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https://issues.apache.org/jira/browse/SPARK-9614?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14654402#comment-14654402
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Burak Yavuz commented on SPARK-9614:
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cc [~joshrosen]
> InternalRow representation during executionPlan.toRdd.aggregete possibly
> problematic
> ------------------------------------------------------------------------------------
>
> Key: SPARK-9614
> URL: https://issues.apache.org/jira/browse/SPARK-9614
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.5.0
> Reporter: Burak Yavuz
> Priority: Blocker
>
> For example, in FrequentItems.scala, we have a specialized FrequentItems
> counter which is backed by a Mutable Map. The keys in the MutableMap are the
> elements in a column.
> After iterating through a partition, all the keys turn out to be the latest
> element seen in that partition!
> Assume a partition is composed of the elements ("0","1","2","3","4") for a
> column of a dataframe. The expected map is:
> {code}
> ("0" -> 1,"1" -> 1,"2" -> 1,"3" -> 1,"4" -> 1)
> {code}
> But once you print it out, it turns out to be:
> {code}
> ("4" -> 1,"4" -> 1,"4" -> 1,"4" -> 1,"4" -> 1)
> {code}
> There might be other instances where such behavior may be observed, and it
> must be analyzed before the release.
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