[GitHub] [airflow] ashb commented on a diff in pull request #25309: Add `op_classpath` in log

[GitBox <gi...@apache.org>]

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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