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https://issues.apache.org/jira/browse/SPARK-16504?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15373769#comment-15373769
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Vladimir Feinberg commented on SPARK-16504:
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fwiw {{merge}} has type {{(MAB, Row):Unit}} instead of {{(MAB, MAB): Unit}} or
even more preferably {{(MAB, MAB): MAB}} for some reason.
> UDAF should be typed
> --------------------
>
> Key: SPARK-16504
> URL: https://issues.apache.org/jira/browse/SPARK-16504
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Reporter: Vladimir Feinberg
>
> Currently, UDAFs can be implemented by using a generic
> {{MutableAggregationBuffer}}. This type-less class requires the user specify
> the schema.
> If the user wants to create vector output from a UDAF, this requires
> specifying an output schema with a VectorUDT(), which is only accessible
> through a DeveloperApi.
> Since we would prefer not to expose VectorUDT, the only option would be to
> resolve the user's inability to (legally) specify a schema containing a
> VectorUDT the same way that we would do so for creating dataframes: by type
> inference, just like createDataFrame does.
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