uranusjr commented on code in PR #32118:
URL: https://github.com/apache/airflow/pull/32118#discussion_r1250294519
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airflow/cli/commands/dag_command.py:
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@@ -72,7 +72,13 @@ def _run_dag_backfill(dags: list[DAG], args) -> None:
if args.dry_run:
print(f"Dry run of DAG {dag.dag_id} on {args.start_date}")
- dr = DagRun(dag.dag_id, execution_date=args.start_date)
+ dr = DagRun(
+ dag.dag_id,
+ execution_date=args.start_date,
+ data_interval=dag.timetable.infer_manual_data_interval(
+ run_after=timezone.coerce_datetime(args.start_date)
+ ),
Review Comment:
I think (traditionally) the distinction is that manual runs are one-off
events, i.e. just one run triggered directly by the user. But both scheduled
and backfill runs are triggered by the scheduler using a schedule (timetable);
in the backfill case the user triggers a backfill that triggers runs. It’s kind
of a made-up distinction (if I am to design things from scratch now I’d just
have make everything follow the same schedule so this does not matter), but the
decision was made a long time ago.
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