uranusjr commented on code in PR #32122:
URL: https://github.com/apache/airflow/pull/32122#discussion_r1264984045
##########
airflow/jobs/scheduler_job_runner.py:
##########
@@ -277,9 +288,51 @@ def __get_concurrency_maps(self, states:
Iterable[TaskInstanceState], session: S
.where(TI.state.in_(states))
.group_by(TI.task_id, TI.run_id, TI.dag_id)
)
- return ConcurrencyMap.from_concurrency_map(
- {(dag_id, run_id, task_id): count for task_id, run_id, dag_id,
count in ti_concurrency_query}
+ ti_concurrency = {
+ (dag_id, run_id, task_id): count for task_id, run_id, dag_id,
count in ti_concurrency_query
+ }
+
+ tg_concurrency_query: Iterator[tuple[str, str, str, int]] =
session.execute(
+ select(TI.task_id, TI.run_id, TI.dag_id, TI.map_index)
+ .where(
+ TI.map_index >= 0,
+ TI.state.in_(
+ (
+ TaskInstanceState.SCHEDULED,
+ TaskInstanceState.QUEUED,
+ TaskInstanceState.RUNNING,
+ TaskInstanceState.UP_FOR_RESCHEDULE,
+ TaskInstanceState.UP_FOR_RETRY,
+ )
Review Comment:
None means the task instance has not been touched by the scheduler at all,
which is impossible in this context. So I would suggest using
`TaskInstance.state.in_(s for s in State.unfinished if s is not None)`
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