[ 
https://issues.apache.org/jira/browse/HIVE-14919?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Ferdinand Xu updated HIVE-14919:
--------------------------------
    Description: 
In HIVE-14029, we have updated Spark dependency to 2.0.0. We use Intel 
BigBench[1] to run benchmark with Spark 2.0 over 10 GB data set comparing with 
Spark 1.6. We can see quite some performance degradation for most of the 
queries for BigBench. For detailed information, please see the attached file 
for detailed information. This JIRA is the umbrella ticket addressing those 
performance issues.

[1] https://github.com/intel-hadoop/Big-Data-Benchmark-for-Big-Bench

  was:
In HIVE-14029, we have updated Spark dependency to 2.0.0. We use Intel 
BigBench[1] to run benchmark over 10 GB data set comparing with Spark 1.6. We 
can see quite some performance degradations for all the queries of BigBench. 
For detailed information, please see the attached files. This JIRA is the 
umbrella ticket addressing those performance issues.

[1] https://github.com/intel-hadoop/Big-Data-Benchmark-for-Big-Bench


> Improve the performance of Hive on Spark 2.0.0
> ----------------------------------------------
>
>                 Key: HIVE-14919
>                 URL: https://issues.apache.org/jira/browse/HIVE-14919
>             Project: Hive
>          Issue Type: Improvement
>            Reporter: Ferdinand Xu
>            Assignee: Ferdinand Xu
>         Attachments: benchmark.xlsx
>
>
> In HIVE-14029, we have updated Spark dependency to 2.0.0. We use Intel 
> BigBench[1] to run benchmark with Spark 2.0 over 10 GB data set comparing 
> with Spark 1.6. We can see quite some performance degradation for most of the 
> queries for BigBench. For detailed information, please see the attached file 
> for detailed information. This JIRA is the umbrella ticket addressing those 
> performance issues.
> [1] https://github.com/intel-hadoop/Big-Data-Benchmark-for-Big-Bench



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

Reply via email to