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From "Guoqiang Li (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-3098) In some cases, operation groupByKey get a wrong results
Date Mon, 18 Aug 2014 08:10:18 GMT

    [ https://issues.apache.org/jira/browse/SPARK-3098?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14100418#comment-14100418
] 

Guoqiang Li commented on SPARK-3098:
------------------------------------

Int type.  Not sure there are no other key-values. 

>  In some cases, operation groupByKey get a wrong results
> --------------------------------------------------------
>
>                 Key: SPARK-3098
>                 URL: https://issues.apache.org/jira/browse/SPARK-3098
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>    Affects Versions: 1.0.1
>            Reporter: Guoqiang Li
>            Priority: Blocker
>
> I do not know how to reproduce the bug.
> This is the case. When I was in operating 10 billion data by groupByKey. the results
error:
> {noformat}
> (4696501, 370568)
> (4696501, 376672)
> (4696501, 374880)
> .....
> (4696502, 350264)
> (4696502, 358458)
> (4696502, 398502)
> ......
> {noformat} 
> => 
> {noformat}
> (4696501,ArrayBuffer(350264, 358458, 398502 ........)), (4696502,ArrayBuffer(376621,
......))
> {noformat}
> code :
> {code}
>     val dealOuts = clickPreferences(sc, dealOutPath, periodTime)
>     val dealOrders = orderPreferences(sc, dealOrderPath, periodTime)
>     val favorites = favoritePreferences(sc, favoritePath, periodTime)
>     val allBehaviors = (dealOrders ++ favorites ++ dealOuts)
>     val peferences= allBehaviors.groupByKey().map { ... } 
> {code}
> spark-defaults.conf:
> {code}
> spark.default.parallelism    280
> {code}



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