[GitHub] [airflow] AlexisBRENON opened a new issue, #32346: Sub-hour scheduling without catchup result in unaligned data intervals

[via GitHub]

AlexisBRENON opened a new issue, #32346:
URL: https://github.com/apache/airflow/issues/32346

   ### Apache Airflow version
   
   2.6.2
   
   ### What happened
   
   I setup a DAG to run every 15 minutes, with a start date aligned on hour 
start, to have it scheduled with data interval like:
   - hh:00 - hh:15
   - hh:15 - hh:30
   - hh:30 - hh:45
   - hh:45 - hh+1:00
   
   But if I disable catchup, the resulting intervals are not hour aligned, 
whatever the start date, but aligned with the time when I unpaused the DAG.
   
   ### What you think should happen instead
   
   I expect the DAG schedules to still be hour aligned, but just skip any 
"missed" schedule.
   
   ### How to reproduce
   
   Create two similar DAGs (with just the `catchup` argument changing):
   ```python
   from airflow.models.dag import DAG
   from airflow.operators.empty import EmptyOperator
   import datetime
   
   with DAG(dag_id="with_catch",
            start_date=datetime.datetime(2023, 7, 4, 12, 
tzinfo=datetime.timezone.utc),
           schedule=datetime.timedelta(minutes=30),
       catchup=True) as dag1:
           EmptyOperator(task_id="task")
   
   
   with DAG(dag_id="no_catch",
            start_date=datetime.datetime(2023, 7, 4, 12, 
tzinfo=datetime.timezone.utc),
           schedule=datetime.timedelta(minutes=30),
       catchup=False) as dag1:
           EmptyOperator(task_id="task")
   ```
   
   ### Operating System
   
   Arch Linux
   
   ### Versions of Apache Airflow Providers
   
   _No response_
   
   ### Deployment
   
   Other Docker-based deployment
   
   ### Deployment details
   
   ```bash
   docker run --rm -it -v /tmp/dags:/opt/airflow/dags -p 8080:8080 --entrypoint 
airflow apache/airflow:2.6.2 standalone
   ```
   
   ### Anything else
   
   _No response_
   
   ### Are you willing to submit PR?
   
   - [X] 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)
   


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