john-jac opened a new pull request #18954: URL: https://github.com/apache/airflow/pull/18954
One of the challenges for Airflow users it to understand how the Airflow Scheduler turns Python code into DAGs. Often users will be confused as to why their DAGs don't show up in the user interface, or they'll see DAG processing errors and not know why. This documentation entry is intended to clarify the process to new and experienced users alike, by providing a concise description of the process, along with a diagram of the flow and links to key configuration values that affect the way Airflow processes DAGs. -- 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]
