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37 lines
1.2 KiB
Python
37 lines
1.2 KiB
Python
from typing import List
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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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DatasetLineageTypeClass,
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UpstreamClass,
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UpstreamLineage,
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)
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upstream_table_1 = UpstreamClass(
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dataset=builder.make_dataset_urn("bigquery", "upstream_table_1", "PROD"),
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type=DatasetLineageTypeClass.TRANSFORMED,
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)
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upstream_tables: List[UpstreamClass] = [upstream_table_1]
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upstream_table_2 = UpstreamClass(
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dataset=builder.make_dataset_urn("bigquery", "upstream_table_2", "PROD"),
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type=DatasetLineageTypeClass.TRANSFORMED,
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)
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upstream_tables.append(upstream_table_2)
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# Construct a lineage object.
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upstream_lineage = UpstreamLineage(upstreams=upstream_tables)
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# Construct a MetadataChangeProposalWrapper object.
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lineage_mcp = MetadataChangeProposalWrapper(
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entityUrn=builder.make_dataset_urn("bigquery", "downstream"),
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aspect=upstream_lineage,
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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(lineage_mcp)
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