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https://issues.apache.org/jira/browse/SPARK-11288?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15011855#comment-15011855
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Jakob Odersky commented on SPARK-11288:
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Tell me if I'm missing the point, but you can also pass type parameters
explicitly when calling udfs:
{code}
df.udf[ReturnType, Arg1, Arg2]((arg1, arg2) => ret)
{code}
> Specify the return type for UDF in Scala
> ----------------------------------------
>
> Key: SPARK-11288
> URL: https://issues.apache.org/jira/browse/SPARK-11288
> Project: Spark
> Issue Type: New Feature
> Components: SQL
> Reporter: Davies Liu
>
> The return type is figured out from the function signature, maybe it's not
> that user want, for example, the default DecimalType is (38, 18), user may
> want (38, 0).
> The older deprecated one callUDF can do that, we should figure out a way to
> support that.
> cc [~marmbrus]
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