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https://issues.apache.org/jira/browse/SPARK-17694?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15527887#comment-15527887
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Chenliang Xu commented on SPARK-17694:
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It returns a DataSet, for example {noformat} DataSet[FooType] {noformat}
And then the returned value should behave as a DataSet of FooType, while it
doesn't. The later step of transformation such as {{union}}, may fail because
the DataSet has more than expected columns.
Consider the following code, the third line should never fail, since we know
{{ds00}} and {{ds01}} have the same DataSet type.
{code}
val ds00 = df00.as[FooType]
val ds01 = df01.as[FooType]
ds00.join(ds010)
{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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