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Posted to commits@airflow.apache.org by GitBox <gi...@apache.org> on 2020/03/02 10:10:30 UTC

[GitHub] [airflow] mik-laj commented on a change in pull request #7476: [AIRFLOW-6856] Bulk fetch paused_dag_ids

mik-laj commented on a change in pull request #7476: [AIRFLOW-6856] Bulk fetch paused_dag_ids
URL: https://github.com/apache/airflow/pull/7476#discussion_r386300967
 
 

 ##########
 File path: airflow/jobs/scheduler_job.py
 ##########
 @@ -816,7 +811,12 @@ def process_file(self, file_path, zombies, pickle_dags=False, session=None):
         # Save individual DAGs in the ORM and update DagModel.last_scheduled_time
         dagbag.sync_to_db()
 
-        paused_dag_ids = {dag.dag_id for dag in dagbag.dags.values() if dag.is_paused}
+        paused_dag_ids = (
+            session.query(DagModel.dag_id)
+            .filter(DagModel.is_paused.is_(True))
+            .filter(DagModel.dag_id.in_(dagbag.dag_ids))
 
 Review comment:
   This is executed only for DAGs from one file. You would have to have a few thousand DAGs in one file. For now, I focused on the situation when we have up to 200 DAGs. If we want to support several thousand DAGs in one file, we need to introduce much more optimization and this one would not change anything.

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