uranusjr commented on code in PR #71072:
URL: https://github.com/apache/airflow/pull/71072#discussion_r3793724947
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airflow-core/src/airflow/jobs/scheduler_job_runner.py:
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@@ -357,6 +358,10 @@ def __init__(
self._multi_team = conf.getboolean("core", "multi_team")
self._dag_tags_in_metrics = conf.getboolean("metrics",
"dag_tags_in_metrics", fallback=False)
self._max_partition_dag_runs_per_loop = MAX_PARTITION_DAG_RUNS_PER_LOOP
+ # Edge-triggers the "partition Dag run cap reached" audit Log row:
True once that row
+ # has been committed for the current backlog episode, reset to False
once the backlog
+ # drains below the cap.
+ self._partition_cap_backlog_reported = False
Review Comment:
Does HA scheduler affect this? Does the “reported” state need to be
propagated to other schedulers?
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