JH-A-Kim commented on code in PR #67994: URL: https://github.com/apache/airflow/pull/67994#discussion_r3384426629
########## airflow-core/docs/core-concepts/overview.rst: ########## @@ -49,15 +49,19 @@ A minimal Airflow installation consists of the following components: a configuration property of the *scheduler*, not a separate component and runs within the scheduler process. There are several executors available out of the box, and you can also write your own. -* A *Dag processor*, which parses Dag files and serializes them into the +* A *Dag processor*, which parses Dag files from a *Dag bundle* and serializes them into the *metadata database*. More about processing Dag files can be found in :doc:`/administration-and-deployment/dagfile-processing` -* A *webserver*, which presents a handy user interface to inspect, trigger and debug the behaviour of - Dags and tasks. +* A *Dag bundle*, which is configured for the *Dag processor* to parse Dag files from and allow *workers* to access the correct version of the Dag file. By default, this is a local folder on disk. More about Dag bundles can be found in + :doc:`/administration-and-deployment/dag-bundles` -* A folder of *Dag files*, which is read by the *scheduler* to figure out what tasks to run and when to - run them. +* An *API Server*, which serves the REST API and presents a handy user interface to inspect, trigger and debug the behaviour of + Dags and tasks. The API server is also used by *workers* to communicate state back to Airflow, without requiring direct access Review Comment: Thank you for the help. I resolved in this commit ed153f0b9d2b124fdb2cfe2d7e479c5ee50bc94d Thank you! -- 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]
