You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2019/02/28 03:05:00 UTC

[jira] [Resolved] (SPARK-26940) Observed greater deviation on big endian platform for SingletonReplSuite test case

     [ https://issues.apache.org/jira/browse/SPARK-26940?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean Owen resolved SPARK-26940.
-------------------------------
          Resolution: Not A Problem
    Target Version/s:   (was: 2.3.2)

> Observed greater deviation on big endian platform for SingletonReplSuite test case
> ----------------------------------------------------------------------------------
>
>                 Key: SPARK-26940
>                 URL: https://issues.apache.org/jira/browse/SPARK-26940
>             Project: Spark
>          Issue Type: Test
>          Components: Tests
>    Affects Versions: 2.3.2
>         Environment: Ubuntu 16.04 LTS
> openjdk version "1.8.0_202"
> OpenJDK Runtime Environment (build 1.8.0_202-b08)
> Eclipse OpenJ9 VM (build openj9-0.12.1, JRE 1.8.0 Linux (JIT enabled, AOT enabled)
> OpenJ9 - 90dd8cb40
> OMR - d2f4534b
> JCL - d002501a90 based on jdk8u202-b08)
>            Reporter: Anuja Jakhade
>            Priority: Minor
>              Labels: BigEndian
>         Attachments: failure_log.txt
>
>
> I have built Apache Spark v2.3.2 on Big Endian platform with AdoptJDK OpenJ9 1.8.0_202.
> My build is successful. However while running the scala tests of "*Spark Project REPL*" module, I am facing failures at SingletonReplSuite with error log as attached.
> The deviation observed on big endian is greater than the acceptable deviation 0.2.
> How efficient is it to increase the deviation defined in SingletonReplSuite.scala
> Can this be fixed? 
>  



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)

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