[jira] [Resolved] (SPARK-26589) proper `median` method for spark dataframe

["Nicholas Chammas (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-26589?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Nicholas Chammas resolved SPARK-26589.
--------------------------------------
    Resolution: Won't Fix

Marking this as "Won't Fix", but I suppose if someone really wanted to, they could reopen this issue and propose adding a median function that is simply an alias for {{{}percentile(col, 0.5){}}}. Don't know how the committers would feel about that.

> proper `median` method for spark dataframe
> ------------------------------------------
>
>                 Key: SPARK-26589
>                 URL: https://issues.apache.org/jira/browse/SPARK-26589
>             Project: Spark
>          Issue Type: New Feature
>          Components: SQL
>    Affects Versions: 3.1.0
>            Reporter: Jan Gorecki
>            Priority: Minor
>
> I found multiple tickets asking for median function to be implemented in Spark. Most of those tickets links to "SPARK-6761 Approximate quantile" as duplicate of it. The thing is that approximate quantile is a workaround for lack of median function. Thus I am filling this Feature Request for proper, exact, not approximation of, median function. I am aware about difficulties that are caused by distributed environment when trying to compute median, nevertheless I don't think those difficulties is reason good enough to drop out `median` function from scope of Spark. I am not asking about efficient median but exact median.



--
This message was sent by Atlassian Jira
(v8.20.1#820001)

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