cloud-fan edited a comment on pull request #27986:
URL: https://github.com/apache/spark/pull/27986#issuecomment-647264492


   note: `repartition` is a physical operation that users specify how many 
partitions to have after the shuffle. That's why Spark can't coalesce the 
partition, as it breaks the user's expectation.
   
   Other optimization can still happen, like SMJ to BHJ.


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