dinigo opened a new issue #10443: URL: https://github.com/apache/airflow/issues/10443
**Apache Airflow version**: docker image `apache/airflow:master-python3.8` **What happened**: tasks not being scheduled to the correct pool **What you expected to happen**: If the pool for the task is set to `subdag_pool`, for the task to be queued at this pool. **How to reproduce it**: Subdag tasks take all the running slots in the current pool, so I created a separate pool for the sub-dag tasks.  And then assigned this pool to the subdags ```python brand_subdag_operator = SubDagOperator( task_id=brand_id, subdag=brand_subdag, pool='subdags_pool', ) ``` But these tasks keep being scheduled at the `default_pool` instead of the new `subdag_pool`.  ---------------------------------------------------------------- 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. For queries about this service, please contact Infrastructure at: [email protected]
