schattian commented on issue #23497:
URL: https://github.com/apache/airflow/issues/23497#issuecomment-1318967988

   fyi @potiuk @swalkowski after investigating a bit more this issue, seems 
there's a walkaround by using the kubernetes executor.
   Using celery executor means that the job status is not updated till the pid 
that observes the execution finishes (execution which hangs by the logs api)
   
   Using k8s executor, the status is updated based on pod status instead so it 
does not hang (as pod status was always updated correctly, but job wasnt)
   
   Im trying it but so far it's working, will update.


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