KarthikeyanDevendhiran commented on issue #51301: URL: https://github.com/apache/airflow/issues/51301#issuecomment-2944290908
@karenbraganz , I appreciate your insights. However, I'm puzzled as to why tasks remain in a pending state despite having sufficient instances available in my Databricks instance pool. While I experienced this issue occasionally with the previous Airflow version, it has become more frequent since upgrading to 2.10.5. For instance, out of 20 DAGs, I encounter this problem with 2-4 DAGs every three days, where the pods get stuck in a queued state and ultimately fail. Is this a common occurrence with the new update, or should I be concerned about this behavior? -- 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]
