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Posted to issues@spark.apache.org by "Vladimir Feinberg (JIRA)" <ji...@apache.org> on 2016/07/12 19:41:21 UTC

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

Vladimir Feinberg created SPARK-16504:
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             Summary: 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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