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Posted to issues@spark.apache.org by "Jiang Xingbo (JIRA)" <ji...@apache.org> on 2018/01/26 23:01:00 UTC

[jira] [Created] (SPARK-23243) Shuffle+Repartition on an RDD could lead to incorrect answers

Jiang Xingbo created SPARK-23243:
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             Summary: Shuffle+Repartition on an RDD could lead to incorrect answers
                 Key: SPARK-23243
                 URL: https://issues.apache.org/jira/browse/SPARK-23243
             Project: Spark
          Issue Type: Bug
          Components: Spark Core
    Affects Versions: 2.2.0, 2.1.0, 2.0.0, 1.6.0, 2.3.0
            Reporter: Jiang Xingbo


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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