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Posted to issues@tez.apache.org by "TezQA (JIRA)" <ji...@apache.org> on 2016/05/13 23:35:12 UTC
[jira] [Commented] (TEZ-3222) Reduce messaging overhead for
auto-reduce parallelism case
[ https://issues.apache.org/jira/browse/TEZ-3222?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15283306#comment-15283306 ]
TezQA commented on TEZ-3222:
----------------------------
{color:red}-1 overall{color}. Here are the results of testing the latest attachment
http://issues.apache.org/jira/secure/attachment/12803964/TEZ-3222.4.patch
against master revision f70aa17.
{color:green}+1 @author{color}. The patch does not contain any @author tags.
{color:green}+1 tests included{color}. The patch appears to include 4 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:green}+1 findbugs{color}. The patch does not introduce any 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.TestSecureShuffle
Test results: https://builds.apache.org/job/PreCommit-TEZ-Build/1726//testReport/
Console output: https://builds.apache.org/job/PreCommit-TEZ-Build/1726//console
This message is automatically generated.
> Reduce messaging overhead for auto-reduce parallelism case
> ----------------------------------------------------------
>
> Key: TEZ-3222
> URL: https://issues.apache.org/jira/browse/TEZ-3222
> Project: Apache Tez
> Issue Type: Bug
> Reporter: Jonathan Eagles
> Assignee: Jonathan Eagles
> Attachments: TEZ-3222.1.patch, TEZ-3222.2.patch, TEZ-3222.3.patch, TEZ-3222.4.patch
>
>
> A dag with 15k x 1000k vertex may auto-reduce to 15k x 1. And while the data size is appropriate for 1 task attempt, this results in an increase in task attempt message processing of 1000x.
> This jira aims to reduce the message processing in the auto-reduced task while keeping the amount of message processing in the AM the same or less.
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