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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2018/01/27 00:44:03 UTC
[jira] [Assigned] (SPARK-23243) Shuffle+Repartition on an RDD could
lead to incorrect answers
[ https://issues.apache.org/jira/browse/SPARK-23243?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-23243:
------------------------------------
Assignee: Apache Spark
> 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: 1.6.0, 2.0.0, 2.1.0, 2.2.0, 2.3.0
> Reporter: Jiang Xingbo
> Assignee: Apache Spark
> Priority: Major
>
> 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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