[jira] [Commented] (SPARK-16504) UDAF should be typed

["Vladimir Feinberg (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-16504?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15373769#comment-15373769 ] 

Vladimir Feinberg commented on SPARK-16504:
-------------------------------------------

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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