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https://issues.apache.org/jira/browse/SPARK-3098?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14110229#comment-14110229
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Guoqiang Li commented on SPARK-3098:
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Now the bug is this:
After the shuffle fetches, Multiple calls the {{zip}}, {{zipWithIndex}},
{{zipWithUniqueId}} operation returns the result is inconsistent.
[The PR 2083|https://github.com/apache/spark/pull/2083] will affect performance
. I am testing the impact of specific performance.
Another solution is to re-implement the above operation
> 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
>
> The reproduce code:
> {code}
> val c = sc.parallelize(1 to 7899).flatMap { i =>
> (1 to 10000).toSeq.map(p => i * 6000 + p)
> }.distinct().zipWithIndex()
> c.join(c).filter(t => t._2._1 != t._2._2).take(3)
> {code}
> =>
> {code}
> Array[(Int, (Long, Long))] = Array((1732608,(11,12)), (45515264,(12,13)),
> (36579712,(13,14)))
> {code}
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