sunchao commented on PR #36995:
URL: https://github.com/apache/spark/pull/36995#issuecomment-1226134733

   In general, let's say a V2 transform function maps a key to a value, given a 
set of keys, the value space should always be <= the key space. Therefore, it's 
seems better for Spark to shuffle the records based on the keys, while still 
uses the V2 transform function provided to determine the actual 
partition/bucket a record should belong to.
   
   Maybe we can introduce a special case for `KeyGroupedPartitioning` in 
`ShuffleExchangeExec`, which only consider keys, rather values after V2 
transform function evaluation, when computing hash and deciding the partition 
ID for an input record.
   
   


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