wjddn279 commented on issue #57487: URL: https://github.com/apache/airflow/issues/57487#issuecomment-3461619074
You can reduce the number of default worker processes (which is 32 by default) using the `AIRFLOW__CORE__PARALLELISM: 5` option. I am investigating other causes for the memory increase in the worker processes and will share my findings once I identify them. In my opinion, achieving parallelism through Python threads may not always behave as expected (since this is not typical concept of thread). In that case, the only option left is to create separate processes. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
