vitaliili-db opened a new pull request, #52914:
URL: https://github.com/apache/spark/pull/52914
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### What changes were proposed in this pull request?
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This commit fixes cache refresh operations (recacheByPlan and
recacheTableOrView) to properly handle DataSource V2 tables that use immutable
Table instances.
**Changes**:
- Modified CacheManager.recacheByCondition to accept an optional fresh plan
parameter
- Updated recacheByPlan to pass the fresh plan for re-execution
- Updated recacheTableOrView to resolve a fresh plan using spark.table()
before refreshing
- Added CacheRefreshForDSv2Suite with tests verifying correct cache refresh
behavior
The fix ensures that when cache refresh is triggered, the fresh plan (with
updated table metadata/snapshot) is used for both re-execution and updating the
cached plan, rather than re-executing the old cached plan which would contain
stale data.
Note: V1 tables use mutable file indexes that implicitly refresh when
queried, so re-executing the old plan picks up new files. V2 tables use
immutable Table instances that capture a specific snapshot at resolution time,
so re-executing the old plan reads the same old snapshot.
### Why are the changes needed?
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These changes are needed to fix cache refresh for DataSource V2 tables.
Currently, when a V2 table is modified and cache refresh is triggered, the
cache manager re-executes the old cached plan which contains an immutable Table
instance pointing to the previous table snapshot. This results in stale data
being re-cached instead of fresh data. The fix ensures that a freshly resolved
plan with updated table metadata is used for cache refresh, allowing queries to
correctly read the latest data after table modifications.
### Does this PR introduce _any_ user-facing change?
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No
### How was this patch tested?
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New test suite
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No
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