henry3260 opened a new pull request, #66488:
URL: https://github.com/apache/airflow/pull/66488

   ## Why
   
   `_get_latest_runs_stmt()` and `_get_latest_runs_stmt_partitioned()` returned 
`DagRun` rows with only part of the timetable-related state loaded. Later in 
the same flow, `DagModel.calculate_dagrun_date_fields()` passes that `DagRun` 
into `timetable.run_info_from_dag_run()`, which reads `run_after`, 
`partition_date`, and `partition_key`.
   
   Because those fields were omitted from `load_only()`, SQLAlchemy could 
lazily fetch them later, adding an extra round trip for each Daf. Loading the 
fields up front keeps the query aligned with how the returned `DagRun` is 
actually used and avoids that follow-up query.
   
   FYI: this change does not alter scheduling behavior. It only makes the 
latest-run lookup load the fields that the downstream timetable calculation 
already depends on.
   
   
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