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54 lines
1.5 KiB
Python
54 lines
1.5 KiB
Python
import datahub.emitter.mce_builder as builder
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from datahub.emitter.mcp import MetadataChangeProposalWrapper
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from datahub.emitter.rest_emitter import DatahubRestEmitter
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from datahub.metadata.com.linkedin.pegasus2avro.dataset import (
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DatasetLineageType,
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FineGrainedLineage,
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FineGrainedLineageDownstreamType,
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FineGrainedLineageUpstreamType,
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Upstream,
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UpstreamLineage,
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)
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def datasetUrn(tbl):
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return builder.make_dataset_urn("hive", tbl)
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def fldUrn(tbl, fld):
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return builder.make_schema_field_urn(datasetUrn(tbl), fld)
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fineGrainedLineages = [
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FineGrainedLineage(
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upstreamType=FineGrainedLineageUpstreamType.FIELD_SET,
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upstreams=[
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fldUrn("fct_users_deleted", "browser_id"),
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fldUrn("fct_users_created", "user_id"),
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],
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downstreamType=FineGrainedLineageDownstreamType.FIELD,
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downstreams=[fldUrn("logging_events", "browser")],
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),
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]
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# this is just to check if any conflicts with existing Upstream, particularly the DownstreamOf relationship
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upstream = Upstream(
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dataset=datasetUrn("fct_users_deleted"), type=DatasetLineageType.TRANSFORMED
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)
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fieldLineages = UpstreamLineage(
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upstreams=[upstream], fineGrainedLineages=fineGrainedLineages
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)
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lineageMcp = MetadataChangeProposalWrapper(
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entityUrn=datasetUrn("logging_events"),
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aspect=fieldLineages,
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)
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# Create an emitter to the GMS REST API.
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emitter = DatahubRestEmitter("http://localhost:8080")
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# Emit metadata!
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emitter.emit_mcp(lineageMcp)
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