[jira] [Commented] (SPARK-17694) convert DataFrame to DataSet should check columns match

["Paweł Batko (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-17694?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16537320#comment-16537320 ] 

Paweł Batko commented on SPARK-17694:
-------------------------------------

Another minimal:
{code:scala}
case class Foo(a: String, b: String)
case class Bar(a: String)

val foos = Seq(Foo("1", "2")).toDS()
val bars: Dataset[Bar] = foos.as[Bar] // fine
val foos2: Dataset[Foo] = bars.as[Foo] // executes fine, but I think it should fail, because Bar doesn't have field 'b'
{code}




 

> convert DataFrame to DataSet should check columns match
> -------------------------------------------------------
>
>                 Key: SPARK-17694
>                 URL: https://issues.apache.org/jira/browse/SPARK-17694
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 1.6.1, 1.6.2
>            Reporter: Chenliang Xu
>            Priority: Minor
>
> The {{as}} method, which converts a DataFrame to DataSet requires the user to ensure the columns are match. And it success even the columns do not match, and cause error at later steps.
> It would be better, to let {{as}} match the columns, and fail/warn when the match fails.



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