Clearing a task instance doesn’t delete the task instance record. The errors after going through the logs, you can re-run the tasks by clearing them for the Some of the tasks can fail during the scheduled run. This behavior is great for atomic datasets that can easily be split into periods. If the dag.catchup value had been True instead, the scheduler would have created a DAG Runįor each completed interval between -02 (but not yet one for ,Īs that interval hasn’t completed) and the scheduler will execute them sequentially.Ĭatchup is also triggered when you turn off a DAG for a specified period and then re-enable it. For a more detailed description of theĭifferences between a cron and a delta based schedule, take a look at the 06:00 (one schedule interval ending now). In such a case, the single DAG Run created will cover data between 06:00 and Just after midnight on the morning of with a data interval betweenīe aware that using a datetime.timedelta object as schedule can lead to a different behavior. With a data between -02, and the next one will be created at 6 AM, (or from the command line), a single DAG Run will be created In the example above, if the DAG is picked up by the scheduler daemon on datetime ( 2015, 12, 1, tz = "UTC" ), description = "A simple tutorial DAG", schedule =, catchup = False, )
Airflow scheduler timezone code#
""" Code that goes along with the Airflow tutorial located at: """ from import DAG from import BashOperator import datetime import pendulum dag = DAG ( "tutorial", default_args =, start_date = pendulum. When tasks in the DAG will start running. The same logical date, it marks the start of the DAG’s first data interval, not Similarly, since the start_date argument for the DAG and its tasks points to Of a DAG run, for example, denotes the start of the data interval, not when the “logical date” (also called execution_date in Airflow versions prior to 2.2) after 00:00:00.Īll dates in Airflow are tied to the data interval concept in some way. Other words, a run covering the data period of generally does not To ensure the run is able to collect all the data within the time period. Its data interval would start each day at midnight (00:00) and end at midnightĪ DAG run is usually scheduled after its associated data interval has ended, For a DAG scheduled with for example, each of Each DAG run in Airflow has an assigned “data interval” that represents the time
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