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50 lines
1.6 KiB
Python
50 lines
1.6 KiB
Python
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"""
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OpenMetadata Airflow Lineage Backend example. Airflow provides a pluggable lineage backend that can
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read a DAG's configured inlets and outlets to compose a lineage. With OpenMetadata we have a airflow lineage backend
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to get all of the workflows in Airflow and also any lineage user's configured.
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Please refer to https://docs.open-metadata.org/lineage/configure-airflow-lineage on how to configure the lineage backend
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with Airflow Scheduler
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This is an example to demonstrate on how to configure a Airflow DAG's inlets and outlets
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"""
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from datetime import timedelta
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from airflow.decorators import dag, task
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from airflow.utils.dates import days_ago
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from metadata.ingestion.models.table_metadata import Table
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default_args = {
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"owner": "openmetadata_airflow_example",
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"depends_on_past": False,
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"email": ["user@company.com"],
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"execution_timeout": timedelta(minutes=5),
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}
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@dag(
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default_args=default_args,
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description="OpenMetadata Airflow Lineage example DAG",
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schedule_interval=timedelta(days=1),
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start_date=days_ago(1),
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catchup=False,
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)
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def openmetadata_airflow_lineage_example():
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@task(
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inlets={
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"tables": [
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Table(fullyQualifiedName="bigquery.shopify.raw_order"),
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Table(fullyQualifiedName="bigquery.shopify.raw_customer")
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],
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},
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outlets={"tables": [Table(fullyQualifiedName="bigquery.shopify.fact_order")]},
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)
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def generate_data():
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""" write your query to generate ETL"""
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pass
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generate_data()
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openmetadata_airflow_lineage_example_dag = openmetadata_airflow_lineage_example()
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