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
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File path: airflow/jobs/scheduler_job.py
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@@ -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. In one file you would have to
have several thousand DAGs to cause problems. 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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