You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@airflow.apache.org by GitBox <gi...@apache.org> on 2021/12/27 01:17:54 UTC

[GitHub] [airflow] ShakaibKhan commented on issue #19511: With large number of DAGS, dag_run state takes long time to update after last task

ShakaibKhan commented on issue #19511:
URL: https://github.com/apache/airflow/issues/19511#issuecomment-1001276962


   On v2.3.0.dev0 and I created 1000 DAGs w/ 4 task all printing hello world (Using Sequential Executor and default configs) and am able to see DAG status update pretty much immediately. I will try again in version 2.2 and using CeleryExecutor


-- 
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: commits-unsubscribe@airflow.apache.org

For queries about this service, please contact Infrastructure at:
users@infra.apache.org