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https://issues.apache.org/jira/browse/SPARK-17694?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15529134#comment-15529134
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Sean Owen commented on SPARK-17694:
-----------------------------------
You're saying that df00 or df01 does not actually contain FooType? Then that's
the error of course. It should fail, it's just a question of when. I would
actually not necessarily expect it fails fast, but, it seems to already:
{code}
scala> spark.createDataset(Seq(1,2,3)).as[List[String]]
org.apache.spark.sql.AnalysisException: cannot resolve '`value`' due to data
type mismatch: cannot cast IntegerType to ArrayType(StringType,true);
{code}
Is that not what you're looking for?
> 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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