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31260888fc
* feat(ingest/airflow): support dataset Urns in airflow lineage This PR also - resolves a reported circular import issue - refactors the Airflow tests to reduce duplication * fix test
46 lines
1.3 KiB
Python
46 lines
1.3 KiB
Python
"""Lineage Backend
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An example DAG demonstrating the usage of DataHub's Airflow lineage backend.
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"""
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from datetime import timedelta
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from airflow import DAG
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from airflow.operators.bash import BashOperator
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from airflow.utils.dates import days_ago
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from datahub_provider.entities import Dataset, Urn
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default_args = {
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"owner": "airflow",
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"depends_on_past": False,
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"email": ["jdoe@example.com"],
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"email_on_failure": False,
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"execution_timeout": timedelta(minutes=5),
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}
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with DAG(
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"datahub_lineage_backend_demo",
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default_args=default_args,
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description="An example DAG demonstrating the usage of DataHub's Airflow lineage backend.",
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schedule_interval=timedelta(days=1),
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start_date=days_ago(2),
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tags=["example_tag"],
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catchup=False,
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) as dag:
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task1 = BashOperator(
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task_id="run_data_task",
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dag=dag,
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bash_command="echo 'This is where you might run your data tooling.'",
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inlets=[
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Dataset("snowflake", "mydb.schema.tableA"),
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Dataset("snowflake", "mydb.schema.tableB", "DEV"),
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# You can also put dataset URNs in the inlets/outlets lists.
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Urn(
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"urn:li:dataset:(urn:li:dataPlatform:snowflake,mydb.schema.tableC,PROD)"
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),
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],
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outlets=[Dataset("snowflake", "mydb.schema.tableD")],
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)
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