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8a7aeac9d9
Co-authored-by: socar-dini <dini@socar.kr> Co-authored-by: Shirshanka Das <shirshanka@apache.org>
26 lines
857 B
Python
26 lines
857 B
Python
from datahub.emitter.mce_builder import make_dataset_urn
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# read-modify-write requires access to the DataHubGraph (RestEmitter is not enough)
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from datahub.ingestion.graph.client import DatahubClientConfig, DataHubGraph
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# Imports for metadata model classes
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from datahub.metadata.schema_classes import SchemaMetadataClass
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dataset_urn = make_dataset_urn(platform="hive", name="fct_users_created", env="PROD")
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gms_endpoint = "http://localhost:8080"
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graph = DataHubGraph(DatahubClientConfig(server=gms_endpoint))
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# Query multiple aspects from entity
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result = graph.get_aspects_for_entity(
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entity_urn=dataset_urn,
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aspects=["schemaMetadata"],
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aspect_types=[SchemaMetadataClass],
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)["schemaMetadata"]
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if result:
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column_descriptions = [
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{field.fieldPath: field.description} for field in result.fields
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]
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print(column_descriptions)
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