JingsongLi commented on PR #9370:
URL: https://github.com/apache/paimon/pull/9370#issuecomment-5748031732

   Requirement fit: SUPPORTED. Implementation: CLEAN in the reviewed follow-up.
   
   Per-partition bucket counts have clear end-to-end value for independently 
rescaling hot/cold partitions without rewriting the whole table. The two 
previously identified unsafe paths are now closed: Spark rejects both 
V1/command and V2 writes when the feature is enabled instead of hashing with 
the table-level bucket count, and `PartitionEntry.merge` fails when equal 
creation times carry conflicting positive bucket layouts instead of silently 
choosing the larger count. The Flink writer/coordinator, restore, overwrite and 
rescale paths have dedicated tests, and the current Java/Flink/Spark/E2E CI 
matrix is green.
   
   I did not find a new evidence-backed blocker in the author follow-up. The 
Spark restriction should remain prominently documented until Spark gains 
partition-aware routing.


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