lucidumio commented on issue #55768: URL: https://github.com/apache/airflow/issues/55768#issuecomment-3344209617
I am having the same issue too. We also run Airflow in dockers. The same DAGs ran well in Airflow 2 for years, only using less than 15 GB of memory. After migrating to 3.1.0, the scheduler alone takes up over 128 GB of memory in 2 days. This is certainly unacceptable in the production environment. We have to roll back to Airflow 2. -- 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]
