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Posted to commits@airflow.apache.org by "Kallam Reddy (Jira)" <ji...@apache.org> on 2019/12/05 23:25:00 UTC

[jira] [Commented] (AIRFLOW-5071) Thousand os Executor reports task instance X finished (success) although the task says its queued. Was the task killed externally?

    [ https://issues.apache.org/jira/browse/AIRFLOW-5071?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16989246#comment-16989246 ] 

Kallam Reddy commented on AIRFLOW-5071:
---------------------------------------

Is there a solution for this issue, I am also running into this. I am getting lot of emails saying that "Executor reports task instance finished (success) although the task says its queued. Was the task killed externally?"

> Thousand os Executor reports task instance X finished (success) although the task says its queued. Was the task killed externally?
> ----------------------------------------------------------------------------------------------------------------------------------
>
>                 Key: AIRFLOW-5071
>                 URL: https://issues.apache.org/jira/browse/AIRFLOW-5071
>             Project: Apache Airflow
>          Issue Type: Bug
>          Components: DAG, scheduler
>    Affects Versions: 1.10.3
>            Reporter: msempere
>            Priority: Critical
>
> I'm opening this issue because since I update to 1.10.3 I'm seeing thousands of daily messages like the following in the logs:
>  
> ```
>  {{__init__.py:1580}} ERROR - Executor reports task instance <TaskInstance: X 2019-07-29 00:00:00+00:00 [queued]> finished (success) although the task says its queued. Was the task killed externally?
> {{jobs.py:1484}} ERROR - Executor reports task instance <TaskInstance: X 2019-07-29 00:00:00+00:00 [queued]> finished (success) although the task says its queued. Was the task killed externally?
> ```
> -And looks like this is triggering also thousand of daily emails because the flag to send email in case of failure is set to True.-
> I have Airflow setup to use Celery and Redis as a backend queue service.



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