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https://issues.apache.org/jira/browse/SPARK-11966?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15032925#comment-15032925
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Michael Armbrust commented on SPARK-11966:
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Ah, I was proposing the DataFrame function explode as it gives you something
very close to UDTFs. However, if you want to be able to use the functions in
pure SQL then thats not going to be sufficient.
> Spark API for UDTFs
> -------------------
>
> Key: SPARK-11966
> URL: https://issues.apache.org/jira/browse/SPARK-11966
> Project: Spark
> Issue Type: New Feature
> Components: SQL
> Reporter: Jaka Jancar
> Priority: Minor
>
> Defining UDFs is easy using sqlContext.udf.register, but not table-generating
> functions. For those you still have to use these horrendous Hive interfaces:
> https://github.com/prongs/apache-hive/blob/master/contrib/src/java/org/apache/hadoop/hive/contrib/udtf/example/GenericUDTFCount2.java
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