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Posted to issues@spark.apache.org by "Michael Armbrust (JIRA)" <ji...@apache.org> on 2014/11/11 01:54:34 UTC

[jira] [Resolved] (SPARK-4202) DSL support for Scala UDF

     [ https://issues.apache.org/jira/browse/SPARK-4202?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Michael Armbrust resolved SPARK-4202.
-------------------------------------
       Resolution: Fixed
    Fix Version/s: 1.2.0
         Assignee: Cheng Lian

> DSL support for Scala UDF
> -------------------------
>
>                 Key: SPARK-4202
>                 URL: https://issues.apache.org/jira/browse/SPARK-4202
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 1.1.1
>            Reporter: Cheng Lian
>            Assignee: Cheng Lian
>             Fix For: 1.2.0
>
>
> Using Scala UDF with current DSL API is quite verbose, e.g.:
> {code}
> case class KeyValue(key: Int, value: String)
> val schemaRDD = sc.parallelize(1 to 10).map(i => KeyValue(i, i.toString)).toSchemaRDD
> def foo = (a: Int, b: String) => a.toString + b
> schemaRDD.select(                     // SELECT
>   Star(None),                         // *,
>   ScalaUdf(                           //
>     foo,                              // foo(
>     StringType,                       //
>     'key.attr :: 'value.attr :: Nil)  //   key, value
> ).collect()                           // ) FROM ...
> {code}
> It would be good to add a DSL syntax to simplify UDF invocation.



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