vikrantkumar-max opened a new pull request, #55126:
URL: https://github.com/apache/airflow/pull/55126
closes: #54932
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## Root Cause
- DAG removal marks `DagModel.is_stale=True` but doesn't handle existing
task instances
- Scheduler's `_schedule_dag_run()` method calls `get_dag_for_run()` which
returns `None` for removed DAGs
- Current error handling logs the issue but continues processing, leading to
repeated failures
## Solution
Added stale DAG detection in `_schedule_dag_run()` method in
`scheduler_job_runner.py`:
1. **Check for stale DAGs**: Added condition `if dag_model.is_stale and not
dag`
2. **Graceful handling**: Log warning and skip processing instead of failing
3. **Clean exit**: Return immediately to prevent scheduler errors
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