ephraimbuddy commented on a change in pull request #14776:
URL: https://github.com/apache/airflow/pull/14776#discussion_r594463338
##########
File path: airflow/models/dag.py
##########
@@ -1112,17 +1112,19 @@ def topological_sort(self, include_subdag_tasks: bool =
False):
@provide_session
def set_dag_runs_state(
self,
+ dag_ids: List[str] = None,
state: str = State.RUNNING,
session: Session = None,
start_date: Optional[datetime] = None,
end_date: Optional[datetime] = None,
) -> None:
- query = session.query(DagRun).filter_by(dag_id=self.dag_id)
+ dag_ids = dag_ids or [self.dag_id]
+ query = session.query(DagRun).filter(DagRun.dag_id.in_(dag_ids))
if start_date:
query = query.filter(DagRun.execution_date >= start_date)
if end_date:
query = query.filter(DagRun.execution_date <= end_date)
- query.update({DagRun.state: state})
+ query.update({DagRun.state: state}, synchronize_session=False)
Review comment:
Yes. It's needed, without it, it raises `InvalidRequestError`. However,
after reading about the options, I think the `fetch` option is the right one.
What do you think?
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