jens-scheffler-bosch opened a new issue, #33948: URL: https://github.com/apache/airflow/issues/33948
### Apache Airflow version 2.7.0 ### What happened Relates to investigation of #30327 When a DAG with a timetable with `schedule=EventsTimetable()` and `catchup=False` is defined, all planned events are executed even if they are in the past. Note: If this is not a bug but a feature, the docs should mention it that the `EventsTimetable` ignores the `catchup` flag. But docs do not tell about this. ### What you think should happen instead With `catchup=False` I would have expected no past events are scheduled or maximum the one matching the last occurrence. ### How to reproduce Setup a test DAG with an event time table like the following example and enable scheduling. Wait a moment and all past event dates are executed. ``` with DAG( dag_id="after_workday_events_regression", start_date=pendulum.datetime(2023, 8, 1, tz="UTC"), catchup=False, schedule=EventsTimetable( event_dates=[ pendulum.datetime(2023, 8, 1, 1, 0, tz="America/Chicago"), pendulum.datetime(2023, 8, 2, 1, 0, tz="America/Chicago"), pendulum.datetime(2023, 8, 3, 1, 0, tz="America/Chicago"), ], description="My Team's Baseball Games", restrict_to_events=False, ), params=DUMMY_PARAM ): @task def test(ti: TaskInstance=None): print(ti.execution_date) test() ``` ### Operating System Ubuntu 20.04 / Breeze Dev setup in Py 3.8 Container ### Versions of Apache Airflow Providers not relevant. ### Deployment Other ### Deployment details Started and tested with latest main branch and breeze. ### Anything else I tried to find the root cause but was not able to locate it. Suspect it is rooted in `scheduler_job_runner.py`. I'd supply a fix but was not able to fund the root cause. Expert knowledge is needed probably. ### Are you willing to submit PR? - [ ] Yes I am willing to submit a PR! ### Code of Conduct - [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md) -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: commits-unsubscr...@airflow.apache.org.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org