[ 
https://issues.apache.org/jira/browse/SPARK-18478?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15673017#comment-15673017
 ] 

Takeshi Yamamuro commented on SPARK-18478:
------------------------------------------

[~rxin] seems we have some performance gains;
https://github.com/apache/spark/compare/master...maropu:SupportHiveUdfCodegen#diff-f781931d35e340e5550357fbb28d14e8R37
{code}
    /*
     Java HotSpot(TM) 64-Bit Server VM 1.8.0_31-b13 on Mac OS X 10.10.2
     Intel(R) Core(TM) i7-4578U CPU @ 3.00GHz

     Call Hive UDF:                      Best/Avg Time(ms)    Rate(M/s)   Per 
Row(ns)   Relative
       
-------------------------------------------------------------------------------------------
     Call Hive UDF wholestage off                3 /    4      40941.7          
 0.0       1.0X
     Call Hive UDF wholestage on                 1 /    2      96620.3          
 0.0       2.4X
     */
{code}


> Support codegen for Hive UDFs
> -----------------------------
>
>                 Key: SPARK-18478
>                 URL: https://issues.apache.org/jira/browse/SPARK-18478
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 2.0.2
>            Reporter: Takeshi Yamamuro
>
> Spark currently does not codegen Hive UDFs in hiveUDFs.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

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

Reply via email to