fat-catTW opened a new pull request, #71331:
URL: https://github.com/apache/airflow/pull/71331

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   ## Why
   
   `SchedulerJobRunner._create_dag_runs()` had a TODO asking whether the 
scheduler should call `session.flush()` or `session.expunge_all()` while 
creating scheduled DagRuns.
   
   The concern behind the TODO is that the scheduler may iterate over multiple 
Dags, create scheduled DagRuns, update `DagModel` scheduling fields, and create 
task instance rows in the same SQLAlchemy session. For larger Dags or larger 
batches of Dags, leaving ORM state pending until the outer transaction boundary 
can make it harder to reason about session growth and memory behavior.
   
   This PR resolves that TODO by flushing after each successful scheduled 
DagRun creation and related `DagModel` scheduling-state update.
   
   ## Why `flush()` Instead of `expunge_all()`
   
   The narrower operation is enough for the state observed in this path.
   
   `session.flush()` writes pending ORM changes to the database transaction 
while keeping objects attached to the session. That directly addresses the 
observed pending/dirty scheduler state after creating a scheduled DagRun and 
updating the corresponding `DagModel`.
   
   `session.expunge_all()` does something broader: it detaches every ORM object 
from the session. That can reduce identity-map retention, but it also carries 
more behavioral risk because later scheduler code may still expect ORM objects 
to be attached, refreshable, or tracked by the session.
   
   To decide whether `expunge_all()` was needed, this path was checked for 
retained ORM objects after DagRun creation. If creating larger Dags left one 
tracked `DagRun` or `TaskInstance` object per created row, `flush()` would not 
address that memory growth because it does not clear the session identity map.
   
   A local pressure check with 20 Dags and 500 tasks per Dag created 10,000 
TaskInstance rows. After `_create_dag_runs()` returned, the observed session 
state was:
   
   ```text
   session.new: 0
   session.dirty: 0
   identity_map: Counter({'DagModel': 20, 'DagVersion': 1, 
'SerializedDagModel': 1, 'DagCode': 1})
   ```
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