You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Dongjoon Hyun (Jira)" <ji...@apache.org> on 2026/02/15 19:37:00 UTC

[jira] [Closed] (SPARK-42576) Add 2nd groupBy method to Dataset

     [ https://issues.apache.org/jira/browse/SPARK-42576?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Dongjoon Hyun closed SPARK-42576.
---------------------------------

> Add 2nd groupBy method to Dataset
> ---------------------------------
>
>                 Key: SPARK-42576
>                 URL: https://issues.apache.org/jira/browse/SPARK-42576
>             Project: Spark
>          Issue Type: New Feature
>          Components: Connect
>    Affects Versions: 3.4.0
>            Reporter: Herman van Hövell
>            Assignee: Rui Wang
>            Priority: Major
>             Fix For: 3.4.1
>
>
> Dataset is missing a groupBy method:
> {code:java}
> /**
>  * Groups the Dataset using the specified columns, so that we can run aggregation on them.
>  * See [[RelationalGroupedDataset]] for all the available aggregate functions.
>  *
>  * This is a variant of groupBy that can only group by existing columns using column names
>  * (i.e. cannot construct expressions).
>  *
>  * {{{
>  *   // Compute the average for all numeric columns grouped by department.
>  *   ds.groupBy("department").avg()
>  *
>  *   // Compute the max age and average salary, grouped by department and gender.
>  *   ds.groupBy($"department", $"gender").agg(Map(
>  *     "salary" -> "avg",
>  *     "age" -> "max"
>  *   ))
>  * }}}
>  * @group untypedrel
>  * @since 3.4.0
>  */
> @scala.annotation.varargs
> def groupBy(col1: String, cols: String*): RelationalGroupedDataset {code}



--
This message was sent by Atlassian Jira
(v8.20.10#820010)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org