o-nikolas opened a new pull request, #60675:
URL: https://github.com/apache/airflow/pull/60675

   Updating the Celery executor to read from team based config and also support 
multiple instances running concurrently.
   
   The latter is the largest source of changes. Much of the celery 
configuration (both Airflow config and Celery config) was module based. Modules 
are cached and shared in Python. So the majority of the changes are moving that 
module level config code to be function based (while trying to also maintain 
backwards compatibility).
   
   The way Celery tasks are sent to workers also changed as a consequence of 
this. Since sending tasks is parallelized with multiple processes (which do not 
share memory with the parent) the send task logic now re-creates a celery app 
in the sub processes (since the pickling and unpickling that python does to try 
pass state to the sub processes was not reliably creating the correct celery 
app objects).
   
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