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From "Hyukjin Kwon (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-26985) Test "access only some column of the all of columns " fails on big endian
Date Thu, 28 Feb 2019 05:25:00 GMT

    [ https://issues.apache.org/jira/browse/SPARK-26985?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16780116#comment-16780116
] 

Hyukjin Kwon commented on SPARK-26985:
--------------------------------------

[~Anuja], I am sure there're multiple JIRAs related to big endian. Mind adding links to the
JIRAs in this JIRA?

> Test "access only some column of the all of columns " fails on big endian
> -------------------------------------------------------------------------
>
>                 Key: SPARK-26985
>                 URL: https://issues.apache.org/jira/browse/SPARK-26985
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.3.2
>         Environment: Linux Ubuntu 16.04 
> 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 64-Bit Compressed References 20190205_218
(JIT enabled, AOT enabled)
> OpenJ9 - 90dd8cb40
> OMR - d2f4534b
> JCL - d002501a90 based on jdk8u202-b08)
>  
>            Reporter: Anuja Jakhade
>            Priority: Major
>              Labels: BigEndian
>         Attachments: DataFrameTungstenSuite.txt, InMemoryColumnarQuerySuite.txt, access
only some column of the all of columns.txt
>
>
> While running tests on Apache Spark v2.3.2 with AdoptJDK on big endian, I am observing
test failures for 2 Suites of Project SQL.
>  1. InMemoryColumnarQuerySuite
>  2. DataFrameTungstenSuite
>  In both the cases test "access only some column of the all of columns" fails due to
mismatch in the final assert.
> Observed that the data obtained after df.cache() is causing the error. Please find
attached the log with the details. 
> cache() works perfectly fine if double and  float values are not in picture.
> Inside test !!!!!!- access only some column of the all of columns *** FAILED ***



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