kaxil commented on a change in pull request #21495:
URL: https://github.com/apache/airflow/pull/21495#discussion_r806179717
##########
File path: airflow/sensors/smart_sensor.py
##########
@@ -341,21 +340,21 @@ def _load_sensor_works(self, session=None):
.filter(SI.state == State.SENSING)
.filter(SI.shardcode < self.shard_max, SI.shardcode >=
self.shard_min)
)
- tis = query.all()
+ sis = query.all()
- self.log.info("Performance query %s tis, time: %.3f", len(tis),
timer.duration)
+ self.log.info("Performance query %s sis, time: %.3f", len(sis),
timer.duration)
# Query without checking dagrun state might keep some failed dag_run
tasks alive.
# Join with DagRun table will be very slow based on the number of
sensor tasks we
# need to handle. We query all smart tasks in this operator
# and expect scheduler correct the states in
_change_state_for_tis_without_dagrun()
sensor_works = []
- for ti in tis:
+ for si in sis:
try:
- sensor_works.append(SensorWork(ti))
+ sensor_works.append(SensorWork(si))
except Exception:
- self.log.exception("Exception at creating sensor work for ti
%s", ti.key)
+ self.log.exception("Exception at creating sensor work for ti
%s", si.ti_key)
Review comment:
(I couldn't find `si.key` too)
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