uranusjr commented on a change in pull request #17121:
URL: https://github.com/apache/airflow/pull/17121#discussion_r700963529



##########
File path: airflow/dag_processing/processor.py
##########
@@ -645,3 +648,12 @@ def process_file(
             self.log.exception("Error logging import errors!")
 
         return len(dagbag.dags), len(dagbag.import_errors)
+
+    def _deactivate_missing_dags(self, session: Session, dagbag: DagBag, 
file_path: str) -> None:
+        deactivated = (
+            session.query(DagModel)
+            .filter(DagModel.fileloc == file_path, DagModel.is_active, 
~DagModel.dag_id.in_(dagbag.dag_ids))
+            .update({DagModel.is_active: False}, synchronize_session="fetch")
+        )
+        if deactivated:
+            self.log.info("Deactivated %i DAGs which are no longer present in 
%s", deactivated, file_path)

Review comment:
       I wonder if it’d be worthwhile to log the DAG IDs here. (Is it easy 
though? I know in SQL you can do `UPDATE ... RETURNING` but I don’t know what 
dbs can handle that nor how it’s done in SQLAlchemy.




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