sunchao commented on PR #6439:
URL: 
https://github.com/apache/datafusion-comet/pull/6439#issuecomment-5916409412

   @andygrove @viirya Addressed in 1627bd7d5. Added an end-to-end 
Parquet-backed `REPARTITION(4)` / grouped `AVG` regression with AQE enabled, 
native hash partitioning disabled, and native round-robin partitioning enabled. 
It checks nullable AVG results, the executed native round-robin shuffle, 
restored Spark aggregates, and absence of placeholders. The planner-level test 
now builds its round-robin input stage under the same configuration, with no 
hash-partitioning toggle.
   
   Restoring only the old cleanup reproduces `CometNativeExec should not be 
executed directly without a serialized plan` on a leftover sink around the 
materialized native repartition stage. All three placeholder regressions fail 
in that control; the other 83 tests pass. With the fix restored, all 86 
`CometExecRuleSuite` tests pass on Spark 4.1.3 / JDK 21. Native build, 
formatting, and Scala style checks also pass. The existing Spark SQL and 
all-profile CI labels remain applied.


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