nested_branch_dag

Example DAG demonstrating a workflow with nested branching. The join tasks are created with none_failed_or_skipped trigger rule such that they are skipped whenever their corresponding BranchPythonOperator are skipped.

Airflow Fundamentals


Providers:

Modules:

Last Updated: Apr. 13, 2022

Run this DAG

1. Install the Astronomer CLI:Skip if you already have the CLI

2. Initate the project in a local directory:

3. Copy and paste the code below into a file in the

dags
directory.

4. Run the DAG from the local directory where the project was initiated:

#
# 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 a workflow with nested branching. The join tasks are created with
``none_failed_min_one_success`` trigger rule such that they are skipped whenever their corresponding
branching tasks are skipped.
"""
from __future__ import annotations
import pendulum
from airflow.decorators import task
from airflow.models.dag import DAG
from airflow.operators.empty import EmptyOperator
from airflow.utils.trigger_rule import TriggerRule
with DAG(
dag_id="example_nested_branch_dag",
start_date=pendulum.datetime(2021, 1, 1, tz="UTC"),
catchup=False,
schedule="@daily",
tags=["example"],
) as dag:
@task.branch()
def branch(task_id_to_return: str) -> str:
return task_id_to_return
branch_1 = branch.override(task_id="branch_1")(task_id_to_return="true_1")
join_1 = EmptyOperator(task_id="join_1", trigger_rule=TriggerRule.NONE_FAILED_MIN_ONE_SUCCESS)
true_1 = EmptyOperator(task_id="true_1")
false_1 = EmptyOperator(task_id="false_1")
branch_2 = branch.override(task_id="branch_2")(task_id_to_return="true_2")
join_2 = EmptyOperator(task_id="join_2", trigger_rule=TriggerRule.NONE_FAILED_MIN_ONE_SUCCESS)
true_2 = EmptyOperator(task_id="true_2")
false_2 = EmptyOperator(task_id="false_2")
false_3 = EmptyOperator(task_id="false_3")
branch_1 >> true_1 >> join_1
branch_1 >> false_1 >> branch_2 >> [true_2, false_2] >> join_2 >> false_3 >> join_1