Github user tgravescs commented on the issue:

    https://github.com/apache/spark/pull/15297
  
    I haven't looked through the code in detail but can you clarify the design 
a bit on this, the design pretty much just says we are splitting up the fetch 
of the map outputs but it doesn't say what happens then or how this really 
solves the problem.  
    
    You say that instead of doing A join B you are splitting it up to do 
something like A1 join B + A2 join B + …. An join B.  Is it still just one 
reduce task fetching it in separate chunks if so how does this fix the problem 
or is it treating each one of those fetches as a separate partitions when 
processing it?


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