anishgirianish commented on code in PR #62343:
URL: https://github.com/apache/airflow/pull/62343#discussion_r3177842203
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airflow-core/src/airflow/jobs/scheduler_job_runner.py:
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@@ -3189,6 +3208,88 @@ def _activate_assets_generate_warnings() ->
Iterator[tuple[str, str]]:
session.add(warning)
existing_warned_dag_ids.add(warning.dag_id)
+ def _enqueue_connection_tests(self, *, session: Session) -> None:
+ """Enqueue pending connection tests to executors that support them."""
+ max_concurrency = conf.getint("scheduler",
"max_connection_test_concurrency", fallback=4)
+ timeout = conf.getint("scheduler", "connection_test_timeout",
fallback=60)
+
+ num_occupied_slots = sum(executor.slots_occupied for executor in
self.executors)
+ parallelism_budget = conf.getint("core", "parallelism") -
num_occupied_slots
+ if parallelism_budget <= 0:
+ return
+
+ active_count = session.scalar(
Review Comment:
Took your option-3 path: documented N * max_concurrency per-tick ceiling in
the docstring, kept max_concurrency as per-scheduler. Sentinel-row breadcrumb
in the docstring if you'd prefer the global cap later. thank you
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