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https://issues.apache.org/jira/browse/SPARK-30131?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Alexander Hagerf updated SPARK-30131:
-------------------------------------
    Description: 
It is known that there isn't any exact median function in Spark SQL, and this 
might be a difficult problem to solve efficiently. However, to find the median 
for an array should be a simple task, and something that users can utilize when 
collecting numeric values to a list or set.

This can already be achieved by using sorting and choosing element, but can get 
cumbersome and if a fully tested function is provided in the API, I think it 
can solve some headache for many.

  was:
It is known that there isn't any exact median function in Spark SQL, and this 
might be a difficult problem to solve efficiently. However, to find the median 
for an array should be a simple task, and something that users can utilize when 
collecting numeric values to a list or set.

 

This can already be achieved by using sorting and choosing element, but can get 
cumbersome and if a fully tested function is provided in the API, I think it 
can solve some headache for many.


> Add array_median function
> -------------------------
>
>                 Key: SPARK-30131
>                 URL: https://issues.apache.org/jira/browse/SPARK-30131
>             Project: Spark
>          Issue Type: New Feature
>          Components: SQL
>    Affects Versions: 2.4.4
>            Reporter: Alexander Hagerf
>            Priority: Minor
>             Fix For: 3.0.0
>
>
> It is known that there isn't any exact median function in Spark SQL, and this 
> might be a difficult problem to solve efficiently. However, to find the 
> median for an array should be a simple task, and something that users can 
> utilize when collecting numeric values to a list or set.
> This can already be achieved by using sorting and choosing element, but can 
> get cumbersome and if a fully tested function is provided in the API, I think 
> it can solve some headache for many.



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