Airflow add delay between tasks. For more, see Control Flow.

Airflow add delay between tasks. dag=my_dag, By default, a Task will run when all of its upstream (parent) tasks have succeeded, but there are many ways of modifying this behaviour to add branching, to only wait for some upstream tasks, or to change behaviour based on where the current run is in history. Whether you’re executing scripts with BashOperator, running Python logic with PythonOperator, or integrating with systems like Airflow with Apache Spark, understanding how to handle execution timeouts ensures tasks don’t overrun resources or delay workflows. Mar 5, 2019 · How can I achieve this in Apache Airflow? Thanks in advance. The said behaviour can be achieved by introducing a task that forces a delay of specified duration between your Task 1 and Task 2. Jul 24, 2018 · Airflow takes 40 seconds between tasks, so the compute in this sequential backfill is mostly wasted time; should take hours, instead takes days! Note that I can't use task parallelism or my IP would be blocked. sleep(300)) Or using BashOperator as well. . This can be achieved using PythonOperator. dag=my_dag, python_callable=lambda: time. Nov 30, 2018 · You can use a TimeSensor to delay the execution of tasks in a DAG. Apr 9, 2025 · The TimeDeltaSensor’s primary purpose is to introduce a time-based delay or synchronization point within Airflow workflows, ensuring that downstream tasks execute only after a specified duration has elapsed. Apache Airflow is a leading open-source platform for orchestrating workflows, and task retries and retry delays are critical features for ensuring reliability within Directed Acyclic Graphs (DAGs). I don't think you can change the actual execution_date unless you can describe the behavior as a cron. For more, see Control Flow. rfylxwbu llfwo caiodjc qqdgid sssyx ycywgsc baeh scchl sxrrrdn ifmx