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https://issues.apache.org/jira/browse/SPARK-17866?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15826579#comment-15826579
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Shixiong Zhu commented on SPARK-17866:
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Although this one was fixed in 2.1.0, it broke SPARK-19065. Hence we decided
to not support this usage.
> Dataset.dropDuplicates (i.e., distinct) should not change the output of child
> plan
> ----------------------------------------------------------------------------------
>
> Key: SPARK-17866
> URL: https://issues.apache.org/jira/browse/SPARK-17866
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Reporter: Liang-Chi Hsieh
> Assignee: Liang-Chi Hsieh
> Fix For: 2.1.0
>
>
> We create new Alias with new exprId in Dataset.dropDuplicates now. However it
> causes problem when we want to select the columns as follows:
> {code}
> val ds = Seq(("a", 1), ("a", 2), ("b", 1), ("a", 1)).toDS()
> // ds("_2") will cause analysis exception
> ds.dropDuplicates("_1").select(ds("_1").as[String], ds("_2").as[Int])
> {code}
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