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https://issues.apache.org/jira/browse/SPARK-30127?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Dongjoon Hyun updated SPARK-30127:
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Affects Version/s: (was: 3.0.0)
3.1.0
> 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
>
> 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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