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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/10/11 06:13:20 UTC

[jira] [Commented] (SPARK-17867) Dataset.dropDuplicates (i.e. distinct) should consider the columns with same column name

    [ https://issues.apache.org/jira/browse/SPARK-17867?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15564617#comment-15564617 ] 

Apache Spark commented on SPARK-17867:
--------------------------------------

User 'viirya' has created a pull request for this issue:
https://github.com/apache/spark/pull/15427

> 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
>
> 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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