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Before I used the python script under metadata-ingestion to import data.
But I found an HTTP interface in #1791 accidentally. Is this method recommended? Is there any related documentation?
curl 'http://localhost:8080/datasets?action=ingest' -X POST -H 'X-RestLi-Protocol-Version:2.0.0' --data '{"snapshot":{"aspects":[{"com.linkedin.dataset.DatasetProperties":{"description":"descriptionForTest2","tags":["tag1","tag2"],"customProperties":{}}}],"urn":"urn:li:dataset:(urn:li:dataPlatform:hdfs,test2,EI)"}}'
The text was updated successfully, but these errors were encountered:
This is mostly a "backdoor API" used by the MCE ingestion pipeline. You can certainly use it for debugging purposes and it's mentioned here: https://github.com/linkedin/datahub/tree/master/gms
If you're after a proper CREATE API, you'll need to add one to the GMS like so: https://github.com/linkedin/datahub/blob/master/gms/impl/src/main/java/com/linkedin/metadata/resources/identity/CorpUsersEditableInfoResource.java#L25
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Got it
mars-lan
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Before I used the python script under metadata-ingestion to import data.
But I found an HTTP interface in #1791 accidentally. Is this method recommended? Is there any related documentation?
The text was updated successfully, but these errors were encountered: