xBis7 commented on code in PR #71737:
URL: https://github.com/apache/airflow/pull/71737#discussion_r4391464875
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airflow-core/src/airflow/models/dagrun.py:
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@@ -1479,8 +1561,39 @@ def recalculate(self) -> _UnfinishedStates:
@provide_session
def task_instance_scheduling_decisions(self, *, session: Session =
NEW_SESSION) -> TISchedulingDecision:
- tis = self.get_task_instances(session=session, state=State.task_states)
- self.log.debug("number of tis tasks for %s: %s task(s)", self,
len(tis))
+ # Fetch finished task instances as lightweight read-only rows and only
the
+ # unfinished ones as full ORM objects. Finished ones are never mutated
during
+ # scheduling, so hydrating them is pure overhead.
+ #
+ # Flush here to avoid task instances ending up in the wrong list or in
both,
+ # in case of a pending in-session state change.
+ # The airflow session maker sets autoflush=False (ref
settings.configure_orm).
+ session.flush()
Review Comment:
> Moving self.last_scheduling_decision = start_dttm to after the
task_instance_scheduling_decisions call keeps this flush for the case it's
there for (pending in-memory TI state changes) but makes it a no-op on the
scheduler path.
I tried this when @vatsrahul1001 commented about the increase in the queries
and it didn't work.
I'll explore the other suggestion.
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