FrankYang0529 opened a new pull request, #68778:
URL: https://github.com/apache/airflow/pull/68778
When an upstream partition that a rollup's downstream window already
consumed is cleared and re-run, the framework had no defined behavior. The
de-facto outcome silently depended on the rollup's wait policy: WaitForAll left
a provisional run stuck waiting for keys that never re-arrive, while
MinimumCount re-fired the downstream run on partial data. Neither is something
a Dag author can rely on.
Give RollupMapper an explicit rerun_policy so the author chooses what
happens. The default preserves the historical behavior, so existing Dags are
unchanged; re-firing with the corrected data is opt-in.
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closes: #65923
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