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