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https://issues.apache.org/jira/browse/SPARK-8152?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust resolved SPARK-8152.
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Resolution: Cannot Reproduce
I can't reproduce this in Spark 1.5, but please reopen if you can.
> Dataframe Join Ignores Condition
> --------------------------------
>
> Key: SPARK-8152
> URL: https://issues.apache.org/jira/browse/SPARK-8152
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Reporter: Eric Doi
> Attachments: field_choice_pinpointed.png, side-by-side.png
>
>
> When joining two tables A and B, on condition that A.X = B.X, in some cases
> that condition is not fulfilled in the result.
> Suspect it might be due to duplicate column names in the source tables
> causing confusion. Is it possible for there to exist hidden fields in a
> dataframe?
> Will attach a screenshot for more details. The bug is reproducible but hard
> to pinpoint.
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