[
https://issues.apache.org/jira/browse/SPARK-4202?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14194341#comment-14194341
]
Apache Spark commented on SPARK-4202:
-------------------------------------
User 'liancheng' has created a pull request for this issue:
https://github.com/apache/spark/pull/3067
> 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
>
> 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.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
