@nandinimenon
Pro member
Data engineer at a a fintech startup. Mostly PySpark and interview prep.
Need to reprocess two weeks of a DAG after fixing a bug. Options are airflow dags backfill from the CLI, or manually clearing and re-triggering task instances in the UI. Does one preserve run history and lineage metadata better than the other?
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No cluster. No install. Just the tab.