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https://issues.apache.org/jira/browse/AIRFLOW-5071?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17507936#comment-17507936
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ASF GitHub Bot commented on AIRFLOW-5071:
-----------------------------------------

kenny813x201 commented on issue #10790:
URL: https://github.com/apache/airflow/issues/10790#issuecomment-1069820469


   We also got the same error message. In our case, it turns out that we are 
using the same name for different dags.
   Changing different dags from `as dag` to like `as dags1` and `as dags2` 
solve the issue for us.
   ```
   with DAG(
       "dag_name",
   ) as dag:
   ```


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> 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
>             Fix For: 1.10.12
>
>         Attachments: image-2020-01-27-18-10-29-124.png, 
> image-2020-07-08-07-58-42-972.png
>
>
> 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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