potiuk commented on code in PR #25121: URL: https://github.com/apache/airflow/pull/25121#discussion_r923446715
########## docs/apache-airflow/howto/dynamic-dag-generation.rst: ########## @@ -140,3 +140,20 @@ Each of them can run separately with related configuration .. warning:: Using this practice, pay attention to "late binding" behaviour in Python loops. See `that GitHub discussion <https://github.com/apache/airflow/discussions/21278#discussioncomment-2103559>`_ for more details + + +Optimizing DAG parsing in workers/Kubernetes Pods Review Comment: Hmm. I was quite sure celery worker is also doing "airflow run task" under the hood - but yeah. I think with pre-fork model on Celery it behaves like that. I think it still can be an optimised also for celery but yeah. We should work out the "generic" way of distinguishing between "scheduler" / "dag processor" and "task execution" -- 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]
