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https://issues.apache.org/jira/browse/TEZ-3708?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16001255#comment-16001255
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TezQA commented on TEZ-3708:
----------------------------
{color:red}-1 overall{color}. Here are the results of testing the latest
attachment
http://issues.apache.org/jira/secure/attachment/12866515/TEZ-3708.2.patch
against master revision d9f542f.
{color:green}+1 @author{color}. The patch does not contain any @author
tags.
{color:green}+1 tests included{color}. The patch appears to include 10 new
or modified test files.
{color:green}+1 javac{color}. The applied patch does not increase the
total number of javac compiler warnings.
{color:green}+1 javadoc{color}. There were no new javadoc warning messages.
{color:red}-1 findbugs{color}. The patch appears to introduce 1 new
Findbugs (version 3.0.1) warnings.
{color:green}+1 release audit{color}. The applied patch does not increase
the total number of release audit warnings.
{color:red}-1 core tests{color}. The following test timeouts occurred in :
org.apache.tez.test.TestFaultTolerance
Test results:
https://builds.apache.org/job/PreCommit-TEZ-Build/2424//testReport/
Findbugs warnings:
https://builds.apache.org/job/PreCommit-TEZ-Build/2424//artifact/patchprocess/newPatchFindbugsWarningstez-runtime-library.html
Console output: https://builds.apache.org/job/PreCommit-TEZ-Build/2424//console
This message is automatically generated.
> Improve parallelism and auto grouping of unpartitioned cartesian product
> ------------------------------------------------------------------------
>
> Key: TEZ-3708
> URL: https://issues.apache.org/jira/browse/TEZ-3708
> Project: Apache Tez
> Issue Type: Sub-task
> Reporter: Zhiyuan Yang
> Assignee: Zhiyuan Yang
> Attachments: TEZ-3708.1.patch, TEZ-3708.2.patch
>
>
> Current unpartitioned cartesian product has a few limitations
> 1. parallelism can be not enough in case of large split and small # src task
> 2. parallelism can be too much in in case of large # src task
> 3. workload is not ideally distributed across the worker. Even with auto
> grouping, grouping by size may not be accurate because same size can means
> different #record and different cartesian product ops.
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