renat-sagut commented on code in PR #68517:
URL: https://github.com/apache/airflow/pull/68517#discussion_r3650097245
##########
airflow-core/src/airflow/jobs/scheduler_job_runner.py:
##########
@@ -2572,27 +2572,34 @@ def _create_dag_runs_asset_triggered(
)
)
- dag_run = dag.create_dagrun(
- run_id=DagRun.generate_run_id(
- run_type=DagRunType.ASSET_TRIGGERED, logical_date=None,
run_after=triggered_date
- ),
- logical_date=None,
- data_interval=None,
- run_after=triggered_date,
- run_type=DagRunType.ASSET_TRIGGERED,
- triggered_by=DagRunTriggeredByType.ASSET,
- state=DagRunState.QUEUED,
- creating_job_id=self.job.id,
- session=session,
- )
- stats.incr("asset.triggered_dagruns")
- dag_run.consumed_asset_events.extend(asset_events)
- self.log.info(
- "Created asset-triggered DagRun for '%s': run_id=%s, consumed
%d asset events",
- dag.dag_id,
- dag_run.run_id,
- len(asset_events),
- )
+ # Build the list of (run_after, events) to process: one entry per
DagRun to create.
+ if dag.timetable.batch_asset_events:
+ event_runs = [(triggered_date, asset_events)]
+ else:
+ event_runs = [(timezone.coerce_datetime(ev.timestamp), [ev])
for ev in asset_events]
Review Comment:
each element is consumed separately when batch_asset_events is False
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