ashb commented on code in PR #25309:
URL: https://github.com/apache/airflow/pull/25309#discussion_r930046477
##########
airflow/jobs/scheduler_job.py:
##########
@@ -636,8 +636,24 @@ def _process_executor_events(self, session: Session) ->
int:
"run_start_date=%s, run_end_date=%s, "
"run_duration=%s, state=%s, executor_state=%s, try_number=%s,
max_tries=%s, job_id=%s, "
"pool=%s, queue=%s, priority_weight=%d, operator=%s,
queued_dttm=%s, "
- "queued_by_job_id=%s, pid=%s"
+ "queued_by_job_id=%s, pid=%s, op_classpath=%s"
)
+
+ # Adding op_class path for the task instance log in order to track
where the
+ # operator/sensor originated from
+ # Get task from the Serialized DAG
+ try:
+ dag = self.dagbag.get_dag(ti.dag_id)
Review Comment:
This is, comparatively a _very_ expensive operation so I am wary of adding
this feature like this without knowing how much it would impact performance in
many large dags+high scheduling throughput cases.
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