kaxil commented on code in PR #62878:
URL: https://github.com/apache/airflow/pull/62878#discussion_r2934018869
##########
airflow-core/src/airflow/jobs/scheduler_job_runner.py:
##########
@@ -770,19 +770,17 @@ def _executable_task_instances_to_queued(self, max_tis:
int, session: Session) -
serialized_dag = self.scheduler_dag_bag.get_dag_for_run(
dag_run=task_instance.dag_run, session=session
)
- # If the dag is missing, fail the task and continue to the
next task.
+ # If the dag is transiently missing, skip scheduling it
this iteration
+ # and try again next time instead of bulk-failing all
scheduled tasks.
+ # See: https://github.com/apache/airflow/issues/62050
if not serialized_dag:
- self.log.error(
- "DAG '%s' for task instance %s not found in
serialized_dag table",
+ self.log.warning(
Review Comment:
When a batch has multiple TIs for the same DAG, each one will hit
`get_dag_for_run` and log this warning individually before the `starved_dags`
filter kicks in on the next query iteration. Consider checking `if dag_id in
starved_dags: continue` before entering the `has_task_concurrency_limits`
block, both to avoid redundant DB lookups and to reduce log noise.
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