fat-catTW opened a new pull request, #71216:
URL: https://github.com/apache/airflow/pull/71216
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## Why:
The scheduler checks whether backfills are complete as part of its regular
loop. The previous implementation loaded every matching `Backfill` row into the
ORM session and then updated each object in Python, even though the completion
condition can be expressed entirely in SQL.
Using a bulk update keeps this scheduler path lighter while preserving the
existing AIP-78 backfill lifecycle guards.
## Solution:
Update `_mark_backfills_complete()` to issue a single bulk `UPDATE` for
backfills that are ready to complete.
The existing guards are preserved:
- initializing backfills without associations are skipped
- orphaned backfills older than the cutoff can still be completed
- backfills with queued or running Dag runs stay active
Add a regression test that verifies the completion path uses a single update
statement.
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