airflow example_branch_operator 源码
airflow example_branch_operator 代码
文件路径:/airflow/example_dags/example_branch_operator.py
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
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# software distributed under the License is distributed on an
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# KIND, either express or implied. See the License for the
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"""Example DAG demonstrating the usage of the BranchPythonOperator."""
from __future__ import annotations
import random
import pendulum
from airflow import DAG
from airflow.operators.empty import EmptyOperator
from airflow.operators.python import BranchPythonOperator
from airflow.utils.edgemodifier import Label
from airflow.utils.trigger_rule import TriggerRule
with DAG(
dag_id='example_branch_operator',
start_date=pendulum.datetime(2021, 1, 1, tz="UTC"),
catchup=False,
schedule="@daily",
tags=['example', 'example2'],
) as dag:
run_this_first = EmptyOperator(
task_id='run_this_first',
)
options = ['branch_a', 'branch_b', 'branch_c', 'branch_d']
branching = BranchPythonOperator(
task_id='branching',
python_callable=lambda: random.choice(options),
)
run_this_first >> branching
join = EmptyOperator(
task_id='join',
trigger_rule=TriggerRule.NONE_FAILED_MIN_ONE_SUCCESS,
)
for option in options:
t = EmptyOperator(
task_id=option,
)
empty_follow = EmptyOperator(
task_id='follow_' + option,
)
# Label is optional here, but it can help identify more complex branches
branching >> Label(option) >> t >> empty_follow >> join
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