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From Maciej Bryński (JIRA) <j...@apache.org>
Subject [jira] [Comment Edited] (AIRFLOW-401) scheduler gets stuck without a trace
Date Thu, 15 Sep 2016 18:32:20 GMT

    [ https://issues.apache.org/jira/browse/AIRFLOW-401?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15473369#comment-15473369
] 

Maciej Bryński edited comment on AIRFLOW-401 at 9/15/16 6:31 PM:
-----------------------------------------------------------------

After upgrading to master everything works so slowly.

I have 3 scheduler, 3 workers and most of the logs I see 
{code}
[2016-09-08 09:26:36,444] {jobs.py:1346} INFO - Heartbeating the process manager
[2016-09-08 09:26:36,444] {jobs.py:1383} INFO - Heartbeating the executor
{code}
And there is new run every few minutes


was (Author: maver1ck):
After upgrading to master everything works so fucking slowly.

I have 3 scheduler, 3 workers and most of the logs I see 
{code}
[2016-09-08 09:26:36,444] {jobs.py:1346} INFO - Heartbeating the process manager
[2016-09-08 09:26:36,444] {jobs.py:1383} INFO - Heartbeating the executor
{code}
And there is new run every few minutes

> scheduler gets stuck without a trace
> ------------------------------------
>
>                 Key: AIRFLOW-401
>                 URL: https://issues.apache.org/jira/browse/AIRFLOW-401
>             Project: Apache Airflow
>          Issue Type: Bug
>          Components: executor, scheduler
>    Affects Versions: Airflow 1.7.1.3
>            Reporter: Nadeem Ahmed Nazeer
>            Assignee: Bolke de Bruin
>            Priority: Minor
>         Attachments: Dag_code.txt, schduler_cpu100%.png, scheduler_stuck.png, scheduler_stuck_7hours.png
>
>
> The scheduler gets stuck without a trace or error. When this happens, the CPU usage of
scheduler service is at 100%. No jobs get submitted and everything comes to a halt. Looks
it goes into some kind of infinite loop. 
> The only way I could make it run again is by manually restarting the scheduler service.
But again, after running some tasks it gets stuck. I've tried with both Celery and Local executors
but same issue occurs. I am using the -n 3 parameter while starting scheduler. 
> Scheduler configs,
> job_heartbeat_sec = 5
> scheduler_heartbeat_sec = 5
> executor = LocalExecutor
> parallelism = 32
> Please help. I would be happy to provide any other information needed



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