amoghrajesh opened a new pull request, #68218:
URL: https://github.com/apache/airflow/pull/68218
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### What
`task_store` rows have an `expires_at` column for per-key TTL, but they also
need to be included in `airflow db clean`, so they can be both removed manually
via `airflow state-store cleanup-task-store` and by db clean. This PR wires
`task_store` into the standard cleanup infrastructure.
`asset_store` was intentionally excluded cos it has no `expires_at` column
because it holds long lived current state for assets (not ephemeral per-run
data). Rows are cleaned implicitly via `ON DELETE CASCADE` when the asset
itself is deleted.
### Current behaviour
`task_store` rows are never pruned by `airflow db clean`. The only removal
path is the manual CLI command `airflow state-store cleanup-task-store`, which
is easy to miss sometimes and mainly so for people using the cleanup dags like
this one: https://www.astronomer.io/docs/learn/2.x/cleanup-dag-tutorial
### Proposed change
- Added `task_store` to `dag_run`'s `dependent_tables` list so it is
cascaded when a DAG run row is cleaned.
- Added a `_TableConfig` entry for `task_store` using `expires_at` as the
recency column (not `updated_at`) so that `NULL` (`expires_at` = NEVER_EXPIRE)
rows are correctly skipped — SQL evaluates `NULL < timestamp` as `NULL`, not
`TRUE`, so they are never matched by the `WHERE` clause.
- Added `TestTaskStoreCleanup` verifying: expired rows are deleted,
NEVER_EXPIRE rows (`expires_at=NULL`) survive, and not-yet-expired rows survive.
### Changes of Note
`expires_at` is the correct recency column here. Using `updated_at` would
incorrectly delete NEVER_EXPIRE rows because those rows are regularly updated
when retries write state. `expires_at=NULL` means "keep until the DAG run is
cleaned up via FK cascade", which is what we want.
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