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From viirya <...@git.apache.org>
Subject [GitHub] spark issue #18694: [SPARK-21492][SQL] Memory leak in SortMergeJoin
Date Fri, 21 Jul 2017 05:31:49 GMT
Github user viirya commented on the issue:

    https://github.com/apache/spark/pull/18694
  
    This only makes sense if the downstream operators consume the iterator of SortMergeJoin
first and then performs its work. If the downstream operators are piped with SortMergeJoin,
once the iterator from SortMergeJoin is exhausted, even one side in the Join is not exhausted,
the whole pipe is finished and the cleanup will be run, right?
    
    Compared with the overhead this change brings in, how much it improves the performance?
    



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