trigger_target_dag

Example usage of the TriggerDagRunOperator. This example holds 2 DAGs: 1. 1st DAG (example_trigger_controller_dag) holds a TriggerDagRunOperator, which will trigger the 2nd DAG 2. 2nd DAG (example_trigger_target_dag) which will be triggered by the TriggerDagRunOperator in the 1st DAG

Airflow Fundamentals


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Last Updated: Feb. 17, 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:

#
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# 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
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# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
"""
Example usage of the TriggerDagRunOperator. This example holds 2 DAGs:
1. 1st DAG (example_trigger_controller_dag) holds a TriggerDagRunOperator, which will trigger the 2nd DAG
2. 2nd DAG (example_trigger_target_dag) which will be triggered by the TriggerDagRunOperator in the 1st DAG
"""
from __future__ import annotations
import pendulum
from airflow.decorators import task
from airflow.models.dag import DAG
from airflow.operators.bash import BashOperator
@task(task_id="run_this")
def run_this_func(dag_run=None):
"""
Print the payload "message" passed to the DagRun conf attribute.
:param dag_run: The DagRun object
"""
print(f"Remotely received value of {dag_run.conf.get('message')} for key=message")
with DAG(
dag_id="example_trigger_target_dag",
start_date=pendulum.datetime(2021, 1, 1, tz="UTC"),
catchup=False,
schedule=None,
tags=["example"],
) as dag:
run_this = run_this_func()
bash_task = BashOperator(
task_id="bash_task",
bash_command='echo "Here is the message: $message"',
env={"message": '{{ dag_run.conf.get("message") }}'},
)