Github user cloud-fan commented on the issue:

    https://github.com/apache/spark/pull/21859
  
    I don't think this optimization should be done at SQL layer. The 
`ShuffleWriter` should treat `RangePartitioner` specially and consume the 
sampled data in `RangePartitioner` instead of the input iterator.
    
    By doing that the SQL layer(as well as all other components) can benefit 
from it.


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