Lee-W commented on code in PR #71072:
URL: https://github.com/apache/airflow/pull/71072#discussion_r3811881273
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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:
`_partition_cap_backlog_reported` is not shared across HA scheduler
replicas. Worst case is one audit row per active scheduler per episode instead
of one globally. It's redundant but not incorrect, since the write is purely
observational. Added a comment for it.
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