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Posted to issues@spark.apache.org by "Matei Zaharia (JIRA)" <ji...@apache.org> on 2014/06/14 23:33:01 UTC

[jira] [Resolved] (SPARK-1837) NumericRange should be partitioned in the same way as other sequences

     [ https://issues.apache.org/jira/browse/SPARK-1837?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Matei Zaharia resolved SPARK-1837.
----------------------------------

       Resolution: Fixed
    Fix Version/s: 1.1.0

> NumericRange should be partitioned in the same way as other sequences
> ---------------------------------------------------------------------
>
>                 Key: SPARK-1837
>                 URL: https://issues.apache.org/jira/browse/SPARK-1837
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>    Affects Versions: 1.0.0
>            Reporter: Kan Zhang
>            Assignee: Kan Zhang
>             Fix For: 1.1.0
>
>
> Otherwise, RDD.zip() would behave unexpectedly. For example, as given in SPARK-1817:
> scala> sc.parallelize(1L to 2L,4).zip(sc.parallelize(11 to 12,4)).collect
> res1: Array[(Long, Int)] = Array((2,11))



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