input` is an Edge object, it is used directly. If `input` is a Urn object or string, - it is converted to an Edge object and added with default audit stamps. """ - if isinstance(input, Edge): - input_urn: str = input.destinationUrn - input_edge: Edge = input - elif isinstance(input, (Urn, str)): - input_urn = str(input) - if not input_urn.startswith("urn:li:schemaField:"): - raise ValueError(f"Input {input} is not a Schema Field urn") - - input_edge = Edge( - destinationUrn=input_urn, - created=self._mint_auditstamp(), - lastModified=self._mint_auditstamp(), - ) + input_urn = str(input) + urn = Urn.create_from_string(input_urn) + if not urn.get_type() == "schemaField": + raise ValueError(f"Input {input} is not a Schema Field urn") - self._ensure_urn_type("schemaField", [input_edge], "add_input_dataset_field") self._add_patch( DataJobInputOutput.ASPECT_NAME, "add", path=f"/inputDatasetFields/{self.quote(input_urn)}", - value=input_edge, + value={}, ) return self @@ -467,44 +451,30 @@ def set_input_dataset_fields(self, inputs: List[Edge]) -> "DataJobPatchBuilder": return self def add_output_dataset_field( - self, output: Union[Edge, Urn, str] + self, output: Union[Urn, str] ) -> "DataJobPatchBuilder": """ Adds an output dataset field to the DataJobPatchBuilder. Args: - output: The output dataset field, which can be an Edge object, Urn object, or a string. + output: The output dataset field, which can be an Urn object, or a string. Returns: The DataJobPatchBuilder instance. Raises: ValueError: If the output is not a Schema Field urn. - - Notes: - If `output` is an Edge object, it is used directly. If `output` is a Urn object or string, - it is converted to an Edge object and added with default audit stamps. """ - if isinstance(output, Edge): - output_urn: str = output.destinationUrn - output_edge: Edge = output - elif isinstance(output, (Urn, str)): - output_urn = str(output) - if not output_urn.startswith("urn:li:schemaField:"): - raise ValueError(f"Input {input} is not a Schema Field urn") - - output_edge = Edge( - destinationUrn=output_urn, - created=self._mint_auditstamp(), - lastModified=self._mint_auditstamp(), - ) + output_urn = str(output) + urn = Urn.create_from_string(output_urn) + if not urn.get_type() == "schemaField": + raise ValueError(f"Input {output} is not a Schema Field urn") - self._ensure_urn_type("schemaField", [output_edge], "add_output_dataset_field") self._add_patch( DataJobInputOutput.ASPECT_NAME, "add", path=f"/outputDatasetFields/{self.quote(output_urn)}", - value=output_edge, + value={}, ) return self diff --git a/metadata-ingestion/src/datahub/specific/form.py b/metadata-ingestion/src/datahub/specific/form.py new file mode 100644 index 00000000000000..78182c202f7162 --- /dev/null +++ b/metadata-ingestion/src/datahub/specific/form.py @@ -0,0 +1,146 @@ +from typing import List, Optional, Union + +from datahub.emitter.mcp_patch_builder import MetadataPatchProposal +from datahub.metadata.schema_classes import ( + FormInfoClass as FormInfo, + FormPromptClass, + KafkaAuditHeaderClass, + OwnerClass as Owner, + OwnershipTypeClass, + SystemMetadataClass, +) +from datahub.specific.ownership import OwnershipPatchHelper +from datahub.utilities.urns.urn import Urn + + +class FormPatchBuilder(MetadataPatchProposal): + def __init__( + self, + urn: str, + system_metadata: Optional[SystemMetadataClass] = None, + audit_header: Optional[KafkaAuditHeaderClass] = None, + ) -> None: + super().__init__( + urn, system_metadata=system_metadata, audit_header=audit_header + ) + self.ownership_patch_helper = OwnershipPatchHelper(self) + + def add_owner(self, owner: Owner) -> "FormPatchBuilder": + self.ownership_patch_helper.add_owner(owner) + return self + + def remove_owner( + self, owner: str, owner_type: Optional[OwnershipTypeClass] = None + ) -> "FormPatchBuilder": + """ + param: owner_type is optional + """ + self.ownership_patch_helper.remove_owner(owner, owner_type) + return self + + def set_owners(self, owners: List[Owner]) -> "FormPatchBuilder": + self.ownership_patch_helper.set_owners(owners) + return self + + def set_name(self, name: Optional[str] = None) -> "FormPatchBuilder": + if name is not None: + self._add_patch( + FormInfo.ASPECT_NAME, + "add", + path="/name", + value=name, + ) + return self + + def set_description(self, description: Optional[str] = None) -> "FormPatchBuilder": + if description is not None: + self._add_patch( + FormInfo.ASPECT_NAME, + "add", + path="/description", + value=description, + ) + return self + + def set_type(self, type: Optional[str] = None) -> "FormPatchBuilder": + if type is not None: + self._add_patch( + FormInfo.ASPECT_NAME, + "add", + path="/type", + value=type, + ) + return self + + def add_prompt(self, prompt: FormPromptClass) -> "FormPatchBuilder": + self._add_patch( + FormInfo.ASPECT_NAME, + "add", + path=f"/prompts/{self.quote(prompt.id)}", + value=prompt, + ) + return self + + def add_prompts(self, prompts: List[FormPromptClass]) -> "FormPatchBuilder": + for prompt in prompts: + self.add_prompt(prompt) + return self + + def remove_prompt(self, prompt_id: str) -> "FormPatchBuilder": + self._add_patch( + FormInfo.ASPECT_NAME, + "remove", + path=f"/prompts/{self.quote(prompt_id)}", + value=prompt_id, + ) + return self + + def remove_prompts(self, prompt_ids: List[str]) -> "FormPatchBuilder": + for prompt_id in prompt_ids: + self.remove_prompt(prompt_id) + return self + + def set_ownership_form(self, is_ownership: bool) -> "FormPatchBuilder": + self._add_patch( + FormInfo.ASPECT_NAME, + "add", + path="/actors/owners", + value=is_ownership, + ) + return self + + def add_assigned_user(self, user_urn: Union[str, Urn]) -> "FormPatchBuilder": + self._add_patch( + FormInfo.ASPECT_NAME, + "add", + path=f"/actors/users/{self.quote(str(user_urn))}", + value=user_urn, + ) + return self + + def remove_assigned_user(self, user_urn: Union[str, Urn]) -> "FormPatchBuilder": + self._add_patch( + FormInfo.ASPECT_NAME, + "remove", + path=f"/actors/users/{self.quote(str(user_urn))}", + value=user_urn, + ) + return self + + def add_assigned_group(self, group_urn: Union[str, Urn]) -> "FormPatchBuilder": + self._add_patch( + FormInfo.ASPECT_NAME, + "add", + path=f"/actors/groups/{self.quote(str(group_urn))}", + value=group_urn, + ) + return self + + def remove_assigned_group(self, group_urn: Union[str, Urn]) -> "FormPatchBuilder": + self._add_patch( + FormInfo.ASPECT_NAME, + "remove", + path=f"/actors/groups/{self.quote(str(group_urn))}", + value=group_urn, + ) + return self diff --git a/metadata-ingestion/src/datahub/specific/structured_property.py b/metadata-ingestion/src/datahub/specific/structured_property.py new file mode 100644 index 00000000000000..50f1f079c2aa72 --- /dev/null +++ b/metadata-ingestion/src/datahub/specific/structured_property.py @@ -0,0 +1,125 @@ +from typing import Dict, List, Optional, Union + +from datahub.emitter.mcp_patch_builder import MetadataPatchProposal +from datahub.metadata.schema_classes import ( + KafkaAuditHeaderClass, + PropertyValueClass, + StructuredPropertyDefinitionClass as StructuredPropertyDefinition, + SystemMetadataClass, +) +from datahub.utilities.urns.urn import Urn + + +# This patch builder is for structured property entities. Not for the aspect on assets. +class StructuredPropertyPatchBuilder(MetadataPatchProposal): + def __init__( + self, + urn: str, + system_metadata: Optional[SystemMetadataClass] = None, + audit_header: Optional[KafkaAuditHeaderClass] = None, + ) -> None: + super().__init__( + urn, system_metadata=system_metadata, audit_header=audit_header + ) + + # can only be used when creating a new structured property + def set_qualified_name( + self, qualified_name: str + ) -> "StructuredPropertyPatchBuilder": + self._add_patch( + StructuredPropertyDefinition.ASPECT_NAME, + "add", + path="/qualifiedName", + value=qualified_name, + ) + return self + + def set_display_name( + self, display_name: Optional[str] = None + ) -> "StructuredPropertyPatchBuilder": + if display_name is not None: + self._add_patch( + StructuredPropertyDefinition.ASPECT_NAME, + "add", + path="/displayName", + value=display_name, + ) + return self + + # can only be used when creating a new structured property + def set_value_type( + self, value_type: Union[str, Urn] + ) -> "StructuredPropertyPatchBuilder": + self._add_patch( + StructuredPropertyDefinition.ASPECT_NAME, + "add", + path="/valueType", + value=value_type, + ) + return self + + # can only be used when creating a new structured property + def set_type_qualifier( + self, type_qualifier: Optional[Dict[str, List[str]]] = None + ) -> "StructuredPropertyPatchBuilder": + if type_qualifier is not None: + self._add_patch( + StructuredPropertyDefinition.ASPECT_NAME, + "add", + path="/typeQualifier", + value=type_qualifier, + ) + return self + + # can only be used when creating a new structured property + def add_allowed_value( + self, allowed_value: PropertyValueClass + ) -> "StructuredPropertyPatchBuilder": + self._add_patch( + StructuredPropertyDefinition.ASPECT_NAME, + "add", + path=f"/allowedValues/{str(allowed_value.get('value'))}", + value=allowed_value, + ) + return self + + def set_cardinality(self, cardinality: str) -> "StructuredPropertyPatchBuilder": + self._add_patch( + StructuredPropertyDefinition.ASPECT_NAME, + "add", + path="/cardinality", + value=cardinality, + ) + return self + + def add_entity_type( + self, entity_type: Union[str, Urn] + ) -> "StructuredPropertyPatchBuilder": + self._add_patch( + StructuredPropertyDefinition.ASPECT_NAME, + "add", + path=f"/entityTypes/{self.quote(str(entity_type))}", + value=entity_type, + ) + return self + + def set_description( + self, description: Optional[str] = None + ) -> "StructuredPropertyPatchBuilder": + if description is not None: + self._add_patch( + StructuredPropertyDefinition.ASPECT_NAME, + "add", + path="/description", + value=description, + ) + return self + + def set_immutable(self, immutable: bool) -> "StructuredPropertyPatchBuilder": + self._add_patch( + StructuredPropertyDefinition.ASPECT_NAME, + "add", + path="/immutable", + value=immutable, + ) + return self diff --git a/metadata-ingestion/src/datahub/sql_parsing/sql_parsing_aggregator.py b/metadata-ingestion/src/datahub/sql_parsing/sql_parsing_aggregator.py index 27daae11e2295f..677b96269fe586 100644 --- a/metadata-ingestion/src/datahub/sql_parsing/sql_parsing_aggregator.py +++ b/metadata-ingestion/src/datahub/sql_parsing/sql_parsing_aggregator.py @@ -1,6 +1,7 @@ import contextlib import dataclasses import enum +import functools import itertools import json import logging @@ -14,6 +15,7 @@ import datahub.emitter.mce_builder as builder import datahub.metadata.schema_classes as models +from datahub.configuration.time_window_config import get_time_bucket from datahub.emitter.mce_builder import get_sys_time, make_ts_millis from datahub.emitter.mcp import MetadataChangeProposalWrapper from datahub.emitter.sql_parsing_builder import compute_upstream_fields @@ -30,7 +32,7 @@ SchemaFieldUrn, ) from datahub.sql_parsing.schema_resolver import SchemaResolver, SchemaResolverInterface -from datahub.sql_parsing.sql_parsing_common import QueryType +from datahub.sql_parsing.sql_parsing_common import QueryType, QueryTypeProps from datahub.sql_parsing.sqlglot_lineage import ( ColumnLineageInfo, ColumnRef, @@ -103,6 +105,7 @@ class QueryMetadata: upstreams: List[UrnStr] # this is direct upstreams, which may be temp tables column_lineage: List[ColumnLineageInfo] + column_usage: Dict[UrnStr, Set[UrnStr]] confidence_score: float used_temp_tables: bool = True @@ -128,12 +131,44 @@ class KnownQueryLineageInfo: downstream: UrnStr upstreams: List[UrnStr] column_lineage: Optional[List[ColumnLineageInfo]] = None + column_usage: Optional[Dict[UrnStr, Set[UrnStr]]] = None timestamp: Optional[datetime] = None session_id: Optional[str] = None query_type: QueryType = QueryType.UNKNOWN +@dataclasses.dataclass +class KnownLineageMapping: + upstream_urn: UrnStr + downstream_urn: UrnStr + lineage_type: str = models.DatasetLineageTypeClass.COPY + + +@dataclasses.dataclass +class PreparsedQuery: + # If not provided, we will generate one using the fast fingerprint generator. + query_id: Optional[QueryId] + + query_text: str + + upstreams: List[UrnStr] + downstream: Optional[UrnStr] = None + column_lineage: Optional[List[ColumnLineageInfo]] = None + column_usage: Optional[Dict[UrnStr, Set[UrnStr]]] = None + inferred_schema: Optional[List[models.SchemaFieldClass]] = None + confidence_score: float = 1.0 + + query_count: int = 1 + user: Optional[CorpUserUrn] = None + timestamp: Optional[datetime] = None + session_id: str = _MISSING_SESSION_ID + query_type: QueryType = QueryType.UNKNOWN + query_type_props: QueryTypeProps = dataclasses.field( + default_factory=lambda: QueryTypeProps() + ) + + @dataclasses.dataclass class SqlAggregatorReport(Report): _aggregator: "SqlParsingAggregator" @@ -165,6 +200,7 @@ class SqlAggregatorReport(Report): # Other lineage loading metrics. num_known_query_lineage: int = 0 + num_preparsed_queries: int = 0 num_known_mapping_lineage: int = 0 num_table_renames: int = 0 @@ -183,10 +219,19 @@ class SqlAggregatorReport(Report): schema_resolver_count: Optional[int] = None num_unique_query_fingerprints: Optional[int] = None num_urns_with_lineage: Optional[int] = None + num_lineage_skipped_due_to_filters: int = 0 + + # Queries. num_queries_entities_generated: int = 0 + num_queries_skipped_due_to_filters: int = 0 # Usage-related. usage_skipped_missing_timestamp: int = 0 + num_query_usage_stats_generated: int = 0 + + # Operation-related. + num_operations_generated: int = 0 + num_operations_skipped_due_to_filters: int = 0 def compute_stats(self) -> None: self.schema_resolver_count = self._aggregator._schema_resolver.schema_count() @@ -209,10 +254,13 @@ def __init__( graph: Optional[DataHubGraph] = None, generate_lineage: bool = True, generate_queries: bool = True, + generate_query_subject_fields: bool = True, generate_usage_statistics: bool = False, + generate_query_usage_statistics: bool = False, generate_operations: bool = False, usage_config: Optional[BaseUsageConfig] = None, - is_temp_table: Optional[Callable[[UrnStr], bool]] = None, + is_temp_table: Optional[Callable[[str], bool]] = None, + is_allowed_table: Optional[Callable[[str], bool]] = None, format_queries: bool = True, query_log: QueryLogSetting = _DEFAULT_QUERY_LOG_SETTING, ) -> None: @@ -222,19 +270,24 @@ def __init__( self.generate_lineage = generate_lineage self.generate_queries = generate_queries + self.generate_query_subject_fields = generate_query_subject_fields self.generate_usage_statistics = generate_usage_statistics + self.generate_query_usage_statistics = generate_query_usage_statistics self.generate_operations = generate_operations if self.generate_queries and not self.generate_lineage: raise ValueError("Queries will only be generated if lineage is enabled") self.usage_config = usage_config - if self.generate_usage_statistics and self.usage_config is None: + if ( + self.generate_usage_statistics or self.generate_query_usage_statistics + ) and self.usage_config is None: raise ValueError("Usage statistics generation requires a usage config") self.report = SqlAggregatorReport(_aggregator=self) # can be used by BQ where we have a "temp_table_dataset_prefix" - self.is_temp_table = is_temp_table + self._is_temp_table = is_temp_table + self._is_allowed_table = is_allowed_table self.format_queries = format_queries self.query_log = query_log @@ -325,6 +378,15 @@ def __init__( assert self.usage_config is not None self._usage_aggregator = UsageAggregator(config=self.usage_config) + # Query usage aggregator. + # Map of query ID -> { bucket -> count } + self._query_usage_counts: Optional[FileBackedDict[Dict[datetime, int]]] = None + if self.generate_query_usage_statistics: + self._query_usage_counts = FileBackedDict[Dict[datetime, int]]( + shared_connection=self._shared_connection, + tablename="query_usage_counts", + ) + def close(self) -> None: self._exit_stack.close() @@ -387,6 +449,40 @@ def _maybe_format_query(self, query: str) -> str: return try_format_query(query, self.platform.platform_name) return query + @functools.lru_cache(maxsize=128) + def _name_from_urn(self, urn: UrnStr) -> str: + name = DatasetUrn.from_string(urn).name + if ( + platform_instance := self._schema_resolver.platform_instance + ) and name.startswith(platform_instance): + # Remove the platform instance from the name. + name = name[len(platform_instance) + 1 :] + return name + + def is_temp_table(self, urn: UrnStr) -> bool: + if self._is_temp_table is None: + return False + return self._is_temp_table(self._name_from_urn(urn)) + + def is_allowed_table(self, urn: UrnStr) -> bool: + if self.is_temp_table(urn): + return False + if self._is_allowed_table is None: + return True + return self._is_allowed_table(self._name_from_urn(urn)) + + def add( + self, item: Union[KnownQueryLineageInfo, KnownLineageMapping, PreparsedQuery] + ) -> None: + if isinstance(item, KnownQueryLineageInfo): + self.add_known_query_lineage(item) + elif isinstance(item, KnownLineageMapping): + self.add_known_lineage_mapping(item.upstream_urn, item.downstream_urn) + elif isinstance(item, PreparsedQuery): + self.add_preparsed_query(item) + else: + raise ValueError(f"Cannot add unknown item type: {type(item)}") + def add_known_query_lineage( self, known_query_lineage: KnownQueryLineageInfo, merge_lineage: bool = False ) -> None: @@ -428,6 +524,7 @@ def add_known_query_lineage( actor=None, upstreams=known_query_lineage.upstreams, column_lineage=known_query_lineage.column_lineage or [], + column_usage=known_query_lineage.column_usage or {}, confidence_score=1.0, ), merge_lineage=merge_lineage, @@ -480,6 +577,7 @@ def add_known_lineage_mapping( actor=None, upstreams=[upstream_urn], column_lineage=[], + column_usage={}, confidence_score=1.0, ) ) @@ -567,20 +665,69 @@ def add_observed_query( elif parsed.debug_info.column_error: self.report.num_observed_queries_column_failed += 1 + query_fingerprint = parsed.query_fingerprint + + self.add_preparsed_query( + PreparsedQuery( + query_id=query_fingerprint, + query_text=query, + query_count=usage_multiplier, + timestamp=query_timestamp, + user=user, + session_id=session_id, + query_type=parsed.query_type, + query_type_props=parsed.query_type_props, + upstreams=parsed.in_tables, + downstream=parsed.out_tables[0] if parsed.out_tables else None, + column_lineage=parsed.column_lineage, + # TODO: We need a full list of columns referenced, not just the out tables. + column_usage=compute_upstream_fields(parsed), + inferred_schema=infer_output_schema(parsed), + confidence_score=parsed.debug_info.confidence, + ), + is_known_temp_table=is_known_temp_table, + require_out_table_schema=require_out_table_schema, + session_has_temp_tables=session_has_temp_tables, + _is_internal=True, + ) + + def add_preparsed_query( + self, + parsed: PreparsedQuery, + is_known_temp_table: bool = False, + require_out_table_schema: bool = False, + session_has_temp_tables: bool = True, + _is_internal: bool = False, + ) -> None: + if not _is_internal: + self.report.num_preparsed_queries += 1 + + if parsed.timestamp: + # Sanity check - some of our usage subroutines require the timestamp to be in UTC. + # Ideally we'd actually reject missing tzinfo too, but we can tighten that later. + assert parsed.timestamp.tzinfo in {None, timezone.utc} + + query_fingerprint = parsed.query_id + if not query_fingerprint: + query_fingerprint = get_query_fingerprint( + parsed.query_text, + platform=self.platform.platform_name, + fast=True, + ) + # Format the query. - formatted_query = self._maybe_format_query(query) + formatted_query = self._maybe_format_query(parsed.query_text) # Register the query's usage. if not self._usage_aggregator: pass # usage is not enabled - elif query_timestamp is None: + elif parsed.timestamp is None: self.report.usage_skipped_missing_timestamp += 1 else: - # TODO: We need a full list of columns referenced, not just the out tables. - upstream_fields = compute_upstream_fields(parsed) - for upstream_urn in parsed.in_tables: - # If the upstream table is a temp table, don't log usage for it. - if (self.is_temp_table and self.is_temp_table(upstream_urn)) or ( + upstream_fields = parsed.column_usage or {} + for upstream_urn in parsed.upstreams: + # If the upstream table is a temp table or otherwise denied by filters, don't log usage for it. + if not self.is_allowed_table(upstream_urn) or ( require_out_table_schema and not self._schema_resolver.has_urn(upstream_urn) ): @@ -588,42 +735,49 @@ def add_observed_query( self._usage_aggregator.aggregate_event( resource=upstream_urn, - start_time=query_timestamp, + start_time=parsed.timestamp, query=formatted_query, - user=user.urn() if user else None, + user=parsed.user.urn() if parsed.user else None, fields=sorted(upstream_fields.get(upstream_urn, [])), - count=usage_multiplier, + count=parsed.query_count, ) - if not parsed.out_tables: - return - out_table = parsed.out_tables[0] - query_fingerprint = parsed.query_fingerprint - assert query_fingerprint is not None - - # Handle table renames. - is_renamed_table = False - if out_table in self._table_renames: - out_table = self._table_renames[out_table] - is_renamed_table = True + if self._query_usage_counts is not None and parsed.timestamp is not None: + assert self.usage_config is not None + bucket = get_time_bucket( + parsed.timestamp, self.usage_config.bucket_duration + ) + counts = self._query_usage_counts.for_mutation(query_fingerprint, {}) + counts[bucket] = counts.get(bucket, 0) + parsed.query_count # Register the query. self._add_to_query_map( QueryMetadata( query_id=query_fingerprint, formatted_query_string=formatted_query, - session_id=session_id, + session_id=parsed.session_id, query_type=parsed.query_type, lineage_type=models.DatasetLineageTypeClass.TRANSFORMED, - latest_timestamp=query_timestamp, - actor=user, - upstreams=parsed.in_tables, + latest_timestamp=parsed.timestamp, + actor=parsed.user, + upstreams=parsed.upstreams, column_lineage=parsed.column_lineage or [], - confidence_score=parsed.debug_info.confidence, + column_usage=parsed.column_usage or {}, + confidence_score=parsed.confidence_score, used_temp_tables=session_has_temp_tables, ) ) + if not parsed.downstream: + return + out_table = parsed.downstream + + # Handle table renames. + is_renamed_table = False + if out_table in self._table_renames: + out_table = self._table_renames[out_table] + is_renamed_table = True + # Register the query's lineage. if ( is_known_temp_table @@ -634,7 +788,7 @@ def add_observed_query( or ( not is_renamed_table and ( - (self.is_temp_table and self.is_temp_table(out_table)) + self.is_temp_table(out_table) or ( require_out_table_schema and not self._schema_resolver.has_urn(out_table) @@ -643,12 +797,11 @@ def add_observed_query( ) ): # Infer the schema of the output table and track it for later. - inferred_schema = infer_output_schema(parsed) - if inferred_schema is not None: - self._inferred_temp_schemas[query_fingerprint] = inferred_schema + if parsed.inferred_schema is not None: + self._inferred_temp_schemas[query_fingerprint] = parsed.inferred_schema # Also track the lineage for the temp table, for merging purposes later. - self._temp_lineage_map.for_mutation(session_id, {})[ + self._temp_lineage_map.for_mutation(parsed.session_id, {})[ out_table ] = query_fingerprint @@ -743,6 +896,7 @@ def _process_view_definition( actor=None, upstreams=parsed.in_tables, column_lineage=parsed.column_lineage or [], + column_usage=compute_upstream_fields(parsed), confidence_score=parsed.debug_info.confidence, ) ) @@ -824,6 +978,7 @@ def _add_to_query_map( # here just in case more schemas got registered in the interim. current.upstreams = new.upstreams current.column_lineage = new.column_lineage + current.column_usage = new.column_usage current.confidence_score = new.confidence_score else: # In the case of known query lineage, we might get things one at a time. @@ -838,13 +993,16 @@ def _add_to_query_map( self._query_map[query_fingerprint] = new def gen_metadata(self) -> Iterable[MetadataChangeProposalWrapper]: - # diff from v1 - we generate operations here, and it also - # generates MCPWs instead of workunits - yield from self._gen_lineage_mcps() + queries_generated: Set[QueryId] = set() + + yield from self._gen_lineage_mcps(queries_generated) + yield from self._gen_remaining_queries(queries_generated) yield from self._gen_usage_statistics_mcps() yield from self._gen_operation_mcps() - def _gen_lineage_mcps(self) -> Iterable[MetadataChangeProposalWrapper]: + def _gen_lineage_mcps( + self, queries_generated: Set[QueryId] + ) -> Iterable[MetadataChangeProposalWrapper]: if not self.generate_lineage: return @@ -856,7 +1014,6 @@ def _gen_lineage_mcps(self) -> Iterable[MetadataChangeProposalWrapper]: self._view_definitions.clear() # Generate lineage and queries. - queries_generated: Set[QueryId] = set() for downstream_urn in sorted(self._lineage_map): yield from self._gen_lineage_for_downstream( downstream_urn, queries_generated=queries_generated @@ -879,6 +1036,10 @@ def _query_type_precedence(cls, query_type: str) -> int: def _gen_lineage_for_downstream( self, downstream_urn: str, queries_generated: Set[QueryId] ) -> Iterable[MetadataChangeProposalWrapper]: + if not self.is_allowed_table(downstream_urn): + self.report.num_lineage_skipped_due_to_filters += 1 + return + query_ids = self._lineage_map[downstream_urn] queries: List[QueryMetadata] = [ self._resolve_query_with_temp_tables(self._query_map[query_id]) @@ -983,41 +1144,13 @@ def _gen_lineage_for_downstream( ) for query_id in required_queries: - if not self.can_generate_query(query_id): - continue - # Avoid generating the same query twice. if query_id in queries_generated: continue queries_generated.add(query_id) - self.report.num_queries_entities_generated += 1 query = queries_map[query_id] - yield from MetadataChangeProposalWrapper.construct_many( - entityUrn=self._query_urn(query_id), - aspects=[ - models.QueryPropertiesClass( - statement=models.QueryStatementClass( - value=query.formatted_query_string, - language=models.QueryLanguageClass.SQL, - ), - source=models.QuerySourceClass.SYSTEM, - created=query.make_created_audit_stamp(), - lastModified=query.make_last_modified_audit_stamp(), - ), - models.QuerySubjectsClass( - subjects=[ - models.QuerySubjectClass(entity=dataset_urn) - for dataset_urn in itertools.chain( - [downstream_urn], query.upstreams - ) - ] - ), - models.DataPlatformInstanceClass( - platform=self.platform.urn(), - ), - ], - ) + yield from self._gen_query(query, downstream_urn) @classmethod def _query_urn(cls, query_id: QueryId) -> str: @@ -1043,9 +1176,121 @@ def _is_known_lineage_query_id(cls, query_id: QueryId) -> bool: # never conflict with a real query fingerprint. return query_id.startswith("known_") + def _gen_remaining_queries( + self, queries_generated: Set[QueryId] + ) -> Iterable[MetadataChangeProposalWrapper]: + if not self.generate_queries or not self.generate_query_usage_statistics: + return + + assert self._query_usage_counts is not None + for query_id in self._query_usage_counts: + if query_id in queries_generated: + continue + queries_generated.add(query_id) + + yield from self._gen_query(self._query_map[query_id]) + def can_generate_query(self, query_id: QueryId) -> bool: return self.generate_queries and not self._is_known_lineage_query_id(query_id) + def _gen_query( + self, query: QueryMetadata, downstream_urn: Optional[str] = None + ) -> Iterable[MetadataChangeProposalWrapper]: + query_id = query.query_id + if not self.can_generate_query(query_id): + return + + # If a query doesn't involve any allowed tables, skip it. + if downstream_urn is None and not any( + self.is_allowed_table(urn) for urn in query.upstreams + ): + self.report.num_queries_skipped_due_to_filters += 1 + return + + query_subject_urns = OrderedSet[UrnStr]() + for upstream in query.upstreams: + query_subject_urns.add(upstream) + if self.generate_query_subject_fields: + for column in query.column_usage.get(upstream, []): + query_subject_urns.add( + builder.make_schema_field_urn(upstream, column) + ) + if downstream_urn: + query_subject_urns.add(downstream_urn) + if self.generate_query_subject_fields: + for column_lineage in query.column_lineage: + query_subject_urns.add( + builder.make_schema_field_urn( + downstream_urn, column_lineage.downstream.column + ) + ) + + yield from MetadataChangeProposalWrapper.construct_many( + entityUrn=self._query_urn(query_id), + aspects=[ + models.QueryPropertiesClass( + statement=models.QueryStatementClass( + value=query.formatted_query_string, + language=models.QueryLanguageClass.SQL, + ), + source=models.QuerySourceClass.SYSTEM, + created=query.make_created_audit_stamp(), + lastModified=query.make_last_modified_audit_stamp(), + ), + models.QuerySubjectsClass( + subjects=[ + models.QuerySubjectClass(entity=urn) + for urn in query_subject_urns + ] + ), + models.DataPlatformInstanceClass( + platform=self.platform.urn(), + ), + ], + ) + self.report.num_queries_entities_generated += 1 + + if self._query_usage_counts is not None: + assert self.usage_config is not None + + # This is slightly lossy, since we only store one unique + # user per query instead of tracking all of them. + # We also lose information because we don't keep track + # of users / lastExecutedAt timestamps per bucket. + user = query.actor + + query_counter = self._query_usage_counts.get(query_id) + if not query_counter: + return + for bucket in self.usage_config.buckets(): + count = query_counter.get(bucket) + if not count: + continue + + yield MetadataChangeProposalWrapper( + entityUrn=self._query_urn(query_id), + aspect=models.QueryUsageStatisticsClass( + timestampMillis=make_ts_millis(bucket), + eventGranularity=models.TimeWindowSizeClass( + unit=self.usage_config.bucket_duration, multiple=1 + ), + queryCount=count, + uniqueUserCount=1, + userCounts=( + [ + models.DatasetUserUsageCountsClass( + user=user.urn(), + count=count, + ) + ] + if user + else None + ), + ), + ) + + self.report.num_query_usage_stats_generated += 1 + def _resolve_query_with_temp_tables( self, base_query: QueryMetadata, @@ -1210,6 +1455,11 @@ def _gen_operation_for_downstream( # We don't generate operations for SELECTs. return + if not self.is_allowed_table(downstream_urn): + self.report.num_operations_skipped_due_to_filters += 1 + return + + self.report.num_operations_generated += 1 aspect = models.OperationClass( timestampMillis=make_ts_millis(datetime.now(tz=timezone.utc)), operationType=operation_type, diff --git a/metadata-ingestion/src/datahub/utilities/lossy_collections.py b/metadata-ingestion/src/datahub/utilities/lossy_collections.py index 6f5f4bda369a06..f71aad51ab0b6b 100644 --- a/metadata-ingestion/src/datahub/utilities/lossy_collections.py +++ b/metadata-ingestion/src/datahub/utilities/lossy_collections.py @@ -58,11 +58,19 @@ def __get_pydantic_core_schema__(cls, source_type, handler): # type: ignore return core_schema.no_info_after_validator_function(cls, handler(list)) def as_obj(self) -> List[Union[T, str]]: - base_list: List[Union[T, str]] = list(self.__iter__()) + from datahub.ingestion.api.report import Report + + base_list: List[Union[T, str]] = [ + Report.to_pure_python_obj(value) for value in list(self.__iter__()) + ] if self.sampled: base_list.append(f"... sampled of {self.total_elements} total elements") return base_list + def set_total(self, total: int) -> None: + self.total_elements = total + self.sampled = self.total_elements > self.max_elements + class LossySet(Set[T], Generic[T]): """A set that only preserves a sample of elements in a set. Currently this is a very simple greedy sampling set""" @@ -145,9 +153,13 @@ def as_obj(self) -> Dict[Union[_KT, str], Union[_VT, str]]: if self.sampled: base_dict[ "sampled" - ] = f"{len(self.keys())} sampled of at most {self.max_elements + self._overflow} entries." + ] = f"{len(self.keys())} sampled of at most {self.total_key_count()} entries." return base_dict + def total_key_count(self) -> int: + """Returns the total number of keys that have been added to this dictionary.""" + return super().__len__() + self._overflow + def dropped_keys_count(self) -> int: """Returns the number of keys that have been dropped from this dictionary.""" return self._overflow diff --git a/metadata-ingestion/tests/integration/looker/golden_looker_mces.json b/metadata-ingestion/tests/integration/looker/golden_looker_mces.json index 9ec1a69c6ffdd0..1ce1b4b4750da7 100644 --- a/metadata-ingestion/tests/integration/looker/golden_looker_mces.json +++ b/metadata-ingestion/tests/integration/looker/golden_looker_mces.json @@ -78,9 +78,6 @@ }, "nativeDataType": "string", "recursive": false, - "globalTags": { - "tags": [] - }, "isPartOfKey": false } }, @@ -140,9 +137,6 @@ }, "nativeDataType": "string", "recursive": false, - "globalTags": { - "tags": [] - }, "isPartOfKey": false } } @@ -178,9 +172,6 @@ }, "nativeDataType": "string", "recursive": false, - "globalTags": { - "tags": [] - }, "isPartOfKey": false } }, @@ -222,9 +213,6 @@ }, "nativeDataType": "string", "recursive": false, - "globalTags": { - "tags": [] - }, "isPartOfKey": false } } diff --git a/metadata-ingestion/tests/integration/looker/golden_test_allow_ingest.json b/metadata-ingestion/tests/integration/looker/golden_test_allow_ingest.json index 875d5a7356091b..87430ef1067ffd 100644 --- a/metadata-ingestion/tests/integration/looker/golden_test_allow_ingest.json +++ b/metadata-ingestion/tests/integration/looker/golden_test_allow_ingest.json @@ -76,9 +76,6 @@ }, "nativeDataType": "string", "recursive": false, - "globalTags": { - "tags": [] - }, "isPartOfKey": false } }, @@ -137,9 +134,6 @@ }, "nativeDataType": "string", "recursive": false, - "globalTags": { - "tags": [] - }, "isPartOfKey": false } }, diff --git a/metadata-ingestion/tests/integration/looker/golden_test_external_project_view_mces.json b/metadata-ingestion/tests/integration/looker/golden_test_external_project_view_mces.json index 3ba4f1fbb5da97..3f11798d0aa5a4 100644 --- a/metadata-ingestion/tests/integration/looker/golden_test_external_project_view_mces.json +++ b/metadata-ingestion/tests/integration/looker/golden_test_external_project_view_mces.json @@ -312,9 +312,6 @@ }, "nativeDataType": "string", "recursive": false, - "globalTags": { - "tags": [] - }, "isPartOfKey": false } }, @@ -373,9 +370,6 @@ }, "nativeDataType": "string", "recursive": false, - "globalTags": { - "tags": [] - }, "isPartOfKey": false } }, diff --git a/metadata-ingestion/tests/integration/looker/golden_test_file_path_ingest.json b/metadata-ingestion/tests/integration/looker/golden_test_file_path_ingest.json index be49879f4e263c..ec2c46c5daf27a 100644 --- a/metadata-ingestion/tests/integration/looker/golden_test_file_path_ingest.json +++ b/metadata-ingestion/tests/integration/looker/golden_test_file_path_ingest.json @@ -312,9 +312,6 @@ }, "nativeDataType": "string", "recursive": false, - "globalTags": { - "tags": [] - }, "isPartOfKey": false } }, @@ -373,9 +370,6 @@ }, "nativeDataType": "string", "recursive": false, - "globalTags": { - "tags": [] - }, "isPartOfKey": false } }, diff --git a/metadata-ingestion/tests/integration/looker/golden_test_independent_look_ingest.json b/metadata-ingestion/tests/integration/looker/golden_test_independent_look_ingest.json index 465244c4922093..bb3c3ccb4e2146 100644 --- a/metadata-ingestion/tests/integration/looker/golden_test_independent_look_ingest.json +++ b/metadata-ingestion/tests/integration/looker/golden_test_independent_look_ingest.json @@ -324,9 +324,6 @@ }, "nativeDataType": "string", "recursive": false, - "globalTags": { - "tags": [] - }, "isPartOfKey": false } }, @@ -386,9 +383,6 @@ }, "nativeDataType": "string", "recursive": false, - "globalTags": { - "tags": [] - }, "isPartOfKey": false } }, diff --git a/metadata-ingestion/tests/integration/looker/golden_test_ingest.json b/metadata-ingestion/tests/integration/looker/golden_test_ingest.json index ab1c6719609827..a7b8abed02da31 100644 --- a/metadata-ingestion/tests/integration/looker/golden_test_ingest.json +++ b/metadata-ingestion/tests/integration/looker/golden_test_ingest.json @@ -312,9 +312,6 @@ }, "nativeDataType": "string", "recursive": false, - "globalTags": { - "tags": [] - }, "isPartOfKey": false } }, @@ -373,9 +370,6 @@ }, "nativeDataType": "string", "recursive": false, - "globalTags": { - "tags": [] - }, "isPartOfKey": false } }, diff --git a/metadata-ingestion/tests/integration/looker/golden_test_ingest_joins.json b/metadata-ingestion/tests/integration/looker/golden_test_ingest_joins.json index 0f55e26a2baab6..a1a7747c741a6b 100644 --- a/metadata-ingestion/tests/integration/looker/golden_test_ingest_joins.json +++ b/metadata-ingestion/tests/integration/looker/golden_test_ingest_joins.json @@ -312,9 +312,6 @@ }, "nativeDataType": "string", "recursive": false, - "globalTags": { - "tags": [] - }, "isPartOfKey": false } }, @@ -373,9 +370,6 @@ }, "nativeDataType": "string", "recursive": false, - "globalTags": { - "tags": [] - }, "isPartOfKey": false } }, diff --git a/metadata-ingestion/tests/integration/looker/golden_test_ingest_unaliased_joins.json b/metadata-ingestion/tests/integration/looker/golden_test_ingest_unaliased_joins.json index fcad66ce61f23b..4d8e2e79eafadb 100644 --- a/metadata-ingestion/tests/integration/looker/golden_test_ingest_unaliased_joins.json +++ b/metadata-ingestion/tests/integration/looker/golden_test_ingest_unaliased_joins.json @@ -76,9 +76,6 @@ }, "nativeDataType": "string", "recursive": false, - "globalTags": { - "tags": [] - }, "isPartOfKey": false } }, @@ -137,9 +134,6 @@ }, "nativeDataType": "string", "recursive": false, - "globalTags": { - "tags": [] - }, "isPartOfKey": false } }, diff --git a/metadata-ingestion/tests/integration/looker/looker_mces_golden_deleted_stateful.json b/metadata-ingestion/tests/integration/looker/looker_mces_golden_deleted_stateful.json index 15f1758aa4b83a..e3cbf43059c7c7 100644 --- a/metadata-ingestion/tests/integration/looker/looker_mces_golden_deleted_stateful.json +++ b/metadata-ingestion/tests/integration/looker/looker_mces_golden_deleted_stateful.json @@ -324,9 +324,6 @@ }, "nativeDataType": "string", "recursive": false, - "globalTags": { - "tags": [] - }, "isPartOfKey": false } }, @@ -386,9 +383,6 @@ }, "nativeDataType": "string", "recursive": false, - "globalTags": { - "tags": [] - }, "isPartOfKey": false } }, @@ -813,8 +807,8 @@ } }, { - "entityType": "container", - "entityUrn": "urn:li:container:621eb6e00da9abece0f64522f81be0e7", + "entityType": "chart", + "entityUrn": "urn:li:chart:(looker,dashboard_elements.10)", "changeType": "UPSERT", "aspectName": "status", "aspect": { @@ -830,8 +824,8 @@ } }, { - "entityType": "chart", - "entityUrn": "urn:li:chart:(looker,dashboard_elements.10)", + "entityType": "dashboard", + "entityUrn": "urn:li:dashboard:(looker,dashboards.11)", "changeType": "UPSERT", "aspectName": "status", "aspect": { @@ -847,8 +841,8 @@ } }, { - "entityType": "dataset", - "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:looker,bogus data.explore.my_view,PROD)", + "entityType": "container", + "entityUrn": "urn:li:container:621eb6e00da9abece0f64522f81be0e7", "changeType": "UPSERT", "aspectName": "status", "aspect": { @@ -864,8 +858,8 @@ } }, { - "entityType": "dashboard", - "entityUrn": "urn:li:dashboard:(looker,dashboards.11)", + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:looker,bogus data.explore.my_view,PROD)", "changeType": "UPSERT", "aspectName": "status", "aspect": { diff --git a/metadata-ingestion/tests/integration/looker/looker_mces_usage_history.json b/metadata-ingestion/tests/integration/looker/looker_mces_usage_history.json index e94089d9b4ea4e..f3da2dbfac2f02 100644 --- a/metadata-ingestion/tests/integration/looker/looker_mces_usage_history.json +++ b/metadata-ingestion/tests/integration/looker/looker_mces_usage_history.json @@ -76,9 +76,6 @@ }, "nativeDataType": "string", "recursive": false, - "globalTags": { - "tags": [] - }, "isPartOfKey": false } } @@ -113,9 +110,6 @@ }, "nativeDataType": "string", "recursive": false, - "globalTags": { - "tags": [] - }, "isPartOfKey": false } } diff --git a/metadata-ingestion/tests/integration/looker/test_looker.py b/metadata-ingestion/tests/integration/looker/test_looker.py index 3e049f8b2ef4e0..e1cedee33dcb6d 100644 --- a/metadata-ingestion/tests/integration/looker/test_looker.py +++ b/metadata-ingestion/tests/integration/looker/test_looker.py @@ -1050,23 +1050,34 @@ def test_upstream_cll(pytestconfig, tmp_path, mock_time, mock_datahub_graph): ), ], ) + config = mock.MagicMock() + + config.view_naming_pattern.replace_variables.return_value = "dataset_lineages" + config.platform_name = "snowflake" + config.platform_instance = "sales" + config.env = "DEV" looker_explore: Optional[LookerExplore] = looker_common.LookerExplore.from_api( model="fake", explore_name="my_explore_name", client=mocked_client, reporter=mock.MagicMock(), - source_config=mock.MagicMock(), + source_config=config, ) assert looker_explore is not None assert looker_explore.name == "my_explore_name" assert looker_explore.fields is not None assert len(looker_explore.fields) == 3 + assert ( - looker_explore.fields[2].upstream_fields[0] == "dataset_lineages.createdon" + looker_explore.fields[2].upstream_fields[0].table + == "urn:li:dataset:(urn:li:dataPlatform:snowflake," + "sales.dataset_lineages,DEV)" ) + assert looker_explore.fields[2].upstream_fields[0].column == "createdon" + @freeze_time(FROZEN_TIME) def test_explore_tags(pytestconfig, tmp_path, mock_time, mock_datahub_graph): diff --git a/metadata-ingestion/tests/integration/lookml/duplicate_field_ingestion_golden.json b/metadata-ingestion/tests/integration/lookml/duplicate_field_ingestion_golden.json index b06b59ba436541..ca9a1503a68540 100644 --- a/metadata-ingestion/tests/integration/lookml/duplicate_field_ingestion_golden.json +++ b/metadata-ingestion/tests/integration/lookml/duplicate_field_ingestion_golden.json @@ -116,7 +116,7 @@ "aspect": { "json": { "materialized": false, - "viewLogic": "# File was added to check duplicate field issue\n\nview: dataset_lineages {\n sql_table_name: \"PUBLIC\".\"DATASET_LINEAGES\"\n ;;\n\n dimension: createdon {\n type: date\n sql: ${TABLE}.\"CREATEDON\" ;;\n }\n\n dimension_group: createdon {\n type: time\n timeframes: [\n raw,\n time,\n date,\n week,\n month,\n quarter,\n year\n ]\n sql: ${TABLE}.\"CREATEDON\" ;;\n }\n\n dimension: entity {\n type: string\n sql: ${TABLE}.\"ENTITY\" ;;\n }\n\n dimension: metadata {\n type: string\n sql: ${TABLE}.\"METADATA\" ;;\n }\n\n dimension: urn {\n type: string\n sql: ${TABLE}.\"URN\" ;;\n }\n\n dimension: version {\n type: number\n sql: ${TABLE}.\"VERSION\" ;;\n }\n\n measure: count {\n type: count\n drill_fields: []\n }\n}\n", + "viewLogic": "# File was added to check duplicate field issue\n\nview: dataset_lineages {\n sql_table_name: \"PUBLIC\".\"DATASET_LINEAGES\"\n ;;\n\n dimension: createdon {\n type: date\n sql: ${TABLE}.\"CREATEDON\" ;;\n }\n\n dimension_group: createdon {\n type: time\n timeframes: [\n raw,\n time,\n date,\n week,\n month,\n quarter,\n year\n ]\n sql: ${TABLE}.\"CREATEDON\" ;;\n }\n\n dimension: entity {\n type: string\n sql: ${TABLE}.\"ENTITY\" ;;\n }\n\n dimension: metadata {\n type: string\n sql: ${TABLE}.\"METADATA\" ;;\n }\n\n dimension: urn {\n type: string\n sql: ${TABLE}.\"URN\" ;;\n }\n\n dimension: version {\n type: number\n tags: [\"softVersion\"]\n sql: ${TABLE}.\"VERSION\" ;;\n }\n\n measure: count {\n type: count\n drill_fields: []\n }\n}\n", "viewLanguage": "lookml" } }, @@ -167,7 +167,7 @@ "time": 1586847600000, "actor": "urn:li:corpuser:datahub" }, - "dataset": "urn:li:dataset:(urn:li:dataPlatform:conn,.public.dataset_lineages,PROD)", + "dataset": "urn:li:dataset:(urn:li:dataPlatform:postgres,.public.dataset_lineages,PROD)", "type": "VIEW" } ], @@ -175,7 +175,7 @@ { "upstreamType": "FIELD_SET", "upstreams": [ - "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:conn,.public.dataset_lineages,PROD),entity)" + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:postgres,.public.dataset_lineages,PROD),entity)" ], "downstreamType": "FIELD", "downstreams": [ @@ -186,7 +186,7 @@ { "upstreamType": "FIELD_SET", "upstreams": [ - "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:conn,.public.dataset_lineages,PROD),metadata)" + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:postgres,.public.dataset_lineages,PROD),metadata)" ], "downstreamType": "FIELD", "downstreams": [ @@ -197,7 +197,7 @@ { "upstreamType": "FIELD_SET", "upstreams": [ - "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:conn,.public.dataset_lineages,PROD),urn)" + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:postgres,.public.dataset_lineages,PROD),urn)" ], "downstreamType": "FIELD", "downstreams": [ @@ -208,7 +208,7 @@ { "upstreamType": "FIELD_SET", "upstreams": [ - "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:conn,.public.dataset_lineages,PROD),version)" + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:postgres,.public.dataset_lineages,PROD),version)" ], "downstreamType": "FIELD", "downstreams": [ @@ -219,7 +219,7 @@ { "upstreamType": "FIELD_SET", "upstreams": [ - "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:conn,.public.dataset_lineages,PROD),createdon)" + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:postgres,.public.dataset_lineages,PROD),createdon)" ], "downstreamType": "FIELD", "downstreams": [ @@ -230,7 +230,7 @@ { "upstreamType": "FIELD_SET", "upstreams": [ - "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:conn,.public.dataset_lineages,PROD),count)" + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:postgres,.public.dataset_lineages,PROD),count)" ], "downstreamType": "FIELD", "downstreams": [ @@ -338,6 +338,9 @@ "recursive": false, "globalTags": { "tags": [ + { + "tag": "urn:li:tag:softVersion" + }, { "tag": "urn:li:tag:Dimension" } @@ -484,5 +487,21 @@ "runId": "lookml-test", "lastRunId": "no-run-id-provided" } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:softVersion", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "softVersion" + } + }, + "systemMetadata": { + "lastObserved": 1586847600000, + "runId": "lookml-test", + "lastRunId": "no-run-id-provided" + } } ] \ No newline at end of file diff --git a/metadata-ingestion/tests/integration/lookml/expected_output.json b/metadata-ingestion/tests/integration/lookml/expected_output.json index 931830eecf0c3e..d870c6dee40655 100644 --- a/metadata-ingestion/tests/integration/lookml/expected_output.json +++ b/metadata-ingestion/tests/integration/lookml/expected_output.json @@ -167,9 +167,66 @@ "time": 1586847600000, "actor": "urn:li:corpuser:datahub" }, - "dataset": "urn:li:dataset:(urn:li:dataPlatform:conn,..my_table,PROD)", + "dataset": "urn:li:dataset:(urn:li:dataPlatform:postgres,my_table,PROD)", "type": "VIEW" } + ], + "fineGrainedLineages": [ + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:postgres,my_table,PROD),country)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),country)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:postgres,my_table,PROD),city)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),city)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:postgres,my_table,PROD),is_latest)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),is_latest)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:postgres,my_table,PROD),timestamp)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),timestamp)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:postgres,my_table,PROD),measurement)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),average_measurement)" + ], + "confidenceScore": 1.0 + } ] } }, @@ -428,6 +485,52 @@ "dataset": "urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD)", "type": "VIEW" } + ], + "fineGrainedLineages": [ + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),country)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_derived_view,PROD),country)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),city)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_derived_view,PROD),city)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),timestamp)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_derived_view,PROD),timestamp)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),measurement)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_derived_view,PROD),average_measurement)" + ], + "confidenceScore": 1.0 + } ] } }, @@ -662,7 +765,7 @@ "time": 1586847600000, "actor": "urn:li:corpuser:datahub" }, - "dataset": "urn:li:dataset:(urn:li:dataPlatform:conn,.looker_schema.include_able,PROD)", + "dataset": "urn:li:dataset:(urn:li:dataPlatform:postgres,.looker_schema.include_able,PROD)", "type": "VIEW" } ] @@ -788,7 +891,7 @@ "time": 1586847600000, "actor": "urn:li:corpuser:datahub" }, - "dataset": "urn:li:dataset:(urn:li:dataPlatform:conn,.looker_schema.events,PROD)", + "dataset": "urn:li:dataset:(urn:li:dataPlatform:postgres,.looker_schema.events,PROD)", "type": "VIEW" } ] @@ -914,7 +1017,7 @@ "time": 1586847600000, "actor": "urn:li:corpuser:datahub" }, - "dataset": "urn:li:dataset:(urn:li:dataPlatform:conn,.looker_schema.events,PROD)", + "dataset": "urn:li:dataset:(urn:li:dataPlatform:postgres,.looker_schema.events,PROD)", "type": "VIEW" } ], @@ -922,7 +1025,7 @@ { "upstreamType": "FIELD_SET", "upstreams": [ - "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:conn,.looker_schema.events,PROD),additional_measure)" + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:postgres,.looker_schema.events,PROD),additional_measure)" ], "downstreamType": "FIELD", "downstreams": [ @@ -1098,7 +1201,7 @@ "time": 1586847600000, "actor": "urn:li:corpuser:datahub" }, - "dataset": "urn:li:dataset:(urn:li:dataPlatform:conn,..autodetect_sql_name_based_on_view_name,PROD)", + "dataset": "urn:li:dataset:(urn:li:dataPlatform:postgres,..autodetect_sql_name_based_on_view_name,PROD)", "type": "VIEW" } ] @@ -1224,7 +1327,7 @@ "time": 1586847600000, "actor": "urn:li:corpuser:datahub" }, - "dataset": "urn:li:dataset:(urn:li:dataPlatform:conn,.looker_schema.include_able,PROD)", + "dataset": "urn:li:dataset:(urn:li:dataPlatform:postgres,.looker_schema.include_able,PROD)", "type": "VIEW" } ] @@ -1299,7 +1402,7 @@ "aspect": { "json": { "materialized": false, - "viewLogic": "date DATE encode ZSTD, \n platform VARCHAR(20) encode ZSTD AS aliased_platform, \n country VARCHAR(20) encode ZSTD", + "viewLogic": "SELECT date AS DATE,\n platform AS aliased_platform,\n country", "viewLanguage": "sql" } }, @@ -1350,9 +1453,44 @@ "time": 1586847600000, "actor": "urn:li:corpuser:datahub" }, - "dataset": "urn:li:dataset:(urn:li:dataPlatform:conn,..fragment_derived_view,PROD)", + "dataset": "urn:li:dataset:(urn:li:dataPlatform:postgres,fragment_derived_view,PROD)", "type": "VIEW" } + ], + "fineGrainedLineages": [ + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:postgres,fragment_derived_view,PROD),date)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.fragment_derived_view,PROD),date)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:postgres,fragment_derived_view,PROD),platform)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.fragment_derived_view,PROD),aliased_platform)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:postgres,fragment_derived_view,PROD),country)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.fragment_derived_view,PROD),country)" + ], + "confidenceScore": 1.0 + } ] } }, @@ -1377,7 +1515,7 @@ }, "fields": [ { - "fieldPath": "aliased_platform", + "fieldPath": "date", "nullable": false, "description": "", "label": "", @@ -1388,13 +1526,10 @@ }, "nativeDataType": "unknown", "recursive": false, - "globalTags": { - "tags": [] - }, "isPartOfKey": false }, { - "fieldPath": "country", + "fieldPath": "aliased_platform", "nullable": false, "description": "", "label": "", @@ -1405,13 +1540,10 @@ }, "nativeDataType": "unknown", "recursive": false, - "globalTags": { - "tags": [] - }, "isPartOfKey": false }, { - "fieldPath": "date", + "fieldPath": "country", "nullable": false, "description": "", "label": "", @@ -1422,9 +1554,6 @@ }, "nativeDataType": "unknown", "recursive": false, - "globalTags": { - "tags": [] - }, "isPartOfKey": false } ], @@ -1503,7 +1632,7 @@ "aspect": { "json": { "materialized": false, - "viewLogic": "SELECT\n customer_id,\n SUM(sale_price) AS lifetime_spend\n FROM\n order\n WHERE\n {% condition order_region %} order.region {% endcondition %}\n GROUP BY 1", + "viewLogic": "SELECT\n customer_id,\n SUM(sale_price) AS lifetime_spend\n FROM\n order\n WHERE\n order.region='ap-south-1'\n GROUP BY 1", "viewLanguage": "sql" } }, @@ -1554,12 +1683,88 @@ "time": 1586847600000, "actor": "urn:li:corpuser:datahub" }, - "dataset": "urn:li:dataset:(urn:li:dataPlatform:conn,..order,PROD)", + "dataset": "urn:li:dataset:(urn:li:dataPlatform:postgres,order,PROD)", "type": "VIEW" } + ], + "fineGrainedLineages": [ + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:postgres,order,PROD),customer_id)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.customer_facts,PROD),customer_id)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:postgres,order,PROD),sale_price)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.customer_facts,PROD),lifetime_spend)" + ], + "confidenceScore": 1.0 + } ] } }, + { + "com.linkedin.pegasus2avro.schema.SchemaMetadata": { + "schemaName": "customer_facts", + "platform": "urn:li:dataPlatform:looker", + "version": 0, + "created": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "hash": "", + "platformSchema": { + "com.linkedin.pegasus2avro.schema.OtherSchema": { + "rawSchema": "" + } + }, + "fields": [ + { + "fieldPath": "customer_id", + "nullable": false, + "description": "", + "label": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NullType": {} + } + }, + "nativeDataType": "unknown", + "recursive": false, + "isPartOfKey": false + }, + { + "fieldPath": "lifetime_spend", + "nullable": false, + "description": "", + "label": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NullType": {} + } + }, + "nativeDataType": "unknown", + "recursive": false, + "isPartOfKey": false + } + ], + "primaryKeys": [] + } + }, { "com.linkedin.pegasus2avro.dataset.DatasetProperties": { "customProperties": { @@ -1680,7 +1885,7 @@ "time": 1586847600000, "actor": "urn:li:corpuser:datahub" }, - "dataset": "urn:li:dataset:(urn:li:dataPlatform:conn,.ecommerce.ability,PROD)", + "dataset": "urn:li:dataset:(urn:li:dataPlatform:postgres,.ecommerce.ability,PROD)", "type": "VIEW" } ], @@ -1688,7 +1893,7 @@ { "upstreamType": "FIELD_SET", "upstreams": [ - "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:conn,.ecommerce.ability,PROD),pk)" + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:postgres,.ecommerce.ability,PROD),pk)" ], "downstreamType": "FIELD", "downstreams": [ @@ -1699,7 +1904,7 @@ { "upstreamType": "FIELD_SET", "upstreams": [ - "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:conn,.ecommerce.ability,PROD),count)" + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:postgres,.ecommerce.ability,PROD),count)" ], "downstreamType": "FIELD", "downstreams": [ @@ -1896,7 +2101,7 @@ "time": 1586847600000, "actor": "urn:li:corpuser:datahub" }, - "dataset": "urn:li:dataset:(urn:li:dataPlatform:conn,..owners,PROD)", + "dataset": "urn:li:dataset:(urn:li:dataPlatform:postgres,..owners,PROD)", "type": "VIEW" } ], @@ -1904,7 +2109,7 @@ { "upstreamType": "FIELD_SET", "upstreams": [ - "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:conn,..owners,PROD),id)" + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:postgres,..owners,PROD),id)" ], "downstreamType": "FIELD", "downstreams": [ @@ -1915,7 +2120,7 @@ { "upstreamType": "FIELD_SET", "upstreams": [ - "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:conn,..owners,PROD),owner_name)" + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:postgres,..owners,PROD),owner_name)" ], "downstreamType": "FIELD", "downstreams": [ @@ -2394,7 +2599,7 @@ "time": 1586847600000, "actor": "urn:li:corpuser:datahub" }, - "dataset": "urn:li:dataset:(urn:li:dataPlatform:conn,.flightstats.accidents,PROD)", + "dataset": "urn:li:dataset:(urn:li:dataPlatform:postgres,.flightstats.accidents,PROD)", "type": "VIEW" } ], @@ -2402,7 +2607,7 @@ { "upstreamType": "FIELD_SET", "upstreams": [ - "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:conn,.flightstats.accidents,PROD),id)" + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:postgres,.flightstats.accidents,PROD),id)" ], "downstreamType": "FIELD", "downstreams": [ diff --git a/metadata-ingestion/tests/integration/lookml/field_tag_ingestion_golden.json b/metadata-ingestion/tests/integration/lookml/field_tag_ingestion_golden.json new file mode 100644 index 00000000000000..19352a85249ba8 --- /dev/null +++ b/metadata-ingestion/tests/integration/lookml/field_tag_ingestion_golden.json @@ -0,0 +1,567 @@ +[ +{ + "entityType": "container", + "entityUrn": "urn:li:container:78f22c19304954b15e8adb1d9809975e", + "changeType": "UPSERT", + "aspectName": "containerProperties", + "aspect": { + "json": { + "customProperties": { + "platform": "looker", + "env": "PROD", + "project_name": "lkml_samples" + }, + "name": "lkml_samples" + } + }, + "systemMetadata": { + "lastObserved": 1586847600000, + "runId": "lookml-test", + "lastRunId": "no-run-id-provided" + } +}, +{ + "entityType": "container", + "entityUrn": "urn:li:container:78f22c19304954b15e8adb1d9809975e", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1586847600000, + "runId": "lookml-test", + "lastRunId": "no-run-id-provided" + } +}, +{ + "entityType": "container", + "entityUrn": "urn:li:container:78f22c19304954b15e8adb1d9809975e", + "changeType": "UPSERT", + "aspectName": "dataPlatformInstance", + "aspect": { + "json": { + "platform": "urn:li:dataPlatform:looker" + } + }, + "systemMetadata": { + "lastObserved": 1586847600000, + "runId": "lookml-test", + "lastRunId": "no-run-id-provided" + } +}, +{ + "entityType": "container", + "entityUrn": "urn:li:container:78f22c19304954b15e8adb1d9809975e", + "changeType": "UPSERT", + "aspectName": "subTypes", + "aspect": { + "json": { + "typeNames": [ + "LookML Project" + ] + } + }, + "systemMetadata": { + "lastObserved": 1586847600000, + "runId": "lookml-test", + "lastRunId": "no-run-id-provided" + } +}, +{ + "entityType": "container", + "entityUrn": "urn:li:container:78f22c19304954b15e8adb1d9809975e", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "Folders" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1586847600000, + "runId": "lookml-test", + "lastRunId": "no-run-id-provided" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.dataset_lineages,PROD)", + "changeType": "UPSERT", + "aspectName": "subTypes", + "aspect": { + "json": { + "typeNames": [ + "View" + ] + } + }, + "systemMetadata": { + "lastObserved": 1586847600000, + "runId": "lookml-test", + "lastRunId": "no-run-id-provided" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.dataset_lineages,PROD)", + "changeType": "UPSERT", + "aspectName": "viewProperties", + "aspect": { + "json": { + "materialized": false, + "viewLogic": "# File was added to check duplicate field issue\n\nview: dataset_lineages {\n sql_table_name: \"PUBLIC\".\"DATASET_LINEAGES\"\n ;;\n\n dimension: createdon {\n type: date\n sql: ${TABLE}.\"CREATEDON\" ;;\n }\n\n dimension_group: createdon {\n type: time\n timeframes: [\n raw,\n time,\n date,\n week,\n month,\n quarter,\n year\n ]\n sql: ${TABLE}.\"CREATEDON\" ;;\n }\n\n dimension: entity {\n type: string\n sql: ${TABLE}.\"ENTITY\" ;;\n }\n\n dimension: metadata {\n type: string\n sql: ${TABLE}.\"METADATA\" ;;\n }\n\n dimension: urn {\n type: string\n sql: ${TABLE}.\"URN\" ;;\n }\n\n dimension: version {\n type: number\n tags: [\"softVersion\"]\n sql: ${TABLE}.\"VERSION\" ;;\n }\n\n measure: count {\n type: count\n drill_fields: []\n }\n}\n", + "viewLanguage": "lookml" + } + }, + "systemMetadata": { + "lastObserved": 1586847600000, + "runId": "lookml-test", + "lastRunId": "no-run-id-provided" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.dataset_lineages,PROD)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:78f22c19304954b15e8adb1d9809975e" + } + }, + "systemMetadata": { + "lastObserved": 1586847600000, + "runId": "lookml-test", + "lastRunId": "no-run-id-provided" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.DatasetSnapshot": { + "urn": "urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.dataset_lineages,PROD)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/Develop/lkml_samples/" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Status": { + "removed": false + } + }, + { + "com.linkedin.pegasus2avro.dataset.UpstreamLineage": { + "upstreams": [ + { + "auditStamp": { + "time": 1586847600000, + "actor": "urn:li:corpuser:datahub" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:postgres,.public.dataset_lineages,PROD)", + "type": "VIEW" + } + ], + "fineGrainedLineages": [ + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:postgres,.public.dataset_lineages,PROD),entity)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.dataset_lineages,PROD),entity)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:postgres,.public.dataset_lineages,PROD),metadata)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.dataset_lineages,PROD),metadata)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:postgres,.public.dataset_lineages,PROD),urn)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.dataset_lineages,PROD),urn)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:postgres,.public.dataset_lineages,PROD),version)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.dataset_lineages,PROD),version)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:postgres,.public.dataset_lineages,PROD),createdon)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.dataset_lineages,PROD),createdon)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:postgres,.public.dataset_lineages,PROD),count)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.dataset_lineages,PROD),count)" + ], + "confidenceScore": 1.0 + } + ] + } + }, + { + "com.linkedin.pegasus2avro.schema.SchemaMetadata": { + "schemaName": "dataset_lineages", + "platform": "urn:li:dataPlatform:looker", + "version": 0, + "created": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "hash": "", + "platformSchema": { + "com.linkedin.pegasus2avro.schema.OtherSchema": { + "rawSchema": "" + } + }, + "fields": [ + { + "fieldPath": "entity", + "nullable": false, + "description": "", + "label": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "string", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:Dimension" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "metadata", + "nullable": false, + "description": "", + "label": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "string", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:Dimension" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "urn", + "nullable": false, + "description": "", + "label": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "string", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:Dimension" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "version", + "nullable": false, + "description": "", + "label": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "number", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:softVersion" + }, + { + "tag": "urn:li:tag:Dimension" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "createdon", + "nullable": false, + "description": "", + "label": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "time", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:Dimension" + }, + { + "tag": "urn:li:tag:Temporal" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "count", + "nullable": false, + "description": "", + "label": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "count", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:Measure" + } + ] + }, + "isPartOfKey": false + } + ], + "primaryKeys": [] + } + }, + { + "com.linkedin.pegasus2avro.dataset.DatasetProperties": { + "customProperties": { + "looker.file.path": "dataset_lineages.view.lkml", + "looker.model": "data" + }, + "name": "dataset_lineages", + "tags": [] + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1586847600000, + "runId": "lookml-test", + "lastRunId": "no-run-id-provided" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.dataset_lineages,PROD)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "Develop" + }, + { + "id": "urn:li:container:78f22c19304954b15e8adb1d9809975e", + "urn": "urn:li:container:78f22c19304954b15e8adb1d9809975e" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1586847600000, + "runId": "lookml-test", + "lastRunId": "no-run-id-provided" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.TagSnapshot": { + "urn": "urn:li:tag:Dimension", + "aspects": [ + { + "com.linkedin.pegasus2avro.tag.TagProperties": { + "name": "Dimension", + "description": "A tag that is applied to all dimension fields." + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1586847600000, + "runId": "lookml-test", + "lastRunId": "no-run-id-provided" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.TagSnapshot": { + "urn": "urn:li:tag:Temporal", + "aspects": [ + { + "com.linkedin.pegasus2avro.tag.TagProperties": { + "name": "Temporal", + "description": "A tag that is applied to all time-based (temporal) fields such as timestamps or durations." + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1586847600000, + "runId": "lookml-test", + "lastRunId": "no-run-id-provided" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.TagSnapshot": { + "urn": "urn:li:tag:Measure", + "aspects": [ + { + "com.linkedin.pegasus2avro.tag.TagProperties": { + "name": "Measure", + "description": "A tag that is applied to all measures (metrics). Measures are typically the columns that you aggregate on" + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1586847600000, + "runId": "lookml-test", + "lastRunId": "no-run-id-provided" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:Dimension", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1586847600000, + "runId": "lookml-test", + "lastRunId": "no-run-id-provided" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:Measure", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1586847600000, + "runId": "lookml-test", + "lastRunId": "no-run-id-provided" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:Temporal", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1586847600000, + "runId": "lookml-test", + "lastRunId": "no-run-id-provided" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:softVersion", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "softVersion" + } + }, + "systemMetadata": { + "lastObserved": 1586847600000, + "runId": "lookml-test", + "lastRunId": "no-run-id-provided" + } +} +] \ No newline at end of file diff --git a/metadata-ingestion/tests/integration/lookml/lkml_samples/liquid.view.lkml b/metadata-ingestion/tests/integration/lookml/lkml_samples/liquid.view.lkml index bfeebfba09aa66..8d26db7931b0d0 100644 --- a/metadata-ingestion/tests/integration/lookml/lkml_samples/liquid.view.lkml +++ b/metadata-ingestion/tests/integration/lookml/lkml_samples/liquid.view.lkml @@ -1,14 +1,14 @@ view: customer_facts { derived_table: { -sql: - SELECT - customer_id, - SUM(sale_price) AS lifetime_spend - FROM - order - WHERE - {% condition order_region %} order.region {% endcondition %} - GROUP BY 1 - ;; - } + sql: + SELECT + customer_id, + SUM(sale_price) AS lifetime_spend + FROM + order + WHERE + {% condition order_region %} order.region {% endcondition %} + GROUP BY 1 + ;; + } } diff --git a/metadata-ingestion/tests/integration/lookml/lkml_samples/nested/fragment_derived.view.lkml b/metadata-ingestion/tests/integration/lookml/lkml_samples/nested/fragment_derived.view.lkml index 284bf4172cfdc3..d8397cc355e0e3 100644 --- a/metadata-ingestion/tests/integration/lookml/lkml_samples/nested/fragment_derived.view.lkml +++ b/metadata-ingestion/tests/integration/lookml/lkml_samples/nested/fragment_derived.view.lkml @@ -1,9 +1,9 @@ view: fragment_derived_view { derived_table: { - sql: date DATE encode ZSTD, - platform VARCHAR(20) encode ZSTD AS aliased_platform, - country VARCHAR(20) encode ZSTD + sql: SELECT date AS DATE, + platform AS aliased_platform, + country ;; } } diff --git a/metadata-ingestion/tests/integration/lookml/lkml_samples_duplicate_field/dataset_lineages.view.lkml b/metadata-ingestion/tests/integration/lookml/lkml_samples_duplicate_field/dataset_lineages.view.lkml index 6062993f320d33..c29c47719810a8 100644 --- a/metadata-ingestion/tests/integration/lookml/lkml_samples_duplicate_field/dataset_lineages.view.lkml +++ b/metadata-ingestion/tests/integration/lookml/lkml_samples_duplicate_field/dataset_lineages.view.lkml @@ -40,6 +40,7 @@ view: dataset_lineages { dimension: version { type: number + tags: ["softVersion"] sql: ${TABLE}."VERSION" ;; } diff --git a/metadata-ingestion/tests/integration/lookml/lkml_samples_hive/included_view_file.view.lkml b/metadata-ingestion/tests/integration/lookml/lkml_samples_hive/included_view_file.view.lkml index 6e1ccda22cac7e..06439ad14ef880 100644 --- a/metadata-ingestion/tests/integration/lookml/lkml_samples_hive/included_view_file.view.lkml +++ b/metadata-ingestion/tests/integration/lookml/lkml_samples_hive/included_view_file.view.lkml @@ -1,3 +1,3 @@ view: include_able_view { - sql_table_name: looker_schema.include_able ;; + sql_table_name: "looker_schema"."include_able" ;; } diff --git a/metadata-ingestion/tests/integration/lookml/lkml_samples_hive/liquid.view.lkml b/metadata-ingestion/tests/integration/lookml/lkml_samples_hive/liquid.view.lkml index bfeebfba09aa66..4ce62579d08edb 100644 --- a/metadata-ingestion/tests/integration/lookml/lkml_samples_hive/liquid.view.lkml +++ b/metadata-ingestion/tests/integration/lookml/lkml_samples_hive/liquid.view.lkml @@ -1,6 +1,6 @@ view: customer_facts { derived_table: { -sql: + sql: SELECT customer_id, SUM(sale_price) AS lifetime_spend diff --git a/metadata-ingestion/tests/integration/lookml/lkml_samples_hive/nested/fragment_derived.view.lkml b/metadata-ingestion/tests/integration/lookml/lkml_samples_hive/nested/fragment_derived.view.lkml index 284bf4172cfdc3..d8397cc355e0e3 100644 --- a/metadata-ingestion/tests/integration/lookml/lkml_samples_hive/nested/fragment_derived.view.lkml +++ b/metadata-ingestion/tests/integration/lookml/lkml_samples_hive/nested/fragment_derived.view.lkml @@ -1,9 +1,9 @@ view: fragment_derived_view { derived_table: { - sql: date DATE encode ZSTD, - platform VARCHAR(20) encode ZSTD AS aliased_platform, - country VARCHAR(20) encode ZSTD + sql: SELECT date AS DATE, + platform AS aliased_platform, + country ;; } } diff --git a/metadata-ingestion/tests/integration/lookml/lookml_mces_api_bigquery.json b/metadata-ingestion/tests/integration/lookml/lookml_mces_api_bigquery.json index a846e2ca84b092..8813ea532fa2b5 100644 --- a/metadata-ingestion/tests/integration/lookml/lookml_mces_api_bigquery.json +++ b/metadata-ingestion/tests/integration/lookml/lookml_mces_api_bigquery.json @@ -170,6 +170,63 @@ "dataset": "urn:li:dataset:(urn:li:dataPlatform:bigquery,project-foo.default-db.my_table,PROD)", "type": "VIEW" } + ], + "fineGrainedLineages": [ + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:bigquery,project-foo.default-db.my_table,PROD),country)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),country)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:bigquery,project-foo.default-db.my_table,PROD),city)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),city)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:bigquery,project-foo.default-db.my_table,PROD),is_latest)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),is_latest)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:bigquery,project-foo.default-db.my_table,PROD),timestamp)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),timestamp)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:bigquery,project-foo.default-db.my_table,PROD),measurement)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),average_measurement)" + ], + "confidenceScore": 1.0 + } ] } }, @@ -428,6 +485,52 @@ "dataset": "urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD)", "type": "VIEW" } + ], + "fineGrainedLineages": [ + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),country)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_derived_view,PROD),country)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),city)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_derived_view,PROD),city)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),timestamp)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_derived_view,PROD),timestamp)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),measurement)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_derived_view,PROD),average_measurement)" + ], + "confidenceScore": 1.0 + } ] } }, @@ -1299,7 +1402,7 @@ "aspect": { "json": { "materialized": false, - "viewLogic": "date DATE encode ZSTD, \n platform VARCHAR(20) encode ZSTD AS aliased_platform, \n country VARCHAR(20) encode ZSTD", + "viewLogic": "SELECT date AS DATE,\n platform AS aliased_platform,\n country", "viewLanguage": "sql" } }, @@ -1353,6 +1456,41 @@ "dataset": "urn:li:dataset:(urn:li:dataPlatform:bigquery,project-foo.default-db.fragment_derived_view,PROD)", "type": "VIEW" } + ], + "fineGrainedLineages": [ + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:bigquery,project-foo.default-db.fragment_derived_view,PROD),date)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.fragment_derived_view,PROD),date)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:bigquery,project-foo.default-db.fragment_derived_view,PROD),platform)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.fragment_derived_view,PROD),aliased_platform)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:bigquery,project-foo.default-db.fragment_derived_view,PROD),country)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.fragment_derived_view,PROD),country)" + ], + "confidenceScore": 1.0 + } ] } }, @@ -1377,7 +1515,7 @@ }, "fields": [ { - "fieldPath": "aliased_platform", + "fieldPath": "date", "nullable": false, "description": "", "label": "", @@ -1388,13 +1526,10 @@ }, "nativeDataType": "unknown", "recursive": false, - "globalTags": { - "tags": [] - }, "isPartOfKey": false }, { - "fieldPath": "country", + "fieldPath": "aliased_platform", "nullable": false, "description": "", "label": "", @@ -1405,13 +1540,10 @@ }, "nativeDataType": "unknown", "recursive": false, - "globalTags": { - "tags": [] - }, "isPartOfKey": false }, { - "fieldPath": "date", + "fieldPath": "country", "nullable": false, "description": "", "label": "", @@ -1422,9 +1554,6 @@ }, "nativeDataType": "unknown", "recursive": false, - "globalTags": { - "tags": [] - }, "isPartOfKey": false } ], @@ -1503,7 +1632,7 @@ "aspect": { "json": { "materialized": false, - "viewLogic": "SELECT\n customer_id,\n SUM(sale_price) AS lifetime_spend\n FROM\n order\n WHERE\n {% condition order_region %} order.region {% endcondition %}\n GROUP BY 1", + "viewLogic": "SELECT\n customer_id,\n SUM(sale_price) AS lifetime_spend\n FROM\n order\n WHERE\n order.region='ap-south-1'\n GROUP BY 1", "viewLanguage": "sql" } }, @@ -1557,9 +1686,85 @@ "dataset": "urn:li:dataset:(urn:li:dataPlatform:bigquery,project-foo.default-db.order,PROD)", "type": "VIEW" } + ], + "fineGrainedLineages": [ + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:bigquery,project-foo.default-db.order,PROD),customer_id)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.customer_facts,PROD),customer_id)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:bigquery,project-foo.default-db.order,PROD),sale_price)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.customer_facts,PROD),lifetime_spend)" + ], + "confidenceScore": 1.0 + } ] } }, + { + "com.linkedin.pegasus2avro.schema.SchemaMetadata": { + "schemaName": "customer_facts", + "platform": "urn:li:dataPlatform:looker", + "version": 0, + "created": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "hash": "", + "platformSchema": { + "com.linkedin.pegasus2avro.schema.OtherSchema": { + "rawSchema": "" + } + }, + "fields": [ + { + "fieldPath": "customer_id", + "nullable": false, + "description": "", + "label": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NullType": {} + } + }, + "nativeDataType": "unknown", + "recursive": false, + "isPartOfKey": false + }, + { + "fieldPath": "lifetime_spend", + "nullable": false, + "description": "", + "label": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NullType": {} + } + }, + "nativeDataType": "unknown", + "recursive": false, + "isPartOfKey": false + } + ], + "primaryKeys": [] + } + }, { "com.linkedin.pegasus2avro.dataset.DatasetProperties": { "customProperties": { diff --git a/metadata-ingestion/tests/integration/lookml/lookml_mces_api_hive2.json b/metadata-ingestion/tests/integration/lookml/lookml_mces_api_hive2.json index 47d536fb824099..4bc1a0f2f7da58 100644 --- a/metadata-ingestion/tests/integration/lookml/lookml_mces_api_hive2.json +++ b/metadata-ingestion/tests/integration/lookml/lookml_mces_api_hive2.json @@ -170,6 +170,63 @@ "dataset": "urn:li:dataset:(urn:li:dataPlatform:hive,default-hive-db.my_table,PROD)", "type": "VIEW" } + ], + "fineGrainedLineages": [ + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:hive,default-hive-db.my_table,PROD),country)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),country)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:hive,default-hive-db.my_table,PROD),city)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),city)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:hive,default-hive-db.my_table,PROD),is_latest)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),is_latest)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:hive,default-hive-db.my_table,PROD),timestamp)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),timestamp)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:hive,default-hive-db.my_table,PROD),measurement)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),average_measurement)" + ], + "confidenceScore": 1.0 + } ] } }, @@ -428,6 +485,52 @@ "dataset": "urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD)", "type": "VIEW" } + ], + "fineGrainedLineages": [ + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),country)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_derived_view,PROD),country)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),city)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_derived_view,PROD),city)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),timestamp)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_derived_view,PROD),timestamp)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),measurement)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_derived_view,PROD),average_measurement)" + ], + "confidenceScore": 1.0 + } ] } }, @@ -1299,7 +1402,7 @@ "aspect": { "json": { "materialized": false, - "viewLogic": "date DATE encode ZSTD, \n platform VARCHAR(20) encode ZSTD AS aliased_platform, \n country VARCHAR(20) encode ZSTD", + "viewLogic": "SELECT date AS DATE,\n platform AS aliased_platform,\n country", "viewLanguage": "sql" } }, @@ -1353,6 +1456,41 @@ "dataset": "urn:li:dataset:(urn:li:dataPlatform:hive,default-hive-db.fragment_derived_view,PROD)", "type": "VIEW" } + ], + "fineGrainedLineages": [ + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:hive,default-hive-db.fragment_derived_view,PROD),date)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.fragment_derived_view,PROD),date)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:hive,default-hive-db.fragment_derived_view,PROD),platform)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.fragment_derived_view,PROD),aliased_platform)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:hive,default-hive-db.fragment_derived_view,PROD),country)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.fragment_derived_view,PROD),country)" + ], + "confidenceScore": 1.0 + } ] } }, @@ -1377,7 +1515,7 @@ }, "fields": [ { - "fieldPath": "aliased_platform", + "fieldPath": "date", "nullable": false, "description": "", "label": "", @@ -1388,13 +1526,10 @@ }, "nativeDataType": "unknown", "recursive": false, - "globalTags": { - "tags": [] - }, "isPartOfKey": false }, { - "fieldPath": "country", + "fieldPath": "aliased_platform", "nullable": false, "description": "", "label": "", @@ -1405,13 +1540,10 @@ }, "nativeDataType": "unknown", "recursive": false, - "globalTags": { - "tags": [] - }, "isPartOfKey": false }, { - "fieldPath": "date", + "fieldPath": "country", "nullable": false, "description": "", "label": "", @@ -1422,9 +1554,6 @@ }, "nativeDataType": "unknown", "recursive": false, - "globalTags": { - "tags": [] - }, "isPartOfKey": false } ], @@ -1503,7 +1632,7 @@ "aspect": { "json": { "materialized": false, - "viewLogic": "SELECT\n customer_id,\n SUM(sale_price) AS lifetime_spend\n FROM\n order\n WHERE\n {% condition order_region %} order.region {% endcondition %}\n GROUP BY 1", + "viewLogic": "SELECT\n customer_id,\n SUM(sale_price) AS lifetime_spend\n FROM\n order\n WHERE\n order.region='ap-south-1'\n GROUP BY 1", "viewLanguage": "sql" } }, @@ -1557,9 +1686,85 @@ "dataset": "urn:li:dataset:(urn:li:dataPlatform:hive,default-hive-db.order,PROD)", "type": "VIEW" } + ], + "fineGrainedLineages": [ + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:hive,default-hive-db.order,PROD),customer_id)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.customer_facts,PROD),customer_id)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:hive,default-hive-db.order,PROD),sale_price)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.customer_facts,PROD),lifetime_spend)" + ], + "confidenceScore": 1.0 + } ] } }, + { + "com.linkedin.pegasus2avro.schema.SchemaMetadata": { + "schemaName": "customer_facts", + "platform": "urn:li:dataPlatform:looker", + "version": 0, + "created": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "hash": "", + "platformSchema": { + "com.linkedin.pegasus2avro.schema.OtherSchema": { + "rawSchema": "" + } + }, + "fields": [ + { + "fieldPath": "customer_id", + "nullable": false, + "description": "", + "label": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NullType": {} + } + }, + "nativeDataType": "unknown", + "recursive": false, + "isPartOfKey": false + }, + { + "fieldPath": "lifetime_spend", + "nullable": false, + "description": "", + "label": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NullType": {} + } + }, + "nativeDataType": "unknown", + "recursive": false, + "isPartOfKey": false + } + ], + "primaryKeys": [] + } + }, { "com.linkedin.pegasus2avro.dataset.DatasetProperties": { "customProperties": { diff --git a/metadata-ingestion/tests/integration/lookml/lookml_mces_badsql_parser.json b/metadata-ingestion/tests/integration/lookml/lookml_mces_badsql_parser.json index 7e323170e58dab..3fd37c47221858 100644 --- a/metadata-ingestion/tests/integration/lookml/lookml_mces_badsql_parser.json +++ b/metadata-ingestion/tests/integration/lookml/lookml_mces_badsql_parser.json @@ -159,6 +159,77 @@ "removed": false } }, + { + "com.linkedin.pegasus2avro.dataset.UpstreamLineage": { + "upstreams": [ + { + "auditStamp": { + "time": 1586847600000, + "actor": "urn:li:corpuser:datahub" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:snowflake,default_db.default_schema.my_table,PROD)", + "type": "VIEW" + } + ], + "fineGrainedLineages": [ + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,default_db.default_schema.my_table,PROD),country)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),country)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,default_db.default_schema.my_table,PROD),city)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),city)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,default_db.default_schema.my_table,PROD),is_latest)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),is_latest)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,default_db.default_schema.my_table,PROD),timestamp)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),timestamp)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,default_db.default_schema.my_table,PROD),measurement)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),average_measurement)" + ], + "confidenceScore": 1.0 + } + ] + } + }, { "com.linkedin.pegasus2avro.schema.SchemaMetadata": { "schemaName": "my_view", @@ -403,6 +474,66 @@ "removed": false } }, + { + "com.linkedin.pegasus2avro.dataset.UpstreamLineage": { + "upstreams": [ + { + "auditStamp": { + "time": 1586847600000, + "actor": "urn:li:corpuser:datahub" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD)", + "type": "VIEW" + } + ], + "fineGrainedLineages": [ + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),country)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_derived_view,PROD),country)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),city)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_derived_view,PROD),city)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),timestamp)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_derived_view,PROD),timestamp)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),measurement)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_derived_view,PROD),average_measurement)" + ], + "confidenceScore": 1.0 + } + ] + } + }, { "com.linkedin.pegasus2avro.schema.SchemaMetadata": { "schemaName": "my_derived_view", @@ -1271,7 +1402,7 @@ "aspect": { "json": { "materialized": false, - "viewLogic": "date DATE encode ZSTD, \n platform VARCHAR(20) encode ZSTD AS aliased_platform, \n country VARCHAR(20) encode ZSTD", + "viewLogic": "SELECT date AS DATE,\n platform AS aliased_platform,\n country", "viewLanguage": "sql" } }, @@ -1314,6 +1445,121 @@ "removed": false } }, + { + "com.linkedin.pegasus2avro.dataset.UpstreamLineage": { + "upstreams": [ + { + "auditStamp": { + "time": 1586847600000, + "actor": "urn:li:corpuser:datahub" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:snowflake,default_db.default_schema.fragment_derived_view,PROD)", + "type": "VIEW" + } + ], + "fineGrainedLineages": [ + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,default_db.default_schema.fragment_derived_view,PROD),date)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.fragment_derived_view,PROD),date)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,default_db.default_schema.fragment_derived_view,PROD),platform)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.fragment_derived_view,PROD),aliased_platform)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,default_db.default_schema.fragment_derived_view,PROD),country)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.fragment_derived_view,PROD),country)" + ], + "confidenceScore": 1.0 + } + ] + } + }, + { + "com.linkedin.pegasus2avro.schema.SchemaMetadata": { + "schemaName": "fragment_derived_view", + "platform": "urn:li:dataPlatform:looker", + "version": 0, + "created": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "hash": "", + "platformSchema": { + "com.linkedin.pegasus2avro.schema.OtherSchema": { + "rawSchema": "" + } + }, + "fields": [ + { + "fieldPath": "date", + "nullable": false, + "description": "", + "label": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NullType": {} + } + }, + "nativeDataType": "unknown", + "recursive": false, + "isPartOfKey": false + }, + { + "fieldPath": "aliased_platform", + "nullable": false, + "description": "", + "label": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NullType": {} + } + }, + "nativeDataType": "unknown", + "recursive": false, + "isPartOfKey": false + }, + { + "fieldPath": "country", + "nullable": false, + "description": "", + "label": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NullType": {} + } + }, + "nativeDataType": "unknown", + "recursive": false, + "isPartOfKey": false + } + ], + "primaryKeys": [] + } + }, { "com.linkedin.pegasus2avro.dataset.DatasetProperties": { "customProperties": { @@ -1386,7 +1632,7 @@ "aspect": { "json": { "materialized": false, - "viewLogic": "SELECT\n customer_id,\n SUM(sale_price) AS lifetime_spend\n FROM\n order\n WHERE\n {% condition order_region %} order.region {% endcondition %}\n GROUP BY 1", + "viewLogic": "SELECT\n customer_id,\n SUM(sale_price) AS lifetime_spend\n FROM\n order\n WHERE\n {% condition order_region %} order.region {% endcondition %}\n GROUP BY 1", "viewLanguage": "sql" } }, @@ -1429,20 +1675,6 @@ "removed": false } }, - { - "com.linkedin.pegasus2avro.dataset.UpstreamLineage": { - "upstreams": [ - { - "auditStamp": { - "time": 1586847600000, - "actor": "urn:li:corpuser:datahub" - }, - "dataset": "urn:li:dataset:(urn:li:dataPlatform:snowflake,default_db.default_schema.order,PROD)", - "type": "VIEW" - } - ] - } - }, { "com.linkedin.pegasus2avro.dataset.DatasetProperties": { "customProperties": { diff --git a/metadata-ingestion/tests/integration/lookml/lookml_mces_offline.json b/metadata-ingestion/tests/integration/lookml/lookml_mces_offline.json index caefb7b9bcce2f..3fd37c47221858 100644 --- a/metadata-ingestion/tests/integration/lookml/lookml_mces_offline.json +++ b/metadata-ingestion/tests/integration/lookml/lookml_mces_offline.json @@ -170,6 +170,63 @@ "dataset": "urn:li:dataset:(urn:li:dataPlatform:snowflake,default_db.default_schema.my_table,PROD)", "type": "VIEW" } + ], + "fineGrainedLineages": [ + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,default_db.default_schema.my_table,PROD),country)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),country)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,default_db.default_schema.my_table,PROD),city)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),city)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,default_db.default_schema.my_table,PROD),is_latest)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),is_latest)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,default_db.default_schema.my_table,PROD),timestamp)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),timestamp)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,default_db.default_schema.my_table,PROD),measurement)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),average_measurement)" + ], + "confidenceScore": 1.0 + } ] } }, @@ -428,6 +485,52 @@ "dataset": "urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD)", "type": "VIEW" } + ], + "fineGrainedLineages": [ + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),country)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_derived_view,PROD),country)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),city)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_derived_view,PROD),city)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),timestamp)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_derived_view,PROD),timestamp)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),measurement)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_derived_view,PROD),average_measurement)" + ], + "confidenceScore": 1.0 + } ] } }, @@ -1299,7 +1402,7 @@ "aspect": { "json": { "materialized": false, - "viewLogic": "date DATE encode ZSTD, \n platform VARCHAR(20) encode ZSTD AS aliased_platform, \n country VARCHAR(20) encode ZSTD", + "viewLogic": "SELECT date AS DATE,\n platform AS aliased_platform,\n country", "viewLanguage": "sql" } }, @@ -1353,6 +1456,41 @@ "dataset": "urn:li:dataset:(urn:li:dataPlatform:snowflake,default_db.default_schema.fragment_derived_view,PROD)", "type": "VIEW" } + ], + "fineGrainedLineages": [ + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,default_db.default_schema.fragment_derived_view,PROD),date)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.fragment_derived_view,PROD),date)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,default_db.default_schema.fragment_derived_view,PROD),platform)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.fragment_derived_view,PROD),aliased_platform)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,default_db.default_schema.fragment_derived_view,PROD),country)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.fragment_derived_view,PROD),country)" + ], + "confidenceScore": 1.0 + } ] } }, @@ -1377,7 +1515,7 @@ }, "fields": [ { - "fieldPath": "aliased_platform", + "fieldPath": "date", "nullable": false, "description": "", "label": "", @@ -1388,13 +1526,10 @@ }, "nativeDataType": "unknown", "recursive": false, - "globalTags": { - "tags": [] - }, "isPartOfKey": false }, { - "fieldPath": "country", + "fieldPath": "aliased_platform", "nullable": false, "description": "", "label": "", @@ -1405,13 +1540,10 @@ }, "nativeDataType": "unknown", "recursive": false, - "globalTags": { - "tags": [] - }, "isPartOfKey": false }, { - "fieldPath": "date", + "fieldPath": "country", "nullable": false, "description": "", "label": "", @@ -1422,9 +1554,6 @@ }, "nativeDataType": "unknown", "recursive": false, - "globalTags": { - "tags": [] - }, "isPartOfKey": false } ], @@ -1503,7 +1632,7 @@ "aspect": { "json": { "materialized": false, - "viewLogic": "SELECT\n customer_id,\n SUM(sale_price) AS lifetime_spend\n FROM\n order\n WHERE\n {% condition order_region %} order.region {% endcondition %}\n GROUP BY 1", + "viewLogic": "SELECT\n customer_id,\n SUM(sale_price) AS lifetime_spend\n FROM\n order\n WHERE\n {% condition order_region %} order.region {% endcondition %}\n GROUP BY 1", "viewLanguage": "sql" } }, @@ -1546,20 +1675,6 @@ "removed": false } }, - { - "com.linkedin.pegasus2avro.dataset.UpstreamLineage": { - "upstreams": [ - { - "auditStamp": { - "time": 1586847600000, - "actor": "urn:li:corpuser:datahub" - }, - "dataset": "urn:li:dataset:(urn:li:dataPlatform:snowflake,default_db.default_schema.order,PROD)", - "type": "VIEW" - } - ] - } - }, { "com.linkedin.pegasus2avro.dataset.DatasetProperties": { "customProperties": { diff --git a/metadata-ingestion/tests/integration/lookml/lookml_mces_offline_platform_instance.json b/metadata-ingestion/tests/integration/lookml/lookml_mces_offline_platform_instance.json index c0cec6c2610100..bb8a379fdde224 100644 --- a/metadata-ingestion/tests/integration/lookml/lookml_mces_offline_platform_instance.json +++ b/metadata-ingestion/tests/integration/lookml/lookml_mces_offline_platform_instance.json @@ -170,6 +170,63 @@ "dataset": "urn:li:dataset:(urn:li:dataPlatform:snowflake,warehouse.default_db.default_schema.my_table,DEV)", "type": "VIEW" } + ], + "fineGrainedLineages": [ + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,warehouse.default_db.default_schema.my_table,DEV),country)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),country)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,warehouse.default_db.default_schema.my_table,DEV),city)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),city)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,warehouse.default_db.default_schema.my_table,DEV),is_latest)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),is_latest)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,warehouse.default_db.default_schema.my_table,DEV),timestamp)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),timestamp)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,warehouse.default_db.default_schema.my_table,DEV),measurement)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),average_measurement)" + ], + "confidenceScore": 1.0 + } ] } }, @@ -428,6 +485,52 @@ "dataset": "urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD)", "type": "VIEW" } + ], + "fineGrainedLineages": [ + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),country)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_derived_view,PROD),country)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),city)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_derived_view,PROD),city)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),timestamp)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_derived_view,PROD),timestamp)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),measurement)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_derived_view,PROD),average_measurement)" + ], + "confidenceScore": 1.0 + } ] } }, @@ -1299,7 +1402,7 @@ "aspect": { "json": { "materialized": false, - "viewLogic": "date DATE encode ZSTD, \n platform VARCHAR(20) encode ZSTD AS aliased_platform, \n country VARCHAR(20) encode ZSTD", + "viewLogic": "SELECT date AS DATE,\n platform AS aliased_platform,\n country", "viewLanguage": "sql" } }, @@ -1353,6 +1456,41 @@ "dataset": "urn:li:dataset:(urn:li:dataPlatform:snowflake,warehouse.default_db.default_schema.fragment_derived_view,DEV)", "type": "VIEW" } + ], + "fineGrainedLineages": [ + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,warehouse.default_db.default_schema.fragment_derived_view,DEV),date)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.fragment_derived_view,PROD),date)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,warehouse.default_db.default_schema.fragment_derived_view,DEV),platform)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.fragment_derived_view,PROD),aliased_platform)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,warehouse.default_db.default_schema.fragment_derived_view,DEV),country)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.fragment_derived_view,PROD),country)" + ], + "confidenceScore": 1.0 + } ] } }, @@ -1377,7 +1515,7 @@ }, "fields": [ { - "fieldPath": "aliased_platform", + "fieldPath": "date", "nullable": false, "description": "", "label": "", @@ -1388,13 +1526,10 @@ }, "nativeDataType": "unknown", "recursive": false, - "globalTags": { - "tags": [] - }, "isPartOfKey": false }, { - "fieldPath": "country", + "fieldPath": "aliased_platform", "nullable": false, "description": "", "label": "", @@ -1405,13 +1540,10 @@ }, "nativeDataType": "unknown", "recursive": false, - "globalTags": { - "tags": [] - }, "isPartOfKey": false }, { - "fieldPath": "date", + "fieldPath": "country", "nullable": false, "description": "", "label": "", @@ -1422,9 +1554,6 @@ }, "nativeDataType": "unknown", "recursive": false, - "globalTags": { - "tags": [] - }, "isPartOfKey": false } ], @@ -1503,7 +1632,7 @@ "aspect": { "json": { "materialized": false, - "viewLogic": "SELECT\n customer_id,\n SUM(sale_price) AS lifetime_spend\n FROM\n order\n WHERE\n {% condition order_region %} order.region {% endcondition %}\n GROUP BY 1", + "viewLogic": "SELECT\n customer_id,\n SUM(sale_price) AS lifetime_spend\n FROM\n order\n WHERE\n {% condition order_region %} order.region {% endcondition %}\n GROUP BY 1", "viewLanguage": "sql" } }, @@ -1546,20 +1675,6 @@ "removed": false } }, - { - "com.linkedin.pegasus2avro.dataset.UpstreamLineage": { - "upstreams": [ - { - "auditStamp": { - "time": 1586847600000, - "actor": "urn:li:corpuser:datahub" - }, - "dataset": "urn:li:dataset:(urn:li:dataPlatform:snowflake,warehouse.default_db.default_schema.order,DEV)", - "type": "VIEW" - } - ] - } - }, { "com.linkedin.pegasus2avro.dataset.DatasetProperties": { "customProperties": { diff --git a/metadata-ingestion/tests/integration/lookml/lookml_mces_with_external_urls.json b/metadata-ingestion/tests/integration/lookml/lookml_mces_with_external_urls.json index 31aec97293e5a9..b8a2bcc020c34d 100644 --- a/metadata-ingestion/tests/integration/lookml/lookml_mces_with_external_urls.json +++ b/metadata-ingestion/tests/integration/lookml/lookml_mces_with_external_urls.json @@ -170,6 +170,63 @@ "dataset": "urn:li:dataset:(urn:li:dataPlatform:snowflake,default_db.default_schema.my_table,PROD)", "type": "VIEW" } + ], + "fineGrainedLineages": [ + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,default_db.default_schema.my_table,PROD),country)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),country)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,default_db.default_schema.my_table,PROD),city)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),city)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,default_db.default_schema.my_table,PROD),is_latest)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),is_latest)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,default_db.default_schema.my_table,PROD),timestamp)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),timestamp)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,default_db.default_schema.my_table,PROD),measurement)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),average_measurement)" + ], + "confidenceScore": 1.0 + } ] } }, @@ -429,6 +486,52 @@ "dataset": "urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD)", "type": "VIEW" } + ], + "fineGrainedLineages": [ + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),country)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_derived_view,PROD),country)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),city)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_derived_view,PROD),city)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),timestamp)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_derived_view,PROD),timestamp)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),measurement)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_derived_view,PROD),average_measurement)" + ], + "confidenceScore": 1.0 + } ] } }, @@ -1306,7 +1409,7 @@ "aspect": { "json": { "materialized": false, - "viewLogic": "date DATE encode ZSTD, \n platform VARCHAR(20) encode ZSTD AS aliased_platform, \n country VARCHAR(20) encode ZSTD", + "viewLogic": "SELECT date AS DATE,\n platform AS aliased_platform,\n country", "viewLanguage": "sql" } }, @@ -1360,6 +1463,41 @@ "dataset": "urn:li:dataset:(urn:li:dataPlatform:snowflake,default_db.default_schema.fragment_derived_view,PROD)", "type": "VIEW" } + ], + "fineGrainedLineages": [ + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,default_db.default_schema.fragment_derived_view,PROD),date)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.fragment_derived_view,PROD),date)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,default_db.default_schema.fragment_derived_view,PROD),platform)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.fragment_derived_view,PROD),aliased_platform)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,default_db.default_schema.fragment_derived_view,PROD),country)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.fragment_derived_view,PROD),country)" + ], + "confidenceScore": 1.0 + } ] } }, @@ -1384,7 +1522,7 @@ }, "fields": [ { - "fieldPath": "aliased_platform", + "fieldPath": "date", "nullable": false, "description": "", "label": "", @@ -1395,13 +1533,10 @@ }, "nativeDataType": "unknown", "recursive": false, - "globalTags": { - "tags": [] - }, "isPartOfKey": false }, { - "fieldPath": "country", + "fieldPath": "aliased_platform", "nullable": false, "description": "", "label": "", @@ -1412,13 +1547,10 @@ }, "nativeDataType": "unknown", "recursive": false, - "globalTags": { - "tags": [] - }, "isPartOfKey": false }, { - "fieldPath": "date", + "fieldPath": "country", "nullable": false, "description": "", "label": "", @@ -1429,9 +1561,6 @@ }, "nativeDataType": "unknown", "recursive": false, - "globalTags": { - "tags": [] - }, "isPartOfKey": false } ], @@ -1511,7 +1640,7 @@ "aspect": { "json": { "materialized": false, - "viewLogic": "SELECT\n customer_id,\n SUM(sale_price) AS lifetime_spend\n FROM\n order\n WHERE\n {% condition order_region %} order.region {% endcondition %}\n GROUP BY 1", + "viewLogic": "SELECT\n customer_id,\n SUM(sale_price) AS lifetime_spend\n FROM\n order\n WHERE\n {% condition order_region %} order.region {% endcondition %}\n GROUP BY 1", "viewLanguage": "sql" } }, @@ -1554,20 +1683,6 @@ "removed": false } }, - { - "com.linkedin.pegasus2avro.dataset.UpstreamLineage": { - "upstreams": [ - { - "auditStamp": { - "time": 1586847600000, - "actor": "urn:li:corpuser:datahub" - }, - "dataset": "urn:li:dataset:(urn:li:dataPlatform:snowflake,default_db.default_schema.order,PROD)", - "type": "VIEW" - } - ] - } - }, { "com.linkedin.pegasus2avro.dataset.DatasetProperties": { "customProperties": { diff --git a/metadata-ingestion/tests/integration/lookml/lookml_reachable_views.json b/metadata-ingestion/tests/integration/lookml/lookml_reachable_views.json index 5c43d1dc5ceaf9..8c3504a7364905 100644 --- a/metadata-ingestion/tests/integration/lookml/lookml_reachable_views.json +++ b/metadata-ingestion/tests/integration/lookml/lookml_reachable_views.json @@ -142,30 +142,6 @@ "lastRunId": "no-run-id-provided" } }, -{ - "entityType": "dataset", - "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD)", - "changeType": "UPSERT", - "aspectName": "browsePathsV2", - "aspect": { - "json": { - "path": [ - { - "id": "Develop" - }, - { - "id": "urn:li:container:78f22c19304954b15e8adb1d9809975e", - "urn": "urn:li:container:78f22c19304954b15e8adb1d9809975e" - } - ] - } - }, - "systemMetadata": { - "lastObserved": 1586847600000, - "runId": "lookml-test", - "lastRunId": "no-run-id-provided" - } -}, { "proposedSnapshot": { "com.linkedin.pegasus2avro.metadata.snapshot.DatasetSnapshot": { @@ -194,6 +170,63 @@ "dataset": "urn:li:dataset:(urn:li:dataPlatform:snowflake,warehouse.default_db.default_schema.my_table,DEV)", "type": "VIEW" } + ], + "fineGrainedLineages": [ + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,warehouse.default_db.default_schema.my_table,DEV),country)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),country)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,warehouse.default_db.default_schema.my_table,DEV),city)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),city)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,warehouse.default_db.default_schema.my_table,DEV),is_latest)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),is_latest)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,warehouse.default_db.default_schema.my_table,DEV),timestamp)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),timestamp)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,warehouse.default_db.default_schema.my_table,DEV),measurement)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD),average_measurement)" + ], + "confidenceScore": 1.0 + } ] } }, @@ -350,13 +383,19 @@ }, { "entityType": "dataset", - "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.owners,PROD)", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view,PROD)", "changeType": "UPSERT", - "aspectName": "subTypes", + "aspectName": "browsePathsV2", "aspect": { "json": { - "typeNames": [ - "View" + "path": [ + { + "id": "Develop" + }, + { + "id": "urn:li:container:78f22c19304954b15e8adb1d9809975e", + "urn": "urn:li:container:78f22c19304954b15e8adb1d9809975e" + } ] } }, @@ -370,12 +409,12 @@ "entityType": "dataset", "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.owners,PROD)", "changeType": "UPSERT", - "aspectName": "viewProperties", + "aspectName": "subTypes", "aspect": { "json": { - "materialized": false, - "viewLogic": "view: owners {\n dimension: id {\n primary_key: yes\n sql: ${TABLE}.id ;;\n }\n dimension: owner_name {\n sql: ${TABLE}.owner_name ;;\n }\n}", - "viewLanguage": "lookml" + "typeNames": [ + "View" + ] } }, "systemMetadata": { @@ -388,10 +427,12 @@ "entityType": "dataset", "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.owners,PROD)", "changeType": "UPSERT", - "aspectName": "container", + "aspectName": "viewProperties", "aspect": { "json": { - "container": "urn:li:container:78f22c19304954b15e8adb1d9809975e" + "materialized": false, + "viewLogic": "view: owners {\n dimension: id {\n primary_key: yes\n sql: ${TABLE}.id ;;\n }\n dimension: owner_name {\n sql: ${TABLE}.owner_name ;;\n }\n}", + "viewLanguage": "lookml" } }, "systemMetadata": { @@ -404,18 +445,10 @@ "entityType": "dataset", "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.owners,PROD)", "changeType": "UPSERT", - "aspectName": "browsePathsV2", + "aspectName": "container", "aspect": { "json": { - "path": [ - { - "id": "Develop" - }, - { - "id": "urn:li:container:78f22c19304954b15e8adb1d9809975e", - "urn": "urn:li:container:78f22c19304954b15e8adb1d9809975e" - } - ] + "container": "urn:li:container:78f22c19304954b15e8adb1d9809975e" } }, "systemMetadata": { @@ -568,13 +601,19 @@ }, { "entityType": "dataset", - "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view2,PROD)", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.owners,PROD)", "changeType": "UPSERT", - "aspectName": "subTypes", + "aspectName": "browsePathsV2", "aspect": { "json": { - "typeNames": [ - "View" + "path": [ + { + "id": "Develop" + }, + { + "id": "urn:li:container:78f22c19304954b15e8adb1d9809975e", + "urn": "urn:li:container:78f22c19304954b15e8adb1d9809975e" + } ] } }, @@ -588,12 +627,12 @@ "entityType": "dataset", "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view2,PROD)", "changeType": "UPSERT", - "aspectName": "viewProperties", + "aspectName": "subTypes", "aspect": { "json": { - "materialized": false, - "viewLogic": "SELECT\n is_latest,\n country,\n city,\n timestamp,\n measurement\n FROM\n my_table", - "viewLanguage": "sql" + "typeNames": [ + "View" + ] } }, "systemMetadata": { @@ -606,10 +645,12 @@ "entityType": "dataset", "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view2,PROD)", "changeType": "UPSERT", - "aspectName": "container", + "aspectName": "viewProperties", "aspect": { "json": { - "container": "urn:li:container:78f22c19304954b15e8adb1d9809975e" + "materialized": false, + "viewLogic": "SELECT\n is_latest,\n country,\n city,\n timestamp,\n measurement\n FROM\n my_table", + "viewLanguage": "sql" } }, "systemMetadata": { @@ -622,18 +663,10 @@ "entityType": "dataset", "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view2,PROD)", "changeType": "UPSERT", - "aspectName": "browsePathsV2", + "aspectName": "container", "aspect": { "json": { - "path": [ - { - "id": "Develop" - }, - { - "id": "urn:li:container:78f22c19304954b15e8adb1d9809975e", - "urn": "urn:li:container:78f22c19304954b15e8adb1d9809975e" - } - ] + "container": "urn:li:container:78f22c19304954b15e8adb1d9809975e" } }, "systemMetadata": { @@ -670,6 +703,63 @@ "dataset": "urn:li:dataset:(urn:li:dataPlatform:redshift,rs_warehouse.default_db.default_schema.my_table,DEV)", "type": "VIEW" } + ], + "fineGrainedLineages": [ + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,rs_warehouse.default_db.default_schema.my_table,DEV),country)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view2,PROD),country)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,rs_warehouse.default_db.default_schema.my_table,DEV),city)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view2,PROD),city)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,rs_warehouse.default_db.default_schema.my_table,DEV),is_latest)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view2,PROD),is_latest)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,rs_warehouse.default_db.default_schema.my_table,DEV),timestamp)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view2,PROD),timestamp)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,rs_warehouse.default_db.default_schema.my_table,DEV),measurement)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view2,PROD),average_measurement)" + ], + "confidenceScore": 1.0 + } ] } }, @@ -824,6 +914,30 @@ "lastRunId": "no-run-id-provided" } }, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.my_view2,PROD)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "Develop" + }, + { + "id": "urn:li:container:78f22c19304954b15e8adb1d9809975e", + "urn": "urn:li:container:78f22c19304954b15e8adb1d9809975e" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1586847600000, + "runId": "lookml-test", + "lastRunId": "no-run-id-provided" + } +}, { "proposedSnapshot": { "com.linkedin.pegasus2avro.metadata.snapshot.TagSnapshot": { diff --git a/metadata-ingestion/tests/integration/lookml/lookml_same_name_views_different_file_path.json b/metadata-ingestion/tests/integration/lookml/lookml_same_name_views_different_file_path.json index a5357ccada8a3d..b86f7703e6f5e6 100644 --- a/metadata-ingestion/tests/integration/lookml/lookml_same_name_views_different_file_path.json +++ b/metadata-ingestion/tests/integration/lookml/lookml_same_name_views_different_file_path.json @@ -142,36 +142,6 @@ "lastRunId": "no-run-id-provided" } }, -{ - "entityType": "dataset", - "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.path1.foo.view.my_view,PROD)", - "changeType": "UPSERT", - "aspectName": "browsePathsV2", - "aspect": { - "json": { - "path": [ - { - "id": "Develop" - }, - { - "id": "urn:li:container:78f22c19304954b15e8adb1d9809975e", - "urn": "urn:li:container:78f22c19304954b15e8adb1d9809975e" - }, - { - "id": "path1" - }, - { - "id": "foo" - } - ] - } - }, - "systemMetadata": { - "lastObserved": 1586847600000, - "runId": "lookml-test", - "lastRunId": "no-run-id-provided" - } -}, { "proposedSnapshot": { "com.linkedin.pegasus2avro.metadata.snapshot.DatasetSnapshot": { @@ -200,6 +170,63 @@ "dataset": "urn:li:dataset:(urn:li:dataPlatform:snowflake,warehouse.default_db.default_schema.my_table,DEV)", "type": "VIEW" } + ], + "fineGrainedLineages": [ + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,warehouse.default_db.default_schema.my_table,DEV),country)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.path1.foo.view.my_view,PROD),country)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,warehouse.default_db.default_schema.my_table,DEV),city)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.path1.foo.view.my_view,PROD),city)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,warehouse.default_db.default_schema.my_table,DEV),is_latest)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.path1.foo.view.my_view,PROD),is_latest)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,warehouse.default_db.default_schema.my_table,DEV),timestamp)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.path1.foo.view.my_view,PROD),timestamp)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,warehouse.default_db.default_schema.my_table,DEV),measurement)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.path1.foo.view.my_view,PROD),average_measurement)" + ], + "confidenceScore": 1.0 + } ] } }, @@ -356,13 +383,25 @@ }, { "entityType": "dataset", - "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.path2.foo.view.my_view,PROD)", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.path1.foo.view.my_view,PROD)", "changeType": "UPSERT", - "aspectName": "subTypes", + "aspectName": "browsePathsV2", "aspect": { "json": { - "typeNames": [ - "View" + "path": [ + { + "id": "Develop" + }, + { + "id": "urn:li:container:78f22c19304954b15e8adb1d9809975e", + "urn": "urn:li:container:78f22c19304954b15e8adb1d9809975e" + }, + { + "id": "path1" + }, + { + "id": "foo" + } ] } }, @@ -376,12 +415,12 @@ "entityType": "dataset", "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.path2.foo.view.my_view,PROD)", "changeType": "UPSERT", - "aspectName": "viewProperties", + "aspectName": "subTypes", "aspect": { "json": { - "materialized": false, - "viewLogic": "SELECT\n is_latest,\n country,\n city,\n timestamp,\n measurement\n FROM\n my_table", - "viewLanguage": "sql" + "typeNames": [ + "View" + ] } }, "systemMetadata": { @@ -394,10 +433,12 @@ "entityType": "dataset", "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.path2.foo.view.my_view,PROD)", "changeType": "UPSERT", - "aspectName": "container", + "aspectName": "viewProperties", "aspect": { "json": { - "container": "urn:li:container:78f22c19304954b15e8adb1d9809975e" + "materialized": false, + "viewLogic": "SELECT\n is_latest,\n country,\n city,\n timestamp,\n measurement\n FROM\n my_table", + "viewLanguage": "sql" } }, "systemMetadata": { @@ -410,24 +451,10 @@ "entityType": "dataset", "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.path2.foo.view.my_view,PROD)", "changeType": "UPSERT", - "aspectName": "browsePathsV2", + "aspectName": "container", "aspect": { "json": { - "path": [ - { - "id": "Develop" - }, - { - "id": "urn:li:container:78f22c19304954b15e8adb1d9809975e", - "urn": "urn:li:container:78f22c19304954b15e8adb1d9809975e" - }, - { - "id": "path2" - }, - { - "id": "foo" - } - ] + "container": "urn:li:container:78f22c19304954b15e8adb1d9809975e" } }, "systemMetadata": { @@ -464,6 +491,52 @@ "dataset": "urn:li:dataset:(urn:li:dataPlatform:snowflake,warehouse.default_db.default_schema.my_table,DEV)", "type": "VIEW" } + ], + "fineGrainedLineages": [ + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,warehouse.default_db.default_schema.my_table,DEV),city)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.path2.foo.view.my_view,PROD),city)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,warehouse.default_db.default_schema.my_table,DEV),is_latest)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.path2.foo.view.my_view,PROD),is_latest)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,warehouse.default_db.default_schema.my_table,DEV),timestamp)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.path2.foo.view.my_view,PROD),timestamp)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,warehouse.default_db.default_schema.my_table,DEV),measurement)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.path2.foo.view.my_view,PROD),average_measurement)" + ], + "confidenceScore": 1.0 + } ] } }, @@ -597,6 +670,36 @@ "lastRunId": "no-run-id-provided" } }, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.path2.foo.view.my_view,PROD)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "Develop" + }, + { + "id": "urn:li:container:78f22c19304954b15e8adb1d9809975e", + "urn": "urn:li:container:78f22c19304954b15e8adb1d9809975e" + }, + { + "id": "path2" + }, + { + "id": "foo" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1586847600000, + "runId": "lookml-test", + "lastRunId": "no-run-id-provided" + } +}, { "proposedSnapshot": { "com.linkedin.pegasus2avro.metadata.snapshot.TagSnapshot": { diff --git a/metadata-ingestion/tests/integration/lookml/refinements_ingestion_golden.json b/metadata-ingestion/tests/integration/lookml/refinements_ingestion_golden.json index 16e901125e4517..7265ee3c6c62b9 100644 --- a/metadata-ingestion/tests/integration/lookml/refinements_ingestion_golden.json +++ b/metadata-ingestion/tests/integration/lookml/refinements_ingestion_golden.json @@ -167,9 +167,66 @@ "time": 1586847600000, "actor": "urn:li:corpuser:datahub" }, - "dataset": "urn:li:dataset:(urn:li:dataPlatform:conn,..my_table,PROD)", + "dataset": "urn:li:dataset:(urn:li:dataPlatform:postgres,my_table,PROD)", "type": "VIEW" } + ], + "fineGrainedLineages": [ + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:postgres,my_table,PROD),country)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.foo.view.my_view,PROD),country)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:postgres,my_table,PROD),city)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.foo.view.my_view,PROD),city)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:postgres,my_table,PROD),is_latest)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.foo.view.my_view,PROD),is_latest)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:postgres,my_table,PROD),timestamp)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.foo.view.my_view,PROD),timestamp)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:postgres,my_table,PROD),measurement)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.foo.view.my_view,PROD),average_measurement)" + ], + "confidenceScore": 1.0 + } ] } }, @@ -428,9 +485,55 @@ "time": 1586847600000, "actor": "urn:li:corpuser:datahub" }, - "dataset": "urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.bar.view.my_view,PROD)", + "dataset": "urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.foo.view.my_view,PROD)", "type": "VIEW" } + ], + "fineGrainedLineages": [ + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.foo.view.my_view,PROD),country)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.bar.view.my_derived_view,PROD),country)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.foo.view.my_view,PROD),city)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.bar.view.my_derived_view,PROD),city)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.foo.view.my_view,PROD),timestamp)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.bar.view.my_derived_view,PROD),timestamp)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.foo.view.my_view,PROD),measurement)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.bar.view.my_derived_view,PROD),average_measurement)" + ], + "confidenceScore": 1.0 + } ] } }, @@ -668,7 +771,7 @@ "time": 1586847600000, "actor": "urn:li:corpuser:datahub" }, - "dataset": "urn:li:dataset:(urn:li:dataPlatform:conn,.looker_schema.include_able,PROD)", + "dataset": "urn:li:dataset:(urn:li:dataPlatform:postgres,.looker_schema.include_able,PROD)", "type": "VIEW" } ] @@ -797,7 +900,7 @@ "time": 1586847600000, "actor": "urn:li:corpuser:datahub" }, - "dataset": "urn:li:dataset:(urn:li:dataPlatform:conn,.looker_schema.events,PROD)", + "dataset": "urn:li:dataset:(urn:li:dataPlatform:postgres,.looker_schema.events,PROD)", "type": "VIEW" } ] @@ -926,7 +1029,7 @@ "time": 1586847600000, "actor": "urn:li:corpuser:datahub" }, - "dataset": "urn:li:dataset:(urn:li:dataPlatform:conn,.looker_schema.events,PROD)", + "dataset": "urn:li:dataset:(urn:li:dataPlatform:postgres,.looker_schema.events,PROD)", "type": "VIEW" } ], @@ -934,7 +1037,7 @@ { "upstreamType": "FIELD_SET", "upstreams": [ - "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:conn,.looker_schema.events,PROD),additional_measure)" + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:postgres,.looker_schema.events,PROD),additional_measure)" ], "downstreamType": "FIELD", "downstreams": [ @@ -1113,7 +1216,7 @@ "time": 1586847600000, "actor": "urn:li:corpuser:datahub" }, - "dataset": "urn:li:dataset:(urn:li:dataPlatform:conn,..autodetect_sql_name_based_on_view_name,PROD)", + "dataset": "urn:li:dataset:(urn:li:dataPlatform:postgres,..autodetect_sql_name_based_on_view_name,PROD)", "type": "VIEW" } ] @@ -1242,7 +1345,7 @@ "time": 1586847600000, "actor": "urn:li:corpuser:datahub" }, - "dataset": "urn:li:dataset:(urn:li:dataPlatform:conn,.looker_schema.include_able,PROD)", + "dataset": "urn:li:dataset:(urn:li:dataPlatform:postgres,.looker_schema.include_able,PROD)", "type": "VIEW" } ] @@ -1320,7 +1423,7 @@ "aspect": { "json": { "materialized": false, - "viewLogic": "date DATE encode ZSTD, \n platform VARCHAR(20) encode ZSTD AS aliased_platform, \n country VARCHAR(20) encode ZSTD", + "viewLogic": "SELECT date AS DATE,\n platform AS aliased_platform,\n country", "viewLanguage": "sql" } }, @@ -1371,9 +1474,44 @@ "time": 1586847600000, "actor": "urn:li:corpuser:datahub" }, - "dataset": "urn:li:dataset:(urn:li:dataPlatform:conn,..fragment_derived_view,PROD)", + "dataset": "urn:li:dataset:(urn:li:dataPlatform:postgres,fragment_derived_view,PROD)", "type": "VIEW" } + ], + "fineGrainedLineages": [ + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:postgres,fragment_derived_view,PROD),date)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.nested.fragment_derived.view.fragment_derived_view,PROD),date)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:postgres,fragment_derived_view,PROD),platform)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.nested.fragment_derived.view.fragment_derived_view,PROD),aliased_platform)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:postgres,fragment_derived_view,PROD),country)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.nested.fragment_derived.view.fragment_derived_view,PROD),country)" + ], + "confidenceScore": 1.0 + } ] } }, @@ -1398,7 +1536,7 @@ }, "fields": [ { - "fieldPath": "aliased_platform", + "fieldPath": "date", "nullable": false, "description": "", "label": "", @@ -1409,13 +1547,10 @@ }, "nativeDataType": "unknown", "recursive": false, - "globalTags": { - "tags": [] - }, "isPartOfKey": false }, { - "fieldPath": "country", + "fieldPath": "aliased_platform", "nullable": false, "description": "", "label": "", @@ -1426,13 +1561,10 @@ }, "nativeDataType": "unknown", "recursive": false, - "globalTags": { - "tags": [] - }, "isPartOfKey": false }, { - "fieldPath": "date", + "fieldPath": "country", "nullable": false, "description": "", "label": "", @@ -1443,9 +1575,6 @@ }, "nativeDataType": "unknown", "recursive": false, - "globalTags": { - "tags": [] - }, "isPartOfKey": false } ], @@ -1527,7 +1656,7 @@ "aspect": { "json": { "materialized": false, - "viewLogic": "SELECT\n customer_id,\n SUM(sale_price) AS lifetime_spend\n FROM\n order\n WHERE\n {% condition order_region %} order.region {% endcondition %}\n GROUP BY 1", + "viewLogic": "SELECT\n customer_id,\n SUM(sale_price) AS lifetime_spend\n FROM\n order\n WHERE\n order.region='ap-south-1'\n GROUP BY 1", "viewLanguage": "sql" } }, @@ -1578,12 +1707,88 @@ "time": 1586847600000, "actor": "urn:li:corpuser:datahub" }, - "dataset": "urn:li:dataset:(urn:li:dataPlatform:conn,..order,PROD)", + "dataset": "urn:li:dataset:(urn:li:dataPlatform:postgres,order,PROD)", "type": "VIEW" } + ], + "fineGrainedLineages": [ + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:postgres,order,PROD),customer_id)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.liquid.view.customer_facts,PROD),customer_id)" + ], + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:postgres,order,PROD),sale_price)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.liquid.view.customer_facts,PROD),lifetime_spend)" + ], + "confidenceScore": 1.0 + } ] } }, + { + "com.linkedin.pegasus2avro.schema.SchemaMetadata": { + "schemaName": "customer_facts", + "platform": "urn:li:dataPlatform:looker", + "version": 0, + "created": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "hash": "", + "platformSchema": { + "com.linkedin.pegasus2avro.schema.OtherSchema": { + "rawSchema": "" + } + }, + "fields": [ + { + "fieldPath": "customer_id", + "nullable": false, + "description": "", + "label": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NullType": {} + } + }, + "nativeDataType": "unknown", + "recursive": false, + "isPartOfKey": false + }, + { + "fieldPath": "lifetime_spend", + "nullable": false, + "description": "", + "label": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NullType": {} + } + }, + "nativeDataType": "unknown", + "recursive": false, + "isPartOfKey": false + } + ], + "primaryKeys": [] + } + }, { "com.linkedin.pegasus2avro.dataset.DatasetProperties": { "customProperties": { @@ -1707,7 +1912,7 @@ "time": 1586847600000, "actor": "urn:li:corpuser:datahub" }, - "dataset": "urn:li:dataset:(urn:li:dataPlatform:conn,.ecommerce.ability,PROD)", + "dataset": "urn:li:dataset:(urn:li:dataPlatform:postgres,.ecommerce.ability,PROD)", "type": "VIEW" } ], @@ -1715,7 +1920,7 @@ { "upstreamType": "FIELD_SET", "upstreams": [ - "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:conn,.ecommerce.ability,PROD),pk)" + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:postgres,.ecommerce.ability,PROD),pk)" ], "downstreamType": "FIELD", "downstreams": [ @@ -1726,7 +1931,7 @@ { "upstreamType": "FIELD_SET", "upstreams": [ - "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:conn,.ecommerce.ability,PROD),count)" + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:postgres,.ecommerce.ability,PROD),count)" ], "downstreamType": "FIELD", "downstreams": [ @@ -1926,7 +2131,7 @@ "time": 1586847600000, "actor": "urn:li:corpuser:datahub" }, - "dataset": "urn:li:dataset:(urn:li:dataPlatform:conn,..owners,PROD)", + "dataset": "urn:li:dataset:(urn:li:dataPlatform:postgres,..owners,PROD)", "type": "VIEW" } ], @@ -1934,7 +2139,7 @@ { "upstreamType": "FIELD_SET", "upstreams": [ - "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:conn,..owners,PROD),id)" + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:postgres,..owners,PROD),id)" ], "downstreamType": "FIELD", "downstreams": [ @@ -1945,7 +2150,7 @@ { "upstreamType": "FIELD_SET", "upstreams": [ - "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:conn,..owners,PROD),owner_name)" + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:postgres,..owners,PROD),owner_name)" ], "downstreamType": "FIELD", "downstreams": [ @@ -1956,7 +2161,7 @@ { "upstreamType": "FIELD_SET", "upstreams": [ - "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:conn,..owners,PROD),owner_name)" + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:postgres,..owners,PROD),owner_name)" ], "downstreamType": "FIELD", "downstreams": [ @@ -2462,7 +2667,7 @@ "time": 1586847600000, "actor": "urn:li:corpuser:datahub" }, - "dataset": "urn:li:dataset:(urn:li:dataPlatform:conn,.flightstats.accidents,PROD)", + "dataset": "urn:li:dataset:(urn:li:dataPlatform:postgres,.flightstats.accidents,PROD)", "type": "VIEW" } ], @@ -2470,7 +2675,7 @@ { "upstreamType": "FIELD_SET", "upstreams": [ - "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:conn,.flightstats.accidents,PROD),id)" + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:postgres,.flightstats.accidents,PROD),id)" ], "downstreamType": "FIELD", "downstreams": [ diff --git a/metadata-ingestion/tests/integration/lookml/test_lookml.py b/metadata-ingestion/tests/integration/lookml/test_lookml.py index 1c1f0fec3eebb9..9e051995d0b940 100644 --- a/metadata-ingestion/tests/integration/lookml/test_lookml.py +++ b/metadata-ingestion/tests/integration/lookml/test_lookml.py @@ -12,6 +12,10 @@ from datahub.configuration.common import PipelineExecutionError from datahub.ingestion.run.pipeline import Pipeline from datahub.ingestion.source.file import read_metadata_file +from datahub.ingestion.source.looker.looker_template_language import ( + SpecialVariable, + resolve_liquid_variable, +) from datahub.ingestion.source.looker.lookml_source import ( LookerModel, LookerRefinementResolver, @@ -40,12 +44,13 @@ def get_default_recipe(output_file_path, base_folder_path): "type": "lookml", "config": { "base_folder": base_folder_path, - "connection_to_platform_map": {"my_connection": "conn"}, + "connection_to_platform_map": {"my_connection": "postgres"}, "parse_table_names_from_sql": True, "tag_measures_and_dimensions": False, "project_name": "lkml_samples", "model_pattern": {"deny": ["data2"]}, "emit_reachable_views_only": False, + "liquid_variable": {"order_region": "ap-south-1"}, }, }, "sink": { @@ -63,9 +68,9 @@ def test_lookml_ingest(pytestconfig, tmp_path, mock_time): test_resources_dir = pytestconfig.rootpath / "tests/integration/lookml" mce_out_file = "expected_output.json" - # Note this config below is known to create "bad" lineage since the config author has not provided enough information - # to resolve relative table names (which are not fully qualified) - # We keep this check just to validate that ingestion doesn't croak on this config + # Note this config below is known to create "bad" lineage since the config author has not provided enough + # information to resolve relative table names (which are not fully qualified) We keep this check just to validate + # that ingestion doesn't croak on this config pipeline = Pipeline.create( get_default_recipe( @@ -488,6 +493,9 @@ def ingestion_test( "model_pattern": {"deny": ["data2"]}, "emit_reachable_views_only": False, "process_refinements": False, + "liquid_variable": { + "order_region": "ap-south-1", + }, }, }, "sink": { @@ -868,6 +876,7 @@ def test_manifest_parser(pytestconfig: pytest.Config) -> None: @freeze_time(FROZEN_TIME) def test_duplicate_field_ingest(pytestconfig, tmp_path, mock_time): + test_resources_dir = pytestconfig.rootpath / "tests/integration/lookml" mce_out_file = "duplicate_ingest_mces_output.json" @@ -887,3 +896,139 @@ def test_duplicate_field_ingest(pytestconfig, tmp_path, mock_time): output_path=tmp_path / mce_out_file, golden_path=golden_path, ) + + +@freeze_time(FROZEN_TIME) +def test_view_to_view_lineage_and_liquid_template(pytestconfig, tmp_path, mock_time): + test_resources_dir = pytestconfig.rootpath / "tests/integration/lookml" + mce_out_file = "vv_lineage_liquid_template_golden.json" + + new_recipe = get_default_recipe( + f"{tmp_path}/{mce_out_file}", + f"{test_resources_dir}/vv-lineage-and-liquid-templates", + ) + + new_recipe["source"]["config"]["liquid_variable"] = { + "_user_attributes": { + "looker_env": "dev", + "dev_database_prefix": "employee", + "dev_schema_prefix": "public", + }, + "dw_eff_dt_date": { + "_is_selected": True, + }, + "source_region": "ap-south-1", + } + + pipeline = Pipeline.create(new_recipe) + pipeline.run() + pipeline.pretty_print_summary() + pipeline.raise_from_status(raise_warnings=True) + + golden_path = test_resources_dir / "vv_lineage_liquid_template_golden.json" + mce_helpers.check_golden_file( + pytestconfig, + output_path=tmp_path / mce_out_file, + golden_path=golden_path, + ) + + +@freeze_time(FROZEN_TIME) +def test_special_liquid_variables(): + text: str = """ + SELECT + employee_id, + employee_name, + {% if dw_eff_dt_date._is_selected or finance_dw_eff_dt_date._is_selected %} + prod_core.data.r_metric_summary_v2 + {% elsif dw_eff_dt_week._is_selected or finance_dw_eff_dt_week._in_query %} + prod_core.data.r_metric_summary_v3 + {% elsif dw_eff_dt_week._is_selected or finance_dw_eff_dt_week._is_filtered %} + prod_core.data.r_metric_summary_v4 + {% else %} + 'default_table' as source + {% endif %}, + employee_income + FROM source_table + """ + input_liquid_variable: dict = {} + + expected_liquid_variable: dict = { + **input_liquid_variable, + "dw_eff_dt_date": {"_is_selected": True}, + "finance_dw_eff_dt_date": {"_is_selected": True}, + "dw_eff_dt_week": {"_is_selected": True}, + "finance_dw_eff_dt_week": { + "_in_query": True, + "_is_filtered": True, + }, + } + + actual_liquid_variable = SpecialVariable( + input_liquid_variable + ).liquid_variable_with_default(text) + assert ( + expected_liquid_variable == actual_liquid_variable + ) # Here new keys with default value should get added + + # change input + input_liquid_variable = { + "finance_dw_eff_dt_week": {"_is_filtered": False}, + } + + expected_liquid_variable = { + **input_liquid_variable, + "dw_eff_dt_date": {"_is_selected": True}, + "finance_dw_eff_dt_date": {"_is_selected": True}, + "dw_eff_dt_week": {"_is_selected": True}, + "finance_dw_eff_dt_week": { + "_in_query": True, + "_is_filtered": False, + }, + } + + actual_liquid_variable = SpecialVariable( + input_liquid_variable + ).liquid_variable_with_default(text) + assert ( + expected_liquid_variable == actual_liquid_variable + ) # should not overwrite the actual value present in + # input_liquid_variable + + # Match template after resolution of liquid variables + actual_text = resolve_liquid_variable( + text=text, + liquid_variable=input_liquid_variable, + ) + + expected_text: str = ( + "\n SELECT\n employee_id,\n employee_name,\n \n " + "prod_core.data.r_metric_summary_v2\n ,\n employee_income\n FROM " + "source_table\n " + ) + assert actual_text == expected_text + + +@freeze_time(FROZEN_TIME) +def test_field_tag_ingest(pytestconfig, tmp_path, mock_time): + test_resources_dir = pytestconfig.rootpath / "tests/integration/lookml" + mce_out_file = "field_tag_mces_output.json" + + new_recipe = get_default_recipe( + f"{tmp_path}/{mce_out_file}", + f"{test_resources_dir}/lkml_samples_duplicate_field", + ) + + new_recipe["source"]["config"]["tag_measures_and_dimensions"] = True + + pipeline = Pipeline.create(new_recipe) + pipeline.run() + pipeline.pretty_print_summary() + pipeline.raise_from_status(raise_warnings=True) + + golden_path = test_resources_dir / "field_tag_ingestion_golden.json" + mce_helpers.check_golden_file( + pytestconfig, + output_path=tmp_path / mce_out_file, + golden_path=golden_path, + ) diff --git a/metadata-ingestion/tests/integration/lookml/vv-lineage-and-liquid-templates/activity_logs.view.lkml b/metadata-ingestion/tests/integration/lookml/vv-lineage-and-liquid-templates/activity_logs.view.lkml new file mode 100644 index 00000000000000..f0e2dec6e46782 --- /dev/null +++ b/metadata-ingestion/tests/integration/lookml/vv-lineage-and-liquid-templates/activity_logs.view.lkml @@ -0,0 +1,18 @@ +view: activity_logs { + sql_table_name: + {% if _user_attributes['looker_env'] == 'dev' %} + {{ _user_attributes['dev_database_prefix'] }}analytics.{{ _user_attributes['dev_schema_prefix'] }}staging_app.stg_app__activity_logs + {% elsif _user_attributes['looker_env'] == 'prod' %} + analytics.staging_app.stg_app__activity_logs + {% else %} + analytics.staging_app.stg_app__activity_logs + {% endif %} + ;; + + dimension: generated_message_id { + group_label: "IDs" + primary_key: yes + type: number + sql: ${TABLE}."GENERATED_MESSAGE_ID" ;; + } +} diff --git a/metadata-ingestion/tests/integration/lookml/vv-lineage-and-liquid-templates/data.model.lkml b/metadata-ingestion/tests/integration/lookml/vv-lineage-and-liquid-templates/data.model.lkml new file mode 100644 index 00000000000000..ea55512c5ca06e --- /dev/null +++ b/metadata-ingestion/tests/integration/lookml/vv-lineage-and-liquid-templates/data.model.lkml @@ -0,0 +1,22 @@ +connection: "my_connection" + +include: "activity_logs.view.lkml" +include: "employee_income_source.view.lkml" +include: "employee_total_income.view.lkml" +include: "top_10_employee_income_source.view.lkml" +include: "employee_tax_report.view.lkml" + +explore: activity_logs { +} + +explore: employee_income_source { +} + +explore: employee_total_income { +} + +explore: top_10_employee_income_source { +} + +explore: employee_tax_report { +} \ No newline at end of file diff --git a/metadata-ingestion/tests/integration/lookml/vv-lineage-and-liquid-templates/employee_income_source.view.lkml b/metadata-ingestion/tests/integration/lookml/vv-lineage-and-liquid-templates/employee_income_source.view.lkml new file mode 100644 index 00000000000000..f4a443ab115374 --- /dev/null +++ b/metadata-ingestion/tests/integration/lookml/vv-lineage-and-liquid-templates/employee_income_source.view.lkml @@ -0,0 +1,40 @@ +view: employee_income_source { + derived_table: { + sql: SELECT + employee_id, + employee_name, + {% if dw_eff_dt_date._is_selected or finance_dw_eff_dt_date._is_selected %} + prod_core.data.r_metric_summary_v2 + {% elsif dw_eff_dt_week._is_selected or finance_dw_eff_dt_week._is_selected %} + prod_core.data.r_metric_summary_v3 + {% else %} + 'default_table' as source + {% endif %}, + employee_income + FROM source_table + WHERE + {% condition source_region %} source_table.region {% endcondition %} + ;; + } + + dimension: id { + type: number + sql: ${TABLE}.employee_id;; + } + + dimension: name { + type: string + sql: ${TABLE}.employee_name;; + } + + dimension: source { + type: string + sql: ${TABLE}.source ;; + } + + dimension: income { + type: number + sql: ${TABLE}.employee_income ;; + } + +} diff --git a/metadata-ingestion/tests/integration/lookml/vv-lineage-and-liquid-templates/employee_tax_report.view.lkml b/metadata-ingestion/tests/integration/lookml/vv-lineage-and-liquid-templates/employee_tax_report.view.lkml new file mode 100644 index 00000000000000..6608921e6f0953 --- /dev/null +++ b/metadata-ingestion/tests/integration/lookml/vv-lineage-and-liquid-templates/employee_tax_report.view.lkml @@ -0,0 +1,18 @@ +view: employee_tax_report { + sql_table_name: data-warehouse.finance.form-16;; + + dimension: id { + type: number + sql: ${TABLE}.id;; + } + + dimension: name { + type: string + sql: ${TABLE}.name;; + } + + measure: taxable_income { + type: sum + sql: ${TABLE}.tax;; + } +} diff --git a/metadata-ingestion/tests/integration/lookml/vv-lineage-and-liquid-templates/employee_total_income.view.lkml b/metadata-ingestion/tests/integration/lookml/vv-lineage-and-liquid-templates/employee_total_income.view.lkml new file mode 100644 index 00000000000000..18a1ab660b3a1b --- /dev/null +++ b/metadata-ingestion/tests/integration/lookml/vv-lineage-and-liquid-templates/employee_total_income.view.lkml @@ -0,0 +1,18 @@ +view: employee_total_income { + sql_table_name: ${employee_income_source.SQL_TABLE_NAME} ;; + + dimension: id { + type: number + sql: ${TABLE}.id;; + } + + dimension: name { + type: string + sql: ${TABLE}.name;; + } + + measure: total_income { + type: sum + sql: ${TABLE}.income;; + } +} diff --git a/metadata-ingestion/tests/integration/lookml/vv-lineage-and-liquid-templates/top_10_employee_income_source.view.lkml b/metadata-ingestion/tests/integration/lookml/vv-lineage-and-liquid-templates/top_10_employee_income_source.view.lkml new file mode 100644 index 00000000000000..5371ed5e3ca569 --- /dev/null +++ b/metadata-ingestion/tests/integration/lookml/vv-lineage-and-liquid-templates/top_10_employee_income_source.view.lkml @@ -0,0 +1,26 @@ +view: top_10_employee_income_source { + derived_table: { + sql: SELECT id, + name, + source + FROM ${employee_income_source.SQL_TABLE_NAME} + ORDER BY source desc + LIMIT 10 + ;; + } + + dimension: id { + type: number + sql: ${TABLE}.id ;; + } + + dimension: name { + type: string + sql: ${TABLE}.name ;; + } + + dimension: source { + type: string + sql: ${TABLE}.source ;; + } +} \ No newline at end of file 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"entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.view.employee_tax_report,PROD)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "Develop" + }, + { + "id": "urn:li:container:78f22c19304954b15e8adb1d9809975e", + "urn": "urn:li:container:78f22c19304954b15e8adb1d9809975e" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1586847600000, + "runId": "lookml-test", + "lastRunId": "no-run-id-provided" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:Dimension", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "Dimension" + } + }, + "systemMetadata": { + "lastObserved": 1586847600000, + "runId": "lookml-test", + "lastRunId": "no-run-id-provided" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:Measure", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "Measure" + } + }, + "systemMetadata": { + "lastObserved": 1586847600000, + "runId": "lookml-test", + "lastRunId": "no-run-id-provided" + } +} +] \ No newline at end of file diff --git a/metadata-ingestion/tests/integration/metabase/metabase_mces_golden.json b/metadata-ingestion/tests/integration/metabase/metabase_mces_golden.json index 96ba9fd9c674f2..976fe5f77c929b 100644 --- a/metadata-ingestion/tests/integration/metabase/metabase_mces_golden.json +++ b/metadata-ingestion/tests/integration/metabase/metabase_mces_golden.json @@ -15,8 +15,8 @@ "description": "", "lastModified": { "created": { - "time": 1639417592792, - "actor": "urn:li:corpuser:admin@metabase.com" + "time": 0, + "actor": "urn:li:corpuser:unknown" }, "lastModified": { "time": 1639417592792, @@ -82,8 +82,8 @@ "description": "", "lastModified": { "created": { - "time": 1636614000000, - "actor": "urn:li:corpuser:admin@metabase.com" + "time": 0, + "actor": "urn:li:corpuser:unknown" }, "lastModified": { "time": 1636614000000, @@ -140,8 +140,8 @@ "description": "", "lastModified": { "created": { - "time": 1685628119636, - "actor": "urn:li:corpuser:john.doe@example.com" + "time": 0, + "actor": "urn:li:corpuser:unknown" }, "lastModified": { "time": 1685628119636, diff --git a/metadata-ingestion/tests/integration/metabase/test_metabase.py b/metadata-ingestion/tests/integration/metabase/test_metabase.py index 5c433f14f380ff..2d67f0ca5223f8 100644 --- a/metadata-ingestion/tests/integration/metabase/test_metabase.py +++ b/metadata-ingestion/tests/integration/metabase/test_metabase.py @@ -163,7 +163,7 @@ def test_pipeline(pytestconfig, tmp_path): @freeze_time(FROZEN_TIME) -def test_mode_ingest_success( +def test_metabase_ingest_success( pytestconfig, tmp_path, test_pipeline, mock_datahub_graph, default_json_response_map ): with patch( @@ -260,7 +260,7 @@ def test_stateful_ingestion( @freeze_time(FROZEN_TIME) -def test_mode_ingest_failure(pytestconfig, tmp_path, default_json_response_map): +def test_metabase_ingest_failure(pytestconfig, tmp_path, default_json_response_map): with patch( "datahub.ingestion.source.metabase.requests.session", side_effect=MockResponse.build_mocked_requests_failure( diff --git a/metadata-ingestion/tests/integration/mode/test_mode.py b/metadata-ingestion/tests/integration/mode/test_mode.py index def7277494fe7e..0346767b05d253 100644 --- a/metadata-ingestion/tests/integration/mode/test_mode.py +++ b/metadata-ingestion/tests/integration/mode/test_mode.py @@ -139,7 +139,3 @@ def test_mode_ingest_failure(pytestconfig, tmp_path): except PipelineExecutionError as exec_error: assert exec_error.args[0] == "Source reported errors" assert len(exec_error.args[1].failures) == 1 - assert ( - list(exec_error.args[1].failures.keys())[0] - == "mode-report-75737b70402e" - ) diff --git a/metadata-ingestion/tests/integration/powerbi/golden_test_admin_only.json b/metadata-ingestion/tests/integration/powerbi/golden_test_admin_only.json index 4ca5cc4afd00d8..29e9ccebf067ec 100644 --- a/metadata-ingestion/tests/integration/powerbi/golden_test_admin_only.json +++ b/metadata-ingestion/tests/integration/powerbi/golden_test_admin_only.json @@ -390,7 +390,7 @@ "aspect": { "json": { "materialized": false, - "viewLogic": "let\n Source = Oracle.Database(\"localhost:1521/salesdb.GSLAB.COM\", [HierarchicalNavigation=true]), HR = Source{[Schema=\"HR\"]}[Data], EMPLOYEES1 = HR{[Name=\"EMPLOYEES\"]}[Data] \n in EMPLOYEES1", + "viewLogic": "let\n Source = Oracle.Database(\"localhost:1521/salesdb.domain.com\", [HierarchicalNavigation=true]), HR = Source{[Schema=\"HR\"]}[Data], EMPLOYEES1 = HR{[Name=\"EMPLOYEES\"]}[Data] \n in EMPLOYEES1", "viewLanguage": "m_query" } }, @@ -1709,7 +1709,7 @@ "aspect": { "json": { "materialized": false, - "viewLogic": "let\n Source = Oracle.Database(\"localhost:1521/salesdb.GSLAB.COM\", [HierarchicalNavigation=true]), HR = Source{[Schema=\"HR\"]}[Data], EMPLOYEES1 = HR{[Name=\"EMPLOYEES\"]}[Data] \n in EMPLOYEES1", + "viewLogic": "let\n Source = Oracle.Database(\"localhost:1521/salesdb.domain.com\", [HierarchicalNavigation=true]), HR = Source{[Schema=\"HR\"]}[Data], EMPLOYEES1 = HR{[Name=\"EMPLOYEES\"]}[Data] \n in EMPLOYEES1", "viewLanguage": "m_query" } }, diff --git a/metadata-ingestion/tests/integration/powerbi/golden_test_cll.json b/metadata-ingestion/tests/integration/powerbi/golden_test_cll.json index 4a08c6658c3950..937cad0b9ec17e 100644 --- a/metadata-ingestion/tests/integration/powerbi/golden_test_cll.json +++ b/metadata-ingestion/tests/integration/powerbi/golden_test_cll.json @@ -483,7 +483,7 @@ "aspect": { "json": { "materialized": false, - "viewLogic": "let\n Source = Oracle.Database(\"localhost:1521/salesdb.GSLAB.COM\", [HierarchicalNavigation=true]), HR = Source{[Schema=\"HR\"]}[Data], EMPLOYEES1 = HR{[Name=\"EMPLOYEES\"]}[Data] \n in EMPLOYEES1", + "viewLogic": "let\n Source = Oracle.Database(\"localhost:1521/salesdb.domain.com\", [HierarchicalNavigation=true]), HR = Source{[Schema=\"HR\"]}[Data], EMPLOYEES1 = HR{[Name=\"EMPLOYEES\"]}[Data] \n in EMPLOYEES1", "viewLanguage": "m_query" } }, diff --git a/metadata-ingestion/tests/integration/powerbi/golden_test_container.json b/metadata-ingestion/tests/integration/powerbi/golden_test_container.json index b65ba71c80159a..501ec284097b39 100644 --- a/metadata-ingestion/tests/integration/powerbi/golden_test_container.json +++ b/metadata-ingestion/tests/integration/powerbi/golden_test_container.json @@ -780,7 +780,7 @@ "aspect": { "json": { "materialized": false, - "viewLogic": "let\n Source = Oracle.Database(\"localhost:1521/salesdb.GSLAB.COM\", [HierarchicalNavigation=true]), HR = Source{[Schema=\"HR\"]}[Data], EMPLOYEES1 = HR{[Name=\"EMPLOYEES\"]}[Data] \n in EMPLOYEES1", + "viewLogic": "let\n Source = Oracle.Database(\"localhost:1521/salesdb.domain.com\", [HierarchicalNavigation=true]), HR = Source{[Schema=\"HR\"]}[Data], EMPLOYEES1 = HR{[Name=\"EMPLOYEES\"]}[Data] \n in EMPLOYEES1", "viewLanguage": "m_query" } }, @@ -2213,7 +2213,7 @@ "aspect": { "json": { "materialized": false, - "viewLogic": "let\n Source = Oracle.Database(\"localhost:1521/salesdb.GSLAB.COM\", [HierarchicalNavigation=true]), HR = Source{[Schema=\"HR\"]}[Data], EMPLOYEES1 = HR{[Name=\"EMPLOYEES\"]}[Data] \n in EMPLOYEES1", + "viewLogic": "let\n Source = Oracle.Database(\"localhost:1521/salesdb.domain.com\", [HierarchicalNavigation=true]), HR = Source{[Schema=\"HR\"]}[Data], EMPLOYEES1 = HR{[Name=\"EMPLOYEES\"]}[Data] \n in EMPLOYEES1", "viewLanguage": "m_query" } }, diff --git a/metadata-ingestion/tests/integration/powerbi/golden_test_disabled_ownership.json b/metadata-ingestion/tests/integration/powerbi/golden_test_disabled_ownership.json index 43a5aad3cd9674..74779ac7a0577e 100644 --- a/metadata-ingestion/tests/integration/powerbi/golden_test_disabled_ownership.json +++ b/metadata-ingestion/tests/integration/powerbi/golden_test_disabled_ownership.json @@ -382,7 +382,7 @@ "aspect": { "json": { "materialized": false, - "viewLogic": "let\n Source = Oracle.Database(\"localhost:1521/salesdb.GSLAB.COM\", [HierarchicalNavigation=true]), HR = Source{[Schema=\"HR\"]}[Data], EMPLOYEES1 = HR{[Name=\"EMPLOYEES\"]}[Data] \n in EMPLOYEES1", + "viewLogic": "let\n Source = Oracle.Database(\"localhost:1521/salesdb.domain.com\", [HierarchicalNavigation=true]), HR = Source{[Schema=\"HR\"]}[Data], EMPLOYEES1 = HR{[Name=\"EMPLOYEES\"]}[Data] \n in EMPLOYEES1", "viewLanguage": "m_query" } }, diff --git a/metadata-ingestion/tests/integration/powerbi/golden_test_endorsement.json b/metadata-ingestion/tests/integration/powerbi/golden_test_endorsement.json index cf448776ba4149..442dfd5c8c0825 100644 --- a/metadata-ingestion/tests/integration/powerbi/golden_test_endorsement.json +++ b/metadata-ingestion/tests/integration/powerbi/golden_test_endorsement.json @@ -482,7 +482,7 @@ "aspect": { "json": { "materialized": false, - "viewLogic": "let\n Source = Oracle.Database(\"localhost:1521/salesdb.GSLAB.COM\", [HierarchicalNavigation=true]), HR = Source{[Schema=\"HR\"]}[Data], EMPLOYEES1 = HR{[Name=\"EMPLOYEES\"]}[Data] \n in EMPLOYEES1", + "viewLogic": "let\n Source = Oracle.Database(\"localhost:1521/salesdb.domain.com\", [HierarchicalNavigation=true]), HR = Source{[Schema=\"HR\"]}[Data], EMPLOYEES1 = HR{[Name=\"EMPLOYEES\"]}[Data] \n in EMPLOYEES1", "viewLanguage": "m_query" } }, diff --git a/metadata-ingestion/tests/integration/powerbi/golden_test_ingest.json b/metadata-ingestion/tests/integration/powerbi/golden_test_ingest.json index 566e405a03abbc..2c4ff6ee851f4a 100644 --- a/metadata-ingestion/tests/integration/powerbi/golden_test_ingest.json +++ b/metadata-ingestion/tests/integration/powerbi/golden_test_ingest.json @@ -382,7 +382,7 @@ "aspect": { "json": { "materialized": false, - "viewLogic": "let\n Source = Oracle.Database(\"localhost:1521/salesdb.GSLAB.COM\", [HierarchicalNavigation=true]), HR = Source{[Schema=\"HR\"]}[Data], EMPLOYEES1 = HR{[Name=\"EMPLOYEES\"]}[Data] \n in EMPLOYEES1", + "viewLogic": "let\n Source = Oracle.Database(\"localhost:1521/salesdb.domain.com\", [HierarchicalNavigation=true]), HR = Source{[Schema=\"HR\"]}[Data], EMPLOYEES1 = HR{[Name=\"EMPLOYEES\"]}[Data] \n in EMPLOYEES1", "viewLanguage": "m_query" } }, diff --git a/metadata-ingestion/tests/integration/powerbi/golden_test_lineage.json b/metadata-ingestion/tests/integration/powerbi/golden_test_lineage.json index 4f530acb11c80f..0aea8514559ecb 100644 --- a/metadata-ingestion/tests/integration/powerbi/golden_test_lineage.json +++ b/metadata-ingestion/tests/integration/powerbi/golden_test_lineage.json @@ -465,7 +465,7 @@ "aspect": { "json": { "materialized": false, - "viewLogic": "let\n Source = Oracle.Database(\"localhost:1521/salesdb.GSLAB.COM\", [HierarchicalNavigation=true]), HR = Source{[Schema=\"HR\"]}[Data], EMPLOYEES1 = HR{[Name=\"EMPLOYEES\"]}[Data] \n in EMPLOYEES1", + "viewLogic": "let\n Source = Oracle.Database(\"localhost:1521/salesdb.domain.com\", [HierarchicalNavigation=true]), HR = Source{[Schema=\"HR\"]}[Data], EMPLOYEES1 = HR{[Name=\"EMPLOYEES\"]}[Data] \n in EMPLOYEES1", "viewLanguage": "m_query" } }, diff --git a/metadata-ingestion/tests/integration/powerbi/golden_test_lower_case_urn_ingest.json b/metadata-ingestion/tests/integration/powerbi/golden_test_lower_case_urn_ingest.json index 37ba034b08fe26..22a00236af8c61 100644 --- a/metadata-ingestion/tests/integration/powerbi/golden_test_lower_case_urn_ingest.json +++ b/metadata-ingestion/tests/integration/powerbi/golden_test_lower_case_urn_ingest.json @@ -382,7 +382,7 @@ "aspect": { "json": { "materialized": false, - "viewLogic": "let\n Source = Oracle.Database(\"localhost:1521/salesdb.GSLAB.COM\", [HierarchicalNavigation=true]), HR = Source{[Schema=\"HR\"]}[Data], EMPLOYEES1 = HR{[Name=\"EMPLOYEES\"]}[Data] \n in EMPLOYEES1", + "viewLogic": "let\n Source = Oracle.Database(\"localhost:1521/salesdb.domain.com\", [HierarchicalNavigation=true]), HR = Source{[Schema=\"HR\"]}[Data], EMPLOYEES1 = HR{[Name=\"EMPLOYEES\"]}[Data] \n in EMPLOYEES1", "viewLanguage": "m_query" } }, diff --git a/metadata-ingestion/tests/integration/powerbi/golden_test_platform_instance_ingest.json b/metadata-ingestion/tests/integration/powerbi/golden_test_platform_instance_ingest.json index 12ce114482eeeb..cf5d4df460e231 100644 --- a/metadata-ingestion/tests/integration/powerbi/golden_test_platform_instance_ingest.json +++ b/metadata-ingestion/tests/integration/powerbi/golden_test_platform_instance_ingest.json @@ -382,7 +382,7 @@ "aspect": { "json": { "materialized": false, - "viewLogic": "let\n Source = Oracle.Database(\"localhost:1521/salesdb.GSLAB.COM\", [HierarchicalNavigation=true]), HR = Source{[Schema=\"HR\"]}[Data], EMPLOYEES1 = HR{[Name=\"EMPLOYEES\"]}[Data] \n in EMPLOYEES1", + "viewLogic": "let\n Source = Oracle.Database(\"localhost:1521/salesdb.domain.com\", [HierarchicalNavigation=true]), HR = Source{[Schema=\"HR\"]}[Data], EMPLOYEES1 = HR{[Name=\"EMPLOYEES\"]}[Data] \n in EMPLOYEES1", "viewLanguage": "m_query" } }, diff --git a/metadata-ingestion/tests/integration/powerbi/golden_test_report.json b/metadata-ingestion/tests/integration/powerbi/golden_test_report.json index 43092c4e20acbe..cce9e3f8755ba5 100644 --- a/metadata-ingestion/tests/integration/powerbi/golden_test_report.json +++ b/metadata-ingestion/tests/integration/powerbi/golden_test_report.json @@ -382,7 +382,7 @@ "aspect": { "json": { "materialized": false, - "viewLogic": "let\n Source = Oracle.Database(\"localhost:1521/salesdb.GSLAB.COM\", [HierarchicalNavigation=true]), HR = Source{[Schema=\"HR\"]}[Data], EMPLOYEES1 = HR{[Name=\"EMPLOYEES\"]}[Data] \n in EMPLOYEES1", + "viewLogic": "let\n Source = Oracle.Database(\"localhost:1521/salesdb.domain.com\", [HierarchicalNavigation=true]), HR = Source{[Schema=\"HR\"]}[Data], EMPLOYEES1 = HR{[Name=\"EMPLOYEES\"]}[Data] \n in EMPLOYEES1", "viewLanguage": "m_query" } }, @@ -1493,7 +1493,7 @@ "aspect": { "json": { "materialized": false, - "viewLogic": "let\n Source = Oracle.Database(\"localhost:1521/salesdb.GSLAB.COM\", [HierarchicalNavigation=true]), HR = Source{[Schema=\"HR\"]}[Data], EMPLOYEES1 = HR{[Name=\"EMPLOYEES\"]}[Data] \n in EMPLOYEES1", + "viewLogic": "let\n Source = Oracle.Database(\"localhost:1521/salesdb.domain.com\", [HierarchicalNavigation=true]), HR = Source{[Schema=\"HR\"]}[Data], EMPLOYEES1 = HR{[Name=\"EMPLOYEES\"]}[Data] \n in EMPLOYEES1", "viewLanguage": "m_query" } }, diff --git a/metadata-ingestion/tests/integration/powerbi/golden_test_scan_all_workspaces.json b/metadata-ingestion/tests/integration/powerbi/golden_test_scan_all_workspaces.json index 3c4499765e525b..5e244e0e0f93f7 100644 --- a/metadata-ingestion/tests/integration/powerbi/golden_test_scan_all_workspaces.json +++ b/metadata-ingestion/tests/integration/powerbi/golden_test_scan_all_workspaces.json @@ -382,7 +382,7 @@ "aspect": { "json": { "materialized": false, - "viewLogic": "let\n Source = Oracle.Database(\"localhost:1521/salesdb.GSLAB.COM\", [HierarchicalNavigation=true]), HR = Source{[Schema=\"HR\"]}[Data], EMPLOYEES1 = HR{[Name=\"EMPLOYEES\"]}[Data] \n in EMPLOYEES1", + "viewLogic": "let\n Source = Oracle.Database(\"localhost:1521/salesdb.domain.com\", [HierarchicalNavigation=true]), HR = Source{[Schema=\"HR\"]}[Data], EMPLOYEES1 = HR{[Name=\"EMPLOYEES\"]}[Data] \n in EMPLOYEES1", "viewLanguage": "m_query" } }, diff --git a/metadata-ingestion/tests/integration/powerbi/golden_test_server_to_platform_instance.json b/metadata-ingestion/tests/integration/powerbi/golden_test_server_to_platform_instance.json index 0c6239ae8d3319..8fd8989b81122b 100644 --- a/metadata-ingestion/tests/integration/powerbi/golden_test_server_to_platform_instance.json +++ b/metadata-ingestion/tests/integration/powerbi/golden_test_server_to_platform_instance.json @@ -490,7 +490,7 @@ "aspect": { "json": { "materialized": false, - "viewLogic": "let\n Source = Oracle.Database(\"localhost:1521/salesdb.GSLAB.COM\", [HierarchicalNavigation=true]), HR = Source{[Schema=\"HR\"]}[Data], EMPLOYEES1 = HR{[Name=\"EMPLOYEES\"]}[Data] \n in EMPLOYEES1", + "viewLogic": "let\n Source = Oracle.Database(\"localhost:1521/salesdb.domain.com\", [HierarchicalNavigation=true]), HR = Source{[Schema=\"HR\"]}[Data], EMPLOYEES1 = HR{[Name=\"EMPLOYEES\"]}[Data] \n in EMPLOYEES1", "viewLanguage": "m_query" } }, diff --git a/metadata-ingestion/tests/integration/powerbi/test_admin_only_api.py b/metadata-ingestion/tests/integration/powerbi/test_admin_only_api.py index bb572fe3a7ae5a..91c60825243892 100644 --- a/metadata-ingestion/tests/integration/powerbi/test_admin_only_api.py +++ b/metadata-ingestion/tests/integration/powerbi/test_admin_only_api.py @@ -283,7 +283,7 @@ def register_mock_admin_api(request_mock: Any, override_data: dict = {}) -> None "name": "job-history", "source": [ { - "expression": 'let\n Source = Oracle.Database("localhost:1521/salesdb.GSLAB.COM", [HierarchicalNavigation=true]), HR = Source{[Schema="HR"]}[Data], EMPLOYEES1 = HR{[Name="EMPLOYEES"]}[Data] \n in EMPLOYEES1', + "expression": 'let\n Source = Oracle.Database("localhost:1521/salesdb.domain.com", [HierarchicalNavigation=true]), HR = Source{[Schema="HR"]}[Data], EMPLOYEES1 = HR{[Name="EMPLOYEES"]}[Data] \n in EMPLOYEES1', } ], "datasourceUsages": [ diff --git a/metadata-ingestion/tests/integration/powerbi/test_m_parser.py b/metadata-ingestion/tests/integration/powerbi/test_m_parser.py index 0aa290cecd8fd4..e98b64c011fd83 100644 --- a/metadata-ingestion/tests/integration/powerbi/test_m_parser.py +++ b/metadata-ingestion/tests/integration/powerbi/test_m_parser.py @@ -35,7 +35,7 @@ 'let\n Source = Sql.Database("AUPRDWHDB", "COMMOPSDB", [Query="Select#(lf)*,#(lf)concat((UPPER(REPLACE(SALES_SPECIALIST,\'-\',\'\'))),#(lf)LEFT(CAST(INVOICE_DATE AS DATE),4)+LEFT(RIGHT(CAST(INVOICE_DATE AS DATE),5),2)) AS AGENT_KEY,#(lf)CASE#(lf) WHEN CLASS = \'Software\' and (NOT(PRODUCT in (\'ADV\', \'Adv\') and left(ACCOUNT_ID,2)=\'10\') #(lf) or V_ENTERPRISE_INVOICED_REVENUE.TYPE = \'Manual Adjustment\') THEN INVOICE_AMOUNT#(lf) WHEN V_ENTERPRISE_INVOICED_REVENUE.TYPE IN (\'Recurring\',\'0\') THEN INVOICE_AMOUNT#(lf) ELSE 0#(lf)END as SOFTWARE_INV#(lf)#(lf)from V_ENTERPRISE_INVOICED_REVENUE", CommandTimeout=#duration(0, 1, 30, 0)]),\n #"Added Conditional Column" = Table.AddColumn(Source, "Services", each if [CLASS] = "Services" then [INVOICE_AMOUNT] else 0),\n #"Added Custom" = Table.AddColumn(#"Added Conditional Column", "Advanced New Sites", each if [PRODUCT] = "ADV"\nor [PRODUCT] = "Adv"\nthen [NEW_SITE]\nelse 0)\nin\n #"Added Custom"', 'let\n Source = Snowflake.Databases("ghh48144.snowflakefakecomputing.com","GSL_TEST_WH",[Role="ACCOUNTADMIN"]),\n Source2 = PostgreSQL.Database("localhost", "mics"),\n public_order_date = Source2{[Schema="public",Item="order_date"]}[Data],\n GSL_TEST_DB_Database = Source{[Name="GSL_TEST_DB",Kind="Database"]}[Data],\n PUBLIC_Schema = GSL_TEST_DB_Database{[Name="PUBLIC",Kind="Schema"]}[Data],\n SALES_ANALYST_VIEW_View = PUBLIC_Schema{[Name="SALES_ANALYST_VIEW",Kind="View"]}[Data],\n two_source_table = Table.Combine({public_order_date, SALES_ANALYST_VIEW_View})\n in\n two_source_table', 'let\n Source = PostgreSQL.Database("localhost" , "mics" ),\n public_order_date = Source{[Schema="public",Item="order_date"]}[Data] \n in \n public_order_date', - 'let\n Source = Oracle.Database("localhost:1521/salesdb.GSLAB.COM", [HierarchicalNavigation=true]), HR = Source{[Schema="HR"]}[Data], EMPLOYEES1 = HR{[Name="EMPLOYEES"]}[Data] \n in EMPLOYEES1', + 'let\n Source = Oracle.Database("localhost:1521/salesdb.domain.com", [HierarchicalNavigation=true]), HR = Source{[Schema="HR"]}[Data], EMPLOYEES1 = HR{[Name="EMPLOYEES"]}[Data] \n in EMPLOYEES1', 'let\n Source = Sql.Database("localhost", "library"),\n dbo_book_issue = Source{[Schema="dbo",Item="book_issue"]}[Data]\n in dbo_book_issue', 'let\n Source = Snowflake.Databases("ghh48144.snowflakefakecomputing.com","GSL_TEST_WH",[Role="ACCOUNTADMIN"]),\n GSL_TEST_DB_Database = Source{[Name="GSL_TEST_DB",Kind="Database"]}[Data],\n PUBLIC_Schema = GSL_TEST_DB_Database{[Name="PUBLIC",Kind="Schema"]}[Data],\n SALES_FORECAST_Table = PUBLIC_Schema{[Name="SALES_FORECAST",Kind="Table"]}[Data],\n SALES_ANALYST_Table = PUBLIC_Schema{[Name="SALES_ANALYST",Kind="Table"]}[Data],\n RESULT = Table.Combine({SALES_FORECAST_Table, SALES_ANALYST_Table})\n\nin\n RESULT', 'let\n Source = GoogleBigQuery.Database(),\n #"seraphic-music-344307" = Source{[Name="seraphic-music-344307"]}[Data],\n school_dataset_Schema = #"seraphic-music-344307"{[Name="school_dataset",Kind="Schema"]}[Data],\n first_Table = school_dataset_Schema{[Name="first",Kind="Table"]}[Data]\nin\n first_Table', diff --git a/metadata-ingestion/tests/integration/powerbi/test_powerbi.py b/metadata-ingestion/tests/integration/powerbi/test_powerbi.py index fafa02d5301e0f..06cc40fe7b24c1 100644 --- a/metadata-ingestion/tests/integration/powerbi/test_powerbi.py +++ b/metadata-ingestion/tests/integration/powerbi/test_powerbi.py @@ -393,7 +393,7 @@ def register_mock_api(request_mock: Any, override_data: Optional[dict] = None) - "name": "job-history", "source": [ { - "expression": 'let\n Source = Oracle.Database("localhost:1521/salesdb.GSLAB.COM", [HierarchicalNavigation=true]), HR = Source{[Schema="HR"]}[Data], EMPLOYEES1 = HR{[Name="EMPLOYEES"]}[Data] \n in EMPLOYEES1', + "expression": 'let\n Source = Oracle.Database("localhost:1521/salesdb.domain.com", [HierarchicalNavigation=true]), HR = Source{[Schema="HR"]}[Data], EMPLOYEES1 = HR{[Name="EMPLOYEES"]}[Data] \n in EMPLOYEES1', } ], "datasourceUsages": [ diff --git a/metadata-ingestion/tests/integration/qlik_sense/golden_test_platform_instance_ingest.json b/metadata-ingestion/tests/integration/qlik_sense/golden_test_platform_instance_ingest.json index 6917b833d05a35..089c80f5c4ee73 100644 --- a/metadata-ingestion/tests/integration/qlik_sense/golden_test_platform_instance_ingest.json +++ b/metadata-ingestion/tests/integration/qlik_sense/golden_test_platform_instance_ingest.json @@ -89,10 +89,11 @@ "json": { "owners": [ { - "owner": "urn:li:corpuser:Shubham jagtap", + "owner": "urn:li:corpuser:john doe", "type": "DATAOWNER" } ], + "ownerTypes": {}, "lastModified": { "time": 0, "actor": "urn:li:corpuser:unknown" @@ -100,7 +101,7 @@ } }, "systemMetadata": { - "lastObserved": 1707327546106, + "lastObserved": 1720073671135, "runId": "qlik-sense-test", "lastRunId": "no-run-id-provided" } @@ -319,10 +320,11 @@ "json": { "owners": [ { - "owner": "urn:li:corpuser:Shubham jagtap", + "owner": "urn:li:corpuser:john doe", "type": "DATAOWNER" } ], + "ownerTypes": {}, "lastModified": { "time": 0, "actor": "urn:li:corpuser:unknown" @@ -330,7 +332,7 @@ } }, "systemMetadata": { - "lastObserved": 1707327546129, + "lastObserved": 1720073671192, "runId": "qlik-sense-test", "lastRunId": "no-run-id-provided" } @@ -469,10 +471,11 @@ "json": { "owners": [ { - "owner": "urn:li:corpuser:Shubham jagtap", + "owner": "urn:li:corpuser:john doe", "type": "DATAOWNER" } ], + "ownerTypes": {}, "lastModified": { "time": 0, "actor": "urn:li:corpuser:unknown" @@ -480,7 +483,7 @@ } }, "systemMetadata": { - "lastObserved": 1707327546135, + "lastObserved": 1720073671209, "runId": "qlik-sense-test", "lastRunId": "no-run-id-provided" } @@ -1217,10 +1220,11 @@ "json": { "owners": [ { - "owner": "urn:li:corpuser:Shubham jagtap", + "owner": "urn:li:corpuser:john doe", "type": "DATAOWNER" } ], + "ownerTypes": {}, "lastModified": { "time": 0, "actor": "urn:li:corpuser:unknown" @@ -1228,7 +1232,7 @@ } }, "systemMetadata": { - "lastObserved": 1707327546161, + "lastObserved": 1720073671300, "runId": "qlik-sense-test", "lastRunId": "no-run-id-provided" } @@ -1414,10 +1418,11 @@ "json": { "owners": [ { - "owner": "urn:li:corpuser:Shubham jagtap", + "owner": "urn:li:corpuser:john doe", "type": "DATAOWNER" } ], + "ownerTypes": {}, "lastModified": { "time": 0, "actor": "urn:li:corpuser:unknown" @@ -1425,7 +1430,7 @@ } }, "systemMetadata": { - "lastObserved": 1707327546168, + "lastObserved": 1720073671321, "runId": "qlik-sense-test", "lastRunId": "no-run-id-provided" } diff --git a/metadata-ingestion/tests/integration/qlik_sense/golden_test_qlik_sense_ingest.json b/metadata-ingestion/tests/integration/qlik_sense/golden_test_qlik_sense_ingest.json index 5b47c09a791430..f285fc17a6fb47 100644 --- a/metadata-ingestion/tests/integration/qlik_sense/golden_test_qlik_sense_ingest.json +++ b/metadata-ingestion/tests/integration/qlik_sense/golden_test_qlik_sense_ingest.json @@ -87,10 +87,11 @@ "json": { "owners": [ { - "owner": "urn:li:corpuser:Shubham jagtap", + "owner": "urn:li:corpuser:john doe", "type": "DATAOWNER" } ], + "ownerTypes": {}, "lastModified": { "time": 0, "actor": "urn:li:corpuser:unknown" @@ -98,7 +99,7 @@ } }, "systemMetadata": { - "lastObserved": 1707327442987, + "lastObserved": 1720073670616, "runId": "qlik-sense-test", "lastRunId": "no-run-id-provided" } @@ -303,10 +304,11 @@ "json": { "owners": [ { - "owner": "urn:li:corpuser:Shubham jagtap", + "owner": "urn:li:corpuser:john doe", "type": "DATAOWNER" } ], + "ownerTypes": {}, "lastModified": { "time": 0, "actor": "urn:li:corpuser:unknown" @@ -314,7 +316,7 @@ } }, "systemMetadata": { - "lastObserved": 1707327443016, + "lastObserved": 1720073670661, "runId": "qlik-sense-test", "lastRunId": "no-run-id-provided" } @@ -432,10 +434,11 @@ "json": { "owners": [ { - "owner": "urn:li:corpuser:Shubham jagtap", + "owner": "urn:li:corpuser:john doe", "type": "DATAOWNER" } ], + "ownerTypes": {}, "lastModified": { "time": 0, "actor": "urn:li:corpuser:unknown" @@ -443,7 +446,7 @@ } }, "systemMetadata": { - "lastObserved": 1707327443023, + "lastObserved": 1720073670669, "runId": "qlik-sense-test", "lastRunId": "no-run-id-provided" } @@ -1113,10 +1116,11 @@ "json": { "owners": [ { - "owner": "urn:li:corpuser:Shubham jagtap", + "owner": "urn:li:corpuser:john doe", "type": "DATAOWNER" } ], + "ownerTypes": {}, "lastModified": { "time": 0, "actor": "urn:li:corpuser:unknown" @@ -1124,7 +1128,7 @@ } }, "systemMetadata": { - "lastObserved": 1707327443058, + "lastObserved": 1720073670731, "runId": "qlik-sense-test", "lastRunId": "no-run-id-provided" } @@ -1289,10 +1293,11 @@ "json": { "owners": [ { - "owner": "urn:li:corpuser:Shubham jagtap", + "owner": "urn:li:corpuser:john doe", "type": "DATAOWNER" } ], + "ownerTypes": {}, "lastModified": { "time": 0, "actor": "urn:li:corpuser:unknown" @@ -1300,7 +1305,7 @@ } }, "systemMetadata": { - "lastObserved": 1707327443073, + "lastObserved": 1720073670744, "runId": "qlik-sense-test", "lastRunId": "no-run-id-provided" } diff --git a/metadata-ingestion/tests/integration/qlik_sense/test_qlik_sense.py b/metadata-ingestion/tests/integration/qlik_sense/test_qlik_sense.py index 818bc5198a5b14..ee1aafb6cf32dc 100644 --- a/metadata-ingestion/tests/integration/qlik_sense/test_qlik_sense.py +++ b/metadata-ingestion/tests/integration/qlik_sense/test_qlik_sense.py @@ -204,8 +204,8 @@ def register_mock_api(request_mock: Any, override_data: dict = {}) -> None: "tenantId": "ysA4KqhDrbdy36hO9wwo4HUvPxeaKT7A", "status": "active", "subject": "auth0|fd95ee6facf82e692d2eac4ccb5ddb18ef05c22a7575fcc4d26d7bc9aefedb4f", - "name": "Shubham jagtap", - "email": "Shubham.Jagtap@gslab.com", + "name": "john doe", + "email": "john.doe@example.com", "roles": [ "TenantAdmin", "AnalyticsAdmin", diff --git a/metadata-ingestion/tests/integration/sigma/test_sigma.py b/metadata-ingestion/tests/integration/sigma/test_sigma.py index f4948de7ea8250..b6e9db99eed39a 100644 --- a/metadata-ingestion/tests/integration/sigma/test_sigma.py +++ b/metadata-ingestion/tests/integration/sigma/test_sigma.py @@ -264,7 +264,7 @@ def register_mock_api(request_mock: Any, override_data: dict = {}) -> None: "json": { "elementId": "kH0MeihtGs", "name": "ADOPTIONS", - "sql": 'select PK "Pk", PET_FK "Pet Fk", HUMAN_FK "Human Fk", STATUS "Status", CAST_TIMESTAMP_TO_DATETIME_7 "Created At", CAST_TIMESTAMP_TO_DATETIME_8 "Updated At" from (select PK, PET_FK, HUMAN_FK, STATUS, CREATED_AT::timestamp_ltz CAST_TIMESTAMP_TO_DATETIME_7, UPDATED_AT::timestamp_ltz CAST_TIMESTAMP_TO_DATETIME_8 from (select * from LONG_TAIL_COMPANIONS.ADOPTION.ADOPTIONS ADOPTIONS limit 1000) Q1) Q2 limit 1000\n\n-- Sigma Σ {"request-id":"3d4bf15e-6a17-4967-ad2a-213341233a04","email":"Shubham.Jagtap@gslab.com"}', + "sql": 'select PK "Pk", PET_FK "Pet Fk", HUMAN_FK "Human Fk", STATUS "Status", CAST_TIMESTAMP_TO_DATETIME_7 "Created At", CAST_TIMESTAMP_TO_DATETIME_8 "Updated At" from (select PK, PET_FK, HUMAN_FK, STATUS, CREATED_AT::timestamp_ltz CAST_TIMESTAMP_TO_DATETIME_7, UPDATED_AT::timestamp_ltz CAST_TIMESTAMP_TO_DATETIME_8 from (select * from LONG_TAIL_COMPANIONS.ADOPTION.ADOPTIONS ADOPTIONS limit 1000) Q1) Q2 limit 1000\n\n-- Sigma Σ {"request-id":"3d4bf15e-6a17-4967-ad2a-213341233a04","email":"john.doe@example.com"}', }, }, "https://aws-api.sigmacomputing.com/v2/workbooks/9bbbe3b0-c0c8-4fac-b6f1-8dfebfe74f8b/lineage/elements/Ml9C5ezT5W": { @@ -299,7 +299,7 @@ def register_mock_api(request_mock: Any, override_data: dict = {}) -> None: "json": { "elementId": "Ml9C5ezT5W", "name": "Count of Profile Id by Status", - "sql": 'with Q1 as (select PK, PROFILE_ID, STATUS, CREATED_AT::timestamp_ltz CAST_TIMESTAMP_TO_DATETIME_6, UPDATED_AT::timestamp_ltz CAST_TIMESTAMP_TO_DATETIME_7 from LONG_TAIL_COMPANIONS.ADOPTION.PETS PETS) select STATUS_10 "Status", COUNT_23 "Count of Profile Id", PK_8 "Pk", PROFILE_ID_9 "Profile Id", CAST_TIMESTAMP_TO_DATETIME_8 "Created At", CAST_TIMESTAMP_TO_DATETIME_9 "Updated At" from (select Q3.PK_8 PK_8, Q3.PROFILE_ID_9 PROFILE_ID_9, Q3.STATUS_10 STATUS_10, Q3.CAST_TIMESTAMP_TO_DATETIME_8 CAST_TIMESTAMP_TO_DATETIME_8, Q3.CAST_TIMESTAMP_TO_DATETIME_9 CAST_TIMESTAMP_TO_DATETIME_9, Q6.COUNT_23 COUNT_23, Q6.STATUS_11 STATUS_11 from (select PK PK_8, PROFILE_ID PROFILE_ID_9, STATUS STATUS_10, CAST_TIMESTAMP_TO_DATETIME_6 CAST_TIMESTAMP_TO_DATETIME_8, CAST_TIMESTAMP_TO_DATETIME_7 CAST_TIMESTAMP_TO_DATETIME_9 from Q1 Q2 order by STATUS_10 asc limit 1000) Q3 left join (select count(PROFILE_ID_9) COUNT_23, STATUS_10 STATUS_11 from (select PROFILE_ID PROFILE_ID_9, STATUS STATUS_10 from Q1 Q4) Q5 group by STATUS_10) Q6 on equal_null(Q3.STATUS_10, Q6.STATUS_11)) Q8 order by STATUS_10 asc limit 1000\n\n-- Sigma Σ {"request-id":"988dd6b5-0678-4421-ae14-21594c0ee97a","email":"Shubham.Jagtap@gslab.com"}', + "sql": 'with Q1 as (select PK, PROFILE_ID, STATUS, CREATED_AT::timestamp_ltz CAST_TIMESTAMP_TO_DATETIME_6, UPDATED_AT::timestamp_ltz CAST_TIMESTAMP_TO_DATETIME_7 from LONG_TAIL_COMPANIONS.ADOPTION.PETS PETS) select STATUS_10 "Status", COUNT_23 "Count of Profile Id", PK_8 "Pk", PROFILE_ID_9 "Profile Id", CAST_TIMESTAMP_TO_DATETIME_8 "Created At", CAST_TIMESTAMP_TO_DATETIME_9 "Updated At" from (select Q3.PK_8 PK_8, Q3.PROFILE_ID_9 PROFILE_ID_9, Q3.STATUS_10 STATUS_10, Q3.CAST_TIMESTAMP_TO_DATETIME_8 CAST_TIMESTAMP_TO_DATETIME_8, Q3.CAST_TIMESTAMP_TO_DATETIME_9 CAST_TIMESTAMP_TO_DATETIME_9, Q6.COUNT_23 COUNT_23, Q6.STATUS_11 STATUS_11 from (select PK PK_8, PROFILE_ID PROFILE_ID_9, STATUS STATUS_10, CAST_TIMESTAMP_TO_DATETIME_6 CAST_TIMESTAMP_TO_DATETIME_8, CAST_TIMESTAMP_TO_DATETIME_7 CAST_TIMESTAMP_TO_DATETIME_9 from Q1 Q2 order by STATUS_10 asc limit 1000) Q3 left join (select count(PROFILE_ID_9) COUNT_23, STATUS_10 STATUS_11 from (select PROFILE_ID PROFILE_ID_9, STATUS STATUS_10 from Q1 Q4) Q5 group by STATUS_10) Q6 on equal_null(Q3.STATUS_10, Q6.STATUS_11)) Q8 order by STATUS_10 asc limit 1000\n\n-- Sigma Σ {"request-id":"988dd6b5-0678-4421-ae14-21594c0ee97a","email":"john.doe@example.com"}', }, }, "https://aws-api.sigmacomputing.com/v2/workbooks/9bbbe3b0-c0c8-4fac-b6f1-8dfebfe74f8b/pages/DFSieiAcgo/elements": { @@ -375,7 +375,7 @@ def register_mock_api(request_mock: Any, override_data: dict = {}) -> None: "json": { "elementId": "tQJu5N1l81", "name": "PETS ADOPTIONS JOIN", - "sql": 'select PK_8 "Pk", PROFILE_ID_9 "Profile Id", STATUS_10 "Status", CAST_TIMESTAMP_TO_DATETIME_11 "Created At", CAST_TIMESTAMP_TO_DATETIME_12 "Updated At", PK_13 "Pk (ADOPTIONS)", PET_FK_14 "Pet Fk", HUMAN_FK_15 "Human Fk", STATUS_16 "Status (ADOPTIONS)", CAST_TIMESTAMP_TO_DATETIME_19 "Created At (ADOPTIONS)", CAST_TIMESTAMP_TO_DATETIME_20 "Updated At (ADOPTIONS)" from (select PK_8, PROFILE_ID_9, STATUS_10, CAST_TIMESTAMP_TO_DATETIME_11, CAST_TIMESTAMP_TO_DATETIME_12, PK_13, PET_FK_14, HUMAN_FK_15, STATUS_16, CREATED_AT_17::timestamp_ltz CAST_TIMESTAMP_TO_DATETIME_19, UPDATED_AT_18::timestamp_ltz CAST_TIMESTAMP_TO_DATETIME_20 from (select Q1.PK_8 PK_8, Q1.PROFILE_ID_9 PROFILE_ID_9, Q1.STATUS_10 STATUS_10, Q1.CAST_TIMESTAMP_TO_DATETIME_11 CAST_TIMESTAMP_TO_DATETIME_11, Q1.CAST_TIMESTAMP_TO_DATETIME_12 CAST_TIMESTAMP_TO_DATETIME_12, Q2.PK PK_13, Q2.PET_FK PET_FK_14, Q2.HUMAN_FK HUMAN_FK_15, Q2.STATUS STATUS_16, Q2.CREATED_AT CREATED_AT_17, Q2.UPDATED_AT UPDATED_AT_18 from (select PK PK_8, PROFILE_ID PROFILE_ID_9, STATUS STATUS_10, CREATED_AT::timestamp_ltz CAST_TIMESTAMP_TO_DATETIME_11, UPDATED_AT::timestamp_ltz CAST_TIMESTAMP_TO_DATETIME_12 from LONG_TAIL_COMPANIONS.ADOPTION.PETS PETS) Q1 inner join LONG_TAIL_COMPANIONS.ADOPTION.ADOPTIONS Q2 on (Q1.PK_8 = Q2.PET_FK) limit 1000) Q4) Q5 limit 1000\n\n-- Sigma Σ {"request-id":"f5a997ef-b80c-47f1-b32e-9cd0f50cd491","email":"Shubham.Jagtap@gslab.com"}', + "sql": 'select PK_8 "Pk", PROFILE_ID_9 "Profile Id", STATUS_10 "Status", CAST_TIMESTAMP_TO_DATETIME_11 "Created At", CAST_TIMESTAMP_TO_DATETIME_12 "Updated At", PK_13 "Pk (ADOPTIONS)", PET_FK_14 "Pet Fk", HUMAN_FK_15 "Human Fk", STATUS_16 "Status (ADOPTIONS)", CAST_TIMESTAMP_TO_DATETIME_19 "Created At (ADOPTIONS)", CAST_TIMESTAMP_TO_DATETIME_20 "Updated At (ADOPTIONS)" from (select PK_8, PROFILE_ID_9, STATUS_10, CAST_TIMESTAMP_TO_DATETIME_11, CAST_TIMESTAMP_TO_DATETIME_12, PK_13, PET_FK_14, HUMAN_FK_15, STATUS_16, CREATED_AT_17::timestamp_ltz CAST_TIMESTAMP_TO_DATETIME_19, UPDATED_AT_18::timestamp_ltz CAST_TIMESTAMP_TO_DATETIME_20 from (select Q1.PK_8 PK_8, Q1.PROFILE_ID_9 PROFILE_ID_9, Q1.STATUS_10 STATUS_10, Q1.CAST_TIMESTAMP_TO_DATETIME_11 CAST_TIMESTAMP_TO_DATETIME_11, Q1.CAST_TIMESTAMP_TO_DATETIME_12 CAST_TIMESTAMP_TO_DATETIME_12, Q2.PK PK_13, Q2.PET_FK PET_FK_14, Q2.HUMAN_FK HUMAN_FK_15, Q2.STATUS STATUS_16, Q2.CREATED_AT CREATED_AT_17, Q2.UPDATED_AT UPDATED_AT_18 from (select PK PK_8, PROFILE_ID PROFILE_ID_9, STATUS STATUS_10, CREATED_AT::timestamp_ltz CAST_TIMESTAMP_TO_DATETIME_11, UPDATED_AT::timestamp_ltz CAST_TIMESTAMP_TO_DATETIME_12 from LONG_TAIL_COMPANIONS.ADOPTION.PETS PETS) Q1 inner join LONG_TAIL_COMPANIONS.ADOPTION.ADOPTIONS Q2 on (Q1.PK_8 = Q2.PET_FK) limit 1000) Q4) Q5 limit 1000\n\n-- Sigma Σ {"request-id":"f5a997ef-b80c-47f1-b32e-9cd0f50cd491","email":"john.doe@example.com"}', }, }, "https://aws-api.sigmacomputing.com/v2/members": { @@ -388,7 +388,7 @@ def register_mock_api(request_mock: Any, override_data: dict = {}) -> None: "memberType": "admin", "firstName": "Shubham", "lastName": "Jagtap", - "email": "Shubham.Jagtap@gslab.com", + "email": "john.doe@example.com", "profileImgUrl": None, "createdBy": "CPbEdA26GNQ2cM2Ra2BeO0fa5Awz1", "updatedBy": "CPbEdA26GNQ2cM2Ra2BeO0fa5Awz1", diff --git a/metadata-ingestion/tests/integration/snowflake/common.py b/metadata-ingestion/tests/integration/snowflake/common.py index 1d3e2c8b95af3a..5ef2eb420b8ed5 100644 --- a/metadata-ingestion/tests/integration/snowflake/common.py +++ b/metadata-ingestion/tests/integration/snowflake/common.py @@ -528,7 +528,7 @@ def default_query_results( # noqa: C901 snowflake_query.SnowflakeQuery.table_to_table_lineage_history_v2( start_time_millis=1654473600000, end_time_millis=1654586220000, - include_view_lineage=False, + include_view_lineage=True, include_column_lineage=False, ), ): @@ -604,8 +604,10 @@ def default_query_results( # noqa: C901 snowflake_query.SnowflakeQuery.view_dependencies(), snowflake_query.SnowflakeQuery.show_external_tables(), snowflake_query.SnowflakeQuery.copy_lineage_history( - 1654473600000, - 1654586220000, + start_time_millis=1654473600000, end_time_millis=1654621200000 + ), + snowflake_query.SnowflakeQuery.copy_lineage_history( + start_time_millis=1654473600000, end_time_millis=1654586220000 ), ]: return [] diff --git a/metadata-ingestion/tests/integration/snowflake/snowflake_golden.json b/metadata-ingestion/tests/integration/snowflake/snowflake_golden.json index 82b29c051114a7..5cba4e8b338223 100644 --- a/metadata-ingestion/tests/integration/snowflake/snowflake_golden.json +++ b/metadata-ingestion/tests/integration/snowflake/snowflake_golden.json @@ -4513,9 +4513,6 @@ "aspect": { "json": { "subjects": [ - { - "entity": "urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_1,PROD)" - }, { "entity": "urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_2,PROD)" }, @@ -4524,13 +4521,49 @@ }, { "entity": "urn:li:dataset:(urn:li:dataPlatform:snowflake,other_db.other_schema.table_1,PROD)" + }, + { + "entity": "urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_1,PROD)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_1,PROD),col_1)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_1,PROD),col_2)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_1,PROD),col_3)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_1,PROD),col_4)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_1,PROD),col_5)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_1,PROD),col_6)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_1,PROD),col_7)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_1,PROD),col_8)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_1,PROD),col_9)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_1,PROD),col_10)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_1,PROD),col_1)" } ] } }, "systemMetadata": { "lastObserved": 1615443388097, - "runId": "snowflake-2024_03_01-16_29_41", + "runId": "snowflake-2024_07_09-14_45_18", "lastRunId": "no-run-id-provided" } }, @@ -5102,13 +5135,43 @@ }, { "entity": "urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_2,PROD)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_2,PROD),col_1)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_2,PROD),col_2)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_2,PROD),col_3)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_2,PROD),col_4)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_2,PROD),col_5)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_2,PROD),col_6)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_2,PROD),col_7)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_2,PROD),col_8)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_2,PROD),col_9)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_2,PROD),col_10)" } ] } }, "systemMetadata": { "lastObserved": 1615443388097, - "runId": "snowflake-2024_03_01-16_29_41", + "runId": "snowflake-2024_07_09-14_45_18", "lastRunId": "no-run-id-provided" } }, @@ -5136,18 +5199,48 @@ "aspect": { "json": { "subjects": [ + { + "entity": "urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_2,PROD)" + }, { "entity": "urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_10,PROD)" }, { - "entity": "urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_2,PROD)" + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_10,PROD),col_1)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_10,PROD),col_2)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_10,PROD),col_3)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_10,PROD),col_4)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_10,PROD),col_5)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_10,PROD),col_6)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_10,PROD),col_7)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_10,PROD),col_8)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_10,PROD),col_9)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_10,PROD),col_10)" } ] } }, "systemMetadata": { "lastObserved": 1615443388097, - "runId": "snowflake-2024_03_01-16_29_41", + "runId": "snowflake-2024_07_09-14_45_18", "lastRunId": "no-run-id-provided" } }, @@ -5659,18 +5752,48 @@ "aspect": { "json": { "subjects": [ + { + "entity": "urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_2,PROD)" + }, { "entity": "urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_4,PROD)" }, { - "entity": "urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_2,PROD)" + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_4,PROD),col_1)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_4,PROD),col_2)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_4,PROD),col_3)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_4,PROD),col_4)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_4,PROD),col_5)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_4,PROD),col_6)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_4,PROD),col_7)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_4,PROD),col_8)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_4,PROD),col_9)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_4,PROD),col_10)" } ] } }, "systemMetadata": { "lastObserved": 1615443388097, - "runId": "snowflake-2024_03_01-16_29_41", + "runId": "snowflake-2024_07_09-14_45_18", "lastRunId": "no-run-id-provided" } }, @@ -5862,18 +5985,48 @@ "aspect": { "json": { "subjects": [ + { + "entity": "urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_2,PROD)" + }, { "entity": "urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_5,PROD)" }, { - "entity": "urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_2,PROD)" + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_5,PROD),col_1)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_5,PROD),col_2)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_5,PROD),col_3)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_5,PROD),col_4)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_5,PROD),col_5)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_5,PROD),col_6)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_5,PROD),col_7)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_5,PROD),col_8)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_5,PROD),col_9)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_5,PROD),col_10)" } ] } }, "systemMetadata": { "lastObserved": 1615443388097, - "runId": "snowflake-2024_03_01-16_29_41", + "runId": "snowflake-2024_07_09-14_45_18", "lastRunId": "no-run-id-provided" } }, @@ -6265,18 +6418,48 @@ "aspect": { "json": { "subjects": [ + { + "entity": "urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_2,PROD)" + }, { "entity": "urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_3,PROD)" }, { - "entity": "urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_2,PROD)" + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_3,PROD),col_1)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_3,PROD),col_2)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_3,PROD),col_3)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_3,PROD),col_4)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_3,PROD),col_5)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_3,PROD),col_6)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_3,PROD),col_7)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_3,PROD),col_8)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_3,PROD),col_9)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_3,PROD),col_10)" } ] } }, "systemMetadata": { "lastObserved": 1615443388097, - "runId": "snowflake-2024_03_01-16_29_41", + "runId": "snowflake-2024_07_09-14_45_18", "lastRunId": "no-run-id-provided" } }, @@ -6674,18 +6857,48 @@ "aspect": { "json": { "subjects": [ + { + "entity": "urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_2,PROD)" + }, { "entity": "urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_6,PROD)" }, { - "entity": "urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_2,PROD)" + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_6,PROD),col_1)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_6,PROD),col_2)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_6,PROD),col_3)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_6,PROD),col_4)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_6,PROD),col_5)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_6,PROD),col_6)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_6,PROD),col_7)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_6,PROD),col_8)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_6,PROD),col_9)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_6,PROD),col_10)" } ] } }, "systemMetadata": { "lastObserved": 1615443388097, - "runId": "snowflake-2024_03_01-16_29_41", + "runId": "snowflake-2024_07_09-14_45_18", "lastRunId": "no-run-id-provided" } }, @@ -6827,18 +7040,48 @@ "aspect": { "json": { "subjects": [ + { + "entity": "urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_2,PROD)" + }, { "entity": "urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_8,PROD)" }, { - "entity": "urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_2,PROD)" + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_8,PROD),col_1)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_8,PROD),col_2)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_8,PROD),col_3)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_8,PROD),col_4)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_8,PROD),col_5)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_8,PROD),col_6)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_8,PROD),col_7)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_8,PROD),col_8)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_8,PROD),col_9)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_8,PROD),col_10)" } ] } }, "systemMetadata": { "lastObserved": 1615443388097, - "runId": "snowflake-2024_03_01-16_29_41", + "runId": "snowflake-2024_07_09-14_45_18", "lastRunId": "no-run-id-provided" } }, @@ -6850,18 +7093,78 @@ "aspect": { "json": { "subjects": [ + { + "entity": "urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_1,PROD)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_1,PROD),col_1)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_1,PROD),col_4)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_1,PROD),col_5)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_1,PROD),col_6)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_1,PROD),col_2)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_1,PROD),col_10)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_1,PROD),col_7)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_1,PROD),col_9)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_1,PROD),col_3)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_1,PROD),col_8)" + }, { "entity": "urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.view_1,PROD)" }, { - "entity": "urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_1,PROD)" + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.view_1,PROD),col_1)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.view_1,PROD),col_2)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.view_1,PROD),col_3)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.view_1,PROD),col_4)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.view_1,PROD),col_5)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.view_1,PROD),col_6)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.view_1,PROD),col_7)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.view_1,PROD),col_8)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.view_1,PROD),col_9)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.view_1,PROD),col_10)" } ] } }, "systemMetadata": { "lastObserved": 1615443388097, - "runId": "snowflake-2024_03_01-16_29_41", + "runId": "snowflake-2024_07_09-14_45_18", "lastRunId": "no-run-id-provided" } }, @@ -6962,18 +7265,48 @@ "aspect": { "json": { "subjects": [ + { + "entity": "urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_2,PROD)" + }, { "entity": "urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_9,PROD)" }, { - "entity": "urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_2,PROD)" + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_9,PROD),col_1)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_9,PROD),col_2)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_9,PROD),col_3)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_9,PROD),col_4)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_9,PROD),col_5)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_9,PROD),col_6)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_9,PROD),col_7)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_9,PROD),col_8)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_9,PROD),col_9)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_9,PROD),col_10)" } ] } }, "systemMetadata": { "lastObserved": 1615443388097, - "runId": "snowflake-2024_03_01-16_29_41", + "runId": "snowflake-2024_07_09-14_45_18", "lastRunId": "no-run-id-provided" } }, @@ -7099,18 +7432,48 @@ "aspect": { "json": { "subjects": [ + { + "entity": "urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_2,PROD)" + }, { "entity": "urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_7,PROD)" }, { - "entity": "urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_2,PROD)" + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_7,PROD),col_1)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_7,PROD),col_2)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_7,PROD),col_3)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_7,PROD),col_4)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_7,PROD),col_5)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_7,PROD),col_6)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_7,PROD),col_7)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_7,PROD),col_8)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_7,PROD),col_9)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_7,PROD),col_10)" } ] } }, "systemMetadata": { "lastObserved": 1615443388097, - "runId": "snowflake-2024_03_01-16_29_41", + "runId": "snowflake-2024_07_09-14_45_18", "lastRunId": "no-run-id-provided" } }, @@ -7122,18 +7485,78 @@ "aspect": { "json": { "subjects": [ + { + "entity": "urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_2,PROD)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_2,PROD),col_1)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_2,PROD),col_4)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_2,PROD),col_5)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_2,PROD),col_6)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_2,PROD),col_2)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_2,PROD),col_10)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_2,PROD),col_7)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_2,PROD),col_9)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_2,PROD),col_3)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_2,PROD),col_8)" + }, { "entity": "urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.view_2,PROD)" }, { - "entity": "urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.table_2,PROD)" + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.view_2,PROD),col_1)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.view_2,PROD),col_2)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.view_2,PROD),col_3)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.view_2,PROD),col_4)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.view_2,PROD),col_5)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.view_2,PROD),col_6)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.view_2,PROD),col_7)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.view_2,PROD),col_8)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.view_2,PROD),col_9)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,test_db.test_schema.view_2,PROD),col_10)" } ] } }, "systemMetadata": { "lastObserved": 1615443388097, - "runId": "snowflake-2024_03_01-16_29_41", + "runId": "snowflake-2024_07_09-14_45_18", "lastRunId": "no-run-id-provided" } }, diff --git a/metadata-ingestion/tests/integration/snowflake/snowflake_privatelink_golden.json b/metadata-ingestion/tests/integration/snowflake/snowflake_privatelink_golden.json index 78d3b920767f72..71a74f883bf1bf 100644 --- a/metadata-ingestion/tests/integration/snowflake/snowflake_privatelink_golden.json +++ b/metadata-ingestion/tests/integration/snowflake/snowflake_privatelink_golden.json @@ -3892,11 +3892,71 @@ "aspect": { "json": { "subjects": [ + { + "entity": "urn:li:dataset:(urn:li:dataPlatform:snowflake,instance1.test_db.test_schema.table_1,PROD)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,instance1.test_db.test_schema.table_1,PROD),col_1)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,instance1.test_db.test_schema.table_1,PROD),col_4)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,instance1.test_db.test_schema.table_1,PROD),col_5)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,instance1.test_db.test_schema.table_1,PROD),col_6)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,instance1.test_db.test_schema.table_1,PROD),col_2)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,instance1.test_db.test_schema.table_1,PROD),col_10)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,instance1.test_db.test_schema.table_1,PROD),col_7)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,instance1.test_db.test_schema.table_1,PROD),col_9)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,instance1.test_db.test_schema.table_1,PROD),col_3)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,instance1.test_db.test_schema.table_1,PROD),col_8)" + }, { "entity": "urn:li:dataset:(urn:li:dataPlatform:snowflake,instance1.test_db.test_schema.view_1,PROD)" }, { - "entity": "urn:li:dataset:(urn:li:dataPlatform:snowflake,instance1.test_db.test_schema.table_1,PROD)" + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,instance1.test_db.test_schema.view_1,PROD),col_1)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,instance1.test_db.test_schema.view_1,PROD),col_2)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,instance1.test_db.test_schema.view_1,PROD),col_3)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,instance1.test_db.test_schema.view_1,PROD),col_4)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,instance1.test_db.test_schema.view_1,PROD),col_5)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,instance1.test_db.test_schema.view_1,PROD),col_6)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,instance1.test_db.test_schema.view_1,PROD),col_7)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,instance1.test_db.test_schema.view_1,PROD),col_8)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,instance1.test_db.test_schema.view_1,PROD),col_9)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,instance1.test_db.test_schema.view_1,PROD),col_10)" } ] } @@ -4111,11 +4171,71 @@ "aspect": { "json": { "subjects": [ + { + "entity": "urn:li:dataset:(urn:li:dataPlatform:snowflake,instance1.test_db.test_schema.table_2,PROD)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,instance1.test_db.test_schema.table_2,PROD),col_1)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,instance1.test_db.test_schema.table_2,PROD),col_4)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,instance1.test_db.test_schema.table_2,PROD),col_5)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,instance1.test_db.test_schema.table_2,PROD),col_6)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,instance1.test_db.test_schema.table_2,PROD),col_2)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,instance1.test_db.test_schema.table_2,PROD),col_10)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,instance1.test_db.test_schema.table_2,PROD),col_7)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,instance1.test_db.test_schema.table_2,PROD),col_9)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,instance1.test_db.test_schema.table_2,PROD),col_3)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,instance1.test_db.test_schema.table_2,PROD),col_8)" + }, { "entity": "urn:li:dataset:(urn:li:dataPlatform:snowflake,instance1.test_db.test_schema.view_2,PROD)" }, { - "entity": "urn:li:dataset:(urn:li:dataPlatform:snowflake,instance1.test_db.test_schema.table_2,PROD)" + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,instance1.test_db.test_schema.view_2,PROD),col_1)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,instance1.test_db.test_schema.view_2,PROD),col_2)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,instance1.test_db.test_schema.view_2,PROD),col_3)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,instance1.test_db.test_schema.view_2,PROD),col_4)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,instance1.test_db.test_schema.view_2,PROD),col_5)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,instance1.test_db.test_schema.view_2,PROD),col_6)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,instance1.test_db.test_schema.view_2,PROD),col_7)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,instance1.test_db.test_schema.view_2,PROD),col_8)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,instance1.test_db.test_schema.view_2,PROD),col_9)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,instance1.test_db.test_schema.view_2,PROD),col_10)" } ] } diff --git a/metadata-ingestion/tests/integration/snowflake/test_snowflake_failures.py b/metadata-ingestion/tests/integration/snowflake/test_snowflake_failures.py index 23f5c10b10f8e8..0b838b0bb59c3a 100644 --- a/metadata-ingestion/tests/integration/snowflake/test_snowflake_failures.py +++ b/metadata-ingestion/tests/integration/snowflake/test_snowflake_failures.py @@ -1,11 +1,12 @@ from datetime import datetime, timezone from unittest import mock +import pytest from freezegun import freeze_time from pytest import fixture from datahub.configuration.common import AllowDenyPattern, DynamicTypedConfig -from datahub.ingestion.run.pipeline import Pipeline +from datahub.ingestion.run.pipeline import Pipeline, PipelineInitError from datahub.ingestion.run.pipeline_config import PipelineConfig, SourceConfig from datahub.ingestion.source.snowflake import snowflake_query from datahub.ingestion.source.snowflake.snowflake_config import SnowflakeV2Config @@ -72,9 +73,10 @@ def test_snowflake_missing_role_access_causes_pipeline_failure( "250001 (08001): Failed to connect to DB: abc12345.ap-south-1.snowflakecomputing.com:443. Role 'TEST_ROLE' specified in the connect string is not granted to this user. Contact your local system administrator, or attempt to login with another role, e.g. PUBLIC" ) - pipeline = Pipeline(snowflake_pipeline_config) - pipeline.run() - assert "permission-error" in pipeline.source.get_report().failures.keys() + with pytest.raises(PipelineInitError, match="Permissions error"): + pipeline = Pipeline(snowflake_pipeline_config) + pipeline.run() + pipeline.raise_from_status() @freeze_time(FROZEN_TIME) @@ -96,7 +98,9 @@ def test_snowflake_missing_warehouse_access_causes_pipeline_failure( ) pipeline = Pipeline(snowflake_pipeline_config) pipeline.run() - assert "permission-error" in pipeline.source.get_report().failures.keys() + assert "permission-error" in [ + failure.message for failure in pipeline.source.get_report().failures + ] @freeze_time(FROZEN_TIME) @@ -118,7 +122,9 @@ def test_snowflake_no_databases_with_access_causes_pipeline_failure( ) pipeline = Pipeline(snowflake_pipeline_config) pipeline.run() - assert "permission-error" in pipeline.source.get_report().failures.keys() + assert "permission-error" in [ + failure.message for failure in pipeline.source.get_report().failures + ] @freeze_time(FROZEN_TIME) @@ -146,7 +152,9 @@ def test_snowflake_no_tables_causes_pipeline_failure( pipeline = Pipeline(snowflake_pipeline_config) pipeline.run() - assert "permission-error" in pipeline.source.get_report().failures.keys() + assert "permission-error" in [ + failure.message for failure in pipeline.source.get_report().failures + ] @freeze_time(FROZEN_TIME) @@ -171,10 +179,9 @@ def test_snowflake_list_columns_error_causes_pipeline_warning( pipeline = Pipeline(snowflake_pipeline_config) pipeline.run() pipeline.raise_from_status() # pipeline should not fail - assert ( - "Failed to get columns for table" - in pipeline.source.get_report().warnings.keys() - ) + assert "Failed to get columns for table" in [ + warning.message for warning in pipeline.source.get_report().warnings + ] @freeze_time(FROZEN_TIME) @@ -197,10 +204,9 @@ def test_snowflake_list_primary_keys_error_causes_pipeline_warning( pipeline = Pipeline(snowflake_pipeline_config) pipeline.run() pipeline.raise_from_status() # pipeline should not fail - assert ( - "Failed to get primary key for table" - in pipeline.source.get_report().warnings.keys() - ) + assert "Failed to get primary key for table" in [ + warning.message for warning in pipeline.source.get_report().warnings + ] @freeze_time(FROZEN_TIME) @@ -221,7 +227,7 @@ def test_snowflake_missing_snowflake_lineage_permission_causes_pipeline_failure( snowflake_query.SnowflakeQuery.table_to_table_lineage_history_v2( start_time_millis=1654473600000, end_time_millis=1654586220000, - include_view_lineage=False, + include_view_lineage=True, include_column_lineage=True, ) ], @@ -229,9 +235,9 @@ def test_snowflake_missing_snowflake_lineage_permission_causes_pipeline_failure( ) pipeline = Pipeline(snowflake_pipeline_config) pipeline.run() - assert ( - "lineage-permission-error" in pipeline.source.get_report().failures.keys() - ) + assert "lineage-permission-error" in [ + failure.message for failure in pipeline.source.get_report().failures + ] @freeze_time(FROZEN_TIME) @@ -253,4 +259,6 @@ def test_snowflake_missing_snowflake_operations_permission_causes_pipeline_failu ) pipeline = Pipeline(snowflake_pipeline_config) pipeline.run() - assert "usage-permission-error" in pipeline.source.get_report().failures.keys() + assert "usage-permission-error" in [ + failure.message for failure in pipeline.source.get_report().failures + ] diff --git a/metadata-ingestion/tests/integration/superset/golden_test_ingest.json b/metadata-ingestion/tests/integration/superset/golden_test_ingest.json index 74312940f06e78..767b85a72b975a 100644 --- a/metadata-ingestion/tests/integration/superset/golden_test_ingest.json +++ b/metadata-ingestion/tests/integration/superset/golden_test_ingest.json @@ -28,8 +28,8 @@ "datasets": [], "lastModified": { "created": { - "time": 1586847600000, - "actor": "urn:li:corpuser:test_username_1" + "time": 0, + "actor": "urn:li:corpuser:unknown" }, "lastModified": { "time": 1586847600000, @@ -44,7 +44,8 @@ }, "systemMetadata": { "lastObserved": 1586847600000, - "runId": "superset-test" + "runId": "superset-test", + "lastRunId": "no-run-id-provided" } }, { @@ -74,8 +75,8 @@ "datasets": [], "lastModified": { "created": { - "time": 1586847600000, - "actor": "urn:li:corpuser:test_username_2" + "time": 0, + "actor": "urn:li:corpuser:unknown" }, "lastModified": { "time": 1586847600000, @@ -90,7 +91,8 @@ }, "systemMetadata": { "lastObserved": 1586847600000, - "runId": "superset-test" + "runId": "superset-test", + "lastRunId": "no-run-id-provided" } }, { @@ -114,8 +116,8 @@ "description": "", "lastModified": { "created": { - "time": 1586847600000, - "actor": "urn:li:corpuser:test_username_1" + "time": 0, + "actor": "urn:li:corpuser:unknown" }, "lastModified": { "time": 1586847600000, @@ -136,7 +138,8 @@ }, "systemMetadata": { "lastObserved": 1586847600000, - "runId": "superset-test" + "runId": "superset-test", + "lastRunId": "no-run-id-provided" } }, { @@ -160,8 +163,8 @@ "description": "", "lastModified": { "created": { - "time": 1586847600000, - "actor": "urn:li:corpuser:test_username_1" + "time": 0, + "actor": "urn:li:corpuser:unknown" }, "lastModified": { "time": 1586847600000, @@ -182,7 +185,8 @@ }, "systemMetadata": { "lastObserved": 1586847600000, - "runId": "superset-test" + "runId": "superset-test", + "lastRunId": "no-run-id-provided" } }, { @@ -206,8 +210,8 @@ "description": "", "lastModified": { "created": { - "time": 1586847600000, - "actor": "urn:li:corpuser:test_username_2" + "time": 0, + "actor": "urn:li:corpuser:unknown" }, "lastModified": { "time": 1586847600000, @@ -228,7 +232,8 @@ }, "systemMetadata": { "lastObserved": 1586847600000, - "runId": "superset-test" + "runId": "superset-test", + "lastRunId": "no-run-id-provided" } }, { @@ -252,8 +257,8 @@ "description": "", "lastModified": { "created": { - "time": 1586847600000, - "actor": "urn:li:corpuser:test_username_2" + "time": 0, + "actor": "urn:li:corpuser:unknown" }, "lastModified": { "time": 1586847600000, @@ -274,7 +279,8 @@ }, "systemMetadata": { "lastObserved": 1586847600000, - "runId": "superset-test" + "runId": "superset-test", + "lastRunId": "no-run-id-provided" } } ] \ No newline at end of file diff --git a/metadata-ingestion/tests/integration/superset/golden_test_stateful_ingest.json b/metadata-ingestion/tests/integration/superset/golden_test_stateful_ingest.json index 0ff90cea7bccc5..0f207990179793 100644 --- a/metadata-ingestion/tests/integration/superset/golden_test_stateful_ingest.json +++ b/metadata-ingestion/tests/integration/superset/golden_test_stateful_ingest.json @@ -28,8 +28,8 @@ "datasets": [], "lastModified": { "created": { - "time": 1586847600000, - "actor": "urn:li:corpuser:test_username_1" + "time": 0, + "actor": "urn:li:corpuser:unknown" }, "lastModified": { "time": 1586847600000, @@ -70,8 +70,8 @@ "description": "", "lastModified": { "created": { - "time": 1586847600000, - "actor": "urn:li:corpuser:test_username_1" + "time": 0, + "actor": "urn:li:corpuser:unknown" }, "lastModified": { "time": 1586847600000, @@ -118,8 +118,8 @@ "description": "", "lastModified": { "created": { - "time": 1586847600000, - "actor": "urn:li:corpuser:test_username_1" + "time": 0, + "actor": "urn:li:corpuser:unknown" }, "lastModified": { "time": 1586847600000, @@ -166,8 +166,8 @@ "description": "", "lastModified": { "created": { - "time": 1586847600000, - "actor": "urn:li:corpuser:test_username_2" + "time": 0, + "actor": "urn:li:corpuser:unknown" }, "lastModified": { "time": 1586847600000, @@ -214,8 +214,8 @@ "description": "", "lastModified": { "created": { - "time": 1586847600000, - "actor": "urn:li:corpuser:test_username_2" + "time": 0, + "actor": "urn:li:corpuser:unknown" }, "lastModified": { "time": 1586847600000, diff --git a/metadata-ingestion/tests/integration/tableau/tableau_cll_mces_golden.json b/metadata-ingestion/tests/integration/tableau/tableau_cll_mces_golden.json index 5366930210702a..5de4fe5f647d93 100644 --- a/metadata-ingestion/tests/integration/tableau/tableau_cll_mces_golden.json +++ b/metadata-ingestion/tests/integration/tableau/tableau_cll_mces_golden.json @@ -898,7 +898,7 @@ "customProperties": { "luid": "f0779f9d-6765-47a9-a8f6-c740cfd27783" }, - "externalUrl": "https://do-not-connect/t/acryl/authoring/EmailPerformancebyCampaign/EmailPerformancebyCampaign/Timeline - Sent", + "externalUrl": "https://do-not-connect/t/acryl/authoring/EmailPerformancebyCampaign/EmailPerformancebyCampaign/Timeline%20-%20Sent", "title": "Timeline - Sent", "description": "", "lastModified": { @@ -1180,7 +1180,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/EmailPerformancebyCampaign/EmailPerformancebyCampaign/Campaign List", + "externalUrl": "https://do-not-connect/t/acryl/authoring/EmailPerformancebyCampaign/EmailPerformancebyCampaign/Campaign%20List", "title": "Campaign List", "description": "", "lastModified": { @@ -2368,7 +2368,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/EmailPerformancebyCampaign/EmailPerformancebyCampaign/Mobile - Sent by Campaign", + "externalUrl": "https://do-not-connect/t/acryl/authoring/EmailPerformancebyCampaign/EmailPerformancebyCampaign/Mobile%20-%20Sent%20by%20Campaign", "title": "Mobile - Sent by Campaign", "description": "", "lastModified": { @@ -3560,7 +3560,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Opened Requests", + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Opened%20Requests", "title": "Opened Requests", "description": "", "lastModified": { @@ -4068,7 +4068,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Top 10 Items by Requests and YoY Change", + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Top%2010%20Items%20by%20Requests%20and%20YoY%20Change", "title": "Top 10 Items by Requests and YoY Change", "description": "", "lastModified": { @@ -4544,7 +4544,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Opened Problems", + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Opened%20Problems", "title": "Opened Problems", "description": "", "lastModified": { @@ -5441,7 +5441,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/High and Critical Priority Problems", + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/High%20and%20Critical%20Priority%20Problems", "title": "High and Critical Priority Problems", "description": "", "lastModified": { @@ -5810,7 +5810,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Total Incidents by Category and YoY Change", + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Total%20Incidents%20by%20Category%20and%20YoY%20Change", "title": "Total Incidents by Category and YoY Change", "description": "", "lastModified": { @@ -6202,7 +6202,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Known Errors", + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Known%20Errors", "title": "Known Errors", "description": "", "lastModified": { @@ -6649,7 +6649,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Overdue Requests", + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Overdue%20Requests", "title": "Overdue Requests", "description": "", "lastModified": { @@ -7070,7 +7070,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/AVG Time to Solve an Incident", + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/AVG%20Time%20to%20Solve%20an%20Incident", "title": "AVG Time to Solve an Incident", "description": "", "lastModified": { @@ -7407,7 +7407,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Made SLA?", + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Made%20SLA%3F", "title": "Made SLA?", "description": "", "lastModified": { @@ -8035,7 +8035,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Overdue Problems", + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Overdue%20Problems", "title": "Overdue Problems", "description": "", "lastModified": { @@ -9194,7 +9194,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Age of Active Problems", + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Age%20of%20Active%20Problems", "title": "Age of Active Problems", "description": "", "lastModified": { @@ -9589,7 +9589,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Opened Incidents", + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Opened%20Incidents", "title": "Opened Incidents", "description": "", "lastModified": { diff --git a/metadata-ingestion/tests/integration/tableau/tableau_extract_all_project_mces_golden.json b/metadata-ingestion/tests/integration/tableau/tableau_extract_all_project_mces_golden.json index 423bed0a1bdf1d..3fd5ed1ac9dee6 100644 --- a/metadata-ingestion/tests/integration/tableau/tableau_extract_all_project_mces_golden.json +++ b/metadata-ingestion/tests/integration/tableau/tableau_extract_all_project_mces_golden.json @@ -1157,7 +1157,7 @@ "customProperties": { "luid": "f0779f9d-6765-47a9-a8f6-c740cfd27783" }, - "externalUrl": "https://do-not-connect/t/acryl/authoring/EmailPerformancebyCampaign/EmailPerformancebyCampaign/Timeline - Sent", + "externalUrl": "https://do-not-connect/t/acryl/authoring/EmailPerformancebyCampaign/EmailPerformancebyCampaign/Timeline%20-%20Sent", "title": "Timeline - Sent", "description": "", "lastModified": { @@ -1439,7 +1439,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/EmailPerformancebyCampaign/EmailPerformancebyCampaign/Campaign List", + "externalUrl": "https://do-not-connect/t/acryl/authoring/EmailPerformancebyCampaign/EmailPerformancebyCampaign/Campaign%20List", "title": "Campaign List", "description": "", "lastModified": { @@ -2627,7 +2627,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/EmailPerformancebyCampaign/EmailPerformancebyCampaign/Mobile - Sent by Campaign", + "externalUrl": "https://do-not-connect/t/acryl/authoring/EmailPerformancebyCampaign/EmailPerformancebyCampaign/Mobile%20-%20Sent%20by%20Campaign", "title": "Mobile - Sent by Campaign", "description": "", "lastModified": { @@ -3819,7 +3819,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Opened Requests", + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Opened%20Requests", "title": "Opened Requests", "description": "", "lastModified": { @@ -4327,7 +4327,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Top 10 Items by Requests and YoY Change", + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Top%2010%20Items%20by%20Requests%20and%20YoY%20Change", "title": "Top 10 Items by Requests and YoY Change", "description": "", "lastModified": { @@ -4803,7 +4803,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Opened Problems", + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Opened%20Problems", "title": "Opened Problems", "description": "", "lastModified": { @@ -5700,7 +5700,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/High and Critical Priority Problems", + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/High%20and%20Critical%20Priority%20Problems", "title": "High and Critical Priority Problems", "description": "", "lastModified": { @@ -6069,7 +6069,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Total Incidents by Category and YoY Change", + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Total%20Incidents%20by%20Category%20and%20YoY%20Change", "title": "Total Incidents by Category and YoY Change", "description": "", "lastModified": { @@ -6461,7 +6461,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": 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"platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/#/site/acryl/views/dvdrental/Sheet3", + "title": "Sheet 3", + "description": "", + "lastModified": { + "created": { + "time": 1640375456000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1642199995000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,d00f4ba6-707e-4684-20af-69eb47587cc2,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Acryl/default/Dvdrental Workbook" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + }, + { + 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"urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,d00f4ba6-707e-4684-20af-69eb47587cc2,PROD),Segment)", + "schemaField": { + "fieldPath": "Segment", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NullType": {} + } + }, + "nativeDataType": "UNKNOWN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DATASOURCEFIELD" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,e604255e-0573-3951-6db7-05bee48116c1)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc", + "urn": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc" + }, + { + "id": 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"lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD)" + }, + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Acryl/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,20fc5eb7-81eb-aa18-8c39-af501c62d085)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,20fc5eb7-81eb-aa18-8c39-af501c62d085)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Closed)", + "schemaField": { + "fieldPath": "Closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Current Year Total Cases)", + "schemaField": { + "fieldPath": "Current Year Total Cases", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each distinct request made in the last year. The \"exclude\" is used to avoid filters interfering in the final result\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Due date)", + "schemaField": { + "fieldPath": "Due date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Overdue)", + "schemaField": { + "fieldPath": "Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows if an accident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\nIF [Active]=FALSE \r\nAND\r\n[Closed]>[Due date]\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\n[Active]=TRUE \r\nAND NOW()>[Due date]\r\n\r\nTHEN \"Overdue\"\r\nELSE \"Non Overdue\"\r\nEND", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Total # Request)", + "schemaField": { + "fieldPath": "Total # Request", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the total number of problems ignoring opened date\r\n\r\n{ EXCLUDE [Opened]: COUNTD([Number])}", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Total Active Requests)", + "schemaField": { + "fieldPath": "Total Active Requests", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each distinct active request. The \"exclude\" is used to avoid filters interfering with the final result \r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Active]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": 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"tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,20fc5eb7-81eb-aa18-8c39-af501c62d085)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc", + "urn": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc" + }, + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,2b5351c1-535d-4a4a-1339-c51ddd6abf8a)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Top%2010%20Items%20by%20Requests%20and%20YoY%20Change", + "title": "Top 10 Items by Requests and YoY Change", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD)" + 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"lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,2b5351c1-535d-4a4a-1339-c51ddd6abf8a)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": 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The \"exclude\" is used to avoid filters interfering in the final result\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Due date)", + "schemaField": { + "fieldPath": "Due date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Name)", + "schemaField": { + "fieldPath": "Name", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Overdue)", + "schemaField": { + "fieldPath": "Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows if an accident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\nIF [Active]=FALSE \r\nAND\r\n[Closed]>[Due date]\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\n[Active]=TRUE \r\nAND NOW()>[Due date]\r\n\r\nTHEN \"Overdue\"\r\nELSE \"Non Overdue\"\r\nEND", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + 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"aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,2b73b9dd-4ec7-75ca-f2e9-fa1984ca8b72)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Closed)", + "schemaField": { + "fieldPath": "Closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Current Year Total Cases)", + "schemaField": { + "fieldPath": "Current Year Total Cases", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each disctinct problem. The \"exclude\" is used to avoid filters interfering with the result\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Due date)", + "schemaField": { + "fieldPath": "Due date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the max year of the dataset \r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Overdue)", + "schemaField": { + "fieldPath": "Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It checks if an incident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\n{ FIXED [Number]:\r\n\r\nIF MAX([Active]=FALSE) \r\nAND\r\nmax([Closed])> max([Due date])\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\nMAX([Active]=TRUE) \r\nAND NOW()> MAX([Due date]) \r\n\r\nTHEN \"Overdue\"\r\nEND\r\n}", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Total # Problems)", + "schemaField": { + "fieldPath": "Total # Problems", + "nullable": false, + "description": "formula: // This is a calculated field using a level of detail calculation (LOD)\r\n// It counts each distinct problems ignoring date\r\n\r\n{ EXCLUDE [Opened]: COUNTD([Number])}", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Total Active Problems)", + "schemaField": { + "fieldPath": "Total Active Problems", + "nullable": false, + "description": "formula: // This is a calculated field using a level of detail calculation (LOD)\r\n// It counts each distinct active problem. The \"exclude\" is used to avoid filters interfering with the result \r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Active]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,2b73b9dd-4ec7-75ca-f2e9-fa1984ca8b72)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc", + "urn": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc" + }, + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,373c6466-bb0c-b319-8752-632456349261)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Overdue", + "title": "Overdue", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Acryl/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,373c6466-bb0c-b319-8752-632456349261)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,373c6466-bb0c-b319-8752-632456349261)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),% of Overdue)", + "schemaField": { + "fieldPath": "% of Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It show the percentage incidents which are overdue\r\n\r\n(IF ATTR([Overdue]=\"Overdue\")\r\nTHEN COUNTD([Number])\r\nEND)\r\n/\r\nATTR({ EXCLUDE [Overdue]:\r\nCOUNTD([Number])})", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Category %28Incident%29)", + "schemaField": { + "fieldPath": "Category (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Closed)", + "schemaField": { + "fieldPath": "Closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Due date)", + "schemaField": { + "fieldPath": "Due date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if opened date equals maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Overdue)", + "schemaField": { + "fieldPath": "Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows if an incident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\n{ FIXED [Number]:\r\n\r\nIF MAX([Active]=FALSE) \r\nAND\r\nmax([Closed])>max([Due date])\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\nMAX([Active] = TRUE) \r\nAND NOW() > MAX([Due date]) \r\n\r\nTHEN \"Overdue\"\r\nEND\r\n}", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,373c6466-bb0c-b319-8752-632456349261)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc", + "urn": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc" + }, + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,53b8dc2f-8ada-51f7-7422-fe82e9b803cc)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/High%20and%20Critical%20Priority%20Problems", + "title": "High and Critical Priority Problems", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD)" + }, + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Acryl/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,53b8dc2f-8ada-51f7-7422-fe82e9b803cc)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,53b8dc2f-8ada-51f7-7422-fe82e9b803cc)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),% of critical and high priority)", + "schemaField": { + "fieldPath": "% of critical and high priority", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the percentage of critical or high priority problems\r\n\r\nCOUNTD(IF [Priority]=1\r\nOR [Priority]=2\r\nTHEN [Number]\r\nEND)\r\n/\r\nCOUNTD([Number])", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the max year of the dataset \r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,53b8dc2f-8ada-51f7-7422-fe82e9b803cc)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc", + "urn": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc" + }, + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,58af9ecf-b839-da50-65e1-2e1fa20e3362)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Total%20Incidents%20by%20Category%20and%20YoY%20Change", + "title": "Total Incidents by Category and YoY Change", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Acryl/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,58af9ecf-b839-da50-65e1-2e1fa20e3362)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,58af9ecf-b839-da50-65e1-2e1fa20e3362)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Category %28Incident%29)", + "schemaField": { + "fieldPath": "Category (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Closed)", + "schemaField": { + "fieldPath": "Closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Current Year Total Cases)", + "schemaField": { + "fieldPath": "Current Year Total Cases", + "nullable": false, + "description": "formula: // This is a calculated field using level of detail calculation\r\n// It counts each distinct incident. The exclude is used to guarantee that filters will not interfere in the result\r\n\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Due date)", + "schemaField": { + "fieldPath": "Due date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if opened date equals maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Overdue)", + "schemaField": { + "fieldPath": "Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows if an incident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\n{ FIXED [Number]:\r\n\r\nIF MAX([Active]=FALSE) \r\nAND\r\nmax([Closed])>max([Due date])\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\nMAX([Active] = TRUE) \r\nAND NOW() > MAX([Due date]) \r\n\r\nTHEN \"Overdue\"\r\nEND\r\n}", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,58af9ecf-b839-da50-65e1-2e1fa20e3362)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc", + "urn": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc" + }, + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,618b3e76-75c1-cb31-0c61-3f4890b72c31)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Known%20Errors", + "title": "Known Errors", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD)" + }, + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Acryl/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,618b3e76-75c1-cb31-0c61-3f4890b72c31)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,618b3e76-75c1-cb31-0c61-3f4890b72c31)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),% of known error)", + "schemaField": { + "fieldPath": "% of known error", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the percentage of problems that are known errors\r\n\r\nCOUNTD(IF [Known error]=TRUE\r\nTHEN [Number] END)\r\n/\r\nCOUNTD([Number])", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Known error)", + "schemaField": { + "fieldPath": "Known error", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the max year of the dataset \r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Problems with Related Incidents)", + "schemaField": { + "fieldPath": "Problems with Related Incidents", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each distinct problems which has a related incident\r\n\r\nCOUNT(IF ([Related Incidents]>0\r\nAND NOT ISNULL([Related Incidents]))=true\r\nTHEN [Number]\r\nEND)", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Related Incidents)", + "schemaField": { + "fieldPath": "Related Incidents", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,618b3e76-75c1-cb31-0c61-3f4890b72c31)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc", + "urn": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc" + }, + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,721c3c41-7a2b-16a8-3281-6f948a44be96)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Overdue%20Requests", + "title": "Overdue Requests", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD)" + }, + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Acryl/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,721c3c41-7a2b-16a8-3281-6f948a44be96)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,721c3c41-7a2b-16a8-3281-6f948a44be96)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),% of Overdue)", + "schemaField": { + "fieldPath": "% of Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the percentage of incidents which are overdue\r\n\r\n(IF ATTR([Overdue]= \"Overdue\")\r\nTHEN COUNTD([Number])\r\nEND)\r\n/\r\nATTR({ EXCLUDE [Overdue]:\r\nCOUNTD([Number])})", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Closed)", + "schemaField": { + "fieldPath": "Closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Due date)", + "schemaField": { + "fieldPath": "Due date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Overdue)", + "schemaField": { + "fieldPath": "Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows if an accident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\nIF [Active]=FALSE \r\nAND\r\n[Closed]>[Due date]\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\n[Active]=TRUE \r\nAND NOW()>[Due date]\r\n\r\nTHEN \"Overdue\"\r\nELSE \"Non Overdue\"\r\nEND", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + 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"urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,721c3c41-7a2b-16a8-3281-6f948a44be96)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc", + "urn": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc" + }, + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": 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"urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Acryl/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,7ef184c1-5a41-5ec8-723e-ae44c20aa335)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,7ef184c1-5a41-5ec8-723e-ae44c20aa335)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Category 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"urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if opened date equals maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Time to Close an Incident %28seconds%29)", + "schemaField": { + "fieldPath": "Time to Close an Incident (seconds)", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It calculates the difference in seconds between opening and closing an incident\r\n\r\n// Check if closed date is valid\r\nIF [Closed]>[Opened]\r\nTHEN\r\n//Calculate difference\r\nDATEDIFF('second', [Opened], [Closed])\r\nEND", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Time to Close an Incident)", + "schemaField": { + "fieldPath": "Time to Close an Incident", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It transforms time in seconds into DD:HH:MM:SS format\r\nSTR(INT(AVG([Time to Close an Incident (seconds)])/86400)) \r\n \r\n+ \" day(s) \" + \r\n \r\nIF (INT(AVG([Time to Close an Incident (seconds)])%86400/3600)) \r\n< 10 THEN \"0\" ELSE \"\" END + STR(INT(AVG([Time to Close an Incident (seconds)])%86400/3600))\r\n \r\n+ \":\" + \r\n \r\nIF INT(AVG([Time to Close an Incident (seconds)])%3600/60) \r\n< 10 THEN \"0\" ELSE \"\" END + STR(INT(AVG([Time to Close an Incident (seconds)])%3600/60)) \r\n \r\n \r\n+ \":\" + \r\n \r\nIF INT(AVG([Time to Close an Incident (seconds)]) %3600 %60) \r\n< 10 THEN \"0\" ELSE \"\" END + STR(INT(AVG([Time to Close an Incident (seconds)]) %3600 %60))", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,7ef184c1-5a41-5ec8-723e-ae44c20aa335)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc", + "urn": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc" + }, + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,7fbc77ba-0ab6-3727-0db3-d8402a804da5)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Made%20SLA%3F", + "title": "Made SLA?", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD)" + }, + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Acryl/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,7fbc77ba-0ab6-3727-0db3-d8402a804da5)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,7fbc77ba-0ab6-3727-0db3-d8402a804da5)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),% made SLA)", + "schemaField": { + "fieldPath": "% made SLA", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the percentage of requests which made SLA\r\n\r\nCOUNTD(IF [Made SLA]= TRUE\r\nTHEN [Number]\r\nEND)\r\n/\r\nCOUNTD([Number])", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Made SLA)", + "schemaField": { + "fieldPath": "Made SLA", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + 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}, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,7fbc77ba-0ab6-3727-0db3-d8402a804da5)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc", + "urn": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc" + }, + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,8385ea9a-0749-754f-7ad9-824433de2120)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/#/site/acryl/views/ExecutiveDashboard/Tooltip-IncidentBreakdownbyPriority", + "title": "Tooltip - Incident Breakdown by Priority", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": 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1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,8385ea9a-0749-754f-7ad9-824433de2120)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Max Year?)", 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}, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,8385ea9a-0749-754f-7ad9-824433de2120)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc", + "urn": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc" + }, + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": 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+ { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Acryl/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,b207c2f2-b675-32e3-2663-17bb836a018b)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,b207c2f2-b675-32e3-2663-17bb836a018b)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),% of Overdue)", + "schemaField": { + "fieldPath": "% of Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the percentage of incidents that are overdue\r\n\r\nIFNULL((IF ATTR([Overdue]= \"Overdue\")\r\nTHEN COUNTD([Number])\r\nEND),0)\r\n/\r\nATTR({ EXCLUDE [Overdue]:\r\nCOUNTD([Number])})", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Closed)", + "schemaField": { + "fieldPath": "Closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Due date)", + "schemaField": { + "fieldPath": "Due date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the max year of the dataset \r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Overdue)", + "schemaField": { + "fieldPath": "Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It checks if an incident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\n{ FIXED [Number]:\r\n\r\nIF MAX([Active]=FALSE) \r\nAND\r\nmax([Closed])> max([Due date])\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\nMAX([Active]=TRUE) \r\nAND NOW()> MAX([Due date]) \r\n\r\nTHEN \"Overdue\"\r\nEND\r\n}", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + 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"nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,b679da5e-7d03-f01e-b2ea-01fb3c1926dc)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc", + "urn": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc" + }, + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + 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+ "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD)" + }, + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Acryl/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": 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"tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if opened date equals maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,c14973c2-e1c3-563a-a9c1-8a408396d22a)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc", + "urn": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc" + }, + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,e70a540d-55ed-b9cc-5a3c-01ebe81a1274)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Age%20of%20Active%20Problems", + "title": "Age of Active Problems", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD)" + }, + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Acryl/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,e70a540d-55ed-b9cc-5a3c-01ebe81a1274)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,e70a540d-55ed-b9cc-5a3c-01ebe81a1274)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Age of Problems)", + "schemaField": { + "fieldPath": "Age of Problems", + "nullable": false, + "description": "formula: //Calculates the age of active problems since opened until now\r\n\r\nDATEDIFF('second', [Opened], NOW())", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the max year of the dataset \r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Time Span Breakdown)", + "schemaField": { + "fieldPath": "Time Span Breakdown", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It groups problems accordingly with their ages\r\n\r\nIF [Age of Problems]< 2592000\r\nTHEN \"Under 30 d\"\r\nELSEIF [Age of Problems] > 7776000\r\nTHEN \"+ than 90d\"\r\nELSE \" 30-90 d\"\r\nEND", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,e70a540d-55ed-b9cc-5a3c-01ebe81a1274)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc", + "urn": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc" + }, + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,f76d3570-23b8-f74b-d85c-cc5484c2079c)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Opened%20Incidents", + "title": "Opened Incidents", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Acryl/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,f76d3570-23b8-f74b-d85c-cc5484c2079c)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,f76d3570-23b8-f74b-d85c-cc5484c2079c)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Category %28Incident%29)", + "schemaField": { + "fieldPath": "Category (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Closed)", + "schemaField": { + "fieldPath": "Closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Current Year Total Cases)", + "schemaField": { + "fieldPath": "Current Year Total Cases", + "nullable": false, + "description": "formula: // This is a calculated field using level of detail calculation\r\n// It counts each distinct incident. The exclude is used to guarantee that filters will not interfere in the result\r\n\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Due date)", + "schemaField": { + "fieldPath": "Due date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if opened date equals maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened Month Tooltip)", + "schemaField": { + "fieldPath": "Opened Month Tooltip", + "nullable": false, + "description": "formula: // This is an IF statment using the opened field to allow for different formats\r\n// original used on columns for line charts are formatted in starting letter of month i.e. J for January\r\n// This version formats to full month name for the tooltip \r\n\r\n\r\n// The IF statement names the month based on the month number of the datefield\r\nIF DATEPART('month', [Opened]) = 1 THEN 'January'\r\nELSEIF DATEPART('month', [Opened]) = 2 THEN 'February'\r\nELSEIF DATEPART('month', [Opened]) = 3 THEN 'March'\r\nELSEIF DATEPART('month', [Opened]) = 4 THEN 'April'\r\nELSEIF DATEPART('month', [Opened]) = 5 THEN 'May'\r\nELSEIF DATEPART('month', [Opened]) = 6 THEN 'June'\r\nELSEIF DATEPART('month', [Opened]) = 7 THEN 'July'\r\nELSEIF DATEPART('month', [Opened]) = 8 THEN 'August'\r\nELSEIF DATEPART('month', [Opened]) = 9 THEN 'September'\r\nELSEIF DATEPART('month', [Opened]) = 10 THEN 'October'\r\nELSEIF DATEPART('month', [Opened]) = 11 THEN 'Novemeber'\r\nELSEIF DATEPART('month', [Opened]) = 12 THEN 'December'\r\nELSE NULL\r\nEND", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Overdue)", + "schemaField": { + "fieldPath": "Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows if an incident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\n{ FIXED [Number]:\r\n\r\nIF MAX([Active]=FALSE) \r\nAND\r\nmax([Closed])>max([Due date])\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\nMAX([Active] = TRUE) \r\nAND NOW() > MAX([Due date]) \r\n\r\nTHEN \"Overdue\"\r\nEND\r\n}", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Total Active Incidents)", + "schemaField": { + "fieldPath": "Total Active Incidents", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each distinct incident. The \"exclude\" is used to avoid filters interfering in the final result\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Active]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,f76d3570-23b8-f74b-d85c-cc5484c2079c)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc", + "urn": 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"urn:li:container:fad3de4b86519c3edeb685215fe0bab1" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD)", + "changeType": "UPSERT", + "aspectName": "upstreamLineage", + "aspect": { + "json": { + "upstreams": [ + { + "auditStamp": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.task,PROD)", + "type": "TRANSFORMED" + }, + { + "auditStamp": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.sc_request,PROD)", + "type": "TRANSFORMED" + }, + { + "auditStamp": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.sc_req_item,PROD)", + "type": "TRANSFORMED" + }, + { + "auditStamp": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.sc_cat_item,PROD)", + "type": "TRANSFORMED" + } + ], + "fineGrainedLineages": [ + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Made SLA)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),% made SLA)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows the percentage of requests which made SLA\r\n\r\nCOUNTD(IF [Made SLA]= TRUE\r\nTHEN [Number]\r\nEND)\r\n/\r\nCOUNTD([Number])", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Overdue)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),% of Overdue)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows the percentage of incidents which are overdue\r\n\r\n(IF ATTR([Overdue]= \"Overdue\")\r\nTHEN COUNTD([Number])\r\nEND)\r\n/\r\nATTR({ EXCLUDE [Overdue]:\r\nCOUNTD([Number])})", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Opened)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Overdue)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Max Year?)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Current Year Total Cases)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It counts each distinct request made in the last year. The \"exclude\" is used to avoid filters interfering in the final result\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Opened)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Max Year?)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Active)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Due date)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Overdue)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows if an accident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\nIF [Active]=FALSE \r\nAND\r\n[Closed]>[Due date]\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\n[Active]=TRUE \r\nAND NOW()>[Due date]\r\n\r\nTHEN \"Overdue\"\r\nELSE \"Non Overdue\"\r\nEND", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Opened)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Total # Request)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows the total number of problems ignoring opened date\r\n\r\n{ EXCLUDE [Opened]: COUNTD([Number])}", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Opened)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Overdue)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Active)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Max Year?)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Total Active Requests)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It counts each distinct active request. The \"exclude\" is used to avoid filters interfering with the final result \r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Active]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "confidenceScore": 1.0 + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.DatasetSnapshot": { + "urn": "urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/prod/tableau/Acryl/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + }, + { + "com.linkedin.pegasus2avro.dataset.DatasetProperties": { + "customProperties": { + "hasExtracts": "True", + "extractLastRefreshTime": "2018-01-18T19:35:39Z", + "extractLastUpdateTime": "2018-01-18T19:35:39Z" + }, + "name": "Requests", + "tags": [] + } + }, + { + "com.linkedin.pegasus2avro.schema.SchemaMetadata": { + "schemaName": "test", + "platform": "urn:li:dataPlatform:tableau", + "version": 0, + "created": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "hash": "", + "platformSchema": { + "com.linkedin.pegasus2avro.schema.OtherSchema": { + "rawSchema": "" + } + }, + "fields": [ + { + "fieldPath": "Closed by (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Location", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Mobile Picture", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery task", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "% made SLA", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the percentage of requests which made SLA\r\n\r\nCOUNTD(IF [Made SLA]= TRUE\r\nTHEN [Number]\r\nEND)\r\n/\r\nCOUNTD([Number])", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + 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false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work notes (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Short description", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain Path (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated by (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Additional comments (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Recurring price", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Duration (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Contact type", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Total # Request", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the total number of problems ignoring opened date\r\n\r\n{ EXCLUDE [Opened]: COUNTD([Number])}", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + 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"Ordered item link", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Visible elsewhere", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Price", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Recurring Price Frequency (Catalog Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation display (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Order (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Group list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Update name", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Special instructions", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Execution Plan", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Visible on Bundles", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval set (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "No search", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Active (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Configuration item (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Due date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "List Price", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Company (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Additional assignee list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Expected start (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Task type (Requested Item)", + "nullable": false, + "description": "", + "type": { + 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{ + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Preview link", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updates (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updates", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": 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"tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Description (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created by (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Active (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Short description (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation display", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Reassignment count (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work end", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Current Year Total Cases", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each distinct request made in the last year. The \"exclude\" is used to avoid filters interfering in the final result\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Close notes", + "nullable": false, + "description": "", + "type": { + "type": { + 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"Impact", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created by (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Priority (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated by (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval history (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Made SLA (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "% of Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the percentage of incidents which are overdue\r\n\r\n(IF ATTR([Overdue]= \"Overdue\")\r\nTHEN COUNTD([Number])\r\nEND)\r\n/\r\nATTR({ EXCLUDE [Overdue]:\r\nCOUNTD([Number])})", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Workflow", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Location (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Class", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created from item design", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business service", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Upon approval (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Knowledge (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Migrated Data", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.ArrayType": {} + } + }, + "nativeDataType": "TABLE", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Parent (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Company (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assigned to (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Closed by (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Roles", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "SLA due", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Short description (Catalog Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Hide price (mobile listings)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work start", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business duration (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assignment group", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Upon reject (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Availability", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Vendor", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work notes list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Picture", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Group list (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work notes list (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened by", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Watch list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Upon reject (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery plan script", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Order (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work end (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Sys ID", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Made SLA (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval set", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval history (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Sys ID (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work end (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Total Active Requests", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each distinct active request. The \"exclude\" is used to avoid filters interfering with the final result \r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Active]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery task (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Start closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation ID", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { 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"type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Order", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created by (Catalog Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + 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"entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD)", + "changeType": "UPSERT", + "aspectName": "upstreamLineage", + "aspect": { + "json": { + "upstreams": [ + { + "auditStamp": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.task,PROD)", + "type": "TRANSFORMED" + }, + { + "auditStamp": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.sys_user_group,PROD)", + "type": "TRANSFORMED" + }, + { + "auditStamp": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.problem,PROD)", + "type": "TRANSFORMED" + } + ], + "fineGrainedLineages": [ + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Overdue)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),% of Overdue)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows the percentage of incidents that are overdue\r\n\r\nIFNULL((IF ATTR([Overdue]= \"Overdue\")\r\nTHEN COUNTD([Number])\r\nEND),0)\r\n/\r\nATTR({ EXCLUDE [Overdue]:\r\nCOUNTD([Number])})", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Priority)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),% of critical and high priority)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows the percentage of critical or high priority problems\r\n\r\nCOUNTD(IF [Priority]=1\r\nOR [Priority]=2\r\nTHEN [Number]\r\nEND)\r\n/\r\nCOUNTD([Number])", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Known error)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),% of known error)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows the percentage of problems that are known errors\r\n\r\nCOUNTD(IF [Known error]=TRUE\r\nTHEN [Number] END)\r\n/\r\nCOUNTD([Number])", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Opened)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Age of Problems)" + ], + "transformOperation": "CalculatedFieldformula: //Calculates the age of active problems since opened until now\r\n\r\nDATEDIFF('second', [Opened], NOW())", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Opened)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Overdue)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Max Year?)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Current Year Total Cases)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It counts each disctinct problem. The \"exclude\" is used to avoid filters interfering with the result\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Opened)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Max Year?)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the max year of the dataset \r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Active)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Closed)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Due date)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Overdue)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It checks if an incident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\n{ FIXED [Number]:\r\n\r\nIF MAX([Active]=FALSE) \r\nAND\r\nmax([Closed])> max([Due date])\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\nMAX([Active]=TRUE) \r\nAND NOW()> MAX([Due date]) \r\n\r\nTHEN \"Overdue\"\r\nEND\r\n}", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Related Incidents)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Problems with Related Incidents)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It counts each distinct problems which has a related incident\r\n\r\nCOUNT(IF ([Related Incidents]>0\r\nAND NOT ISNULL([Related Incidents]))=true\r\nTHEN [Number]\r\nEND)", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Age of Problems)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Time Span Breakdown)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It groups problems accordingly with their ages\r\n\r\nIF [Age of Problems]< 2592000\r\nTHEN \"Under 30 d\"\r\nELSEIF [Age of Problems] > 7776000\r\nTHEN \"+ than 90d\"\r\nELSE \" 30-90 d\"\r\nEND", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Opened)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Total # Problems)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field using a level of detail calculation (LOD)\r\n// It counts each distinct problems ignoring date\r\n\r\n{ EXCLUDE [Opened]: COUNTD([Number])}", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Opened)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Overdue)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Max Year?)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Active)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Total Active Problems)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field using a level of detail calculation (LOD)\r\n// It counts each distinct active problem. The \"exclude\" is used to avoid filters interfering with the result \r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Active]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "confidenceScore": 1.0 + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.DatasetSnapshot": { + "urn": "urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/prod/tableau/Acryl/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": 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}, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work notes list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened by (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Parent (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + 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"urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation display (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval set (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Upon approval (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Follow up (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updates (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assigned to (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "% of Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the percentage of incidents that are overdue\r\n\r\nIFNULL((IF ATTR([Overdue]= \"Overdue\")\r\nTHEN COUNTD([Number])\r\nEND),0)\r\n/\r\nATTR({ EXCLUDE [Overdue]:\r\nCOUNTD([Number])})", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Sys ID (Group)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Time worked (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assignment group", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "SLA due", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created by", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Cost center", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery plan (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Activity due (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Group list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Roles", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Total # Problems", + "nullable": false, + "description": "formula: // This is a calculated field using a level of detail calculation (LOD)\r\n// It counts each distinct problems ignoring date\r\n\r\n{ EXCLUDE [Opened]: COUNTD([Number])}", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Additional comments", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Duration (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated by", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain Path (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Parent (Group)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Watch list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Due date (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business duration (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Urgency (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation ID", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work start (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Contact type", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Urgency", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Number of Records", + "nullable": false, + "description": "formula: 1", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Sys ID", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Manager", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Exclude manager", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Lucha", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Task type", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Made SLA", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Priority (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Description (Group)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Order (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Company", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Problems with Related Incidents", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each distinct problems which has a related incident\r\n\r\nCOUNT(IF ([Related Incidents]>0\r\nAND NOT ISNULL([Related Incidents]))=true\r\nTHEN [Number]\r\nEND)", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Follow up", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "User input (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Name", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Parent", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Related Incidents", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Watch list (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "State (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Closed by", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Task type (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Group list (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "User input", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Source", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Closed (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened by", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work start", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Additional assignee list (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "% of known error", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the percentage of problems that are known errors\r\n\r\nCOUNTD(IF [Known error]=TRUE\r\nTHEN [Number] END)\r\n/\r\nCOUNTD([Number])", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work end", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Problem state", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Upon approval", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Reassignment count (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Contact type (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Upon reject (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Close notes", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the max year of the dataset \r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Configuration item (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Short description", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Company (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work notes", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery plan", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Additional comments (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Knowledge (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Known error", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Group email", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Age of Problems", + "nullable": false, + "description": "formula: //Calculates the age of active problems since opened until now\r\n\r\nDATEDIFF('second', [Opened], NOW())", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Comments and Work notes", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Measure Values", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval history", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assigned to", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Impact (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated (Group)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "% of critical and high priority", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the percentage of critical or high priority problems\r\n\r\nCOUNTD(IF [Priority]=1\r\nOR [Priority]=2\r\nTHEN [Number]\r\nEND)\r\n/\r\nCOUNTD([Number])", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Configuration item", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business service (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Additional assignee list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Include members", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Order", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Measure Names", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Location", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Description (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Current Year Total Cases", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each disctinct problem. The \"exclude\" is used to avoid filters interfering with the result\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created (Group)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated by (Group)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Number (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "State", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval history (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Type", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work end (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Upon reject", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation ID (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assignment group (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Total Active Problems", + "nullable": false, + "description": "formula: // This is a calculated field using a level of detail calculation (LOD)\r\n// It counts each distinct active problem. The \"exclude\" is used to avoid filters interfering with the result \r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Active]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updates (Group)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + ] + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD)", + "changeType": "UPSERT", + "aspectName": "subTypes", + "aspect": { + "json": { + "typeNames": [ + "Embedded Data Source" + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc", + "urn": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc" + }, + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)", + "changeType": "UPSERT", + "aspectName": "upstreamLineage", + "aspect": { + "json": { + "upstreams": [ + { + "auditStamp": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.incident,PROD)", + "type": "TRANSFORMED" + }, + { + "auditStamp": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.task,PROD)", + "type": "TRANSFORMED" + }, + { + "auditStamp": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.cmdb_ci,PROD)", + "type": "TRANSFORMED" + } + ], + "fineGrainedLineages": [ + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Overdue)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),% of Overdue)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It show the percentage incidents which are overdue\r\n\r\n(IF ATTR([Overdue]=\"Overdue\")\r\nTHEN COUNTD([Number])\r\nEND)\r\n/\r\nATTR({ EXCLUDE [Overdue]:\r\nCOUNTD([Number])})", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Overdue)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Max Year?)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Current Year Total Cases)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field using level of detail calculation\r\n// It counts each distinct incident. The exclude is used to guarantee that filters will not interfere in the result\r\n\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Max Year?)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows TRUE/FALSE if opened date equals maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened Month Tooltip)" + ], + "transformOperation": "CalculatedFieldformula: // This is an IF statment using the opened field to allow for different formats\r\n// original used on columns for line charts are formatted in starting letter of month i.e. J for January\r\n// This version formats to full month name for the tooltip \r\n\r\n\r\n// The IF statement names the month based on the month number of the datefield\r\nIF DATEPART('month', [Opened]) = 1 THEN 'January'\r\nELSEIF DATEPART('month', [Opened]) = 2 THEN 'February'\r\nELSEIF DATEPART('month', [Opened]) = 3 THEN 'March'\r\nELSEIF DATEPART('month', [Opened]) = 4 THEN 'April'\r\nELSEIF DATEPART('month', [Opened]) = 5 THEN 'May'\r\nELSEIF DATEPART('month', [Opened]) = 6 THEN 'June'\r\nELSEIF DATEPART('month', [Opened]) = 7 THEN 'July'\r\nELSEIF DATEPART('month', [Opened]) = 8 THEN 'August'\r\nELSEIF DATEPART('month', [Opened]) = 9 THEN 'September'\r\nELSEIF DATEPART('month', [Opened]) = 10 THEN 'October'\r\nELSEIF DATEPART('month', [Opened]) = 11 THEN 'Novemeber'\r\nELSEIF DATEPART('month', [Opened]) = 12 THEN 'December'\r\nELSE NULL\r\nEND", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Number)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Closed)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Due date)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Overdue)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows if an incident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\n{ FIXED [Number]:\r\n\r\nIF MAX([Active]=FALSE) \r\nAND\r\nmax([Closed])>max([Due date])\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\nMAX([Active] = TRUE) \r\nAND NOW() > MAX([Due date]) \r\n\r\nTHEN \"Overdue\"\r\nEND\r\n}", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Closed)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Time to Close an Incident %28seconds%29)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It calculates the difference in seconds between opening and closing an incident\r\n\r\n// Check if closed date is valid\r\nIF [Closed]>[Opened]\r\nTHEN\r\n//Calculate difference\r\nDATEDIFF('second', [Opened], [Closed])\r\nEND", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Time to Close an Incident %28seconds%29)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Time to Close an Incident)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It transforms time in seconds into DD:HH:MM:SS format\r\nSTR(INT(AVG([Time to Close an Incident (seconds)])/86400)) \r\n \r\n+ \" day(s) \" + \r\n \r\nIF (INT(AVG([Time to Close an Incident (seconds)])%86400/3600)) \r\n< 10 THEN \"0\" ELSE \"\" END + STR(INT(AVG([Time to Close an Incident (seconds)])%86400/3600))\r\n \r\n+ \":\" + \r\n \r\nIF INT(AVG([Time to Close an Incident (seconds)])%3600/60) \r\n< 10 THEN \"0\" ELSE \"\" END + STR(INT(AVG([Time to Close an Incident (seconds)])%3600/60)) \r\n \r\n \r\n+ \":\" + \r\n \r\nIF INT(AVG([Time to Close an Incident (seconds)]) %3600 %60) \r\n< 10 THEN \"0\" ELSE \"\" END + STR(INT(AVG([Time to Close an Incident (seconds)]) %3600 %60))", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Overdue)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Max Year?)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Total Active Incidents)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It counts each distinct incident. The \"exclude\" is used to avoid filters interfering in the final result\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Active]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "confidenceScore": 1.0 + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.DatasetSnapshot": { + "urn": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/prod/tableau/Acryl/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + }, + { + "com.linkedin.pegasus2avro.dataset.DatasetProperties": { + "customProperties": { + "hasExtracts": "True", + "extractLastRefreshTime": "2018-01-18T20:13:08Z", + "extractLastUpdateTime": "2018-01-18T20:13:08Z" + }, + "name": "Incidents", + "tags": [] + } + }, + { + "com.linkedin.pegasus2avro.schema.SchemaMetadata": { + "schemaName": "test", + "platform": "urn:li:dataPlatform:tableau", + "version": 0, + "created": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "hash": "", + "platformSchema": { + "com.linkedin.pegasus2avro.schema.OtherSchema": { + "rawSchema": "" + } + }, + "fields": [ + { + "fieldPath": "Assignment group", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Closed (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updates (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Attributes", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "User input", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "User input (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Short description (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Close notes", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Escalation (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Impact", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Close code (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Migrated Data", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.ArrayType": {} + } + }, + "nativeDataType": "TABLE", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery task (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created by", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated by (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Expected start", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Status", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Notify (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Due", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Closed by", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Upon approval", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Requires verification", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Maintenance schedule", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Escalation", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updates (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Parent", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain Path (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Location (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Upon reject", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Warranty expiration", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.DateType": {} + } + }, + "nativeDataType": "DATE", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "GL account", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Additional assignee list (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened by", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work notes", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Additional assignee list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work notes (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Company", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Knowledge", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Made SLA", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "First discovered", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval history (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Asset", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "% of Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It show the percentage incidents which are overdue\r\n\r\n(IF ATTR([Overdue]=\"Overdue\")\r\nTHEN COUNTD([Number])\r\nEND)\r\n/\r\nATTR({ EXCLUDE [Overdue]:\r\nCOUNTD([Number])})", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work start", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "SLA due", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Group list (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Duration (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assigned to (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Skip sync", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "DNS Domain", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Caller (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Department", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Resolved by (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation ID (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Current Year Total Cases", + "nullable": false, + "description": "formula: // This is a calculated field using level of detail calculation\r\n// It counts each distinct incident. The exclude is used to guarantee that filters will not interfere in the result\r\n\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Close notes (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Managed by", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Measure Names", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Model number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created by (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assignment group (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Location", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "PO number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Short description", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business resolve time (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Child Incidents (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "IP Address", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Configuration item", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Order (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Asset tag", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Due in", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated by", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Manufacturer", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation display", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business duration", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business service", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Checked out", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Category (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Fully qualified domain name", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Installed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Order", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Purchased", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.DateType": {} + } + }, + "nativeDataType": "DATE", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Lease contract", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Vendor", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows if an incident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\n{ FIXED [Number]:\r\n\r\nIF MAX([Active]=FALSE) \r\nAND\r\nmax([Closed])>max([Due date])\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\nMAX([Active] = TRUE) \r\nAND NOW() > MAX([Due date]) \r\n\r\nTHEN \"Overdue\"\r\nEND\r\n}", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Due date (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Additional comments", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval history", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Category (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Parent Incident (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Cost currency", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "SLA due (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Impact (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Subcategory (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened by (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Activity due (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Comments and Work notes", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Cost", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Reassignment count (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Urgency (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Monitor", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Watch list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval set", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Time worked", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Serial number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Model ID", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Parent (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Time to Close an Incident (seconds)", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It calculates the difference in seconds between opening and closing an incident\r\n\r\n// Check if closed date is valid\r\nIF [Closed]>[Opened]\r\nTHEN\r\n//Calculate difference\r\nDATEDIFF('second', [Opened], [Closed])\r\nEND", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Owned by", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Activity due", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Invoice number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated by (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval set (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Duration", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Start date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Ordered", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assigned to", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Follow up", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business duration (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Order received", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Discovery source", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Closed by (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work notes list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Total Active Incidents", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each distinct incident. The \"exclude\" is used to avoid filters interfering in the final result\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Active]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Class", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Description (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Operational status", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Expected start (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work notes list (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Resolve time (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Reopen count (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created by (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assigned to (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Most recent discovery", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Upon reject (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work end", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Company (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Knowledge (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if opened date equals maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Location (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Watch list (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery task", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Fault count", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Caused by Change (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Sys ID (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "MAC Address", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Name", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval group", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Priority (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Urgency", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery plan (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Company (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Additional comments (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business service (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Schedule", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Sys ID (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Supported by", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Configuration item (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Task type", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Support group", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Active (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation display (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Justification", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Change Request (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updates", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Incident state (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Made SLA (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened Month Tooltip", + "nullable": false, + "description": "formula: // This is an IF statment using the opened field to allow for different formats\r\n// original used on columns for line charts are formatted in starting letter of month i.e. J for January\r\n// This version formats to full month name for the tooltip \r\n\r\n\r\n// The IF statement names the month based on the month number of the datefield\r\nIF DATEPART('month', [Opened]) = 1 THEN 'January'\r\nELSEIF DATEPART('month', [Opened]) = 2 THEN 'February'\r\nELSEIF DATEPART('month', [Opened]) = 3 THEN 'March'\r\nELSEIF DATEPART('month', [Opened]) = 4 THEN 'April'\r\nELSEIF DATEPART('month', [Opened]) = 5 THEN 'May'\r\nELSEIF DATEPART('month', [Opened]) = 6 THEN 'June'\r\nELSEIF DATEPART('month', [Opened]) = 7 THEN 'July'\r\nELSEIF DATEPART('month', [Opened]) = 8 THEN 'August'\r\nELSEIF DATEPART('month', [Opened]) = 9 THEN 'September'\r\nELSEIF DATEPART('month', [Opened]) = 10 THEN 'October'\r\nELSEIF DATEPART('month', [Opened]) = 11 THEN 'Novemeber'\r\nELSEIF DATEPART('month', [Opened]) = 12 THEN 'December'\r\nELSE NULL\r\nEND", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Problem (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Measure Values", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Group list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Checked in", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Severity (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Number of Records", + "nullable": false, + "description": "formula: 1", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Time worked (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Cost center", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work end (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain Path", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Due date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Contact type", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + 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false + }, + { + "fieldPath": "Description", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Sys ID", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Comments and Work notes (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + 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Incident (seconds)]) %3600 %60))", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Upon approval (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + ] + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)", + "changeType": "UPSERT", + "aspectName": "subTypes", + "aspect": { + "json": { + "typeNames": [ + "Embedded Data Source" + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc", + "urn": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc" + }, + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,d8d4c0ea-3162-fa11-31e6-26675da44a38,PROD)", + "changeType": "UPSERT", + "aspectName": "upstreamLineage", + "aspect": { + "json": { + 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The \"exclude\" is used to avoid filters interfering in the final result\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Due date)", + "schemaField": { + "fieldPath": "Due date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Overdue)", + "schemaField": { + "fieldPath": "Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows if an accident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\nIF [Active]=FALSE \r\nAND\r\n[Closed]>[Due date]\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\n[Active]=TRUE \r\nAND NOW()>[Due date]\r\n\r\nTHEN \"Overdue\"\r\nELSE \"Non Overdue\"\r\nEND", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Total # Request)", + "schemaField": { + "fieldPath": "Total # Request", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the total number of problems ignoring opened date\r\n\r\n{ EXCLUDE [Opened]: COUNTD([Number])}", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Total Active Requests)", + "schemaField": { + "fieldPath": "Total Active Requests", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each distinct active request. The \"exclude\" is used to avoid filters interfering with the final result \r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Active]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": 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"tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,2b5351c1-535d-4a4a-1339-c51ddd6abf8a)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/site2/authoring/ExecutiveDashboard/ExecutiveDashboard/Top%2010%20Items%20by%20Requests%20and%20YoY%20Change", + "title": "Top 10 Items by Requests and YoY Change", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { 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"urn:li:chart:(tableau,2b5351c1-535d-4a4a-1339-c51ddd6abf8a)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,2b5351c1-535d-4a4a-1339-c51ddd6abf8a)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Closed)", + "schemaField": { + "fieldPath": "Closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Current Year Total Cases)", + "schemaField": { + "fieldPath": "Current Year Total Cases", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each distinct request made in the last year. The \"exclude\" is used to avoid filters interfering in the final result\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Due date)", + "schemaField": { + "fieldPath": "Due date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Name)", + "schemaField": { + "fieldPath": "Name", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Overdue)", + "schemaField": { + "fieldPath": "Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows if an accident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\nIF [Active]=FALSE \r\nAND\r\n[Closed]>[Due date]\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\n[Active]=TRUE \r\nAND NOW()>[Due date]\r\n\r\nTHEN \"Overdue\"\r\nELSE \"Non Overdue\"\r\nEND", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,2b73b9dd-4ec7-75ca-f2e9-fa1984ca8b72)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/site2/authoring/ExecutiveDashboard/ExecutiveDashboard/Opened%20Problems", + "title": "Opened Problems", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD)" + }, + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Site 2/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,2b73b9dd-4ec7-75ca-f2e9-fa1984ca8b72)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,2b73b9dd-4ec7-75ca-f2e9-fa1984ca8b72)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Closed)", + "schemaField": { + "fieldPath": "Closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Current Year Total Cases)", + "schemaField": { + "fieldPath": "Current Year Total Cases", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each disctinct problem. The \"exclude\" is used to avoid filters interfering with the result\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Due date)", + "schemaField": { + "fieldPath": "Due date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the max year of the dataset \r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Overdue)", + "schemaField": { + "fieldPath": "Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It checks if an incident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\n{ FIXED [Number]:\r\n\r\nIF MAX([Active]=FALSE) \r\nAND\r\nmax([Closed])> max([Due date])\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\nMAX([Active]=TRUE) \r\nAND NOW()> MAX([Due date]) \r\n\r\nTHEN \"Overdue\"\r\nEND\r\n}", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Total # Problems)", + "schemaField": { + "fieldPath": "Total # Problems", + "nullable": false, + "description": "formula: // This is a calculated field using a level of detail calculation (LOD)\r\n// It counts each distinct problems ignoring date\r\n\r\n{ EXCLUDE [Opened]: COUNTD([Number])}", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Total Active Problems)", + "schemaField": { + "fieldPath": "Total Active Problems", + "nullable": false, + "description": "formula: // This is a calculated field using a level of detail calculation (LOD)\r\n// It counts each distinct active problem. The \"exclude\" is used to avoid filters interfering with the result \r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Active]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,373c6466-bb0c-b319-8752-632456349261)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/site2/authoring/ExecutiveDashboard/ExecutiveDashboard/Overdue", + "title": "Overdue", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Site 2/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,373c6466-bb0c-b319-8752-632456349261)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,373c6466-bb0c-b319-8752-632456349261)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),% of Overdue)", + "schemaField": { + "fieldPath": "% of Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It show the percentage incidents which are overdue\r\n\r\n(IF ATTR([Overdue]=\"Overdue\")\r\nTHEN COUNTD([Number])\r\nEND)\r\n/\r\nATTR({ EXCLUDE [Overdue]:\r\nCOUNTD([Number])})", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Category %28Incident%29)", + "schemaField": { + "fieldPath": "Category (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Closed)", + "schemaField": { + "fieldPath": "Closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Due date)", + "schemaField": { + "fieldPath": "Due date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if opened date equals maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Overdue)", + "schemaField": { + "fieldPath": "Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows if an incident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\n{ FIXED [Number]:\r\n\r\nIF MAX([Active]=FALSE) \r\nAND\r\nmax([Closed])>max([Due date])\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\nMAX([Active] = TRUE) \r\nAND NOW() > MAX([Due date]) \r\n\r\nTHEN \"Overdue\"\r\nEND\r\n}", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,53b8dc2f-8ada-51f7-7422-fe82e9b803cc)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/site2/authoring/ExecutiveDashboard/ExecutiveDashboard/High%20and%20Critical%20Priority%20Problems", + "title": "High and Critical Priority Problems", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD)" + }, + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Site 2/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,53b8dc2f-8ada-51f7-7422-fe82e9b803cc)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,53b8dc2f-8ada-51f7-7422-fe82e9b803cc)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),% of critical and high priority)", + "schemaField": { + "fieldPath": "% of critical and high priority", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the percentage of critical or high priority problems\r\n\r\nCOUNTD(IF [Priority]=1\r\nOR [Priority]=2\r\nTHEN [Number]\r\nEND)\r\n/\r\nCOUNTD([Number])", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the max year of the dataset \r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,58af9ecf-b839-da50-65e1-2e1fa20e3362)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/site2/authoring/ExecutiveDashboard/ExecutiveDashboard/Total%20Incidents%20by%20Category%20and%20YoY%20Change", + "title": "Total Incidents by Category and YoY Change", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Site 2/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,58af9ecf-b839-da50-65e1-2e1fa20e3362)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,58af9ecf-b839-da50-65e1-2e1fa20e3362)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Category %28Incident%29)", + "schemaField": { + "fieldPath": "Category (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Closed)", + "schemaField": { + "fieldPath": "Closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Current Year Total Cases)", + "schemaField": { + "fieldPath": "Current Year Total Cases", + "nullable": false, + "description": "formula: // This is a calculated field using level of detail calculation\r\n// It counts each distinct incident. The exclude is used to guarantee that filters will not interfere in the result\r\n\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Due date)", + "schemaField": { + "fieldPath": "Due date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if opened date equals maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Overdue)", + "schemaField": { + "fieldPath": "Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows if an incident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\n{ FIXED [Number]:\r\n\r\nIF MAX([Active]=FALSE) \r\nAND\r\nmax([Closed])>max([Due date])\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\nMAX([Active] = TRUE) \r\nAND NOW() > MAX([Due date]) \r\n\r\nTHEN \"Overdue\"\r\nEND\r\n}", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,618b3e76-75c1-cb31-0c61-3f4890b72c31)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/site2/authoring/ExecutiveDashboard/ExecutiveDashboard/Known%20Errors", + "title": "Known Errors", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD)" + }, + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Site 2/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,618b3e76-75c1-cb31-0c61-3f4890b72c31)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,618b3e76-75c1-cb31-0c61-3f4890b72c31)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),% of known error)", + "schemaField": { + "fieldPath": "% of known error", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the percentage of problems that are known errors\r\n\r\nCOUNTD(IF [Known error]=TRUE\r\nTHEN [Number] END)\r\n/\r\nCOUNTD([Number])", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Known error)", + "schemaField": { + "fieldPath": "Known error", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the max year of the dataset \r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Problems with Related Incidents)", + "schemaField": { + "fieldPath": "Problems with Related Incidents", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each distinct problems which has a related incident\r\n\r\nCOUNT(IF ([Related Incidents]>0\r\nAND NOT ISNULL([Related Incidents]))=true\r\nTHEN [Number]\r\nEND)", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Related Incidents)", + "schemaField": { + "fieldPath": "Related Incidents", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,721c3c41-7a2b-16a8-3281-6f948a44be96)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/site2/authoring/ExecutiveDashboard/ExecutiveDashboard/Overdue%20Requests", + "title": "Overdue Requests", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD)" + }, + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Site 2/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,721c3c41-7a2b-16a8-3281-6f948a44be96)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,721c3c41-7a2b-16a8-3281-6f948a44be96)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),% of Overdue)", + "schemaField": { + "fieldPath": "% of Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the percentage of incidents which are overdue\r\n\r\n(IF ATTR([Overdue]= \"Overdue\")\r\nTHEN COUNTD([Number])\r\nEND)\r\n/\r\nATTR({ EXCLUDE [Overdue]:\r\nCOUNTD([Number])})", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Closed)", + "schemaField": { + "fieldPath": "Closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Due date)", + "schemaField": { + "fieldPath": "Due date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Overdue)", + "schemaField": { + "fieldPath": "Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows if an accident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\nIF [Active]=FALSE \r\nAND\r\n[Closed]>[Due date]\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\n[Active]=TRUE \r\nAND NOW()>[Due date]\r\n\r\nTHEN \"Overdue\"\r\nELSE \"Non Overdue\"\r\nEND", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,7ef184c1-5a41-5ec8-723e-ae44c20aa335)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/site2/authoring/ExecutiveDashboard/ExecutiveDashboard/AVG%20Time%20to%20Solve%20an%20Incident", + "title": "AVG Time to Solve an Incident", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Site 2/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,7ef184c1-5a41-5ec8-723e-ae44c20aa335)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,7ef184c1-5a41-5ec8-723e-ae44c20aa335)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Category %28Incident%29)", + "schemaField": { + "fieldPath": "Category (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Closed)", + "schemaField": { + "fieldPath": "Closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if opened date equals maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Time to Close an Incident %28seconds%29)", + "schemaField": { + "fieldPath": "Time to Close an Incident (seconds)", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It calculates the difference in seconds between opening and closing an incident\r\n\r\n// Check if closed date is valid\r\nIF [Closed]>[Opened]\r\nTHEN\r\n//Calculate difference\r\nDATEDIFF('second', [Opened], [Closed])\r\nEND", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Time to Close an Incident)", + "schemaField": { + "fieldPath": "Time to Close an Incident", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It transforms time in seconds into DD:HH:MM:SS format\r\nSTR(INT(AVG([Time to Close an Incident (seconds)])/86400)) \r\n \r\n+ \" day(s) \" + \r\n \r\nIF (INT(AVG([Time to Close an Incident (seconds)])%86400/3600)) \r\n< 10 THEN \"0\" ELSE \"\" END + STR(INT(AVG([Time to Close an Incident (seconds)])%86400/3600))\r\n \r\n+ \":\" + \r\n \r\nIF INT(AVG([Time to Close an Incident (seconds)])%3600/60) \r\n< 10 THEN \"0\" ELSE \"\" END + STR(INT(AVG([Time to Close an Incident (seconds)])%3600/60)) \r\n \r\n \r\n+ \":\" + \r\n \r\nIF INT(AVG([Time to Close an Incident (seconds)]) %3600 %60) \r\n< 10 THEN \"0\" ELSE \"\" END + STR(INT(AVG([Time to Close an Incident (seconds)]) %3600 %60))", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,7fbc77ba-0ab6-3727-0db3-d8402a804da5)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/site2/authoring/ExecutiveDashboard/ExecutiveDashboard/Made%20SLA%3F", + "title": "Made SLA?", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD)" + }, + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Site 2/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,7fbc77ba-0ab6-3727-0db3-d8402a804da5)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,7fbc77ba-0ab6-3727-0db3-d8402a804da5)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),% made SLA)", + "schemaField": { + "fieldPath": "% made SLA", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the percentage of requests which made SLA\r\n\r\nCOUNTD(IF [Made SLA]= TRUE\r\nTHEN [Number]\r\nEND)\r\n/\r\nCOUNTD([Number])", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Made SLA)", + "schemaField": { + "fieldPath": "Made SLA", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,8385ea9a-0749-754f-7ad9-824433de2120)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/#/site/site2/views/ExecutiveDashboard/Tooltip-IncidentBreakdownbyPriority", + "title": "Tooltip - Incident Breakdown by Priority", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Site 2/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,8385ea9a-0749-754f-7ad9-824433de2120)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,8385ea9a-0749-754f-7ad9-824433de2120)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if opened date equals maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,b207c2f2-b675-32e3-2663-17bb836a018b)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/site2/authoring/ExecutiveDashboard/ExecutiveDashboard/Overdue%20Problems", + "title": "Overdue Problems", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD)" + }, + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Site 2/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,b207c2f2-b675-32e3-2663-17bb836a018b)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,b207c2f2-b675-32e3-2663-17bb836a018b)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),% of Overdue)", + "schemaField": { + "fieldPath": "% of Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the percentage of incidents that are overdue\r\n\r\nIFNULL((IF ATTR([Overdue]= \"Overdue\")\r\nTHEN COUNTD([Number])\r\nEND),0)\r\n/\r\nATTR({ EXCLUDE [Overdue]:\r\nCOUNTD([Number])})", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Closed)", + "schemaField": { + "fieldPath": "Closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Due date)", + "schemaField": { + "fieldPath": "Due date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the max year of the dataset \r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Overdue)", + "schemaField": { + "fieldPath": "Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It checks if an incident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\n{ FIXED [Number]:\r\n\r\nIF MAX([Active]=FALSE) \r\nAND\r\nmax([Closed])> max([Due date])\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\nMAX([Active]=TRUE) \r\nAND NOW()> MAX([Due date]) \r\n\r\nTHEN \"Overdue\"\r\nEND\r\n}", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": 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"com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Site 2/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,e70a540d-55ed-b9cc-5a3c-01ebe81a1274)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": 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"formula: //Calculates the age of active problems since opened until now\r\n\r\nDATEDIFF('second', [Opened], NOW())", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the max year of the dataset \r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Time Span Breakdown)", + "schemaField": { + "fieldPath": "Time Span Breakdown", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It groups problems accordingly with their ages\r\n\r\nIF [Age of Problems]< 2592000\r\nTHEN \"Under 30 d\"\r\nELSEIF [Age of Problems] > 7776000\r\nTHEN \"+ than 90d\"\r\nELSE \" 30-90 d\"\r\nEND", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,f76d3570-23b8-f74b-d85c-cc5484c2079c)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/site2/authoring/ExecutiveDashboard/ExecutiveDashboard/Opened%20Incidents", + "title": "Opened Incidents", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Site 2/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,f76d3570-23b8-f74b-d85c-cc5484c2079c)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,f76d3570-23b8-f74b-d85c-cc5484c2079c)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Category %28Incident%29)", + "schemaField": { + "fieldPath": "Category (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Closed)", + "schemaField": { + "fieldPath": "Closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Current Year Total Cases)", + "schemaField": { + "fieldPath": "Current Year Total Cases", + "nullable": false, + "description": "formula: // This is a calculated field using level of detail calculation\r\n// It counts each distinct incident. The exclude is used to guarantee that filters will not interfere in the result\r\n\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Due date)", + "schemaField": { + "fieldPath": "Due date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if opened date equals maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened Month Tooltip)", + "schemaField": { + "fieldPath": "Opened Month Tooltip", + "nullable": false, + "description": "formula: // This is an IF statment using the opened field to allow for different formats\r\n// original used on columns for line charts are formatted in starting letter of month i.e. J for January\r\n// This version formats to full month name for the tooltip \r\n\r\n\r\n// The IF statement names the month based on the month number of the datefield\r\nIF DATEPART('month', [Opened]) = 1 THEN 'January'\r\nELSEIF DATEPART('month', [Opened]) = 2 THEN 'February'\r\nELSEIF DATEPART('month', [Opened]) = 3 THEN 'March'\r\nELSEIF DATEPART('month', [Opened]) = 4 THEN 'April'\r\nELSEIF DATEPART('month', [Opened]) = 5 THEN 'May'\r\nELSEIF DATEPART('month', [Opened]) = 6 THEN 'June'\r\nELSEIF DATEPART('month', [Opened]) = 7 THEN 'July'\r\nELSEIF DATEPART('month', [Opened]) = 8 THEN 'August'\r\nELSEIF DATEPART('month', [Opened]) = 9 THEN 'September'\r\nELSEIF DATEPART('month', [Opened]) = 10 THEN 'October'\r\nELSEIF DATEPART('month', [Opened]) = 11 THEN 'Novemeber'\r\nELSEIF DATEPART('month', [Opened]) = 12 THEN 'December'\r\nELSE NULL\r\nEND", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Overdue)", + "schemaField": { + "fieldPath": "Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows if an incident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\n{ FIXED [Number]:\r\n\r\nIF MAX([Active]=FALSE) \r\nAND\r\nmax([Closed])>max([Due date])\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\nMAX([Active] = TRUE) \r\nAND NOW() > MAX([Due date]) \r\n\r\nTHEN \"Overdue\"\r\nEND\r\n}", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Total Active Incidents)", + "schemaField": { + "fieldPath": "Total Active Incidents", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each distinct incident. The \"exclude\" is used to avoid filters interfering in the final result\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Active]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,130496dc-29ca-8a89-e32b-d73c4d8b65ff)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + 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0, + "actor": "urn:li:corpuser:unknown" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.sc_cat_item,PROD)", + "type": "TRANSFORMED" + } + ], + "fineGrainedLineages": [ + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Made SLA)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),% made SLA)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows the percentage of requests which made SLA\r\n\r\nCOUNTD(IF [Made SLA]= TRUE\r\nTHEN [Number]\r\nEND)\r\n/\r\nCOUNTD([Number])", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Overdue)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),% of Overdue)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows the percentage of incidents which are overdue\r\n\r\n(IF ATTR([Overdue]= \"Overdue\")\r\nTHEN COUNTD([Number])\r\nEND)\r\n/\r\nATTR({ EXCLUDE [Overdue]:\r\nCOUNTD([Number])})", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Opened)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Overdue)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Max Year?)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Current Year Total Cases)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It counts each distinct request made in the last year. The \"exclude\" is used to avoid filters interfering in the final result\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Opened)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Max Year?)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Active)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Due date)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Overdue)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows if an accident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\nIF [Active]=FALSE \r\nAND\r\n[Closed]>[Due date]\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\n[Active]=TRUE \r\nAND NOW()>[Due date]\r\n\r\nTHEN \"Overdue\"\r\nELSE \"Non Overdue\"\r\nEND", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Opened)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Total # Request)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows the total number of problems ignoring opened date\r\n\r\n{ EXCLUDE [Opened]: COUNTD([Number])}", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Opened)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Overdue)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Active)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Max Year?)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Total Active Requests)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It counts each distinct active request. The \"exclude\" is used to avoid filters interfering with the final result \r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Active]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "confidenceScore": 1.0 + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.DatasetSnapshot": { + "urn": "urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/prod/tableau/Site 2/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + }, + { + "com.linkedin.pegasus2avro.dataset.DatasetProperties": { + "customProperties": { + "hasExtracts": "True", + "extractLastRefreshTime": "2018-01-18T19:35:39Z", + "extractLastUpdateTime": "2018-01-18T19:35:39Z" + }, + "name": "Requests", + "tags": [] + } + }, + { + "com.linkedin.pegasus2avro.schema.SchemaMetadata": { + "schemaName": "test", + "platform": "urn:li:dataPlatform:tableau", + "version": 0, + "created": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "hash": "", + "platformSchema": { + "com.linkedin.pegasus2avro.schema.OtherSchema": { + "rawSchema": "" + } + }, + "fields": [ + { + "fieldPath": "Closed by (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Location", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Mobile Picture", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery task", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "% made SLA", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the percentage of requests which made SLA\r\n\r\nCOUNTD(IF [Made SLA]= TRUE\r\nTHEN [Number]\r\nEND)\r\n/\r\nCOUNTD([Number])", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Meta", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation ID (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain Path (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work notes (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Short description", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain Path (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated by (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Additional comments (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Recurring price", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Duration (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Contact type", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Total # Request", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the total number of problems ignoring opened date\r\n\r\n{ EXCLUDE [Opened]: COUNTD([Number])}", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Requested for date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.DateType": {} + } + }, + "nativeDataType": "DATE", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Upon approval", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Ordered item link", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Visible elsewhere", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Price", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Recurring Price Frequency (Catalog Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation display (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Order (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Group list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Update name", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Special instructions", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Execution Plan", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Visible on Bundles", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval set (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "No search", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Active (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Configuration item (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Due date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "List Price", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Company (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Additional assignee list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Expected start (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Task type (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Description (Catalog Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Escalation (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, 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"type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Expected start", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Stage", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery task (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Request", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Description (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created by (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Active (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Short description (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation display", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Reassignment count (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work end", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Current Year Total Cases", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each distinct request made in the last year. The \"exclude\" is used to avoid filters interfering in the final result\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Close notes", + "nullable": false, + "description": "", + "type": { + "type": { + 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"fieldPath": "Delivery plan (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Resolve Time", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business duration", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated by (Catalog Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Task type (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Time worked (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Comments and Work notes (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Time worked (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Contact type (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Additional assignee list (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval history", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "State", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Group list (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Made SLA", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Knowledge (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Icon", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "User input (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Display name", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business service (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Reassignment count", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": 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false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Comments and Work notes (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Number of Records", + "nullable": false, + "description": "formula: 1", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work start (Request)", + "nullable": false, + 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"", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Availability", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Vendor", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work notes list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Picture", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Group list (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work notes list (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened by", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Watch list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Upon reject (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery plan script", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Order (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work end (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Sys ID", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Made SLA (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval set", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval history (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Sys ID (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work end (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Total Active Requests", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each distinct active request. The \"exclude\" is used to avoid filters interfering with the final result \r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Active]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery task (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Start closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation ID", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Request state", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business service (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Configuration item", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Description", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Activity due", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Cost", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain Path", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Order", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created by (Catalog Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + ] + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD)", + "changeType": "UPSERT", + "aspectName": "subTypes", + "aspect": { + "json": { + "typeNames": [ + "Embedded Data Source" + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD)", + "changeType": "UPSERT", + "aspectName": "upstreamLineage", + "aspect": { + "json": { + "upstreams": [ + { + "auditStamp": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.task,PROD)", + "type": "TRANSFORMED" + }, + { + "auditStamp": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.sys_user_group,PROD)", + "type": "TRANSFORMED" + }, + { + "auditStamp": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.problem,PROD)", + "type": "TRANSFORMED" + } + ], + "fineGrainedLineages": [ + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Overdue)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),% of Overdue)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows the percentage of incidents that are overdue\r\n\r\nIFNULL((IF ATTR([Overdue]= \"Overdue\")\r\nTHEN COUNTD([Number])\r\nEND),0)\r\n/\r\nATTR({ EXCLUDE [Overdue]:\r\nCOUNTD([Number])})", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Priority)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),% of critical and high priority)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows the percentage of critical or high priority problems\r\n\r\nCOUNTD(IF [Priority]=1\r\nOR [Priority]=2\r\nTHEN [Number]\r\nEND)\r\n/\r\nCOUNTD([Number])", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Known error)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),% of known error)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows the percentage of problems that are known errors\r\n\r\nCOUNTD(IF [Known error]=TRUE\r\nTHEN [Number] END)\r\n/\r\nCOUNTD([Number])", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Opened)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Age of Problems)" + ], + "transformOperation": "CalculatedFieldformula: //Calculates the age of active problems since opened until now\r\n\r\nDATEDIFF('second', [Opened], NOW())", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Opened)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Overdue)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Max Year?)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Current Year Total Cases)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It counts each disctinct problem. The \"exclude\" is used to avoid filters interfering with the result\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Opened)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Max Year?)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the max year of the dataset \r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Active)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Closed)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Due date)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Overdue)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It checks if an incident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\n{ FIXED [Number]:\r\n\r\nIF MAX([Active]=FALSE) \r\nAND\r\nmax([Closed])> max([Due date])\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\nMAX([Active]=TRUE) \r\nAND NOW()> MAX([Due date]) \r\n\r\nTHEN \"Overdue\"\r\nEND\r\n}", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Related Incidents)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Problems with Related Incidents)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It counts each distinct problems which has a related incident\r\n\r\nCOUNT(IF ([Related Incidents]>0\r\nAND NOT ISNULL([Related Incidents]))=true\r\nTHEN [Number]\r\nEND)", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Age of Problems)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Time Span Breakdown)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It groups problems accordingly with their ages\r\n\r\nIF [Age of Problems]< 2592000\r\nTHEN \"Under 30 d\"\r\nELSEIF [Age of Problems] > 7776000\r\nTHEN \"+ than 90d\"\r\nELSE \" 30-90 d\"\r\nEND", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Opened)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Total # Problems)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field using a level of detail calculation (LOD)\r\n// It counts each distinct problems ignoring date\r\n\r\n{ EXCLUDE [Opened]: COUNTD([Number])}", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Opened)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Overdue)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Max Year?)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Active)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Total Active Problems)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field using a level of detail calculation (LOD)\r\n// It counts each distinct active problem. The \"exclude\" is used to avoid filters interfering with the result \r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Active]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "confidenceScore": 1.0 + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.DatasetSnapshot": { + "urn": "urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/prod/tableau/Site 2/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": 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(Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery task", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work notes list (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work notes list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened by (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Parent (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Escalation (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "u", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Due date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Time Span Breakdown", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It groups problems accordingly with their ages\r\n\r\nIF [Age of Problems]< 2592000\r\nTHEN \"Under 30 d\"\r\nELSEIF [Age of Problems] > 7776000\r\nTHEN \"+ than 90d\"\r\nELSE \" 30-90 d\"\r\nEND", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Activity due", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Made SLA (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business duration", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "u_", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Change request", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Close notes (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation display (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval set (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Upon approval (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Follow up (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updates (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assigned to (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "% of Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the percentage of incidents that are overdue\r\n\r\nIFNULL((IF ATTR([Overdue]= \"Overdue\")\r\nTHEN COUNTD([Number])\r\nEND),0)\r\n/\r\nATTR({ EXCLUDE [Overdue]:\r\nCOUNTD([Number])})", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Sys ID (Group)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Time worked (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assignment group", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "SLA due", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created by", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Cost center", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery plan (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Activity due (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Group list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Roles", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Total # Problems", + "nullable": false, + "description": "formula: // This is a calculated field using a level of detail calculation (LOD)\r\n// It counts each distinct problems ignoring date\r\n\r\n{ EXCLUDE [Opened]: COUNTD([Number])}", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Additional comments", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Duration (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated by", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain Path (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Parent (Group)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Watch list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Due date (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business duration (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Urgency (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation ID", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work start (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Contact type", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Urgency", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Number of Records", + "nullable": false, + "description": "formula: 1", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Sys ID", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Manager", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Exclude manager", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Lucha", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Task type", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Made SLA", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Priority (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Description (Group)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Order (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Company", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Problems with Related Incidents", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each distinct problems which has a related incident\r\n\r\nCOUNT(IF ([Related Incidents]>0\r\nAND NOT ISNULL([Related Incidents]))=true\r\nTHEN [Number]\r\nEND)", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Follow up", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "User input (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Name", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Parent", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Related Incidents", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Watch list (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "State (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Closed by", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Task type (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Group list (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "User input", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Source", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Closed (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened by", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work start", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Additional assignee list (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "% of known error", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the percentage of problems that are known errors\r\n\r\nCOUNTD(IF [Known error]=TRUE\r\nTHEN [Number] END)\r\n/\r\nCOUNTD([Number])", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work end", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Problem state", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Upon approval", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Reassignment count (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Contact type (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Upon reject (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Close notes", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the max year of the dataset \r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Configuration item (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Short description", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Company (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work notes", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery plan", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Additional comments (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Knowledge (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Known error", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Group email", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Age of Problems", + "nullable": false, + "description": "formula: //Calculates the age of active problems since opened until now\r\n\r\nDATEDIFF('second', [Opened], NOW())", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Comments and Work notes", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Measure Values", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval history", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assigned to", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Impact (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated (Group)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "% of critical and high priority", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the percentage of critical or high priority problems\r\n\r\nCOUNTD(IF [Priority]=1\r\nOR [Priority]=2\r\nTHEN [Number]\r\nEND)\r\n/\r\nCOUNTD([Number])", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Configuration item", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business service (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Additional assignee list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Include members", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Order", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Measure Names", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Location", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Description (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Current Year Total Cases", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each disctinct problem. The \"exclude\" is used to avoid filters interfering with the result\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created (Group)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated by (Group)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Number (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "State", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval history (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Type", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work end (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Upon reject", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation ID (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assignment group (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Total Active Problems", + "nullable": false, + "description": "formula: // This is a calculated field using a level of detail calculation (LOD)\r\n// It counts each distinct active problem. The \"exclude\" is used to avoid filters interfering with the result \r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Active]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updates (Group)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + ] + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD)", + "changeType": "UPSERT", + "aspectName": "subTypes", + "aspect": { + "json": { + "typeNames": [ + "Embedded Data Source" + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)", + "changeType": "UPSERT", + "aspectName": "upstreamLineage", + "aspect": { + "json": { + "upstreams": [ + { + "auditStamp": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.incident,PROD)", + "type": "TRANSFORMED" + }, + { + "auditStamp": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.task,PROD)", + "type": "TRANSFORMED" + }, + { + "auditStamp": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.cmdb_ci,PROD)", + "type": "TRANSFORMED" + } + ], + "fineGrainedLineages": [ + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Overdue)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),% of Overdue)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It show the percentage incidents which are overdue\r\n\r\n(IF ATTR([Overdue]=\"Overdue\")\r\nTHEN COUNTD([Number])\r\nEND)\r\n/\r\nATTR({ EXCLUDE [Overdue]:\r\nCOUNTD([Number])})", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Overdue)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Max Year?)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Current Year Total Cases)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field using level of detail calculation\r\n// It counts each distinct incident. The exclude is used to guarantee that filters will not interfere in the result\r\n\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Max Year?)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows TRUE/FALSE if opened date equals maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened Month Tooltip)" + ], + "transformOperation": "CalculatedFieldformula: // This is an IF statment using the opened field to allow for different formats\r\n// original used on columns for line charts are formatted in starting letter of month i.e. J for January\r\n// This version formats to full month name for the tooltip \r\n\r\n\r\n// The IF statement names the month based on the month number of the datefield\r\nIF DATEPART('month', [Opened]) = 1 THEN 'January'\r\nELSEIF DATEPART('month', [Opened]) = 2 THEN 'February'\r\nELSEIF DATEPART('month', [Opened]) = 3 THEN 'March'\r\nELSEIF DATEPART('month', [Opened]) = 4 THEN 'April'\r\nELSEIF DATEPART('month', [Opened]) = 5 THEN 'May'\r\nELSEIF DATEPART('month', [Opened]) = 6 THEN 'June'\r\nELSEIF DATEPART('month', [Opened]) = 7 THEN 'July'\r\nELSEIF DATEPART('month', [Opened]) = 8 THEN 'August'\r\nELSEIF DATEPART('month', [Opened]) = 9 THEN 'September'\r\nELSEIF DATEPART('month', [Opened]) = 10 THEN 'October'\r\nELSEIF DATEPART('month', [Opened]) = 11 THEN 'Novemeber'\r\nELSEIF DATEPART('month', [Opened]) = 12 THEN 'December'\r\nELSE NULL\r\nEND", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Number)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Closed)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Due date)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Overdue)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows if an incident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\n{ FIXED [Number]:\r\n\r\nIF MAX([Active]=FALSE) \r\nAND\r\nmax([Closed])>max([Due date])\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\nMAX([Active] = TRUE) \r\nAND NOW() > MAX([Due date]) \r\n\r\nTHEN \"Overdue\"\r\nEND\r\n}", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Closed)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Time to Close an Incident %28seconds%29)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It calculates the difference in seconds between opening and closing an incident\r\n\r\n// Check if closed date is valid\r\nIF [Closed]>[Opened]\r\nTHEN\r\n//Calculate difference\r\nDATEDIFF('second', [Opened], [Closed])\r\nEND", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Time to Close an Incident %28seconds%29)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Time to Close an Incident)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It transforms time in seconds into DD:HH:MM:SS format\r\nSTR(INT(AVG([Time to Close an Incident (seconds)])/86400)) \r\n \r\n+ \" day(s) \" + \r\n \r\nIF (INT(AVG([Time to Close an Incident (seconds)])%86400/3600)) \r\n< 10 THEN \"0\" ELSE \"\" END + STR(INT(AVG([Time to Close an Incident (seconds)])%86400/3600))\r\n \r\n+ \":\" + \r\n \r\nIF INT(AVG([Time to Close an Incident (seconds)])%3600/60) \r\n< 10 THEN \"0\" ELSE \"\" END + STR(INT(AVG([Time to Close an Incident (seconds)])%3600/60)) \r\n \r\n \r\n+ \":\" + \r\n \r\nIF INT(AVG([Time to Close an Incident (seconds)]) %3600 %60) \r\n< 10 THEN \"0\" ELSE \"\" END + STR(INT(AVG([Time to Close an Incident (seconds)]) %3600 %60))", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + 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"isPartOfKey": false + }, + { + "fieldPath": "Work notes", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Additional assignee list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work notes (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Company", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Knowledge", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Made SLA", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "First discovered", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval history (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Asset", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "% of Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It show the percentage incidents which are overdue\r\n\r\n(IF ATTR([Overdue]=\"Overdue\")\r\nTHEN COUNTD([Number])\r\nEND)\r\n/\r\nATTR({ EXCLUDE [Overdue]:\r\nCOUNTD([Number])})", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work start", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "SLA due", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Group list (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Duration (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assigned to (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Skip sync", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "DNS Domain", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Caller (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] 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false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Current Year Total Cases", + "nullable": false, + "description": "formula: // This is a calculated field using level of detail calculation\r\n// It counts each distinct incident. The exclude is used to guarantee that filters will not interfere in the result\r\n\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Close notes (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Managed by", + "nullable": false, + "description": "", + "type": { + "type": { 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"fieldPath": "Created by (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assignment group (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Location", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "PO number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Short description", + "nullable": false, + "description": "", + "type": { + "type": { + 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"fieldPath": "Correlation display", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business duration", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business service", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Checked out", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Category (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Fully qualified domain name", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Installed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Order", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Purchased", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.DateType": {} + } + }, + "nativeDataType": "DATE", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Lease contract", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Vendor", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows if an incident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\n{ FIXED [Number]:\r\n\r\nIF MAX([Active]=FALSE) \r\nAND\r\nmax([Closed])>max([Due date])\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\nMAX([Active] = TRUE) \r\nAND NOW() > MAX([Due date]) \r\n\r\nTHEN \"Overdue\"\r\nEND\r\n}", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Due date (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Additional comments", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval history", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Category (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Parent Incident (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Cost currency", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "SLA due (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Impact (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Subcategory (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened by (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Activity due (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Comments and Work notes", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Cost", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Reassignment count (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Urgency (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Monitor", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Watch list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval set", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Time worked", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Serial number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Model ID", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Parent (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Time to Close an Incident (seconds)", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It calculates the difference in seconds between opening and closing an incident\r\n\r\n// Check if closed date is valid\r\nIF [Closed]>[Opened]\r\nTHEN\r\n//Calculate difference\r\nDATEDIFF('second', [Opened], [Closed])\r\nEND", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Owned by", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Activity due", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Invoice number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated by (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval set (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Duration", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Start date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Ordered", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assigned to", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Follow up", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business duration (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Order received", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Discovery source", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Closed by (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work notes list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Total Active Incidents", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each distinct incident. The \"exclude\" is used to avoid filters interfering in the final result\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Active]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Class", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Description (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Operational status", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Expected start (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work notes list (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Resolve time (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Reopen count (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created by (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assigned to (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Most recent discovery", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Upon reject (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work end", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Company (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Knowledge (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if opened date equals maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Location (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Watch list (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery task", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Fault count", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Caused by Change (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Sys ID (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "MAC Address", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Name", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval group", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Priority (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Urgency", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery plan (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Company (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Additional comments (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business service (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Schedule", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Sys ID (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Supported by", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Configuration item (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Task type", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Support group", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Active (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation display (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Justification", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Change Request (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updates", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Incident state (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Made SLA (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened Month Tooltip", + "nullable": false, + "description": "formula: // This is an IF statment using the opened field to allow for different formats\r\n// original used on columns for line charts are formatted in starting letter of month i.e. J for January\r\n// This version formats to full month name for the tooltip \r\n\r\n\r\n// The IF statement names the month based on the month number of the datefield\r\nIF DATEPART('month', [Opened]) = 1 THEN 'January'\r\nELSEIF DATEPART('month', [Opened]) = 2 THEN 'February'\r\nELSEIF DATEPART('month', [Opened]) = 3 THEN 'March'\r\nELSEIF DATEPART('month', [Opened]) = 4 THEN 'April'\r\nELSEIF DATEPART('month', [Opened]) = 5 THEN 'May'\r\nELSEIF DATEPART('month', [Opened]) = 6 THEN 'June'\r\nELSEIF DATEPART('month', [Opened]) = 7 THEN 'July'\r\nELSEIF DATEPART('month', [Opened]) = 8 THEN 'August'\r\nELSEIF DATEPART('month', [Opened]) = 9 THEN 'September'\r\nELSEIF DATEPART('month', [Opened]) = 10 THEN 'October'\r\nELSEIF DATEPART('month', [Opened]) = 11 THEN 'Novemeber'\r\nELSEIF DATEPART('month', [Opened]) = 12 THEN 'December'\r\nELSE NULL\r\nEND", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Problem (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Measure Values", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Group list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Checked in", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Severity (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Number of Records", + "nullable": false, + "description": "formula: 1", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Time worked (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Cost center", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work end (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain Path", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Due date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Contact type", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery plan", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Subcategory (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Description", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Sys ID", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Comments and Work notes (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Can Print", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation ID (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Number (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Follow up (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Task type (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain Path (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Description (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Reassignment count", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Contact type (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assignment group (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Comments", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "State", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work start (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation ID", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "State (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Resolved (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assigned", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Time to Close an Incident", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It transforms time in seconds into DD:HH:MM:SS format\r\nSTR(INT(AVG([Time to Close an Incident (seconds)])/86400)) \r\n \r\n+ \" day(s) \" + \r\n \r\nIF (INT(AVG([Time to Close an Incident (seconds)])%86400/3600)) \r\n< 10 THEN \"0\" ELSE \"\" END + STR(INT(AVG([Time to Close an Incident (seconds)])%86400/3600))\r\n \r\n+ \":\" + \r\n \r\nIF INT(AVG([Time to Close an Incident (seconds)])%3600/60) \r\n< 10 THEN \"0\" ELSE \"\" END + STR(INT(AVG([Time to Close an Incident (seconds)])%3600/60)) \r\n \r\n \r\n+ \":\" + \r\n \r\nIF INT(AVG([Time to Close an Incident (seconds)]) %3600 %60) \r\n< 10 THEN \"0\" ELSE \"\" END + STR(INT(AVG([Time to Close an Incident (seconds)]) %3600 %60))", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Upon approval (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + ] + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)", + "changeType": "UPSERT", + "aspectName": "subTypes", + "aspect": { + "json": { + "typeNames": [ + "Embedded Data Source" + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,d8d4c0ea-3162-fa11-31e6-26675da44a38,PROD)", + "changeType": "UPSERT", + "aspectName": "upstreamLineage", + "aspect": { + "json": { + "upstreams": [ + { + "auditStamp": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:tableau,00cce29f-b561-bb41-3557-8e19660bb5dd,PROD)", + "type": "TRANSFORMED" + } + ], + "fineGrainedLineages": [ + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,00cce29f-b561-bb41-3557-8e19660bb5dd,PROD),Custom SQL Query)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,d8d4c0ea-3162-fa11-31e6-26675da44a38,PROD),Custom SQL Query)" + ], + "transformOperation": "IDENTITY", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + 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"no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.sc_request,PROD)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.sys_user_group,PROD)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.task,PROD)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:ATTRIBUTE", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "ATTRIBUTE" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:BINFIELD", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "BINFIELD" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:CALCULATEDFIELD", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "CALCULATEDFIELD" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:COLUMNFIELD", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "COLUMNFIELD" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:COUNT", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "COUNT" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:DATASOURCEFIELD", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "DATASOURCEFIELD" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:DIMENSION", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "DIMENSION" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:GROUPFIELD", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "GROUPFIELD" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:HIERARCHYFIELD", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "HIERARCHYFIELD" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:MEASURE", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "MEASURE" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:SETFIELD", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "SETFIELD" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:SUM", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "SUM" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:TagSheet3", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "TagSheet3" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:YEAR", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "YEAR" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:tag on published datasource", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "tag on published datasource" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +} +] \ No newline at end of file diff --git a/metadata-ingestion/tests/integration/tableau/tableau_nested_project_mces_golden.json b/metadata-ingestion/tests/integration/tableau/tableau_nested_project_mces_golden.json index 2dbfa3dfe8172b..2aee4abc4d049f 100644 --- a/metadata-ingestion/tests/integration/tableau/tableau_nested_project_mces_golden.json +++ b/metadata-ingestion/tests/integration/tableau/tableau_nested_project_mces_golden.json @@ -1157,7 +1157,7 @@ "customProperties": { "luid": "f0779f9d-6765-47a9-a8f6-c740cfd27783" }, - "externalUrl": "https://do-not-connect/t/acryl/authoring/EmailPerformancebyCampaign/EmailPerformancebyCampaign/Timeline - Sent", + "externalUrl": "https://do-not-connect/t/acryl/authoring/EmailPerformancebyCampaign/EmailPerformancebyCampaign/Timeline%20-%20Sent", "title": "Timeline - Sent", "description": "", "lastModified": { @@ -1439,7 +1439,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/EmailPerformancebyCampaign/EmailPerformancebyCampaign/Campaign List", + "externalUrl": "https://do-not-connect/t/acryl/authoring/EmailPerformancebyCampaign/EmailPerformancebyCampaign/Campaign%20List", "title": "Campaign List", "description": "", "lastModified": { @@ -2627,7 +2627,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/EmailPerformancebyCampaign/EmailPerformancebyCampaign/Mobile - Sent by Campaign", + "externalUrl": "https://do-not-connect/t/acryl/authoring/EmailPerformancebyCampaign/EmailPerformancebyCampaign/Mobile%20-%20Sent%20by%20Campaign", "title": "Mobile - Sent by Campaign", "description": "", "lastModified": { @@ -3819,7 +3819,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Opened Requests", + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Opened%20Requests", "title": "Opened Requests", "description": "", "lastModified": { @@ -4327,7 +4327,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Top 10 Items by Requests and YoY Change", + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Top%2010%20Items%20by%20Requests%20and%20YoY%20Change", "title": "Top 10 Items by Requests and YoY Change", "description": "", "lastModified": { @@ -4803,7 +4803,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Opened Problems", + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Opened%20Problems", "title": "Opened Problems", "description": "", "lastModified": { @@ -5700,7 +5700,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/High and Critical Priority Problems", + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/High%20and%20Critical%20Priority%20Problems", "title": "High and Critical Priority Problems", "description": "", "lastModified": { @@ -6069,7 +6069,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Total Incidents by Category and YoY Change", + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Total%20Incidents%20by%20Category%20and%20YoY%20Change", "title": "Total Incidents by Category and YoY Change", "description": "", "lastModified": { @@ -6461,7 +6461,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Known Errors", + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Known%20Errors", "title": "Known Errors", "description": "", "lastModified": { @@ -6908,7 +6908,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Overdue Requests", + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Overdue%20Requests", "title": "Overdue Requests", "description": "", "lastModified": { @@ -7329,7 +7329,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/AVG Time to Solve an Incident", + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/AVG%20Time%20to%20Solve%20an%20Incident", "title": "AVG Time to Solve an Incident", "description": "", "lastModified": { @@ -7666,7 +7666,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Made SLA?", + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Made%20SLA%3F", "title": "Made SLA?", "description": "", "lastModified": { @@ -8294,7 +8294,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Overdue Problems", + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Overdue%20Problems", "title": "Overdue Problems", "description": "", "lastModified": { @@ -9453,7 +9453,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Age of Active Problems", + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Age%20of%20Active%20Problems", "title": "Age of Active Problems", "description": "", "lastModified": { @@ -9848,7 +9848,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Opened Incidents", + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Opened%20Incidents", "title": "Opened Incidents", "description": "", "lastModified": { diff --git a/metadata-ingestion/tests/integration/tableau/tableau_signout_timeout_mces_golden.json b/metadata-ingestion/tests/integration/tableau/tableau_signout_timeout_mces_golden.json index f0ed6adaad7c81..53d4a802541c35 100644 --- a/metadata-ingestion/tests/integration/tableau/tableau_signout_timeout_mces_golden.json +++ b/metadata-ingestion/tests/integration/tableau/tableau_signout_timeout_mces_golden.json @@ -898,7 +898,7 @@ "customProperties": { "luid": "f0779f9d-6765-47a9-a8f6-c740cfd27783" }, - "externalUrl": "https://do-not-connect/t/acryl/authoring/EmailPerformancebyCampaign/EmailPerformancebyCampaign/Timeline - Sent", + "externalUrl": "https://do-not-connect/t/acryl/authoring/EmailPerformancebyCampaign/EmailPerformancebyCampaign/Timeline%20-%20Sent", "title": "Timeline - Sent", "description": "", "lastModified": { @@ -1180,7 +1180,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/EmailPerformancebyCampaign/EmailPerformancebyCampaign/Campaign List", + "externalUrl": "https://do-not-connect/t/acryl/authoring/EmailPerformancebyCampaign/EmailPerformancebyCampaign/Campaign%20List", "title": "Campaign List", "description": "", "lastModified": { @@ -2368,7 +2368,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/EmailPerformancebyCampaign/EmailPerformancebyCampaign/Mobile - Sent by Campaign", + "externalUrl": "https://do-not-connect/t/acryl/authoring/EmailPerformancebyCampaign/EmailPerformancebyCampaign/Mobile%20-%20Sent%20by%20Campaign", "title": "Mobile - Sent by Campaign", "description": "", "lastModified": { @@ -3560,7 +3560,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Opened Requests", + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Opened%20Requests", "title": "Opened Requests", "description": "", "lastModified": { @@ -4068,7 +4068,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Top 10 Items by Requests and YoY Change", + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Top%2010%20Items%20by%20Requests%20and%20YoY%20Change", "title": "Top 10 Items by Requests and YoY Change", "description": "", "lastModified": { @@ -4544,7 +4544,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Opened Problems", + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Opened%20Problems", "title": "Opened Problems", "description": "", "lastModified": { @@ -5441,7 +5441,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/High and Critical Priority Problems", + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/High%20and%20Critical%20Priority%20Problems", "title": "High and Critical Priority Problems", "description": "", "lastModified": { @@ -5810,7 +5810,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Total Incidents by Category and YoY Change", + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Total%20Incidents%20by%20Category%20and%20YoY%20Change", "title": "Total Incidents by Category and YoY Change", "description": "", "lastModified": { @@ -6202,7 +6202,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Known Errors", + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Known%20Errors", "title": "Known Errors", "description": "", "lastModified": { @@ -6649,7 +6649,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Overdue Requests", + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Overdue%20Requests", "title": "Overdue Requests", "description": "", "lastModified": { @@ -7070,7 +7070,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/AVG Time to Solve an Incident", + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/AVG%20Time%20to%20Solve%20an%20Incident", "title": "AVG Time to Solve an Incident", "description": "", "lastModified": { @@ -7407,7 +7407,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Made SLA?", + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Made%20SLA%3F", "title": "Made SLA?", "description": "", "lastModified": { @@ -8035,7 +8035,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Overdue Problems", + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Overdue%20Problems", "title": "Overdue Problems", "description": "", "lastModified": { @@ -9194,7 +9194,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Age of Active Problems", + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Age%20of%20Active%20Problems", "title": "Age of Active Problems", "description": "", "lastModified": { @@ -9589,7 +9589,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Opened Incidents", + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Opened%20Incidents", "title": "Opened Incidents", "description": "", "lastModified": { diff --git a/metadata-ingestion/tests/integration/tableau/tableau_site_name_pattern_mces_golden.json b/metadata-ingestion/tests/integration/tableau/tableau_site_name_pattern_mces_golden.json new file mode 100644 index 00000000000000..4811e462acdb2e --- /dev/null +++ b/metadata-ingestion/tests/integration/tableau/tableau_site_name_pattern_mces_golden.json @@ -0,0 +1,44636 @@ +[ +{ + "entityType": 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The \"exclude\" is used to avoid filters interfering in the final result\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Due date)", + "schemaField": { + "fieldPath": "Due date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Overdue)", + "schemaField": { + "fieldPath": "Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows if an accident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\nIF [Active]=FALSE \r\nAND\r\n[Closed]>[Due date]\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\n[Active]=TRUE \r\nAND NOW()>[Due date]\r\n\r\nTHEN \"Overdue\"\r\nELSE \"Non Overdue\"\r\nEND", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Total # Request)", + "schemaField": { + "fieldPath": "Total # Request", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the total number of problems ignoring opened date\r\n\r\n{ EXCLUDE [Opened]: COUNTD([Number])}", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Total Active Requests)", + "schemaField": { + "fieldPath": "Total Active Requests", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each distinct active request. The \"exclude\" is used to avoid filters interfering with the final result \r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Active]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,20fc5eb7-81eb-aa18-8c39-af501c62d085)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:549dde2661c7ba205625767572f2d344", + "urn": "urn:li:container:549dde2661c7ba205625767572f2d344" + }, + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,2b5351c1-535d-4a4a-1339-c51ddd6abf8a)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/site2/authoring/ExecutiveDashboard/ExecutiveDashboard/Top%2010%20Items%20by%20Requests%20and%20YoY%20Change", + "title": "Top 10 Items by Requests and YoY Change", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD)" + }, + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Site 2/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,2b5351c1-535d-4a4a-1339-c51ddd6abf8a)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,2b5351c1-535d-4a4a-1339-c51ddd6abf8a)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Closed)", + "schemaField": { + "fieldPath": "Closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Current Year Total Cases)", + "schemaField": { + "fieldPath": "Current Year Total Cases", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each distinct request made in the last year. The \"exclude\" is used to avoid filters interfering in the final result\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Due date)", + "schemaField": { + "fieldPath": "Due date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Name)", + "schemaField": { + "fieldPath": "Name", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Overdue)", + "schemaField": { + "fieldPath": "Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows if an accident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\nIF [Active]=FALSE \r\nAND\r\n[Closed]>[Due date]\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\n[Active]=TRUE \r\nAND NOW()>[Due date]\r\n\r\nTHEN \"Overdue\"\r\nELSE \"Non Overdue\"\r\nEND", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,2b5351c1-535d-4a4a-1339-c51ddd6abf8a)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:549dde2661c7ba205625767572f2d344", + "urn": "urn:li:container:549dde2661c7ba205625767572f2d344" + }, + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,2b73b9dd-4ec7-75ca-f2e9-fa1984ca8b72)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/site2/authoring/ExecutiveDashboard/ExecutiveDashboard/Opened%20Problems", + "title": "Opened Problems", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD)" + }, + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Site 2/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,2b73b9dd-4ec7-75ca-f2e9-fa1984ca8b72)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,2b73b9dd-4ec7-75ca-f2e9-fa1984ca8b72)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Closed)", + "schemaField": { + "fieldPath": "Closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Current Year Total Cases)", + "schemaField": { + "fieldPath": "Current Year Total Cases", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each disctinct problem. The \"exclude\" is used to avoid filters interfering with the result\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Due date)", + "schemaField": { + "fieldPath": "Due date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the max year of the dataset \r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Overdue)", + "schemaField": { + "fieldPath": "Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It checks if an incident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\n{ FIXED [Number]:\r\n\r\nIF MAX([Active]=FALSE) \r\nAND\r\nmax([Closed])> max([Due date])\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\nMAX([Active]=TRUE) \r\nAND NOW()> MAX([Due date]) \r\n\r\nTHEN \"Overdue\"\r\nEND\r\n}", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Total # Problems)", + "schemaField": { + "fieldPath": "Total # Problems", + "nullable": false, + "description": "formula: // This is a calculated field using a level of detail calculation (LOD)\r\n// It counts each distinct problems ignoring date\r\n\r\n{ EXCLUDE [Opened]: COUNTD([Number])}", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Total Active Problems)", + "schemaField": { + "fieldPath": "Total Active Problems", + "nullable": false, + "description": "formula: // This is a calculated field using a level of detail calculation (LOD)\r\n// It counts each distinct active problem. The \"exclude\" is used to avoid filters interfering with the result \r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Active]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,2b73b9dd-4ec7-75ca-f2e9-fa1984ca8b72)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:549dde2661c7ba205625767572f2d344", + "urn": "urn:li:container:549dde2661c7ba205625767572f2d344" + }, + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,373c6466-bb0c-b319-8752-632456349261)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/site2/authoring/ExecutiveDashboard/ExecutiveDashboard/Overdue", + "title": "Overdue", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Site 2/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,373c6466-bb0c-b319-8752-632456349261)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,373c6466-bb0c-b319-8752-632456349261)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),% of Overdue)", + "schemaField": { + "fieldPath": "% of Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It show the percentage incidents which are overdue\r\n\r\n(IF ATTR([Overdue]=\"Overdue\")\r\nTHEN COUNTD([Number])\r\nEND)\r\n/\r\nATTR({ EXCLUDE [Overdue]:\r\nCOUNTD([Number])})", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Category %28Incident%29)", + "schemaField": { + "fieldPath": "Category (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Closed)", + "schemaField": { + "fieldPath": "Closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Due date)", + "schemaField": { + "fieldPath": "Due date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if opened date equals maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Overdue)", + "schemaField": { + "fieldPath": "Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows if an incident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\n{ FIXED [Number]:\r\n\r\nIF MAX([Active]=FALSE) \r\nAND\r\nmax([Closed])>max([Due date])\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\nMAX([Active] = TRUE) \r\nAND NOW() > MAX([Due date]) \r\n\r\nTHEN \"Overdue\"\r\nEND\r\n}", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,373c6466-bb0c-b319-8752-632456349261)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:549dde2661c7ba205625767572f2d344", + "urn": "urn:li:container:549dde2661c7ba205625767572f2d344" + }, + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,53b8dc2f-8ada-51f7-7422-fe82e9b803cc)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/site2/authoring/ExecutiveDashboard/ExecutiveDashboard/High%20and%20Critical%20Priority%20Problems", + "title": "High and Critical Priority Problems", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD)" + }, + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Site 2/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,53b8dc2f-8ada-51f7-7422-fe82e9b803cc)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,53b8dc2f-8ada-51f7-7422-fe82e9b803cc)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),% of critical and high priority)", + "schemaField": { + "fieldPath": "% of critical and high priority", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the percentage of critical or high priority problems\r\n\r\nCOUNTD(IF [Priority]=1\r\nOR [Priority]=2\r\nTHEN [Number]\r\nEND)\r\n/\r\nCOUNTD([Number])", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the max year of the dataset \r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,53b8dc2f-8ada-51f7-7422-fe82e9b803cc)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:549dde2661c7ba205625767572f2d344", + "urn": "urn:li:container:549dde2661c7ba205625767572f2d344" + }, + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,58af9ecf-b839-da50-65e1-2e1fa20e3362)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/site2/authoring/ExecutiveDashboard/ExecutiveDashboard/Total%20Incidents%20by%20Category%20and%20YoY%20Change", + "title": "Total Incidents by Category and YoY Change", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Site 2/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,58af9ecf-b839-da50-65e1-2e1fa20e3362)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,58af9ecf-b839-da50-65e1-2e1fa20e3362)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Category %28Incident%29)", + "schemaField": { + "fieldPath": "Category (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Closed)", + "schemaField": { + "fieldPath": "Closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Current Year Total Cases)", + "schemaField": { + "fieldPath": "Current Year Total Cases", + "nullable": false, + "description": "formula: // This is a calculated field using level of detail calculation\r\n// It counts each distinct incident. The exclude is used to guarantee that filters will not interfere in the result\r\n\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Due date)", + "schemaField": { + "fieldPath": "Due date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if opened date equals maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Overdue)", + "schemaField": { + "fieldPath": "Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows if an incident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\n{ FIXED [Number]:\r\n\r\nIF MAX([Active]=FALSE) \r\nAND\r\nmax([Closed])>max([Due date])\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\nMAX([Active] = TRUE) \r\nAND NOW() > MAX([Due date]) \r\n\r\nTHEN \"Overdue\"\r\nEND\r\n}", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,58af9ecf-b839-da50-65e1-2e1fa20e3362)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:549dde2661c7ba205625767572f2d344", + "urn": "urn:li:container:549dde2661c7ba205625767572f2d344" + }, + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,618b3e76-75c1-cb31-0c61-3f4890b72c31)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/site2/authoring/ExecutiveDashboard/ExecutiveDashboard/Known%20Errors", + "title": "Known Errors", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD)" + }, + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Site 2/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,618b3e76-75c1-cb31-0c61-3f4890b72c31)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,618b3e76-75c1-cb31-0c61-3f4890b72c31)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),% of known error)", + "schemaField": { + "fieldPath": "% of known error", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the percentage of problems that are known errors\r\n\r\nCOUNTD(IF [Known error]=TRUE\r\nTHEN [Number] END)\r\n/\r\nCOUNTD([Number])", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Known error)", + "schemaField": { + "fieldPath": "Known error", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the max year of the dataset \r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Problems with Related Incidents)", + "schemaField": { + "fieldPath": "Problems with Related Incidents", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each distinct problems which has a related incident\r\n\r\nCOUNT(IF ([Related Incidents]>0\r\nAND NOT ISNULL([Related Incidents]))=true\r\nTHEN [Number]\r\nEND)", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Related Incidents)", + "schemaField": { + "fieldPath": "Related Incidents", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,618b3e76-75c1-cb31-0c61-3f4890b72c31)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:549dde2661c7ba205625767572f2d344", + "urn": "urn:li:container:549dde2661c7ba205625767572f2d344" + }, + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,721c3c41-7a2b-16a8-3281-6f948a44be96)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/site2/authoring/ExecutiveDashboard/ExecutiveDashboard/Overdue%20Requests", + "title": "Overdue Requests", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD)" + }, + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Site 2/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,721c3c41-7a2b-16a8-3281-6f948a44be96)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,721c3c41-7a2b-16a8-3281-6f948a44be96)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),% of Overdue)", + "schemaField": { + "fieldPath": "% of Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the percentage of incidents which are overdue\r\n\r\n(IF ATTR([Overdue]= \"Overdue\")\r\nTHEN COUNTD([Number])\r\nEND)\r\n/\r\nATTR({ EXCLUDE [Overdue]:\r\nCOUNTD([Number])})", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Closed)", + "schemaField": { + "fieldPath": "Closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Due date)", + "schemaField": { + "fieldPath": "Due date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Overdue)", + "schemaField": { + "fieldPath": "Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows if an accident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\nIF [Active]=FALSE \r\nAND\r\n[Closed]>[Due date]\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\n[Active]=TRUE \r\nAND NOW()>[Due date]\r\n\r\nTHEN \"Overdue\"\r\nELSE \"Non Overdue\"\r\nEND", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,721c3c41-7a2b-16a8-3281-6f948a44be96)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:549dde2661c7ba205625767572f2d344", + "urn": "urn:li:container:549dde2661c7ba205625767572f2d344" + }, + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,7ef184c1-5a41-5ec8-723e-ae44c20aa335)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/site2/authoring/ExecutiveDashboard/ExecutiveDashboard/AVG%20Time%20to%20Solve%20an%20Incident", + "title": "AVG Time to Solve an Incident", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Site 2/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,7ef184c1-5a41-5ec8-723e-ae44c20aa335)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,7ef184c1-5a41-5ec8-723e-ae44c20aa335)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Category %28Incident%29)", + "schemaField": { + "fieldPath": "Category (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Closed)", + "schemaField": { + "fieldPath": "Closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if opened date equals maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Time to Close an Incident %28seconds%29)", + "schemaField": { + "fieldPath": "Time to Close an Incident (seconds)", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It calculates the difference in seconds between opening and closing an incident\r\n\r\n// Check if closed date is valid\r\nIF [Closed]>[Opened]\r\nTHEN\r\n//Calculate difference\r\nDATEDIFF('second', [Opened], [Closed])\r\nEND", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Time to Close an Incident)", + "schemaField": { + "fieldPath": "Time to Close an Incident", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It transforms time in seconds into DD:HH:MM:SS format\r\nSTR(INT(AVG([Time to Close an Incident (seconds)])/86400)) \r\n \r\n+ \" day(s) \" + \r\n \r\nIF (INT(AVG([Time to Close an Incident (seconds)])%86400/3600)) \r\n< 10 THEN \"0\" ELSE \"\" END + STR(INT(AVG([Time to Close an Incident (seconds)])%86400/3600))\r\n \r\n+ \":\" + \r\n \r\nIF INT(AVG([Time to Close an Incident (seconds)])%3600/60) \r\n< 10 THEN \"0\" ELSE \"\" END + STR(INT(AVG([Time to Close an Incident (seconds)])%3600/60)) \r\n \r\n \r\n+ \":\" + \r\n \r\nIF INT(AVG([Time to Close an Incident (seconds)]) %3600 %60) \r\n< 10 THEN \"0\" ELSE \"\" END + STR(INT(AVG([Time to Close an Incident (seconds)]) %3600 %60))", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,7ef184c1-5a41-5ec8-723e-ae44c20aa335)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:549dde2661c7ba205625767572f2d344", + "urn": "urn:li:container:549dde2661c7ba205625767572f2d344" + }, + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,7fbc77ba-0ab6-3727-0db3-d8402a804da5)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/site2/authoring/ExecutiveDashboard/ExecutiveDashboard/Made%20SLA%3F", + "title": "Made SLA?", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD)" + }, + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Site 2/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,7fbc77ba-0ab6-3727-0db3-d8402a804da5)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,7fbc77ba-0ab6-3727-0db3-d8402a804da5)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),% made SLA)", + "schemaField": { + "fieldPath": "% made SLA", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the percentage of requests which made SLA\r\n\r\nCOUNTD(IF [Made SLA]= TRUE\r\nTHEN [Number]\r\nEND)\r\n/\r\nCOUNTD([Number])", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Made SLA)", + "schemaField": { + "fieldPath": "Made SLA", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,7fbc77ba-0ab6-3727-0db3-d8402a804da5)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:549dde2661c7ba205625767572f2d344", + "urn": "urn:li:container:549dde2661c7ba205625767572f2d344" + }, + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,8385ea9a-0749-754f-7ad9-824433de2120)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/#/site/site2/views/ExecutiveDashboard/Tooltip-IncidentBreakdownbyPriority", + "title": "Tooltip - Incident Breakdown by Priority", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Site 2/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,8385ea9a-0749-754f-7ad9-824433de2120)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,8385ea9a-0749-754f-7ad9-824433de2120)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if opened date equals maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,8385ea9a-0749-754f-7ad9-824433de2120)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:549dde2661c7ba205625767572f2d344", + "urn": "urn:li:container:549dde2661c7ba205625767572f2d344" + }, + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,b207c2f2-b675-32e3-2663-17bb836a018b)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/site2/authoring/ExecutiveDashboard/ExecutiveDashboard/Overdue%20Problems", + "title": "Overdue Problems", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD)" + }, + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Site 2/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,b207c2f2-b675-32e3-2663-17bb836a018b)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,b207c2f2-b675-32e3-2663-17bb836a018b)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),% of Overdue)", + "schemaField": { + "fieldPath": "% of Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the percentage of incidents that are overdue\r\n\r\nIFNULL((IF ATTR([Overdue]= \"Overdue\")\r\nTHEN COUNTD([Number])\r\nEND),0)\r\n/\r\nATTR({ EXCLUDE [Overdue]:\r\nCOUNTD([Number])})", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Closed)", + "schemaField": { + "fieldPath": "Closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Due date)", + "schemaField": { + "fieldPath": "Due date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the max year of the dataset \r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Overdue)", + "schemaField": { + "fieldPath": "Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It checks if an incident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\n{ FIXED [Number]:\r\n\r\nIF MAX([Active]=FALSE) \r\nAND\r\nmax([Closed])> max([Due date])\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\nMAX([Active]=TRUE) \r\nAND NOW()> MAX([Due date]) \r\n\r\nTHEN \"Overdue\"\r\nEND\r\n}", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,b207c2f2-b675-32e3-2663-17bb836a018b)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:549dde2661c7ba205625767572f2d344", + "urn": "urn:li:container:549dde2661c7ba205625767572f2d344" + }, + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,b679da5e-7d03-f01e-b2ea-01fb3c1926dc)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/#/site/site2/views/ExecutiveDashboard/Tooltip-ProblemBreakdownbyPriority", + "title": "Tooltip - Problem Breakdown by Priority", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD)" + }, + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Site 2/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,b679da5e-7d03-f01e-b2ea-01fb3c1926dc)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,b679da5e-7d03-f01e-b2ea-01fb3c1926dc)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the max year of the dataset \r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,b679da5e-7d03-f01e-b2ea-01fb3c1926dc)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:549dde2661c7ba205625767572f2d344", + "urn": "urn:li:container:549dde2661c7ba205625767572f2d344" + }, + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,c14973c2-e1c3-563a-a9c1-8a408396d22a)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/#/site/site2/views/ExecutiveDashboard/Tooltip-RequestBreakdownbyPriority", + "title": "Tooltip - Request Breakdown by Priority", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD)" + }, + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Site 2/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,c14973c2-e1c3-563a-a9c1-8a408396d22a)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,c14973c2-e1c3-563a-a9c1-8a408396d22a)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if opened date equals maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,c14973c2-e1c3-563a-a9c1-8a408396d22a)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:549dde2661c7ba205625767572f2d344", + "urn": "urn:li:container:549dde2661c7ba205625767572f2d344" + }, + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,e70a540d-55ed-b9cc-5a3c-01ebe81a1274)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/site2/authoring/ExecutiveDashboard/ExecutiveDashboard/Age%20of%20Active%20Problems", + "title": "Age of Active Problems", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD)" + }, + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Site 2/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,e70a540d-55ed-b9cc-5a3c-01ebe81a1274)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,e70a540d-55ed-b9cc-5a3c-01ebe81a1274)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Age of Problems)", + "schemaField": { + "fieldPath": "Age of Problems", + "nullable": false, + "description": "formula: //Calculates the age of active problems since opened until now\r\n\r\nDATEDIFF('second', [Opened], NOW())", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the max year of the dataset \r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Time Span Breakdown)", + "schemaField": { + "fieldPath": "Time Span Breakdown", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It groups problems accordingly with their ages\r\n\r\nIF [Age of Problems]< 2592000\r\nTHEN \"Under 30 d\"\r\nELSEIF [Age of Problems] > 7776000\r\nTHEN \"+ than 90d\"\r\nELSE \" 30-90 d\"\r\nEND", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,e70a540d-55ed-b9cc-5a3c-01ebe81a1274)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:549dde2661c7ba205625767572f2d344", + "urn": "urn:li:container:549dde2661c7ba205625767572f2d344" + }, + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,f76d3570-23b8-f74b-d85c-cc5484c2079c)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/site2/authoring/ExecutiveDashboard/ExecutiveDashboard/Opened%20Incidents", + "title": "Opened Incidents", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Site 2/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,f76d3570-23b8-f74b-d85c-cc5484c2079c)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,f76d3570-23b8-f74b-d85c-cc5484c2079c)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Category %28Incident%29)", + "schemaField": { + "fieldPath": "Category (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Closed)", + "schemaField": { + "fieldPath": "Closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Current Year Total Cases)", + "schemaField": { + "fieldPath": "Current Year Total Cases", + "nullable": false, + "description": "formula: // This is a calculated field using level of detail calculation\r\n// It counts each distinct incident. The exclude is used to guarantee that filters will not interfere in the result\r\n\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Due date)", + "schemaField": { + "fieldPath": "Due date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if opened date equals maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened Month Tooltip)", + "schemaField": { + "fieldPath": "Opened Month Tooltip", + "nullable": false, + "description": "formula: // This is an IF statment using the opened field to allow for different formats\r\n// original used on columns for line charts are formatted in starting letter of month i.e. J for January\r\n// This version formats to full month name for the tooltip \r\n\r\n\r\n// The IF statement names the month based on the month number of the datefield\r\nIF DATEPART('month', [Opened]) = 1 THEN 'January'\r\nELSEIF DATEPART('month', [Opened]) = 2 THEN 'February'\r\nELSEIF DATEPART('month', [Opened]) = 3 THEN 'March'\r\nELSEIF DATEPART('month', [Opened]) = 4 THEN 'April'\r\nELSEIF DATEPART('month', [Opened]) = 5 THEN 'May'\r\nELSEIF DATEPART('month', [Opened]) = 6 THEN 'June'\r\nELSEIF DATEPART('month', [Opened]) = 7 THEN 'July'\r\nELSEIF DATEPART('month', [Opened]) = 8 THEN 'August'\r\nELSEIF DATEPART('month', [Opened]) = 9 THEN 'September'\r\nELSEIF DATEPART('month', [Opened]) = 10 THEN 'October'\r\nELSEIF DATEPART('month', [Opened]) = 11 THEN 'Novemeber'\r\nELSEIF DATEPART('month', [Opened]) = 12 THEN 'December'\r\nELSE NULL\r\nEND", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Overdue)", + "schemaField": { + "fieldPath": "Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows if an incident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\n{ FIXED [Number]:\r\n\r\nIF MAX([Active]=FALSE) \r\nAND\r\nmax([Closed])>max([Due date])\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\nMAX([Active] = TRUE) \r\nAND NOW() > MAX([Due date]) \r\n\r\nTHEN \"Overdue\"\r\nEND\r\n}", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Total Active Incidents)", + "schemaField": { + "fieldPath": "Total Active Incidents", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each distinct incident. The \"exclude\" is used to avoid filters interfering in the final result\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Active]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,f76d3570-23b8-f74b-d85c-cc5484c2079c)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:549dde2661c7ba205625767572f2d344", + "urn": "urn:li:container:549dde2661c7ba205625767572f2d344" + }, + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,130496dc-29ca-8a89-e32b-d73c4d8b65ff)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/#/site/site2/views/Workbookpublishedds/Sheet1", + "title": "published sheet ds", + "description": "", + "lastModified": { + "created": { + "time": 1641951867000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1642658093000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,d8d4c0ea-3162-fa11-31e6-26675da44a38,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Site 2/default/Workbook published ds" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,130496dc-29ca-8a89-e32b-d73c4d8b65ff)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:94e6e84b66f9ee8c70c22f06cfbad6a9" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,130496dc-29ca-8a89-e32b-d73c4d8b65ff)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,d8d4c0ea-3162-fa11-31e6-26675da44a38,PROD),amount)", + "schemaField": { + "fieldPath": "amount", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NullType": {} + } + }, + "nativeDataType": "UNKNOWN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DATASOURCEFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,d8d4c0ea-3162-fa11-31e6-26675da44a38,PROD),customer_first_name)", + "schemaField": { + "fieldPath": "customer_first_name", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NullType": {} + } + }, + "nativeDataType": "UNKNOWN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DATASOURCEFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,d8d4c0ea-3162-fa11-31e6-26675da44a38,PROD),staff_last_name)", + "schemaField": { + "fieldPath": "staff_last_name", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NullType": {} + } + }, + "nativeDataType": "UNKNOWN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DATASOURCEFIELD" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,130496dc-29ca-8a89-e32b-d73c4d8b65ff)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:549dde2661c7ba205625767572f2d344", + "urn": "urn:li:container:549dde2661c7ba205625767572f2d344" + }, + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:94e6e84b66f9ee8c70c22f06cfbad6a9", + "urn": "urn:li:container:94e6e84b66f9ee8c70c22f06cfbad6a9" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "dashboard", + "entityUrn": "urn:li:dashboard:(tableau,8f7dd564-36b6-593f-3c6f-687ad06cd40b)", + "changeType": "UPSERT", + "aspectName": "dashboardUsageStatistics", + "aspect": { + "json": { + "timestampMillis": 1638860400000, + "partitionSpec": { + "type": "FULL_TABLE", + "partition": "FULL_TABLE_SNAPSHOT" + }, + "viewsCount": 3 + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.DashboardSnapshot": { + "urn": "urn:li:dashboard:(tableau,8f7dd564-36b6-593f-3c6f-687ad06cd40b)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.dashboard.DashboardInfo": { + "customProperties": { + "luid": "fc9ea488-f810-4fa8-ac19-aa96018b5d66" + }, + "title": "Email Performance by Campaign", + "description": "", + "charts": [ + "urn:li:chart:(tableau,222d1406-de0e-cd8d-0b94-9b45a0007e59)", + "urn:li:chart:(tableau,38130558-4194-2e2a-3046-c0d887829cb4)", + "urn:li:chart:(tableau,692a2da4-2a82-32c1-f713-63b8e4325d86)", + "urn:li:chart:(tableau,f4317efd-c3e6-6ace-8fe6-e71b590bbbcc)" + ], + "datasets": [], + "lastModified": { + "created": { + "time": 1640200234000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1640200234000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "dashboardUrl": "https://do-not-connect/#/site/site2/views/EmailPerformancebyCampaign/EmailPerformancebyCampaign" + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Site 2/default/Email Performance by Campaign" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": 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"aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:549dde2661c7ba205625767572f2d344", + "urn": "urn:li:container:549dde2661c7ba205625767572f2d344" + }, + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:008e111aa1d250dd52e0fd5d4b307b1a", + "urn": "urn:li:container:008e111aa1d250dd52e0fd5d4b307b1a" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.DashboardSnapshot": { + "urn": "urn:li:dashboard:(tableau,20e44c22-1ccd-301a-220c-7b6837d09a52)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.dashboard.DashboardInfo": { + "customProperties": {}, + "title": "dvd Rental Dashboard", + "description": "", + "charts": [ + "urn:li:chart:(tableau,8a6a269a-d6de-fae4-5050-513255b40ffc)" + ], + "datasets": [], + "lastModified": { + "created": { + "time": 1639773866000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1642199995000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "dashboardUrl": "https://do-not-connect/#/site/site2/views/dvdrental/dvdRentalDashboard" + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Site 2/default/Dvdrental Workbook" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": 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"description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NullType": {} + } + }, + "nativeDataType": "UNKNOWN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DATASOURCEFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Profit (bin)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NullType": {} + } + }, + "nativeDataType": "UNKNOWN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DATASOURCEFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Segment", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NullType": {} + } + }, + "nativeDataType": "UNKNOWN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DATASOURCEFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Top Customers by Profit", + "nullable": false, + "description": 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{ + "com.linkedin.pegasus2avro.schema.NullType": {} + } + }, + "nativeDataType": "UNKNOWN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DATASOURCEFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Product Name", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NullType": {} + } + }, + "nativeDataType": "UNKNOWN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DATASOURCEFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Customer Name", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NullType": {} + } + }, + "nativeDataType": "UNKNOWN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DATASOURCEFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "State", + "nullable": false, + "description": "", + "type": { + "type": { + 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"urn:li:dataset:(urn:li:dataPlatform:tableau,d00f4ba6-707e-4684-20af-69eb47587cc2,PROD)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:fad3de4b86519c3edeb685215fe0bab1" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,d00f4ba6-707e-4684-20af-69eb47587cc2,PROD)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:549dde2661c7ba205625767572f2d344", + "urn": "urn:li:container:549dde2661c7ba205625767572f2d344" + }, + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:fad3de4b86519c3edeb685215fe0bab1", + "urn": "urn:li:container:fad3de4b86519c3edeb685215fe0bab1" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD)", + "changeType": "UPSERT", + "aspectName": "upstreamLineage", + "aspect": { + "json": { + "upstreams": [ + { + "auditStamp": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.task,PROD)", + "type": "TRANSFORMED" + }, + { + "auditStamp": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.sc_request,PROD)", + "type": "TRANSFORMED" + }, + { + "auditStamp": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.sc_req_item,PROD)", + "type": "TRANSFORMED" + }, + { + "auditStamp": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.sc_cat_item,PROD)", + "type": "TRANSFORMED" + } + ], + "fineGrainedLineages": [ + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Made SLA)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),% made SLA)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows the percentage of requests which made SLA\r\n\r\nCOUNTD(IF [Made SLA]= TRUE\r\nTHEN [Number]\r\nEND)\r\n/\r\nCOUNTD([Number])", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Overdue)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),% of Overdue)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows the percentage of incidents which are overdue\r\n\r\n(IF ATTR([Overdue]= \"Overdue\")\r\nTHEN COUNTD([Number])\r\nEND)\r\n/\r\nATTR({ EXCLUDE [Overdue]:\r\nCOUNTD([Number])})", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Opened)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Overdue)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Max Year?)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Current Year Total Cases)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It counts each distinct request made in the last year. The \"exclude\" is used to avoid filters interfering in the final result\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Opened)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Max Year?)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Active)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Due date)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Overdue)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows if an accident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\nIF [Active]=FALSE \r\nAND\r\n[Closed]>[Due date]\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\n[Active]=TRUE \r\nAND NOW()>[Due date]\r\n\r\nTHEN \"Overdue\"\r\nELSE \"Non Overdue\"\r\nEND", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Opened)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Total # Request)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows the total number of problems ignoring opened date\r\n\r\n{ EXCLUDE [Opened]: COUNTD([Number])}", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Opened)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Overdue)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Active)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Max Year?)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Total Active Requests)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It counts each distinct active request. The \"exclude\" is used to avoid filters interfering with the final result \r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Active]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "confidenceScore": 1.0 + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.DatasetSnapshot": { + "urn": "urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/prod/tableau/Site 2/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + }, + { + "com.linkedin.pegasus2avro.dataset.DatasetProperties": { + "customProperties": { + "hasExtracts": "True", + "extractLastRefreshTime": "2018-01-18T19:35:39Z", + "extractLastUpdateTime": "2018-01-18T19:35:39Z" + }, + "name": "Requests", + "tags": [] + } + }, + { + "com.linkedin.pegasus2avro.schema.SchemaMetadata": { + "schemaName": "test", + "platform": "urn:li:dataPlatform:tableau", + "version": 0, + "created": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "hash": "", + "platformSchema": { + "com.linkedin.pegasus2avro.schema.OtherSchema": { + "rawSchema": "" + } + }, + "fields": [ + { + "fieldPath": "Closed by (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Location", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Mobile Picture", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery task", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "% made SLA", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the percentage of requests which made SLA\r\n\r\nCOUNTD(IF [Made SLA]= TRUE\r\nTHEN [Number]\r\nEND)\r\n/\r\nCOUNTD([Number])", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Meta", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation ID (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain Path (Requested Item)", + "nullable": 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The \"exclude\" is used to avoid filters interfering in the final result\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Close notes", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updates (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Closed by", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery plan (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Resolve Time", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business duration", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated by (Catalog Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Task type (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Time worked (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Comments and Work notes (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Time worked (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Contact type (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Additional assignee list (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval history", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "State", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Group list (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Made SLA", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Knowledge (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Icon", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "User input (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Display name", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business service (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Reassignment count", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Number (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Duration", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Escalation", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Comments and Work notes (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Number of Records", + "nullable": false, + "description": "formula: 1", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work start (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Close notes (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "State (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Description (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "State (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "No proceed checkout", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Measure Values", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Watch list (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "SLA due (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Impact (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated by", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Sys ID (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Closed (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Activity due (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": 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"tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Made SLA (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval set", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval history (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Sys ID (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work end (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Total Active Requests", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each distinct active request. The \"exclude\" is used to avoid filters interfering with the final result \r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Active]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery task (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Start closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation ID", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Request state", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business service (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Configuration item", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Description", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Activity due", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Cost", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain Path", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Order", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created by (Catalog Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + ] + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD)", + "changeType": "UPSERT", + "aspectName": "subTypes", + "aspect": { + "json": { + "typeNames": [ + "Embedded Data Source" + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:549dde2661c7ba205625767572f2d344", + "urn": "urn:li:container:549dde2661c7ba205625767572f2d344" + }, + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD)", + "changeType": "UPSERT", + "aspectName": "upstreamLineage", + "aspect": { + "json": { + "upstreams": [ + { + "auditStamp": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.task,PROD)", + "type": "TRANSFORMED" + }, + { + "auditStamp": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.sys_user_group,PROD)", + "type": "TRANSFORMED" + }, + { + "auditStamp": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.problem,PROD)", + "type": "TRANSFORMED" + } + ], + "fineGrainedLineages": [ + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Overdue)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),% of Overdue)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows the percentage of incidents that are overdue\r\n\r\nIFNULL((IF ATTR([Overdue]= \"Overdue\")\r\nTHEN COUNTD([Number])\r\nEND),0)\r\n/\r\nATTR({ EXCLUDE [Overdue]:\r\nCOUNTD([Number])})", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Priority)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),% of critical and high priority)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows the percentage of critical or high priority problems\r\n\r\nCOUNTD(IF [Priority]=1\r\nOR [Priority]=2\r\nTHEN [Number]\r\nEND)\r\n/\r\nCOUNTD([Number])", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Known error)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),% of known error)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows the percentage of problems that are known errors\r\n\r\nCOUNTD(IF [Known error]=TRUE\r\nTHEN [Number] END)\r\n/\r\nCOUNTD([Number])", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Opened)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Age of Problems)" + ], + "transformOperation": "CalculatedFieldformula: //Calculates the age of active problems since opened until now\r\n\r\nDATEDIFF('second', [Opened], NOW())", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Opened)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Overdue)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Max Year?)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Current Year Total Cases)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It counts each disctinct problem. The \"exclude\" is used to avoid filters interfering with the result\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Opened)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Max Year?)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the max year of the dataset \r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Active)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Closed)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Due date)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Overdue)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It checks if an incident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\n{ FIXED [Number]:\r\n\r\nIF MAX([Active]=FALSE) \r\nAND\r\nmax([Closed])> max([Due date])\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\nMAX([Active]=TRUE) \r\nAND NOW()> MAX([Due date]) \r\n\r\nTHEN \"Overdue\"\r\nEND\r\n}", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Related Incidents)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Problems with Related Incidents)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It counts each distinct problems which has a related incident\r\n\r\nCOUNT(IF ([Related Incidents]>0\r\nAND NOT ISNULL([Related Incidents]))=true\r\nTHEN [Number]\r\nEND)", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Age of Problems)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Time Span Breakdown)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It groups problems accordingly with their ages\r\n\r\nIF [Age of Problems]< 2592000\r\nTHEN \"Under 30 d\"\r\nELSEIF [Age of Problems] > 7776000\r\nTHEN \"+ than 90d\"\r\nELSE \" 30-90 d\"\r\nEND", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Opened)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Total # Problems)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field using a level of detail calculation (LOD)\r\n// It counts each distinct problems ignoring date\r\n\r\n{ EXCLUDE [Opened]: COUNTD([Number])}", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Opened)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Overdue)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Max Year?)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Active)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Total Active Problems)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field using a level of detail calculation (LOD)\r\n// It counts each distinct active problem. The \"exclude\" is used to avoid filters interfering with the result \r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Active]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "confidenceScore": 1.0 + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.DatasetSnapshot": { + "urn": "urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/prod/tableau/Site 2/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": 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}, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work notes list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened by (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Parent (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Escalation (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "u", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Due date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Time Span Breakdown", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It groups problems accordingly with their ages\r\n\r\nIF [Age of Problems]< 2592000\r\nTHEN \"Under 30 d\"\r\nELSEIF [Age of Problems] > 7776000\r\nTHEN \"+ than 90d\"\r\nELSE \" 30-90 d\"\r\nEND", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Activity due", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Made SLA (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business duration", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "u_", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Change request", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Close notes (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation display (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval set (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Upon approval (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Follow up (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updates (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assigned to (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "% of Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the percentage of incidents that are overdue\r\n\r\nIFNULL((IF ATTR([Overdue]= \"Overdue\")\r\nTHEN COUNTD([Number])\r\nEND),0)\r\n/\r\nATTR({ EXCLUDE [Overdue]:\r\nCOUNTD([Number])})", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Sys ID (Group)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Time worked (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assignment group", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "SLA due", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created by", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Cost center", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery plan (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Activity due (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Group list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Roles", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Total # Problems", + "nullable": false, + "description": "formula: // This is a calculated field using a level of detail calculation (LOD)\r\n// It counts each distinct problems ignoring date\r\n\r\n{ EXCLUDE [Opened]: COUNTD([Number])}", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Additional comments", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Duration (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated by", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain Path (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Parent (Group)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Watch list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Due date (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business duration (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Urgency (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation ID", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work start (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Contact type", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Urgency", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Number of Records", + "nullable": false, + "description": "formula: 1", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Sys ID", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Manager", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Exclude manager", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Lucha", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Task type", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Made SLA", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Priority (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Description (Group)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Order (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Company", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Problems with Related Incidents", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each distinct problems which has a related incident\r\n\r\nCOUNT(IF ([Related Incidents]>0\r\nAND NOT ISNULL([Related Incidents]))=true\r\nTHEN [Number]\r\nEND)", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Follow up", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "User input (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Name", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Parent", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Related Incidents", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Watch list (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "State (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Closed by", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Task type (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Group list (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "User input", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Source", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Closed (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened by", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work start", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Additional assignee list (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "% of known error", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the percentage of problems that are known errors\r\n\r\nCOUNTD(IF [Known error]=TRUE\r\nTHEN [Number] END)\r\n/\r\nCOUNTD([Number])", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work end", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Problem state", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Upon approval", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Reassignment count (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Contact type (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Upon reject (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Close notes", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the max year of the dataset \r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Configuration item (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Short description", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Company (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work notes", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery plan", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Additional comments (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Knowledge (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Known error", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Group email", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Age of Problems", + "nullable": false, + "description": "formula: //Calculates the age of active problems since opened until now\r\n\r\nDATEDIFF('second', [Opened], NOW())", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Comments and Work notes", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Measure Values", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval history", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assigned to", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Impact (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated (Group)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "% of critical and high priority", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the percentage of critical or high priority problems\r\n\r\nCOUNTD(IF [Priority]=1\r\nOR [Priority]=2\r\nTHEN [Number]\r\nEND)\r\n/\r\nCOUNTD([Number])", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Configuration item", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business service (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Additional assignee list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Include members", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Order", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Measure Names", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Location", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Description (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Current Year Total Cases", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each disctinct problem. The \"exclude\" is used to avoid filters interfering with the result\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created (Group)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated by (Group)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Number (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "State", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval history (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Type", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work end (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Upon reject", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation ID (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assignment group (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Total Active Problems", + "nullable": false, + "description": "formula: // This is a calculated field using a level of detail calculation (LOD)\r\n// It counts each distinct active problem. The \"exclude\" is used to avoid filters interfering with the result \r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Active]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updates (Group)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + ] + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD)", + "changeType": "UPSERT", + "aspectName": "subTypes", + "aspect": { + "json": { + "typeNames": [ + "Embedded Data Source" + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:549dde2661c7ba205625767572f2d344", + "urn": "urn:li:container:549dde2661c7ba205625767572f2d344" + }, + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)", + "changeType": "UPSERT", + "aspectName": "upstreamLineage", + "aspect": { + "json": { + "upstreams": [ + { + "auditStamp": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.incident,PROD)", + "type": "TRANSFORMED" + }, + { + "auditStamp": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.task,PROD)", + "type": "TRANSFORMED" + }, + { + "auditStamp": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.cmdb_ci,PROD)", + "type": "TRANSFORMED" + } + ], + "fineGrainedLineages": [ + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Overdue)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),% of Overdue)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It show the percentage incidents which are overdue\r\n\r\n(IF ATTR([Overdue]=\"Overdue\")\r\nTHEN COUNTD([Number])\r\nEND)\r\n/\r\nATTR({ EXCLUDE [Overdue]:\r\nCOUNTD([Number])})", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Overdue)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Max Year?)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Current Year Total Cases)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field using level of detail calculation\r\n// It counts each distinct incident. The exclude is used to guarantee that filters will not interfere in the result\r\n\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Max Year?)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows TRUE/FALSE if opened date equals maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened Month Tooltip)" + ], + "transformOperation": "CalculatedFieldformula: // This is an IF statment using the opened field to allow for different formats\r\n// original used on columns for line charts are formatted in starting letter of month i.e. J for January\r\n// This version formats to full month name for the tooltip \r\n\r\n\r\n// The IF statement names the month based on the month number of the datefield\r\nIF DATEPART('month', [Opened]) = 1 THEN 'January'\r\nELSEIF DATEPART('month', [Opened]) = 2 THEN 'February'\r\nELSEIF DATEPART('month', [Opened]) = 3 THEN 'March'\r\nELSEIF DATEPART('month', [Opened]) = 4 THEN 'April'\r\nELSEIF DATEPART('month', [Opened]) = 5 THEN 'May'\r\nELSEIF DATEPART('month', [Opened]) = 6 THEN 'June'\r\nELSEIF DATEPART('month', [Opened]) = 7 THEN 'July'\r\nELSEIF DATEPART('month', [Opened]) = 8 THEN 'August'\r\nELSEIF DATEPART('month', [Opened]) = 9 THEN 'September'\r\nELSEIF DATEPART('month', [Opened]) = 10 THEN 'October'\r\nELSEIF DATEPART('month', [Opened]) = 11 THEN 'Novemeber'\r\nELSEIF DATEPART('month', [Opened]) = 12 THEN 'December'\r\nELSE NULL\r\nEND", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Number)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Closed)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Due date)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Overdue)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows if an incident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\n{ FIXED [Number]:\r\n\r\nIF MAX([Active]=FALSE) \r\nAND\r\nmax([Closed])>max([Due date])\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\nMAX([Active] = TRUE) \r\nAND NOW() > MAX([Due date]) \r\n\r\nTHEN \"Overdue\"\r\nEND\r\n}", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Closed)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Time to Close an Incident %28seconds%29)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It calculates the difference in seconds between opening and closing an incident\r\n\r\n// Check if closed date is valid\r\nIF [Closed]>[Opened]\r\nTHEN\r\n//Calculate difference\r\nDATEDIFF('second', [Opened], [Closed])\r\nEND", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Time to Close an Incident %28seconds%29)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Time to Close an Incident)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It transforms time in seconds into DD:HH:MM:SS format\r\nSTR(INT(AVG([Time to Close an Incident (seconds)])/86400)) \r\n \r\n+ \" day(s) \" + \r\n \r\nIF (INT(AVG([Time to Close an Incident (seconds)])%86400/3600)) \r\n< 10 THEN \"0\" ELSE \"\" END + STR(INT(AVG([Time to Close an Incident (seconds)])%86400/3600))\r\n \r\n+ \":\" + \r\n \r\nIF INT(AVG([Time to Close an Incident (seconds)])%3600/60) \r\n< 10 THEN \"0\" ELSE \"\" END + STR(INT(AVG([Time to Close an Incident (seconds)])%3600/60)) \r\n \r\n \r\n+ \":\" + \r\n \r\nIF INT(AVG([Time to Close an Incident (seconds)]) %3600 %60) \r\n< 10 THEN \"0\" ELSE \"\" END + STR(INT(AVG([Time to Close an Incident (seconds)]) %3600 %60))", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + 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"isPartOfKey": false + }, + { + "fieldPath": "Work notes", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Additional assignee list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work notes (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Company", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Knowledge", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Made SLA", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "First discovered", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval history (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Asset", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "% of Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It show the percentage incidents which are overdue\r\n\r\n(IF ATTR([Overdue]=\"Overdue\")\r\nTHEN COUNTD([Number])\r\nEND)\r\n/\r\nATTR({ EXCLUDE [Overdue]:\r\nCOUNTD([Number])})", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work start", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "SLA due", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Group list (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Duration (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assigned to (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Skip sync", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "DNS Domain", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Caller (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] 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false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Current Year Total Cases", + "nullable": false, + "description": "formula: // This is a calculated field using level of detail calculation\r\n// It counts each distinct incident. The exclude is used to guarantee that filters will not interfere in the result\r\n\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Close notes (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Managed by", + "nullable": false, + "description": "", + "type": { + "type": { 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"fieldPath": "Created by (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assignment group (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Location", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "PO number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Short description", + "nullable": false, + "description": "", + "type": { + "type": { + 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"fieldPath": "Correlation display", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business duration", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business service", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Checked out", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Category (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Fully qualified domain name", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Installed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Order", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Purchased", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.DateType": {} + } + }, + "nativeDataType": "DATE", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Lease contract", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Vendor", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows if an incident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\n{ FIXED [Number]:\r\n\r\nIF MAX([Active]=FALSE) \r\nAND\r\nmax([Closed])>max([Due date])\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\nMAX([Active] = TRUE) \r\nAND NOW() > MAX([Due date]) \r\n\r\nTHEN \"Overdue\"\r\nEND\r\n}", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Due date (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Additional comments", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval history", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Category (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Parent Incident (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Cost currency", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "SLA due (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Impact (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Subcategory (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened by (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Activity due (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Comments and Work notes", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Cost", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Reassignment count (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Urgency (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Monitor", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Watch list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval set", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Time worked", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Serial number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Model ID", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Parent (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Time to Close an Incident (seconds)", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It calculates the difference in seconds between opening and closing an incident\r\n\r\n// Check if closed date is valid\r\nIF [Closed]>[Opened]\r\nTHEN\r\n//Calculate difference\r\nDATEDIFF('second', [Opened], [Closed])\r\nEND", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Owned by", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Activity due", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Invoice number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated by (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval set (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Duration", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Start date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Ordered", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assigned to", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Follow up", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business duration (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Order received", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Discovery source", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Closed by (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work notes list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Total Active Incidents", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each distinct incident. The \"exclude\" is used to avoid filters interfering in the final result\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Active]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Class", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Description (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Operational status", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Expected start (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work notes list (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Resolve time (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Reopen count (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created by (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assigned to (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Most recent discovery", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Upon reject (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work end", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Company (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Knowledge (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if opened date equals maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Location (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Watch list (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery task", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Fault count", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Caused by Change (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Sys ID (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "MAC Address", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Name", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval group", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Priority (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Urgency", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery plan (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Company (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Additional comments (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business service (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Schedule", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Sys ID (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Supported by", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Configuration item (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Task type", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Support group", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Active (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation display (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Justification", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Change Request (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updates", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Incident state (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Made SLA (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened Month Tooltip", + "nullable": false, + "description": "formula: // This is an IF statment using the opened field to allow for different formats\r\n// original used on columns for line charts are formatted in starting letter of month i.e. J for January\r\n// This version formats to full month name for the tooltip \r\n\r\n\r\n// The IF statement names the month based on the month number of the datefield\r\nIF DATEPART('month', [Opened]) = 1 THEN 'January'\r\nELSEIF DATEPART('month', [Opened]) = 2 THEN 'February'\r\nELSEIF DATEPART('month', [Opened]) = 3 THEN 'March'\r\nELSEIF DATEPART('month', [Opened]) = 4 THEN 'April'\r\nELSEIF DATEPART('month', [Opened]) = 5 THEN 'May'\r\nELSEIF DATEPART('month', [Opened]) = 6 THEN 'June'\r\nELSEIF DATEPART('month', [Opened]) = 7 THEN 'July'\r\nELSEIF DATEPART('month', [Opened]) = 8 THEN 'August'\r\nELSEIF DATEPART('month', [Opened]) = 9 THEN 'September'\r\nELSEIF DATEPART('month', [Opened]) = 10 THEN 'October'\r\nELSEIF DATEPART('month', [Opened]) = 11 THEN 'Novemeber'\r\nELSEIF DATEPART('month', [Opened]) = 12 THEN 'December'\r\nELSE NULL\r\nEND", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Problem (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Measure Values", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Group list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Checked in", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Severity (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Number of Records", + "nullable": false, + "description": "formula: 1", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Time worked (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Cost center", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work end (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain Path", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Due date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Contact type", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery plan", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Subcategory (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Description", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Sys ID", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Comments and Work notes (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Can Print", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation ID (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Number (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Follow up (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Task type (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain Path (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Description (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Reassignment count", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Contact type (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assignment group (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Comments", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "State", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work start (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation ID", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "State (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Resolved (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assigned", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Time to Close an Incident", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It transforms time in seconds into DD:HH:MM:SS format\r\nSTR(INT(AVG([Time to Close an Incident (seconds)])/86400)) \r\n \r\n+ \" day(s) \" + \r\n \r\nIF (INT(AVG([Time to Close an Incident (seconds)])%86400/3600)) \r\n< 10 THEN \"0\" ELSE \"\" END + STR(INT(AVG([Time to Close an Incident (seconds)])%86400/3600))\r\n \r\n+ \":\" + \r\n \r\nIF INT(AVG([Time to Close an Incident (seconds)])%3600/60) \r\n< 10 THEN \"0\" ELSE \"\" END + STR(INT(AVG([Time to Close an Incident (seconds)])%3600/60)) \r\n \r\n \r\n+ \":\" + \r\n \r\nIF INT(AVG([Time to Close an Incident (seconds)]) %3600 %60) \r\n< 10 THEN \"0\" ELSE \"\" END + STR(INT(AVG([Time to Close an Incident (seconds)]) %3600 %60))", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Upon approval (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + ] + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)", + "changeType": "UPSERT", + "aspectName": "subTypes", + "aspect": { + "json": { + "typeNames": [ + "Embedded Data Source" + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:549dde2661c7ba205625767572f2d344", + "urn": "urn:li:container:549dde2661c7ba205625767572f2d344" + }, + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,d8d4c0ea-3162-fa11-31e6-26675da44a38,PROD)", + "changeType": "UPSERT", + "aspectName": "upstreamLineage", + "aspect": { + "json": { + 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"no-run-id-provided", + "pipelineName": "test_tableau_site_name_pattern_ingest" + } +} +] \ No newline at end of file diff --git a/metadata-ingestion/tests/integration/tableau/tableau_sites_as_container_mces_golden.json b/metadata-ingestion/tests/integration/tableau/tableau_sites_as_container_mces_golden.json new file mode 100644 index 00000000000000..9c83fdbc1d8798 --- /dev/null +++ b/metadata-ingestion/tests/integration/tableau/tableau_sites_as_container_mces_golden.json @@ -0,0 +1,44636 @@ +[ +{ + "entityType": "container", + "entityUrn": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc", + "changeType": "UPSERT", + "aspectName": "containerProperties", + "aspect": { + "json": { + "customProperties": { + "platform": "tableau", + "site_id": "190a6a5c-63ed-4de1-8045-site1" + }, + "name": "Acryl" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } 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"test_tableau_multiple_site_ingestion" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,20fc5eb7-81eb-aa18-8c39-af501c62d085)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Opened%20Requests", + "title": "Opened Requests", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD)" + }, + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Acryl/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,20fc5eb7-81eb-aa18-8c39-af501c62d085)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,20fc5eb7-81eb-aa18-8c39-af501c62d085)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Closed)", + "schemaField": { + "fieldPath": "Closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Current Year Total Cases)", + "schemaField": { + "fieldPath": "Current Year Total Cases", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each distinct request made in the last year. The \"exclude\" is used to avoid filters interfering in the final result\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Due date)", + "schemaField": { + "fieldPath": "Due date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Overdue)", + "schemaField": { + "fieldPath": "Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows if an accident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\nIF [Active]=FALSE \r\nAND\r\n[Closed]>[Due date]\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\n[Active]=TRUE \r\nAND NOW()>[Due date]\r\n\r\nTHEN \"Overdue\"\r\nELSE \"Non Overdue\"\r\nEND", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Total # Request)", + "schemaField": { + "fieldPath": "Total # Request", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the total number of problems ignoring opened date\r\n\r\n{ EXCLUDE [Opened]: COUNTD([Number])}", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Total Active Requests)", + "schemaField": { + "fieldPath": "Total Active Requests", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each distinct active request. The \"exclude\" is used to avoid filters interfering with the final result \r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Active]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,20fc5eb7-81eb-aa18-8c39-af501c62d085)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc", + "urn": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc" + }, + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,2b5351c1-535d-4a4a-1339-c51ddd6abf8a)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Top%2010%20Items%20by%20Requests%20and%20YoY%20Change", + "title": "Top 10 Items by Requests and YoY Change", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD)" + }, + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Acryl/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,2b5351c1-535d-4a4a-1339-c51ddd6abf8a)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,2b5351c1-535d-4a4a-1339-c51ddd6abf8a)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Closed)", + "schemaField": { + "fieldPath": "Closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Current Year Total Cases)", + "schemaField": { + "fieldPath": "Current Year Total Cases", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each distinct request made in the last year. The \"exclude\" is used to avoid filters interfering in the final result\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Due date)", + "schemaField": { + "fieldPath": "Due date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Name)", + "schemaField": { + "fieldPath": "Name", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Overdue)", + "schemaField": { + "fieldPath": "Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows if an accident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\nIF [Active]=FALSE \r\nAND\r\n[Closed]>[Due date]\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\n[Active]=TRUE \r\nAND NOW()>[Due date]\r\n\r\nTHEN \"Overdue\"\r\nELSE \"Non Overdue\"\r\nEND", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,2b5351c1-535d-4a4a-1339-c51ddd6abf8a)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc", + "urn": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc" + }, + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,2b73b9dd-4ec7-75ca-f2e9-fa1984ca8b72)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Opened%20Problems", + "title": "Opened Problems", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD)" + }, + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Acryl/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,2b73b9dd-4ec7-75ca-f2e9-fa1984ca8b72)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,2b73b9dd-4ec7-75ca-f2e9-fa1984ca8b72)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Closed)", + "schemaField": { + "fieldPath": "Closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Current Year Total Cases)", + "schemaField": { + "fieldPath": "Current Year Total Cases", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each disctinct problem. The \"exclude\" is used to avoid filters interfering with the result\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Due date)", + "schemaField": { + "fieldPath": "Due date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the max year of the dataset \r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Overdue)", + "schemaField": { + "fieldPath": "Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It checks if an incident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\n{ FIXED [Number]:\r\n\r\nIF MAX([Active]=FALSE) \r\nAND\r\nmax([Closed])> max([Due date])\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\nMAX([Active]=TRUE) \r\nAND NOW()> MAX([Due date]) \r\n\r\nTHEN \"Overdue\"\r\nEND\r\n}", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Total # Problems)", + "schemaField": { + "fieldPath": "Total # Problems", + "nullable": false, + "description": "formula: // This is a calculated field using a level of detail calculation (LOD)\r\n// It counts each distinct problems ignoring date\r\n\r\n{ EXCLUDE [Opened]: COUNTD([Number])}", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Total Active Problems)", + "schemaField": { + "fieldPath": "Total Active Problems", + "nullable": false, + "description": "formula: // This is a calculated field using a level of detail calculation (LOD)\r\n// It counts each distinct active problem. The \"exclude\" is used to avoid filters interfering with the result \r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Active]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,2b73b9dd-4ec7-75ca-f2e9-fa1984ca8b72)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc", + "urn": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc" + }, + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,373c6466-bb0c-b319-8752-632456349261)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Overdue", + "title": "Overdue", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Acryl/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,373c6466-bb0c-b319-8752-632456349261)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,373c6466-bb0c-b319-8752-632456349261)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),% of Overdue)", + "schemaField": { + "fieldPath": "% of Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It show the percentage incidents which are overdue\r\n\r\n(IF ATTR([Overdue]=\"Overdue\")\r\nTHEN COUNTD([Number])\r\nEND)\r\n/\r\nATTR({ EXCLUDE [Overdue]:\r\nCOUNTD([Number])})", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Category %28Incident%29)", + "schemaField": { + "fieldPath": "Category (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Closed)", + "schemaField": { + "fieldPath": "Closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Due date)", + "schemaField": { + "fieldPath": "Due date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if opened date equals maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Overdue)", + "schemaField": { + "fieldPath": "Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows if an incident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\n{ FIXED [Number]:\r\n\r\nIF MAX([Active]=FALSE) \r\nAND\r\nmax([Closed])>max([Due date])\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\nMAX([Active] = TRUE) \r\nAND NOW() > MAX([Due date]) \r\n\r\nTHEN \"Overdue\"\r\nEND\r\n}", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,373c6466-bb0c-b319-8752-632456349261)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc", + "urn": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc" + }, + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,53b8dc2f-8ada-51f7-7422-fe82e9b803cc)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/High%20and%20Critical%20Priority%20Problems", + "title": "High and Critical Priority Problems", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD)" + }, + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Acryl/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,53b8dc2f-8ada-51f7-7422-fe82e9b803cc)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,53b8dc2f-8ada-51f7-7422-fe82e9b803cc)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),% of critical and high priority)", + "schemaField": { + "fieldPath": "% of critical and high priority", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the percentage of critical or high priority problems\r\n\r\nCOUNTD(IF [Priority]=1\r\nOR [Priority]=2\r\nTHEN [Number]\r\nEND)\r\n/\r\nCOUNTD([Number])", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the max year of the dataset \r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,53b8dc2f-8ada-51f7-7422-fe82e9b803cc)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc", + "urn": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc" + }, + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,58af9ecf-b839-da50-65e1-2e1fa20e3362)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Total%20Incidents%20by%20Category%20and%20YoY%20Change", + "title": "Total Incidents by Category and YoY Change", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Acryl/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,58af9ecf-b839-da50-65e1-2e1fa20e3362)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,58af9ecf-b839-da50-65e1-2e1fa20e3362)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Category %28Incident%29)", + "schemaField": { + "fieldPath": "Category (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Closed)", + "schemaField": { + "fieldPath": "Closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Current Year Total Cases)", + "schemaField": { + "fieldPath": "Current Year Total Cases", + "nullable": false, + "description": "formula: // This is a calculated field using level of detail calculation\r\n// It counts each distinct incident. The exclude is used to guarantee that filters will not interfere in the result\r\n\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Due date)", + "schemaField": { + "fieldPath": "Due date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if opened date equals maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Overdue)", + "schemaField": { + "fieldPath": "Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows if an incident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\n{ FIXED [Number]:\r\n\r\nIF MAX([Active]=FALSE) \r\nAND\r\nmax([Closed])>max([Due date])\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\nMAX([Active] = TRUE) \r\nAND NOW() > MAX([Due date]) \r\n\r\nTHEN \"Overdue\"\r\nEND\r\n}", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,58af9ecf-b839-da50-65e1-2e1fa20e3362)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc", + "urn": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc" + }, + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, 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"urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD)" + }, + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Acryl/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,618b3e76-75c1-cb31-0c61-3f4890b72c31)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,618b3e76-75c1-cb31-0c61-3f4890b72c31)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),% of known error)", + "schemaField": { + "fieldPath": "% of known error", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the percentage of problems that are known errors\r\n\r\nCOUNTD(IF [Known error]=TRUE\r\nTHEN [Number] END)\r\n/\r\nCOUNTD([Number])", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Known error)", + "schemaField": { + "fieldPath": "Known error", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the max year of the dataset \r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Problems with Related Incidents)", + "schemaField": { + "fieldPath": "Problems with Related Incidents", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each distinct problems which has a related incident\r\n\r\nCOUNT(IF ([Related Incidents]>0\r\nAND NOT ISNULL([Related Incidents]))=true\r\nTHEN [Number]\r\nEND)", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Related Incidents)", + "schemaField": { + "fieldPath": "Related Incidents", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,618b3e76-75c1-cb31-0c61-3f4890b72c31)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc", + "urn": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc" + }, + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,721c3c41-7a2b-16a8-3281-6f948a44be96)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Overdue%20Requests", + "title": "Overdue Requests", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD)" + }, + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Acryl/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,721c3c41-7a2b-16a8-3281-6f948a44be96)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,721c3c41-7a2b-16a8-3281-6f948a44be96)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),% of Overdue)", + "schemaField": { + "fieldPath": "% of Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the percentage of incidents which are overdue\r\n\r\n(IF ATTR([Overdue]= \"Overdue\")\r\nTHEN COUNTD([Number])\r\nEND)\r\n/\r\nATTR({ EXCLUDE [Overdue]:\r\nCOUNTD([Number])})", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Closed)", + "schemaField": { + "fieldPath": "Closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Due date)", + "schemaField": { + "fieldPath": "Due date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Overdue)", + "schemaField": { + "fieldPath": "Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows if an accident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\nIF [Active]=FALSE \r\nAND\r\n[Closed]>[Due date]\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\n[Active]=TRUE \r\nAND NOW()>[Due date]\r\n\r\nTHEN \"Overdue\"\r\nELSE \"Non Overdue\"\r\nEND", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,721c3c41-7a2b-16a8-3281-6f948a44be96)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc", + "urn": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc" + }, + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,7ef184c1-5a41-5ec8-723e-ae44c20aa335)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/AVG%20Time%20to%20Solve%20an%20Incident", + "title": "AVG Time to Solve an Incident", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Acryl/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,7ef184c1-5a41-5ec8-723e-ae44c20aa335)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,7ef184c1-5a41-5ec8-723e-ae44c20aa335)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Category %28Incident%29)", + "schemaField": { + "fieldPath": "Category (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Closed)", + "schemaField": { + "fieldPath": "Closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if opened date equals maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Time to Close an Incident %28seconds%29)", + "schemaField": { + "fieldPath": "Time to Close an Incident (seconds)", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It calculates the difference in seconds between opening and closing an incident\r\n\r\n// Check if closed date is valid\r\nIF [Closed]>[Opened]\r\nTHEN\r\n//Calculate difference\r\nDATEDIFF('second', [Opened], [Closed])\r\nEND", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Time to Close an Incident)", + "schemaField": { + "fieldPath": "Time to Close an Incident", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It transforms time in seconds into DD:HH:MM:SS format\r\nSTR(INT(AVG([Time to Close an Incident (seconds)])/86400)) \r\n \r\n+ \" day(s) \" + \r\n \r\nIF (INT(AVG([Time to Close an Incident (seconds)])%86400/3600)) \r\n< 10 THEN \"0\" ELSE \"\" END + STR(INT(AVG([Time to Close an Incident (seconds)])%86400/3600))\r\n \r\n+ \":\" + \r\n \r\nIF INT(AVG([Time to Close an Incident (seconds)])%3600/60) \r\n< 10 THEN \"0\" ELSE \"\" END + STR(INT(AVG([Time to Close an Incident (seconds)])%3600/60)) \r\n \r\n \r\n+ \":\" + \r\n \r\nIF INT(AVG([Time to Close an Incident (seconds)]) %3600 %60) \r\n< 10 THEN \"0\" ELSE \"\" END + STR(INT(AVG([Time to Close an Incident (seconds)]) %3600 %60))", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,7ef184c1-5a41-5ec8-723e-ae44c20aa335)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc", + "urn": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc" + }, + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,7fbc77ba-0ab6-3727-0db3-d8402a804da5)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Made%20SLA%3F", + "title": "Made SLA?", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD)" + }, + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Acryl/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,7fbc77ba-0ab6-3727-0db3-d8402a804da5)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,7fbc77ba-0ab6-3727-0db3-d8402a804da5)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),% made SLA)", + "schemaField": { + "fieldPath": "% made SLA", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the percentage of requests which made SLA\r\n\r\nCOUNTD(IF [Made SLA]= TRUE\r\nTHEN [Number]\r\nEND)\r\n/\r\nCOUNTD([Number])", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Made SLA)", + "schemaField": { + "fieldPath": "Made SLA", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,7fbc77ba-0ab6-3727-0db3-d8402a804da5)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc", + "urn": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc" + }, + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,8385ea9a-0749-754f-7ad9-824433de2120)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/#/site/acryl/views/ExecutiveDashboard/Tooltip-IncidentBreakdownbyPriority", + "title": "Tooltip - Incident Breakdown by Priority", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Acryl/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,8385ea9a-0749-754f-7ad9-824433de2120)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,8385ea9a-0749-754f-7ad9-824433de2120)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if opened date equals maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,8385ea9a-0749-754f-7ad9-824433de2120)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc", + "urn": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc" + }, + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,b207c2f2-b675-32e3-2663-17bb836a018b)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Overdue%20Problems", + "title": "Overdue Problems", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD)" + }, + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Acryl/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,b207c2f2-b675-32e3-2663-17bb836a018b)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,b207c2f2-b675-32e3-2663-17bb836a018b)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),% of Overdue)", + "schemaField": { + "fieldPath": "% of Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the percentage of incidents that are overdue\r\n\r\nIFNULL((IF ATTR([Overdue]= \"Overdue\")\r\nTHEN COUNTD([Number])\r\nEND),0)\r\n/\r\nATTR({ EXCLUDE [Overdue]:\r\nCOUNTD([Number])})", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Closed)", + "schemaField": { + "fieldPath": "Closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Due date)", + "schemaField": { + "fieldPath": "Due date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the max year of the dataset \r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Overdue)", + "schemaField": { + "fieldPath": "Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It checks if an incident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\n{ FIXED [Number]:\r\n\r\nIF MAX([Active]=FALSE) \r\nAND\r\nmax([Closed])> max([Due date])\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\nMAX([Active]=TRUE) \r\nAND NOW()> MAX([Due date]) \r\n\r\nTHEN \"Overdue\"\r\nEND\r\n}", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,b207c2f2-b675-32e3-2663-17bb836a018b)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc", + "urn": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc" + }, + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,b679da5e-7d03-f01e-b2ea-01fb3c1926dc)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/#/site/acryl/views/ExecutiveDashboard/Tooltip-ProblemBreakdownbyPriority", + "title": "Tooltip - Problem Breakdown by Priority", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD)" + }, + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Acryl/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,b679da5e-7d03-f01e-b2ea-01fb3c1926dc)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,b679da5e-7d03-f01e-b2ea-01fb3c1926dc)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the max year of the dataset \r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,b679da5e-7d03-f01e-b2ea-01fb3c1926dc)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc", + "urn": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc" + }, + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,c14973c2-e1c3-563a-a9c1-8a408396d22a)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/#/site/acryl/views/ExecutiveDashboard/Tooltip-RequestBreakdownbyPriority", + "title": "Tooltip - Request Breakdown by Priority", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD)" + }, + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Acryl/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,c14973c2-e1c3-563a-a9c1-8a408396d22a)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,c14973c2-e1c3-563a-a9c1-8a408396d22a)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if opened date equals maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,c14973c2-e1c3-563a-a9c1-8a408396d22a)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc", + "urn": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc" + }, + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,e70a540d-55ed-b9cc-5a3c-01ebe81a1274)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Age%20of%20Active%20Problems", + "title": "Age of Active Problems", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD)" + }, + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Acryl/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,e70a540d-55ed-b9cc-5a3c-01ebe81a1274)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,e70a540d-55ed-b9cc-5a3c-01ebe81a1274)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Age of Problems)", + "schemaField": { + "fieldPath": "Age of Problems", + "nullable": false, + "description": "formula: //Calculates the age of active problems since opened until now\r\n\r\nDATEDIFF('second', [Opened], NOW())", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the max year of the dataset \r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Time Span Breakdown)", + "schemaField": { + "fieldPath": "Time Span Breakdown", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It groups problems accordingly with their ages\r\n\r\nIF [Age of Problems]< 2592000\r\nTHEN \"Under 30 d\"\r\nELSEIF [Age of Problems] > 7776000\r\nTHEN \"+ than 90d\"\r\nELSE \" 30-90 d\"\r\nEND", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,e70a540d-55ed-b9cc-5a3c-01ebe81a1274)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc", + "urn": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc" + }, + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,f76d3570-23b8-f74b-d85c-cc5484c2079c)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Opened%20Incidents", + "title": "Opened Incidents", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Acryl/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,f76d3570-23b8-f74b-d85c-cc5484c2079c)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,f76d3570-23b8-f74b-d85c-cc5484c2079c)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Category %28Incident%29)", + "schemaField": { + "fieldPath": "Category (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Closed)", + "schemaField": { + "fieldPath": "Closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Current Year Total Cases)", + "schemaField": { + "fieldPath": "Current Year Total Cases", + "nullable": false, + "description": "formula: // This is a calculated field using level of detail calculation\r\n// It counts each distinct incident. The exclude is used to guarantee that filters will not interfere in the result\r\n\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Due date)", + "schemaField": { + "fieldPath": "Due date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if opened date equals maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened Month Tooltip)", + "schemaField": { + "fieldPath": "Opened Month Tooltip", + "nullable": false, + "description": "formula: // This is an IF statment using the opened field to allow for different formats\r\n// original used on columns for line charts are formatted in starting letter of month i.e. J for January\r\n// This version formats to full month name for the tooltip \r\n\r\n\r\n// The IF statement names the month based on the month number of the datefield\r\nIF DATEPART('month', [Opened]) = 1 THEN 'January'\r\nELSEIF DATEPART('month', [Opened]) = 2 THEN 'February'\r\nELSEIF DATEPART('month', [Opened]) = 3 THEN 'March'\r\nELSEIF DATEPART('month', [Opened]) = 4 THEN 'April'\r\nELSEIF DATEPART('month', [Opened]) = 5 THEN 'May'\r\nELSEIF DATEPART('month', [Opened]) = 6 THEN 'June'\r\nELSEIF DATEPART('month', [Opened]) = 7 THEN 'July'\r\nELSEIF DATEPART('month', [Opened]) = 8 THEN 'August'\r\nELSEIF DATEPART('month', [Opened]) = 9 THEN 'September'\r\nELSEIF DATEPART('month', [Opened]) = 10 THEN 'October'\r\nELSEIF DATEPART('month', [Opened]) = 11 THEN 'Novemeber'\r\nELSEIF DATEPART('month', [Opened]) = 12 THEN 'December'\r\nELSE NULL\r\nEND", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Overdue)", + "schemaField": { + "fieldPath": "Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows if an incident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\n{ FIXED [Number]:\r\n\r\nIF MAX([Active]=FALSE) \r\nAND\r\nmax([Closed])>max([Due date])\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\nMAX([Active] = TRUE) \r\nAND NOW() > MAX([Due date]) \r\n\r\nTHEN \"Overdue\"\r\nEND\r\n}", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Total Active Incidents)", + "schemaField": { + "fieldPath": "Total Active Incidents", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each distinct incident. The \"exclude\" is used to avoid filters interfering in the final result\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Active]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,f76d3570-23b8-f74b-d85c-cc5484c2079c)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc", + "urn": 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"published sheet ds", + "description": "", + "lastModified": { + "created": { + "time": 1641951867000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1642658093000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,d8d4c0ea-3162-fa11-31e6-26675da44a38,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/Acryl/default/Workbook published ds" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,130496dc-29ca-8a89-e32b-d73c4d8b65ff)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:94e6e84b66f9ee8c70c22f06cfbad6a9" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,130496dc-29ca-8a89-e32b-d73c4d8b65ff)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,d8d4c0ea-3162-fa11-31e6-26675da44a38,PROD),amount)", + "schemaField": { + "fieldPath": "amount", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NullType": {} + } + }, + "nativeDataType": "UNKNOWN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DATASOURCEFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,d8d4c0ea-3162-fa11-31e6-26675da44a38,PROD),customer_first_name)", + "schemaField": { + "fieldPath": "customer_first_name", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NullType": {} + } + }, + "nativeDataType": "UNKNOWN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DATASOURCEFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,d8d4c0ea-3162-fa11-31e6-26675da44a38,PROD),staff_last_name)", + "schemaField": { + "fieldPath": "staff_last_name", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NullType": {} + } + }, + "nativeDataType": "UNKNOWN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": 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+ "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NullType": {} + } + }, + "nativeDataType": "UNKNOWN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DATASOURCEFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Category", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NullType": {} + } + }, + "nativeDataType": "UNKNOWN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DATASOURCEFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Regional Manager", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NullType": {} + } + }, + "nativeDataType": "UNKNOWN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DATASOURCEFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Postal Code", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NullType": {} + } + }, + "nativeDataType": "UNKNOWN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DATASOURCEFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Profit (bin)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NullType": {} + } + }, + "nativeDataType": "UNKNOWN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DATASOURCEFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Segment", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NullType": {} + } + }, + "nativeDataType": "UNKNOWN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DATASOURCEFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Top Customers by Profit", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NullType": {} + } + }, + "nativeDataType": "UNKNOWN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DATASOURCEFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Country/Region", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NullType": {} + } + }, + "nativeDataType": "UNKNOWN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DATASOURCEFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Discount", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NullType": {} + } + }, + "nativeDataType": "UNKNOWN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DATASOURCEFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Order Date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NullType": {} + } + }, + "nativeDataType": "UNKNOWN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DATASOURCEFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Product Name", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NullType": {} + } + }, + "nativeDataType": "UNKNOWN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DATASOURCEFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Customer Name", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NullType": {} + } + }, + "nativeDataType": "UNKNOWN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DATASOURCEFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "State", + "nullable": false, + "description": "", + "type": { + "type": { + 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"urn:li:dataset:(urn:li:dataPlatform:tableau,d00f4ba6-707e-4684-20af-69eb47587cc2,PROD)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:fad3de4b86519c3edeb685215fe0bab1" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,d00f4ba6-707e-4684-20af-69eb47587cc2,PROD)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc", + "urn": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc" + }, + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:fad3de4b86519c3edeb685215fe0bab1", + "urn": "urn:li:container:fad3de4b86519c3edeb685215fe0bab1" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD)", + "changeType": "UPSERT", + "aspectName": "upstreamLineage", + "aspect": { + "json": { + "upstreams": [ + { + "auditStamp": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.task,PROD)", + "type": "TRANSFORMED" + }, + { + "auditStamp": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.sc_request,PROD)", + "type": "TRANSFORMED" + }, + { + "auditStamp": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.sc_req_item,PROD)", + "type": "TRANSFORMED" + }, + { + "auditStamp": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.sc_cat_item,PROD)", + "type": "TRANSFORMED" + } + ], + "fineGrainedLineages": [ + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Made SLA)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),% made SLA)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows the percentage of requests which made SLA\r\n\r\nCOUNTD(IF [Made SLA]= TRUE\r\nTHEN [Number]\r\nEND)\r\n/\r\nCOUNTD([Number])", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Overdue)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),% of Overdue)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows the percentage of incidents which are overdue\r\n\r\n(IF ATTR([Overdue]= \"Overdue\")\r\nTHEN COUNTD([Number])\r\nEND)\r\n/\r\nATTR({ EXCLUDE [Overdue]:\r\nCOUNTD([Number])})", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Opened)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Overdue)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Max Year?)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Current Year Total Cases)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It counts each distinct request made in the last year. The \"exclude\" is used to avoid filters interfering in the final result\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Opened)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Max Year?)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Active)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Due date)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Overdue)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows if an accident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\nIF [Active]=FALSE \r\nAND\r\n[Closed]>[Due date]\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\n[Active]=TRUE \r\nAND NOW()>[Due date]\r\n\r\nTHEN \"Overdue\"\r\nELSE \"Non Overdue\"\r\nEND", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Opened)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Total # Request)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows the total number of problems ignoring opened date\r\n\r\n{ EXCLUDE [Opened]: COUNTD([Number])}", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Opened)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Overdue)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Active)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Max Year?)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Total Active Requests)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It counts each distinct active request. The \"exclude\" is used to avoid filters interfering with the final result \r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Active]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "confidenceScore": 1.0 + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.DatasetSnapshot": { + "urn": "urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/prod/tableau/Acryl/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + }, + { + "com.linkedin.pegasus2avro.dataset.DatasetProperties": { + "customProperties": { + "hasExtracts": "True", + "extractLastRefreshTime": "2018-01-18T19:35:39Z", + "extractLastUpdateTime": "2018-01-18T19:35:39Z" + }, + "name": "Requests", + "tags": [] + } + }, + { + "com.linkedin.pegasus2avro.schema.SchemaMetadata": { + "schemaName": "test", + "platform": "urn:li:dataPlatform:tableau", + "version": 0, + "created": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "hash": "", + "platformSchema": { + "com.linkedin.pegasus2avro.schema.OtherSchema": { + "rawSchema": "" + } + }, + "fields": [ + { + "fieldPath": "Closed by (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Location", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Mobile Picture", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery task", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "% made SLA", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the percentage of requests which made SLA\r\n\r\nCOUNTD(IF [Made SLA]= TRUE\r\nTHEN [Number]\r\nEND)\r\n/\r\nCOUNTD([Number])", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Meta", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation ID (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain Path (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work notes (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Short description", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain Path (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated by (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Additional comments (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Recurring price", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Duration (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Contact type", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Total # Request", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the total number of problems ignoring opened date\r\n\r\n{ EXCLUDE [Opened]: COUNTD([Number])}", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Requested for date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.DateType": {} + } + }, + "nativeDataType": "DATE", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Upon approval", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Ordered item link", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Visible elsewhere", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Price", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Recurring Price Frequency (Catalog Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation display (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Order (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Group list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Update name", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Special instructions", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Execution Plan", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Visible on Bundles", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval set (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "No search", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Active (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Configuration item (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Due date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "List Price", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Company (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Additional assignee list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Expected start (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Task type (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Description (Catalog Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Escalation (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Customer update", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Time worked", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Price (Catalog Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Due date (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Order Guide", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Package", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Watch list (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + 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"com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Short description (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation display", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Reassignment count (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work end", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Current Year Total Cases", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each distinct request made in the last year. The \"exclude\" is used to avoid filters interfering in the final result\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Close notes", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updates (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Closed by", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery plan (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Resolve Time", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business duration", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated by (Catalog Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Task type (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Time worked (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Comments and Work notes (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Time worked (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Contact type (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Additional assignee list (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval history", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "State", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Group list (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Made SLA", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Knowledge (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Icon", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "User input (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Display name", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business service (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Reassignment count", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Number (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Duration", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Escalation", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Comments and Work notes (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Number of Records", + "nullable": false, + "description": "formula: 1", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work start (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Close notes (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "State (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Description (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "State (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "No proceed checkout", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Measure Values", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Watch list (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "SLA due (Requested Item)", + 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"tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work notes list (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened by", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Watch list", + "nullable": false, + "description": "", + "type": { + "type": { + 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+ }, + { + "fieldPath": "Order (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work end (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Sys ID", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Made SLA (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval set", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval history (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Sys ID (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work end (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Total Active Requests", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each distinct active request. The \"exclude\" is used to avoid filters interfering with the final result \r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Active]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery task (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Start closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation ID", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Request state", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business service (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Configuration item", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Description", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Activity due", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Cost", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain Path", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Order", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created by (Catalog Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + ] + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD)", + "changeType": "UPSERT", + "aspectName": "subTypes", + "aspect": { + "json": { + "typeNames": [ + "Embedded Data Source" + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc", + "urn": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc" + }, + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD)", + "changeType": "UPSERT", + "aspectName": "upstreamLineage", + "aspect": { + "json": { + "upstreams": [ + { + "auditStamp": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.task,PROD)", + "type": "TRANSFORMED" + }, + { + "auditStamp": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.sys_user_group,PROD)", + "type": "TRANSFORMED" + }, + { + "auditStamp": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.problem,PROD)", + "type": "TRANSFORMED" + } + ], + "fineGrainedLineages": [ + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Overdue)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),% of Overdue)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows the percentage of incidents that are overdue\r\n\r\nIFNULL((IF ATTR([Overdue]= \"Overdue\")\r\nTHEN COUNTD([Number])\r\nEND),0)\r\n/\r\nATTR({ EXCLUDE [Overdue]:\r\nCOUNTD([Number])})", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Priority)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),% of critical and high priority)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows the percentage of critical or high priority problems\r\n\r\nCOUNTD(IF [Priority]=1\r\nOR [Priority]=2\r\nTHEN [Number]\r\nEND)\r\n/\r\nCOUNTD([Number])", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Known error)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),% of known error)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows the percentage of problems that are known errors\r\n\r\nCOUNTD(IF [Known error]=TRUE\r\nTHEN [Number] END)\r\n/\r\nCOUNTD([Number])", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Opened)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Age of Problems)" + ], + "transformOperation": "CalculatedFieldformula: //Calculates the age of active problems since opened until now\r\n\r\nDATEDIFF('second', [Opened], NOW())", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Opened)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Overdue)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Max Year?)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Current Year Total Cases)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It counts each disctinct problem. The \"exclude\" is used to avoid filters interfering with the result\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Opened)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Max Year?)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the max year of the dataset \r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Active)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Closed)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Due date)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Overdue)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It checks if an incident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\n{ FIXED [Number]:\r\n\r\nIF MAX([Active]=FALSE) \r\nAND\r\nmax([Closed])> max([Due date])\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\nMAX([Active]=TRUE) \r\nAND NOW()> MAX([Due date]) \r\n\r\nTHEN \"Overdue\"\r\nEND\r\n}", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Related Incidents)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Problems with Related Incidents)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It counts each distinct problems which has a related incident\r\n\r\nCOUNT(IF ([Related Incidents]>0\r\nAND NOT ISNULL([Related Incidents]))=true\r\nTHEN [Number]\r\nEND)", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Age of Problems)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Time Span Breakdown)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It groups problems accordingly with their ages\r\n\r\nIF [Age of Problems]< 2592000\r\nTHEN \"Under 30 d\"\r\nELSEIF [Age of Problems] > 7776000\r\nTHEN \"+ than 90d\"\r\nELSE \" 30-90 d\"\r\nEND", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Opened)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Total # Problems)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field using a level of detail calculation (LOD)\r\n// It counts each distinct problems ignoring date\r\n\r\n{ EXCLUDE [Opened]: COUNTD([Number])}", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Opened)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Overdue)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Max Year?)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Active)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Total Active Problems)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field using a level of detail calculation (LOD)\r\n// It counts each distinct active problem. The \"exclude\" is used to avoid filters interfering with the result \r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Active]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "confidenceScore": 1.0 + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.DatasetSnapshot": { + "urn": "urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/prod/tableau/Acryl/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": 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(Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery task", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work notes list (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work notes list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened by (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Parent (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Escalation (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "u", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Due date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Time Span Breakdown", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It groups problems accordingly with their ages\r\n\r\nIF [Age of Problems]< 2592000\r\nTHEN \"Under 30 d\"\r\nELSEIF [Age of Problems] > 7776000\r\nTHEN \"+ than 90d\"\r\nELSE \" 30-90 d\"\r\nEND", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Activity due", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Made SLA (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business duration", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "u_", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Change request", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Close notes (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation display (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval set (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Upon approval (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Follow up (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updates (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assigned to (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "% of Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the percentage of incidents that are overdue\r\n\r\nIFNULL((IF ATTR([Overdue]= \"Overdue\")\r\nTHEN COUNTD([Number])\r\nEND),0)\r\n/\r\nATTR({ EXCLUDE [Overdue]:\r\nCOUNTD([Number])})", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Sys ID (Group)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Time worked (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assignment group", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "SLA due", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created by", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Cost center", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery plan (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Activity due (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Group list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Roles", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Total # Problems", + "nullable": false, + "description": "formula: // This is a calculated field using a level of detail calculation (LOD)\r\n// It counts each distinct problems ignoring date\r\n\r\n{ EXCLUDE [Opened]: COUNTD([Number])}", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Additional comments", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Duration (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated by", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain Path (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Parent (Group)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Watch list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Due date (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business duration (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Urgency (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation ID", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work start (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Contact type", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Urgency", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Number of Records", + "nullable": false, + "description": "formula: 1", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Sys ID", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Manager", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Exclude manager", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Lucha", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Task type", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Made SLA", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Priority (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Description (Group)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Order (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Company", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Problems with Related Incidents", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each distinct problems which has a related incident\r\n\r\nCOUNT(IF ([Related Incidents]>0\r\nAND NOT ISNULL([Related Incidents]))=true\r\nTHEN [Number]\r\nEND)", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Follow up", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "User input (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Name", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Parent", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Related Incidents", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Watch list (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "State (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Closed by", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Task type (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Group list (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "User input", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Source", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Closed (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened by", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work start", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Additional assignee list (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "% of known error", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the percentage of problems that are known errors\r\n\r\nCOUNTD(IF [Known error]=TRUE\r\nTHEN [Number] END)\r\n/\r\nCOUNTD([Number])", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work end", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Problem state", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Upon approval", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Reassignment count (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Contact type (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Upon reject (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Close notes", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the max year of the dataset \r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Configuration item (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Short description", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Company (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work notes", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery plan", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Additional comments (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Knowledge (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Known error", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Group email", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Age of Problems", + "nullable": false, + "description": "formula: //Calculates the age of active problems since opened until now\r\n\r\nDATEDIFF('second', [Opened], NOW())", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Comments and Work notes", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Measure Values", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval history", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assigned to", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Impact (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated (Group)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "% of critical and high priority", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the percentage of critical or high priority problems\r\n\r\nCOUNTD(IF [Priority]=1\r\nOR [Priority]=2\r\nTHEN [Number]\r\nEND)\r\n/\r\nCOUNTD([Number])", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Configuration item", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business service (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Additional assignee list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Include members", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Order", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Measure Names", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Location", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Description (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Current Year Total Cases", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each disctinct problem. The \"exclude\" is used to avoid filters interfering with the result\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created (Group)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated by (Group)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Number (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "State", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval history (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Type", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work end (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Upon reject", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation ID (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assignment group (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Total Active Problems", + "nullable": false, + "description": "formula: // This is a calculated field using a level of detail calculation (LOD)\r\n// It counts each distinct active problem. The \"exclude\" is used to avoid filters interfering with the result \r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Active]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updates (Group)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + ] + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD)", + "changeType": "UPSERT", + "aspectName": "subTypes", + "aspect": { + "json": { + "typeNames": [ + "Embedded Data Source" + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc", + "urn": "urn:li:container:d60bc5427649a8dc937b4e2a510f84bc" + }, + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)", + "changeType": "UPSERT", + "aspectName": "upstreamLineage", + "aspect": { + "json": { + "upstreams": [ + { + "auditStamp": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.incident,PROD)", + "type": "TRANSFORMED" + }, + { + "auditStamp": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.task,PROD)", + "type": "TRANSFORMED" + }, + { + "auditStamp": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.cmdb_ci,PROD)", + "type": "TRANSFORMED" + } + ], + "fineGrainedLineages": [ + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Overdue)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),% of Overdue)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It show the percentage incidents which are overdue\r\n\r\n(IF ATTR([Overdue]=\"Overdue\")\r\nTHEN COUNTD([Number])\r\nEND)\r\n/\r\nATTR({ EXCLUDE [Overdue]:\r\nCOUNTD([Number])})", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Overdue)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Max Year?)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Current Year Total Cases)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field using level of detail calculation\r\n// It counts each distinct incident. The exclude is used to guarantee that filters will not interfere in the result\r\n\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Max Year?)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows TRUE/FALSE if opened date equals maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + 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"type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Additional assignee list (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened by", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + 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"globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Company", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Knowledge", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Made SLA", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "First discovered", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval history (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Asset", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "% of Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It show the percentage incidents which are overdue\r\n\r\n(IF ATTR([Overdue]=\"Overdue\")\r\nTHEN COUNTD([Number])\r\nEND)\r\n/\r\nATTR({ EXCLUDE [Overdue]:\r\nCOUNTD([Number])})", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work start", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "SLA due", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Group list (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Duration (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + 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"description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Caller (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] 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false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Current Year Total Cases", + "nullable": false, + "description": "formula: // This is a calculated field using level of detail calculation\r\n// It counts each distinct incident. 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"fieldPath": "Created by (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assignment group (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Location", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "PO number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Short description", + "nullable": false, + "description": "", + "type": { + "type": { + 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"fieldPath": "Correlation display", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business duration", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business service", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Checked out", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Category (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Fully qualified domain name", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Installed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Order", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Purchased", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.DateType": {} + } + }, + "nativeDataType": "DATE", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Lease contract", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Vendor", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows if an incident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\n{ FIXED [Number]:\r\n\r\nIF MAX([Active]=FALSE) \r\nAND\r\nmax([Closed])>max([Due date])\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\nMAX([Active] = TRUE) \r\nAND NOW() > MAX([Due date]) \r\n\r\nTHEN \"Overdue\"\r\nEND\r\n}", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Due date (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Additional comments", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval history", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Category (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Parent Incident (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Cost currency", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "SLA due (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Impact (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Subcategory (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened by (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Activity due (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Comments and Work notes", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Cost", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Reassignment count (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Urgency (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Monitor", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Watch list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval set", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Time worked", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Serial number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Model ID", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Parent (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Time to Close an Incident (seconds)", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It calculates the difference in seconds between opening and closing an incident\r\n\r\n// Check if closed date is valid\r\nIF [Closed]>[Opened]\r\nTHEN\r\n//Calculate difference\r\nDATEDIFF('second', [Opened], [Closed])\r\nEND", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Owned by", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Activity due", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Invoice number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated by (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval set (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Duration", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Start date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Ordered", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assigned to", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Follow up", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business duration (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Order received", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Discovery source", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Closed by (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work notes list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Total Active Incidents", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each distinct incident. The \"exclude\" is used to avoid filters interfering in the final result\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Active]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Class", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Description (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Operational status", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Expected start (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work notes list (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Resolve time (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Reopen count (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created by (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assigned to (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Most recent discovery", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Upon reject (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work end", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Company (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Knowledge (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if opened date equals maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Location (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Watch list (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery task", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Fault count", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Caused by Change (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Sys ID (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "MAC Address", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Name", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval group", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Priority (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Urgency", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery plan (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Company (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Additional comments (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business service (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Schedule", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Sys ID (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Supported by", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Configuration item (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Task type", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Support group", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Active (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation display (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Justification", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Change Request (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updates", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Incident state (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Made SLA (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened Month Tooltip", + "nullable": false, + "description": "formula: // This is an IF statment using the opened field to allow for different formats\r\n// original used on columns for line charts are formatted in starting letter of month i.e. J for January\r\n// This version formats to full month name for the tooltip \r\n\r\n\r\n// The IF statement names the month based on the month number of the datefield\r\nIF DATEPART('month', [Opened]) = 1 THEN 'January'\r\nELSEIF DATEPART('month', [Opened]) = 2 THEN 'February'\r\nELSEIF DATEPART('month', [Opened]) = 3 THEN 'March'\r\nELSEIF DATEPART('month', [Opened]) = 4 THEN 'April'\r\nELSEIF DATEPART('month', [Opened]) = 5 THEN 'May'\r\nELSEIF DATEPART('month', [Opened]) = 6 THEN 'June'\r\nELSEIF DATEPART('month', [Opened]) = 7 THEN 'July'\r\nELSEIF DATEPART('month', [Opened]) = 8 THEN 'August'\r\nELSEIF DATEPART('month', [Opened]) = 9 THEN 'September'\r\nELSEIF DATEPART('month', [Opened]) = 10 THEN 'October'\r\nELSEIF DATEPART('month', [Opened]) = 11 THEN 'Novemeber'\r\nELSEIF DATEPART('month', [Opened]) = 12 THEN 'December'\r\nELSE NULL\r\nEND", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Problem (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Measure Values", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Group list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Checked in", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Severity (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Number of Records", + "nullable": false, + "description": "formula: 1", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Time worked (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Cost center", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work end (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain Path", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Due date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Contact type", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery plan", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Subcategory (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Description", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Sys ID", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Comments and Work notes (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Can Print", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation ID (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Number (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Follow up (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Task type (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain Path (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Description (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Reassignment count", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Contact type (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assignment group (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Comments", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "State", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work start (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation ID", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "State (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Resolved (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assigned", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Time to Close an Incident", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It transforms time in seconds into DD:HH:MM:SS format\r\nSTR(INT(AVG([Time to Close an Incident (seconds)])/86400)) \r\n \r\n+ \" day(s) \" + \r\n \r\nIF (INT(AVG([Time to Close an Incident (seconds)])%86400/3600)) \r\n< 10 THEN \"0\" ELSE \"\" END + STR(INT(AVG([Time to Close an Incident (seconds)])%86400/3600))\r\n \r\n+ \":\" + \r\n \r\nIF INT(AVG([Time to Close an Incident (seconds)])%3600/60) \r\n< 10 THEN \"0\" ELSE \"\" END + STR(INT(AVG([Time to Close an Incident (seconds)])%3600/60)) \r\n \r\n \r\n+ \":\" + \r\n \r\nIF INT(AVG([Time to Close an Incident (seconds)]) %3600 %60) \r\n< 10 THEN \"0\" ELSE \"\" END + STR(INT(AVG([Time to Close an Incident (seconds)]) %3600 %60))", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Upon approval (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + ] + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)", + "changeType": "UPSERT", + "aspectName": "subTypes", + "aspect": { + "json": { + "typeNames": [ + "Embedded Data Source" + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "dataset", + "entityUrn": 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+}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.problem,PROD)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.sc_cat_item,PROD)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.sc_req_item,PROD)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.sc_request,PROD)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.sys_user_group,PROD)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.task,PROD)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:ATTRIBUTE", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "ATTRIBUTE" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:BINFIELD", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "BINFIELD" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:CALCULATEDFIELD", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "CALCULATEDFIELD" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:COLUMNFIELD", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "COLUMNFIELD" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:COUNT", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "COUNT" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:DATASOURCEFIELD", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "DATASOURCEFIELD" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:DIMENSION", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "DIMENSION" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:GROUPFIELD", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "GROUPFIELD" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:HIERARCHYFIELD", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "HIERARCHYFIELD" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:MEASURE", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "MEASURE" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:SETFIELD", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "SETFIELD" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:SUM", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "SUM" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:TagSheet3", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "TagSheet3" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:YEAR", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "YEAR" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:tag on published datasource", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "tag on published datasource" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_multiple_site_ingestion" + } +} +] \ No newline at end of file diff --git a/metadata-ingestion/tests/integration/tableau/tableau_with_platform_instance_mces_golden.json b/metadata-ingestion/tests/integration/tableau/tableau_with_platform_instance_mces_golden.json index d0ffedb126315c..fdecf887b53056 100644 --- a/metadata-ingestion/tests/integration/tableau/tableau_with_platform_instance_mces_golden.json +++ b/metadata-ingestion/tests/integration/tableau/tableau_with_platform_instance_mces_golden.json @@ -846,7 +846,7 @@ "customProperties": { "luid": "f0779f9d-6765-47a9-a8f6-c740cfd27783" }, - "externalUrl": "https://do-not-connect/t/acryl/authoring/EmailPerformancebyCampaign/EmailPerformancebyCampaign/Timeline - Sent", + "externalUrl": "https://do-not-connect/t/acryl/authoring/EmailPerformancebyCampaign/EmailPerformancebyCampaign/Timeline%20-%20Sent", "title": "Timeline - Sent", "description": "", "lastModified": { @@ -1133,7 +1133,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/EmailPerformancebyCampaign/EmailPerformancebyCampaign/Campaign List", + "externalUrl": "https://do-not-connect/t/acryl/authoring/EmailPerformancebyCampaign/EmailPerformancebyCampaign/Campaign%20List", "title": "Campaign List", "description": "", "lastModified": { @@ -2331,7 +2331,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/EmailPerformancebyCampaign/EmailPerformancebyCampaign/Mobile - Sent by Campaign", + "externalUrl": "https://do-not-connect/t/acryl/authoring/EmailPerformancebyCampaign/EmailPerformancebyCampaign/Mobile%20-%20Sent%20by%20Campaign", "title": "Mobile - Sent by Campaign", "description": "", "lastModified": { @@ -3543,7 +3543,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Opened Requests", + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Opened%20Requests", "title": "Opened Requests", "description": "", "lastModified": { @@ -4056,7 +4056,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Top 10 Items by Requests and YoY Change", + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Top%2010%20Items%20by%20Requests%20and%20YoY%20Change", "title": "Top 10 Items by Requests and YoY Change", "description": "", "lastModified": { @@ -4537,7 +4537,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Opened Problems", + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Opened%20Problems", "title": "Opened Problems", "description": "", "lastModified": { @@ -5444,7 +5444,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/High and Critical Priority Problems", + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/High%20and%20Critical%20Priority%20Problems", "title": "High and Critical Priority Problems", "description": "", "lastModified": { @@ -5818,7 +5818,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Total Incidents by Category and YoY Change", + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Total%20Incidents%20by%20Category%20and%20YoY%20Change", "title": "Total Incidents by Category and YoY Change", "description": "", "lastModified": { @@ -6215,7 +6215,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Known Errors", + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Known%20Errors", "title": "Known Errors", "description": "", "lastModified": { @@ -6667,7 +6667,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Overdue Requests", + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Overdue%20Requests", "title": "Overdue Requests", "description": "", "lastModified": { @@ -7093,7 +7093,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/AVG Time to Solve an Incident", + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/AVG%20Time%20to%20Solve%20an%20Incident", "title": "AVG Time to Solve an Incident", "description": "", "lastModified": { @@ -7435,7 +7435,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Made SLA?", + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Made%20SLA%3F", "title": "Made SLA?", "description": "", "lastModified": { @@ -8073,7 +8073,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Overdue Problems", + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Overdue%20Problems", "title": "Overdue Problems", "description": "", "lastModified": { @@ -9247,7 +9247,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Age of Active Problems", + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Age%20of%20Active%20Problems", "title": "Age of Active Problems", "description": "", "lastModified": { @@ -9647,7 +9647,7 @@ { "com.linkedin.pegasus2avro.chart.ChartInfo": { "customProperties": {}, - "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Opened Incidents", + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Opened%20Incidents", "title": "Opened Incidents", "description": "", "lastModified": { diff --git a/metadata-ingestion/tests/integration/tableau/test_tableau_ingest.py b/metadata-ingestion/tests/integration/tableau/test_tableau_ingest.py index a8c961ad6c952b..b64609b6ea605f 100644 --- a/metadata-ingestion/tests/integration/tableau/test_tableau_ingest.py +++ b/metadata-ingestion/tests/integration/tableau/test_tableau_ingest.py @@ -8,9 +8,11 @@ import pytest from freezegun import freeze_time from requests.adapters import ConnectionError +from tableauserverclient import Server from tableauserverclient.models import ( DatasourceItem, ProjectItem, + SiteItem, ViewItem, WorkbookItem, ) @@ -18,7 +20,12 @@ from datahub.configuration.source_common import DEFAULT_ENV from datahub.emitter.mce_builder import make_schema_field_urn from datahub.ingestion.run.pipeline import Pipeline, PipelineContext -from datahub.ingestion.source.tableau import TableauConfig, TableauSource +from datahub.ingestion.source.tableau import ( + TableauConfig, + TableauSiteSource, + TableauSource, + TableauSourceReport, +) from datahub.ingestion.source.tableau_common import ( TableauLineageOverrides, TableauUpstreamReference, @@ -124,6 +131,25 @@ def side_effect_project_data(*arg, **kwargs): return [project1, project2, project3, project4], mock_pagination +def side_effect_site_data(*arg, **kwargs): + mock_pagination = mock.MagicMock() + mock_pagination.total_available = None + + site1: SiteItem = SiteItem(name="Acryl", content_url="acryl") + site1._id = "190a6a5c-63ed-4de1-8045-site1" + site1.state = "Active" + + site2: SiteItem = SiteItem(name="Site 2", content_url="site2") + site2._id = "190a6a5c-63ed-4de1-8045-site2" + site2.state = "Active" + + site3: SiteItem = SiteItem(name="Site 3", content_url="site3") + site3._id = "190a6a5c-63ed-4de1-8045-site3" + site3.state = "Suspended" + + return [site1, site2, site3], mock_pagination + + def side_effect_datasource_data(*arg, **kwargs): mock_pagination = mock.MagicMock() mock_pagination.total_available = None @@ -199,6 +225,13 @@ def side_effect_datasource_get_by_id(id, *arg, **kwargs): return ds +def side_effect_site_get_by_id(id, *arg, **kwargs): + sites, _ = side_effect_site_data() + for site in sites: + if site._id == id: + return site + + def tableau_ingest_common( pytestconfig, tmp_path, @@ -223,9 +256,14 @@ def tableau_ingest_common( mocked_metadata.query.side_effect = side_effect_query_metadata_response mock_client.metadata = mocked_metadata mock_client.auth = mock.Mock() + mock_client.site_id = "190a6a5c-63ed-4de1-8045-site1" mock_client.views = mock.Mock() mock_client.projects = mock.Mock() + mock_client.sites = mock.Mock() + mock_client.projects.get.side_effect = side_effect_project_data + mock_client.sites.get.side_effect = side_effect_site_data + mock_client.sites.get_by_id.side_effect = side_effect_site_get_by_id mock_client.datasources = mock.Mock() mock_client.datasources.get.side_effect = datasources_side_effect mock_client.datasources.get_by_id.side_effect = ( @@ -893,9 +931,16 @@ def test_lineage_metadata( "user_source": "user_source", } - source = TableauSource(config=config, ctx=context) + site_source = TableauSiteSource( + config=config, + ctx=context, + platform="tableau", + site=SiteItem(name="Site 1", content_url="site1"), + report=TableauSourceReport(), + server=Server("https://test-tableau-server.com"), + ) - lineage = source._create_lineage_from_unsupported_csql( + lineage = site_source._create_lineage_from_unsupported_csql( csql_urn=csql_urn, csql={ "query": "SELECT user_id, source, user_source FROM (SELECT *, ROW_NUMBER() OVER (partition BY user_id ORDER BY __partition_day DESC) AS rank_ FROM invent_dw.UserDetail ) source_user WHERE rank_ = 1", @@ -916,7 +961,7 @@ def test_lineage_metadata( ) # With database as None - lineage = source._create_lineage_from_unsupported_csql( + lineage = site_source._create_lineage_from_unsupported_csql( csql_urn=csql_urn, csql={ "query": "SELECT user_id, source, user_source FROM (SELECT *, ROW_NUMBER() OVER (partition BY user_id ORDER BY __partition_day DESC) AS rank_ FROM my_bigquery_project.invent_dw.UserDetail ) source_user WHERE rank_ = 1", @@ -957,3 +1002,107 @@ def test_get_all_datasources_failure(pytestconfig, tmp_path, mock_datahub_graph) pipeline_name="test_tableau_ingest", datasources_side_effect=ValueError("project_id must be defined."), ) + + +@freeze_time(FROZEN_TIME) +@pytest.mark.integration +def test_tableau_ingest_multiple_sites(pytestconfig, tmp_path, mock_datahub_graph): + enable_logging() + output_file_name: str = "tableau_mces_multiple_sites.json" + golden_file_name: str = "tableau_multiple_sites_mces_golden.json" + + new_pipeline_config: Dict[Any, Any] = { + **config_source_default, + "add_site_container": True, + "ingest_multiple_sites": True, + } + + tableau_ingest_common( + pytestconfig=pytestconfig, + tmp_path=tmp_path, + side_effect_query_metadata_response=[ + read_response(pytestconfig, "workbooksConnection_all.json"), + read_response(pytestconfig, "sheetsConnection_all.json"), + read_response(pytestconfig, "dashboardsConnection_all.json"), + read_response(pytestconfig, "embeddedDatasourcesConnection_all.json"), + read_response(pytestconfig, "publishedDatasourcesConnection_all.json"), + read_response(pytestconfig, "customSQLTablesConnection_all.json"), + read_response(pytestconfig, "databaseTablesConnection_all.json"), + read_response(pytestconfig, "workbooksConnection_all.json"), + read_response(pytestconfig, "sheetsConnection_all.json"), + read_response(pytestconfig, "dashboardsConnection_all.json"), + read_response(pytestconfig, "embeddedDatasourcesConnection_all.json"), + read_response(pytestconfig, "publishedDatasourcesConnection_all.json"), + read_response(pytestconfig, "customSQLTablesConnection_all.json"), + read_response(pytestconfig, "databaseTablesConnection_all.json"), + ], + golden_file_name=golden_file_name, + output_file_name=output_file_name, + mock_datahub_graph=mock_datahub_graph, + pipeline_name="test_tableau_multiple_site_ingestion", + pipeline_config=new_pipeline_config, + ) + + +@freeze_time(FROZEN_TIME) +@pytest.mark.integration +def test_tableau_ingest_sites_as_container(pytestconfig, tmp_path, mock_datahub_graph): + enable_logging() + output_file_name: str = "tableau_mces_ingest_sites_as_container.json" + golden_file_name: str = "tableau_sites_as_container_mces_golden.json" + + new_pipeline_config: Dict[Any, Any] = { + **config_source_default, + "add_site_container": True, + } + + tableau_ingest_common( + pytestconfig=pytestconfig, + tmp_path=tmp_path, + side_effect_query_metadata_response=[ + read_response(pytestconfig, "workbooksConnection_all.json"), + read_response(pytestconfig, "sheetsConnection_all.json"), + read_response(pytestconfig, "dashboardsConnection_all.json"), + read_response(pytestconfig, "embeddedDatasourcesConnection_all.json"), + read_response(pytestconfig, "publishedDatasourcesConnection_all.json"), + read_response(pytestconfig, "customSQLTablesConnection_all.json"), + read_response(pytestconfig, "databaseTablesConnection_all.json"), + ], + golden_file_name=golden_file_name, + output_file_name=output_file_name, + mock_datahub_graph=mock_datahub_graph, + pipeline_name="test_tableau_multiple_site_ingestion", + pipeline_config=new_pipeline_config, + ) + + +@freeze_time(FROZEN_TIME) +@pytest.mark.integration +def test_site_name_pattern(pytestconfig, tmp_path, mock_datahub_graph): + enable_logging() + output_file_name: str = "tableau_site_name_pattern_mces.json" + golden_file_name: str = "tableau_site_name_pattern_mces_golden.json" + + new_config = config_source_default.copy() + new_config["ingest_multiple_sites"] = True + new_config["add_site_container"] = True + new_config["site_name_pattern"] = {"allow": ["^Site.*$"]} + + tableau_ingest_common( + pytestconfig, + tmp_path, + [ + read_response(pytestconfig, "workbooksConnection_all.json"), + read_response(pytestconfig, "sheetsConnection_all.json"), + read_response(pytestconfig, "dashboardsConnection_all.json"), + read_response(pytestconfig, "embeddedDatasourcesConnection_all.json"), + read_response(pytestconfig, "publishedDatasourcesConnection_all.json"), + read_response(pytestconfig, "customSQLTablesConnection_all.json"), + read_response(pytestconfig, "databaseTablesConnection_all.json"), + ], + golden_file_name, + output_file_name, + mock_datahub_graph, + pipeline_config=new_config, + pipeline_name="test_tableau_site_name_pattern_ingest", + ) diff --git a/metadata-ingestion/tests/test_helpers/graph_helpers.py b/metadata-ingestion/tests/test_helpers/graph_helpers.py index 0c642ad25a380c..127285a48d930b 100644 --- a/metadata-ingestion/tests/test_helpers/graph_helpers.py +++ b/metadata-ingestion/tests/test_helpers/graph_helpers.py @@ -111,6 +111,7 @@ def emit( UsageAggregationClass, ], callback: Union[Callable[[Exception, str], None], None] = None, + async_flag: Optional[bool] = None, ) -> None: self.emitted.append(item) # type: ignore @@ -118,7 +119,9 @@ def emit_mce(self, mce: MetadataChangeEvent) -> None: self.emitted.append(mce) def emit_mcp( - self, mcp: Union[MetadataChangeProposal, MetadataChangeProposalWrapper] + self, + mcp: Union[MetadataChangeProposal, MetadataChangeProposalWrapper], + async_flag: Optional[bool] = None, ) -> None: self.emitted.append(mcp) diff --git a/metadata-ingestion/tests/unit/api/test_report.py b/metadata-ingestion/tests/unit/api/test_report.py index a885a93a0a396a..acb4f055aa8280 100644 --- a/metadata-ingestion/tests/unit/api/test_report.py +++ b/metadata-ingestion/tests/unit/api/test_report.py @@ -8,8 +8,8 @@ def test_report_to_string_unsampled(): source_report.report_warning("key1", "problem 1") source_report.report_failure("key2", "reason 2") str = source_report.as_string() - assert "'warnings': {'key1': ['problem 1']}" in str - assert "'failures': {'key2': ['reason 2']}" in str + assert "'warnings': [{'message': 'key1', 'context': ['problem 1']}]" in str + assert "'failures': [{'message': 'key2', 'context': ['reason 2']}]" in str def test_report_to_string_sampled(): @@ -18,7 +18,7 @@ def test_report_to_string_sampled(): source_report.report_warning(f"key{i}", "Test message") str = source_report.as_string() - assert "'sampled': '10 sampled of at most 100 entries.'" in str + assert "sampled of 100 total elements" in str str = source_report.as_json() print(str) report_as_dict = json.loads(str) diff --git a/metadata-ingestion/tests/unit/glue/glue_delta_mces_golden.json b/metadata-ingestion/tests/unit/glue/glue_delta_mces_golden.json index 992ec338dea300..01ecdbb4fd331e 100644 --- a/metadata-ingestion/tests/unit/glue/glue_delta_mces_golden.json +++ b/metadata-ingestion/tests/unit/glue/glue_delta_mces_golden.json @@ -11,7 +11,7 @@ "instance": "delta_platform_instance", "env": "PROD", "database": "delta-database", - "CreateTime": "June 9, 2021 at 14:14:19" + "CreateTime": "June 09, 2021 at 14:14:19" }, "name": "delta-database", "qualifiedName": "arn:aws:glue:us-west-2:123412341234:database/delta-database" diff --git a/metadata-ingestion/tests/unit/glue/glue_malformed_delta_mces_golden.json b/metadata-ingestion/tests/unit/glue/glue_malformed_delta_mces_golden.json index b8e3445eea5094..e71ede4f370ffb 100644 --- a/metadata-ingestion/tests/unit/glue/glue_malformed_delta_mces_golden.json +++ b/metadata-ingestion/tests/unit/glue/glue_malformed_delta_mces_golden.json @@ -11,7 +11,7 @@ "instance": "delta_platform_instance", "env": "PROD", "database": "delta-database", - "CreateTime": "June 9, 2021 at 14:14:19" + "CreateTime": "June 09, 2021 at 14:14:19" }, "name": "delta-database", "qualifiedName": "arn:aws:glue:us-west-2:123412341234:database/delta-database" diff --git a/metadata-ingestion/tests/unit/glue/glue_mces_golden.json b/metadata-ingestion/tests/unit/glue/glue_mces_golden.json index f180185f67ead8..c688eb9a2d1150 100644 --- a/metadata-ingestion/tests/unit/glue/glue_mces_golden.json +++ b/metadata-ingestion/tests/unit/glue/glue_mces_golden.json @@ -13,7 +13,7 @@ "param1": "value1", "param2": "value2", "LocationUri": "s3://test-bucket/test-prefix", - "CreateTime": "June 9, 2021 at 14:14:19" + "CreateTime": "June 09, 2021 at 14:14:19" }, "name": "flights-database", "qualifiedName": "arn:aws:glue:us-west-2:123412341234:database/flights-database" @@ -55,6 +55,112 @@ } } }, +{ + "entityType": "container", + "entityUrn": "urn:li:container:bdf4342ea6899d162eae685bfe9074a7", + "changeType": "UPSERT", + "aspectName": "containerProperties", + "aspect": { + "json": { + "customProperties": { + "platform": "glue", + "env": "PROD", + "database": "test-database", + "CreateTime": "June 01, 2021 at 14:55:02" + }, + "name": "test-database", + "qualifiedName": "arn:aws:glue:us-west-2:123412341234:database/test-database" + } + } +}, +{ + "entityType": "container", + "entityUrn": "urn:li:container:bdf4342ea6899d162eae685bfe9074a7", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + } +}, +{ + "entityType": "container", + "entityUrn": "urn:li:container:bdf4342ea6899d162eae685bfe9074a7", + "changeType": "UPSERT", + "aspectName": "dataPlatformInstance", + "aspect": { + "json": { + "platform": "urn:li:dataPlatform:glue" + } + } +}, +{ + "entityType": "container", + "entityUrn": "urn:li:container:bdf4342ea6899d162eae685bfe9074a7", + "changeType": "UPSERT", + "aspectName": "subTypes", + "aspect": { + "json": { + "typeNames": [ + "Database" + ] + } + } +}, +{ + "entityType": "container", + "entityUrn": "urn:li:container:110bc08849d1c1bde5fc345dab5c3ae7", + "changeType": "UPSERT", + "aspectName": "containerProperties", + "aspect": { + "json": { + "customProperties": { + "platform": "glue", + "env": "PROD", + "database": "empty-database", + "CreateTime": "June 01, 2021 at 14:55:13" + }, + "name": "empty-database", + "qualifiedName": "arn:aws:glue:us-west-2:123412341234:database/empty-database" + } + } +}, +{ + "entityType": "container", + "entityUrn": "urn:li:container:110bc08849d1c1bde5fc345dab5c3ae7", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + } +}, +{ + "entityType": "container", + "entityUrn": "urn:li:container:110bc08849d1c1bde5fc345dab5c3ae7", + "changeType": "UPSERT", + "aspectName": "dataPlatformInstance", + "aspect": { + "json": { + "platform": "urn:li:dataPlatform:glue" + } + } +}, +{ + "entityType": "container", + "entityUrn": "urn:li:container:110bc08849d1c1bde5fc345dab5c3ae7", + "changeType": "UPSERT", + "aspectName": "subTypes", + "aspect": { + "json": { + "typeNames": [ + "Database" + ] + } + } +}, { "proposedSnapshot": { "com.linkedin.pegasus2avro.metadata.snapshot.DatasetSnapshot": { @@ -236,6 +342,7 @@ "type": "DATAOWNER" } ], + "ownerTypes": {}, "lastModified": { "time": 0, "actor": "urn:li:corpuser:unknown" @@ -282,59 +389,6 @@ } } }, -{ - "entityType": "container", - "entityUrn": "urn:li:container:bdf4342ea6899d162eae685bfe9074a7", - "changeType": "UPSERT", - "aspectName": "containerProperties", - "aspect": { - "json": { - "customProperties": { - "platform": "glue", - "env": "PROD", - "database": "test-database", - "CreateTime": "June 1, 2021 at 14:55:02" - }, - "name": "test-database", - "qualifiedName": "arn:aws:glue:us-west-2:123412341234:database/test-database" - } - } -}, -{ - "entityType": "container", - "entityUrn": "urn:li:container:bdf4342ea6899d162eae685bfe9074a7", - "changeType": "UPSERT", - "aspectName": "status", - "aspect": { - "json": { - "removed": false - } - } -}, -{ - "entityType": "container", - "entityUrn": "urn:li:container:bdf4342ea6899d162eae685bfe9074a7", - "changeType": "UPSERT", - "aspectName": "dataPlatformInstance", - "aspect": { - "json": { - "platform": "urn:li:dataPlatform:glue" - } - } -}, -{ - "entityType": "container", - "entityUrn": "urn:li:container:bdf4342ea6899d162eae685bfe9074a7", - "changeType": "UPSERT", - "aspectName": "subTypes", - "aspect": { - "json": { - "typeNames": [ - "Database" - ] - } - } -}, { "proposedSnapshot": { "com.linkedin.pegasus2avro.metadata.snapshot.DatasetSnapshot": { @@ -473,6 +527,7 @@ "type": "DATAOWNER" } ], + "ownerTypes": {}, "lastModified": { "time": 0, "actor": "urn:li:corpuser:unknown" @@ -658,6 +713,7 @@ "type": "DATAOWNER" } ], + "ownerTypes": {}, "lastModified": { "time": 0, "actor": "urn:li:corpuser:unknown" diff --git a/metadata-ingestion/tests/unit/glue/glue_mces_platform_instance_golden.json b/metadata-ingestion/tests/unit/glue/glue_mces_platform_instance_golden.json index 4b64ee1bf08d41..de82d26c571622 100644 --- a/metadata-ingestion/tests/unit/glue/glue_mces_platform_instance_golden.json +++ b/metadata-ingestion/tests/unit/glue/glue_mces_platform_instance_golden.json @@ -14,7 +14,7 @@ "param1": "value1", "param2": "value2", "LocationUri": "s3://test-bucket/test-prefix", - "CreateTime": "June 9, 2021 at 14:14:19" + "CreateTime": "June 09, 2021 at 14:14:19" }, "name": "flights-database", "qualifiedName": "arn:aws:glue:us-west-2:123412341234:database/flights-database" @@ -57,6 +57,116 @@ } } }, +{ + "entityType": "container", + "entityUrn": "urn:li:container:9fb26491b2c92dde9e80791dbecca9ca", + "changeType": "UPSERT", + "aspectName": "containerProperties", + "aspect": { + "json": { + "customProperties": { + "platform": "glue", + "instance": "some_instance_name", + "env": "PROD", + "database": "test-database", + "CreateTime": "June 01, 2021 at 14:55:02" + }, + "name": "test-database", + "qualifiedName": "arn:aws:glue:us-west-2:123412341234:database/test-database" + } + } +}, +{ + "entityType": "container", + "entityUrn": "urn:li:container:9fb26491b2c92dde9e80791dbecca9ca", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + } +}, +{ + "entityType": "container", + "entityUrn": "urn:li:container:9fb26491b2c92dde9e80791dbecca9ca", + "changeType": "UPSERT", + "aspectName": "dataPlatformInstance", + "aspect": { + "json": { + "platform": "urn:li:dataPlatform:glue", + "instance": "urn:li:dataPlatformInstance:(urn:li:dataPlatform:glue,some_instance_name)" + } + } +}, +{ + "entityType": "container", + "entityUrn": "urn:li:container:9fb26491b2c92dde9e80791dbecca9ca", + "changeType": "UPSERT", + "aspectName": "subTypes", + "aspect": { + "json": { + "typeNames": [ + "Database" + ] + } + } +}, +{ + "entityType": "container", + "entityUrn": "urn:li:container:ac4381240e82d55400c22e4392e744a4", + "changeType": "UPSERT", + "aspectName": "containerProperties", + "aspect": { + "json": { + "customProperties": { + "platform": "glue", + "instance": "some_instance_name", + "env": "PROD", + "database": "empty-database", + "CreateTime": "June 01, 2021 at 14:55:13" + }, + "name": "empty-database", + "qualifiedName": "arn:aws:glue:us-west-2:123412341234:database/empty-database" + } + } +}, +{ + "entityType": "container", + "entityUrn": "urn:li:container:ac4381240e82d55400c22e4392e744a4", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + } +}, +{ + "entityType": "container", + "entityUrn": "urn:li:container:ac4381240e82d55400c22e4392e744a4", + "changeType": "UPSERT", + "aspectName": "dataPlatformInstance", + "aspect": { + "json": { + "platform": "urn:li:dataPlatform:glue", + "instance": "urn:li:dataPlatformInstance:(urn:li:dataPlatform:glue,some_instance_name)" + } + } +}, +{ + "entityType": "container", + "entityUrn": "urn:li:container:ac4381240e82d55400c22e4392e744a4", + "changeType": "UPSERT", + "aspectName": "subTypes", + "aspect": { + "json": { + "typeNames": [ + "Database" + ] + } + } +}, { "proposedSnapshot": { "com.linkedin.pegasus2avro.metadata.snapshot.DatasetSnapshot": { @@ -286,61 +396,6 @@ } } }, -{ - "entityType": "container", - "entityUrn": "urn:li:container:9fb26491b2c92dde9e80791dbecca9ca", - "changeType": "UPSERT", - "aspectName": "containerProperties", - "aspect": { - "json": { - "customProperties": { - "platform": "glue", - "instance": "some_instance_name", - "env": "PROD", - "database": "test-database", - "CreateTime": "June 1, 2021 at 14:55:02" - }, - "name": "test-database", - "qualifiedName": "arn:aws:glue:us-west-2:123412341234:database/test-database" - } - } -}, -{ - "entityType": "container", - "entityUrn": "urn:li:container:9fb26491b2c92dde9e80791dbecca9ca", - "changeType": "UPSERT", - "aspectName": "status", - "aspect": { - "json": { - "removed": false - } - } -}, -{ - "entityType": "container", - "entityUrn": "urn:li:container:9fb26491b2c92dde9e80791dbecca9ca", - "changeType": "UPSERT", - "aspectName": "dataPlatformInstance", - "aspect": { - "json": { - "platform": "urn:li:dataPlatform:glue", - "instance": "urn:li:dataPlatformInstance:(urn:li:dataPlatform:glue,some_instance_name)" - } - } -}, -{ - "entityType": "container", - "entityUrn": "urn:li:container:9fb26491b2c92dde9e80791dbecca9ca", - "changeType": "UPSERT", - "aspectName": "subTypes", - "aspect": { - "json": { - "typeNames": [ - "Database" - ] - } - } -}, { "proposedSnapshot": { "com.linkedin.pegasus2avro.metadata.snapshot.DatasetSnapshot": { diff --git a/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_add_known_query_lineage.json b/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_add_known_query_lineage.json index 3893b649bd5c8a..94c8947dba9ff1 100644 --- a/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_add_known_query_lineage.json +++ b/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_add_known_query_lineage.json @@ -113,11 +113,20 @@ "aspect": { "json": { "subjects": [ + { + "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.bar,PROD)" + }, { "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo,PROD)" }, { - "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.bar,PROD)" + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo,PROD),a)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo,PROD),b)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo,PROD),c)" } ] } diff --git a/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_basic_lineage.json b/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_basic_lineage.json index 2eb3753473d7d9..839a224a41b63c 100644 --- a/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_basic_lineage.json +++ b/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_basic_lineage.json @@ -81,11 +81,23 @@ "aspect": { "json": { "subjects": [ + { + "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.bar,PROD)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.bar,PROD),a)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.bar,PROD),b)" + }, { "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo,PROD)" }, { - "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.bar,PROD)" + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo,PROD),a)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo,PROD),b)" } ] } diff --git a/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_column_lineage_deduplication.json b/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_column_lineage_deduplication.json index dd110a5d928df0..d3ec3843168188 100644 --- a/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_column_lineage_deduplication.json +++ b/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_column_lineage_deduplication.json @@ -93,11 +93,23 @@ "aspect": { "json": { "subjects": [ + { + "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.bar,PROD)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.bar,PROD),a)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.bar,PROD),b)" + }, { "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo,PROD)" }, { - "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.bar,PROD)" + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo,PROD),a)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo,PROD),b)" } ] } @@ -145,11 +157,29 @@ "aspect": { "json": { "subjects": [ + { + "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.bar,PROD)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.bar,PROD),a)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.bar,PROD),c)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.bar,PROD),b)" + }, { "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo,PROD)" }, { - "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.bar,PROD)" + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo,PROD),a)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo,PROD),b)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo,PROD),c)" } ] } diff --git a/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_multistep_temp_table.json b/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_multistep_temp_table.json index 5f3e81b7b9eb9b..a9b5a3a7cbefac 100644 --- a/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_multistep_temp_table.json +++ b/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_multistep_temp_table.json @@ -106,14 +106,23 @@ "aspect": { "json": { "subjects": [ + { + "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.upstream1,PROD)" + }, + { + "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.upstream2,PROD)" + }, { "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.prod_foo,PROD)" }, { - "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.upstream1,PROD)" + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.prod_foo,PROD),a)" }, { - "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.upstream2,PROD)" + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.prod_foo,PROD),b)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.prod_foo,PROD),c)" } ] } diff --git a/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_overlapping_inserts.json b/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_overlapping_inserts.json index 49458e06b0bb91..fcbe0ec5aeb839 100644 --- a/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_overlapping_inserts.json +++ b/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_overlapping_inserts.json @@ -118,11 +118,23 @@ "aspect": { "json": { "subjects": [ + { + "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.upstream2,PROD)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.upstream2,PROD),a)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.upstream2,PROD),c)" + }, { "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.downstream,PROD)" }, { - "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.upstream2,PROD)" + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.downstream,PROD),a)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.downstream,PROD),c)" } ] } @@ -170,11 +182,23 @@ "aspect": { "json": { "subjects": [ + { + "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.upstream1,PROD)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.upstream1,PROD),a)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.upstream1,PROD),b)" + }, { "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.downstream,PROD)" }, { - "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.upstream1,PROD)" + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.downstream,PROD),a)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.downstream,PROD),b)" } ] } diff --git a/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_overlapping_inserts_from_temp_tables.json b/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_overlapping_inserts_from_temp_tables.json index 9567aef095f9ac..48aecb90151804 100644 --- a/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_overlapping_inserts_from_temp_tables.json +++ b/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_overlapping_inserts_from_temp_tables.json @@ -168,9 +168,6 @@ "aspect": { "json": { "subjects": [ - { - "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.all_returns,PROD)" - }, { "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.customer,PROD)" }, @@ -179,6 +176,21 @@ }, { "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.online_survey,PROD)" + }, + { + "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.all_returns,PROD)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.all_returns,PROD),customer_id)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.all_returns,PROD),customer_email)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.all_returns,PROD),return_date)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.all_returns,PROD),return_reason)" } ] } @@ -226,14 +238,23 @@ "aspect": { "json": { "subjects": [ + { + "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.customer,PROD)" + }, + { + "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.in_person_returns,PROD)" + }, { "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.all_returns,PROD)" }, { - "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.customer,PROD)" + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.all_returns,PROD),customer_id)" }, { - "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.in_person_returns,PROD)" + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.all_returns,PROD),customer_email)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.all_returns,PROD),return_date)" } ] } diff --git a/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_table_rename.json b/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_table_rename.json index fc5e5ef879fe14..9a4d405e50a7a4 100644 --- a/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_table_rename.json +++ b/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_table_rename.json @@ -81,11 +81,23 @@ "aspect": { "json": { "subjects": [ + { + "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.baz,PROD)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.baz,PROD),a)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.baz,PROD),b)" + }, { "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.bar,PROD)" }, { - "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.baz,PROD)" + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.bar,PROD),a)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.bar,PROD),b)" } ] } @@ -184,11 +196,23 @@ "aspect": { "json": { "subjects": [ + { + "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo_dep,PROD)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo_dep,PROD),a)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo_dep,PROD),b)" + }, { "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo,PROD)" }, { - "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo_dep,PROD)" + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo,PROD),a)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo,PROD),b)" } ] } diff --git a/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_temp_table.json b/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_temp_table.json index 377e3e02c970ea..743e2738fc70c6 100644 --- a/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_temp_table.json +++ b/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_temp_table.json @@ -81,11 +81,23 @@ "aspect": { "json": { "subjects": [ + { + "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.bar,PROD)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.bar,PROD),a)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.bar,PROD),b)" + }, { "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo,PROD)" }, { - "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.bar,PROD)" + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo,PROD),a)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo,PROD),b)" } ] } @@ -185,11 +197,17 @@ "aspect": { "json": { "subjects": [ + { + "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.bar,PROD)" + }, { "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo_session2,PROD)" }, { - "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.bar,PROD)" + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo_session2,PROD),a)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo_session2,PROD),c)" } ] } diff --git a/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_view_lineage.json b/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_view_lineage.json index bf2296c99356e8..973813dae6073c 100644 --- a/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_view_lineage.json +++ b/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_view_lineage.json @@ -81,11 +81,23 @@ "aspect": { "json": { "subjects": [ + { + "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.bar,PROD)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.bar,PROD),a)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.bar,PROD),b)" + }, { "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo,PROD)" }, { - "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.bar,PROD)" + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo,PROD),a)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo,PROD),b)" } ] } diff --git a/metadata-ingestion/tests/unit/stateful_ingestion/state/test_redundant_run_skip_handler.py b/metadata-ingestion/tests/unit/stateful_ingestion/state/test_redundant_run_skip_handler.py index 0400bd6a72aa5f..be6efd3e121ff1 100644 --- a/metadata-ingestion/tests/unit/stateful_ingestion/state/test_redundant_run_skip_handler.py +++ b/metadata-ingestion/tests/unit/stateful_ingestion/state/test_redundant_run_skip_handler.py @@ -1,4 +1,5 @@ from datetime import datetime, timezone +from typing import Iterable from unittest import mock import pytest @@ -24,7 +25,7 @@ @pytest.fixture -def stateful_source(mock_datahub_graph: DataHubGraph) -> SnowflakeV2Source: +def stateful_source(mock_datahub_graph: DataHubGraph) -> Iterable[SnowflakeV2Source]: pipeline_name = "test_redundant_run_lineage" run_id = "test_redundant_run" ctx = PipelineContext( @@ -43,8 +44,9 @@ def stateful_source(mock_datahub_graph: DataHubGraph) -> SnowflakeV2Source: ), ), ) - source = SnowflakeV2Source(ctx=ctx, config=config) - return source + + with mock.patch("snowflake.connector.connect"): + yield SnowflakeV2Source(ctx=ctx, config=config) def test_redundant_run_job_ids(stateful_source: SnowflakeV2Source) -> None: diff --git a/metadata-ingestion/tests/unit/test_dbt_source.py b/metadata-ingestion/tests/unit/test_dbt_source.py index 0206f2e280ef2d..99387ab4e6ae48 100644 --- a/metadata-ingestion/tests/unit/test_dbt_source.py +++ b/metadata-ingestion/tests/unit/test_dbt_source.py @@ -148,7 +148,7 @@ def test_dbt_source_patching_tags(): ["new_non_dbt", "dbt:new_dbt"] ) transformed_tags = source.get_transformed_tags_by_prefix( - new_tag_aspect.tags, "urn:li:dataset:dummy", "urn:li:tag:dbt:" + new_tag_aspect.tags, "urn:li:dataset:dummy", "dbt:" ) expected_tags = { "urn:li:tag:new_non_dbt", diff --git a/metadata-ingestion/tests/unit/test_glue_source.py b/metadata-ingestion/tests/unit/test_glue_source.py index 5e721fc5c12930..c8b7e021cf5a00 100644 --- a/metadata-ingestion/tests/unit/test_glue_source.py +++ b/metadata-ingestion/tests/unit/test_glue_source.py @@ -135,6 +135,11 @@ def test_glue_ingest( get_tables_response_2, {"DatabaseName": "test-database"}, ) + glue_stubber.add_response( + "get_tables", + {"TableList": []}, + {"DatabaseName": "empty-database"}, + ) glue_stubber.add_response("get_jobs", get_jobs_response, {}) glue_stubber.add_response( "get_dataflow_graph", diff --git a/metadata-ingestion/tests/unit/test_glue_source_stubs.py b/metadata-ingestion/tests/unit/test_glue_source_stubs.py index 80d16b93907f5b..fc4c9e91410e0c 100644 --- a/metadata-ingestion/tests/unit/test_glue_source_stubs.py +++ b/metadata-ingestion/tests/unit/test_glue_source_stubs.py @@ -77,6 +77,19 @@ ], "CatalogId": "123412341234", }, + { + "Name": "empty-database", + "CreateTime": datetime.datetime(2021, 6, 1, 14, 55, 13), + "CreateTableDefaultPermissions": [ + { + "Principal": { + "DataLakePrincipalIdentifier": "IAM_ALLOWED_PRINCIPALS" + }, + "Permissions": ["ALL"], + } + ], + "CatalogId": "123412341234", + }, ] } databases_1 = { diff --git a/metadata-ingestion/tests/unit/test_nifi_source.py b/metadata-ingestion/tests/unit/test_nifi_source.py index 26c803927f9e67..9e8bf64261ffaf 100644 --- a/metadata-ingestion/tests/unit/test_nifi_source.py +++ b/metadata-ingestion/tests/unit/test_nifi_source.py @@ -333,9 +333,10 @@ def test_single_user_auth_failed_to_get_token(): list(source.get_workunits()) assert source.get_report().failures - assert "Failed to authenticate" in list( - source.get_report().failures[config.site_url] - ) + + assert "Failed to authenticate" in [ + failure.message for failure in source.get_report().failures + ] def test_kerberos_auth_failed_to_get_token(): @@ -352,9 +353,9 @@ def test_kerberos_auth_failed_to_get_token(): list(source.get_workunits()) assert source.get_report().failures - assert "Failed to authenticate" in list( - source.get_report().failures[config.site_url] - ) + assert "Failed to authenticate" in [ + failure.message for failure in source.get_report().failures + ] def test_client_cert_auth_failed(): @@ -372,9 +373,9 @@ def test_client_cert_auth_failed(): list(source.get_workunits()) assert source.get_report().failures - assert "Failed to authenticate" in list( - source.get_report().failures[config.site_url] - ) + assert "Failed to authenticate" in [ + failure.message for failure in source.get_report().failures + ] def test_failure_to_create_nifi_flow(): @@ -392,9 +393,9 @@ def test_failure_to_create_nifi_flow(): list(source.get_workunits()) assert source.get_report().failures - assert "Failed to get root process group flow" in list( - source.get_report().failures[config.site_url] - ) + assert "Failed to get root process group flow" in [ + failure.message for failure in source.get_report().failures + ] def test_site_url_no_context(): diff --git a/metadata-ingestion/tests/unit/test_pipeline.py b/metadata-ingestion/tests/unit/test_pipeline.py index 851350933f59e5..01403163bbfbdf 100644 --- a/metadata-ingestion/tests/unit/test_pipeline.py +++ b/metadata-ingestion/tests/unit/test_pipeline.py @@ -31,15 +31,16 @@ class TestPipeline: + @patch("confluent_kafka.Consumer", autospec=True) @patch("datahub.ingestion.source.kafka.KafkaSource.get_workunits", autospec=True) @patch("datahub.ingestion.sink.console.ConsoleSink.close", autospec=True) @freeze_time(FROZEN_TIME) - def test_configure(self, mock_sink, mock_source): + def test_configure(self, mock_sink, mock_source, mock_consumer): pipeline = Pipeline.create( { "source": { "type": "kafka", - "config": {"connection": {"bootstrap": "localhost:9092"}}, + "config": {"connection": {"bootstrap": "fake-dns-name:9092"}}, }, "sink": {"type": "console"}, } diff --git a/metadata-ingestion/tests/unit/test_plugin_system.py b/metadata-ingestion/tests/unit/test_plugin_system.py index 4d1ebce2be849f..0e12416325bf9a 100644 --- a/metadata-ingestion/tests/unit/test_plugin_system.py +++ b/metadata-ingestion/tests/unit/test_plugin_system.py @@ -7,6 +7,7 @@ from datahub.ingestion.api.registry import PluginRegistry from datahub.ingestion.api.sink import Sink from datahub.ingestion.extractor.extractor_registry import extractor_registry +from datahub.ingestion.fs.fs_registry import fs_registry from datahub.ingestion.reporting.reporting_provider_registry import ( reporting_provider_registry, ) @@ -54,6 +55,7 @@ (reporting_provider_registry, ["datahub", "file"]), (ingestion_checkpoint_provider_registry, ["datahub"]), (lite_registry, ["duckdb"]), + (fs_registry, ["file", "http", "s3"]), ], ) def test_registry_defaults(registry: PluginRegistry, expected: List[str]) -> None: diff --git a/metadata-ingestion/tests/unit/test_redash_source.py b/metadata-ingestion/tests/unit/test_redash_source.py index 925c41689c6cc1..2982fe76c4d4e7 100644 --- a/metadata-ingestion/tests/unit/test_redash_source.py +++ b/metadata-ingestion/tests/unit/test_redash_source.py @@ -489,9 +489,7 @@ def test_get_dashboard_snapshot_before_v10(): ], datasets=[], lastModified=ChangeAuditStamps( - created=AuditStamp( - time=1628882055288, actor="urn:li:corpuser:unknown" - ), + created=None, lastModified=AuditStamp( time=1628882055288, actor="urn:li:corpuser:unknown" ), @@ -521,9 +519,7 @@ def test_get_dashboard_snapshot_after_v10(): ], datasets=[], lastModified=ChangeAuditStamps( - created=AuditStamp( - time=1628882055288, actor="urn:li:corpuser:unknown" - ), + created=None, lastModified=AuditStamp( time=1628882055288, actor="urn:li:corpuser:unknown" ), @@ -551,9 +547,7 @@ def test_get_known_viz_chart_snapshot(mocked_data_source): title="My Query Chart", description="", lastModified=ChangeAuditStamps( - created=AuditStamp( - time=1628882022544, actor="urn:li:corpuser:unknown" - ), + created=None, lastModified=AuditStamp( time=1628882022544, actor="urn:li:corpuser:unknown" ), @@ -584,9 +578,7 @@ def test_get_unknown_viz_chart_snapshot(mocked_data_source): title="My Query Sankey", description="", lastModified=ChangeAuditStamps( - created=AuditStamp( - time=1628882009571, actor="urn:li:corpuser:unknown" - ), + created=None, lastModified=AuditStamp( time=1628882009571, actor="urn:li:corpuser:unknown" ), @@ -711,9 +703,7 @@ def test_get_chart_snapshot_parse_table_names_from_sql(mocked_data_source): title="My Query Chart", description="", lastModified=ChangeAuditStamps( - created=AuditStamp( - time=1628882022544, actor="urn:li:corpuser:unknown" - ), + created=None, lastModified=AuditStamp( time=1628882022544, actor="urn:li:corpuser:unknown" ), diff --git a/metadata-ingestion/tests/unit/test_rest_sink.py b/metadata-ingestion/tests/unit/test_rest_sink.py index 7bfa09a35951b4..efa6c6678a8c75 100644 --- a/metadata-ingestion/tests/unit/test_rest_sink.py +++ b/metadata-ingestion/tests/unit/test_rest_sink.py @@ -75,7 +75,15 @@ } } }, - "systemMetadata": {}, + "systemMetadata": { + "lastObserved": 0, + "lastRunId": "no-run-id-provided", + "properties": { + "clientId": "acryl-datahub", + "clientVersion": "1!0.0.0.dev0", + }, + "runId": "no-run-id-provided", + }, }, ), ( @@ -125,7 +133,15 @@ } } }, - "systemMetadata": {}, + "systemMetadata": { + "lastObserved": 0, + "lastRunId": "no-run-id-provided", + "properties": { + "clientId": "acryl-datahub", + "clientVersion": "1!0.0.0.dev0", + }, + "runId": "no-run-id-provided", + }, }, ), ( @@ -161,7 +177,15 @@ } } }, - "systemMetadata": {}, + "systemMetadata": { + "lastObserved": 0, + "lastRunId": "no-run-id-provided", + "properties": { + "clientId": "acryl-datahub", + "clientVersion": "1!0.0.0.dev0", + }, + "runId": "no-run-id-provided", + }, }, ), ( @@ -238,6 +262,15 @@ "value": '{"owners": [{"owner": "urn:li:corpuser:fbar", "type": "DATAOWNER"}], "ownerTypes": {}, "lastModified": {"time": 0, "actor": "urn:li:corpuser:fbar"}}', "contentType": "application/json", }, + "systemMetadata": { + "lastObserved": 0, + "lastRunId": "no-run-id-provided", + "properties": { + "clientId": "acryl-datahub", + "clientVersion": "1!0.0.0.dev0", + }, + "runId": "no-run-id-provided", + }, } }, ), diff --git a/metadata-ingestion/tests/unit/test_snowflake_source.py b/metadata-ingestion/tests/unit/test_snowflake_source.py index 69a7510692df1d..3353e74449c957 100644 --- a/metadata-ingestion/tests/unit/test_snowflake_source.py +++ b/metadata-ingestion/tests/unit/test_snowflake_source.py @@ -14,7 +14,7 @@ SnowflakeCloudProvider, ) from datahub.ingestion.source.snowflake.snowflake_config import ( - DEFAULT_TABLES_DENY_LIST, + DEFAULT_TEMP_TABLES_PATTERNS, SnowflakeV2Config, ) from datahub.ingestion.source.snowflake.snowflake_query import ( @@ -24,7 +24,7 @@ from datahub.ingestion.source.snowflake.snowflake_usage_v2 import ( SnowflakeObjectAccessEntry, ) -from datahub.ingestion.source.snowflake.snowflake_utils import SnowflakeCommonMixin +from datahub.ingestion.source.snowflake.snowflake_utils import SnowsightUrlBuilder from datahub.ingestion.source.snowflake.snowflake_v2 import SnowflakeV2Source from tests.test_helpers import test_connection_helpers @@ -445,7 +445,9 @@ def test_aws_cloud_region_from_snowflake_region_id(): ( cloud, cloud_region_id, - ) = SnowflakeV2Source.get_cloud_region_from_snowflake_region_id("aws_ca_central_1") + ) = SnowsightUrlBuilder.get_cloud_region_from_snowflake_region_id( + "aws_ca_central_1" + ) assert cloud == SnowflakeCloudProvider.AWS assert cloud_region_id == "ca-central-1" @@ -453,7 +455,9 @@ def test_aws_cloud_region_from_snowflake_region_id(): ( cloud, cloud_region_id, - ) = SnowflakeV2Source.get_cloud_region_from_snowflake_region_id("aws_us_east_1_gov") + ) = SnowsightUrlBuilder.get_cloud_region_from_snowflake_region_id( + "aws_us_east_1_gov" + ) assert cloud == SnowflakeCloudProvider.AWS assert cloud_region_id == "us-east-1" @@ -463,7 +467,9 @@ def test_google_cloud_region_from_snowflake_region_id(): ( cloud, cloud_region_id, - ) = SnowflakeV2Source.get_cloud_region_from_snowflake_region_id("gcp_europe_west2") + ) = SnowsightUrlBuilder.get_cloud_region_from_snowflake_region_id( + "gcp_europe_west2" + ) assert cloud == SnowflakeCloudProvider.GCP assert cloud_region_id == "europe-west2" @@ -473,7 +479,7 @@ def test_azure_cloud_region_from_snowflake_region_id(): ( cloud, cloud_region_id, - ) = SnowflakeV2Source.get_cloud_region_from_snowflake_region_id( + ) = SnowsightUrlBuilder.get_cloud_region_from_snowflake_region_id( "azure_switzerlandnorth" ) @@ -483,7 +489,7 @@ def test_azure_cloud_region_from_snowflake_region_id(): ( cloud, cloud_region_id, - ) = SnowflakeV2Source.get_cloud_region_from_snowflake_region_id( + ) = SnowsightUrlBuilder.get_cloud_region_from_snowflake_region_id( "azure_centralindia" ) @@ -493,7 +499,7 @@ def test_azure_cloud_region_from_snowflake_region_id(): def test_unknown_cloud_region_from_snowflake_region_id(): with pytest.raises(Exception, match="Unknown snowflake region"): - SnowflakeV2Source.get_cloud_region_from_snowflake_region_id( + SnowsightUrlBuilder.get_cloud_region_from_snowflake_region_id( "somecloud_someregion" ) @@ -529,8 +535,10 @@ def test_snowflake_query_create_deny_regex_sql(): ) assert ( - create_deny_regex_sql_filter(DEFAULT_TABLES_DENY_LIST, ["upstream_table_name"]) - == r"NOT RLIKE(upstream_table_name,'.*\.FIVETRAN_.*_STAGING\..*','i') AND NOT RLIKE(upstream_table_name,'.*__DBT_TMP$','i') AND NOT RLIKE(upstream_table_name,'.*\.SEGMENT_[a-f0-9]{8}[-_][a-f0-9]{4}[-_][a-f0-9]{4}[-_][a-f0-9]{4}[-_][a-f0-9]{12}','i') AND NOT RLIKE(upstream_table_name,'.*\.STAGING_.*_[a-f0-9]{8}[-_][a-f0-9]{4}[-_][a-f0-9]{4}[-_][a-f0-9]{4}[-_][a-f0-9]{12}','i')" + create_deny_regex_sql_filter( + DEFAULT_TEMP_TABLES_PATTERNS, ["upstream_table_name"] + ) + == r"NOT RLIKE(upstream_table_name,'.*\.FIVETRAN_.*_STAGING\..*','i') AND NOT RLIKE(upstream_table_name,'.*__DBT_TMP$','i') AND NOT RLIKE(upstream_table_name,'.*\.SEGMENT_[a-f0-9]{8}[-_][a-f0-9]{4}[-_][a-f0-9]{4}[-_][a-f0-9]{4}[-_][a-f0-9]{12}','i') AND NOT RLIKE(upstream_table_name,'.*\.STAGING_.*_[a-f0-9]{8}[-_][a-f0-9]{4}[-_][a-f0-9]{4}[-_][a-f0-9]{4}[-_][a-f0-9]{12}','i') AND NOT RLIKE(upstream_table_name,'.*\.(GE_TMP_|GE_TEMP_|GX_TEMP_)[0-9A-F]{8}','i')" ) @@ -588,26 +596,15 @@ def test_email_filter_query_generation_with_case_insensitive_filter(): def test_create_snowsight_base_url_us_west(): - ( - cloud, - cloud_region_id, - ) = SnowflakeCommonMixin.get_cloud_region_from_snowflake_region_id("aws_us_west_2") - - result = SnowflakeCommonMixin.create_snowsight_base_url( - "account_locator", cloud_region_id, cloud, False - ) + result = SnowsightUrlBuilder( + "account_locator", "aws_us_west_2", privatelink=False + ).snowsight_base_url assert result == "https://app.snowflake.com/us-west-2/account_locator/" def test_create_snowsight_base_url_ap_northeast_1(): - ( - cloud, - cloud_region_id, - ) = SnowflakeCommonMixin.get_cloud_region_from_snowflake_region_id( - "aws_ap_northeast_1" - ) + result = SnowsightUrlBuilder( + "account_locator", "aws_ap_northeast_1", privatelink=False + ).snowsight_base_url - result = SnowflakeCommonMixin.create_snowsight_base_url( - "account_locator", cloud_region_id, cloud, False - ) assert result == "https://app.snowflake.com/ap-northeast-1.aws/account_locator/" diff --git a/metadata-ingestion/tests/unit/test_tableau_source.py b/metadata-ingestion/tests/unit/test_tableau_source.py index 41117914d552ef..f5410b161ed703 100644 --- a/metadata-ingestion/tests/unit/test_tableau_source.py +++ b/metadata-ingestion/tests/unit/test_tableau_source.py @@ -1,12 +1,12 @@ import pytest import datahub.ingestion.source.tableau_constant as c -from datahub.ingestion.source.tableau import TableauSource +from datahub.ingestion.source.tableau import TableauSiteSource from datahub.ingestion.source.tableau_common import get_filter_pages, make_filter def test_tableau_source_unescapes_lt(): - res = TableauSource._clean_tableau_query_parameters( + res = TableauSiteSource._clean_tableau_query_parameters( "select * from t where c1 << 135" ) @@ -14,7 +14,7 @@ def test_tableau_source_unescapes_lt(): def test_tableau_source_unescapes_gt(): - res = TableauSource._clean_tableau_query_parameters( + res = TableauSiteSource._clean_tableau_query_parameters( "select * from t where c1 >> 135" ) @@ -22,7 +22,7 @@ def test_tableau_source_unescapes_gt(): def test_tableau_source_unescapes_gte(): - res = TableauSource._clean_tableau_query_parameters( + res = TableauSiteSource._clean_tableau_query_parameters( "select * from t where c1 >>= 135" ) @@ -30,7 +30,7 @@ def test_tableau_source_unescapes_gte(): def test_tableau_source_unescapeslgte(): - res = TableauSource._clean_tableau_query_parameters( + res = TableauSiteSource._clean_tableau_query_parameters( "select * from t where c1 <<= 135" ) @@ -38,7 +38,7 @@ def test_tableau_source_unescapeslgte(): def test_tableau_source_doesnt_touch_not_escaped(): - res = TableauSource._clean_tableau_query_parameters( + res = TableauSiteSource._clean_tableau_query_parameters( "select * from t where c1 < 135 and c2 > 15" ) @@ -70,7 +70,7 @@ def test_tableau_source_doesnt_touch_not_escaped(): @pytest.mark.parametrize("p", TABLEAU_PARAMS) def test_tableau_source_cleanups_tableau_parameters_in_equi_predicates(p): assert ( - TableauSource._clean_tableau_query_parameters( + TableauSiteSource._clean_tableau_query_parameters( f"select * from t where c1 = {p} and c2 = {p} and c3 = 7" ) == "select * from t where c1 = 1 and c2 = 1 and c3 = 7" @@ -80,7 +80,7 @@ def test_tableau_source_cleanups_tableau_parameters_in_equi_predicates(p): @pytest.mark.parametrize("p", TABLEAU_PARAMS) def test_tableau_source_cleanups_tableau_parameters_in_lt_gt_predicates(p): assert ( - TableauSource._clean_tableau_query_parameters( + TableauSiteSource._clean_tableau_query_parameters( f"select * from t where c1 << {p} and c2<<{p} and c3 >> {p} and c4>>{p} or {p} >> c1 and {p}>>c2 and {p} << c3 and {p}< 1 and c4>1 or 1 > c1 and 1>c2 and 1 < c3 and 1>= {p} and c4>>={p} or {p} >>= c1 and {p}>>=c2 and {p} <<= c3 and {p}<<=c4" ) == "select * from t where c1 <= 1 and c2<=1 and c3 >= 1 and c4>=1 or 1 >= c1 and 1>=c2 and 1 <= c3 and 1<=c4" @@ -100,7 +100,7 @@ def test_tableau_source_cleanups_tableau_parameters_in_lte_gte_predicates(p): @pytest.mark.parametrize("p", TABLEAU_PARAMS) def test_tableau_source_cleanups_tableau_parameters_in_join_predicate(p): assert ( - TableauSource._clean_tableau_query_parameters( + TableauSiteSource._clean_tableau_query_parameters( f"select * from t1 inner join t2 on t1.id = t2.id and t2.c21 = {p} and t1.c11 = 123 + {p}" ) == "select * from t1 inner join t2 on t1.id = t2.id and t2.c21 = 1 and t1.c11 = 123 + 1" @@ -110,7 +110,7 @@ def test_tableau_source_cleanups_tableau_parameters_in_join_predicate(p): @pytest.mark.parametrize("p", TABLEAU_PARAMS) def test_tableau_source_cleanups_tableau_parameters_in_complex_expressions(p): assert ( - TableauSource._clean_tableau_query_parameters( + TableauSiteSource._clean_tableau_query_parameters( f"select myudf1(c1, {p}, c2) / myudf2({p}) > ({p} + 3 * {p} * c5) * {p} - c4" ) == "select myudf1(c1, 1, c2) / myudf2(1) > (1 + 3 * 1 * c5) * 1 - c4" @@ -120,7 +120,7 @@ def test_tableau_source_cleanups_tableau_parameters_in_complex_expressions(p): @pytest.mark.parametrize("p", TABLEAU_PARAMS) def test_tableau_source_cleanups_tableau_parameters_in_udfs(p): assert ( - TableauSource._clean_tableau_query_parameters(f"select myudf({p}) from t") + TableauSiteSource._clean_tableau_query_parameters(f"select myudf({p}) from t") == "select myudf(1) from t" ) diff --git a/metadata-ingestion/tests/unit/test_transform_dataset.py b/metadata-ingestion/tests/unit/test_transform_dataset.py index a0deae972badb4..4c4e1620f4faae 100644 --- a/metadata-ingestion/tests/unit/test_transform_dataset.py +++ b/metadata-ingestion/tests/unit/test_transform_dataset.py @@ -70,7 +70,10 @@ from datahub.ingestion.transformer.dataset_domain_based_on_tags import ( DatasetTagDomainMapper, ) -from datahub.ingestion.transformer.dataset_transformer import DatasetTransformer +from datahub.ingestion.transformer.dataset_transformer import ( + DatasetTransformer, + TagTransformer, +) from datahub.ingestion.transformer.extract_dataset_tags import ExtractDatasetTags from datahub.ingestion.transformer.extract_ownership_from_tags import ( ExtractOwnersFromTagsTransformer, @@ -86,6 +89,7 @@ SimpleRemoveDatasetOwnership, ) from datahub.ingestion.transformer.replace_external_url import ReplaceExternalUrl +from datahub.ingestion.transformer.tags_to_terms import TagsToTermMapper from datahub.metadata.schema_classes import ( BrowsePathsClass, DatasetPropertiesClass, @@ -1891,12 +1895,14 @@ def test_pattern_dataset_schema_tags_transformation(mock_time): def run_dataset_transformer_pipeline( - transformer_type: Type[DatasetTransformer], + transformer_type: Type[Union[DatasetTransformer, TagTransformer]], aspect: Optional[builder.Aspect], config: dict, - pipeline_context: PipelineContext = PipelineContext(run_id="transformer_pipe_line"), + pipeline_context: Optional[PipelineContext] = None, use_mce: bool = False, ) -> List[RecordEnvelope]: + if pipeline_context is None: + pipeline_context = PipelineContext(run_id="transformer_pipe_line") transformer: DatasetTransformer = cast( DatasetTransformer, transformer_type.create(config, pipeline_context) ) @@ -1935,7 +1941,7 @@ def test_simple_add_dataset_domain_aspect_name(mock_datahub_graph): def test_simple_add_dataset_domain(mock_datahub_graph): acryl_domain = builder.make_domain_urn("acryl.io") - gslab_domain = builder.make_domain_urn("gslab.io") + datahub_domain = builder.make_domain_urn("datahubproject.io") pipeline_context: PipelineContext = PipelineContext( run_id="test_simple_add_dataset_domain" @@ -1944,7 +1950,7 @@ def test_simple_add_dataset_domain(mock_datahub_graph): output = run_dataset_transformer_pipeline( transformer_type=SimpleAddDatasetDomain, - aspect=models.DomainsClass(domains=[gslab_domain]), + aspect=models.DomainsClass(domains=[datahub_domain]), config={"domains": [acryl_domain]}, pipeline_context=pipeline_context, ) @@ -1957,13 +1963,13 @@ def test_simple_add_dataset_domain(mock_datahub_graph): assert isinstance(output[0].record.aspect, models.DomainsClass) transformed_aspect = cast(models.DomainsClass, output[0].record.aspect) assert len(transformed_aspect.domains) == 2 - assert gslab_domain in transformed_aspect.domains + assert datahub_domain in transformed_aspect.domains assert acryl_domain in transformed_aspect.domains def test_simple_add_dataset_domain_mce_support(mock_datahub_graph): acryl_domain = builder.make_domain_urn("acryl.io") - gslab_domain = builder.make_domain_urn("gslab.io") + datahub_domain = builder.make_domain_urn("datahubproject.io") pipeline_context: PipelineContext = PipelineContext( run_id="test_simple_add_dataset_domain" @@ -1973,7 +1979,7 @@ def test_simple_add_dataset_domain_mce_support(mock_datahub_graph): output = run_dataset_transformer_pipeline( transformer_type=SimpleAddDatasetDomain, aspect=None, - config={"domains": [gslab_domain, acryl_domain]}, + config={"domains": [datahub_domain, acryl_domain]}, pipeline_context=pipeline_context, use_mce=True, ) @@ -1988,13 +1994,13 @@ def test_simple_add_dataset_domain_mce_support(mock_datahub_graph): assert isinstance(output[1].record.aspect, models.DomainsClass) transformed_aspect = cast(models.DomainsClass, output[1].record.aspect) assert len(transformed_aspect.domains) == 2 - assert gslab_domain in transformed_aspect.domains + assert datahub_domain in transformed_aspect.domains assert acryl_domain in transformed_aspect.domains def test_simple_add_dataset_domain_replace_existing(mock_datahub_graph): acryl_domain = builder.make_domain_urn("acryl.io") - gslab_domain = builder.make_domain_urn("gslab.io") + datahub_domain = builder.make_domain_urn("datahubproject.io") pipeline_context: PipelineContext = PipelineContext( run_id="test_simple_add_dataset_domain" @@ -2003,7 +2009,7 @@ def test_simple_add_dataset_domain_replace_existing(mock_datahub_graph): output = run_dataset_transformer_pipeline( transformer_type=SimpleAddDatasetDomain, - aspect=models.DomainsClass(domains=[gslab_domain]), + aspect=models.DomainsClass(domains=[datahub_domain]), config={"replace_existing": True, "domains": [acryl_domain]}, pipeline_context=pipeline_context, ) @@ -2016,13 +2022,13 @@ def test_simple_add_dataset_domain_replace_existing(mock_datahub_graph): assert isinstance(output[0].record.aspect, models.DomainsClass) transformed_aspect = cast(models.DomainsClass, output[0].record.aspect) assert len(transformed_aspect.domains) == 1 - assert gslab_domain not in transformed_aspect.domains + assert datahub_domain not in transformed_aspect.domains assert acryl_domain in transformed_aspect.domains def test_simple_add_dataset_domain_semantics_overwrite(mock_datahub_graph): acryl_domain = builder.make_domain_urn("acryl.io") - gslab_domain = builder.make_domain_urn("gslab.io") + datahub_domain = builder.make_domain_urn("datahubproject.io") server_domain = builder.make_domain_urn("test.io") pipeline_context = PipelineContext(run_id="transformer_pipe_line") @@ -2036,7 +2042,7 @@ def fake_get_domain(entity_urn: str) -> models.DomainsClass: output = run_dataset_transformer_pipeline( transformer_type=SimpleAddDatasetDomain, - aspect=models.DomainsClass(domains=[gslab_domain]), + aspect=models.DomainsClass(domains=[datahub_domain]), config={ "semantics": TransformerSemantics.OVERWRITE, "domains": [acryl_domain], @@ -2052,7 +2058,7 @@ def fake_get_domain(entity_urn: str) -> models.DomainsClass: assert isinstance(output[0].record.aspect, models.DomainsClass) transformed_aspect = cast(models.DomainsClass, output[0].record.aspect) assert len(transformed_aspect.domains) == 2 - assert gslab_domain in transformed_aspect.domains + assert datahub_domain in transformed_aspect.domains assert acryl_domain in transformed_aspect.domains assert server_domain not in transformed_aspect.domains @@ -2061,7 +2067,7 @@ def test_simple_add_dataset_domain_semantics_patch( pytestconfig, tmp_path, mock_time, mock_datahub_graph ): acryl_domain = builder.make_domain_urn("acryl.io") - gslab_domain = builder.make_domain_urn("gslab.io") + datahub_domain = builder.make_domain_urn("datahubproject.io") server_domain = builder.make_domain_urn("test.io") pipeline_context = PipelineContext(run_id="transformer_pipe_line") @@ -2075,7 +2081,7 @@ def fake_get_domain(entity_urn: str) -> models.DomainsClass: output = run_dataset_transformer_pipeline( transformer_type=SimpleAddDatasetDomain, - aspect=models.DomainsClass(domains=[gslab_domain]), + aspect=models.DomainsClass(domains=[datahub_domain]), config={ "replace_existing": False, "semantics": TransformerSemantics.PATCH, @@ -2092,7 +2098,7 @@ def fake_get_domain(entity_urn: str) -> models.DomainsClass: assert isinstance(output[0].record.aspect, models.DomainsClass) transformed_aspect = cast(models.DomainsClass, output[0].record.aspect) assert len(transformed_aspect.domains) == 3 - assert gslab_domain in transformed_aspect.domains + assert datahub_domain in transformed_aspect.domains assert acryl_domain in transformed_aspect.domains assert server_domain in transformed_aspect.domains @@ -2111,7 +2117,7 @@ def test_pattern_add_dataset_domain_aspect_name(mock_datahub_graph): def test_pattern_add_dataset_domain_match(mock_datahub_graph): acryl_domain = builder.make_domain_urn("acryl.io") - gslab_domain = builder.make_domain_urn("gslab.io") + datahub_domain = builder.make_domain_urn("datahubproject.io") pattern = "urn:li:dataset:\\(urn:li:dataPlatform:bigquery,.*" pipeline_context: PipelineContext = PipelineContext( @@ -2121,7 +2127,7 @@ def test_pattern_add_dataset_domain_match(mock_datahub_graph): output = run_dataset_transformer_pipeline( transformer_type=PatternAddDatasetDomain, - aspect=models.DomainsClass(domains=[gslab_domain]), + aspect=models.DomainsClass(domains=[datahub_domain]), config={ "domain_pattern": {"rules": {pattern: [acryl_domain]}}, }, @@ -2136,13 +2142,13 @@ def test_pattern_add_dataset_domain_match(mock_datahub_graph): assert isinstance(output[0].record.aspect, models.DomainsClass) transformed_aspect = cast(models.DomainsClass, output[0].record.aspect) assert len(transformed_aspect.domains) == 2 - assert gslab_domain in transformed_aspect.domains + assert datahub_domain in transformed_aspect.domains assert acryl_domain in transformed_aspect.domains def test_pattern_add_dataset_domain_no_match(mock_datahub_graph): acryl_domain = builder.make_domain_urn("acryl.io") - gslab_domain = builder.make_domain_urn("gslab.io") + datahub_domain = builder.make_domain_urn("datahubproject.io") pattern = "urn:li:dataset:\\(urn:li:dataPlatform:invalid,.*" pipeline_context: PipelineContext = PipelineContext( @@ -2152,7 +2158,7 @@ def test_pattern_add_dataset_domain_no_match(mock_datahub_graph): output = run_dataset_transformer_pipeline( transformer_type=PatternAddDatasetDomain, - aspect=models.DomainsClass(domains=[gslab_domain]), + aspect=models.DomainsClass(domains=[datahub_domain]), config={ "domain_pattern": {"rules": {pattern: [acryl_domain]}}, }, @@ -2167,13 +2173,13 @@ def test_pattern_add_dataset_domain_no_match(mock_datahub_graph): assert isinstance(output[0].record.aspect, models.DomainsClass) transformed_aspect = cast(models.DomainsClass, output[0].record.aspect) assert len(transformed_aspect.domains) == 1 - assert gslab_domain in transformed_aspect.domains + assert datahub_domain in transformed_aspect.domains assert acryl_domain not in transformed_aspect.domains def test_pattern_add_dataset_domain_replace_existing_match(mock_datahub_graph): acryl_domain = builder.make_domain_urn("acryl.io") - gslab_domain = builder.make_domain_urn("gslab.io") + datahub_domain = builder.make_domain_urn("datahubproject.io") pattern = "urn:li:dataset:\\(urn:li:dataPlatform:bigquery,.*" pipeline_context: PipelineContext = PipelineContext( @@ -2183,7 +2189,7 @@ def test_pattern_add_dataset_domain_replace_existing_match(mock_datahub_graph): output = run_dataset_transformer_pipeline( transformer_type=PatternAddDatasetDomain, - aspect=models.DomainsClass(domains=[gslab_domain]), + aspect=models.DomainsClass(domains=[datahub_domain]), config={ "replace_existing": True, "domain_pattern": {"rules": {pattern: [acryl_domain]}}, @@ -2199,13 +2205,13 @@ def test_pattern_add_dataset_domain_replace_existing_match(mock_datahub_graph): assert isinstance(output[0].record.aspect, models.DomainsClass) transformed_aspect = cast(models.DomainsClass, output[0].record.aspect) assert len(transformed_aspect.domains) == 1 - assert gslab_domain not in transformed_aspect.domains + assert datahub_domain not in transformed_aspect.domains assert acryl_domain in transformed_aspect.domains def test_pattern_add_dataset_domain_replace_existing_no_match(mock_datahub_graph): acryl_domain = builder.make_domain_urn("acryl.io") - gslab_domain = builder.make_domain_urn("gslab.io") + datahub_domain = builder.make_domain_urn("datahubproject.io") pattern = "urn:li:dataset:\\(urn:li:dataPlatform:invalid,.*" pipeline_context: PipelineContext = PipelineContext( @@ -2215,7 +2221,7 @@ def test_pattern_add_dataset_domain_replace_existing_no_match(mock_datahub_graph output = run_dataset_transformer_pipeline( transformer_type=PatternAddDatasetDomain, - aspect=models.DomainsClass(domains=[gslab_domain]), + aspect=models.DomainsClass(domains=[datahub_domain]), config={ "replace_existing": True, "domain_pattern": {"rules": {pattern: [acryl_domain]}}, @@ -2235,7 +2241,7 @@ def test_pattern_add_dataset_domain_replace_existing_no_match(mock_datahub_graph def test_pattern_add_dataset_domain_semantics_overwrite(mock_datahub_graph): acryl_domain = builder.make_domain_urn("acryl.io") - gslab_domain = builder.make_domain_urn("gslab.io") + datahub_domain = builder.make_domain_urn("datahubproject.io") server_domain = builder.make_domain_urn("test.io") pattern = "urn:li:dataset:\\(urn:li:dataPlatform:bigquery,.*" @@ -2250,7 +2256,7 @@ def fake_get_domain(entity_urn: str) -> models.DomainsClass: output = run_dataset_transformer_pipeline( transformer_type=PatternAddDatasetDomain, - aspect=models.DomainsClass(domains=[gslab_domain]), + aspect=models.DomainsClass(domains=[datahub_domain]), config={ "semantics": TransformerSemantics.OVERWRITE, "domain_pattern": {"rules": {pattern: [acryl_domain]}}, @@ -2266,7 +2272,7 @@ def fake_get_domain(entity_urn: str) -> models.DomainsClass: assert isinstance(output[0].record.aspect, models.DomainsClass) transformed_aspect = cast(models.DomainsClass, output[0].record.aspect) assert len(transformed_aspect.domains) == 2 - assert gslab_domain in transformed_aspect.domains + assert datahub_domain in transformed_aspect.domains assert acryl_domain in transformed_aspect.domains assert server_domain not in transformed_aspect.domains @@ -2275,7 +2281,7 @@ def test_pattern_add_dataset_domain_semantics_patch( pytestconfig, tmp_path, mock_time, mock_datahub_graph ): acryl_domain = builder.make_domain_urn("acryl.io") - gslab_domain = builder.make_domain_urn("gslab.io") + datahub_domain = builder.make_domain_urn("datahubproject.io") server_domain = builder.make_domain_urn("test.io") pattern = "urn:li:dataset:\\(urn:li:dataPlatform:bigquery,.*" @@ -2290,7 +2296,7 @@ def fake_get_domain(entity_urn: str) -> models.DomainsClass: output = run_dataset_transformer_pipeline( transformer_type=PatternAddDatasetDomain, - aspect=models.DomainsClass(domains=[gslab_domain]), + aspect=models.DomainsClass(domains=[datahub_domain]), config={ "replace_existing": False, "semantics": TransformerSemantics.PATCH, @@ -2307,7 +2313,7 @@ def fake_get_domain(entity_urn: str) -> models.DomainsClass: assert isinstance(output[0].record.aspect, models.DomainsClass) transformed_aspect = cast(models.DomainsClass, output[0].record.aspect) assert len(transformed_aspect.domains) == 3 - assert gslab_domain in transformed_aspect.domains + assert datahub_domain in transformed_aspect.domains assert acryl_domain in transformed_aspect.domains assert server_domain in transformed_aspect.domains @@ -3651,3 +3657,213 @@ def fake_get_tags(entity_urn: str) -> Optional[models.GlobalTagsClass]: assert len(transformed_aspect.domains) == 1 assert acryl_domain in transformed_aspect.domains assert server_domain not in transformed_aspect.domains + + +def test_tags_to_terms_transformation(mock_datahub_graph): + # Create domain URNs for the test + term_urn_example1 = builder.make_term_urn("example1") + term_urn_example2 = builder.make_term_urn("example2") + + def fake_get_tags(entity_urn: str) -> models.GlobalTagsClass: + return models.GlobalTagsClass( + tags=[ + TagAssociationClass(tag=builder.make_tag_urn("example1")), + TagAssociationClass(tag=builder.make_tag_urn("example2")), + ] + ) + + # fake the server response + def fake_schema_metadata(entity_urn: str) -> models.SchemaMetadataClass: + return models.SchemaMetadataClass( + schemaName="customer", # not used + platform=builder.make_data_platform_urn( + "hive" + ), # important <- platform must be an urn + version=0, + # when the source system has a notion of versioning of schemas, insert this in, otherwise leave as 0 + hash="", + # when the source system has a notion of unique schemas identified via hash, include a hash, else leave it as empty string + platformSchema=models.OtherSchemaClass( + rawSchema="__insert raw schema here__" + ), + fields=[ + models.SchemaFieldClass( + fieldPath="first_name", + globalTags=models.GlobalTagsClass( + tags=[ + models.TagAssociationClass( + tag=builder.make_tag_urn("example2") + ) + ], + ), + glossaryTerms=models.GlossaryTermsClass( + terms=[ + models.GlossaryTermAssociationClass( + urn=builder.make_term_urn("pii") + ) + ], + auditStamp=models.AuditStampClass._construct_with_defaults(), + ), + type=models.SchemaFieldDataTypeClass(type=models.StringTypeClass()), + nativeDataType="VARCHAR(100)", + # use this to provide the type of the field in the source system's vernacular + ), + models.SchemaFieldClass( + fieldPath="mobile_number", + glossaryTerms=models.GlossaryTermsClass( + terms=[ + models.GlossaryTermAssociationClass( + urn=builder.make_term_urn("pii") + ) + ], + auditStamp=models.AuditStampClass._construct_with_defaults(), + ), + type=models.SchemaFieldDataTypeClass(type=models.StringTypeClass()), + nativeDataType="VARCHAR(100)", + # use this to provide the type of the field in the source system's vernacular + ), + ], + ) + + pipeline_context = PipelineContext(run_id="transformer_pipe_line") + pipeline_context.graph = mock_datahub_graph(DatahubClientConfig()) + pipeline_context.graph.get_tags = fake_get_tags # type: ignore + pipeline_context.graph.get_schema_metadata = fake_schema_metadata # type: ignore + + # Configuring the transformer + config = {"tags": ["example1", "example2"]} + + # Running the transformer within a test pipeline + output = run_dataset_transformer_pipeline( + transformer_type=TagsToTermMapper, + aspect=models.GlossaryTermsClass( + terms=[ + models.GlossaryTermAssociationClass(urn=builder.make_term_urn("pii")) + ], + auditStamp=models.AuditStampClass._construct_with_defaults(), + ), + config=config, + pipeline_context=pipeline_context, + ) + + # Expected results + expected_terms = [term_urn_example2, term_urn_example1] + + # Verify the output + assert len(output) == 2 # One for result and one for end of stream + terms_aspect = output[0].record.aspect + assert isinstance(terms_aspect, models.GlossaryTermsClass) + assert len(terms_aspect.terms) == len(expected_terms) + assert set(term.urn for term in terms_aspect.terms) == { + "urn:li:glossaryTerm:example1", + "urn:li:glossaryTerm:example2", + } + + +def test_tags_to_terms_with_no_matching_terms(mock_datahub_graph): + # Setup for test where no tags match the provided term mappings + def fake_get_tags_no_match(entity_urn: str) -> models.GlobalTagsClass: + return models.GlobalTagsClass( + tags=[ + TagAssociationClass(tag=builder.make_tag_urn("nonMatchingTag1")), + TagAssociationClass(tag=builder.make_tag_urn("nonMatchingTag2")), + ] + ) + + pipeline_context = PipelineContext(run_id="transformer_pipe_line") + pipeline_context.graph = mock_datahub_graph(DatahubClientConfig()) + pipeline_context.graph.get_tags = fake_get_tags_no_match # type: ignore + + # No matching terms in config + config = {"tags": ["example1", "example2"]} + + # Running the transformer within a test pipeline + output = run_dataset_transformer_pipeline( + transformer_type=TagsToTermMapper, + aspect=models.GlossaryTermsClass( + terms=[ + models.GlossaryTermAssociationClass(urn=builder.make_term_urn("pii")) + ], + auditStamp=models.AuditStampClass._construct_with_defaults(), + ), + config=config, + pipeline_context=pipeline_context, + ) + + # Verify the output + assert len(output) == 2 # One for result and one for end of stream + terms_aspect = output[0].record.aspect + assert isinstance(terms_aspect, models.GlossaryTermsClass) + assert len(terms_aspect.terms) == 1 + + +def test_tags_to_terms_with_missing_tags(mock_datahub_graph): + # Setup for test where no tags are present + def fake_get_no_tags(entity_urn: str) -> models.GlobalTagsClass: + return models.GlobalTagsClass(tags=[]) + + pipeline_context = PipelineContext(run_id="transformer_pipe_line") + pipeline_context.graph = mock_datahub_graph(DatahubClientConfig()) + pipeline_context.graph.get_tags = fake_get_no_tags # type: ignore + + config = {"tags": ["example1", "example2"]} + + # Running the transformer with no tags + output = run_dataset_transformer_pipeline( + transformer_type=TagsToTermMapper, + aspect=models.GlossaryTermsClass( + terms=[ + models.GlossaryTermAssociationClass(urn=builder.make_term_urn("pii")) + ], + auditStamp=models.AuditStampClass._construct_with_defaults(), + ), + config=config, + pipeline_context=pipeline_context, + ) + + # Verify that no terms are added when there are no tags + assert len(output) == 2 + terms_aspect = output[0].record.aspect + assert isinstance(terms_aspect, models.GlossaryTermsClass) + assert len(terms_aspect.terms) == 1 + + +def test_tags_to_terms_with_partial_match(mock_datahub_graph): + # Setup for partial match scenario + def fake_get_partial_match_tags(entity_urn: str) -> models.GlobalTagsClass: + return models.GlobalTagsClass( + tags=[ + TagAssociationClass( + tag=builder.make_tag_urn("example1") + ), # Should match + TagAssociationClass( + tag=builder.make_tag_urn("nonMatchingTag") + ), # No match + ] + ) + + pipeline_context = PipelineContext(run_id="transformer_pipe_line") + pipeline_context.graph = mock_datahub_graph(DatahubClientConfig()) + pipeline_context.graph.get_tags = fake_get_partial_match_tags # type: ignore + + config = {"tags": ["example1"]} # Only 'example1' has a term mapped + + # Running the transformer with partial matching tags + output = run_dataset_transformer_pipeline( + transformer_type=TagsToTermMapper, + aspect=models.GlossaryTermsClass( + terms=[ + models.GlossaryTermAssociationClass(urn=builder.make_term_urn("pii")) + ], + auditStamp=models.AuditStampClass._construct_with_defaults(), + ), + config=config, + pipeline_context=pipeline_context, + ) + + # Verify that only matched term is added + assert len(output) == 2 + terms_aspect = output[0].record.aspect + assert isinstance(terms_aspect, models.GlossaryTermsClass) + assert len(terms_aspect.terms) == 1 + assert terms_aspect.terms[0].urn == "urn:li:glossaryTerm:example1" diff --git a/metadata-integration/java/custom-plugin-lib/build.gradle b/metadata-integration/java/custom-plugin-lib/build.gradle index 08bbe587b49c0c..305dbe9578fa04 100644 --- a/metadata-integration/java/custom-plugin-lib/build.gradle +++ b/metadata-integration/java/custom-plugin-lib/build.gradle @@ -38,6 +38,16 @@ configurations.all { exclude group: 'org.antlr' } +task sourcesJar(type: Jar) { + archiveClassifier = 'sources' + from sourceSets.main.allSource +} + +task javadocJar(type: Jar) { + archiveClassifier = 'javadoc' + from javadoc +} + shadowJar { zip64 = true archiveClassifier = '' @@ -59,7 +69,7 @@ publishing { artifactId = 'datahub-custom-plugin-lib' description = 'DataHub Java Custom Plugin dependencies' url = 'https://datahubproject.io' - artifacts = [shadowJar] + artifacts = [shadowJar, javadocJar, sourcesJar] scm { connection = 'scm:git:git://github.com/datahub-project/datahub.git' diff --git a/metadata-integration/java/datahub-client/src/main/resources/MetadataChangeProposal.avsc b/metadata-integration/java/datahub-client/src/main/resources/MetadataChangeProposal.avsc index 12ace42f3af273..126d5cf6bcee38 100644 --- a/metadata-integration/java/datahub-client/src/main/resources/MetadataChangeProposal.avsc +++ b/metadata-integration/java/datahub-client/src/main/resources/MetadataChangeProposal.avsc @@ -167,9 +167,22 @@ } ], "doc" : "Additional properties", "default" : null + }, { + "name" : "version", + "type" : [ "null", "string" ], + "doc" : "Aspect version\n Initial implementation will use the aspect version's number, however stored as\n a string in the case where a different aspect versioning scheme is later adopted.", + "default" : null } ] } ], - "doc" : "A string->string map of custom properties that one might want to attach to an event", + "doc" : "System properties that one might want to attach to an event", + "default" : null + }, { + "name" : "headers", + "type" : [ "null", { + "type" : "map", + "values" : "string" + } ], + "doc" : "Headers - intended to mimic http headers", "default" : null } ] } \ No newline at end of file diff --git a/metadata-integration/java/datahub-client/src/test/java/datahub/client/patch/PatchTest.java b/metadata-integration/java/datahub-client/src/test/java/datahub/client/patch/PatchTest.java index 46d1481836fe72..95d20600797804 100644 --- a/metadata-integration/java/datahub-client/src/test/java/datahub/client/patch/PatchTest.java +++ b/metadata-integration/java/datahub-client/src/test/java/datahub/client/patch/PatchTest.java @@ -17,7 +17,12 @@ import com.linkedin.common.urn.TagUrn; import com.linkedin.common.urn.Urn; import com.linkedin.common.urn.UrnUtils; +import com.linkedin.data.template.StringArray; +import com.linkedin.data.template.StringArrayMap; import com.linkedin.dataset.DatasetLineageType; +import com.linkedin.form.FormPrompt; +import com.linkedin.form.FormPromptType; +import com.linkedin.form.StructuredPropertyParams; import com.linkedin.metadata.aspect.patch.builder.ChartInfoPatchBuilder; import com.linkedin.metadata.aspect.patch.builder.DashboardInfoPatchBuilder; import com.linkedin.metadata.aspect.patch.builder.DataFlowInfoPatchBuilder; @@ -25,10 +30,16 @@ import com.linkedin.metadata.aspect.patch.builder.DataJobInputOutputPatchBuilder; import com.linkedin.metadata.aspect.patch.builder.DatasetPropertiesPatchBuilder; import com.linkedin.metadata.aspect.patch.builder.EditableSchemaMetadataPatchBuilder; +import com.linkedin.metadata.aspect.patch.builder.FormInfoPatchBuilder; import com.linkedin.metadata.aspect.patch.builder.OwnershipPatchBuilder; +import com.linkedin.metadata.aspect.patch.builder.StructuredPropertiesPatchBuilder; +import com.linkedin.metadata.aspect.patch.builder.StructuredPropertyDefinitionPatchBuilder; import com.linkedin.metadata.aspect.patch.builder.UpstreamLineagePatchBuilder; import com.linkedin.metadata.graph.LineageDirection; import com.linkedin.mxe.MetadataChangeProposal; +import com.linkedin.structured.PrimitivePropertyValue; +import com.linkedin.structured.PropertyCardinality; +import com.linkedin.structured.PropertyValue; import datahub.client.MetadataWriteResponse; import datahub.client.file.FileEmitter; import datahub.client.file.FileEmitterConfig; @@ -37,6 +48,7 @@ import java.io.IOException; import java.net.URISyntaxException; import java.util.Arrays; +import java.util.List; import java.util.concurrent.ExecutionException; import java.util.concurrent.Future; import org.junit.Ignore; @@ -641,4 +653,138 @@ public void testLocalDashboardInfoRemove() { System.out.println(Arrays.asList(e.getStackTrace())); } } + + @Test + @Ignore + public void testLocalStructuredPropertyDefinitionAdd() { + RestEmitter restEmitter = new RestEmitter(RestEmitterConfig.builder().build()); + try { + StringArrayMap typeQualifier = new StringArrayMap(); + typeQualifier.put( + "allowedTypes", + new StringArray( + "urn:li:entityType:datahub.corpuser", "urn:li:entityType:datahub.corpGroup")); + PropertyValue propertyValue1 = new PropertyValue(); + PrimitivePropertyValue value1 = new PrimitivePropertyValue(); + value1.setString("test value 1"); + propertyValue1.setValue(value1); + PropertyValue propertyValue2 = new PropertyValue(); + PrimitivePropertyValue value2 = new PrimitivePropertyValue(); + value2.setString("test value 2"); + propertyValue2.setValue(value2); + + MetadataChangeProposal structuredPropertyDefinitionPatch = + new StructuredPropertyDefinitionPatchBuilder() + .urn(UrnUtils.getUrn("urn:li:structuredProperty:123456")) + .setQualifiedName("test.testing.123") + .setDisplayName("Test Display Name") + .setValueType("urn:li:dataType:datahub.urn") + .setTypeQualifier(typeQualifier) + .addAllowedValue(propertyValue1) + .addAllowedValue(propertyValue2) + .setCardinality(PropertyCardinality.MULTIPLE) + .addEntityType("urn:li:entityType:datahub.dataFlow") + .setDescription("test description") + .setImmutable(true) + .build(); + + Future response = restEmitter.emit(structuredPropertyDefinitionPatch); + + System.out.println(response.get().getResponseContent()); + + } catch (IOException | ExecutionException | InterruptedException e) { + System.out.println(Arrays.asList(e.getStackTrace())); + } + } + + @Test + @Ignore + public void testLocalFormInfoAdd() { + RestEmitter restEmitter = new RestEmitter(RestEmitterConfig.builder().build()); + try { + FormPrompt newPrompt = + new FormPrompt() + .setId("1234") + .setTitle("First Prompt") + .setType(FormPromptType.STRUCTURED_PROPERTY) + .setRequired(true) + .setStructuredPropertyParams( + new StructuredPropertyParams() + .setUrn(UrnUtils.getUrn("urn:li:structuredProperty:property1"))); + FormPrompt newPrompt2 = + new FormPrompt() + .setId("abcd") + .setTitle("Second Prompt") + .setType(FormPromptType.FIELDS_STRUCTURED_PROPERTY) + .setRequired(false) + .setStructuredPropertyParams( + new StructuredPropertyParams() + .setUrn(UrnUtils.getUrn("urn:li:structuredProperty:property1"))); + + MetadataChangeProposal formInfoPatch = + new FormInfoPatchBuilder() + .urn(UrnUtils.getUrn("urn:li:form:123456")) + .addPrompts(List.of(newPrompt, newPrompt2)) + .setName("Metadata Initiative 2024 (edited)") + .setDescription("Edited description") + .setOwnershipForm(true) + .addAssignedUser("urn:li:corpuser:admin") + .addAssignedGroup("urn:li:corpGroup:jdoe") + .build(); + Future response = restEmitter.emit(formInfoPatch); + + System.out.println(response.get().getResponseContent()); + + } catch (IOException | ExecutionException | InterruptedException e) { + System.out.println(Arrays.asList(e.getStackTrace())); + } + } + + @Test + @Ignore + public void testLocalStructuredPropertiesUpdate() { + try { + MetadataChangeProposal mcp = + new StructuredPropertiesPatchBuilder() + .urn( + UrnUtils.getUrn( + "urn:li:dataset:(urn:li:dataPlatform:hive,SampleCypressHiveDataset,PROD)")) + .setNumberProperty( + UrnUtils.getUrn( + "urn:li:structuredProperty:io.acryl.dataManagement.replicationSLA"), + 3456) + .build(); + + String token = ""; + RestEmitter emitter = RestEmitter.create(b -> b.server("http://localhost:8080").token(token)); + Future response = emitter.emit(mcp, null); + System.out.println(response.get().getResponseContent()); + + } catch (IOException | ExecutionException | InterruptedException e) { + System.out.println(Arrays.asList(e.getStackTrace())); + } + } + + @Test + @Ignore + public void testLocalFormInfoRemove() { + RestEmitter restEmitter = new RestEmitter(RestEmitterConfig.builder().build()); + try { + MetadataChangeProposal formInfoPatch = + new FormInfoPatchBuilder() + .urn(UrnUtils.getUrn("urn:li:form:123456")) + .removePrompts(List.of("1234", "abcd")) + .setName("Metadata Initiative 2024 (edited - again)") + .setDescription(null) + .removeAssignedUser("urn:li:corpuser:admin") + .removeAssignedGroup("urn:li:corpGroup:jdoe") + .build(); + Future response = restEmitter.emit(formInfoPatch); + + System.out.println(response.get().getResponseContent()); + + } catch (IOException | ExecutionException | InterruptedException e) { + System.out.println(Arrays.asList(e.getStackTrace())); + } + } } diff --git a/metadata-integration/java/datahub-event/src/main/resources/MetadataChangeProposal.avsc b/metadata-integration/java/datahub-event/src/main/resources/MetadataChangeProposal.avsc index 12ace42f3af273..126d5cf6bcee38 100644 --- a/metadata-integration/java/datahub-event/src/main/resources/MetadataChangeProposal.avsc +++ b/metadata-integration/java/datahub-event/src/main/resources/MetadataChangeProposal.avsc @@ -167,9 +167,22 @@ } ], "doc" : "Additional properties", "default" : null + }, { + "name" : "version", + "type" : [ "null", "string" ], + "doc" : "Aspect version\n Initial implementation will use the aspect version's number, however stored as\n a string in the case where a different aspect versioning scheme is later adopted.", + "default" : null } ] } ], - "doc" : "A string->string map of custom properties that one might want to attach to an event", + "doc" : "System properties that one might want to attach to an event", + "default" : null + }, { + "name" : "headers", + "type" : [ "null", { + "type" : "map", + "values" : "string" + } ], + "doc" : "Headers - intended to mimic http headers", "default" : null } ] } \ No newline at end of file diff --git a/metadata-integration/java/examples/src/main/java/io/datahubproject/examples/DatasetStructuredPropertiesUpdate.java b/metadata-integration/java/examples/src/main/java/io/datahubproject/examples/DatasetStructuredPropertiesUpdate.java new file mode 100644 index 00000000000000..c6c15d7a068eea --- /dev/null +++ b/metadata-integration/java/examples/src/main/java/io/datahubproject/examples/DatasetStructuredPropertiesUpdate.java @@ -0,0 +1,79 @@ +package io.datahubproject.examples; + +import com.linkedin.common.urn.UrnUtils; +import com.linkedin.metadata.aspect.patch.builder.StructuredPropertiesPatchBuilder; +import com.linkedin.mxe.MetadataChangeProposal; +import datahub.client.MetadataWriteResponse; +import datahub.client.rest.RestEmitter; +import java.io.IOException; +import java.util.ArrayList; +import java.util.List; +import java.util.concurrent.ExecutionException; +import java.util.concurrent.Future; + +public class DatasetStructuredPropertiesUpdate { + + private DatasetStructuredPropertiesUpdate() {} + + public static void main(String[] args) + throws IOException, ExecutionException, InterruptedException { + + // Adding a structured property with a single string value + MetadataChangeProposal mcp1 = + new StructuredPropertiesPatchBuilder() + .urn( + UrnUtils.getUrn( + "urn:li:dataset:(urn:li:dataPlatform:hive,SampleCypressHiveDataset,PROD)")) + .setStringProperty( + UrnUtils.getUrn("urn:li:structuredProperty:io.acryl.privacy.retentionTime"), "30") + .build(); + + String token = ""; + RestEmitter emitter = RestEmitter.create(b -> b.server("http://localhost:8080").token(token)); + Future response1 = emitter.emit(mcp1, null); + System.out.println(response1.get().getResponseContent()); + + // Adding a structured property with a list of string values + List values = new ArrayList<>(); + values.add("30"); + values.add("90"); + MetadataChangeProposal mcp2 = + new StructuredPropertiesPatchBuilder() + .urn( + UrnUtils.getUrn( + "urn:li:dataset:(urn:li:dataPlatform:hive,SampleCypressHiveDataset,PROD)")) + .setStringProperty( + UrnUtils.getUrn("urn:li:structuredProperty:io.acryl.privacy.retentionTime"), values) + .build(); + + Future response2 = emitter.emit(mcp2, null); + System.out.println(response2.get().getResponseContent()); + + // Adding a structured property with a single number value + MetadataChangeProposal mcp3 = + new StructuredPropertiesPatchBuilder() + .urn( + UrnUtils.getUrn( + "urn:li:dataset:(urn:li:dataPlatform:hive,SampleCypressHiveDataset,PROD)")) + .setNumberProperty( + UrnUtils.getUrn("urn:li:structuredProperty:io.acryl.dataManagement.replicationSLA"), + 3456) + .build(); + + Future response3 = emitter.emit(mcp3, null); + System.out.println(response3.get().getResponseContent()); + + // Removing a structured property from a dataset + MetadataChangeProposal mcp4 = + new StructuredPropertiesPatchBuilder() + .urn( + UrnUtils.getUrn( + "urn:li:dataset:(urn:li:dataPlatform:hive,SampleCypressHiveDataset,PROD)")) + .removeProperty( + UrnUtils.getUrn("urn:li:structuredProperty:io.acryl.dataManagement.replicationSLA")) + .build(); + + Future response4 = emitter.emit(mcp4, null); + System.out.println(response4.get().getResponseContent()); + } +} diff --git a/metadata-integration/java/examples/src/main/java/io/datahubproject/examples/FormCreate.java b/metadata-integration/java/examples/src/main/java/io/datahubproject/examples/FormCreate.java new file mode 100644 index 00000000000000..5451d431b3b994 --- /dev/null +++ b/metadata-integration/java/examples/src/main/java/io/datahubproject/examples/FormCreate.java @@ -0,0 +1,68 @@ +package io.datahubproject.examples; + +import com.linkedin.common.urn.UrnUtils; +import com.linkedin.form.FormActorAssignment; +import com.linkedin.form.FormInfo; +import com.linkedin.form.FormPrompt; +import com.linkedin.form.FormPromptArray; +import com.linkedin.form.FormPromptType; +import com.linkedin.form.FormType; +import com.linkedin.form.StructuredPropertyParams; +import datahub.client.MetadataWriteResponse; +import datahub.client.rest.RestEmitter; +import datahub.event.MetadataChangeProposalWrapper; +import java.io.IOException; +import java.util.concurrent.ExecutionException; +import java.util.concurrent.Future; + +public class FormCreate { + + private FormCreate() {} + + public static void main(String[] args) + throws IOException, ExecutionException, InterruptedException { + FormPromptArray prompts = new FormPromptArray(); + FormPrompt prompt1 = + new FormPrompt() + .setId("1") + .setTitle("First Prompt") + .setType(FormPromptType.STRUCTURED_PROPERTY) + .setRequired(true) + .setStructuredPropertyParams( + new StructuredPropertyParams() + .setUrn(UrnUtils.getUrn("urn:li:structuredProperty:property1"))); + FormPrompt prompt2 = + new FormPrompt() + .setId("2") + .setTitle("Second Prompt") + .setType(FormPromptType.FIELDS_STRUCTURED_PROPERTY) + .setRequired(false) + .setStructuredPropertyParams( + new StructuredPropertyParams() + .setUrn(UrnUtils.getUrn("urn:li:structuredProperty:property1"))); + prompts.add(prompt1); + prompts.add(prompt2); + + FormInfo formInfo = + new FormInfo() + .setName("Metadata Initiative 2024") + .setDescription("Please respond to this form for metadata compliance purposes.") + .setType(FormType.VERIFICATION) + .setPrompts(prompts) + .setActors(new FormActorAssignment().setOwners(true)); + + MetadataChangeProposalWrapper mcpw = + MetadataChangeProposalWrapper.builder() + .entityType("form") + .entityUrn("urn:li:form:metadata_initiative_1") + .upsert() + .aspect(formInfo) + .aspectName("formInfo") + .build(); + + String token = ""; + RestEmitter emitter = RestEmitter.create(b -> b.server("http://localhost:8080").token(token)); + Future response = emitter.emit(mcpw, null); + System.out.println(response.get().getResponseContent()); + } +} diff --git a/metadata-integration/java/examples/src/main/java/io/datahubproject/examples/FormUpdate.java b/metadata-integration/java/examples/src/main/java/io/datahubproject/examples/FormUpdate.java new file mode 100644 index 00000000000000..d986f8d403ef65 --- /dev/null +++ b/metadata-integration/java/examples/src/main/java/io/datahubproject/examples/FormUpdate.java @@ -0,0 +1,57 @@ +package io.datahubproject.examples; + +import com.linkedin.common.urn.Urn; +import com.linkedin.common.urn.UrnUtils; +import com.linkedin.form.FormPrompt; +import com.linkedin.form.FormPromptType; +import com.linkedin.form.StructuredPropertyParams; +import com.linkedin.metadata.aspect.patch.builder.FormInfoPatchBuilder; +import com.linkedin.mxe.MetadataChangeProposal; +import datahub.client.MetadataWriteResponse; +import datahub.client.rest.RestEmitter; +import java.io.IOException; +import java.util.List; +import java.util.concurrent.ExecutionException; +import java.util.concurrent.Future; + +public class FormUpdate { + + private FormUpdate() {} + + public static void main(String[] args) + throws IOException, ExecutionException, InterruptedException { + FormPrompt newPrompt = + new FormPrompt() + .setId("1234") + .setTitle("First Prompt") + .setType(FormPromptType.STRUCTURED_PROPERTY) + .setRequired(true) + .setStructuredPropertyParams( + new StructuredPropertyParams() + .setUrn(UrnUtils.getUrn("urn:li:structuredProperty:property1"))); + FormPrompt newPrompt2 = + new FormPrompt() + .setId("abcd") + .setTitle("Second Prompt") + .setType(FormPromptType.FIELDS_STRUCTURED_PROPERTY) + .setRequired(false) + .setStructuredPropertyParams( + new StructuredPropertyParams() + .setUrn(UrnUtils.getUrn("urn:li:structuredProperty:property1"))); + + Urn formUrn = UrnUtils.getUrn("urn:li:form:metadata_initiative_1"); + FormInfoPatchBuilder formInfoPatchBuilder = + new FormInfoPatchBuilder() + .urn(formUrn) + .addPrompts(List.of(newPrompt, newPrompt2)) + .setName("Metadata Initiative 2024 (edited)") + .setDescription("Edited description") + .setOwnershipForm(true); + MetadataChangeProposal mcp = formInfoPatchBuilder.build(); + + String token = ""; + RestEmitter emitter = RestEmitter.create(b -> b.server("http://localhost:8080").token(token)); + Future response = emitter.emit(mcp, null); + System.out.println(response.get().getResponseContent()); + } +} diff --git a/metadata-integration/java/examples/src/main/java/io/datahubproject/examples/StructuredPropertyUpsert.java b/metadata-integration/java/examples/src/main/java/io/datahubproject/examples/StructuredPropertyUpsert.java new file mode 100644 index 00000000000000..6d6bd232bf0bcb --- /dev/null +++ b/metadata-integration/java/examples/src/main/java/io/datahubproject/examples/StructuredPropertyUpsert.java @@ -0,0 +1,102 @@ +package io.datahubproject.examples; + +import com.linkedin.common.urn.UrnUtils; +import com.linkedin.data.template.StringArray; +import com.linkedin.data.template.StringArrayMap; +import com.linkedin.metadata.aspect.patch.builder.StructuredPropertyDefinitionPatchBuilder; +import com.linkedin.mxe.MetadataChangeProposal; +import com.linkedin.structured.PrimitivePropertyValue; +import com.linkedin.structured.PropertyCardinality; +import com.linkedin.structured.PropertyValue; +import datahub.client.MetadataWriteResponse; +import datahub.client.rest.RestEmitter; +import java.io.IOException; +import java.util.concurrent.ExecutionException; +import java.util.concurrent.Future; + +public class StructuredPropertyUpsert { + + private StructuredPropertyUpsert() {} + + public static void main(String[] args) + throws IOException, ExecutionException, InterruptedException { + // open ended string structured property on datasets and dataFlows + MetadataChangeProposal mcp1 = + new StructuredPropertyDefinitionPatchBuilder() + .urn( + UrnUtils.getUrn( + "urn:li:structuredProperty:testString")) // use existing urn for update, new urn + // for new property + .setQualifiedName("io.acryl.testString") + .setDisplayName("Open Ended String") + .setValueType("urn:li:dataType:datahub.string") + .setCardinality(PropertyCardinality.SINGLE) + .addEntityType("urn:li:entityType:datahub.dataset") + .addEntityType("urn:li:entityType:datahub.dataFlow") + .setDescription("test description for open ended string") + .setImmutable(true) + .build(); + + String token = ""; + RestEmitter emitter = RestEmitter.create(b -> b.server("http://localhost:8080").token(token)); + Future response1 = emitter.emit(mcp1, null); + System.out.println(response1.get().getResponseContent()); + + // Next, let's make a property that allows for multiple datahub entity urns as values + // This example property could be used to reference other users or groups in datahub + StringArrayMap typeQualifier = new StringArrayMap(); + typeQualifier.put( + "allowedTypes", + new StringArray( + "urn:li:entityType:datahub.corpuser", "urn:li:entityType:datahub.corpGroup")); + + MetadataChangeProposal mcp2 = + new StructuredPropertyDefinitionPatchBuilder() + .urn(UrnUtils.getUrn("urn:li:structuredProperty:dataSteward")) + .setQualifiedName("io.acryl.dataManagement.dataSteward") + .setDisplayName("Data Steward") + .setValueType("urn:li:dataType:datahub.urn") + .setTypeQualifier(typeQualifier) + .setCardinality(PropertyCardinality.MULTIPLE) + .addEntityType("urn:li:entityType:datahub.dataset") + .setDescription( + "The data stewards of this asset are in charge of ensuring data cleanliness and governance") + .setImmutable(true) + .build(); + + Future response2 = emitter.emit(mcp2, null); + System.out.println(response2.get().getResponseContent()); + + // Finally, let's make a single select number property with a few allowed options + PropertyValue propertyValue1 = new PropertyValue(); + PrimitivePropertyValue value1 = new PrimitivePropertyValue(); + value1.setDouble(30.0); + propertyValue1.setDescription( + "30 days, usually reserved for datasets that are ephemeral and contain pii"); + propertyValue1.setValue(value1); + PropertyValue propertyValue2 = new PropertyValue(); + PrimitivePropertyValue value2 = new PrimitivePropertyValue(); + value2.setDouble(90.0); + propertyValue2.setDescription( + "Use this for datasets that drive monthly reporting but contain pii"); + propertyValue2.setValue(value2); + + MetadataChangeProposal mcp3 = + new StructuredPropertyDefinitionPatchBuilder() + .urn(UrnUtils.getUrn("urn:li:structuredProperty:replicationSLA")) + .setQualifiedName("io.acryl.dataManagement.replicationSLA") + .setDisplayName("Replication SLA") + .setValueType("urn:li:dataType:datahub.string") + .addAllowedValue(propertyValue1) + .addAllowedValue(propertyValue2) + .setCardinality(PropertyCardinality.SINGLE) + .addEntityType("urn:li:entityType:datahub.dataset") + .setDescription( + "SLA for how long data can be delayed before replicating to the destination cluster") + .setImmutable(false) + .build(); + + Future response3 = emitter.emit(mcp3, null); + System.out.println(response3.get().getResponseContent()); + } +} diff --git a/metadata-integration/java/openlineage-converter/build.gradle b/metadata-integration/java/openlineage-converter/build.gradle index 4fb35f6b3c563c..145a88229ad4af 100644 --- a/metadata-integration/java/openlineage-converter/build.gradle +++ b/metadata-integration/java/openlineage-converter/build.gradle @@ -24,9 +24,7 @@ dependencies { implementation externalDependency.json - testImplementation externalDependency.junit - // Use JUnit Jupiter for testing. - testImplementation 'org.junit.jupiter:junit-jupiter:5.9.2' + testImplementation externalDependency.testng } jacocoTestReport { diff --git a/metadata-integration/java/openlineage-converter/src/main/java/io/datahubproject/openlineage/config/DatahubOpenlineageConfig.java b/metadata-integration/java/openlineage-converter/src/main/java/io/datahubproject/openlineage/config/DatahubOpenlineageConfig.java index 71a18c8f9eff1d..5abb3c90d232bd 100644 --- a/metadata-integration/java/openlineage-converter/src/main/java/io/datahubproject/openlineage/config/DatahubOpenlineageConfig.java +++ b/metadata-integration/java/openlineage-converter/src/main/java/io/datahubproject/openlineage/config/DatahubOpenlineageConfig.java @@ -33,6 +33,7 @@ public class DatahubOpenlineageConfig { @Builder.Default private String hivePlatformAlias = "hive"; @Builder.Default private Map urnAliases = new HashMap<>(); @Builder.Default private final boolean disableSymlinkResolution = false; + @Builder.Default private final boolean lowerCaseDatasetUrns = false; public List getPathSpecsForPlatform(String platform) { if ((pathSpecs == null) || (pathSpecs.isEmpty())) { diff --git a/metadata-integration/java/openlineage-converter/src/main/java/io/datahubproject/openlineage/converter/OpenLineageToDataHub.java b/metadata-integration/java/openlineage-converter/src/main/java/io/datahubproject/openlineage/converter/OpenLineageToDataHub.java index d1df27c3ffd116..1568451beff104 100644 --- a/metadata-integration/java/openlineage-converter/src/main/java/io/datahubproject/openlineage/converter/OpenLineageToDataHub.java +++ b/metadata-integration/java/openlineage-converter/src/main/java/io/datahubproject/openlineage/converter/OpenLineageToDataHub.java @@ -4,6 +4,7 @@ import com.linkedin.common.DataPlatformInstance; import com.linkedin.common.Edge; import com.linkedin.common.EdgeArray; +import com.linkedin.common.FabricType; import com.linkedin.common.GlobalTags; import com.linkedin.common.Owner; import com.linkedin.common.OwnerArray; @@ -57,6 +58,8 @@ import io.datahubproject.openlineage.dataset.DatahubJob; import io.datahubproject.openlineage.dataset.HdfsPathDataset; import io.datahubproject.openlineage.dataset.HdfsPlatform; +import io.datahubproject.openlineage.dataset.PathSpec; +import io.datahubproject.openlineage.utils.DatahubUtils; import io.openlineage.client.OpenLineage; import io.openlineage.client.OpenLineageClientUtils; import java.io.IOException; @@ -151,6 +154,11 @@ public static Optional convertOpenlineageDatasetToDatasetUrn( private static Optional getDatasetUrnFromOlDataset( String namespace, String datasetName, DatahubOpenlineageConfig mappingConfig) { String platform; + if (mappingConfig.isLowerCaseDatasetUrns()) { + namespace = namespace.toLowerCase(); + datasetName = datasetName.toLowerCase(); + } + if (namespace.contains(SCHEME_SEPARATOR)) { try { URI datasetUri; @@ -183,12 +191,45 @@ private static Optional getDatasetUrnFromOlDataset( platform = namespace; } - if (mappingConfig.getCommonDatasetPlatformInstance() != null) { - datasetName = mappingConfig.getCommonDatasetPlatformInstance() + "." + datasetName; + String platformInstance = getPlatformInstance(mappingConfig, platform); + FabricType env = getEnv(mappingConfig, platform); + return Optional.of(DatahubUtils.createDatasetUrn(platform, platformInstance, datasetName, env)); + } + + private static FabricType getEnv(DatahubOpenlineageConfig mappingConfig, String platform) { + FabricType fabricType = mappingConfig.getFabricType(); + if (mappingConfig.getPathSpecs() != null + && mappingConfig.getPathSpecs().containsKey(platform)) { + List path_specs = mappingConfig.getPathSpecs().get(platform); + for (PathSpec pathSpec : path_specs) { + if (pathSpec.getEnv().isPresent()) { + try { + fabricType = FabricType.valueOf(pathSpec.getEnv().get()); + return fabricType; + } catch (IllegalArgumentException e) { + log.warn("Invalid environment value: {}", pathSpec.getEnv()); + } + } + } } + return fabricType; + } - return Optional.of( - new DatasetUrn(new DataPlatformUrn(platform), datasetName, mappingConfig.getFabricType())); + private static String getPlatformInstance( + DatahubOpenlineageConfig mappingConfig, String platform) { + // Use the platform instance from the path spec if it is present otherwise use the one from the + // commonDatasetPlatformInstance + String platformInstance = mappingConfig.getCommonDatasetPlatformInstance(); + if (mappingConfig.getPathSpecs() != null + && mappingConfig.getPathSpecs().containsKey(platform)) { + List path_specs = mappingConfig.getPathSpecs().get(platform); + for (PathSpec pathSpec : path_specs) { + if (pathSpec.getPlatformInstance().isPresent()) { + return pathSpec.getPlatformInstance().get(); + } + } + } + return platformInstance; } public static GlobalTags generateTags(List tags) { diff --git a/metadata-integration/java/openlineage-converter/src/main/java/io/datahubproject/openlineage/dataset/DatahubJob.java b/metadata-integration/java/openlineage-converter/src/main/java/io/datahubproject/openlineage/dataset/DatahubJob.java index 85eaeb445d7bda..60caaae359677f 100644 --- a/metadata-integration/java/openlineage-converter/src/main/java/io/datahubproject/openlineage/dataset/DatahubJob.java +++ b/metadata-integration/java/openlineage-converter/src/main/java/io/datahubproject/openlineage/dataset/DatahubJob.java @@ -280,11 +280,11 @@ private Pair processDownstreams( for (Urn downstream : Objects.requireNonNull(fineGrainedLineage.getDownstreams())) { upstreamLineagePatchBuilder.addFineGrainedUpstreamField( - downstream, + upstream, fineGrainedLineage.getConfidenceScore(), StringUtils.defaultIfEmpty( fineGrainedLineage.getTransformOperation(), "TRANSFORM"), - upstream, + downstream, null); } } diff --git a/metadata-integration/java/openlineage-converter/src/main/java/io/datahubproject/openlineage/dataset/PathSpec.java b/metadata-integration/java/openlineage-converter/src/main/java/io/datahubproject/openlineage/dataset/PathSpec.java index 1a015cabc46cc5..b73b1763216036 100644 --- a/metadata-integration/java/openlineage-converter/src/main/java/io/datahubproject/openlineage/dataset/PathSpec.java +++ b/metadata-integration/java/openlineage-converter/src/main/java/io/datahubproject/openlineage/dataset/PathSpec.java @@ -14,7 +14,7 @@ public class PathSpec { final String alias; final String platform; - @Builder.Default final String env = "PROD"; + @Builder.Default final Optional env = Optional.empty(); final List pathSpecList; @Builder.Default final Optional platformInstance = Optional.empty(); } diff --git a/metadata-integration/java/openlineage-converter/src/test/java/io/datahubproject/openlineage/HdfsPathDatasetTest.java b/metadata-integration/java/openlineage-converter/src/test/java/io/datahubproject/openlineage/HdfsPathDatasetTest.java index 3693ddc15e6f06..82ba172f841918 100644 --- a/metadata-integration/java/openlineage-converter/src/test/java/io/datahubproject/openlineage/HdfsPathDatasetTest.java +++ b/metadata-integration/java/openlineage-converter/src/test/java/io/datahubproject/openlineage/HdfsPathDatasetTest.java @@ -13,8 +13,8 @@ import java.util.LinkedList; import java.util.List; import java.util.Optional; -import org.junit.Assert; -import org.junit.Test; +import org.testng.Assert; +import org.testng.annotations.Test; public class HdfsPathDatasetTest { @@ -42,7 +42,7 @@ public void testPathSpecList() "s3", Collections.singletonList( PathSpec.builder() - .env("PROD") + .env(Optional.of("PROD")) .platform("s3") .pathSpecList( new LinkedList<>( @@ -89,7 +89,7 @@ public void testNoMatchPathSpecList() "s3", Collections.singletonList( PathSpec.builder() - .env("PROD") + .env(Optional.of("PROD")) .platform("s3") .pathSpecList( new LinkedList<>( @@ -121,7 +121,7 @@ public void testPathSpecListPlatformInstance() "s3", Collections.singletonList( PathSpec.builder() - .env("PROD") + .env(Optional.of("PROD")) .platform("s3") .pathSpecList( new LinkedList<>( @@ -154,7 +154,7 @@ public void testPathSpecListPathSpecPlatformInstance() "s3", Collections.singletonList( PathSpec.builder() - .env("PROD") + .env(Optional.of("PROD")) .platform("s3") .platformInstance(Optional.of("s3Instance")) .pathSpecList( @@ -187,7 +187,7 @@ public void testPathAliasList() "s3", Collections.singletonList( PathSpec.builder() - .env("PROD") + .env(Optional.of("PROD")) .platform("s3") .pathSpecList( new LinkedList<>( @@ -219,7 +219,7 @@ public void testGcsNoPathSpecList() "s3", Collections.singletonList( PathSpec.builder() - .env("PROD") + .env(Optional.of("PROD")) .platform("gcs") .pathSpecList( new LinkedList<>( @@ -249,7 +249,7 @@ public void testGcsPathSpecList() "s3", Collections.singletonList( PathSpec.builder() - .env("PROD") + .env(Optional.of("PROD")) .platform("gcs") .pathSpecList( new LinkedList<>( diff --git a/metadata-integration/java/spark-lineage-beta/README.md b/metadata-integration/java/spark-lineage-beta/README.md index a4d90b25c27bf4..a643919664b079 100644 --- a/metadata-integration/java/spark-lineage-beta/README.md +++ b/metadata-integration/java/spark-lineage-beta/README.md @@ -24,7 +24,7 @@ When running jobs using spark-submit, the agent needs to be configured in the co ```text #Configuring DataHub spark agent jar -spark.jars.packages io.acryl:acryl-spark-lineage:0.2.11 +spark.jars.packages io.acryl:acryl-spark-lineage:0.2.13 spark.extraListeners datahub.spark.DatahubSparkListener spark.datahub.rest.server http://localhost:8080 ``` @@ -32,7 +32,7 @@ spark.datahub.rest.server http://localhost:8080 ## spark-submit command line ```sh -spark-submit --packages io.acryl:acryl-spark-lineage:0.2.11 --conf "spark.extraListeners=datahub.spark.DatahubSparkListener" my_spark_job_to_run.py +spark-submit --packages io.acryl:acryl-spark-lineage:0.2.13 --conf "spark.extraListeners=datahub.spark.DatahubSparkListener" my_spark_job_to_run.py ``` ### Configuration Instructions: Amazon EMR @@ -41,7 +41,7 @@ Set the following spark-defaults configuration properties as it stated [here](https://docs.aws.amazon.com/emr/latest/ReleaseGuide/emr-spark-configure.html) ```text -spark.jars.packages io.acryl:acryl-spark-lineage:0.2.11 +spark.jars.packages io.acryl:acryl-spark-lineage:0.2.13 spark.extraListeners datahub.spark.DatahubSparkListener spark.datahub.rest.server https://your_datahub_host/gms #If you have authentication set up then you also need to specify the Datahub access token @@ -56,7 +56,7 @@ When running interactive jobs from a notebook, the listener can be configured wh spark = SparkSession.builder .master("spark://spark-master:7077") .appName("test-application") -.config("spark.jars.packages", "io.acryl:acryl-spark-lineage:0.2.11") +.config("spark.jars.packages", "io.acryl:acryl-spark-lineage:0.2.13") .config("spark.extraListeners", "datahub.spark.DatahubSparkListener") .config("spark.datahub.rest.server", "http://localhost:8080") .enableHiveSupport() @@ -79,7 +79,7 @@ appName("test-application") config("spark.master","spark://spark-master:7077") . -config("spark.jars.packages","io.acryl:acryl-spark-lineage:0.2.11") +config("spark.jars.packages","io.acryl:acryl-spark-lineage:0.2.13") . config("spark.extraListeners","datahub.spark.DatahubSparkListener") @@ -159,7 +159,7 @@ information like tokens. | Field | Required | Default | Description | |---------------------------------------------------------------------|----------|---------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| -| spark.jars.packages | ✅ | | Set with latest/required version io.acryl:datahub-spark-lineage:0.8.23 | +| spark.jars.packages | ✅ | | Set with latest/required version io.acryl:acryl-spark-lineage:0.2.13 | | spark.extraListeners | ✅ | | datahub.spark.DatahubSparkListener | | spark.datahub.rest.server | ✅ | | Datahub server url eg: | | spark.datahub.rest.token | | | Authentication token. | @@ -181,9 +181,10 @@ information like tokens. | spark.datahub.partition_regexp_pattern | | | Strip partition part from the path if path end matches with the specified regexp. Example `year=.*/month=.*/day=.*` | | spark.datahub.tags | | | Comma separated list of tags to attach to the DataFlow | | spark.datahub.domains | | | Comma separated list of domain urns to attach to the DataFlow | -| spark.datahub.stage_metadata_coalescing | | | Normally it coalesce and send metadata at the onApplicationEnd event which is never called on Databricks or on Glue. You should enable this on Databricks if you want coalesced run . | -| spark.datahub.patch.enabled | | false | Set this to true to send lineage as a patch, which appends rather than overwrites existing Dataset lineage edges. By default it is enabled. | -| +| spark.datahub.stage_metadata_coalescing | | | Normally it coalesces and sends metadata at the onApplicationEnd event which is never called on Databricks or on Glue. You should enable this on Databricks if you want coalesced run. | +| spark.datahub.patch.enabled | | false | Set this to true to send lineage as a patch, which appends rather than overwrites existing Dataset lineage edges. By default, it is disabled. | +| spark.datahub.metadata.dataset.lowerCaseUrns | | false | Set this to true to lowercase dataset urns. By default, it is disabled. | +| spark.datahub.disableSymlinkResolution | | false | Set this to true if you prefer using the s3 location instead of the Hive table. By default, it is disabled. | ## What to Expect: The Metadata Model @@ -343,3 +344,15 @@ Use Java 8 to build the project. The project uses Gradle as the build tool. To b ``` ## Known limitations ++ +## Changelog + +### Version 0.2.12 +- Silencing some chatty warnings in RddPathUtils + +### Version 0.2.12 + +- Add option to lowercase dataset URNs +- Add option to set platform instance and/or env per platform with `spark.datahub.platform..env` and `spark.datahub.platform..platform_instance` config parameter +- Fixing platform instance setting for datasets when `spark.datahub.metadata.dataset.platformInstance` is set +- Fixing column level lineage support when patch is enabled diff --git a/metadata-integration/java/spark-lineage-beta/src/main/java/datahub/spark/conf/SparkConfigParser.java b/metadata-integration/java/spark-lineage-beta/src/main/java/datahub/spark/conf/SparkConfigParser.java index f9dd6c127e1b98..c854861af2f81d 100644 --- a/metadata-integration/java/spark-lineage-beta/src/main/java/datahub/spark/conf/SparkConfigParser.java +++ b/metadata-integration/java/spark-lineage-beta/src/main/java/datahub/spark/conf/SparkConfigParser.java @@ -42,6 +42,8 @@ public class SparkConfigParser { public static final String DATAHUB_FLOW_NAME = "flow_name"; public static final String DATASET_ENV_KEY = "metadata.dataset.env"; public static final String DATASET_HIVE_PLATFORM_ALIAS = "metadata.dataset.hivePlatformAlias"; + public static final String DATASET_LOWERCASE_URNS = "metadata.dataset.lowerCaseUrns"; + public static final String DATASET_MATERIALIZE_KEY = "metadata.dataset.materialize"; public static final String DATASET_PLATFORM_INSTANCE_KEY = "metadata.dataset.platformInstance"; public static final String DATASET_INCLUDE_SCHEMA_METADATA = @@ -152,6 +154,7 @@ public static DatahubOpenlineageConfig sparkConfigToDatahubOpenlineageConf( builder.hivePlatformAlias(SparkConfigParser.getHivePlatformAlias(sparkConfig)); builder.usePatch(SparkConfigParser.isPatchEnabled(sparkConfig)); builder.disableSymlinkResolution(SparkConfigParser.isDisableSymlinkResolution(sparkConfig)); + builder.lowerCaseDatasetUrns(SparkConfigParser.isLowerCaseDatasetUrns(sparkConfig)); try { String parentJob = SparkConfigParser.getParentJobKey(sparkConfig); if (parentJob != null) { @@ -246,15 +249,18 @@ public static Map> getPathSpecListMap(Config datahubConfi pathSpecBuilder.alias(pathSpecKey); pathSpecBuilder.platform(key); if (datahubConfig.hasPath(aliasKey + ".env")) { - pathSpecBuilder.env(datahubConfig.getString(aliasKey + ".env")); + pathSpecBuilder.env(Optional.ofNullable(datahubConfig.getString(aliasKey + ".env"))); } - if (datahubConfig.hasPath(aliasKey + ".platformInstance")) { + if (datahubConfig.hasPath(aliasKey + "." + PLATFORM_INSTANCE_KEY)) { pathSpecBuilder.platformInstance( - Optional.ofNullable(datahubConfig.getString(aliasKey + ".platformInstance"))); + Optional.ofNullable( + datahubConfig.getString(aliasKey + "." + PLATFORM_INSTANCE_KEY))); + } + if (datahubConfig.hasPath(aliasKey + "." + PATH_SPEC_LIST_KEY)) { + pathSpecBuilder.pathSpecList( + Arrays.asList( + datahubConfig.getString(aliasKey + "." + PATH_SPEC_LIST_KEY).split(","))); } - pathSpecBuilder.pathSpecList( - Arrays.asList(datahubConfig.getString(aliasKey + "." + pathSpecKey).split(","))); - platformSpecs.add(pathSpecBuilder.build()); } pathSpecMap.put(key, platformSpecs); @@ -264,8 +270,8 @@ public static Map> getPathSpecListMap(Config datahubConfi } public static String getPlatformInstance(Config pathSpecConfig) { - return pathSpecConfig.hasPath(PLATFORM_INSTANCE_KEY) - ? pathSpecConfig.getString(PLATFORM_INSTANCE_KEY) + return pathSpecConfig.hasPath(PIPELINE_PLATFORM_INSTANCE_KEY) + ? pathSpecConfig.getString(PIPELINE_PLATFORM_INSTANCE_KEY) : null; } @@ -341,4 +347,9 @@ public static boolean isEmitCoalescePeriodically(Config datahubConfig) { return datahubConfig.hasPath(STAGE_METADATA_COALESCING) && datahubConfig.getBoolean(STAGE_METADATA_COALESCING); } + + public static boolean isLowerCaseDatasetUrns(Config datahubConfig) { + return datahubConfig.hasPath(DATASET_LOWERCASE_URNS) + && datahubConfig.getBoolean(DATASET_LOWERCASE_URNS); + } } diff --git a/metadata-integration/java/spark-lineage-beta/src/main/java/io/openlineage/spark/agent/util/RddPathUtils.java b/metadata-integration/java/spark-lineage-beta/src/main/java/io/openlineage/spark/agent/util/RddPathUtils.java new file mode 100644 index 00000000000000..62005bf15f8505 --- /dev/null +++ b/metadata-integration/java/spark-lineage-beta/src/main/java/io/openlineage/spark/agent/util/RddPathUtils.java @@ -0,0 +1,162 @@ +/* +/* Copyright 2018-2024 contributors to the OpenLineage project +/* SPDX-License-Identifier: Apache-2.0 +*/ + +package io.openlineage.spark.agent.util; + +import java.util.Arrays; +import java.util.Objects; +import java.util.stream.Stream; +import lombok.extern.slf4j.Slf4j; +import org.apache.commons.lang3.reflect.FieldUtils; +import org.apache.hadoop.conf.Configuration; +import org.apache.hadoop.fs.Path; +import org.apache.hadoop.mapred.FileInputFormat; +import org.apache.spark.package$; +import org.apache.spark.rdd.HadoopRDD; +import org.apache.spark.rdd.MapPartitionsRDD; +import org.apache.spark.rdd.ParallelCollectionRDD; +import org.apache.spark.rdd.RDD; +import org.apache.spark.sql.execution.datasources.FileScanRDD; +import scala.Tuple2; +import scala.collection.immutable.Seq; + +/** Utility class to extract paths from RDD nodes. */ +@Slf4j +public class RddPathUtils { + + public static Stream findRDDPaths(RDD rdd) { + return Stream.of( + new HadoopRDDExtractor(), + new FileScanRDDExtractor(), + new MapPartitionsRDDExtractor(), + new ParallelCollectionRDDExtractor()) + .filter(e -> e.isDefinedAt(rdd)) + .findFirst() + .orElse(new UnknownRDDExtractor()) + .extract(rdd) + .filter(p -> p != null); + } + + static class UnknownRDDExtractor implements RddPathExtractor { + @Override + public boolean isDefinedAt(Object rdd) { + return true; + } + + @Override + public Stream extract(RDD rdd) { + // Change to debug to silence error + log.debug("Unknown RDD class {}", rdd); + return Stream.empty(); + } + } + + static class HadoopRDDExtractor implements RddPathExtractor { + @Override + public boolean isDefinedAt(Object rdd) { + return rdd instanceof HadoopRDD; + } + + @Override + public Stream extract(HadoopRDD rdd) { + org.apache.hadoop.fs.Path[] inputPaths = FileInputFormat.getInputPaths(rdd.getJobConf()); + Configuration hadoopConf = rdd.getConf(); + return Arrays.stream(inputPaths).map(p -> PlanUtils.getDirectoryPath(p, hadoopConf)); + } + } + + static class MapPartitionsRDDExtractor implements RddPathExtractor { + + @Override + public boolean isDefinedAt(Object rdd) { + return rdd instanceof MapPartitionsRDD; + } + + @Override + public Stream extract(MapPartitionsRDD rdd) { + return findRDDPaths(rdd.prev()); + } + } + + static class FileScanRDDExtractor implements RddPathExtractor { + @Override + public boolean isDefinedAt(Object rdd) { + return rdd instanceof FileScanRDD; + } + + @Override + @SuppressWarnings("PMD.AvoidLiteralsInIfCondition") + public Stream extract(FileScanRDD rdd) { + return ScalaConversionUtils.fromSeq(rdd.filePartitions()).stream() + .flatMap(fp -> Arrays.stream(fp.files())) + .map( + f -> { + if ("3.4".compareTo(package$.MODULE$.SPARK_VERSION()) <= 0) { + // filePath returns SparkPath for Spark 3.4 + return ReflectionUtils.tryExecuteMethod(f, "filePath") + .map(o -> ReflectionUtils.tryExecuteMethod(o, "toPath")) + .map(o -> (Path) o.get()) + .get() + .getParent(); + } else { + return parentOf(f.filePath()); + } + }); + } + } + + static class ParallelCollectionRDDExtractor implements RddPathExtractor { + @Override + public boolean isDefinedAt(Object rdd) { + return rdd instanceof ParallelCollectionRDD; + } + + @Override + public Stream extract(ParallelCollectionRDD rdd) { + try { + Object data = FieldUtils.readField(rdd, "data", true); + log.debug("ParallelCollectionRDD data: {}", data); + if (data instanceof Seq) { + return ScalaConversionUtils.fromSeq((Seq) data).stream() + .map( + el -> { + Path path = null; + if (el instanceof Tuple2) { + // we're able to extract path + path = parentOf(((Tuple2) el)._1.toString()); + log.debug("Found input {}", path); + } else { + // Change to debug to silence error + log.debug("unable to extract Path from {}", el.getClass().getCanonicalName()); + } + return path; + }) + .filter(Objects::nonNull); + } else { + // Changed to debug to silence error + log.debug("Cannot extract path from ParallelCollectionRDD {}", data); + } + } catch (IllegalAccessException | IllegalArgumentException e) { + // Changed to debug to silence error + log.debug("Cannot read data field from ParallelCollectionRDD {}", rdd); + } + return Stream.empty(); + } + } + + private static Path parentOf(String path) { + try { + return new Path(path).getParent(); + } catch (Exception e) { + return null; + } + } + + interface RddPathExtractor { + boolean isDefinedAt(Object rdd); + + Stream extract(T rdd); + } +} diff --git a/metadata-integration/java/spark-lineage-beta/src/test/java/datahub/spark/OpenLineageEventToDatahubTest.java b/metadata-integration/java/spark-lineage-beta/src/test/java/datahub/spark/OpenLineageEventToDatahubTest.java index 82fa0655a93e0c..b42c87618d2b62 100644 --- a/metadata-integration/java/spark-lineage-beta/src/test/java/datahub/spark/OpenLineageEventToDatahubTest.java +++ b/metadata-integration/java/spark-lineage-beta/src/test/java/datahub/spark/OpenLineageEventToDatahubTest.java @@ -13,12 +13,14 @@ import io.datahubproject.openlineage.converter.OpenLineageToDataHub; import io.datahubproject.openlineage.dataset.DatahubDataset; import io.datahubproject.openlineage.dataset.DatahubJob; +import io.datahubproject.openlineage.dataset.PathSpec; import io.openlineage.client.OpenLineage; import io.openlineage.client.OpenLineageClientUtils; import java.io.IOException; import java.net.URISyntaxException; import java.nio.charset.StandardCharsets; import java.util.HashMap; +import java.util.List; import java.util.Optional; import java.util.stream.Stream; import junit.framework.TestCase; @@ -598,4 +600,158 @@ public void testProcessRedshiftOutput() throws URISyntaxException, IOException { dataset.getSchemaMetadata().getPlatform().toString(), "urn:li:dataPlatform:redshift"); } } + + public void testProcessRedshiftOutputWithPlatformInstance() + throws URISyntaxException, IOException { + DatahubOpenlineageConfig.DatahubOpenlineageConfigBuilder builder = + DatahubOpenlineageConfig.builder(); + builder.fabricType(FabricType.DEV); + builder.hivePlatformAlias("glue"); + builder.materializeDataset(true); + builder.includeSchemaMetadata(true); + builder.commonDatasetPlatformInstance("my-platform-instance"); + + String olEvent = + IOUtils.toString( + this.getClass().getResourceAsStream("/ol_events/redshift_lineage_spark.json"), + StandardCharsets.UTF_8); + + OpenLineage.RunEvent runEvent = OpenLineageClientUtils.runEventFromJson(olEvent); + DatahubJob datahubJob = OpenLineageToDataHub.convertRunEventToJob(runEvent, builder.build()); + + assertNotNull(datahubJob); + + for (DatahubDataset dataset : datahubJob.getInSet()) { + assertEquals( + "urn:li:dataset:(urn:li:dataPlatform:mysql,my-platform-instance.datahub.metadata_aspect_v2,DEV)", + dataset.getUrn().toString()); + } + for (DatahubDataset dataset : datahubJob.getOutSet()) { + assertEquals( + "urn:li:dataset:(urn:li:dataPlatform:redshift,my-platform-instance.dev.public.spark_redshift_load_test,DEV)", + dataset.getUrn().toString()); + assertEquals( + dataset.getSchemaMetadata().getPlatform().toString(), "urn:li:dataPlatform:redshift"); + } + } + + public void testProcessRedshiftOutputWithPlatformSpecificPlatformInstance() + throws URISyntaxException, IOException { + DatahubOpenlineageConfig.DatahubOpenlineageConfigBuilder builder = + DatahubOpenlineageConfig.builder(); + builder.fabricType(FabricType.DEV); + builder.hivePlatformAlias("glue"); + builder.materializeDataset(true); + builder.includeSchemaMetadata(true); + builder.pathSpecs( + new HashMap>() { + { + put( + "redshift", + List.of( + PathSpec.builder() + .platform("redshift") + .platformInstance(Optional.of("my-platform-instance")) + .build())); + } + }); + + String olEvent = + IOUtils.toString( + this.getClass().getResourceAsStream("/ol_events/redshift_lineage_spark.json"), + StandardCharsets.UTF_8); + + OpenLineage.RunEvent runEvent = OpenLineageClientUtils.runEventFromJson(olEvent); + DatahubJob datahubJob = OpenLineageToDataHub.convertRunEventToJob(runEvent, builder.build()); + + assertNotNull(datahubJob); + + for (DatahubDataset dataset : datahubJob.getInSet()) { + assertEquals( + "urn:li:dataset:(urn:li:dataPlatform:mysql,datahub.metadata_aspect_v2,DEV)", + dataset.getUrn().toString()); + } + for (DatahubDataset dataset : datahubJob.getOutSet()) { + assertEquals( + "urn:li:dataset:(urn:li:dataPlatform:redshift,my-platform-instance.dev.public.spark_redshift_load_test,DEV)", + dataset.getUrn().toString()); + assertEquals( + dataset.getSchemaMetadata().getPlatform().toString(), "urn:li:dataPlatform:redshift"); + } + } + + public void testProcessRedshiftOutputWithPlatformSpecificEnv() + throws URISyntaxException, IOException { + DatahubOpenlineageConfig.DatahubOpenlineageConfigBuilder builder = + DatahubOpenlineageConfig.builder(); + builder.fabricType(FabricType.DEV); + builder.hivePlatformAlias("glue"); + builder.materializeDataset(true); + builder.includeSchemaMetadata(true); + builder.pathSpecs( + new HashMap>() { + { + put( + "redshift", + List.of(PathSpec.builder().platform("redshift").env(Optional.of("PROD")).build())); + } + }); + + String olEvent = + IOUtils.toString( + this.getClass().getResourceAsStream("/ol_events/redshift_lineage_spark.json"), + StandardCharsets.UTF_8); + + OpenLineage.RunEvent runEvent = OpenLineageClientUtils.runEventFromJson(olEvent); + DatahubJob datahubJob = OpenLineageToDataHub.convertRunEventToJob(runEvent, builder.build()); + + assertNotNull(datahubJob); + + for (DatahubDataset dataset : datahubJob.getInSet()) { + assertEquals( + "urn:li:dataset:(urn:li:dataPlatform:mysql,datahub.metadata_aspect_v2,DEV)", + dataset.getUrn().toString()); + } + for (DatahubDataset dataset : datahubJob.getOutSet()) { + assertEquals( + "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.spark_redshift_load_test,PROD)", + dataset.getUrn().toString()); + assertEquals( + dataset.getSchemaMetadata().getPlatform().toString(), "urn:li:dataPlatform:redshift"); + } + } + + public void testProcessRedshiftOutputLowercasedUrns() throws URISyntaxException, IOException { + DatahubOpenlineageConfig.DatahubOpenlineageConfigBuilder builder = + DatahubOpenlineageConfig.builder(); + builder.fabricType(FabricType.DEV); + builder.hivePlatformAlias("glue"); + builder.materializeDataset(true); + builder.includeSchemaMetadata(true); + builder.lowerCaseDatasetUrns(true); + + String olEvent = + IOUtils.toString( + this.getClass() + .getResourceAsStream("/ol_events/redshift_mixed_case_lineage_spark.json"), + StandardCharsets.UTF_8); + + OpenLineage.RunEvent runEvent = OpenLineageClientUtils.runEventFromJson(olEvent); + DatahubJob datahubJob = OpenLineageToDataHub.convertRunEventToJob(runEvent, builder.build()); + + assertNotNull(datahubJob); + + for (DatahubDataset dataset : datahubJob.getInSet()) { + assertEquals( + "urn:li:dataset:(urn:li:dataPlatform:mysql,datahub.metadata_aspect_v2,DEV)", + dataset.getUrn().toString()); + } + for (DatahubDataset dataset : datahubJob.getOutSet()) { + assertEquals( + "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.spark_redshift_load_test,DEV)", + dataset.getUrn().toString()); + assertEquals( + dataset.getSchemaMetadata().getPlatform().toString(), "urn:li:dataPlatform:redshift"); + } + } } diff --git a/metadata-integration/java/spark-lineage-beta/src/test/resources/ol_events/redshift_mixed_case_lineage_spark.json b/metadata-integration/java/spark-lineage-beta/src/test/resources/ol_events/redshift_mixed_case_lineage_spark.json new file mode 100644 index 00000000000000..692eebe64bb5cb --- /dev/null +++ b/metadata-integration/java/spark-lineage-beta/src/test/resources/ol_events/redshift_mixed_case_lineage_spark.json @@ -0,0 +1,147 @@ +{ + "eventTime": "2024-06-18T06:52:21.64Z", + "producer": "https://github.com/OpenLineage/OpenLineage/tree/1.16.0/integration/spark", + "schemaURL": "https://openlineage.io/spec/2-0-2/OpenLineage.json#/$defs/RunEvent", + "eventType": "COMPLETE", + "run": { + "runId": "01902a1e-371a-7dbf-8098-2337d441e8dc", + "facets": { + "parent": { + "_producer": "https://github.com/OpenLineage/OpenLineage/tree/1.16.0/integration/spark", + "_schemaURL": "https://openlineage.io/spec/facets/1-0-1/ParentRunFacet.json#/$defs/ParentRunFacet", + "run": { + "runId": "01902a1e-0b05-750e-b38d-439998f7a853" + }, + "job": { + "namespace": "default", + "name": "jdbc_test_demo" + } + }, + "processing_engine": { + "_producer": "https://github.com/OpenLineage/OpenLineage/tree/1.16.0/integration/spark", + "_schemaURL": "https://openlineage.io/spec/facets/1-1-1/ProcessingEngineRunFacet.json#/$defs/ProcessingEngineRunFacet", + "version": "3.3.4", + "name": "spark" + }, + "environment-properties": { + "_producer": "https://github.com/OpenLineage/OpenLineage/tree/1.16.0/integration/spark", + "_schemaURL": "https://openlineage.io/spec/2-0-2/OpenLineage.json#/$defs/RunFacet", + "environment-properties": {} + }, + "spark_properties": { + "_producer": "https://github.com/OpenLineage/OpenLineage/tree/1.16.0/integration/spark", + "_schemaURL": "https://openlineage.io/spec/2-0-2/OpenLineage.json#/$defs/RunFacet", + "properties": { + "spark.master": "local[*]", + "spark.app.name": "JdbcTest-Demo" + } + } + } + }, + "job": { + "namespace": "default", + "name": "jdbc_test_demo.execute_save_into_data_source_command.spark_redshift_load_test", + "facets": { + "jobType": { + "_producer": "https://github.com/OpenLineage/OpenLineage/tree/1.16.0/integration/spark", + "_schemaURL": "https://openlineage.io/spec/facets/2-0-2/JobTypeJobFacet.json#/$defs/JobTypeJobFacet", + "processingType": "BATCH", + "integration": "SPARK", + "jobType": "SQL_JOB" + } + } + }, + "inputs": [ + { + "namespace": "mysql://localhost:3306", + "name": "DataHub.Metadata_Aspect_V2", + "facets": { + "dataSource": { + "_producer": "https://github.com/OpenLineage/OpenLineage/tree/1.16.0/integration/spark", + "_schemaURL": "https://openlineage.io/spec/facets/1-0-1/DatasourceDatasetFacet.json#/$defs/DatasourceDatasetFacet", + "name": "mysql://localhost:3306", + "uri": "mysql://localhost:3306" + }, + "schema": { + "_producer": "https://github.com/OpenLineage/OpenLineage/tree/1.16.0/integration/spark", + "_schemaURL": "https://openlineage.io/spec/facets/1-1-1/SchemaDatasetFacet.json#/$defs/SchemaDatasetFacet", + "fields": [ + { + "name": "urn", + "type": "string" + }, + { + "name": "aspect", + "type": "string" + }, + { + "name": "version", + "type": "long" + }, + { + "name": "metadata", + "type": "string" + }, + { + "name": "systemmetadata", + "type": "string" + }, + { + "name": "createdon", + "type": "timestamp" + }, + { + "name": "createdby", + "type": "string" + }, + { + "name": "createdfor", + "type": "string" + } + ] + } + }, + "inputFacets": {} + } + ], + "outputs": [ + { + "namespace": "redshift://my-redshift-cluster.us-west-2.redshift.amazonaws.com:5439", + "name": "DEV.PuBliC.SparK_RedshifT_Load_Test", + "facets": { + "dataSource": { + "_producer": "https://github.com/OpenLineage/OpenLineage/tree/1.16.0/integration/spark", + "_schemaURL": "https://openlineage.io/spec/facets/1-0-1/DatasourceDatasetFacet.json#/$defs/DatasourceDatasetFacet", + "name": "redshift://my-redshift-cluster.us-west-2.redshift.amazonaws.com:5439", + "uri": "redshift://my-redshift-cluster.us-west-2.redshift.amazonaws.com:5439" + }, + "schema": { + "_producer": "https://github.com/OpenLineage/OpenLineage/tree/1.16.0/integration/spark", + "_schemaURL": "https://openlineage.io/spec/facets/1-1-1/SchemaDatasetFacet.json#/$defs/SchemaDatasetFacet", + "fields": [ + { + "name": "urn", + "type": "string" + } + ] + }, + "columnLineage": { + "_producer": "https://github.com/OpenLineage/OpenLineage/tree/1.16.0/integration/spark", + "_schemaURL": "https://openlineage.io/spec/facets/1-0-2/ColumnLineageDatasetFacet.json#/$defs/ColumnLineageDatasetFacet", + "fields": { + "urn": { + "inputFields": [ + { + "namespace": "mysql://localhost:3306", + "name": "datahub.metadata_aspect_v2", + "field": "urn" + } + ] + } + } + } + }, + "outputFacets": {} + } + ] +} \ No newline at end of file diff --git a/metadata-io/metadata-io-api/src/main/java/com/linkedin/metadata/entity/ebean/batch/ChangeItemImpl.java b/metadata-io/metadata-io-api/src/main/java/com/linkedin/metadata/entity/ebean/batch/ChangeItemImpl.java index 30e9251982f10f..6f45a36d1daf46 100644 --- a/metadata-io/metadata-io-api/src/main/java/com/linkedin/metadata/entity/ebean/batch/ChangeItemImpl.java +++ b/metadata-io/metadata-io-api/src/main/java/com/linkedin/metadata/entity/ebean/batch/ChangeItemImpl.java @@ -4,6 +4,7 @@ import com.linkedin.common.AuditStamp; import com.linkedin.common.urn.Urn; import com.linkedin.data.template.RecordTemplate; +import com.linkedin.data.template.StringMap; import com.linkedin.events.metadata.ChangeType; import com.linkedin.metadata.aspect.AspectRetriever; import com.linkedin.metadata.aspect.SystemAspect; @@ -23,7 +24,10 @@ import com.linkedin.mxe.SystemMetadata; import java.io.IOException; import java.sql.Timestamp; +import java.util.Map; import java.util.Objects; +import java.util.Optional; +import java.util.stream.Collectors; import javax.annotation.Nonnull; import javax.annotation.Nullable; import lombok.Builder; @@ -69,7 +73,7 @@ public static ChangeItemImpl fromPatch( @Nonnull private final RecordTemplate recordTemplate; - @Nonnull private final SystemMetadata systemMetadata; + @Nonnull private SystemMetadata systemMetadata; @Nonnull private final AuditStamp auditStamp; @@ -80,19 +84,44 @@ public static ChangeItemImpl fromPatch( @Nonnull private final AspectSpec aspectSpec; @Setter @Nullable private SystemAspect previousSystemAspect; - @Setter private long nextAspectVersion; + private long nextAspectVersion; + private final Map headers; + + @Override + public void setNextAspectVersion(long nextAspectVersion) { + this.nextAspectVersion = nextAspectVersion; + try { + this.systemMetadata = new SystemMetadata(getSystemMetadata().copy().data()); + } catch (CloneNotSupportedException e) { + throw new RuntimeException(e); + } + this.systemMetadata.setVersion(String.valueOf(nextAspectVersion + 1)); + } @Nonnull @Override - public SystemAspect getSystemAspect(@Nullable Long version) { + public SystemAspect getSystemAspect(@Nullable Long nextAspectVersion) { EntityAspect entityAspect = new EntityAspect(); entityAspect.setAspect(getAspectName()); entityAspect.setMetadata(EntityApiUtils.toJsonAspect(getRecordTemplate())); entityAspect.setUrn(getUrn().toString()); - entityAspect.setVersion(version == null ? getNextAspectVersion() : version); + entityAspect.setVersion(nextAspectVersion == null ? getNextAspectVersion() : nextAspectVersion); entityAspect.setCreatedOn(new Timestamp(getAuditStamp().getTime())); entityAspect.setCreatedBy(getAuditStamp().getActor().toString()); - entityAspect.setSystemMetadata(EntityApiUtils.toJsonAspect(getSystemMetadata())); + if (nextAspectVersion != null) { + // Apply version to system metadata (copy to ensure we don't pollute shared systemMetadata + // objects across aspects) + SystemMetadata updatedSystemMetadata = null; + try { + updatedSystemMetadata = new SystemMetadata(getSystemMetadata().copy().data()); + } catch (CloneNotSupportedException e) { + throw new RuntimeException(e); + } + updatedSystemMetadata.setVersion(String.valueOf(nextAspectVersion + 1)); + entityAspect.setSystemMetadata(EntityApiUtils.toJsonAspect(updatedSystemMetadata)); + } else { + entityAspect.setSystemMetadata(EntityApiUtils.toJsonAspect(getSystemMetadata())); + } return EntityAspect.EntitySystemAspect.builder() .build(getEntitySpec(), getAspectSpec(), entityAspect); } @@ -112,10 +141,24 @@ public MetadataChangeProposal getMetadataChangeProposal() { mcp.setEntityKeyAspect( GenericRecordUtils.serializeAspect( EntityKeyUtils.convertUrnToEntityKey(getUrn(), entitySpec.getKeyAspectSpec()))); + if (!headers.isEmpty()) { + mcp.setHeaders(new StringMap(headers)); + } return mcp; } } + @Override + public Map getHeaders() { + return Optional.ofNullable(metadataChangeProposal) + .filter(MetadataChangeProposal::hasHeaders) + .map( + mcp -> + mcp.getHeaders().entrySet().stream() + .collect(Collectors.toMap(Map.Entry::getKey, Map.Entry::getValue))) + .orElse(headers); + } + public static class ChangeItemImplBuilder { // Ensure use of other builders @@ -133,6 +176,11 @@ public ChangeItemImpl build(AspectRetriever aspectRetriever) { // Apply change type default this.changeType = validateOrDefaultChangeType(changeType); + // Apply empty headers + if (this.headers == null) { + this.headers = Map.of(); + } + ValidationApiUtils.validateUrn(aspectRetriever.getEntityRegistry(), this.urn); log.debug("entity type = {}", this.urn.getEntityType()); @@ -156,7 +204,8 @@ public ChangeItemImpl build(AspectRetriever aspectRetriever) { this.entitySpec, this.aspectSpec, this.previousSystemAspect, - this.nextAspectVersion); + this.nextAspectVersion, + this.headers); } public static ChangeItemImpl build( diff --git a/metadata-io/src/main/java/com/linkedin/metadata/aspect/utils/DefaultAspectsUtil.java b/metadata-io/src/main/java/com/linkedin/metadata/aspect/utils/DefaultAspectsUtil.java index 6f0cd51af0793b..a4b2e991b6e1e0 100644 --- a/metadata-io/src/main/java/com/linkedin/metadata/aspect/utils/DefaultAspectsUtil.java +++ b/metadata-io/src/main/java/com/linkedin/metadata/aspect/utils/DefaultAspectsUtil.java @@ -12,6 +12,7 @@ import com.linkedin.common.BrowsePathsV2; import com.linkedin.common.urn.Urn; import com.linkedin.data.template.RecordTemplate; +import com.linkedin.data.template.SetMode; import com.linkedin.data.template.StringArray; import com.linkedin.dataplatform.DataPlatformInfo; import com.linkedin.entity.EntityResponse; @@ -29,6 +30,7 @@ import com.linkedin.metadata.utils.GenericRecordUtils; import com.linkedin.mxe.GenericAspect; import com.linkedin.mxe.MetadataChangeProposal; +import com.linkedin.mxe.SystemMetadata; import com.linkedin.util.Pair; import io.datahubproject.metadata.context.OperationContext; import java.util.Collection; @@ -348,7 +350,14 @@ public static MetadataChangeProposal getProposalFromAspectForDefault( // Set fields determined from original if (templateItem.getSystemMetadata() != null) { - proposal.setSystemMetadata(templateItem.getSystemMetadata()); + SystemMetadata systemMetadata = null; + try { + systemMetadata = new SystemMetadata(templateItem.getSystemMetadata().copy().data()); + } catch (CloneNotSupportedException e) { + throw new RuntimeException(e); + } + systemMetadata.setVersion(null, SetMode.REMOVE_IF_NULL); + proposal.setSystemMetadata(systemMetadata); } if (templateItem.getUrn() != null) { proposal.setEntityUrn(templateItem.getUrn()); diff --git a/metadata-io/src/main/java/com/linkedin/metadata/client/EntityClientAspectRetriever.java b/metadata-io/src/main/java/com/linkedin/metadata/client/EntityClientAspectRetriever.java index 3ee382ab0d74f3..bba8324d0c5612 100644 --- a/metadata-io/src/main/java/com/linkedin/metadata/client/EntityClientAspectRetriever.java +++ b/metadata-io/src/main/java/com/linkedin/metadata/client/EntityClientAspectRetriever.java @@ -4,12 +4,15 @@ import com.linkedin.entity.Aspect; import com.linkedin.entity.client.SystemEntityClient; import com.linkedin.metadata.aspect.CachingAspectRetriever; +import com.linkedin.metadata.aspect.SystemAspect; import com.linkedin.metadata.models.registry.EntityRegistry; import com.linkedin.r2.RemoteInvocationException; import io.datahubproject.metadata.context.OperationContext; import java.net.URISyntaxException; +import java.util.Collection; import java.util.Map; import java.util.Set; +import java.util.stream.Collectors; import javax.annotation.Nonnull; import javax.annotation.Nullable; import lombok.Builder; @@ -52,4 +55,25 @@ public Map> getLatestAspectObjects( } } } + + @Nonnull + @Override + public Map> getLatestSystemAspects( + Map> urnAspectNames) { + if (urnAspectNames.isEmpty()) { + return Map.of(); + } else { + try { + // TODO: This generates over-fetching if not all aspects are needed for each URN + return entityClient.getLatestSystemAspect( + systemOperationContext, + urnAspectNames.keySet(), + urnAspectNames.values().stream() + .flatMap(Collection::stream) + .collect(Collectors.toSet())); + } catch (RemoteInvocationException | URISyntaxException e) { + throw new RuntimeException(e); + } + } + } } diff --git a/metadata-io/src/main/java/com/linkedin/metadata/entity/EntityServiceAspectRetriever.java b/metadata-io/src/main/java/com/linkedin/metadata/entity/EntityServiceAspectRetriever.java index 53772207585341..626a1f72f5fb73 100644 --- a/metadata-io/src/main/java/com/linkedin/metadata/entity/EntityServiceAspectRetriever.java +++ b/metadata-io/src/main/java/com/linkedin/metadata/entity/EntityServiceAspectRetriever.java @@ -1,15 +1,19 @@ package com.linkedin.metadata.entity; import static com.linkedin.metadata.utils.GenericRecordUtils.entityResponseToAspectMap; +import static com.linkedin.metadata.utils.GenericRecordUtils.entityResponseToSystemAspectMap; import com.linkedin.common.urn.Urn; import com.linkedin.entity.Aspect; import com.linkedin.metadata.aspect.CachingAspectRetriever; +import com.linkedin.metadata.aspect.SystemAspect; import com.linkedin.metadata.models.registry.EntityRegistry; import io.datahubproject.metadata.context.OperationContext; import java.net.URISyntaxException; +import java.util.Collection; import java.util.Map; import java.util.Set; +import java.util.stream.Collectors; import javax.annotation.Nonnull; import javax.annotation.Nullable; import lombok.Builder; @@ -48,4 +52,30 @@ public Map> getLatestAspectObjects( } } } + + @Nonnull + @Override + public Map> getLatestSystemAspects( + Map> urnAspectNames) { + if (urnAspectNames.isEmpty()) { + return Map.of(); + } else { + String entityName = + urnAspectNames.keySet().stream().findFirst().map(Urn::getEntityType).get(); + try { + // TODO - This causes over-fetching if not all aspects are required for every URN + return entityResponseToSystemAspectMap( + entityService.getEntitiesV2( + systemOperationContext, + entityName, + urnAspectNames.keySet(), + urnAspectNames.values().stream() + .flatMap(Collection::stream) + .collect(Collectors.toSet())), + entityRegistry); + } catch (URISyntaxException e) { + throw new RuntimeException(e); + } + } + } } diff --git a/metadata-io/src/main/java/com/linkedin/metadata/entity/EntityServiceImpl.java b/metadata-io/src/main/java/com/linkedin/metadata/entity/EntityServiceImpl.java index 34c836d760a7d7..6f2f95b8b115ab 100644 --- a/metadata-io/src/main/java/com/linkedin/metadata/entity/EntityServiceImpl.java +++ b/metadata-io/src/main/java/com/linkedin/metadata/entity/EntityServiceImpl.java @@ -10,6 +10,7 @@ import static com.linkedin.metadata.utils.PegasusUtils.constructMCL; import static com.linkedin.metadata.utils.PegasusUtils.getDataTemplateClassFromSchema; import static com.linkedin.metadata.utils.PegasusUtils.urnToEntityName; +import static com.linkedin.metadata.utils.metrics.ExceptionUtils.collectMetrics; import com.codahale.metrics.Timer; import com.datahub.util.RecordUtils; @@ -408,23 +409,102 @@ public Map> getLatestEnvelopedAspects( @Nonnull OperationContext opContext, @Nonnull Set urns, @Nonnull Set aspectNames, - boolean alwaysIncludeKeyAspect) - throws URISyntaxException { + boolean alwaysIncludeKeyAspect) { - final Set dbKeys = + return getEnvelopedVersionedAspects( + opContext, urns.stream() .map( urn -> - aspectNames.stream() - .map( - aspectName -> - new EntityAspectIdentifier( - urn.toString(), aspectName, ASPECT_LATEST_VERSION)) - .collect(Collectors.toList())) - .flatMap(List::stream) + Map.entry( + urn, + aspectNames.stream() + .map(aspectName -> Map.entry(aspectName, 0L)) + .collect(Collectors.toMap(Map.Entry::getKey, Map.Entry::getValue)))) + .collect(Collectors.toMap(Map.Entry::getKey, Map.Entry::getValue)), + alwaysIncludeKeyAspect); + } + + @Override + public Map> getEnvelopedVersionedAspects( + @Nonnull OperationContext opContext, + @Nonnull Map> urnAspectVersions, + boolean alwaysIncludeKeyAspect) { + + // we will always need to fetch latest aspects in case the requested version is version 0 being + // requested with version != 0 + Map>> withLatest = + urnAspectVersions.entrySet().stream() + .map( + entry -> + Map.entry( + entry.getKey(), + entry.getValue().entrySet().stream() + .map( + aspectEntry -> + Map.entry( + aspectEntry.getKey(), + Stream.of(0L, aspectEntry.getValue()) + .collect(Collectors.toSet()))) + .collect(Collectors.toMap(Map.Entry::getKey, Map.Entry::getValue)))) + .collect(Collectors.toMap(Map.Entry::getKey, Map.Entry::getValue)); + + Map> latestResult = + getEnvelopedVersionedAspectsInternal(opContext, withLatest, alwaysIncludeKeyAspect); + + return latestResult.entrySet().stream() + .collect( + Collectors.toMap( + Map.Entry::getKey, + a -> + a.getValue().stream() + .filter( + v -> + matchVersion(v, urnAspectVersions.get(a.getKey()).get(v.getName()))) + .collect(Collectors.toList()))); + } + + private static boolean matchVersion( + @Nonnull EnvelopedAspect envelopedAspect, @Nullable Long expectedVersion) { + if (expectedVersion == null) { + return true; + } + if (Objects.equals(envelopedAspect.getVersion(GetMode.NULL), expectedVersion)) { + return true; + } + if (envelopedAspect.hasSystemMetadata() + && envelopedAspect.getSystemMetadata().hasVersion() + && envelopedAspect.getSystemMetadata().getVersion() != null) { + return Objects.equals( + Long.parseLong(envelopedAspect.getSystemMetadata().getVersion()), expectedVersion); + } + + return false; + } + + private Map> getEnvelopedVersionedAspectsInternal( + @Nonnull OperationContext opContext, + @Nonnull Map>> urnAspectVersions, + boolean alwaysIncludeKeyAspect) { + final Set dbKeys = + urnAspectVersions.entrySet().stream() + .flatMap( + entry -> { + Urn urn = entry.getKey(); + return entry.getValue().entrySet().stream() + .flatMap( + aspectNameVersion -> + aspectNameVersion.getValue().stream() + .map( + version -> + new EntityAspectIdentifier( + urn.toString(), + aspectNameVersion.getKey(), + version))); + }) .collect(Collectors.toSet()); - return getCorrespondingAspects(opContext, dbKeys, urns, alwaysIncludeKeyAspect); + return getCorrespondingAspects(opContext, dbKeys, alwaysIncludeKeyAspect); } /** @@ -481,22 +561,17 @@ public Map> getVersionedEnvelopedAspects( .flatMap(List::stream) .collect(Collectors.toSet())); - return getCorrespondingAspects( - opContext, - dbKeys, - versionedUrns.stream() - .map(versionedUrn -> versionedUrn.getUrn().toString()) - .map(UrnUtils::getUrn) - .collect(Collectors.toSet()), - alwaysIncludeKeyAspect); + return getCorrespondingAspects(opContext, dbKeys, alwaysIncludeKeyAspect); } private Map> getCorrespondingAspects( @Nonnull OperationContext opContext, Set dbKeys, - Set urns, boolean alwaysIncludeKeyAspect) { + Set urns = + dbKeys.stream().map(dbKey -> UrnUtils.getUrn(dbKey.getUrn())).collect(Collectors.toSet()); + final Map envelopedAspectMap = getEnvelopedAspects(opContext, dbKeys); @@ -779,9 +854,9 @@ private List ingestAspectsToLocalDB( EntityUtils.toSystemAspects( opContext.getRetrieverContext().get(), aspectDao.getLatestAspects(urnAspects)); - // read #2 + // read #2 (potentially) final Map> nextVersions = - aspectDao.getNextVersions(urnAspects); + EntityUtils.calculateNextVersions(aspectDao, latestAspects, urnAspects); // 1. Convert patches to full upserts // 2. Run any entity/aspect level hooks @@ -796,10 +871,13 @@ private List ingestAspectsToLocalDB( EntityUtils.toSystemAspects( opContext.getRetrieverContext().get(), aspectDao.getLatestAspects(updatedItems.getFirst())); - Map> newNextVersions = - aspectDao.getNextVersions(updatedItems.getFirst()); // merge updatedLatestAspects = AspectsBatch.merge(latestAspects, newLatestAspects); + + Map> newNextVersions = + EntityUtils.calculateNextVersions( + aspectDao, updatedLatestAspects, updatedItems.getFirst()); + // merge updatedNextVersions = AspectsBatch.merge(nextVersions, newNextVersions); } else { updatedLatestAspects = latestAspects; @@ -836,16 +914,16 @@ private List ingestAspectsToLocalDB( }) .collect(Collectors.toList()); + // No changes, return + if (changeMCPs.isEmpty()) { + return Collections.emptyList(); + } + // do final pre-commit checks with previous aspect value ValidationExceptionCollection exceptions = AspectsBatch.validatePreCommit(changeMCPs, opContext.getRetrieverContext().get()); if (!exceptions.isEmpty()) { - throw new ValidationException(exceptions.toString()); - } - - // No changes, return - if (changeMCPs.isEmpty()) { - return Collections.emptyList(); + throw new ValidationException(collectMetrics(exceptions).toString()); } // Database Upsert results @@ -2132,7 +2210,7 @@ private RollbackResult deleteAspectWithoutMCL( ValidationExceptionCollection exceptions = AspectsBatch.validateProposed(List.of(deleteItem), opContext.getRetrieverContext().get()); if (!exceptions.isEmpty()) { - throw new ValidationException(exceptions.toString()); + throw new ValidationException(collectMetrics(exceptions).toString()); } final RollbackResult result = @@ -2206,7 +2284,7 @@ private RollbackResult deleteAspectWithoutMCL( .collect(Collectors.toList()), opContext.getRetrieverContext().get()); if (!preCommitExceptions.isEmpty()) { - throw new ValidationException(preCommitExceptions.toString()); + throw new ValidationException(collectMetrics(preCommitExceptions).toString()); } // 5. Apply deletes and fix up latest row diff --git a/metadata-io/src/main/java/com/linkedin/metadata/entity/EntityUtils.java b/metadata-io/src/main/java/com/linkedin/metadata/entity/EntityUtils.java index e542b10af4ddc6..7842365ce429be 100644 --- a/metadata-io/src/main/java/com/linkedin/metadata/entity/EntityUtils.java +++ b/metadata-io/src/main/java/com/linkedin/metadata/entity/EntityUtils.java @@ -34,7 +34,9 @@ import java.util.List; import java.util.Map; import java.util.Optional; +import java.util.Set; import java.util.stream.Collectors; +import java.util.stream.Stream; import javax.annotation.Nonnull; import javax.annotation.Nullable; import lombok.extern.slf4j.Slf4j; @@ -159,7 +161,7 @@ static EntityResponse toEntityResponse( * Prefer batched interfaces * * @param entityAspect optional entity aspect - * @param aspectRetriever + * @param retrieverContext * @return */ public static Optional toSystemAspect( @@ -175,7 +177,7 @@ public static Optional toSystemAspect( * translate that into our java classes * * @param rawAspects `Map>` - * @param aspectRetriever used for read mutations + * @param retrieverContext used for read mutations * @return the java map for the given database object map */ @Nonnull @@ -278,4 +280,73 @@ public static List toSystemAspects( return systemAspects; } + + /** + * Use the precalculated next version from system metadata if it exists, otherwise lookup the next + * version the normal way from the database + * + * @param aspectDao database access + * @param latestAspects aspect version 0 with system metadata + * @param urnAspects urn/aspects which we need next version information for + * @return map of the urn/aspect to the next aspect version + */ + public static Map> calculateNextVersions( + AspectDao aspectDao, + Map> latestAspects, + Map> urnAspects) { + Map> precalculatedVersions = + latestAspects.entrySet().stream() + .map( + entry -> + Map.entry( + entry.getKey(), convertSystemAspectToNextVersionMap(entry.getValue()))) + .filter(entry -> !entry.getValue().isEmpty()) + .collect(Collectors.toMap(Map.Entry::getKey, Map.Entry::getValue)); + + Map> missingAspectVersions = + urnAspects.entrySet().stream() + .flatMap( + entry -> + entry.getValue().stream() + .map(aspectName -> Pair.of(entry.getKey(), aspectName))) + .filter( + urnAspectName -> + !precalculatedVersions + .getOrDefault(urnAspectName.getKey(), Map.of()) + .containsKey(urnAspectName.getValue())) + .collect( + Collectors.groupingBy( + Pair::getKey, Collectors.mapping(Pair::getValue, Collectors.toSet()))); + Map> databaseVersions = + missingAspectVersions.isEmpty() + ? Map.of() + : aspectDao.getNextVersions(missingAspectVersions); + + // stitch back together the precalculated and database versions + return Stream.concat( + precalculatedVersions.entrySet().stream(), databaseVersions.entrySet().stream()) + .collect( + Collectors.toMap( + Map.Entry::getKey, + Map.Entry::getValue, + (m1, m2) -> + Stream.concat(m1.entrySet().stream(), m2.entrySet().stream()) + .collect(Collectors.toMap(Map.Entry::getKey, Map.Entry::getValue)))); + } + + /** + * Given a map of aspect name to system aspect, extract the next version if it exists + * + * @param aspectMap aspect name to system aspect map + * @return aspect name to next aspect version + */ + private static Map convertSystemAspectToNextVersionMap( + Map aspectMap) { + return aspectMap.entrySet().stream() + .filter(entry -> entry.getValue().getVersion() == 0) + .map(entry -> Map.entry(entry.getKey(), entry.getValue().getSystemMetadataVersion())) + .filter(entry -> entry.getValue().isPresent()) + .map(entry -> Map.entry(entry.getKey(), entry.getValue().get())) + .collect(Collectors.toMap(Map.Entry::getKey, Map.Entry::getValue)); + } } diff --git a/metadata-io/src/main/java/com/linkedin/metadata/graph/elastic/ESGraphQueryDAO.java b/metadata-io/src/main/java/com/linkedin/metadata/graph/elastic/ESGraphQueryDAO.java index 30b688761d584a..e21c4e15b4fc9c 100644 --- a/metadata-io/src/main/java/com/linkedin/metadata/graph/elastic/ESGraphQueryDAO.java +++ b/metadata-io/src/main/java/com/linkedin/metadata/graph/elastic/ESGraphQueryDAO.java @@ -177,13 +177,18 @@ private SearchResponse executeGroupByLineageSearchQuery( sourceFilterQuery.minimumShouldMatch(1); validEdges.stream() .filter(pair -> RelationshipDirection.OUTGOING.equals(pair.getValue().getDirection())) - .forEach(pair -> sourceFilterQuery.should(getAggregationFilter(pair))); + .forEach( + pair -> + sourceFilterQuery.should( + getAggregationFilter(pair, RelationshipDirection.OUTGOING))); BoolQueryBuilder destFilterQuery = QueryBuilders.boolQuery(); destFilterQuery.minimumShouldMatch(1); validEdges.stream() .filter(pair -> RelationshipDirection.INCOMING.equals(pair.getValue().getDirection())) - .forEach(pair -> destFilterQuery.should(getAggregationFilter(pair))); + .forEach( + pair -> + destFilterQuery.should(getAggregationFilter(pair, RelationshipDirection.INCOMING))); FilterAggregationBuilder sourceRelationshipTypeFilters = AggregationBuilders.filter(FILTER_BY_SOURCE_RELATIONSHIP, sourceFilterQuery); @@ -226,17 +231,28 @@ private SearchResponse executeGroupByLineageSearchQuery( } } - private BoolQueryBuilder getAggregationFilter(Pair pair) { + private BoolQueryBuilder getAggregationFilter( + Pair pair, RelationshipDirection direction) { BoolQueryBuilder subFilter = QueryBuilders.boolQuery(); TermQueryBuilder relationshipTypeTerm = - QueryBuilders.termQuery(RELATIONSHIP_TYPE, pair.getValue().getType()); + QueryBuilders.termQuery(RELATIONSHIP_TYPE, pair.getValue().getType()).caseInsensitive(true); subFilter.must(relationshipTypeTerm); + + String sourceType; + String destinationType; + if (direction.equals(RelationshipDirection.OUTGOING)) { + sourceType = pair.getKey(); + destinationType = pair.getValue().getOpposingEntityType(); + } else { + sourceType = pair.getValue().getOpposingEntityType(); + destinationType = pair.getKey(); + } + TermQueryBuilder sourceTypeTerm = - QueryBuilders.termQuery(SOURCE + ".entityType", pair.getKey()); + QueryBuilders.termQuery(SOURCE + ".entityType", sourceType).caseInsensitive(true); subFilter.must(sourceTypeTerm); TermQueryBuilder destinationTypeTerm = - QueryBuilders.termQuery( - DESTINATION + ".entityType", pair.getValue().getOpposingEntityType()); + QueryBuilders.termQuery(DESTINATION + ".entityType", destinationType).caseInsensitive(true); subFilter.must(destinationTypeTerm); return subFilter; } diff --git a/metadata-io/src/test/java/com/linkedin/metadata/AspectGenerationUtils.java b/metadata-io/src/test/java/com/linkedin/metadata/AspectGenerationUtils.java index 9a64e397c9184e..b9a1817f476fba 100644 --- a/metadata-io/src/test/java/com/linkedin/metadata/AspectGenerationUtils.java +++ b/metadata-io/src/test/java/com/linkedin/metadata/AspectGenerationUtils.java @@ -6,6 +6,7 @@ import com.linkedin.common.urn.Urn; import com.linkedin.common.urn.UrnUtils; import com.linkedin.data.template.RecordTemplate; +import com.linkedin.data.template.SetMode; import com.linkedin.dataset.UpstreamArray; import com.linkedin.dataset.UpstreamLineage; import com.linkedin.identity.CorpUserInfo; @@ -14,6 +15,7 @@ import com.linkedin.metadata.utils.PegasusUtils; import com.linkedin.mxe.SystemMetadata; import javax.annotation.Nonnull; +import javax.annotation.Nullable; public class AspectGenerationUtils { @@ -29,18 +31,28 @@ public static SystemMetadata createSystemMetadata() { return createSystemMetadata(1625792689, "run-123"); } + @Nonnull + public static SystemMetadata createSystemMetadata(long nextAspectVersion) { + return createSystemMetadata( + 1625792689, "run-123", "run-123", String.valueOf(nextAspectVersion)); + } + @Nonnull public static SystemMetadata createSystemMetadata(long lastObserved, @Nonnull String runId) { - return createSystemMetadata(lastObserved, runId, runId); + return createSystemMetadata(lastObserved, runId, runId, null); } @Nonnull public static SystemMetadata createSystemMetadata( - long lastObserved, @Nonnull String runId, @Nonnull String lastRunId) { + long lastObserved, + @Nonnull String runId, + @Nonnull String lastRunId, + @Nullable String version) { SystemMetadata metadata = new SystemMetadata(); metadata.setLastObserved(lastObserved); metadata.setRunId(runId); metadata.setLastRunId(lastRunId); + metadata.setVersion(version, SetMode.IGNORE_NULL); return metadata; } diff --git a/metadata-io/src/test/java/com/linkedin/metadata/entity/DeleteEntityServiceTest.java b/metadata-io/src/test/java/com/linkedin/metadata/entity/DeleteEntityServiceTest.java index ca0c7322337efd..fe3608a2cf71db 100644 --- a/metadata-io/src/test/java/com/linkedin/metadata/entity/DeleteEntityServiceTest.java +++ b/metadata-io/src/test/java/com/linkedin/metadata/entity/DeleteEntityServiceTest.java @@ -7,6 +7,10 @@ import com.datahub.util.RecordUtils; import com.google.common.collect.ImmutableList; import com.linkedin.common.AuditStamp; +import com.linkedin.common.FormAssociation; +import com.linkedin.common.FormAssociationArray; +import com.linkedin.common.FormVerificationAssociationArray; +import com.linkedin.common.Forms; import com.linkedin.common.urn.Urn; import com.linkedin.common.urn.UrnUtils; import com.linkedin.container.Container; @@ -19,11 +23,17 @@ import com.linkedin.metadata.event.EventProducer; import com.linkedin.metadata.graph.GraphService; import com.linkedin.metadata.graph.RelatedEntitiesResult; +import com.linkedin.metadata.query.filter.Filter; import com.linkedin.metadata.query.filter.RelationshipDirection; import com.linkedin.metadata.run.DeleteReferencesResponse; +import com.linkedin.metadata.search.EntitySearchService; +import com.linkedin.metadata.search.ScrollResult; +import com.linkedin.metadata.search.SearchEntity; +import com.linkedin.metadata.search.SearchEntityArray; import com.linkedin.metadata.service.UpdateIndicesService; import com.linkedin.metadata.utils.AuditStampUtils; import com.linkedin.metadata.utils.SystemMetadataUtils; +import com.linkedin.mxe.MetadataChangeProposal; import io.datahubproject.metadata.context.OperationContext; import io.datahubproject.test.metadata.context.TestOperationContexts; import java.sql.Timestamp; @@ -39,17 +49,20 @@ public class DeleteEntityServiceTest { protected GraphService _graphService = Mockito.mock(GraphService.class); protected DeleteEntityService _deleteEntityService; protected UpdateIndicesService _mockUpdateIndicesService; + protected EntitySearchService _mockSearchService; public DeleteEntityServiceTest() { opContext = TestOperationContexts.systemContextNoSearchAuthorization(); _aspectDao = mock(EbeanAspectDao.class); _mockUpdateIndicesService = mock(UpdateIndicesService.class); + _mockSearchService = mock(EntitySearchService.class); PreProcessHooks preProcessHooks = new PreProcessHooks(); preProcessHooks.setUiEnabled(true); _entityServiceImpl = new EntityServiceImpl(_aspectDao, mock(EventProducer.class), true, preProcessHooks, true); _entityServiceImpl.setUpdateIndicesService(_mockUpdateIndicesService); - _deleteEntityService = new DeleteEntityService(_entityServiceImpl, _graphService); + _deleteEntityService = + new DeleteEntityService(_entityServiceImpl, _graphService, _mockSearchService); } /** @@ -119,4 +132,203 @@ public void testDeleteUniqueRefGeneratesValidMCP() { assertEquals(1, (int) response.getTotal()); assertFalse(response.getRelatedAspects().isEmpty()); } + + /** This test checks whether updating search references works properly (for forms only for now) */ + @Test + public void testDeleteSearchReferences() { + EntityService mockEntityService = Mockito.mock(EntityService.class); + DeleteEntityService deleteEntityService = + new DeleteEntityService(mockEntityService, _graphService, _mockSearchService); + + final Urn dataset = UrnUtils.toDatasetUrn("snowflake", "test", "DEV"); + final Urn form = UrnUtils.getUrn("urn:li:form:12345"); + + ScrollResult scrollResult = new ScrollResult(); + SearchEntityArray entities = new SearchEntityArray(); + SearchEntity searchEntity = new SearchEntity(); + searchEntity.setEntity(dataset); + entities.add(searchEntity); + scrollResult.setEntities(entities); + scrollResult.setNumEntities(1); + scrollResult.setScrollId("1"); + Mockito.when( + _mockSearchService.structuredScroll( + Mockito.any(OperationContext.class), + Mockito.any(), + Mockito.eq("*"), + Mockito.any(Filter.class), + Mockito.eq(null), + Mockito.eq(null), + Mockito.eq("5m"), + Mockito.eq(1000))) + .thenReturn(scrollResult); + + ScrollResult scrollResult2 = new ScrollResult(); + scrollResult2.setNumEntities(0); + Mockito.when( + _mockSearchService.structuredScroll( + Mockito.any(OperationContext.class), + Mockito.any(), + Mockito.eq("*"), + Mockito.any(Filter.class), + Mockito.eq(null), + Mockito.eq("1"), + Mockito.eq("5m"), + Mockito.eq(1000))) + .thenReturn(scrollResult2); + + Forms formsAspect = new Forms(); + FormAssociationArray incompleteForms = new FormAssociationArray(); + FormAssociation formAssociation = new FormAssociation(); + formAssociation.setUrn(form); + incompleteForms.add(formAssociation); + formsAspect.setIncompleteForms(incompleteForms); + formsAspect.setCompletedForms(new FormAssociationArray()); + formsAspect.setVerifications(new FormVerificationAssociationArray()); + Mockito.when( + mockEntityService.getLatestAspect( + Mockito.any(OperationContext.class), Mockito.eq(dataset), Mockito.eq("forms"))) + .thenReturn(formsAspect); + + // no entities with relationships on forms + final RelatedEntitiesResult mockRelatedEntities = + new RelatedEntitiesResult(0, 0, 0, ImmutableList.of()); + Mockito.when( + _graphService.findRelatedEntities( + null, + newFilter("urn", form.toString()), + null, + EMPTY_FILTER, + ImmutableList.of(), + newRelationshipFilter(EMPTY_FILTER, RelationshipDirection.INCOMING), + 0, + 10000)) + .thenReturn(mockRelatedEntities); + + final DeleteReferencesResponse response = + deleteEntityService.deleteReferencesTo(opContext, form, false); + + // ensure we ingest one MCP for cleaning up forms reference + Mockito.verify(mockEntityService, Mockito.times(1)) + .ingestProposal( + any(), + Mockito.any(MetadataChangeProposal.class), + Mockito.any(AuditStamp.class), + Mockito.eq(true)); + assertEquals(1, (int) response.getTotal()); + assertTrue(response.getRelatedAspects().isEmpty()); + } + + /** This test ensures we aren't issuing MCPs if there are no search references */ + @Test + public void testDeleteNoSearchReferences() { + EntityService mockEntityService = Mockito.mock(EntityService.class); + DeleteEntityService deleteEntityService = + new DeleteEntityService(mockEntityService, _graphService, _mockSearchService); + + final Urn dataset = UrnUtils.toDatasetUrn("snowflake", "test", "DEV"); + final Urn form = UrnUtils.getUrn("urn:li:form:12345"); + + ScrollResult scrollResult = new ScrollResult(); + scrollResult.setEntities(new SearchEntityArray()); + scrollResult.setNumEntities(0); + Mockito.when( + _mockSearchService.structuredScroll( + Mockito.any(OperationContext.class), + Mockito.any(), + Mockito.eq("*"), + Mockito.any(Filter.class), + Mockito.eq(null), + Mockito.eq(null), + Mockito.eq("5m"), + Mockito.eq(1000))) + .thenReturn(scrollResult); + + // no entities with relationships on forms + final RelatedEntitiesResult mockRelatedEntities = + new RelatedEntitiesResult(0, 0, 0, ImmutableList.of()); + Mockito.when( + _graphService.findRelatedEntities( + null, + newFilter("urn", form.toString()), + null, + EMPTY_FILTER, + ImmutableList.of(), + newRelationshipFilter(EMPTY_FILTER, RelationshipDirection.INCOMING), + 0, + 10000)) + .thenReturn(mockRelatedEntities); + + final DeleteReferencesResponse response = + deleteEntityService.deleteReferencesTo(opContext, form, false); + + // ensure we did not ingest anything if there are no references + Mockito.verify(mockEntityService, Mockito.times(0)) + .ingestProposal( + any(), + Mockito.any(MetadataChangeProposal.class), + Mockito.any(AuditStamp.class), + Mockito.eq(true)); + assertEquals(0, (int) response.getTotal()); + assertTrue(response.getRelatedAspects().isEmpty()); + } + + /** This test checks to make sure we don't issue MCPs if this is a dry-run */ + @Test + public void testDeleteSearchReferencesDryRun() { + EntityService mockEntityService = Mockito.mock(EntityService.class); + DeleteEntityService deleteEntityService = + new DeleteEntityService(mockEntityService, _graphService, _mockSearchService); + + final Urn dataset = UrnUtils.toDatasetUrn("snowflake", "test", "DEV"); + final Urn form = UrnUtils.getUrn("urn:li:form:12345"); + + ScrollResult scrollResult = new ScrollResult(); + SearchEntityArray entities = new SearchEntityArray(); + SearchEntity searchEntity = new SearchEntity(); + searchEntity.setEntity(dataset); + entities.add(searchEntity); + scrollResult.setEntities(entities); + scrollResult.setNumEntities(1); + scrollResult.setScrollId("1"); + Mockito.when( + _mockSearchService.structuredScroll( + Mockito.any(OperationContext.class), + Mockito.any(), + Mockito.eq("*"), + Mockito.any(Filter.class), + Mockito.eq(null), + Mockito.eq(null), + Mockito.eq("5m"), + Mockito.eq(1000))) + .thenReturn(scrollResult); + + // no entities with relationships on forms + final RelatedEntitiesResult mockRelatedEntities = + new RelatedEntitiesResult(0, 0, 0, ImmutableList.of()); + Mockito.when( + _graphService.findRelatedEntities( + null, + newFilter("urn", form.toString()), + null, + EMPTY_FILTER, + ImmutableList.of(), + newRelationshipFilter(EMPTY_FILTER, RelationshipDirection.INCOMING), + 0, + 10000)) + .thenReturn(mockRelatedEntities); + + final DeleteReferencesResponse response = + deleteEntityService.deleteReferencesTo(opContext, form, false); + + // ensure we do not ingest anything since this is dry-run, but the total returns 1 + Mockito.verify(mockEntityService, Mockito.times(0)) + .ingestProposal( + any(), + Mockito.any(MetadataChangeProposal.class), + Mockito.any(AuditStamp.class), + Mockito.eq(true)); + assertEquals(1, (int) response.getTotal()); + assertTrue(response.getRelatedAspects().isEmpty()); + } } diff --git a/metadata-io/src/test/java/com/linkedin/metadata/entity/EntityServiceTest.java b/metadata-io/src/test/java/com/linkedin/metadata/entity/EntityServiceTest.java index 91b01c55aac396..33598be8fc72b2 100644 --- a/metadata-io/src/test/java/com/linkedin/metadata/entity/EntityServiceTest.java +++ b/metadata-io/src/test/java/com/linkedin/metadata/entity/EntityServiceTest.java @@ -520,7 +520,7 @@ public void testReingestAspectsGetLatestAspects() throws Exception { String aspectName1 = AspectGenerationUtils.getAspectName(writeAspect1); pairToIngest.add(getAspectRecordPair(writeAspect1, CorpUserInfo.class)); - SystemMetadata metadata1 = AspectGenerationUtils.createSystemMetadata(); + SystemMetadata metadata1 = AspectGenerationUtils.createSystemMetadata(1); _entityServiceImpl.ingestAspects( opContext, entityUrn, pairToIngest, TEST_AUDIT_STAMP, metadata1); @@ -586,10 +586,12 @@ public void testReingestLineageAspect() throws Exception { String aspectName1 = AspectGenerationUtils.getAspectName(upstreamLineage); pairToIngest.add(getAspectRecordPair(upstreamLineage, UpstreamLineage.class)); - SystemMetadata metadata1 = AspectGenerationUtils.createSystemMetadata(); - _entityServiceImpl.ingestAspects( - opContext, entityUrn, pairToIngest, TEST_AUDIT_STAMP, metadata1); + opContext, + entityUrn, + pairToIngest, + TEST_AUDIT_STAMP, + AspectGenerationUtils.createSystemMetadata()); final MetadataChangeLog initialChangeLog = new MetadataChangeLog(); initialChangeLog.setEntityType(entityUrn.getEntityType()); @@ -601,7 +603,7 @@ public void testReingestLineageAspect() throws Exception { GenericAspect aspect = GenericRecordUtils.serializeAspect(pairToIngest.get(0).getSecond()); initialChangeLog.setAspect(aspect); - initialChangeLog.setSystemMetadata(metadata1); + initialChangeLog.setSystemMetadata(AspectGenerationUtils.createSystemMetadata(1)); initialChangeLog.setEntityKeyAspect( GenericRecordUtils.serializeAspect( EntityKeyUtils.convertUrnToEntityKey( @@ -615,9 +617,10 @@ public void testReingestLineageAspect() throws Exception { restateChangeLog.setAspectName(aspectName1); restateChangeLog.setCreated(TEST_AUDIT_STAMP); restateChangeLog.setAspect(aspect); - restateChangeLog.setSystemMetadata(metadata1); + restateChangeLog.setSystemMetadata(AspectGenerationUtils.createSystemMetadata(1)); restateChangeLog.setPreviousAspectValue(aspect); - restateChangeLog.setPreviousSystemMetadata(simulatePullFromDB(metadata1, SystemMetadata.class)); + restateChangeLog.setPreviousSystemMetadata( + simulatePullFromDB(AspectGenerationUtils.createSystemMetadata(1), SystemMetadata.class)); restateChangeLog.setEntityKeyAspect( GenericRecordUtils.serializeAspect( EntityKeyUtils.convertUrnToEntityKey( @@ -638,7 +641,11 @@ public void testReingestLineageAspect() throws Exception { clearInvocations(_mockProducer); _entityServiceImpl.ingestAspects( - opContext, entityUrn, pairToIngest, TEST_AUDIT_STAMP, metadata1); + opContext, + entityUrn, + pairToIngest, + TEST_AUDIT_STAMP, + AspectGenerationUtils.createSystemMetadata()); verify(_mockProducer, times(1)) .produceMetadataChangeLog( @@ -658,7 +665,7 @@ public void testReingestLineageProposal() throws Exception { final UpstreamLineage upstreamLineage = AspectGenerationUtils.createUpstreamLineage(); String aspectName1 = AspectGenerationUtils.getAspectName(upstreamLineage); - SystemMetadata metadata1 = AspectGenerationUtils.createSystemMetadata(); + SystemMetadata metadata1 = AspectGenerationUtils.createSystemMetadata(1); MetadataChangeProposal mcp1 = new MetadataChangeProposal(); mcp1.setEntityType(entityUrn.getEntityType()); GenericAspect genericAspect = GenericRecordUtils.serializeAspect(upstreamLineage); @@ -687,7 +694,7 @@ public void testReingestLineageProposal() throws Exception { restateChangeLog.setAspectName(aspectName1); restateChangeLog.setCreated(TEST_AUDIT_STAMP); restateChangeLog.setAspect(genericAspect); - restateChangeLog.setSystemMetadata(metadata1); + restateChangeLog.setSystemMetadata(AspectGenerationUtils.createSystemMetadata(1)); restateChangeLog.setPreviousAspectValue(genericAspect); restateChangeLog.setPreviousSystemMetadata(simulatePullFromDB(metadata1, SystemMetadata.class)); @@ -1177,8 +1184,10 @@ public void testIngestGetLatestAspect() throws AssertionError { CorpUserInfo writeAspect1 = AspectGenerationUtils.createCorpUserInfo("email@test.com"); String aspectName = AspectGenerationUtils.getAspectName(writeAspect1); - SystemMetadata metadata1 = AspectGenerationUtils.createSystemMetadata(1625792689, "run-123"); - SystemMetadata metadata2 = AspectGenerationUtils.createSystemMetadata(1635792689, "run-456"); + SystemMetadata metadata1 = + AspectGenerationUtils.createSystemMetadata(1625792689, "run-123", "run-123", "1"); + SystemMetadata metadata2 = + AspectGenerationUtils.createSystemMetadata(1635792689, "run-456", "run-456", "2"); List items = List.of( @@ -1287,8 +1296,10 @@ public void testIngestGetLatestEnvelopedAspect() throws Exception { CorpUserInfo writeAspect1 = AspectGenerationUtils.createCorpUserInfo("email@test.com"); String aspectName = AspectGenerationUtils.getAspectName(writeAspect1); - SystemMetadata metadata1 = AspectGenerationUtils.createSystemMetadata(1625792689, "run-123"); - SystemMetadata metadata2 = AspectGenerationUtils.createSystemMetadata(1635792689, "run-456"); + SystemMetadata metadata1 = + AspectGenerationUtils.createSystemMetadata(1625792689, "run-123", "run-123", "1"); + SystemMetadata metadata2 = + AspectGenerationUtils.createSystemMetadata(1635792689, "run-456", "run-456", "2"); List items = List.of( @@ -1384,7 +1395,7 @@ public void testIngestSameAspect() throws AssertionError { SystemMetadata metadata1 = AspectGenerationUtils.createSystemMetadata(1625792689, "run-123"); SystemMetadata metadata2 = AspectGenerationUtils.createSystemMetadata(1635792689, "run-456"); SystemMetadata metadata3 = - AspectGenerationUtils.createSystemMetadata(1635792689, "run-123", "run-456"); + AspectGenerationUtils.createSystemMetadata(1635792689, "run-123", "run-456", "1"); List items = List.of( @@ -1488,8 +1499,6 @@ public void testIngestSameAspect() throws AssertionError { public void testRetention() throws AssertionError { Urn entityUrn = UrnUtils.getUrn("urn:li:corpuser:test1"); - SystemMetadata metadata1 = AspectGenerationUtils.createSystemMetadata(); - String aspectName = AspectGenerationUtils.getAspectName(new CorpUserInfo()); // Ingest CorpUserInfo Aspect @@ -1509,42 +1518,42 @@ public void testRetention() throws AssertionError { .urn(entityUrn) .aspectName(aspectName) .recordTemplate(writeAspect1) - .systemMetadata(metadata1) + .systemMetadata(AspectGenerationUtils.createSystemMetadata()) .auditStamp(TEST_AUDIT_STAMP) .build(opContext.getAspectRetrieverOpt().get()), ChangeItemImpl.builder() .urn(entityUrn) .aspectName(aspectName) .recordTemplate(writeAspect1a) - .systemMetadata(metadata1) + .systemMetadata(AspectGenerationUtils.createSystemMetadata()) .auditStamp(TEST_AUDIT_STAMP) .build(opContext.getAspectRetrieverOpt().get()), ChangeItemImpl.builder() .urn(entityUrn) .aspectName(aspectName) .recordTemplate(writeAspect1b) - .systemMetadata(metadata1) + .systemMetadata(AspectGenerationUtils.createSystemMetadata()) .auditStamp(TEST_AUDIT_STAMP) .build(opContext.getAspectRetrieverOpt().get()), ChangeItemImpl.builder() .urn(entityUrn) .aspectName(aspectName2) .recordTemplate(writeAspect2) - .systemMetadata(metadata1) + .systemMetadata(AspectGenerationUtils.createSystemMetadata()) .auditStamp(TEST_AUDIT_STAMP) .build(opContext.getAspectRetrieverOpt().get()), ChangeItemImpl.builder() .urn(entityUrn) .aspectName(aspectName2) .recordTemplate(writeAspect2a) - .systemMetadata(metadata1) + .systemMetadata(AspectGenerationUtils.createSystemMetadata()) .auditStamp(TEST_AUDIT_STAMP) .build(opContext.getAspectRetrieverOpt().get()), ChangeItemImpl.builder() .urn(entityUrn) .aspectName(aspectName2) .recordTemplate(writeAspect2b) - .systemMetadata(metadata1) + .systemMetadata(AspectGenerationUtils.createSystemMetadata()) .auditStamp(TEST_AUDIT_STAMP) .build(opContext.getAspectRetrieverOpt().get())); _entityServiceImpl.ingestAspects( @@ -1585,14 +1594,14 @@ public void testRetention() throws AssertionError { .urn(entityUrn) .aspectName(aspectName) .recordTemplate(writeAspect1c) - .systemMetadata(metadata1) + .systemMetadata(AspectGenerationUtils.createSystemMetadata()) .auditStamp(TEST_AUDIT_STAMP) .build(opContext.getAspectRetrieverOpt().get()), ChangeItemImpl.builder() .urn(entityUrn) .aspectName(aspectName2) .recordTemplate(writeAspect2c) - .systemMetadata(metadata1) + .systemMetadata(AspectGenerationUtils.createSystemMetadata()) .auditStamp(TEST_AUDIT_STAMP) .build(opContext.getAspectRetrieverOpt().get())); _entityServiceImpl.ingestAspects( @@ -1634,32 +1643,60 @@ public void testRetention() throws AssertionError { public void testIngestAspectIfNotPresent() throws AssertionError { Urn entityUrn = UrnUtils.getUrn("urn:li:corpuser:test1"); - SystemMetadata metadata1 = AspectGenerationUtils.createSystemMetadata(); - String aspectName = AspectGenerationUtils.getAspectName(new CorpUserInfo()); // Ingest CorpUserInfo Aspect CorpUserInfo writeAspect1 = AspectGenerationUtils.createCorpUserInfo("email@test.com"); _entityServiceImpl.ingestAspectIfNotPresent( - opContext, entityUrn, aspectName, writeAspect1, TEST_AUDIT_STAMP, metadata1); + opContext, + entityUrn, + aspectName, + writeAspect1, + TEST_AUDIT_STAMP, + AspectGenerationUtils.createSystemMetadata()); CorpUserInfo writeAspect1a = AspectGenerationUtils.createCorpUserInfo("email_a@test.com"); _entityServiceImpl.ingestAspectIfNotPresent( - opContext, entityUrn, aspectName, writeAspect1a, TEST_AUDIT_STAMP, metadata1); + opContext, + entityUrn, + aspectName, + writeAspect1a, + TEST_AUDIT_STAMP, + AspectGenerationUtils.createSystemMetadata()); CorpUserInfo writeAspect1b = AspectGenerationUtils.createCorpUserInfo("email_b@test.com"); _entityServiceImpl.ingestAspectIfNotPresent( - opContext, entityUrn, aspectName, writeAspect1b, TEST_AUDIT_STAMP, metadata1); + opContext, + entityUrn, + aspectName, + writeAspect1b, + TEST_AUDIT_STAMP, + AspectGenerationUtils.createSystemMetadata()); String aspectName2 = AspectGenerationUtils.getAspectName(new Status()); // Ingest Status Aspect Status writeAspect2 = new Status().setRemoved(true); _entityServiceImpl.ingestAspectIfNotPresent( - opContext, entityUrn, aspectName2, writeAspect2, TEST_AUDIT_STAMP, metadata1); + opContext, + entityUrn, + aspectName2, + writeAspect2, + TEST_AUDIT_STAMP, + AspectGenerationUtils.createSystemMetadata()); Status writeAspect2a = new Status().setRemoved(false); _entityServiceImpl.ingestAspectIfNotPresent( - opContext, entityUrn, aspectName2, writeAspect2a, TEST_AUDIT_STAMP, metadata1); + opContext, + entityUrn, + aspectName2, + writeAspect2a, + TEST_AUDIT_STAMP, + AspectGenerationUtils.createSystemMetadata()); Status writeAspect2b = new Status().setRemoved(true); _entityServiceImpl.ingestAspectIfNotPresent( - opContext, entityUrn, aspectName2, writeAspect2b, TEST_AUDIT_STAMP, metadata1); + opContext, + entityUrn, + aspectName2, + writeAspect2b, + TEST_AUDIT_STAMP, + AspectGenerationUtils.createSystemMetadata()); assertEquals(_entityServiceImpl.getAspect(opContext, entityUrn, aspectName, 0), writeAspect1); assertEquals(_entityServiceImpl.getAspect(opContext, entityUrn, aspectName2, 0), writeAspect2); diff --git a/metadata-io/src/test/java/com/linkedin/metadata/service/AssertionServiceTest.java b/metadata-io/src/test/java/com/linkedin/metadata/service/AssertionServiceTest.java index 83cec7841ec249..0390e4d8e0a58d 100644 --- a/metadata-io/src/test/java/com/linkedin/metadata/service/AssertionServiceTest.java +++ b/metadata-io/src/test/java/com/linkedin/metadata/service/AssertionServiceTest.java @@ -1,7 +1,6 @@ package com.linkedin.metadata.service; import static com.linkedin.metadata.Constants.*; -import static com.linkedin.metadata.service.AssertionService.*; import static org.mockito.ArgumentMatchers.*; import static org.mockito.Mockito.*; @@ -221,8 +220,7 @@ public void testAddAssertionRunEventRequiredFields() throws Exception, RemoteInv TEST_ASSERTION_URN, TEST_DATASET_URN, eventtime, - new AssertionResult().setType(AssertionResultType.SUCCESS), - null); + new AssertionResult().setType(AssertionResultType.SUCCESS)); Mockito.verify(mockedEntityClient, Mockito.times(1)) .ingestProposal(any(OperationContext.class), Mockito.any(), Mockito.eq(false)); @@ -234,7 +232,7 @@ public void testAddAssertionRunEventAllFields() throws Exception, RemoteInvocati AssertionService assertionService = new AssertionService(mockedEntityClient, mock(GraphClient.class)); Long eventtime = 1718619000000L; - StringMap customProps = new StringMap(Map.of("prop-1", "value-1")); + StringMap nativeResults = new StringMap(Map.of("prop-1", "value-1")); StringMap errorProps = new StringMap(Map.of("message", "errorMessage")); String externalUrlOfAssertion = "https://abc/xyz"; @@ -254,7 +252,7 @@ public void testAddAssertionRunEventAllFields() throws Exception, RemoteInvocati Assert.assertEquals(runEvent.getAsserteeUrn(), TEST_DATASET_URN); Assert.assertEquals(runEvent.getTimestampMillis(), eventtime); Assert.assertEquals(runEvent.getStatus(), AssertionRunStatus.COMPLETE); - Assert.assertEquals(runEvent.getRuntimeContext(), customProps); + Assert.assertEquals(runEvent.getResult().getNativeResults(), nativeResults); AssertionResult result = runEvent.getResult(); Assert.assertEquals(result.getType(), AssertionResultType.ERROR); @@ -276,11 +274,11 @@ public void testAddAssertionRunEventAllFields() throws Exception, RemoteInvocati new AssertionResult() .setType(AssertionResultType.ERROR) .setExternalUrl(externalUrlOfAssertion) + .setNativeResults(nativeResults) .setError( new AssertionResultError() .setType(AssertionResultErrorType.UNKNOWN_ERROR) - .setProperties(errorProps)), - customProps); + .setProperties(errorProps))); Mockito.verify(mockedEntityClient, Mockito.times(1)) .ingestProposal(any(OperationContext.class), Mockito.any(), Mockito.eq(false)); diff --git a/metadata-io/src/test/java/com/linkedin/metadata/structuredproperties/validators/StructuredPropertiesValidatorTest.java b/metadata-io/src/test/java/com/linkedin/metadata/structuredproperties/validators/StructuredPropertiesValidatorTest.java index 7a2b8fd69f3686..0ab5b68327f2fc 100644 --- a/metadata-io/src/test/java/com/linkedin/metadata/structuredproperties/validators/StructuredPropertiesValidatorTest.java +++ b/metadata-io/src/test/java/com/linkedin/metadata/structuredproperties/validators/StructuredPropertiesValidatorTest.java @@ -389,7 +389,7 @@ public void testValidateImmutableMutation() throws URISyntaxException { .collect(Collectors.toList()); Assert.assertEquals(exceptions.size(), 1, "Expected rejected mutation of immutable property."); - Assert.assertEquals(exceptions.get(0).getExceptionKey().getKey(), TEST_DATASET_URN); + Assert.assertEquals(exceptions.get(0).getAspectGroup().getKey(), TEST_DATASET_URN); Assert.assertTrue( exceptions.get(0).getMessage().contains("Cannot mutate an immutable property")); } @@ -484,7 +484,7 @@ public void testValidateImmutableDelete() throws URISyntaxException { .collect(Collectors.toList()); Assert.assertEquals(exceptions.size(), 1, "Expected rejected delete of immutable property."); - Assert.assertEquals(exceptions.get(0).getExceptionKey().getKey(), TEST_DATASET_URN); + Assert.assertEquals(exceptions.get(0).getAspectGroup().getKey(), TEST_DATASET_URN); Assert.assertTrue( exceptions.get(0).getMessage().contains("Cannot delete an immutable property")); } diff --git a/metadata-models-custom/src/main/java/com/linkedin/metadata/aspect/plugins/spring/validation/CustomDataQualityRulesValidator.java b/metadata-models-custom/src/main/java/com/linkedin/metadata/aspect/plugins/spring/validation/CustomDataQualityRulesValidator.java index 3cd1acaf9645d1..5181d749ba3fcc 100644 --- a/metadata-models-custom/src/main/java/com/linkedin/metadata/aspect/plugins/spring/validation/CustomDataQualityRulesValidator.java +++ b/metadata-models-custom/src/main/java/com/linkedin/metadata/aspect/plugins/spring/validation/CustomDataQualityRulesValidator.java @@ -49,8 +49,7 @@ protected Stream validateProposedAspects( DataQualityRules rules = new DataQualityRules(item.getRecordTemplate().data()); // Enforce at least 1 rule return rules.getRules().isEmpty() - ? new AspectValidationException( - item.getUrn(), item.getAspectName(), "At least one rule is required.") + ? AspectValidationException.forItem(item, "At least one rule is required.") : null; }) .filter(Objects::nonNull); @@ -79,9 +78,8 @@ protected Stream validatePreCommitAspects( if (!newFieldTypeMap .getOrDefault(oldRule.getField(), oldRule.getType()) .equals(oldRule.getType())) { - return new AspectValidationException( - changeMCP.getUrn(), - changeMCP.getAspectName(), + return AspectValidationException.forItem( + changeMCP, String.format( "Field type mismatch. Field: %s Old: %s New: %s", oldRule.getField(), diff --git a/metadata-models-custom/src/main/java/com/linkedin/metadata/aspect/plugins/validation/CustomDataQualityRulesValidator.java b/metadata-models-custom/src/main/java/com/linkedin/metadata/aspect/plugins/validation/CustomDataQualityRulesValidator.java index b95d3381d9c8f9..590e09cd816c5f 100644 --- a/metadata-models-custom/src/main/java/com/linkedin/metadata/aspect/plugins/validation/CustomDataQualityRulesValidator.java +++ b/metadata-models-custom/src/main/java/com/linkedin/metadata/aspect/plugins/validation/CustomDataQualityRulesValidator.java @@ -26,8 +26,7 @@ protected Stream validateProposedAspects( DataQualityRules rules = new DataQualityRules(item.getRecordTemplate().data()); // Enforce at least 1 rule return rules.getRules().isEmpty() - ? new AspectValidationException( - item.getUrn(), item.getAspectName(), "At least one rule is required.") + ? AspectValidationException.forItem(item, "At least one rule is required.") : null; }) .filter(Objects::nonNull); @@ -56,9 +55,8 @@ protected Stream validatePreCommitAspects( if (!newFieldTypeMap .getOrDefault(oldRule.getField(), oldRule.getType()) .equals(oldRule.getType())) { - return new AspectValidationException( - changeMCP.getUrn(), - changeMCP.getAspectName(), + return AspectValidationException.forItem( + changeMCP, String.format( "Field type mismatch. Field: %s Old: %s New: %s", oldRule.getField(), diff --git a/metadata-models/src/main/pegasus/com/linkedin/mxe/MetadataChangeProposal.pdl b/metadata-models/src/main/pegasus/com/linkedin/mxe/MetadataChangeProposal.pdl index 3d540f58a686dc..f4b3bc2a292d3e 100644 --- a/metadata-models/src/main/pegasus/com/linkedin/mxe/MetadataChangeProposal.pdl +++ b/metadata-models/src/main/pegasus/com/linkedin/mxe/MetadataChangeProposal.pdl @@ -47,8 +47,12 @@ record MetadataChangeProposal { aspect: optional GenericAspect /** - * A string->string map of custom properties that one might want to attach to an event + * System properties that one might want to attach to an event **/ systemMetadata: optional SystemMetadata + /** + * Headers - intended to mimic http headers + */ + headers: optional map[string, string] } diff --git a/metadata-models/src/main/pegasus/com/linkedin/mxe/SystemMetadata.pdl b/metadata-models/src/main/pegasus/com/linkedin/mxe/SystemMetadata.pdl index 101557fca7949d..94c8aa77aa5d02 100644 --- a/metadata-models/src/main/pegasus/com/linkedin/mxe/SystemMetadata.pdl +++ b/metadata-models/src/main/pegasus/com/linkedin/mxe/SystemMetadata.pdl @@ -38,4 +38,11 @@ record SystemMetadata { * Additional properties */ properties: optional map[string, string] + + /** + * Aspect version + * Initial implementation will use the aspect version's number, however stored as + * a string in the case where a different aspect versioning scheme is later adopted. + */ + version: optional string } diff --git a/metadata-models/src/main/pegasus/com/linkedin/query/QueryUsageStatistics.pdl b/metadata-models/src/main/pegasus/com/linkedin/query/QueryUsageStatistics.pdl new file mode 100644 index 00000000000000..275077e5e6a475 --- /dev/null +++ b/metadata-models/src/main/pegasus/com/linkedin/query/QueryUsageStatistics.pdl @@ -0,0 +1,43 @@ +namespace com.linkedin.query + +import com.linkedin.timeseries.TimeseriesAspectBase +import com.linkedin.dataset.DatasetUserUsageCounts + +/** + * Stats corresponding to dataset's usage. + */ +@Aspect = { + "name": "queryUsageStatistics", + "type": "timeseries", +} +record QueryUsageStatistics includes TimeseriesAspectBase { + /** + * Total query count in this bucket + */ + @TimeseriesField = {} + queryCount: optional int + + /** + * Query cost for this query and bucket + */ + @TimeseriesField = {} + queryCost: optional double + + /** + * Last executed timestamp + */ + @TimeseriesField = {} + lastExecutedAt: optional long + + /** + * Unique user count + */ + @TimeseriesField = {} + uniqueUserCount: optional int + + /** + * Users within this bucket, with frequency counts + */ + @TimeseriesFieldCollection = {"key":"user"} + userCounts: optional array[DatasetUserUsageCounts] +} diff --git a/metadata-models/src/main/resources/entity-registry.yml b/metadata-models/src/main/resources/entity-registry.yml index 6a6683418bf386..c8344b7de1e127 100644 --- a/metadata-models/src/main/resources/entity-registry.yml +++ b/metadata-models/src/main/resources/entity-registry.yml @@ -504,6 +504,7 @@ entities: aspects: - queryProperties - querySubjects + - queryUsageStatistics - status - dataPlatformInstance - subTypes @@ -619,6 +620,18 @@ plugins: supportedEntityAspectNames: - entityName: '*' aspectName: '*' + - className: 'com.linkedin.metadata.aspect.validation.ConditionalWriteValidator' + enabled: true + supportedOperations: + - CREATE + - CREATE_ENTITY + - DELETE + - UPSERT + - UPDATE + - PATCH + supportedEntityAspectNames: + - entityName: '*' + aspectName: '*' mcpSideEffects: - className: 'com.linkedin.metadata.structuredproperties.hooks.PropertyDefinitionDeleteSideEffect' packageScan: diff --git a/metadata-operation-context/src/main/java/io/datahubproject/test/metadata/context/TestOperationContexts.java b/metadata-operation-context/src/main/java/io/datahubproject/test/metadata/context/TestOperationContexts.java index 0e8c165468a4b4..e54c040fe13b58 100644 --- a/metadata-operation-context/src/main/java/io/datahubproject/test/metadata/context/TestOperationContexts.java +++ b/metadata-operation-context/src/main/java/io/datahubproject/test/metadata/context/TestOperationContexts.java @@ -10,6 +10,7 @@ import com.linkedin.entity.Aspect; import com.linkedin.metadata.aspect.AspectRetriever; import com.linkedin.metadata.aspect.GraphRetriever; +import com.linkedin.metadata.aspect.SystemAspect; import com.linkedin.metadata.aspect.models.graph.RelatedEntitiesScrollResult; import com.linkedin.metadata.entity.SearchRetriever; import com.linkedin.metadata.models.registry.ConfigEntityRegistry; @@ -269,6 +270,13 @@ public Map> getLatestAspectObjects( return Map.of(); } + @Nonnull + @Override + public Map> getLatestSystemAspects( + Map> urnAspectNames) { + return Map.of(); + } + @Nonnull @Override public EntityRegistry getEntityRegistry() { diff --git a/metadata-service/configuration/src/main/resources/application.yaml b/metadata-service/configuration/src/main/resources/application.yaml index 57dff4918ea950..599f7e7be344fd 100644 --- a/metadata-service/configuration/src/main/resources/application.yaml +++ b/metadata-service/configuration/src/main/resources/application.yaml @@ -370,7 +370,7 @@ featureFlags: nestedDomainsEnabled: ${NESTED_DOMAINS_ENABLED:true} # Enables the nested Domains feature that allows users to have sub-Domains. If this is off, Domains appear "flat" again schemaFieldEntityFetchEnabled: ${SCHEMA_FIELD_ENTITY_FETCH_ENABLED:true} # Enables fetching for schema field entities from the database when we hydrate them on schema fields businessAttributeEntityEnabled: ${BUSINESS_ATTRIBUTE_ENTITY_ENABLED:false} # Enables business attribute entity which can be associated with field of dataset - dataContractsEnabled: ${DATA_CONTRACTS_ENABLED:false} # Enables the Data Contracts feature (Tab) in the UI + dataContractsEnabled: ${DATA_CONTRACTS_ENABLED:true} # Enables the Data Contracts feature (Tab) in the UI entityChangeEvents: enabled: ${ENABLE_ENTITY_CHANGE_EVENTS_HOOK:true} diff --git a/metadata-service/factories/src/main/java/com/linkedin/gms/factory/entity/DeleteEntityServiceFactory.java b/metadata-service/factories/src/main/java/com/linkedin/gms/factory/entity/DeleteEntityServiceFactory.java index 6bc2d3c7be63f9..11eb75009dc090 100644 --- a/metadata-service/factories/src/main/java/com/linkedin/gms/factory/entity/DeleteEntityServiceFactory.java +++ b/metadata-service/factories/src/main/java/com/linkedin/gms/factory/entity/DeleteEntityServiceFactory.java @@ -3,6 +3,7 @@ import com.linkedin.metadata.entity.DeleteEntityService; import com.linkedin.metadata.entity.EntityService; import com.linkedin.metadata.graph.GraphService; +import com.linkedin.metadata.search.EntitySearchService; import javax.annotation.Nonnull; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.beans.factory.annotation.Qualifier; @@ -21,9 +22,13 @@ public class DeleteEntityServiceFactory { @Qualifier("graphService") private GraphService _graphService; + @Autowired + @Qualifier("entitySearchService") + private EntitySearchService _entitySearchService; + @Bean(name = "deleteEntityService") @Nonnull protected DeleteEntityService createDeleteEntityService() { - return new DeleteEntityService(_entityService, _graphService); + return new DeleteEntityService(_entityService, _graphService, _entitySearchService); } } diff --git a/metadata-service/openapi-entity-servlet/src/main/java/io/datahubproject/openapi/v2/delegates/EntityApiDelegateImpl.java b/metadata-service/openapi-entity-servlet/src/main/java/io/datahubproject/openapi/v2/delegates/EntityApiDelegateImpl.java index 12caba3e39dd68..9e671bfb7e01e5 100644 --- a/metadata-service/openapi-entity-servlet/src/main/java/io/datahubproject/openapi/v2/delegates/EntityApiDelegateImpl.java +++ b/metadata-service/openapi-entity-servlet/src/main/java/io/datahubproject/openapi/v2/delegates/EntityApiDelegateImpl.java @@ -70,12 +70,16 @@ import javax.annotation.Nullable; import javax.validation.Valid; import javax.validation.constraints.Min; +import lombok.Getter; +import lombok.Setter; +import lombok.experimental.Accessors; import lombok.extern.slf4j.Slf4j; import org.springframework.http.HttpEntity; import org.springframework.http.HttpStatus; import org.springframework.http.ResponseEntity; @Slf4j +@Accessors(chain = true) public class EntityApiDelegateImpl { private final OperationContext systemOperationContext; private final EntityRegistry _entityRegistry; @@ -86,7 +90,7 @@ public class EntityApiDelegateImpl { private final Class _reqClazz; private final Class _respClazz; private final Class _scrollRespClazz; - private final HttpServletRequest request; + @Setter @Getter private HttpServletRequest request; private static final String BUSINESS_ATTRIBUTE_ERROR_MESSAGE = "business attribute is disabled, enable it using featureflag : BUSINESS_ATTRIBUTE_ENTITY_ENABLED"; diff --git a/metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/client/OpenApiClient.java b/metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/client/OpenApiClient.java index 267d95f1dddbfb..bdea174faa2430 100644 --- a/metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/client/OpenApiClient.java +++ b/metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/client/OpenApiClient.java @@ -2,8 +2,8 @@ import com.fasterxml.jackson.databind.ObjectMapper; import io.datahubproject.metadata.context.OperationContext; -import io.datahubproject.openapi.v2.models.BatchGetUrnRequest; -import io.datahubproject.openapi.v2.models.BatchGetUrnResponse; +import io.datahubproject.openapi.v2.models.BatchGetUrnRequestV2; +import io.datahubproject.openapi.v2.models.BatchGetUrnResponseV2; import java.io.ByteArrayOutputStream; import java.io.IOException; import java.io.InputStream; @@ -40,15 +40,16 @@ public OpenApiClient( this.systemOperationContext = systemOperationContext; } - public BatchGetUrnResponse getBatchUrnsSystemAuth(String entityName, BatchGetUrnRequest request) { + public BatchGetUrnResponseV2 getBatchUrnsSystemAuth( + String entityName, BatchGetUrnRequestV2 request) { return getBatchUrns( entityName, request, systemOperationContext.getSystemAuthentication().get().getCredentials()); } - public BatchGetUrnResponse getBatchUrns( - String entityName, BatchGetUrnRequest request, String authCredentials) { + public BatchGetUrnResponseV2 getBatchUrns( + String entityName, BatchGetUrnRequestV2 request, String authCredentials) { String url = (useSsl ? "https://" : "http://") + gmsHost + ":" + gmsPort + OPENAPI_PATH + entityName; HttpPost httpPost = new HttpPost(url); @@ -65,8 +66,8 @@ public BatchGetUrnResponse getBatchUrns( } } - private static BatchGetUrnResponse mapResponse(ClassicHttpResponse response) { - BatchGetUrnResponse serializedResponse; + private static BatchGetUrnResponseV2 mapResponse(ClassicHttpResponse response) { + BatchGetUrnResponseV2 serializedResponse; try { ByteArrayOutputStream result = new ByteArrayOutputStream(); InputStream contentStream = response.getEntity().getContent(); @@ -78,7 +79,7 @@ private static BatchGetUrnResponse mapResponse(ClassicHttpResponse response) { } serializedResponse = OBJECT_MAPPER.readValue( - result.toString(StandardCharsets.UTF_8), BatchGetUrnResponse.class); + result.toString(StandardCharsets.UTF_8), BatchGetUrnResponseV2.class); } catch (IOException e) { log.error("Wasn't able to convert response into expected type.", e); throw new RuntimeException(e); diff --git a/metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/models/GenericAspect.java b/metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/models/GenericAspect.java new file mode 100644 index 00000000000000..eb558644004943 --- /dev/null +++ b/metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/models/GenericAspect.java @@ -0,0 +1,16 @@ +package io.datahubproject.openapi.models; + +import java.util.Map; +import javax.annotation.Nonnull; +import javax.annotation.Nullable; + +public interface GenericAspect { + @Nonnull + Map getValue(); + + @Nullable + Map getSystemMetadata(); + + @Nullable + Map getHeaders(); +} diff --git a/metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/models/GenericEntity.java b/metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/models/GenericEntity.java index f25f8b89f80267..fcb626ca60fc1e 100644 --- a/metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/models/GenericEntity.java +++ b/metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/models/GenericEntity.java @@ -2,6 +2,6 @@ import java.util.Map; -public interface GenericEntity { - Map getAspects(); +public interface GenericEntity { + Map getAspects(); } diff --git a/metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/models/GenericEntityScrollResult.java b/metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/models/GenericEntityScrollResult.java index 69b97956e0cf2f..59ea624e05c70b 100644 --- a/metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/models/GenericEntityScrollResult.java +++ b/metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/models/GenericEntityScrollResult.java @@ -1,3 +1,3 @@ package io.datahubproject.openapi.models; -public interface GenericEntityScrollResult {} +public interface GenericEntityScrollResult> {} diff --git a/metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/v2/models/BatchGetUrnRequest.java b/metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/v2/models/BatchGetUrnRequestV2.java similarity index 86% rename from metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/v2/models/BatchGetUrnRequest.java rename to metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/v2/models/BatchGetUrnRequestV2.java index 02afe8d40dd528..bb3bcd29abda7c 100644 --- a/metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/v2/models/BatchGetUrnRequest.java +++ b/metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/v2/models/BatchGetUrnRequestV2.java @@ -13,9 +13,9 @@ @Value @EqualsAndHashCode @Builder -@JsonDeserialize(builder = BatchGetUrnRequest.BatchGetUrnRequestBuilder.class) +@JsonDeserialize(builder = BatchGetUrnRequestV2.BatchGetUrnRequestV2Builder.class) @JsonInclude(JsonInclude.Include.NON_NULL) -public class BatchGetUrnRequest implements Serializable { +public class BatchGetUrnRequestV2 implements Serializable { @JsonProperty("urns") @Schema(required = true, description = "The list of urns to get.") List urns; diff --git a/metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/v2/models/BatchGetUrnResponse.java b/metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/v2/models/BatchGetUrnResponseV2.java similarity index 60% rename from metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/v2/models/BatchGetUrnResponse.java rename to metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/v2/models/BatchGetUrnResponseV2.java index c1fd809ad3649d..391a1e8627642f 100644 --- a/metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/v2/models/BatchGetUrnResponse.java +++ b/metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/v2/models/BatchGetUrnResponseV2.java @@ -3,6 +3,8 @@ import com.fasterxml.jackson.annotation.JsonInclude; import com.fasterxml.jackson.annotation.JsonProperty; import com.fasterxml.jackson.databind.annotation.JsonDeserialize; +import io.datahubproject.openapi.models.GenericAspect; +import io.datahubproject.openapi.models.GenericEntity; import io.swagger.v3.oas.annotations.media.Schema; import java.io.Serializable; import java.util.List; @@ -12,9 +14,10 @@ @Value @Builder @JsonInclude(JsonInclude.Include.NON_NULL) -@JsonDeserialize(builder = BatchGetUrnResponse.BatchGetUrnResponseBuilder.class) -public class BatchGetUrnResponse implements Serializable { +@JsonDeserialize(builder = BatchGetUrnResponseV2.BatchGetUrnResponseV2Builder.class) +public class BatchGetUrnResponseV2> + implements Serializable { @JsonProperty("entities") @Schema(description = "List of entity responses") - List entities; + List entities; } diff --git a/metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/v2/models/GenericAspectV2.java b/metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/v2/models/GenericAspectV2.java new file mode 100644 index 00000000000000..dd50f8d8b2a5e8 --- /dev/null +++ b/metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/v2/models/GenericAspectV2.java @@ -0,0 +1,32 @@ +package io.datahubproject.openapi.v2.models; + +import io.datahubproject.openapi.models.GenericAspect; +import java.util.LinkedHashMap; +import java.util.Map; +import javax.annotation.Nonnull; +import javax.annotation.Nullable; + +public class GenericAspectV2 extends LinkedHashMap implements GenericAspect { + + public GenericAspectV2(Map m) { + super(m); + } + + @Nonnull + @Override + public Map getValue() { + return this; + } + + @Nullable + @Override + public Map getSystemMetadata() { + return null; + } + + @Nullable + @Override + public Map getHeaders() { + return null; + } +} diff --git a/metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/v2/models/GenericEntityScrollResultV2.java b/metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/v2/models/GenericEntityScrollResultV2.java index 685f45c60dbdc8..221c4a519168c4 100644 --- a/metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/v2/models/GenericEntityScrollResultV2.java +++ b/metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/v2/models/GenericEntityScrollResultV2.java @@ -1,6 +1,5 @@ package io.datahubproject.openapi.v2.models; -import io.datahubproject.openapi.models.GenericEntity; import io.datahubproject.openapi.models.GenericEntityScrollResult; import java.util.List; import lombok.Builder; @@ -8,8 +7,8 @@ @Data @Builder -public class GenericEntityScrollResultV2 - implements GenericEntityScrollResult { +public class GenericEntityScrollResultV2 + implements GenericEntityScrollResult { private String scrollId; - private List results; + private List results; } diff --git a/metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/v2/models/GenericEntityV2.java b/metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/v2/models/GenericEntityV2.java index 85d404fb57e0e3..83c23f3552409b 100644 --- a/metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/v2/models/GenericEntityV2.java +++ b/metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/v2/models/GenericEntityV2.java @@ -24,20 +24,20 @@ @JsonInclude(JsonInclude.Include.NON_NULL) @NoArgsConstructor(force = true, access = AccessLevel.PRIVATE) @AllArgsConstructor -public class GenericEntityV2 implements GenericEntity { +public class GenericEntityV2 implements GenericEntity { @JsonProperty("urn") @Schema(description = "Urn of the entity") private String urn; @JsonProperty("aspects") @Schema(description = "Map of aspect name to aspect") - private Map aspects; + private Map aspects; public static class GenericEntityV2Builder { public GenericEntityV2 build( ObjectMapper objectMapper, Map> aspects) { - Map jsonObjectMap = + Map jsonObjectMap = aspects.entrySet().stream() .map( e -> { @@ -52,11 +52,14 @@ public GenericEntityV2 build( if (e.getValue().getSecond() != null) { return Map.entry( e.getKey(), - Map.of( - "systemMetadata", e.getValue().getSecond(), - "value", valueMap.get("value"))); + new GenericAspectV2( + Map.of( + "systemMetadata", e.getValue().getSecond(), + "value", valueMap.get("value")))); } else { - return Map.entry(e.getKey(), Map.of("value", valueMap.get("value"))); + return Map.entry( + e.getKey(), + new GenericAspectV2(Map.of("value", valueMap.get("value")))); } } catch (IOException ex) { throw new RuntimeException(ex); diff --git a/metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/v3/models/GenericAspectV3.java b/metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/v3/models/GenericAspectV3.java new file mode 100644 index 00000000000000..4db2c3288d1547 --- /dev/null +++ b/metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/v3/models/GenericAspectV3.java @@ -0,0 +1,22 @@ +package io.datahubproject.openapi.v3.models; + +import com.fasterxml.jackson.annotation.JsonInclude; +import io.datahubproject.openapi.models.GenericAspect; +import java.util.Map; +import javax.annotation.Nonnull; +import javax.annotation.Nullable; +import lombok.AllArgsConstructor; +import lombok.Builder; +import lombok.EqualsAndHashCode; +import lombok.Value; + +@EqualsAndHashCode +@Value +@Builder +@JsonInclude(JsonInclude.Include.NON_NULL) +@AllArgsConstructor +public class GenericAspectV3 implements GenericAspect { + @Nonnull Map value; + @Nullable Map systemMetadata; + @Nullable Map headers; +} diff --git a/metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/v3/models/GenericEntityScrollResultV3.java b/metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/v3/models/GenericEntityScrollResultV3.java index 265095f0f2c6e8..b2d096e8140bd2 100644 --- a/metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/v3/models/GenericEntityScrollResultV3.java +++ b/metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/v3/models/GenericEntityScrollResultV3.java @@ -1,6 +1,5 @@ package io.datahubproject.openapi.v3.models; -import io.datahubproject.openapi.models.GenericEntity; import io.datahubproject.openapi.models.GenericEntityScrollResult; import java.util.List; import lombok.Builder; @@ -8,8 +7,8 @@ @Data @Builder -public class GenericEntityScrollResultV3 - implements GenericEntityScrollResult { +public class GenericEntityScrollResultV3 + implements GenericEntityScrollResult { private String scrollId; - private List entities; + private List entities; } diff --git a/metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/v3/models/GenericEntityV3.java b/metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/v3/models/GenericEntityV3.java index 2e030390dd9cbd..3af3b25028fadc 100644 --- a/metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/v3/models/GenericEntityV3.java +++ b/metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/v3/models/GenericEntityV3.java @@ -2,6 +2,7 @@ import com.datahub.util.RecordUtils; import com.fasterxml.jackson.annotation.JsonInclude; +import com.fasterxml.jackson.core.type.TypeReference; import com.fasterxml.jackson.databind.ObjectMapper; import com.linkedin.common.urn.Urn; import com.linkedin.data.template.RecordTemplate; @@ -24,15 +25,18 @@ @Builder @JsonInclude(JsonInclude.Include.NON_NULL) @AllArgsConstructor -public class GenericEntityV3 extends LinkedHashMap implements GenericEntity { +public class GenericEntityV3 extends LinkedHashMap + implements GenericEntity { public GenericEntityV3(Map m) { super(m); } @Override - public Map getAspects() { - return this; + public Map getAspects() { + return this.entrySet().stream() + .filter(entry -> !"urn".equals(entry.getKey())) + .collect(Collectors.toMap(Map.Entry::getKey, entry -> (GenericAspectV3) entry.getValue())); } public static class GenericEntityV3Builder { @@ -41,27 +45,29 @@ public GenericEntityV3 build( ObjectMapper objectMapper, @Nonnull Urn urn, Map> aspects) { - Map jsonObjectMap = + Map jsonObjectMap = aspects.entrySet().stream() .map( - e -> { + entry -> { try { - Map valueMap = - Map.of( - "value", - objectMapper.readTree( - RecordUtils.toJsonString(e.getValue().getFirst()) - .getBytes(StandardCharsets.UTF_8))); + String aspectName = entry.getKey(); + Map aspectValue = + objectMapper.readValue( + RecordUtils.toJsonString(entry.getValue().getFirst()) + .getBytes(StandardCharsets.UTF_8), + new TypeReference<>() {}); + Map systemMetadata = + entry.getValue().getSecond() != null + ? objectMapper.convertValue( + entry.getValue().getSecond(), new TypeReference<>() {}) + : null; - if (e.getValue().getSecond() != null) { - return Map.entry( - e.getKey(), - Map.of( - "systemMetadata", e.getValue().getSecond(), - "value", valueMap.get("value"))); - } else { - return Map.entry(e.getKey(), Map.of("value", valueMap.get("value"))); - } + return Map.entry( + aspectName, + GenericAspectV3.builder() + .value(aspectValue) + .systemMetadata(systemMetadata) + .build()); } catch (IOException ex) { throw new RuntimeException(ex); } diff --git a/metadata-service/openapi-servlet/src/main/java/io/datahubproject/openapi/controller/GenericEntitiesController.java b/metadata-service/openapi-servlet/src/main/java/io/datahubproject/openapi/controller/GenericEntitiesController.java index 30988d81db2f9a..c91c8ac987e5c9 100644 --- a/metadata-service/openapi-servlet/src/main/java/io/datahubproject/openapi/controller/GenericEntitiesController.java +++ b/metadata-service/openapi-servlet/src/main/java/io/datahubproject/openapi/controller/GenericEntitiesController.java @@ -48,6 +48,7 @@ import io.datahubproject.metadata.context.RequestContext; import io.datahubproject.openapi.exception.InvalidUrnException; import io.datahubproject.openapi.exception.UnauthorizedException; +import io.datahubproject.openapi.models.GenericAspect; import io.datahubproject.openapi.models.GenericEntity; import io.datahubproject.openapi.models.GenericEntityScrollResult; import io.swagger.v3.oas.annotations.Operation; @@ -56,11 +57,8 @@ import java.lang.reflect.InvocationTargetException; import java.net.URISyntaxException; import java.nio.charset.StandardCharsets; -import java.util.List; -import java.util.Map; -import java.util.Set; +import java.util.*; import java.util.stream.Collectors; -import java.util.stream.Stream; import javax.annotation.Nonnull; import javax.annotation.Nullable; import org.springframework.beans.factory.annotation.Autowired; @@ -78,7 +76,9 @@ import org.springframework.web.bind.annotation.RequestParam; public abstract class GenericEntitiesController< - E extends GenericEntity, S extends GenericEntityScrollResult> { + A extends GenericAspect, + E extends GenericEntity, + S extends GenericEntityScrollResult> { public static final String NOT_FOUND_HEADER = "Not-Found-Reason"; protected static final SearchFlags DEFAULT_SEARCH_FLAGS = new SearchFlags().setFulltext(false).setSkipAggregates(true).setSkipHighlighting(true); @@ -111,11 +111,39 @@ protected abstract S buildScrollResult( @Nullable String scrollId) throws URISyntaxException; - protected abstract List buildEntityList( + protected List buildEntityList( @Nonnull OperationContext opContext, List urns, Set aspectNames, boolean withSystemMetadata) + throws URISyntaxException { + + LinkedHashMap> versionMap = + resolveAspectNames( + urns.stream() + .map( + urn -> + Map.entry( + urn, + aspectNames.stream() + .map(aspectName -> Map.entry(aspectName, 0L)) + .collect(Collectors.toMap(Map.Entry::getKey, Map.Entry::getValue)))) + .collect( + Collectors.toMap( + Map.Entry::getKey, + Map.Entry::getValue, + (a, b) -> { + throw new IllegalStateException("Duplicate key"); + }, + LinkedHashMap::new)), + 0L); + return buildEntityVersionedAspectList(opContext, versionMap, withSystemMetadata); + } + + protected abstract List buildEntityVersionedAspectList( + @Nonnull OperationContext opContext, + LinkedHashMap> urnAspectVersions, + boolean withSystemMetadata) throws URISyntaxException; protected abstract List buildEntityList( @@ -147,7 +175,9 @@ public ResponseEntity getEntities( @RequestParam(value = "systemMetadata", required = false, defaultValue = "false") Boolean withSystemMetadata, @RequestParam(value = "skipCache", required = false, defaultValue = "false") - Boolean skipCache) + Boolean skipCache, + @RequestParam(value = "includeSoftDelete", required = false, defaultValue = "false") + Boolean includeSoftDelete) throws URISyntaxException { EntitySpec entitySpec = entityRegistry.getEntitySpec(entityName); @@ -175,7 +205,8 @@ public ResponseEntity getEntities( searchService.scrollAcrossEntities( opContext .withSearchFlags(flags -> DEFAULT_SEARCH_FLAGS) - .withSearchFlags(flags -> flags.setSkipCache(skipCache)), + .withSearchFlags(flags -> flags.setSkipCache(skipCache)) + .withSearchFlags(flags -> flags.setIncludeSoftDeleted(includeSoftDelete)), List.of(entitySpec.getName()), query, null, @@ -279,11 +310,12 @@ public ResponseEntity headEntity( value = "/{entityName}/{entityUrn:urn:li:.+}/{aspectName}", produces = MediaType.APPLICATION_JSON_VALUE) @Operation(summary = "Get an entity's generic aspect.") - public ResponseEntity getAspect( + public ResponseEntity getAspect( HttpServletRequest request, @PathVariable("entityName") String entityName, @PathVariable("entityUrn") String entityUrn, @PathVariable("aspectName") String aspectName, + @RequestParam(value = "version", required = false, defaultValue = "0") Long version, @RequestParam(value = "systemMetadata", required = false, defaultValue = "false") Boolean withSystemMetadata) throws URISyntaxException { @@ -305,13 +337,23 @@ public ResponseEntity getAspect( authentication, true); - return buildEntityList(opContext, List.of(urn), Set.of(aspectName), withSystemMetadata).stream() + final List resultList; + if (version == 0) { + resultList = buildEntityList(opContext, List.of(urn), Set.of(aspectName), withSystemMetadata); + } else { + resultList = + buildEntityVersionedAspectList( + opContext, + new LinkedHashMap<>(Map.of(urn, Map.of(aspectName, version))), + withSystemMetadata); + } + + return resultList.stream() .findFirst() .flatMap( e -> e.getAspects().entrySet().stream() - .filter( - entry -> entry.getKey().equals(lookupAspectSpec(urn, aspectName).getName())) + .filter(entry -> entry.getKey().equalsIgnoreCase(aspectName)) .map(Map.Entry::getValue) .findFirst()) .map(ResponseEntity::ok) @@ -602,23 +644,62 @@ protected Boolean exists( opContext, urn, aspect, includeSoftDelete != null ? includeSoftDelete : false); } - protected Set resolveAspectNames(Set urns, Set requestedAspectNames) { - if (requestedAspectNames.isEmpty()) { - return urns.stream() - .flatMap(u -> entityRegistry.getEntitySpec(u.getEntityType()).getAspectSpecs().stream()) - .collect(Collectors.toSet()); - } else { - // ensure key is always present - return Stream.concat( - urns.stream() - .flatMap( - urn -> - requestedAspectNames.stream() - .map(aspectName -> lookupAspectSpec(urn, aspectName))), - urns.stream() - .map(u -> entityRegistry.getEntitySpec(u.getEntityType()).getKeyAspectSpec())) - .collect(Collectors.toSet()); - } + /** + * Given a map with aspect names from the API, normalized them into actual aspect names (casing + * fixes) + * + * @param requestedAspectNames requested aspects + * @return updated map + * @param map values + */ + protected LinkedHashMap> resolveAspectNames( + LinkedHashMap> requestedAspectNames, @Nonnull T defaultValue) { + return requestedAspectNames.entrySet().stream() + .map( + entry -> { + final Urn urn = entry.getKey(); + if (entry.getValue().isEmpty() || entry.getValue().containsKey("")) { + // All aspects specified + Set allNames = + entityRegistry.getEntitySpec(urn.getEntityType()).getAspectSpecs().stream() + .map(AspectSpec::getName) + .collect(Collectors.toSet()); + return Map.entry( + urn, + allNames.stream() + .map( + aspectName -> + Map.entry( + aspectName, entry.getValue().getOrDefault("", defaultValue))) + .collect(Collectors.toMap(Map.Entry::getKey, Map.Entry::getValue))); + } else { + final Map normalizedNames = + entry.getValue().keySet().stream() + .map( + requestAspectName -> + Map.entry( + requestAspectName, + lookupAspectSpec(urn, requestAspectName).getName())) + .collect(Collectors.toMap(Map.Entry::getKey, Map.Entry::getValue)); + return Map.entry( + urn, + entry.getValue().entrySet().stream() + .filter(reqEntry -> normalizedNames.containsKey(reqEntry.getKey())) + .map( + reqEntry -> + Map.entry( + normalizedNames.get(reqEntry.getKey()), reqEntry.getValue())) + .collect(Collectors.toMap(Map.Entry::getKey, Map.Entry::getValue))); + } + }) + .collect( + Collectors.toMap( + Map.Entry::getKey, + Map.Entry::getValue, + (a, b) -> { + throw new IllegalStateException("Duplicate key"); + }, + LinkedHashMap::new)); } protected Map> toAspectMap( diff --git a/metadata-service/openapi-servlet/src/main/java/io/datahubproject/openapi/v2/controller/EntityController.java b/metadata-service/openapi-servlet/src/main/java/io/datahubproject/openapi/v2/controller/EntityController.java index b40aba2d2908fc..54a7724cadd345 100644 --- a/metadata-service/openapi-servlet/src/main/java/io/datahubproject/openapi/v2/controller/EntityController.java +++ b/metadata-service/openapi-servlet/src/main/java/io/datahubproject/openapi/v2/controller/EntityController.java @@ -32,8 +32,9 @@ import io.datahubproject.openapi.controller.GenericEntitiesController; import io.datahubproject.openapi.exception.InvalidUrnException; import io.datahubproject.openapi.exception.UnauthorizedException; -import io.datahubproject.openapi.v2.models.BatchGetUrnRequest; -import io.datahubproject.openapi.v2.models.BatchGetUrnResponse; +import io.datahubproject.openapi.v2.models.BatchGetUrnRequestV2; +import io.datahubproject.openapi.v2.models.BatchGetUrnResponseV2; +import io.datahubproject.openapi.v2.models.GenericAspectV2; import io.datahubproject.openapi.v2.models.GenericEntityScrollResultV2; import io.datahubproject.openapi.v2.models.GenericEntityV2; import io.swagger.v3.oas.annotations.Operation; @@ -44,6 +45,7 @@ import java.util.ArrayList; import java.util.HashSet; import java.util.Iterator; +import java.util.LinkedHashMap; import java.util.LinkedList; import java.util.List; import java.util.Map; @@ -68,29 +70,15 @@ @Slf4j public class EntityController extends GenericEntitiesController< - GenericEntityV2, GenericEntityScrollResultV2> { - - @Override - public GenericEntityScrollResultV2 buildScrollResult( - @Nonnull OperationContext opContext, - SearchEntityArray searchEntities, - Set aspectNames, - boolean withSystemMetadata, - @Nullable String scrollId) - throws URISyntaxException { - return GenericEntityScrollResultV2.builder() - .results(toRecordTemplates(opContext, searchEntities, aspectNames, withSystemMetadata)) - .scrollId(scrollId) - .build(); - } + GenericAspectV2, GenericEntityV2, GenericEntityScrollResultV2> { @Tag(name = "Generic Entities") @PostMapping(value = "/batch/{entityName}", produces = MediaType.APPLICATION_JSON_VALUE) @Operation(summary = "Get a batch of entities") - public ResponseEntity getEntityBatch( + public ResponseEntity> getEntityBatch( HttpServletRequest httpServletRequest, @PathVariable("entityName") String entityName, - @RequestBody BatchGetUrnRequest request) + @RequestBody BatchGetUrnRequestV2 request) throws URISyntaxException { List urns = request.getUrns().stream().map(UrnUtils::getUrn).collect(Collectors.toList()); @@ -115,7 +103,7 @@ public ResponseEntity getEntityBatch( return ResponseEntity.of( Optional.of( - BatchGetUrnResponse.builder() + BatchGetUrnResponseV2.builder() .entities( new ArrayList<>( buildEntityList( @@ -126,6 +114,20 @@ public ResponseEntity getEntityBatch( .build())); } + @Override + public GenericEntityScrollResultV2 buildScrollResult( + @Nonnull OperationContext opContext, + SearchEntityArray searchEntities, + Set aspectNames, + boolean withSystemMetadata, + @Nullable String scrollId) + throws URISyntaxException { + return GenericEntityScrollResultV2.builder() + .results(toRecordTemplates(opContext, searchEntities, aspectNames, withSystemMetadata)) + .scrollId(scrollId) + .build(); + } + @Override protected AspectsBatch toMCPBatch( @Nonnull OperationContext opContext, String entityArrayList, Actor actor) @@ -184,35 +186,24 @@ protected AspectsBatch toMCPBatch( } @Override - protected List buildEntityList( + protected List buildEntityVersionedAspectList( @Nonnull OperationContext opContext, - List urns, - Set aspectNames, + LinkedHashMap> urnAspectVersions, boolean withSystemMetadata) throws URISyntaxException { - if (urns.isEmpty()) { - return List.of(); - } else { - Set urnsSet = new HashSet<>(urns); - - Map> aspects = - entityService.getLatestEnvelopedAspects( - opContext, - urnsSet, - resolveAspectNames(urnsSet, aspectNames).stream() - .map(AspectSpec::getName) - .collect(Collectors.toSet())); + Map> aspects = + entityService.getEnvelopedVersionedAspects( + opContext, resolveAspectNames(urnAspectVersions, 0L), true); - return urns.stream() - .map( - u -> - GenericEntityV2.builder() - .urn(u.toString()) - .build( - objectMapper, - toAspectMap(u, aspects.getOrDefault(u, List.of()), withSystemMetadata))) - .collect(Collectors.toList()); - } + return urnAspectVersions.keySet().stream() + .map( + u -> + GenericEntityV2.builder() + .urn(u.toString()) + .build( + objectMapper, + toAspectMap(u, aspects.getOrDefault(u, List.of()), withSystemMetadata))) + .collect(Collectors.toList()); } @Override diff --git a/metadata-service/openapi-servlet/src/main/java/io/datahubproject/openapi/v3/OpenAPIV3Generator.java b/metadata-service/openapi-servlet/src/main/java/io/datahubproject/openapi/v3/OpenAPIV3Generator.java index 93ad502c9f7d68..3a93eb304b8f80 100644 --- a/metadata-service/openapi-servlet/src/main/java/io/datahubproject/openapi/v3/OpenAPIV3Generator.java +++ b/metadata-service/openapi-servlet/src/main/java/io/datahubproject/openapi/v3/OpenAPIV3Generator.java @@ -41,6 +41,7 @@ public class OpenAPIV3Generator { private static final String NAME_PATH = "path"; private static final String NAME_SYSTEM_METADATA = "systemMetadata"; private static final String NAME_ASYNC = "async"; + private static final String NAME_VERSION = "version"; private static final String NAME_SCROLL_ID = "scrollId"; private static final String NAME_INCLUDE_SOFT_DELETE = "includeSoftDelete"; private static final String PROPERTY_VALUE = "value"; @@ -57,6 +58,7 @@ public class OpenAPIV3Generator { private static final String ASPECT_RESPONSE_SUFFIX = "Aspect" + RESPONSE_SUFFIX; private static final String ENTITY_REQUEST_SUFFIX = "Entity" + REQUEST_SUFFIX; private static final String ENTITY_RESPONSE_SUFFIX = "Entity" + RESPONSE_SUFFIX; + private static final String NAME_SKIP_CACHE = "skipCache"; public static OpenAPI generateOpenApiSpec(EntityRegistry entityRegistry) { final Set aspectNames = entityRegistry.getAspectSpecs().keySet(); @@ -106,6 +108,9 @@ public static OpenAPI generateOpenApiSpec(EntityRegistry entityRegistry) { entityName + ENTITY_RESPONSE_SUFFIX, buildEntitySchema(e, aspectNames, true)); components.addSchemas( "Scroll" + entityName + ENTITY_RESPONSE_SUFFIX, buildEntityScrollSchema(e)); + components.addSchemas( + "BatchGet" + entityName + ENTITY_REQUEST_SUFFIX, + buildEntityBatchGetRequestSchema(e, aspectNames)); }); // Parameters entityRegistry.getEntitySpecs().values().stream() @@ -126,6 +131,9 @@ public static OpenAPI generateOpenApiSpec(EntityRegistry entityRegistry) { paths.addPathItem( String.format("/v3/entity/%s", e.getName().toLowerCase()), buildListEntityPath(e)); + paths.addPathItem( + String.format("/v3/entity/%s/batchGet", e.getName().toLowerCase()), + buildBatchGetEntityPath(e)); paths.addPathItem( String.format("/v3/entity/%s/{urn}", e.getName().toLowerCase()), buildSingleEntityPath(e)); @@ -249,9 +257,19 @@ private static PathItem buildListEntityPath(final EntitySpec entity) { List.of( new Parameter() .in(NAME_QUERY) - .name("systemMetadata") + .name(NAME_SYSTEM_METADATA) .description("Include systemMetadata with response.") .schema(new Schema().type(TYPE_BOOLEAN)._default(false)), + new Parameter() + .in(NAME_QUERY) + .name(NAME_INCLUDE_SOFT_DELETE) + .description("Include soft-deleted aspects with response.") + .schema(new Schema().type(TYPE_BOOLEAN)._default(false)), + new Parameter() + .in(NAME_QUERY) + .name(NAME_SKIP_CACHE) + .description("Skip cache when listing entities.") + .schema(new Schema().type(TYPE_BOOLEAN)._default(false)), new Parameter() .$ref( String.format( @@ -349,6 +367,62 @@ private static PathItem buildListEntityPath(final EntitySpec entity) { return result; } + private static PathItem buildBatchGetEntityPath(final EntitySpec entity) { + final String upperFirst = toUpperFirst(entity.getName()); + final PathItem result = new PathItem(); + // Post Operation + final Content requestBatch = + new Content() + .addMediaType( + "application/json", + new MediaType() + .schema( + new Schema() + .type(TYPE_ARRAY) + .items( + new Schema() + .$ref( + String.format( + "#/components/schemas/%s%s", + "BatchGet" + upperFirst, ENTITY_REQUEST_SUFFIX))))); + final ApiResponse apiBatchGetResponse = + new ApiResponse() + .description("Get a batch of " + entity.getName() + " entities.") + .content( + new Content() + .addMediaType( + "application/json", + new MediaType() + .schema( + new Schema() + .type(TYPE_ARRAY) + .items( + new Schema<>() + .$ref( + String.format( + "#/components/schemas/%s%s", + upperFirst, ENTITY_RESPONSE_SUFFIX)))))); + result.setPost( + new Operation() + .summary("Batch Get " + upperFirst + " entities.") + .tags(List.of(entity.getName() + " Entity")) + .parameters( + List.of( + new Parameter() + .in(NAME_QUERY) + .name("systemMetadata") + .description("Include systemMetadata with response.") + .schema(new Schema().type(TYPE_BOOLEAN)._default(false)))) + .requestBody( + new RequestBody() + .description("Batch Get " + entity.getName() + " entities.") + .required(true) + .content(requestBatch)) + .responses(new ApiResponses().addApiResponse("200", apiBatchGetResponse))); + + return result; + } + private static void addExtraParameters(final Components components) { components.addParameters( "ScrollId" + MODEL_VERSION, @@ -497,7 +571,30 @@ private static Schema buildAspectRefResponseSchema(final String aspectName) { } private static Schema buildAspectRefRequestSchema(final String aspectName) { - return new Schema<>().$ref(PATH_DEFINITIONS + aspectName); + final Schema result = + new Schema<>() + .type(TYPE_OBJECT) + .description(ASPECT_DESCRIPTION) + .required(List.of(PROPERTY_VALUE)) + .addProperty(PROPERTY_VALUE, new Schema<>().$ref(PATH_DEFINITIONS + aspectName)); + result.addProperty( + "systemMetadata", + new Schema<>() + .type(TYPE_OBJECT) + .allOf(List.of(new Schema().$ref(PATH_DEFINITIONS + "SystemMetadata"))) + .description("System metadata for the aspect.") + .nullable(true)); + + Schema stringTypeSchema = new Schema<>(); + stringTypeSchema.setType(TYPE_STRING); + result.addProperty( + "headers", + new Schema<>() + .type(TYPE_OBJECT) + .additionalProperties(stringTypeSchema) + .description("System headers for the operation.") + .nullable(true)); + return result; } private static Schema buildEntitySchema( @@ -545,6 +642,39 @@ private static Schema buildEntityScrollSchema(final EntitySpec entity) { toUpperFirst(entity.getName()), ENTITY_RESPONSE_SUFFIX)))); } + private static Schema buildEntityBatchGetRequestSchema( + final EntitySpec entity, Set aspectNames) { + + final Schema stringTypeSchema = new Schema<>(); + stringTypeSchema.setType(TYPE_STRING); + final Map headers = + Map.of( + "headers", + new Schema<>() + .type(TYPE_OBJECT) + .additionalProperties(stringTypeSchema) + .description("System headers for the operation.") + .nullable(true)); + + final Map properties = + entity.getAspectSpecMap().entrySet().stream() + .filter(a -> aspectNames.contains(a.getValue().getName())) + .collect( + Collectors.toMap( + Map.Entry::getKey, a -> new Schema().type(TYPE_OBJECT).properties(headers))); + properties.put( + PROPERTY_URN, + new Schema<>().type(TYPE_STRING).description("Unique id for " + entity.getName())); + + properties.put(entity.getKeyAspectName(), new Schema().type(TYPE_OBJECT).properties(headers)); + + return new Schema<>() + .type(TYPE_OBJECT) + .description(toUpperFirst(entity.getName()) + " object.") + .required(List.of(PROPERTY_URN)) + .properties(properties); + } + private static Schema buildAspectRef(final String aspect, final boolean withSystemMetadata) { // A non-required $ref property must be wrapped in a { allOf: [ $ref ] } // object to allow the @@ -605,6 +735,12 @@ private static PathItem buildSingleEntityAspectPath( .name(NAME_SYSTEM_METADATA) .description("Include systemMetadata with response.") .schema(new Schema().type(TYPE_BOOLEAN)._default(false)); + final Parameter versionParameter = + new Parameter() + .in(NAME_QUERY) + .name(NAME_VERSION) + .description("Return a specific aspect version.") + .schema(new Schema().type(TYPE_INTEGER)._default(0).minimum(BigDecimal.ZERO)); final ApiResponse successApiResponse = new ApiResponse() .description("Success") @@ -623,7 +759,7 @@ private static PathItem buildSingleEntityAspectPath( new Operation() .summary(String.format("Get %s for %s.", aspect, entity.getName())) .tags(tags) - .parameters(List.of(getParameter)) + .parameters(List.of(getParameter, versionParameter)) .responses(new ApiResponses().addApiResponse("200", successApiResponse)); // Head Operation final ApiResponse successHeadResponse = diff --git a/metadata-service/openapi-servlet/src/main/java/io/datahubproject/openapi/v3/controller/EntityController.java b/metadata-service/openapi-servlet/src/main/java/io/datahubproject/openapi/v3/controller/EntityController.java index be5558f821d4ff..d6feb6cc460c97 100644 --- a/metadata-service/openapi-servlet/src/main/java/io/datahubproject/openapi/v3/controller/EntityController.java +++ b/metadata-service/openapi-servlet/src/main/java/io/datahubproject/openapi/v3/controller/EntityController.java @@ -1,7 +1,14 @@ package io.datahubproject.openapi.v3.controller; +import static com.linkedin.metadata.aspect.validation.ConditionalWriteValidator.HTTP_HEADER_IF_VERSION_MATCH; +import static com.linkedin.metadata.authorization.ApiOperation.READ; + import com.datahub.authentication.Actor; +import com.datahub.authentication.Authentication; +import com.datahub.authentication.AuthenticationContext; +import com.datahub.authorization.AuthUtil; import com.fasterxml.jackson.core.JsonProcessingException; +import com.fasterxml.jackson.core.type.TypeReference; import com.fasterxml.jackson.databind.JsonNode; import com.fasterxml.jackson.databind.node.ObjectNode; import com.linkedin.common.urn.Urn; @@ -23,24 +30,37 @@ import com.linkedin.mxe.SystemMetadata; import com.linkedin.util.Pair; import io.datahubproject.metadata.context.OperationContext; +import io.datahubproject.metadata.context.RequestContext; import io.datahubproject.openapi.controller.GenericEntitiesController; import io.datahubproject.openapi.exception.InvalidUrnException; +import io.datahubproject.openapi.exception.UnauthorizedException; +import io.datahubproject.openapi.v3.models.GenericAspectV3; import io.datahubproject.openapi.v3.models.GenericEntityScrollResultV3; import io.datahubproject.openapi.v3.models.GenericEntityV3; +import io.swagger.v3.oas.annotations.Operation; +import io.swagger.v3.oas.annotations.tags.Tag; +import jakarta.servlet.http.HttpServletRequest; import java.net.URISyntaxException; import java.nio.charset.StandardCharsets; -import java.util.HashSet; +import java.util.HashMap; import java.util.Iterator; +import java.util.LinkedHashMap; import java.util.LinkedList; import java.util.List; import java.util.Map; +import java.util.Optional; import java.util.Set; import java.util.stream.Collectors; import javax.annotation.Nonnull; import javax.annotation.Nullable; import lombok.RequiredArgsConstructor; import lombok.extern.slf4j.Slf4j; +import org.springframework.http.MediaType; +import org.springframework.http.ResponseEntity; +import org.springframework.web.bind.annotation.PostMapping; +import org.springframework.web.bind.annotation.RequestBody; import org.springframework.web.bind.annotation.RequestMapping; +import org.springframework.web.bind.annotation.RequestParam; import org.springframework.web.bind.annotation.RestController; @RestController("EntityControllerV3") @@ -49,44 +69,74 @@ @Slf4j public class EntityController extends GenericEntitiesController< - GenericEntityV3, GenericEntityScrollResultV3> { + GenericAspectV3, GenericEntityV3, GenericEntityScrollResultV3> { + + @Tag(name = "Generic Entities") + @PostMapping(value = "/{entityName}/batchGet", produces = MediaType.APPLICATION_JSON_VALUE) + @Operation(summary = "Get a batch of entities") + public ResponseEntity> getEntityBatch( + HttpServletRequest httpServletRequest, + @RequestParam(value = "systemMetadata", required = false, defaultValue = "false") + Boolean withSystemMetadata, + @RequestBody @Nonnull String jsonEntityList) + throws URISyntaxException, JsonProcessingException { + + LinkedHashMap> requestMap = toEntityVersionRequest(jsonEntityList); + + Authentication authentication = AuthenticationContext.getAuthentication(); + OperationContext opContext = + OperationContext.asSession( + systemOperationContext, + RequestContext.builder() + .buildOpenapi( + authentication.getActor().toUrnStr(), + httpServletRequest, + "getEntityBatch", + requestMap.keySet().stream() + .map(Urn::getEntityType) + .collect(Collectors.toSet())), + authorizationChain, + authentication, + true); + + if (!AuthUtil.isAPIAuthorizedEntityUrns( + authentication, authorizationChain, READ, requestMap.keySet())) { + throw new UnauthorizedException( + authentication.getActor().toUrnStr() + " is unauthorized to " + READ + " entities."); + } + + return ResponseEntity.of( + Optional.of(buildEntityVersionedAspectList(opContext, requestMap, withSystemMetadata))); + } @Override - public GenericEntityScrollResultV3 buildScrollResult( + public GenericEntityScrollResultV3 buildScrollResult( @Nonnull OperationContext opContext, SearchEntityArray searchEntities, Set aspectNames, boolean withSystemMetadata, @Nullable String scrollId) throws URISyntaxException { - return GenericEntityScrollResultV3.builder() + return GenericEntityScrollResultV3.builder() .entities(toRecordTemplates(opContext, searchEntities, aspectNames, withSystemMetadata)) .scrollId(scrollId) .build(); } @Override - protected List buildEntityList( + protected List buildEntityVersionedAspectList( @Nonnull OperationContext opContext, - List urns, - Set aspectNames, + LinkedHashMap> urnAspectVersions, boolean withSystemMetadata) throws URISyntaxException { - if (urns.isEmpty()) { + if (urnAspectVersions.isEmpty()) { return List.of(); } else { - Set urnsSet = new HashSet<>(urns); - Map> aspects = - entityService.getLatestEnvelopedAspects( - opContext, - urnsSet, - resolveAspectNames(urnsSet, aspectNames).stream() - .map(AspectSpec::getName) - .collect(Collectors.toSet()), - false); - - return urns.stream() + entityService.getEnvelopedVersionedAspects( + opContext, resolveAspectNames(urnAspectVersions, 0L), false); + + return urnAspectVersions.keySet().stream() .filter(urn -> aspects.containsKey(urn) && !aspects.get(urn).isEmpty()) .map( u -> @@ -149,6 +199,62 @@ private List toRecordTemplates( withSystemMetadata); } + private LinkedHashMap> toEntityVersionRequest( + @Nonnull String entityArrayList) throws JsonProcessingException, InvalidUrnException { + JsonNode entities = objectMapper.readTree(entityArrayList); + + LinkedHashMap> items = new LinkedHashMap<>(); + if (entities.isArray()) { + Iterator entityItr = entities.iterator(); + while (entityItr.hasNext()) { + JsonNode entity = entityItr.next(); + if (!entity.has("urn")) { + throw new IllegalArgumentException("Missing `urn` field"); + } + Urn entityUrn = validatedUrn(entity.get("urn").asText()); + items.putIfAbsent(entityUrn, new HashMap<>()); + + Iterator> aspectItr = entity.fields(); + while (aspectItr.hasNext()) { + Map.Entry aspect = aspectItr.next(); + + if ("urn".equals(aspect.getKey())) { + continue; + } + + AspectSpec aspectSpec = lookupAspectSpec(entityUrn, aspect.getKey()); + + if (aspectSpec != null) { + + Map headers = null; + if (aspect.getValue().has("headers")) { + headers = + objectMapper.convertValue( + aspect.getValue().get("headers"), new TypeReference<>() {}); + items + .get(entityUrn) + .put( + aspectSpec.getName(), + Long.parseLong(headers.getOrDefault(HTTP_HEADER_IF_VERSION_MATCH, "0"))); + } else { + items.get(entityUrn).put(aspectSpec.getName(), 0L); + } + } + } + + // handle no aspects specified, default latest version + if (items.get(entityUrn).isEmpty()) { + for (AspectSpec aspectSpec : + entityRegistry.getEntitySpec(entityUrn.getEntityType()).getAspectSpecs()) { + items.get(entityUrn).put(aspectSpec.getName(), 0L); + } + } + } + } + + return items; + } + @Override protected AspectsBatch toMCPBatch( @Nonnull OperationContext opContext, String entityArrayList, Actor actor) @@ -184,6 +290,12 @@ protected AspectsBatch toMCPBatch( objectMapper.writeValueAsString(aspect.getValue().get("systemMetadata"))); ((ObjectNode) aspect.getValue()).remove("systemMetadata"); } + Map headers = null; + if (aspect.getValue().has("headers")) { + headers = + objectMapper.convertValue( + aspect.getValue().get("headers"), new TypeReference<>() {}); + } ChangeItemImpl.ChangeItemImplBuilder builder = ChangeItemImpl.builder() @@ -191,10 +303,11 @@ protected AspectsBatch toMCPBatch( .aspectName(aspectSpec.getName()) .auditStamp(AuditStampUtils.createAuditStamp(actor.toUrnStr())) .systemMetadata(systemMetadata) + .headers(headers) .recordTemplate( GenericRecordUtils.deserializeAspect( ByteString.copyString( - objectMapper.writeValueAsString(aspect.getValue()), + objectMapper.writeValueAsString(aspect.getValue().get("value")), StandardCharsets.UTF_8), GenericRecordUtils.JSON, aspectSpec)); diff --git a/metadata-service/openapi-servlet/src/test/java/io/datahubproject/openapi/v3/controller/EntityControllerTest.java b/metadata-service/openapi-servlet/src/test/java/io/datahubproject/openapi/v3/controller/EntityControllerTest.java new file mode 100644 index 00000000000000..0855ad6c2e4ff2 --- /dev/null +++ b/metadata-service/openapi-servlet/src/test/java/io/datahubproject/openapi/v3/controller/EntityControllerTest.java @@ -0,0 +1,205 @@ +package io.datahubproject.openapi.v3.controller; + +import static org.mockito.ArgumentMatchers.any; +import static org.mockito.ArgumentMatchers.anyInt; +import static org.mockito.ArgumentMatchers.anyMap; +import static org.mockito.ArgumentMatchers.anyString; +import static org.mockito.ArgumentMatchers.eq; +import static org.mockito.ArgumentMatchers.nullable; +import static org.mockito.Mockito.mock; +import static org.mockito.Mockito.when; +import static org.springframework.test.web.servlet.result.MockMvcResultMatchers.status; +import static org.testng.Assert.assertNotNull; + +import com.datahub.authentication.Actor; +import com.datahub.authentication.ActorType; +import com.datahub.authentication.Authentication; +import com.datahub.authentication.AuthenticationContext; +import com.datahub.authorization.AuthorizationResult; +import com.datahub.authorization.AuthorizerChain; +import com.fasterxml.jackson.databind.ObjectMapper; +import com.linkedin.common.Status; +import com.linkedin.common.urn.Urn; +import com.linkedin.common.urn.UrnUtils; +import com.linkedin.entity.Aspect; +import com.linkedin.entity.EnvelopedAspect; +import com.linkedin.metadata.entity.EntityService; +import com.linkedin.metadata.entity.EntityServiceImpl; +import com.linkedin.metadata.models.registry.EntityRegistry; +import com.linkedin.metadata.query.filter.Filter; +import com.linkedin.metadata.query.filter.SortOrder; +import com.linkedin.metadata.search.ScrollResult; +import com.linkedin.metadata.search.SearchEntity; +import com.linkedin.metadata.search.SearchEntityArray; +import com.linkedin.metadata.search.SearchService; +import com.linkedin.metadata.utils.SearchUtil; +import io.datahubproject.metadata.context.OperationContext; +import io.datahubproject.openapi.config.SpringWebConfig; +import io.datahubproject.test.metadata.context.TestOperationContexts; +import java.util.List; +import java.util.Map; +import org.springframework.beans.factory.annotation.Autowired; +import org.springframework.beans.factory.annotation.Qualifier; +import org.springframework.boot.test.autoconfigure.web.servlet.AutoConfigureMockMvc; +import org.springframework.boot.test.autoconfigure.web.servlet.AutoConfigureWebMvc; +import org.springframework.boot.test.context.SpringBootTest; +import org.springframework.boot.test.context.TestConfiguration; +import org.springframework.boot.test.mock.mockito.MockBean; +import org.springframework.context.annotation.Bean; +import org.springframework.context.annotation.ComponentScan; +import org.springframework.context.annotation.Import; +import org.springframework.context.annotation.Primary; +import org.springframework.http.MediaType; +import org.springframework.test.context.testng.AbstractTestNGSpringContextTests; +import org.springframework.test.web.servlet.MockMvc; +import org.springframework.test.web.servlet.request.MockMvcRequestBuilders; +import org.springframework.test.web.servlet.result.MockMvcResultMatchers; +import org.testng.annotations.Test; + +@SpringBootTest(classes = {SpringWebConfig.class}) +@ComponentScan(basePackages = {"io.datahubproject.openapi.v3.controller"}) +@Import({SpringWebConfig.class, EntityControllerTest.EntityControllerTestConfig.class}) +@AutoConfigureWebMvc +@AutoConfigureMockMvc +public class EntityControllerTest extends AbstractTestNGSpringContextTests { + @Autowired private EntityController entityController; + @Autowired private MockMvc mockMvc; + @Autowired private SearchService mockSearchService; + @Autowired private EntityService mockEntityService; + + @Test + public void initTest() { + assertNotNull(entityController); + } + + @Test + public void testSearchOrderPreserved() throws Exception { + List TEST_URNS = + List.of( + UrnUtils.getUrn("urn:li:dataset:(urn:li:dataPlatform:testPlatform,1,PROD)"), + UrnUtils.getUrn("urn:li:dataset:(urn:li:dataPlatform:testPlatform,2,PROD)"), + UrnUtils.getUrn("urn:li:dataset:(urn:li:dataPlatform:testPlatform,3,PROD)")); + + // Mock scroll ascending/descending results + ScrollResult expectedResultAscending = + new ScrollResult() + .setEntities( + new SearchEntityArray( + List.of( + new SearchEntity().setEntity(TEST_URNS.get(0)), + new SearchEntity().setEntity(TEST_URNS.get(1)), + new SearchEntity().setEntity(TEST_URNS.get(2))))); + when(mockSearchService.scrollAcrossEntities( + any(OperationContext.class), + eq(List.of("dataset")), + anyString(), + nullable(Filter.class), + eq(SearchUtil.sortBy("urn", SortOrder.valueOf("ASCENDING"))), + nullable(String.class), + nullable(String.class), + anyInt())) + .thenReturn(expectedResultAscending); + ScrollResult expectedResultDescending = + new ScrollResult() + .setEntities( + new SearchEntityArray( + List.of( + new SearchEntity().setEntity(TEST_URNS.get(2)), + new SearchEntity().setEntity(TEST_URNS.get(1)), + new SearchEntity().setEntity(TEST_URNS.get(0))))); + when(mockSearchService.scrollAcrossEntities( + any(OperationContext.class), + eq(List.of("dataset")), + anyString(), + nullable(Filter.class), + eq(SearchUtil.sortBy("urn", SortOrder.valueOf("DESCENDING"))), + nullable(String.class), + nullable(String.class), + anyInt())) + .thenReturn(expectedResultDescending); + // Mock entity aspect + when(mockEntityService.getEnvelopedVersionedAspects( + any(OperationContext.class), anyMap(), eq(false))) + .thenReturn( + Map.of( + TEST_URNS.get(0), + List.of( + new EnvelopedAspect() + .setName("status") + .setValue(new Aspect(new Status().data()))), + TEST_URNS.get(1), + List.of( + new EnvelopedAspect() + .setName("status") + .setValue(new Aspect(new Status().data()))), + TEST_URNS.get(2), + List.of( + new EnvelopedAspect() + .setName("status") + .setValue(new Aspect(new Status().data()))))); + + // test ASCENDING + mockMvc + .perform( + MockMvcRequestBuilders.get("/v3/entity/dataset") + .param("sortOrder", "ASCENDING") + .accept(MediaType.APPLICATION_JSON)) + .andExpect(status().is2xxSuccessful()) + .andExpect( + MockMvcResultMatchers.jsonPath("$.entities[0].urn").value(TEST_URNS.get(0).toString())) + .andExpect( + MockMvcResultMatchers.jsonPath("$.entities[1].urn").value(TEST_URNS.get(1).toString())) + .andExpect( + MockMvcResultMatchers.jsonPath("$.entities[2].urn").value(TEST_URNS.get(2).toString())); + + // test DESCENDING + mockMvc + .perform( + MockMvcRequestBuilders.get("/v3/entity/dataset") + .accept(MediaType.APPLICATION_JSON) + .param("sortOrder", "DESCENDING")) + .andExpect(status().is2xxSuccessful()) + .andExpect( + MockMvcResultMatchers.jsonPath("$.entities[0].urn").value(TEST_URNS.get(2).toString())) + .andExpect( + MockMvcResultMatchers.jsonPath("$.entities[1].urn").value(TEST_URNS.get(1).toString())) + .andExpect( + MockMvcResultMatchers.jsonPath("$.entities[2].urn").value(TEST_URNS.get(0).toString())); + } + + @TestConfiguration + public static class EntityControllerTestConfig { + @MockBean public EntityServiceImpl entityService; + @MockBean public SearchService searchService; + + @Bean + public ObjectMapper objectMapper() { + return new ObjectMapper(); + } + + @Bean(name = "systemOperationContext") + public OperationContext systemOperationContext() { + return TestOperationContexts.systemContextNoSearchAuthorization(); + } + + @Bean("entityRegistry") + @Primary + public EntityRegistry entityRegistry( + @Qualifier("systemOperationContext") final OperationContext testOperationContext) { + return testOperationContext.getEntityRegistry(); + } + + @Bean + public AuthorizerChain authorizerChain() { + AuthorizerChain authorizerChain = mock(AuthorizerChain.class); + + Authentication authentication = mock(Authentication.class); + when(authentication.getActor()).thenReturn(new Actor(ActorType.USER, "datahub")); + when(authorizerChain.authorize(any())) + .thenReturn(new AuthorizationResult(null, AuthorizationResult.Type.ALLOW, "")); + AuthenticationContext.setAuthentication(authentication); + + return authorizerChain; + } + } +} diff --git a/metadata-service/plugin/src/main/java/com/datahub/plugins/metadata/aspect/SpringPluginFactory.java b/metadata-service/plugin/src/main/java/com/datahub/plugins/metadata/aspect/SpringPluginFactory.java index dcedbec50b7938..043b0016abaaae 100644 --- a/metadata-service/plugin/src/main/java/com/datahub/plugins/metadata/aspect/SpringPluginFactory.java +++ b/metadata-service/plugin/src/main/java/com/datahub/plugins/metadata/aspect/SpringPluginFactory.java @@ -14,6 +14,7 @@ import javax.annotation.Nonnull; import javax.annotation.Nullable; import lombok.extern.slf4j.Slf4j; +import org.springframework.beans.factory.BeanFactoryUtils; import org.springframework.context.ApplicationContext; import org.springframework.context.annotation.AnnotationConfigApplicationContext; @@ -109,7 +110,9 @@ protected List build( final List plugins; if (config.getSpring().getName() == null) { plugins = - springApplicationContext.getBeansOfType(clazz).values().stream() + BeanFactoryUtils.beansOfTypeIncludingAncestors(springApplicationContext, clazz) + .values() + .stream() .map(plugin -> (T) plugin) .collect(Collectors.toList()); } else { diff --git a/metadata-service/restli-api/src/main/snapshot/com.linkedin.entity.aspects.snapshot.json b/metadata-service/restli-api/src/main/snapshot/com.linkedin.entity.aspects.snapshot.json index c40137b265cff0..72578be8c54d07 100644 --- a/metadata-service/restli-api/src/main/snapshot/com.linkedin.entity.aspects.snapshot.json +++ b/metadata-service/restli-api/src/main/snapshot/com.linkedin.entity.aspects.snapshot.json @@ -101,6 +101,11 @@ }, "doc" : "Additional properties", "optional" : true + }, { + "name" : "version", + "type" : "string", + "doc" : "Aspect version\n Initial implementation will use the aspect version's number, however stored as\n a string in the case where a different aspect versioning scheme is later adopted.", + "optional" : true } ] } } ] @@ -4052,7 +4057,15 @@ }, { "name" : "systemMetadata", "type" : "SystemMetadata", - "doc" : "A string->string map of custom properties that one might want to attach to an event\n", + "doc" : "System properties that one might want to attach to an event\n", + "optional" : true + }, { + "name" : "headers", + "type" : { + "type" : "map", + "values" : "string" + }, + "doc" : "Headers - intended to mimic http headers", "optional" : true } ] }, "com.linkedin.mxe.SystemMetadata", "com.linkedin.schema.ArrayType", "com.linkedin.schema.BinaryJsonSchema", "com.linkedin.schema.BooleanType", "com.linkedin.schema.BytesType", "com.linkedin.schema.DatasetFieldForeignKey", "com.linkedin.schema.DateType", "com.linkedin.schema.EditableSchemaFieldInfo", "com.linkedin.schema.EditableSchemaMetadata", "com.linkedin.schema.EnumType", "com.linkedin.schema.EspressoSchema", "com.linkedin.schema.FixedType", "com.linkedin.schema.ForeignKeyConstraint", "com.linkedin.schema.ForeignKeySpec", "com.linkedin.schema.KafkaSchema", "com.linkedin.schema.KeyValueSchema", "com.linkedin.schema.MapType", "com.linkedin.schema.MySqlDDL", "com.linkedin.schema.NullType", "com.linkedin.schema.NumberType", "com.linkedin.schema.OracleDDL", "com.linkedin.schema.OrcSchema", "com.linkedin.schema.OtherSchema", "com.linkedin.schema.PrestoDDL", "com.linkedin.schema.RecordType", "com.linkedin.schema.SchemaField", "com.linkedin.schema.SchemaFieldDataType", "com.linkedin.schema.SchemaMetadata", "com.linkedin.schema.SchemaMetadataKey", "com.linkedin.schema.Schemaless", "com.linkedin.schema.StringType", "com.linkedin.schema.TimeType", "com.linkedin.schema.UnionType", "com.linkedin.schema.UrnForeignKey", "com.linkedin.tag.TagProperties" ], diff --git a/metadata-service/restli-api/src/main/snapshot/com.linkedin.entity.entities.snapshot.json b/metadata-service/restli-api/src/main/snapshot/com.linkedin.entity.entities.snapshot.json index aeb5fbef5af2f2..9b93f1184cd59f 100644 --- a/metadata-service/restli-api/src/main/snapshot/com.linkedin.entity.entities.snapshot.json +++ b/metadata-service/restli-api/src/main/snapshot/com.linkedin.entity.entities.snapshot.json @@ -6469,6 +6469,11 @@ }, "doc" : "Additional properties", "optional" : true + }, { + "name" : "version", + "type" : "string", + "doc" : "Aspect version\n Initial implementation will use the aspect version's number, however stored as\n a string in the case where a different aspect versioning scheme is later adopted.", + "optional" : true } ] }, "com.linkedin.policy.DataHubActorFilter", "com.linkedin.policy.DataHubPolicyInfo", "com.linkedin.policy.DataHubResourceFilter", "com.linkedin.policy.PolicyMatchCondition", "com.linkedin.policy.PolicyMatchCriterion", "com.linkedin.policy.PolicyMatchFilter", "com.linkedin.retention.DataHubRetentionConfig", "com.linkedin.retention.Retention", "com.linkedin.retention.TimeBasedRetention", "com.linkedin.retention.VersionBasedRetention", "com.linkedin.schema.ArrayType", "com.linkedin.schema.BinaryJsonSchema", "com.linkedin.schema.BooleanType", "com.linkedin.schema.BytesType", "com.linkedin.schema.DatasetFieldForeignKey", "com.linkedin.schema.DateType", "com.linkedin.schema.EditableSchemaFieldInfo", "com.linkedin.schema.EditableSchemaMetadata", "com.linkedin.schema.EnumType", "com.linkedin.schema.EspressoSchema", "com.linkedin.schema.FixedType", "com.linkedin.schema.ForeignKeyConstraint", "com.linkedin.schema.ForeignKeySpec", "com.linkedin.schema.KafkaSchema", "com.linkedin.schema.KeyValueSchema", "com.linkedin.schema.MapType", "com.linkedin.schema.MySqlDDL", "com.linkedin.schema.NullType", "com.linkedin.schema.NumberType", "com.linkedin.schema.OracleDDL", "com.linkedin.schema.OrcSchema", "com.linkedin.schema.OtherSchema", "com.linkedin.schema.PrestoDDL", "com.linkedin.schema.RecordType", "com.linkedin.schema.SchemaField", "com.linkedin.schema.SchemaFieldDataType", "com.linkedin.schema.SchemaMetadata", "com.linkedin.schema.SchemaMetadataKey", "com.linkedin.schema.Schemaless", "com.linkedin.schema.StringType", "com.linkedin.schema.TimeType", "com.linkedin.schema.UnionType", "com.linkedin.schema.UrnForeignKey", "com.linkedin.tag.TagProperties" ], "schema" : { diff --git a/metadata-service/restli-api/src/main/snapshot/com.linkedin.entity.entitiesV2.snapshot.json b/metadata-service/restli-api/src/main/snapshot/com.linkedin.entity.entitiesV2.snapshot.json index 3eac87e268f5d4..9bf7f97b34be18 100644 --- a/metadata-service/restli-api/src/main/snapshot/com.linkedin.entity.entitiesV2.snapshot.json +++ b/metadata-service/restli-api/src/main/snapshot/com.linkedin.entity.entitiesV2.snapshot.json @@ -146,6 +146,11 @@ }, "doc" : "Additional properties", "optional" : true + }, { + "name" : "version", + "type" : "string", + "doc" : "Aspect version\n Initial implementation will use the aspect version's number, however stored as\n a string in the case where a different aspect versioning scheme is later adopted.", + "optional" : true } ] }, "doc" : "The system metadata for this aspect\n", diff --git a/metadata-service/restli-api/src/main/snapshot/com.linkedin.entity.entitiesVersionedV2.snapshot.json b/metadata-service/restli-api/src/main/snapshot/com.linkedin.entity.entitiesVersionedV2.snapshot.json index 1733537e68f305..ef72ecb23d5bbe 100644 --- a/metadata-service/restli-api/src/main/snapshot/com.linkedin.entity.entitiesVersionedV2.snapshot.json +++ b/metadata-service/restli-api/src/main/snapshot/com.linkedin.entity.entitiesVersionedV2.snapshot.json @@ -155,6 +155,11 @@ }, "doc" : "Additional properties", "optional" : true + }, { + "name" : "version", + "type" : "string", + "doc" : "Aspect version\n Initial implementation will use the aspect version's number, however stored as\n a string in the case where a different aspect versioning scheme is later adopted.", + "optional" : true } ] }, "doc" : "The system metadata for this aspect\n", diff --git a/metadata-service/restli-client-api/src/main/java/com/linkedin/entity/client/EntityClient.java b/metadata-service/restli-client-api/src/main/java/com/linkedin/entity/client/EntityClient.java index a7980d0d5c99f0..8821143cde6cc3 100644 --- a/metadata-service/restli-client-api/src/main/java/com/linkedin/entity/client/EntityClient.java +++ b/metadata-service/restli-client-api/src/main/java/com/linkedin/entity/client/EntityClient.java @@ -1,6 +1,7 @@ package com.linkedin.entity.client; import static com.linkedin.metadata.utils.GenericRecordUtils.entityResponseToAspectMap; +import static com.linkedin.metadata.utils.GenericRecordUtils.entityResponseToSystemAspectMap; import com.datahub.plugins.auth.authorization.Authorizer; import com.linkedin.common.VersionedUrn; @@ -12,6 +13,7 @@ import com.linkedin.entity.Entity; import com.linkedin.entity.EntityResponse; import com.linkedin.metadata.aspect.EnvelopedAspect; +import com.linkedin.metadata.aspect.SystemAspect; import com.linkedin.metadata.aspect.VersionedAspect; import com.linkedin.metadata.browse.BrowseResult; import com.linkedin.metadata.browse.BrowseResultV2; @@ -602,4 +604,13 @@ default Map> getLatestAspects( String entityName = urns.stream().findFirst().map(Urn::getEntityType).get(); return entityResponseToAspectMap(batchGetV2(opContext, entityName, urns, aspectNames)); } + + @Nonnull + default Map> getLatestSystemAspect( + @Nonnull OperationContext opContext, @Nonnull Set urns, @Nonnull Set aspectNames) + throws RemoteInvocationException, URISyntaxException { + String entityName = urns.stream().findFirst().map(Urn::getEntityType).get(); + return entityResponseToSystemAspectMap( + batchGetV2(opContext, entityName, urns, aspectNames), opContext.getEntityRegistry()); + } } diff --git a/metadata-service/restli-servlet-impl/src/main/java/com/linkedin/metadata/filter/RestliLoggingFilter.java b/metadata-service/restli-servlet-impl/src/main/java/com/linkedin/metadata/filter/RestliLoggingFilter.java index edd8270e87210e..eee64b3f24bb9a 100644 --- a/metadata-service/restli-servlet-impl/src/main/java/com/linkedin/metadata/filter/RestliLoggingFilter.java +++ b/metadata-service/restli-servlet-impl/src/main/java/com/linkedin/metadata/filter/RestliLoggingFilter.java @@ -1,5 +1,6 @@ package com.linkedin.metadata.filter; +import com.linkedin.metadata.restli.NonExceptionHttpErrorResponse; import com.linkedin.restli.common.HttpMethod; import com.linkedin.restli.common.HttpStatus; import com.linkedin.restli.server.filter.Filter; @@ -33,7 +34,9 @@ public CompletableFuture onError( final FilterRequestContext requestContext, final FilterResponseContext responseContext) { logResponse(requestContext, responseContext); - log.error("Rest.li error: ", th); + if (!(th instanceof NonExceptionHttpErrorResponse)) { + log.error("Rest.li error: ", th); + } return CompletableFuture.completedFuture(null); } diff --git a/metadata-service/restli-servlet-impl/src/main/java/com/linkedin/metadata/resources/entity/AspectResource.java b/metadata-service/restli-servlet-impl/src/main/java/com/linkedin/metadata/resources/entity/AspectResource.java index 0d9a49d583b57a..cbca464d569a83 100644 --- a/metadata-service/restli-servlet-impl/src/main/java/com/linkedin/metadata/resources/entity/AspectResource.java +++ b/metadata-service/restli-servlet-impl/src/main/java/com/linkedin/metadata/resources/entity/AspectResource.java @@ -13,7 +13,6 @@ import com.codahale.metrics.MetricRegistry; import com.datahub.authentication.Authentication; import com.datahub.authentication.AuthenticationContext; -import com.datahub.authorization.EntitySpec; import com.datahub.plugins.auth.authorization.Authorizer; import com.google.common.annotations.VisibleForTesting; import com.linkedin.aspect.GetTimeseriesAspectValuesResponse; @@ -21,7 +20,6 @@ import com.linkedin.common.urn.Urn; import com.linkedin.metadata.aspect.EnvelopedAspectArray; import com.linkedin.metadata.aspect.VersionedAspect; -import com.linkedin.metadata.authorization.Disjunctive; import com.linkedin.metadata.authorization.PoliciesConfig; import com.linkedin.metadata.entity.EntityService; import com.linkedin.metadata.entity.IngestResult; @@ -153,9 +151,8 @@ public Task get( final VersionedAspect aspect = _entityService.getVersionedAspect(opContext, urn, aspectName, version); if (aspect == null) { - throw RestliUtil.resourceNotFoundException( - String.format( - "Did not find urn: %s aspect: %s version: %s", urn, aspectName, version)); + log.warn("Did not find urn: {} aspect: {} version: {}", urn, aspectName, version); + throw RestliUtil.nonExceptionResourceNotFound(); } return new AnyRecord(aspect.data()); }, diff --git a/metadata-service/services/src/main/java/com/linkedin/metadata/entity/DeleteEntityService.java b/metadata-service/services/src/main/java/com/linkedin/metadata/entity/DeleteEntityService.java index ab8786aeca8d60..aed9b97411ff68 100644 --- a/metadata-service/services/src/main/java/com/linkedin/metadata/entity/DeleteEntityService.java +++ b/metadata-service/services/src/main/java/com/linkedin/metadata/entity/DeleteEntityService.java @@ -6,6 +6,11 @@ import com.google.common.collect.ImmutableList; import com.google.common.collect.ImmutableMap; import com.linkedin.common.AuditStamp; +import com.linkedin.common.FormAssociation; +import com.linkedin.common.FormAssociationArray; +import com.linkedin.common.FormVerificationAssociation; +import com.linkedin.common.FormVerificationAssociationArray; +import com.linkedin.common.Forms; import com.linkedin.common.urn.Urn; import com.linkedin.common.urn.UrnUtils; import com.linkedin.data.schema.PathSpec; @@ -22,14 +27,24 @@ import com.linkedin.metadata.models.EntitySpec; import com.linkedin.metadata.models.RelationshipFieldSpec; import com.linkedin.metadata.models.extractor.FieldExtractor; +import com.linkedin.metadata.query.filter.Condition; +import com.linkedin.metadata.query.filter.ConjunctiveCriterion; +import com.linkedin.metadata.query.filter.ConjunctiveCriterionArray; +import com.linkedin.metadata.query.filter.Criterion; +import com.linkedin.metadata.query.filter.CriterionArray; +import com.linkedin.metadata.query.filter.Filter; import com.linkedin.metadata.query.filter.RelationshipDirection; import com.linkedin.metadata.run.DeleteReferencesResponse; import com.linkedin.metadata.run.RelatedAspect; import com.linkedin.metadata.run.RelatedAspectArray; +import com.linkedin.metadata.search.EntitySearchService; +import com.linkedin.metadata.search.ScrollResult; +import com.linkedin.metadata.search.SearchEntity; import com.linkedin.metadata.utils.GenericRecordUtils; import com.linkedin.mxe.MetadataChangeProposal; import io.datahubproject.metadata.context.OperationContext; import java.net.URISyntaxException; +import java.util.ArrayList; import java.util.HashMap; import java.util.List; import java.util.Map; @@ -39,6 +54,7 @@ import java.util.stream.Collectors; import java.util.stream.Stream; import javax.annotation.Nonnull; +import javax.annotation.Nullable; import lombok.AllArgsConstructor; import lombok.Data; import lombok.RequiredArgsConstructor; @@ -50,8 +66,10 @@ public class DeleteEntityService { private final EntityService _entityService; private final GraphService _graphService; + private final EntitySearchService _searchService; private static final Integer ELASTIC_BATCH_DELETE_SLEEP_SEC = 5; + private static final Integer BATCH_SIZE = 1000; /** * Public endpoint that deletes references to a given urn across DataHub's metadata graph. This is @@ -65,7 +83,14 @@ public class DeleteEntityService { */ public DeleteReferencesResponse deleteReferencesTo( @Nonnull OperationContext opContext, final Urn urn, final boolean dryRun) { + // TODO: update DeleteReferencesResponse to have searchAspects and provide more helpful comment + // in CLI final DeleteReferencesResponse result = new DeleteReferencesResponse(); + + // Delete references for entities referencing the deleted urn with searchables. + // Only works for Form deletion for now + int totalSearchAssetCount = deleteSearchReferences(opContext, urn, dryRun); + RelatedEntitiesResult relatedEntities = _graphService.findRelatedEntities( null, @@ -90,7 +115,7 @@ public DeleteReferencesResponse deleteReferencesTo( .collect(Collectors.toList()); result.setRelatedAspects(new RelatedAspectArray(relatedAspects)); - result.setTotal(relatedEntities.getTotal()); + result.setTotal(relatedEntities.getTotal() + totalSearchAssetCount); if (dryRun) { return result; @@ -489,6 +514,244 @@ private void handleError(final DeleteEntityServiceError error) { // NO-OP for now. } + private static class AssetScrollResult { + String scrollId; + List assets; + int totalAssetCount; + } + + /** + * Method that will find references through the search index and clean aspects up. Right now this + * only works for deleting Forms entities. Later, we need to extend this for all searchables. + */ + private int deleteSearchReferences( + @Nonnull OperationContext opContext, @Nonnull final Urn deletedUrn, final boolean dryRun) { + int totalAssetCount = 0; + String scrollId = null; + do { + AssetScrollResult assetScrollResult = + getAssetsReferencingUrn(opContext, deletedUrn, scrollId, dryRun); + List assetsReferencingUrn = assetScrollResult.assets; + totalAssetCount += assetScrollResult.totalAssetCount; + // if it's a dry run, exit early and stop looping over assets + scrollId = dryRun ? null : assetScrollResult.scrollId; + if (!dryRun) { + assetsReferencingUrn.forEach( + assetUrn -> { + List mcps = + deleteSearchReferencesForAsset(opContext, assetUrn, deletedUrn); + mcps.forEach( + mcp -> _entityService.ingestProposal(opContext, mcp, createAuditStamp(), true)); + }); + } + } while (scrollId != null); + return totalAssetCount; + } + + /** + * Get all of the asset urns that reference the deleted urn This is hardcoded for forms right now, + * we will use a more generic field to work with all searchables later. + * + *

TODO: Use the new referencedUrns index field once that exists + */ + private AssetScrollResult getAssetsReferencingUrn( + @Nonnull OperationContext opContext, + @Nonnull final Urn deletedUrn, + @Nullable String scrollId, + final boolean dryRun) { + AssetScrollResult result = new AssetScrollResult(); + result.scrollId = null; + result.totalAssetCount = 0; + result.assets = new ArrayList<>(); + + if (deletedUrn.getEntityType().equals("form")) { + // first, get all entities with this form assigned on it + final CriterionArray incompleteFormsArray = new CriterionArray(); + incompleteFormsArray.add( + new Criterion() + .setField("incompleteForms") + .setValue(deletedUrn.toString()) + .setCondition(Condition.EQUAL)); + final CriterionArray completedFormsArray = new CriterionArray(); + completedFormsArray.add( + new Criterion() + .setField("completedForms") + .setValue(deletedUrn.toString()) + .setCondition(Condition.EQUAL)); + // next, get all metadata tests created for this form + final CriterionArray metadataTestSourceArray = new CriterionArray(); + metadataTestSourceArray.add( + new Criterion() + .setField("sourceEntity") + .setValue(deletedUrn.toString()) + .setCondition(Condition.EQUAL)); + metadataTestSourceArray.add( + new Criterion().setField("sourceType").setValue("FORMS").setCondition(Condition.EQUAL)); + Filter filter = + new Filter() + .setOr( + new ConjunctiveCriterionArray( + new ConjunctiveCriterion().setAnd(incompleteFormsArray), + new ConjunctiveCriterion().setAnd(completedFormsArray), + new ConjunctiveCriterion().setAnd(metadataTestSourceArray))); + ScrollResult scrollResult = + _searchService.structuredScroll( + opContext, + ImmutableList.of( + "dataset", + "dataJob", + "dataFlow", + "chart", + "dashboard", + "corpuser", + "corpGroup", + "domain", + "container", + "glossaryTerm", + "glossaryNode", + "mlModel", + "mlModelGroup", + "mlFeatureTable", + "mlFeature", + "mlPrimaryKey", + "schemaField", + "dataProduct", + "test"), + "*", + filter, + null, + scrollId, + "5m", + dryRun ? 1 : BATCH_SIZE); // need to pass in 1 for count otherwise get index error + if (scrollResult.getNumEntities() == 0 || scrollResult.getEntities().size() == 0) { + return result; + } + result.scrollId = scrollResult.getScrollId(); + result.totalAssetCount = scrollResult.getNumEntities(); + result.assets = + scrollResult.getEntities().stream() + .map(SearchEntity::getEntity) + .collect(Collectors.toList()); + return result; + } + return result; + } + + /** Get all the aspects that need updating, then loop over and update them */ + private List deleteSearchReferencesForAsset( + @Nonnull OperationContext opContext, + @Nonnull final Urn assetUrn, + @Nonnull final Urn deletedUrn) { + // delete entities that should be deleted first + if (shouldDeleteAssetReferencingUrn(assetUrn, deletedUrn)) { + _entityService.deleteUrn(opContext, assetUrn); + } + + List mcps = new ArrayList<>(); + List aspectsToUpdate = getAspectsToUpdate(deletedUrn); + aspectsToUpdate.forEach( + aspectName -> { + try { + MetadataChangeProposal mcp = + updateAspectForSearchReference(opContext, assetUrn, deletedUrn, aspectName); + if (mcp != null) { + mcps.add(mcp); + } + } catch (Exception e) { + log.error( + String.format( + "Error trying to update aspect %s for asset %s when deleting %s", + aspectName, assetUrn, deletedUrn), + e); + } + }); + return mcps; + } + + /** + * Get the names of all the aspects that need to be updated when the deleted urn is removed. + * + *

TODO: extend this to support other types of deletes and be more dynamic depending on aspects + * that the asset has + */ + private List getAspectsToUpdate(@Nonnull final Urn deletedUrn) { + if (deletedUrn.getEntityType().equals("form")) { + return ImmutableList.of("forms"); + } + return new ArrayList<>(); + } + + /** + * Determine whether the asset referencing the deleted urn should be deleted itself. + * + *

TODO: extend this to support other types of deletes and be more dynamic depending on aspects + * that the asset has + */ + private boolean shouldDeleteAssetReferencingUrn( + @Nonnull final Urn assetUrn, @Nonnull final Urn deletedUrn) { + if (assetUrn.getEntityType().equals("test") && deletedUrn.getEntityType().equals("form")) { + return true; + } + return false; + } + + @Nullable + private MetadataChangeProposal updateAspectForSearchReference( + @Nonnull OperationContext opContext, + @Nonnull final Urn assetUrn, + @Nonnull final Urn deletedUrn, + @Nonnull final String aspectName) { + if (aspectName.equals("forms")) { + return updateFormsAspect(opContext, assetUrn, deletedUrn); + } + return null; + } + + @Nullable + private MetadataChangeProposal updateFormsAspect( + @Nonnull OperationContext opContext, + @Nonnull final Urn assetUrn, + @Nonnull final Urn deletedUrn) { + RecordTemplate record = _entityService.getLatestAspect(opContext, assetUrn, "forms"); + if (record == null) return null; + + Forms formsAspect = new Forms(record.data()); + final AtomicReference updatedAspect; + try { + updatedAspect = new AtomicReference<>(formsAspect.copy()); + } catch (Exception e) { + throw new RuntimeException("Failed to copy the forms aspect for updating", e); + } + + List incompleteForms = + formsAspect.getIncompleteForms().stream() + .filter(incompleteForm -> !incompleteForm.getUrn().equals(deletedUrn)) + .collect(Collectors.toList()); + List completedForms = + formsAspect.getCompletedForms().stream() + .filter(completedForm -> completedForm.getUrn() != deletedUrn) + .collect(Collectors.toList()); + final List verifications = + formsAspect.getVerifications().stream() + .filter(verification -> verification.getForm() != deletedUrn) + .collect(Collectors.toList()); + + updatedAspect.get().setIncompleteForms(new FormAssociationArray(incompleteForms)); + updatedAspect.get().setCompletedForms(new FormAssociationArray(completedForms)); + updatedAspect.get().setVerifications(new FormVerificationAssociationArray(verifications)); + + if (!formsAspect.equals(updatedAspect.get())) { + return AspectUtils.buildMetadataChangeProposal(assetUrn, "forms", updatedAspect.get()); + } + return null; + } + + private AuditStamp createAuditStamp() { + return new AuditStamp() + .setActor(UrnUtils.getUrn(Constants.SYSTEM_ACTOR)) + .setTime(System.currentTimeMillis()); + } + @AllArgsConstructor @Data private static class DeleteEntityServiceError { diff --git a/metadata-service/services/src/main/java/com/linkedin/metadata/entity/EntityService.java b/metadata-service/services/src/main/java/com/linkedin/metadata/entity/EntityService.java index ac4c6895b757b6..283cff5d2e19da 100644 --- a/metadata-service/services/src/main/java/com/linkedin/metadata/entity/EntityService.java +++ b/metadata-service/services/src/main/java/com/linkedin/metadata/entity/EntityService.java @@ -256,6 +256,21 @@ Map> getLatestEnvelopedAspects( boolean alwaysIncludeKeyAspect) throws URISyntaxException; + /** + * Retrieve the specified aspect versions for the given URNs + * + * @param opContext operation context + * @param urnAspectVersions map of the urn's aspect versions + * @param alwaysIncludeKeyAspect whether to include the key aspect + * @return enveloped aspects with the specific version + * @throws URISyntaxException + */ + Map> getEnvelopedVersionedAspects( + @Nonnull OperationContext opContext, + @Nonnull Map> urnAspectVersions, + boolean alwaysIncludeKeyAspect) + throws URISyntaxException; + @Deprecated default Map> getLatestEnvelopedAspects( @Nonnull OperationContext opContext, @Nonnull Set urns, @Nonnull Set aspectNames) diff --git a/metadata-service/services/src/main/java/com/linkedin/metadata/service/AssertionService.java b/metadata-service/services/src/main/java/com/linkedin/metadata/service/AssertionService.java index ad0d2c84c90371..6b56d6b4dc295d 100644 --- a/metadata-service/services/src/main/java/com/linkedin/metadata/service/AssertionService.java +++ b/metadata-service/services/src/main/java/com/linkedin/metadata/service/AssertionService.java @@ -14,7 +14,6 @@ import com.linkedin.common.EntityRelationships; import com.linkedin.common.url.Url; import com.linkedin.common.urn.Urn; -import com.linkedin.data.template.StringMap; import com.linkedin.entity.EntityResponse; import com.linkedin.entity.client.SystemEntityClient; import com.linkedin.metadata.Constants; @@ -157,8 +156,7 @@ public void addAssertionRunEvent( @Nonnull Urn assertionUrn, @Nonnull Urn asserteeUrn, @Nonnull Long timestampMillis, - @Nonnull AssertionResult assertionResult, - @Nullable StringMap contextParameters) { + @Nonnull AssertionResult assertionResult) { AssertionRunEvent assertionRunEvent = new AssertionRunEvent(); assertionRunEvent.setTimestampMillis(timestampMillis); assertionRunEvent.setRunId(timestampMillis.toString()); @@ -166,9 +164,6 @@ public void addAssertionRunEvent( assertionRunEvent.setAsserteeUrn(asserteeUrn); assertionRunEvent.setStatus(AssertionRunStatus.COMPLETE); assertionRunEvent.setResult(assertionResult); - if (contextParameters != null) { - assertionRunEvent.setRuntimeContext(contextParameters); - } try { this.entityClient.ingestProposal( diff --git a/metadata-service/services/src/main/java/com/linkedin/metadata/service/FormService.java b/metadata-service/services/src/main/java/com/linkedin/metadata/service/FormService.java index a75c399300f65d..210fba82eb4e20 100644 --- a/metadata-service/services/src/main/java/com/linkedin/metadata/service/FormService.java +++ b/metadata-service/services/src/main/java/com/linkedin/metadata/service/FormService.java @@ -33,7 +33,9 @@ import com.linkedin.metadata.Constants; import com.linkedin.metadata.authorization.OwnershipUtils; import com.linkedin.metadata.entity.AspectUtils; +import com.linkedin.metadata.key.FormKey; import com.linkedin.metadata.service.util.SearchBasedFormAssignmentRunner; +import com.linkedin.metadata.utils.EntityKeyUtils; import com.linkedin.metadata.utils.FormUtils; import com.linkedin.metadata.utils.SchemaFieldUtils; import com.linkedin.mxe.MetadataChangeProposal; @@ -51,6 +53,7 @@ import java.util.Objects; import java.util.Optional; import java.util.Set; +import java.util.UUID; import java.util.stream.Collectors; import java.util.stream.Stream; import javax.annotation.Nonnull; @@ -1050,6 +1053,28 @@ private void verifyEntityExists(@Nonnull OperationContext opContext, @Nonnull fi } } + /** Create a form given the formInfo aspect. */ + public Urn createForm( + @Nonnull OperationContext opContext, + @Nonnull final FormInfo formInfo, + @Nullable final String id) { + + FormKey formKey = new FormKey(); + String formId = id != null ? id : UUID.randomUUID().toString(); + formKey.setId(formId); + Urn formUrn = EntityKeyUtils.convertEntityKeyToUrn(formKey, FORM_ENTITY_NAME); + + try { + this.entityClient.ingestProposal( + opContext, + AspectUtils.buildMetadataChangeProposal(formUrn, FORM_INFO_ASPECT_NAME, formInfo), + false); + return formUrn; + } catch (Exception e) { + throw new RuntimeException("Failed to create form", e); + } + } + private AuditStamp createSystemAuditStamp() { return createAuditStamp(UrnUtils.getUrn(SYSTEM_ACTOR)); } diff --git a/metadata-service/war/src/main/resources/boot/policies.json b/metadata-service/war/src/main/resources/boot/policies.json index 454f0ba7d1163b..53c773d130f32b 100644 --- a/metadata-service/war/src/main/resources/boot/policies.json +++ b/metadata-service/war/src/main/resources/boot/policies.json @@ -34,7 +34,9 @@ "MANAGE_GLOBAL_OWNERSHIP_TYPES", "GET_ANALYTICS_PRIVILEGE", "CREATE_BUSINESS_ATTRIBUTE", - "MANAGE_BUSINESS_ATTRIBUTE" + "MANAGE_BUSINESS_ATTRIBUTE", + "MANAGE_STRUCTURED_PROPERTIES", + "MANAGE_DOCUMENTATION_FORMS" ], "displayName":"Root User - All Platform Privileges", "description":"Grants all platform privileges to root user.", @@ -179,7 +181,9 @@ "MANAGE_GLOBAL_OWNERSHIP_TYPES", "GET_ANALYTICS_PRIVILEGE", "CREATE_BUSINESS_ATTRIBUTE", - "MANAGE_BUSINESS_ATTRIBUTE" + "MANAGE_BUSINESS_ATTRIBUTE", + "MANAGE_STRUCTURED_PROPERTIES", + "MANAGE_DOCUMENTATION_FORMS" ], "displayName":"Admins - Platform Policy", "description":"Admins have all platform privileges.", @@ -265,7 +269,9 @@ "MANAGE_GLOBAL_ANNOUNCEMENTS", "MANAGE_GLOSSARIES", "MANAGE_TAGS", - "MANAGE_BUSINESS_ATTRIBUTE" + "MANAGE_BUSINESS_ATTRIBUTE", + "MANAGE_STRUCTURED_PROPERTIES", + "MANAGE_DOCUMENTATION_FORMS" ], "displayName":"Editors - Platform Policy", "description":"Editors can manage ingestion and view analytics.", diff --git a/metadata-utils/src/main/java/com/linkedin/metadata/authorization/PoliciesConfig.java b/metadata-utils/src/main/java/com/linkedin/metadata/authorization/PoliciesConfig.java index 24fa4ec080cfa0..c20b287a47141d 100644 --- a/metadata-utils/src/main/java/com/linkedin/metadata/authorization/PoliciesConfig.java +++ b/metadata-utils/src/main/java/com/linkedin/metadata/authorization/PoliciesConfig.java @@ -151,6 +151,18 @@ public class PoliciesConfig { "Manage Connections", "Manage connections to external DataHub platforms."); + public static final Privilege MANAGE_STRUCTURED_PROPERTIES_PRIVILEGE = + Privilege.of( + "MANAGE_STRUCTURED_PROPERTIES", + "Manage Structured Properties", + "Manage structured properties in your instance."); + + public static final Privilege MANAGE_DOCUMENTATION_FORMS_PRIVILEGE = + Privilege.of( + "MANAGE_DOCUMENTATION_FORMS", + "Manage Documentation Forms", + "Manage forms assigned to assets to assist in documentation efforts."); + public static final List PLATFORM_PRIVILEGES = ImmutableList.of( MANAGE_POLICIES_PRIVILEGE, @@ -175,7 +187,9 @@ public class PoliciesConfig { MANAGE_GLOBAL_OWNERSHIP_TYPES, CREATE_BUSINESS_ATTRIBUTE_PRIVILEGE, MANAGE_BUSINESS_ATTRIBUTE_PRIVILEGE, - MANAGE_CONNECTIONS_PRIVILEGE); + MANAGE_CONNECTIONS_PRIVILEGE, + MANAGE_STRUCTURED_PROPERTIES_PRIVILEGE, + MANAGE_DOCUMENTATION_FORMS_PRIVILEGE); // Resource Privileges // @@ -957,6 +971,38 @@ public class PoliciesConfig { ApiOperation.EXISTS, API_PRIVILEGE_MAP.get(ApiGroup.ENTITY).get(ApiOperation.EXISTS)) .build()) + .put( + // regular entity level permissions + MANAGE_ACCESS_TOKENS + Constants.ACCESS_TOKEN_ENTITY_NAME, + ImmutableMap.>>builder() + .put( + ApiOperation.CREATE, + Disjunctive.disjoint( + MANAGE_ACCESS_TOKENS, CREATE_ENTITY_PRIVILEGE, EDIT_ENTITY_PRIVILEGE)) + .put( + ApiOperation.READ, + Disjunctive.disjoint( + MANAGE_ACCESS_TOKENS, + VIEW_ENTITY_PAGE_PRIVILEGE, + GET_ENTITY_PRIVILEGE, + EDIT_ENTITY_PRIVILEGE, + DELETE_ENTITY_PRIVILEGE)) + .put( + ApiOperation.UPDATE, + Disjunctive.disjoint(MANAGE_ACCESS_TOKENS, EDIT_ENTITY_PRIVILEGE)) + .put( + ApiOperation.DELETE, + Disjunctive.disjoint(MANAGE_ACCESS_TOKENS, DELETE_ENTITY_PRIVILEGE)) + .put( + ApiOperation.EXISTS, + Disjunctive.disjoint( + MANAGE_ACCESS_TOKENS, + EXISTS_ENTITY_PRIVILEGE, + EDIT_ENTITY_PRIVILEGE, + DELETE_ENTITY_PRIVILEGE, + VIEW_ENTITY_PAGE_PRIVILEGE, + SEARCH_PRIVILEGE)) + .build()) .build(); /** diff --git a/metadata-utils/src/main/java/com/linkedin/metadata/restli/NonExceptionHttpErrorResponse.java b/metadata-utils/src/main/java/com/linkedin/metadata/restli/NonExceptionHttpErrorResponse.java new file mode 100644 index 00000000000000..c99a3622d15207 --- /dev/null +++ b/metadata-utils/src/main/java/com/linkedin/metadata/restli/NonExceptionHttpErrorResponse.java @@ -0,0 +1,47 @@ +package com.linkedin.metadata.restli; + +import com.linkedin.restli.common.HttpStatus; +import com.linkedin.restli.server.RestLiServiceException; +import com.linkedin.restli.server.errors.ServiceError; + +/** + * Captures an error response (e.g. 404-not-found) that is not to be regarded as an + * exception within the server.
+ *
+ * Restli apparently requires http-error-responses to be represented by {@link + * RestLiServiceException}; thus, we need this class to specify an error response that isn't + * really an exception (in the context of the server).
+ * To highlight the unusual purpose of this exception, the name of this class is also deliberately + * unconventional (the class-name doesn't end with "Exception"). + */ +public class NonExceptionHttpErrorResponse extends RestLiServiceException { + + public NonExceptionHttpErrorResponse(HttpStatus status) { + super(status); + } + + public NonExceptionHttpErrorResponse(HttpStatus status, String message) { + super(status, message); + } + + public NonExceptionHttpErrorResponse(HttpStatus status, Throwable cause) { + super(status, cause); + } + + public NonExceptionHttpErrorResponse(HttpStatus status, String message, Throwable cause) { + super(status, message, cause); + } + + public NonExceptionHttpErrorResponse( + HttpStatus status, String message, Throwable cause, boolean writableStackTrace) { + super(status, message, cause, writableStackTrace); + } + + public NonExceptionHttpErrorResponse(ServiceError serviceError) { + super(serviceError); + } + + public NonExceptionHttpErrorResponse(ServiceError serviceError, Throwable cause) { + super(serviceError, cause); + } +} diff --git a/metadata-utils/src/main/java/com/linkedin/metadata/restli/RestliUtil.java b/metadata-utils/src/main/java/com/linkedin/metadata/restli/RestliUtil.java index 737f79dc1c4417..c9b1d5a8a82de5 100644 --- a/metadata-utils/src/main/java/com/linkedin/metadata/restli/RestliUtil.java +++ b/metadata-utils/src/main/java/com/linkedin/metadata/restli/RestliUtil.java @@ -79,6 +79,11 @@ public static RestLiServiceException resourceNotFoundException() { return resourceNotFoundException(null); } + @Nonnull + public static RestLiServiceException nonExceptionResourceNotFound() { + return new NonExceptionHttpErrorResponse(HttpStatus.S_404_NOT_FOUND); + } + @Nonnull public static RestLiServiceException resourceNotFoundException(@Nullable String message) { return new RestLiServiceException(HttpStatus.S_404_NOT_FOUND, message); diff --git a/metadata-utils/src/main/java/com/linkedin/metadata/utils/GenericRecordUtils.java b/metadata-utils/src/main/java/com/linkedin/metadata/utils/GenericRecordUtils.java index ae061a2d0c0905..7974d239a25bc4 100644 --- a/metadata-utils/src/main/java/com/linkedin/metadata/utils/GenericRecordUtils.java +++ b/metadata-utils/src/main/java/com/linkedin/metadata/utils/GenericRecordUtils.java @@ -6,7 +6,10 @@ import com.linkedin.data.template.RecordTemplate; import com.linkedin.entity.Aspect; import com.linkedin.entity.EntityResponse; +import com.linkedin.metadata.aspect.EnvelopedSystemAspect; +import com.linkedin.metadata.aspect.SystemAspect; import com.linkedin.metadata.models.AspectSpec; +import com.linkedin.metadata.models.registry.EntityRegistry; import com.linkedin.mxe.GenericAspect; import com.linkedin.mxe.GenericPayload; import java.nio.charset.StandardCharsets; @@ -87,4 +90,27 @@ public static Map> entityResponseToAspectMap( .collect(Collectors.toMap(Map.Entry::getKey, Map.Entry::getValue)))) .collect(Collectors.toMap(Map.Entry::getKey, Map.Entry::getValue)); } + + @Nonnull + public static Map> entityResponseToSystemAspectMap( + Map inputMap, @Nonnull EntityRegistry entityRegistry) { + return inputMap.entrySet().stream() + .map( + entry -> + Map.entry( + entry.getKey(), + entry.getValue().getAspects().entrySet().stream() + .filter(aspectEntry -> aspectEntry.getValue() != null) + .map( + aspectEntry -> + Map.entry( + aspectEntry.getKey(), + EnvelopedSystemAspect.of( + entry.getKey(), + aspectEntry.getValue(), + entityRegistry.getEntitySpec( + entry.getKey().getEntityType())))) + .collect(Collectors.toMap(Map.Entry::getKey, Map.Entry::getValue)))) + .collect(Collectors.toMap(Map.Entry::getKey, Map.Entry::getValue)); + } } diff --git a/metadata-utils/src/main/java/com/linkedin/metadata/utils/log/LogMessageFilter.java b/metadata-utils/src/main/java/com/linkedin/metadata/utils/log/LogMessageFilter.java index 67f0ae4c77eafd..3750c0ae0bc4ad 100644 --- a/metadata-utils/src/main/java/com/linkedin/metadata/utils/log/LogMessageFilter.java +++ b/metadata-utils/src/main/java/com/linkedin/metadata/utils/log/LogMessageFilter.java @@ -1,6 +1,8 @@ package com.linkedin.metadata.utils.log; import ch.qos.logback.classic.spi.ILoggingEvent; +import ch.qos.logback.classic.spi.IThrowableProxy; +import ch.qos.logback.classic.spi.ThrowableProxyUtil; import ch.qos.logback.core.filter.AbstractMatcherFilter; import ch.qos.logback.core.spi.FilterReply; import java.util.ArrayList; @@ -21,7 +23,21 @@ public FilterReply decide(ILoggingEvent event) { return FilterReply.NEUTRAL; } - if (this.excluded.stream().anyMatch(message -> event.getFormattedMessage().contains(message))) { + final String formattedMessage = event.getFormattedMessage(); + final IThrowableProxy throwableProxy = event.getThrowableProxy(); + + String throwableString; + if (throwableProxy != null) { + throwableString = ThrowableProxyUtil.asString(throwableProxy); + } else { + throwableString = null; + } + + if (this.excluded.stream() + .anyMatch( + message -> + formattedMessage.contains(message) + || (throwableString != null && throwableString.contains(message)))) { return FilterReply.DENY; } return FilterReply.ACCEPT; diff --git a/metadata-utils/src/main/java/com/linkedin/metadata/utils/metrics/ExceptionUtils.java b/metadata-utils/src/main/java/com/linkedin/metadata/utils/metrics/ExceptionUtils.java new file mode 100644 index 00000000000000..b3bad8e8242188 --- /dev/null +++ b/metadata-utils/src/main/java/com/linkedin/metadata/utils/metrics/ExceptionUtils.java @@ -0,0 +1,43 @@ +package com.linkedin.metadata.utils.metrics; + +import com.linkedin.metadata.aspect.plugins.validation.ValidationExceptionCollection; + +public class ExceptionUtils { + private static final String BASE_NAME = "metadata.validation.exception"; + private static final String DELIMITER = "."; + + private ExceptionUtils() {} + + public static ValidationExceptionCollection collectMetrics( + final ValidationExceptionCollection exceptions) { + exceptions + .streamAllExceptions() + .forEach( + exception -> { + String subTypeBaseName = + String.join( + DELIMITER, BASE_NAME, exception.getSubType().toString().toLowerCase()); + // subtype count + MetricUtils.counter(subTypeBaseName).inc(exceptions.size()); + // Change type count + MetricUtils.counter( + String.join( + DELIMITER, + subTypeBaseName, + exception.getChangeType().toString().toLowerCase())) + .inc(); + // Entity count + MetricUtils.counter( + String.join( + DELIMITER, + subTypeBaseName, + exception.getEntityUrn().getEntityType().toLowerCase())) + .inc(); + // Aspect count + MetricUtils.counter( + String.join(DELIMITER, subTypeBaseName, exception.getAspectName())) + .inc(); + }); + return exceptions; + } +} diff --git a/smoke-test/tests/cypress/cypress/e2e/auto_complete/auto_complete.js b/smoke-test/tests/cypress/cypress/e2e/auto_complete/auto_complete.js index df7d20eb6f9339..4afe7b064f48e5 100644 --- a/smoke-test/tests/cypress/cypress/e2e/auto_complete/auto_complete.js +++ b/smoke-test/tests/cypress/cypress/e2e/auto_complete/auto_complete.js @@ -26,12 +26,14 @@ describe("auto-complete", () => { cy.login(); cy.visit("/"); cy.get("input[data-testid=search-input]").type("SampleCypressHiveDataset"); - cy.get('[data-testid^="auto-complete-option"]').first().click(); + cy.get('[data-testid^="auto-complete-option"]') + .contains("SampleCypressHiveDataset") + .click(); + cy.get(".ant-table-row").should("be.visible"); cy.url().should( "include", "dataset/urn:li:dataset:(urn:li:dataPlatform:hive,SampleCypressHiveDataset,PROD)", ); - cy.wait(2000); }); it("should filter auto-complete results when clicking on a quick filter", () => { diff --git a/smoke-test/tests/cypress/cypress/e2e/domains/nested_domains.js b/smoke-test/tests/cypress/cypress/e2e/domains/nested_domains.js index 9c320eaf77ae4e..ed7522eb902073 100644 --- a/smoke-test/tests/cypress/cypress/e2e/domains/nested_domains.js +++ b/smoke-test/tests/cypress/cypress/e2e/domains/nested_domains.js @@ -164,9 +164,19 @@ describe("Verify nested domains test functionalities", () => { clearAndDelete(); }); + it("verify Move domain root level to parent level", () => { + cy.waitTextVisible(domainName); + moveDomaintoRootLevel(); + cy.waitTextVisible("Moved Domain!"); + cy.ensureTextNotPresent("Moved Domain!"); + cy.goToDomainList(); + cy.waitTextVisible("1 sub-domain"); + }); + it("Verify Move domain parent level to root level", () => { moveDomaintoParent(); cy.waitTextVisible("Moved Domain!"); + cy.ensureTextNotPresent("Moved Domain!"); cy.goToDomainList(); cy.waitTextVisible(domainName); }); diff --git a/smoke-test/tests/cypress/cypress/e2e/mutations/ingestion_source.js b/smoke-test/tests/cypress/cypress/e2e/mutations/ingestion_source.js index 8f50262b41d2c2..470f9e2eec4617 100644 --- a/smoke-test/tests/cypress/cypress/e2e/mutations/ingestion_source.js +++ b/smoke-test/tests/cypress/cypress/e2e/mutations/ingestion_source.js @@ -13,7 +13,7 @@ describe("ingestion source creation flow", () => { cy.goToIngestionPage(); cy.clickOptionWithTestId("create-ingestion-source-button"); cy.clickOptionWithText("Snowflake"); - cy.waitTextVisible("Snowflake Recipe"); + cy.waitTextVisible("Snowflake Details"); cy.get("#account_id").type(accound_id); cy.get("#warehouse").type(warehouse_id); cy.get("#username").type(username); @@ -34,7 +34,7 @@ describe("ingestion source creation flow", () => { cy.clickOptionWithTestId("recipe-builder-next-button"); cy.waitTextVisible("Configure an Ingestion Schedule"); cy.clickOptionWithTestId("ingestion-schedule-next-button"); - cy.waitTextVisible("Give this ingestion source a name."); + cy.waitTextVisible("Give this data source a name"); cy.get('[data-testid="source-name-input"]').type(ingestion_source_name); cy.clickOptionWithTestId("ingestion-source-save-button"); cy.waitTextVisible("Successfully created ingestion source!").wait(5000); @@ -47,7 +47,7 @@ describe("ingestion source creation flow", () => { cy.get('[data-testid="ingestion-source-table-edit-button"]') .first() .click(); - cy.waitTextVisible("Edit Ingestion Source"); + cy.waitTextVisible("Edit Data Source"); cy.get("#account_id").should("have.value", accound_id); cy.get("#warehouse").should("have.value", warehouse_id); cy.get("#username").should("have.value", username); diff --git a/smoke-test/tests/cypress/cypress/e2e/mutations/managed_ingestion.js b/smoke-test/tests/cypress/cypress/e2e/mutations/managed_ingestion.js index d23b0ca7523b8a..d01c762401c2e6 100644 --- a/smoke-test/tests/cypress/cypress/e2e/mutations/managed_ingestion.js +++ b/smoke-test/tests/cypress/cypress/e2e/mutations/managed_ingestion.js @@ -1,40 +1,44 @@ -function readyToTypeEditor() { - return cy.get(".monaco-editor textarea:first").click().focused(); -} - -describe("run managed ingestion", () => { - it("create run managed ingestion source", () => { - const number = Math.floor(Math.random() * 100000); - const testName = `cypress test source ${number}`; - const cli_version = "0.12.0"; - cy.login(); - cy.goToIngestionPage(); - cy.clickOptionWithText("Create new source"); - cy.clickOptionWithTextToScrollintoView("Other"); - - cy.waitTextVisible("source-type"); - readyToTypeEditor().type("{ctrl}a").clear(); - readyToTypeEditor().type("source:{enter}"); - readyToTypeEditor().type(" type: demo-data"); - readyToTypeEditor().type("{enter}"); - // no space because the editor starts new line at same indentation - readyToTypeEditor().type("config: {}"); - cy.clickOptionWithText("Next"); - cy.clickOptionWithText("Next"); - - cy.enterTextInTestId("source-name-input", testName); - cy.clickOptionWithText("Advanced"); - cy.enterTextInTestId("cli-version-input", cli_version); - cy.clickOptionWithTextToScrollintoView("Save & Run"); - cy.waitTextVisible(testName); - - cy.contains(testName) - .parent() - .within(() => { - cy.contains("Succeeded", { timeout: 180000 }); - cy.clickOptionWithTestId("delete-button"); - }); - cy.clickOptionWithText("Yes"); - cy.ensureTextNotPresent(testName); - }); -}); +// TODO: Investigate why this test can never pass on CI, but passes locally after PR #21465 +// +// function readyToTypeEditor() { +// return cy.get(".monaco-editor textarea:first").click().focused(); +// } +// +// describe("run managed ingestion", () => { +// it("create run managed ingestion source", () => { +// const number = Math.floor(Math.random() * 100000); +// const testName = `cypress test source ${number}`; +// const cli_version = "0.12.0"; +// cy.login(); +// cy.goToIngestionPage(); +// cy.clickOptionWithText("Create new source"); +// cy.clickOptionWithTextToScrollintoView("Other"); +// +// cy.waitTextVisible("source-type"); +// cy.wait(10000); // waits for 5 seconds +// +// readyToTypeEditor().type("{ctrl}a").clear({ force: true }); +// readyToTypeEditor().type("source:{enter}", { force: true }); +// readyToTypeEditor().type(" type: demo-data", { force: true }); +// readyToTypeEditor().type("{enter}", { force: true }); +// // no space because the editor starts new line at same indentation +// readyToTypeEditor().type("config: {}", { force: true }); +// cy.clickOptionWithText("Next"); +// cy.clickOptionWithText("Next"); +// +// cy.enterTextInTestId("source-name-input", testName); +// cy.clickOptionWithText("Advanced"); +// cy.enterTextInTestId("cli-version-input", cli_version); +// cy.clickOptionWithTextToScrollintoView("Save & Run"); +// cy.waitTextVisible(testName); +// +// cy.contains(testName) +// .parent() +// .within(() => { +// cy.contains("Succeeded", { timeout: 180000 }); +// cy.clickOptionWithTestId("delete-button"); +// }); +// cy.clickOptionWithText("Yes"); +// cy.ensureTextNotPresent(testName); +// }); +// }); diff --git a/smoke-test/tests/cypress/cypress/e2e/mutations/managing_secrets.js b/smoke-test/tests/cypress/cypress/e2e/mutations/managing_secrets.js index 57eccc32110966..1d95c1533c93c2 100644 --- a/smoke-test/tests/cypress/cypress/e2e/mutations/managing_secrets.js +++ b/smoke-test/tests/cypress/cypress/e2e/mutations/managing_secrets.js @@ -30,7 +30,7 @@ describe("managing secrets for ingestion creation", () => { cy.goToIngestionPage(); cy.get("#ingestion-create-source").click(); cy.clickOptionWithText("Snowflake"); - cy.waitTextVisible("Snowflake Recipe"); + cy.waitTextVisible("Snowflake Details"); cy.get("#account_id").type(accound_id); cy.get("#warehouse").type(warehouse_id); cy.get("#username").type(username); @@ -41,7 +41,7 @@ describe("managing secrets for ingestion creation", () => { cy.get("button").contains("Next").click(); cy.waitTextVisible("Configure an Ingestion Schedule"); cy.get("button").contains("Next").click(); - cy.waitTextVisible("Give this ingestion source a name."); + cy.waitTextVisible("Give this data source a name"); cy.get('[data-testid="source-name-input"]').type(ingestion_source_name); cy.get("button").contains("Save").click(); cy.waitTextVisible("Successfully created ingestion source!").wait(5000); @@ -69,7 +69,7 @@ describe("managing secrets for ingestion creation", () => { // Verify secret is not present during ingestion source creation for password dropdown cy.clickOptionWithText("Create new source"); cy.clickOptionWithText("Snowflake"); - cy.waitTextVisible("Snowflake Recipe"); + cy.waitTextVisible("Snowflake Details"); cy.get("#account_id").type(accound_id); cy.get("#warehouse").type(warehouse_id); cy.get("#username").type(username); @@ -90,7 +90,7 @@ describe("managing secrets for ingestion creation", () => { cy.get("button").contains("Next").click(); cy.waitTextVisible("Configure an Ingestion Schedule"); cy.get("button").contains("Next").click(); - cy.waitTextVisible("Give this ingestion source a name."); + cy.waitTextVisible("Give this data source a name"); cy.get('[data-testid="source-name-input"]').type(ingestion_source_name); cy.get("button").contains("Save").click(); cy.waitTextVisible("Successfully created ingestion source!").wait(5000); // prevent issue with missing form data diff --git a/smoke-test/tests/cypress/cypress/support/commands.js b/smoke-test/tests/cypress/cypress/support/commands.js index b6aeccfeb81a51..9b5065a7bdccfc 100644 --- a/smoke-test/tests/cypress/cypress/support/commands.js +++ b/smoke-test/tests/cypress/cypress/support/commands.js @@ -107,7 +107,7 @@ Cypress.Commands.add("goToAccessTokenSettings", () => { Cypress.Commands.add("goToIngestionPage", () => { cy.visit("/ingestion"); - cy.waitTextVisible("Manage Ingestion"); + cy.waitTextVisible("Manage Data Sources"); }); Cypress.Commands.add("goToDataset", (urn, dataset_name) => { @@ -198,6 +198,21 @@ Cypress.Commands.add("clickOptionWithTextToScrollintoView", (text) => { cy.contains(text).scrollIntoView().click(); }); +Cypress.Commands.add("clickOptionInScrollView", (text, selector) => { + cy.get(selector).within(() => { + cy.contains(text).then((el) => { + // Scroll the element into view with options for better alignment + el[0].scrollIntoView({ block: "center", inline: "nearest" }); + + // Wrap the element for further chaining with Cypress commands + cy.wrap(el) + .should("be.visible") // Wait until the element is visible + .should("not.be.disabled") // Ensure the element is not disabled + .click({ force: true }); // Force click if necessary + }); + }); +}); + Cypress.Commands.add("deleteFromDropdown", () => { cy.openThreeDotDropdown(); cy.clickOptionWithText("Delete"); diff --git a/smoke-test/tests/dataproduct/test_dataproduct.py b/smoke-test/tests/dataproduct/test_dataproduct.py index 0d0141e9111c0d..88a1c42ddca037 100644 --- a/smoke-test/tests/dataproduct/test_dataproduct.py +++ b/smoke-test/tests/dataproduct/test_dataproduct.py @@ -87,7 +87,7 @@ def create_test_data(filename: str): @pytest.fixture(scope="module", autouse=False) def ingest_cleanup_data(request): - new_file, filename = tempfile.mkstemp() + new_file, filename = tempfile.mkstemp(suffix=".json") try: create_test_data(filename) print("ingesting data products test data") diff --git a/smoke-test/tests/privileges/test_privileges.py b/smoke-test/tests/privileges/test_privileges.py index cdb5ead71aebca..c9a0b621593148 100644 --- a/smoke-test/tests/privileges/test_privileges.py +++ b/smoke-test/tests/privileges/test_privileges.py @@ -319,9 +319,8 @@ def test_privilege_to_create_and_manage_ingestion_source(): ) -@pytest.mark.skip(reason="Functionality and test needs to be validated for correctness") @pytest.mark.dependency(depends=["test_healthchecks"]) -def test_privilege_to_create_and_manage_access_tokens(): +def test_privilege_to_create_and_revoke_personal_access_tokens(): (admin_user, admin_pass) = get_admin_credentials() admin_session = login_as(admin_user, admin_pass) user_session = login_as("user", "user") @@ -345,13 +344,15 @@ def test_privilege_to_create_and_manage_access_tokens(): # Assign privileges to the new user to create and manage access tokens policy_urn = create_user_policy( - "urn:li:corpuser:user", ["MANAGE_ACCESS_TOKENS"], admin_session + "urn:li:corpuser:user", ["GENERATE_PERSONAL_ACCESS_TOKENS"], admin_session ) # Verify new user can create and manage access token(create, revoke) # Create a access token _ensure_can_create_access_token(user_session, create_access_token) + wait_for_writes_to_sync() + # List access tokens first to get token id list_access_tokens = { "query": """query listAccessTokens($input: ListAccessTokenInput!) {\n