steveyz-astro commented on a change in pull request #19097:
URL: https://github.com/apache/airflow/pull/19097#discussion_r732913929
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File path: airflow/jobs/scheduler_job.py
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@@ -529,6 +529,17 @@ def _process_executor_events(self, session: Session =
None) -> int:
self.log.info("Setting external_id for %s to %s", ti, info)
continue
+ msg = ("TaskInstance Finished: dag_id=%s, task_id=%s, run_id=%s, "
+ "run_start_time=%f, run_end_time=%f, "
+ "run_duration=%f, state=%s, executor_state=%s,
try_number=%d, max_tries=%d, job_id=%d, "
+ "pool=%s, queue=%s, priority_weight=%d, operator=%s"
+ )
+ self.log.info(msg, ti.dag_id, ti.task_id, ti.run_id,
+ ti.start_date.timestamp() if ti.start_date is not
None else 0,
+ ti.end_date.timestamp() if ti.end_date is not None
else 0,
Review comment:
Another minor point I was going back and forth with was if it ok that I
was changing the labels of these to be run_start/end_time rather than what they
are internally as start/end_date, just to make it less confusing vs data
interval
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