Github user manku-timma commented on the issue:

    https://github.com/apache/spark/pull/18174
  
    Just to understand what is happening.
    
    1. Shuffle records are written to a serialisation buffer (1M) after 
serialisation
    2. The serialised buffer is written to in-memory-sorter’s buffer
    3. once in-memory sorter’s buffer is full, the data is copied to 
sorter’s disk buffer (1M)
    4. the sorter’s disk buffer is written out to a buffered output stream 
(buffer = 32k)
    
    I am guessing reducing the sorter’s disk buffer (in step 3) is helping 
because it triggers fewer writes at the step 4.


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