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  1. Spark
  2. SPARK-23243

Shuffle+Repartition on an RDD could lead to incorrect answers

    Details

    • Type: Bug
    • Status: Resolved
    • Priority: Blocker
    • Resolution: Fixed
    • Affects Version/s: 1.6.0, 2.0.0, 2.1.0, 2.2.0, 2.3.0
    • Fix Version/s: 2.2.3, 2.3.2, 2.4.0
    • Component/s: Spark Core
    • Labels:
    • Target Version/s:

      Description

      The RDD repartition also uses the round-robin way to distribute data, this can also cause incorrect answers on RDD workload the similar way as in https://issues.apache.org/jira/browse/SPARK-23207

      The approach that fixes DataFrame.repartition() doesn't apply on the RDD repartition issue, as discussed in https://github.com/apache/spark/pull/20393#issuecomment-360912451

      We track for alternative solutions for this issue in this task.

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              • Assignee:
                cloud_fan Wenchen Fan
                Reporter:
                jiangxb1987 Xingbo Jiang
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                Dates

                • Created:
                  Updated:
                  Resolved: