amichai07 commented on a change in pull request #4751: [AIRFLOW-3607] collected
trigger rule dep check per dag run
URL: https://github.com/apache/airflow/pull/4751#discussion_r347493137
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File path: airflow/ti_deps/deps/trigger_rule_dep.py
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@@ -49,33 +75,33 @@ def _get_dep_statuses(self, ti, session, dep_context):
yield self._passing_status(reason="The task had a dummy trigger
rule set.")
return
- # TODO(unknown): this query becomes quite expensive with dags that
have many
- # tasks. It should be refactored to let the task report to the dag run
and get the
- # aggregates from there.
- qry = (
- session
- .query(
- func.coalesce(func.sum(
- case([(TI.state == State.SUCCESS, 1)], else_=0)), 0),
- func.coalesce(func.sum(
- case([(TI.state == State.SKIPPED, 1)], else_=0)), 0),
- func.coalesce(func.sum(
- case([(TI.state == State.FAILED, 1)], else_=0)), 0),
- func.coalesce(func.sum(
- case([(TI.state == State.UPSTREAM_FAILED, 1)], else_=0)),
0),
- func.count(TI.task_id),
+ if dep_context.finished_tasks is None:
Review comment:
Ok I checked it, I suggest a change that will solve this and the following
comment concerning "dag_run_finished_ti_map" collection. I think it will be
both cleaner and more efficient.
LMK what you think about this direction and will arrange it a bit better if
you think its good.
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