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Posted to commits@airflow.apache.org by "Chris Osborn (Jira)" <ji...@apache.org> on 2021/02/08 23:10:00 UTC
[jira] [Commented] (AIRFLOW-5506) Airflow scheduler stuck
[ https://issues.apache.org/jira/browse/AIRFLOW-5506?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17281440#comment-17281440 ]
Chris Osborn commented on AIRFLOW-5506:
---------------------------------------
This is also happening for me in AWS MWAA v. 1.10.12. AWS uses postgres for the airflow metadata db. I have tried setting `check_slas=False` to no avail.
> Airflow scheduler stuck
> -----------------------
>
> Key: AIRFLOW-5506
> URL: https://issues.apache.org/jira/browse/AIRFLOW-5506
> Project: Apache Airflow
> Issue Type: Bug
> Components: scheduler
> Affects Versions: 1.10.4, 1.10.5, 1.10.6
> Reporter: t oo
> Priority: Major
>
> re-post of [https://stackoverflow.com/questions/57713394/airflow-scheduler-stuck] and slack discussion
>
>
> I'm testing the use of Airflow, and after triggering a (seemingly) large number of DAGs at the same time, it seems to just fail to schedule anything and starts killing processes. These are the logs the scheduler prints:
> {{[2019-08-29 11:17:13,542] \{scheduler_job.py:214} WARNING - Killing PID 199809
> [2019-08-29 11:17:13,544] \{scheduler_job.py:214} WARNING - Killing PID 199809
> [2019-08-29 11:17:44,614] \{scheduler_job.py:214} WARNING - Killing PID 2992
> [2019-08-29 11:17:44,614] \{scheduler_job.py:214} WARNING - Killing PID 2992
> [2019-08-29 11:18:15,692] \{scheduler_job.py:214} WARNING - Killing PID 5174
> [2019-08-29 11:18:15,693] \{scheduler_job.py:214} WARNING - Killing PID 5174
> [2019-08-29 11:18:46,765] \{scheduler_job.py:214} WARNING - Killing PID 22410
> [2019-08-29 11:18:46,766] \{scheduler_job.py:214} WARNING - Killing PID 22410
> [2019-08-29 11:19:17,845] \{scheduler_job.py:214} WARNING - Killing PID 42177
> [2019-08-29 11:19:17,846] \{scheduler_job.py:214} WARNING - Killing PID 42177
> ...}}
> I'm using a LocalExecutor with a PostgreSQL backend DB. It seems to be happening only after I'm triggering a large number (>100) of DAGs at about the same time using external triggering. As in:
> {{airflow trigger_dag DAG_NAME}}
> After waiting for it to finish killing whatever processes he is killing, he starts executing all of the tasks properly. I don't even know what these processes were, as I can't really see them after they are killed...
> Did anyone encounter this kind of behavior? Any idea why would that happen?
>
>
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