[jira] [Commented] (SPARK-16228) "Percentile" needs explicit cast to double

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

    [ https://issues.apache.org/jira/browse/SPARK-16228?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15351697#comment-15351697 ] 

Egor Pahomov commented on SPARK-16228:
--------------------------------------

[~srowen] "blocker" is questionable, I agree. I just believe, that everything which prevent you from moving from 1.6.1 to 2.0 without major code changes is "blocker". It's just if I move and such bug would be there a lot of my analysts notebook would be invalid. 

> "Percentile" needs explicit cast to double
> ------------------------------------------
>
>                 Key: SPARK-16228
>                 URL: https://issues.apache.org/jira/browse/SPARK-16228
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.0.0
>            Reporter: Egor Pahomov
>
> {quote}
>  select percentile(cast(id as bigint), cast(0.5 as double)) from temp.bla
> {quote}
> Works.
> {quote}
>  select percentile(cast(id as bigint), 0.5 ) from temp.bla
> {quote}
> Throws
> {quote}
> Error in query: No handler for Hive UDF 'org.apache.hadoop.hive.ql.udf.UDAFPercentile': org.apache.hadoop.hive.ql.exec.NoMatchingMethodException: No matching method for class org.apache.hadoop.hive.ql.udf.UDAFPercentile with (bigint, decimal(38,18)). Possible choices: _FUNC_(bigint, array<double>)  _FUNC_(bigint, double)  ; line 1 pos 7
> {quote}



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