mirror of
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99 lines
3.1 KiB
Python
99 lines
3.1 KiB
Python
# Copyright 2025 Collate
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# Licensed under the Collate Community License, Version 1.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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# https://github.com/open-metadata/OpenMetadata/blob/main/ingestion/LICENSE
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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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/connectors/pipeline/airflow/lineage-backend 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.generated.schema.entity.data.container import Container
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from metadata.generated.schema.entity.data.table import Table
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from metadata.ingestion.source.pipeline.airflow.lineage_parser import OMEntity
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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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dag_id="sample_lineage",
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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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"sample_data.ecommerce_db.shopify.raw_order",
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],
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},
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outlets={"tables": ["sample_data.ecommerce_db.shopify.fact_order"]},
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)
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def generate_data():
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pass
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@task(
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inlets=[
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OMEntity(entity=Container, fqn="s3_storage_sample.transactions", key="test")
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],
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outlets=[
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OMEntity(
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entity=Table,
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fqn="sample_data.ecommerce_db.shopify.raw_order",
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key="test",
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)
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],
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)
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def generate_data2():
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pass
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@task(
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inlets=[
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{
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"entity": "container",
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"fqn": "s3_storage_sample.departments",
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"key": "test",
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},
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],
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outlets=[
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{
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"entity": "table",
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"fqn": "sample_data.ecommerce_db.shopify.raw_order",
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"key": "test",
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},
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],
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)
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def generate_data3():
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pass
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generate_data()
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generate_data2()
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generate_data3()
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openmetadata_airflow_lineage_example_dag = openmetadata_airflow_lineage_example()
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