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Posted to issues@hive.apache.org by "Shohei Okumiya (Jira)" <ji...@apache.org> on 2025/04/14 07:03:00 UTC

[jira] [Resolved] (HIVE-14919) Improve the performance of Hive on Spark 2.0.0

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

Shohei Okumiya resolved HIVE-14919.
-----------------------------------
    Fix Version/s: NA
       Resolution: Won't Fix

We have discontinued Hive on Spark and EoLed Hive 3. HIVE-26134

> 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
>            Priority: Major
>             Fix For: NA
>
>
> 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 1 TB data set comparing with Spark 1.6. We can see performance improvments about 5.4% in general and 45% for the best case. However, some queries doesn't have significant performance improvements.  This JIRA is the umbrella ticket addressing those performance issues.
> [1] https://github.com/intel-hadoop/Big-Data-Benchmark-for-Big-Bench



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