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Posted to issues@spark.apache.org by "Eric Doi (JIRA)" <ji...@apache.org> on 2015/09/15 23:56:45 UTC

[jira] [Commented] (SPARK-8152) Dataframe Join Ignores Condition

    [ https://issues.apache.org/jira/browse/SPARK-8152?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14746337#comment-14746337 ] 

Eric Doi commented on SPARK-8152:
---------------------------------

Thanks.  Will reopen if I'm able to reproduce in a clearer way.

> 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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