Source code for airflow.example_dags.example_branch_operator
#
# 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
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
"""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:
[docs] 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