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Posted to issues@spark.apache.org by "Dongjoon Hyun (Jira)" <ji...@apache.org> on 2020/03/17 08:34:00 UTC
[jira] [Updated] (SPARK-30127) UDF should work for case class like
Dataset operations
[ https://issues.apache.org/jira/browse/SPARK-30127?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Dongjoon Hyun updated SPARK-30127:
----------------------------------
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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