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  1. Spark
  2. SPARK-9850 Adaptive execution in Spark
  3. SPARK-9862

Join: Handling data skew

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    Details

    • Type: Sub-task
    • Status: In Progress
    • Priority: Major
    • Resolution: Unresolved
    • Affects Version/s: None
    • Fix Version/s: None
    • Component/s: SQL
    • Labels:
      None

      Description

      For a two way shuffle join, if one or multiple groups are skewed in one table (say left table) but having a relative small number of rows in another table (say right table), we can use broadcast join for these skewed groups and use shuffle join for other groups.

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          is duplicated by

          Bug - A problem which impairs or prevents the functions of the product. SPARK-16753 Spark SQL doesn't handle skewed dataset joins properly

          • Major - Major loss of function.
          • Resolved

          Bug - A problem which impairs or prevents the functions of the product. SPARK-17788 RangePartitioner results in few very large tasks and many small to empty tasks

          • Major - Major loss of function.
          • Resolved

          New Feature - A new feature of the product, which has yet to be developed. SPARK-24799 A solution of dealing with data skew in left,right,inner join

          • Major - Major loss of function.
          • Resolved
          links to

          Pull request #15297 [Github] Pull Request #15297 (YuhuWang2002)

          Web Link GitHub Pull Request #15297

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              • Assignee:
                Unassigned
                Reporter:
                yhuai Yin Huai
              • Votes:
                9 Vote for this issue
                Watchers:
                41 Start watching this issue

                Dates

                • Created:
                  Updated: