add dataGovernanceType field to bigquery_routine resource

.changelog/9859.txt

@@ -0,0 +1,3 @@
+```release-note:enhancement
+bigquery: added `dataGovernanceType` to `google_bigquery_routine` resource
+```

google-beta/services/bigquery/resource_bigquery_routine.go

@@ -124,6 +124,12 @@ the schema as returned by the API.`,
 					},
 				},
 			},
+			"data_governance_type": {
+				Type:         schema.TypeString,
+				Optional:     true,
+				ValidateFunc: verify.ValidateEnum([]string{"DATA_MASKING", ""}),
+				Description:  `If set to DATA_MASKING, the function is validated and made available as a masking function. For more information, see https://cloud.google.com/bigquery/docs/user-defined-functions#custom-mask Possible values: ["DATA_MASKING"]`,
+			},
 			"description": {
 				Type:        schema.TypeString,
 				Optional:    true,
@@ -392,6 +398,12 @@ func resourceBigQueryRoutineCreate(d *schema.ResourceData, meta interface{}) err
 	} else if v, ok := d.GetOkExists("determinism_level"); !tpgresource.IsEmptyValue(reflect.ValueOf(determinismLevelProp)) && (ok || !reflect.DeepEqual(v, determinismLevelProp)) {
 		obj["determinismLevel"] = determinismLevelProp
 	}
+	dataGovernanceTypeProp, err := expandBigQueryRoutineDataGovernanceType(d.Get("data_governance_type"), d, config)
+	if err != nil {
+		return err
+	} else if v, ok := d.GetOkExists("data_governance_type"); !tpgresource.IsEmptyValue(reflect.ValueOf(dataGovernanceTypeProp)) && (ok || !reflect.DeepEqual(v, dataGovernanceTypeProp)) {
+		obj["dataGovernanceType"] = dataGovernanceTypeProp
+	}
 	sparkOptionsProp, err := expandBigQueryRoutineSparkOptions(d.Get("spark_options"), d, config)
 	if err != nil {
 		return err
@@ -537,6 +549,9 @@ func resourceBigQueryRoutineRead(d *schema.ResourceData, meta interface{}) error
 	if err := d.Set("determinism_level", flattenBigQueryRoutineDeterminismLevel(res["determinismLevel"], d, config)); err != nil {
 		return fmt.Errorf("Error reading Routine: %s", err)
 	}
+	if err := d.Set("data_governance_type", flattenBigQueryRoutineDataGovernanceType(res["dataGovernanceType"], d, config)); err != nil {
+		return fmt.Errorf("Error reading Routine: %s", err)
+	}
 	if err := d.Set("spark_options", flattenBigQueryRoutineSparkOptions(res["sparkOptions"], d, config)); err != nil {
 		return fmt.Errorf("Error reading Routine: %s", err)
 	}
@@ -623,6 +638,12 @@ func resourceBigQueryRoutineUpdate(d *schema.ResourceData, meta interface{}) err
 	} else if v, ok := d.GetOkExists("determinism_level"); !tpgresource.IsEmptyValue(reflect.ValueOf(v)) && (ok || !reflect.DeepEqual(v, determinismLevelProp)) {
 		obj["determinismLevel"] = determinismLevelProp
 	}
+	dataGovernanceTypeProp, err := expandBigQueryRoutineDataGovernanceType(d.Get("data_governance_type"), d, config)
+	if err != nil {
+		return err
+	} else if v, ok := d.GetOkExists("data_governance_type"); !tpgresource.IsEmptyValue(reflect.ValueOf(v)) && (ok || !reflect.DeepEqual(v, dataGovernanceTypeProp)) {
+		obj["dataGovernanceType"] = dataGovernanceTypeProp
+	}
 	sparkOptionsProp, err := expandBigQueryRoutineSparkOptions(d.Get("spark_options"), d, config)
 	if err != nil {
 		return err
@@ -882,6 +903,10 @@ func flattenBigQueryRoutineDeterminismLevel(v interface{}, d *schema.ResourceDat
 	return v
 }
 
+func flattenBigQueryRoutineDataGovernanceType(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} {
+	return v
+}
+
 func flattenBigQueryRoutineSparkOptions(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} {
 	if v == nil {
 		return nil
@@ -1114,6 +1139,10 @@ func expandBigQueryRoutineDeterminismLevel(v interface{}, d tpgresource.Terrafor
 	return v, nil
 }
 
+func expandBigQueryRoutineDataGovernanceType(v interface{}, d tpgresource.TerraformResourceData, config *transport_tpg.Config) (interface{}, error) {
+	return v, nil
+}
+
 func expandBigQueryRoutineSparkOptions(v interface{}, d tpgresource.TerraformResourceData, config *transport_tpg.Config) (interface{}, error) {
 	l := v.([]interface{})
 	if len(l) == 0 || l[0] == nil {

google-beta/services/bigquery/resource_bigquery_routine_generated_test.go

@@ -351,6 +351,53 @@ resource "google_bigquery_routine" "spark_jar" {
 `, context)
 }
 
+func TestAccBigQueryRoutine_bigqueryRoutineDataGovernanceTypeExample(t *testing.T) {
+	t.Parallel()
+
+	context := map[string]interface{}{
+		"random_suffix": acctest.RandString(t, 10),
+	}
+
+	acctest.VcrTest(t, resource.TestCase{
+		PreCheck:                 func() { acctest.AccTestPreCheck(t) },
+		ProtoV5ProviderFactories: acctest.ProtoV5ProviderFactories(t),
+		CheckDestroy:             testAccCheckBigQueryRoutineDestroyProducer(t),
+		Steps: []resource.TestStep{
+			{
+				Config: testAccBigQueryRoutine_bigqueryRoutineDataGovernanceTypeExample(context),
+			},
+			{
+				ResourceName:      "google_bigquery_routine.custom_masking_routine",
+				ImportState:       true,
+				ImportStateVerify: true,
+			},
+		},
+	})
+}
+
+func testAccBigQueryRoutine_bigqueryRoutineDataGovernanceTypeExample(context map[string]interface{}) string {
+	return acctest.Nprintf(`
+resource "google_bigquery_dataset" "test" {
+	dataset_id = "tf_test_dataset_id%{random_suffix}"
+}
+
+resource "google_bigquery_routine" "custom_masking_routine" {
+	dataset_id = google_bigquery_dataset.test.dataset_id
+	routine_id     = "custom_masking_routine"
+	routine_type = "SCALAR_FUNCTION"
+	language = "SQL"
+	data_governance_type = "DATA_MASKING"
+	definition_body = "SAFE.REGEXP_REPLACE(ssn, '[0-9]', 'X')"
+	arguments {
+	  name = "ssn"
+	  data_type = "{\"typeKind\" :  \"STRING\"}"
+	} 
+	return_type = "{\"typeKind\" :  \"STRING\"}"
+  }
+
+`, context)
+}
+
 func testAccCheckBigQueryRoutineDestroyProducer(t *testing.T) func(s *terraform.State) error {
 	return func(s *terraform.State) error {
 		for name, rs := range s.RootModule().Resources {

website/docs/r/bigquery_routine.html.markdown

@@ -234,6 +234,34 @@ resource "google_bigquery_routine" "spark_jar" {
     }
   }
 }
+```
+<div class = "oics-button" style="float: right; margin: 0 0 -15px">
+  <a href="https://console.cloud.google.com/cloudshell/open?cloudshell_git_repo=https%3A%2F%2Fgithub.com%2Fterraform-google-modules%2Fdocs-examples.git&cloudshell_working_dir=bigquery_routine_data_governance_type&cloudshell_image=gcr.io%2Fcloudshell-images%2Fcloudshell%3Alatest&open_in_editor=main.tf&cloudshell_print=.%2Fmotd&cloudshell_tutorial=.%2Ftutorial.md" target="_blank">
+    <img alt="Open in Cloud Shell" src="//gstatic.com/cloudssh/images/open-btn.svg" style="max-height: 44px; margin: 32px auto; max-width: 100%;">
+  </a>
+</div>
+## Example Usage - Bigquery Routine Data Governance Type
+
+
+```hcl
+resource "google_bigquery_dataset" "test" {
+	dataset_id = "tf_test_dataset_id%{random_suffix}"
+}
+
+resource "google_bigquery_routine" "custom_masking_routine" {
+	dataset_id = google_bigquery_dataset.test.dataset_id
+	routine_id     = "custom_masking_routine"
+	routine_type = "SCALAR_FUNCTION"
+	language = "SQL"
+	data_governance_type = "DATA_MASKING"
+	definition_body = "SAFE.REGEXP_REPLACE(ssn, '[0-9]', 'X')"
+	arguments {
+	  name = "ssn"
+	  data_type = "{\"typeKind\" :  \"STRING\"}"
+	} 
+	return_type = "{\"typeKind\" :  \"STRING\"}"
+  }
+
 ```
 ## Example Usage - Bigquery Routine Remote Function
 
@@ -338,6 +366,11 @@ The following arguments are supported:
   The determinism level of the JavaScript UDF if defined.
   Possible values are: `DETERMINISM_LEVEL_UNSPECIFIED`, `DETERMINISTIC`, `NOT_DETERMINISTIC`.
 
+* `data_governance_type` -
+  (Optional)
+  If set to DATA_MASKING, the function is validated and made available as a masking function. For more information, see https://cloud.google.com/bigquery/docs/user-defined-functions#custom-mask
+  Possible values are: `DATA_MASKING`.
+
 * `spark_options` -
   (Optional)
   Optional. If language is one of "PYTHON", "JAVA", "SCALA", this field stores the options for spark stored procedure.