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From "Hive QA (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HIVE-17528) Add more q-tests for Hive-on-Spark with Parquet vectorized reader
Date Fri, 17 Nov 2017 08:16:00 GMT

    [ https://issues.apache.org/jira/browse/HIVE-17528?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16256627#comment-16256627
] 

Hive QA commented on HIVE-17528:
--------------------------------



Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12897652/HIVE-17528.4.patch

{color:red}ERROR:{color} -1 due to build exiting with an error

Test results: https://builds.apache.org/job/PreCommit-HIVE-Build/7878/testReport
Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/7878/console
Test logs: http://104.198.109.242/logs/PreCommit-HIVE-Build-7878/

Messages:
{noformat}
Executing org.apache.hive.ptest.execution.TestCheckPhase
Executing org.apache.hive.ptest.execution.PrepPhase
Tests exited with: NonZeroExitCodeException
Command 'bash /data/hiveptest/working/scratch/source-prep.sh' failed with exit status 1 and
output '+ date '+%Y-%m-%d %T.%3N'
2017-11-17 08:15:06.776
+ [[ -n /usr/lib/jvm/java-8-openjdk-amd64 ]]
+ export JAVA_HOME=/usr/lib/jvm/java-8-openjdk-amd64
+ JAVA_HOME=/usr/lib/jvm/java-8-openjdk-amd64
+ export PATH=/usr/lib/jvm/java-8-openjdk-amd64/bin/:/usr/local/bin:/usr/bin:/bin:/usr/local/games:/usr/games
+ PATH=/usr/lib/jvm/java-8-openjdk-amd64/bin/:/usr/local/bin:/usr/bin:/bin:/usr/local/games:/usr/games
+ export 'ANT_OPTS=-Xmx1g -XX:MaxPermSize=256m '
+ ANT_OPTS='-Xmx1g -XX:MaxPermSize=256m '
+ export 'MAVEN_OPTS=-Xmx1g '
+ MAVEN_OPTS='-Xmx1g '
+ cd /data/hiveptest/working/
+ tee /data/hiveptest/logs/PreCommit-HIVE-Build-7878/source-prep.txt
+ [[ false == \t\r\u\e ]]
+ mkdir -p maven ivy
+ [[ git = \s\v\n ]]
+ [[ git = \g\i\t ]]
+ [[ -z master ]]
+ [[ -d apache-github-source-source ]]
+ [[ ! -d apache-github-source-source/.git ]]
+ [[ ! -d apache-github-source-source ]]
+ date '+%Y-%m-%d %T.%3N'
2017-11-17 08:15:06.779
+ cd apache-github-source-source
+ git fetch origin
+ git reset --hard HEAD
HEAD is now at 987d130 HIVE-16756 : Vectorization: LongColModuloLongColumn throws java.lang.ArithmeticException:
/ by zero (Vihang Karajgaonkar, reviewed by Matt McCline)
+ git clean -f -d
+ git checkout master
Already on 'master'
Your branch is up-to-date with 'origin/master'.
+ git reset --hard origin/master
HEAD is now at 987d130 HIVE-16756 : Vectorization: LongColModuloLongColumn throws java.lang.ArithmeticException:
/ by zero (Vihang Karajgaonkar, reviewed by Matt McCline)
+ git merge --ff-only origin/master
Already up-to-date.
+ date '+%Y-%m-%d %T.%3N'
2017-11-17 08:15:07.357
+ patchCommandPath=/data/hiveptest/working/scratch/smart-apply-patch.sh
+ patchFilePath=/data/hiveptest/working/scratch/build.patch
+ [[ -f /data/hiveptest/working/scratch/build.patch ]]
+ chmod +x /data/hiveptest/working/scratch/smart-apply-patch.sh
+ /data/hiveptest/working/scratch/smart-apply-patch.sh /data/hiveptest/working/scratch/build.patch
error: patch failed: ql/src/test/results/clientpositive/llap/sysdb.q.out:2190
error: ql/src/test/results/clientpositive/llap/sysdb.q.out: patch does not apply
The patch does not appear to apply with p0, p1, or p2
+ exit 1
'
{noformat}

This message is automatically generated.

ATTACHMENT ID: 12897652 - PreCommit-HIVE-Build

> Add more q-tests for Hive-on-Spark with Parquet vectorized reader
> -----------------------------------------------------------------
>
>                 Key: HIVE-17528
>                 URL: https://issues.apache.org/jira/browse/HIVE-17528
>             Project: Hive
>          Issue Type: Sub-task
>            Reporter: Vihang Karajgaonkar
>            Assignee: Ferdinand Xu
>         Attachments: HIVE-17528.1.patch, HIVE-17528.2.patch, HIVE-17528.3.patch, HIVE-17528.4.patch,
HIVE-17528.patch
>
>
> Most of the vectorization related q-tests operate on ORC tables using Tez. It would be
good to add more coverage on a different combination of engine and file-format. We can model
existing q-tests using parquet tables and run it using TestSparkCliDriver



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