[jira] [Resolved] (SPARK-30127) UDF should work for case class like Dataset operations

["Wenchen Fan (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-30127?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Wenchen Fan resolved SPARK-30127.
---------------------------------
    Fix Version/s: 3.0.0
       Resolution: Fixed

Issue resolved by pull request 27937
[https://github.com/apache/spark/pull/27937]

> UDF should work for case class like Dataset operations
> ------------------------------------------------------
>
>                 Key: SPARK-30127
>                 URL: https://issues.apache.org/jira/browse/SPARK-30127
>             Project: Spark
>          Issue Type: New Feature
>          Components: SQL
>    Affects Versions: 3.1.0
>            Reporter: Wenchen Fan
>            Priority: Major
>             Fix For: 3.0.0
>
>
> Currently, Spark UDF can only work on data types like java.lang.String, o.a.s.sql.Row, Seq[_], etc. This is inconvenient if you want to apply an operation on one column, and the column is struct type. You must access data from a Row object, instead of your domain object like Dataset operations. It will be great if UDF can work on types that are supported by Dataset, e.g. case classes.
> Note that, there are multiple ways to register a UDF, and it's only possible to support this feature if the UDF is registered using Scala API that provides type tag, e.g. `def udf[RT: TypeTag, A1: TypeTag](f: Function1[A1, RT])`



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