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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-3356) Document when RDD elements' ordering within partitions is nondeterministic
Date Tue, 23 Sep 2014 13:00:36 GMT

    [ https://issues.apache.org/jira/browse/SPARK-3356?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14144755#comment-14144755
] 

Apache Spark commented on SPARK-3356:
-------------------------------------

User 'srowen' has created a pull request for this issue:
https://github.com/apache/spark/pull/2508

> Document when RDD elements' ordering within partitions is nondeterministic
> --------------------------------------------------------------------------
>
>                 Key: SPARK-3356
>                 URL: https://issues.apache.org/jira/browse/SPARK-3356
>             Project: Spark
>          Issue Type: Documentation
>          Components: Documentation
>            Reporter: Matei Zaharia
>
> As reported in SPARK-3098 for example, for users using zipWithIndex, zipWithUniqueId,
etc, (and maybe even things like mapPartitions) it's confusing that the order of elements
in each partition after a shuffle operation is nondeterministic (unless the operation was
sortByKey). We should explain this in the docs for the zip and partition-wise operations.
> Another subtle issue is that the order of values for each key in groupBy / join / etc
can be nondeterministic -- we need to explain that too.



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