[SPARK-41262][SQL] Fix spark.sql.optimizer.canChangeCachedPlanOutputPartitioning Configuration Default to Match Documentation
#47914
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What changes were proposed in this pull request?
https://spark.apache.org/docs/latest/sql-migration-guide.html#upgrading-from-spark-sql-34-to-35 states that
spark.sql.optimizer.canChangeCachedPlanOutputPartitioningis set by default, but that's currently not true, and causes confusion along with lost debugging time.Notably, when working with cached dataframes in Spark 3.5.0, I saw AQE not working until I manually set the flag myself.
Why are the changes needed?
This aligns the code with the documentation which prevents confusion.
Does this PR introduce any user-facing change?
Yes, but nothing the documentation doesn't already state.
How was this patch tested?
Simple config change.
Was this patch authored or co-authored using generative AI tooling?
NO