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https://issues.apache.org/jira/browse/SPARK-17867?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16016021#comment-16016021
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Mitesh commented on SPARK-17867:
--------------------------------

Ah I see, thanks [~viirya]. The repartitionByColumns is just a short-cut method 
I created. But I do have some aliasing code changes compared to 2.1, I will try 
to remove those and see if that is whats breaking it.

> Dataset.dropDuplicates (i.e. distinct) should consider the columns with same 
> column name
> ----------------------------------------------------------------------------------------
>
>                 Key: SPARK-17867
>                 URL: https://issues.apache.org/jira/browse/SPARK-17867
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>            Reporter: Liang-Chi Hsieh
>            Assignee: Liang-Chi Hsieh
>             Fix For: 2.1.0
>
>
> We find and get the first resolved attribute from output with the given 
> column name in Dataset.dropDuplicates. When we have the more than one columns 
> with the same name. Other columns are put into aggregation columns, instead 
> of grouping columns. We should fix this.



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