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https://issues.apache.org/jira/browse/SPARK-3098?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14102101#comment-14102101
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Guoqiang Li commented on SPARK-3098:
------------------------------------
Seems to be {{zipWithUniqueId}} also has this issue .
{code}
val c = sc.parallelize(1 to 7899).flatMap { i =>
(1 to 10000).toSeq.map(p => i * 6000 + p)
}.distinct().zipWithUniqueId()
c.join(c).filter(t => t._2._1 != t._2._2).take(3)
{code}
> In some cases, operation zipWithIndex 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: Critical
>
> 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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