eladkal commented on issue #41816: URL: https://github.com/apache/airflow/issues/41816#issuecomment-2314604725
If there is a 100 limit why Databricks don't raise error when you create the notebook? > However, this limit does not affect during job creation This feels more like a feature request to Databricks. If the API call return exception Airflow will notify users about the problem if they don't then this is not really Airflow problem. We should avoid trying to solve services problems within Airflow. If Databricks decides to change the limit to 200 or 50. What then? We will need to release a new version of the provider to accommodate. What about all the users who run previous versions? -- 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]
