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From "Hive QA (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HIVE-16282) Semijoin: Disable slow-start for the bloom filter aggregate task
Date Fri, 24 Mar 2017 06:33:41 GMT

    [ https://issues.apache.org/jira/browse/HIVE-16282?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15939912#comment-15939912
] 

Hive QA commented on HIVE-16282:
--------------------------------



Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12860279/extended%20plan.rtf

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

Test results: https://builds.apache.org/job/PreCommit-HIVE-Build/4333/testReport
Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/4333/console
Test logs: http://104.198.109.242/logs/PreCommit-HIVE-Build-4333/

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'
2017-03-24 06:33:37.711
+ [[ -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-4333/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'
2017-03-24 06:33:37.714
+ cd apache-github-source-source
+ git fetch origin
+ git reset --hard HEAD
HEAD is now at b4d1f96 HIVE-15841: Upgrade Hive to ORC 1.3.3 (Owen O'Malley reviewed by Prasanth
Jayachandran)
+ git clean -f -d
Removing common/src/java/org/apache/hadoop/hive/common/JvmMetrics.java
Removing common/src/java/org/apache/hadoop/hive/common/JvmMetricsInfo.java
+ git checkout master
Already on 'master'
Your branch is up-to-date with 'origin/master'.
+ git reset --hard origin/master
HEAD is now at b4d1f96 HIVE-15841: Upgrade Hive to ORC 1.3.3 (Owen O'Malley reviewed by Prasanth
Jayachandran)
+ git merge --ff-only origin/master
Already up-to-date.
+ date '+%Y-%m-%d %T.%3N'
2017-03-24 06:33:39.039
+ 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
patch: **** Only garbage was found in the patch input.
patch: **** Only garbage was found in the patch input.
patch: **** Only garbage was found in the patch input.
fatal: unrecognized input
The patch does not appear to apply with p0, p1, or p2
+ exit 1
'
{noformat}

This message is automatically generated.

ATTACHMENT ID: 12860279 - PreCommit-HIVE-Build

> Semijoin: Disable slow-start for the bloom filter aggregate task
> ----------------------------------------------------------------
>
>                 Key: HIVE-16282
>                 URL: https://issues.apache.org/jira/browse/HIVE-16282
>             Project: Hive
>          Issue Type: Bug
>    Affects Versions: 2.2.0
>            Reporter: Gopal V
>            Assignee: Deepak Jaiswal
>         Attachments: extended plan.rtf, HIVE-16282.1.patch
>
>
> The slow-start of the bloom filter vertex is a scheduling problem which causes more pre-emption
than is useful.
> When the bloom filters are arranged as follows
> Map 1(10 tasks)->Reducer 2(1 task)->Map 3(100 tasks)
> Map 3 and Map 1 are immediately active since Reducer 2 -> Map 3 is a broadcast edge.
> Once 3 tasks in Map 1 finish, the engine kills one active task from Map 3 to make room
for Reducer 2.



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