vincbeck opened a new pull request, #68634: URL: https://github.com/apache/airflow/pull/68634
## Summary When `multi_team` is enabled, tasks remain in "No status" indefinitely and Dag runs never complete. The root cause is that `get_running_dag_runs_to_examine()` returns a `ScalarResult` (a one-pass SQLAlchemy iterator). The multi-team code path added in #68108 iterates it to build a team-name mapping, exhausting the iterator before `_schedule_all_dag_runs` can consume it. As a result, zero Dag runs get processed and no task instances ever transition out of None state. The fix materializes the `ScalarResult` into a `list()` so it can be safely iterated multiple times. <!-- Generated-by: [Tool Name] following [the guidelines](https://github.com/apache/airflow/blob/main/contributing-docs/05_pull_requests.rst#gen-ai-assisted-contributions) --> --- * Read the **[Pull Request Guidelines](https://github.com/apache/airflow/blob/main/contributing-docs/05_pull_requests.rst#pull-request-guidelines)** for more information. Note: commit author/co-author name and email in commits become permanently public when merged. * For fundamental code changes, an Airflow Improvement Proposal ([AIP](https://cwiki.apache.org/confluence/display/AIRFLOW/Airflow+Improvement+Proposals)) is needed. * When adding dependency, check compliance with the [ASF 3rd Party License Policy](https://www.apache.org/legal/resolved.html#category-x). * For significant user-facing changes create newsfragment: `{pr_number}.significant.rst`, in [airflow-core/newsfragments](https://github.com/apache/airflow/tree/main/airflow-core/newsfragments). You can add this file in a follow-up commit after the PR is created so you know the PR number. -- 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: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
