[jira] [Commented] (AIRFLOW-2761) Parallelize Celery Executor enqueuing

["Teresa Martyny (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/AIRFLOW-2761?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16835061#comment-16835061 ] 

Teresa Martyny commented on AIRFLOW-2761:
-----------------------------------------

Hey there,

We're seeing a quite a few process time outs raising during our core pipeline run. We traced it back to CeleryExecutor#sync calling #fetch_celery_task_state and timing out here:


```
with timeout(seconds=2):
  # Accessing state property of celery task will make actual network request
  # to get the current state of the task.
  res = (celery_task[0], celery_task[1].state) 
```

along with an AirflowTaskTimeout raising here:
```
if isinstance(result, ExceptionWithTraceback):
 self.log.error(
 CELERY_SEND_ERR_MSG_HEADER + ":{}\n{}\n".format(
 result.exception, result.traceback))
```

Any suggestions as to what might be causing these timeouts in syncing the task state that we could fix on our end?
Thanks!!

> Parallelize Celery Executor enqueuing
> -------------------------------------
>
>                 Key: AIRFLOW-2761
>                 URL: https://issues.apache.org/jira/browse/AIRFLOW-2761
>             Project: Apache Airflow
>          Issue Type: Improvement
>          Components: celery
>            Reporter: Kevin Yang
>            Priority: Major
>             Fix For: 1.10.3
>
>
> Currently celery executor enqueues in an async fashion but still doing that in a single process loop. This can slows down scheduler loop and creates scheduling delay if we have large # of task to schedule in a short time, e.g. UTC midnight we need to schedule large # of sensors in a short period.



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