pegasas commented on PR #33117: URL: https://github.com/apache/airflow/pull/33117#issuecomment-1677102399
Hi, @potiuk , Here's my new proposal. To implement multi DAG processor embedded in the scheduler on different nodes, we should: https://github.com/apache/airflow/blob/main/airflow/dag_processing/manager.py#L1075-L1101 1. Saving DAG files in DFS, I will start from S3, and leverage S3Hook. https://github.com/apache/airflow/blob/main/airflow/providers/amazon/aws/hooks/s3.py 2. Leverage AMQP-support MQ from Celery for the scheduler on different nodes for picking the DFS file path. After parsing the DAG and saving it to DB, the message will be confirmed & deleted. What do you think about it? -- 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]
