This allows for a backfill on tasks that have depends_on_past=True to actually start, if it wasn’t the case, the backfill just wouldn’t start. It’ also important to watch DagRun activity status in time when introducing new depends_on_past=True, unless you are planning on running a backfill for the new task(s).Īlso important to note is that the tasks start_date, in the context of a backfill CLI command, get overridden by the backfill’s command start_date. En marzo de 2016 el proyecto se acoge a la. El proyecto fue creado en octubre de 2014 en Airbnb por Maxime Beauchemin y publicado con licencia open source en junio de 2015. When using depends_on_past=True it’s important to pay special attention to start_date as the past dependency is not enforced only on the specific schedule of the start_date specified for the task. Apache Airflow es una herramienta de tipo workflow manager, o en espaol: gestionar, monitorizar y planificar flujos de trabajo, usada como orquestador de servicios. While schedule_interval does allow specifying a datetime.timedelta object, we recommend using the macros or cron expressions instead, as it enforces this idea of rounded schedules. You can use any sensor or a TimeDeltaSensor to delay the execution of tasks within that period. This means an be at 00:00 minutes:seconds, a at midnight, a on the first of the month. We also recommend using rounded start_date in relation to your schedule_interval. The task is triggered once the period closes, and in theory an would never get to an hour after now as now() moves along. We recommend against using dynamic values as start_date, especially datetime.now() as it can be quite confusing. When introducing new tasks to your DAG, you need to pay special attention to start_date, and may want to reactivate inactive DagRuns to get the new task to get onboarded properly.

From that point on, the scheduler creates new DagRuns based on your schedule_interval and the corresponding task instances run as your dependencies are met. The first DagRun to be created will be based on the min(start_date) for all your task.

When creating a new DAG, you probably want to set a global start_date for your tasks using default_args. Start_date is partly legacy from the pre-DagRun era, but it is still relevant in many ways.

Airbnb airflow icon