[jira] [Commented] (SPARK-16283) Implement percentile_approx SQL function

["chenerlu (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-16283?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15901132#comment-15901132 ] 

chenerlu commented on SPARK-16283:
----------------------------------

Hi, I am little confused about percentile_approx, is it different from hive's now ? will we get different result when the input is same ?

for example, I run select percentile_approx(c4_double,array(0.1,0.2,0.3,0.4)) from test; and get different result.

c4_double is show below:
1.00000001
2.00000001
3.00000001
4.00000001
5.00000001
6.00000001
7.00000001
8.00000001
9.00000001
NULL
-8.952
-96.0

Hive:
[-87.2952,-6.961599997999999,1.3000000099999998,2.4000000100000003]

spark 2.x:
[-8.952,1.00000001,2.00000001,3.00000001]

so which result is right ? Could you pls reply me when you are free.



> Implement percentile_approx SQL function
> ----------------------------------------
>
>                 Key: SPARK-16283
>                 URL: https://issues.apache.org/jira/browse/SPARK-16283
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SQL
>            Reporter: Reynold Xin
>            Assignee: Sean Zhong
>             Fix For: 2.1.0
>
>




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