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https://issues.apache.org/jira/browse/TEZ-3168?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15200952#comment-15200952
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TezQA commented on TEZ-3168:
----------------------------
{color:red}-1 overall{color}. Here are the results of testing the latest
attachment
http://issues.apache.org/jira/secure/attachment/12794087/TEZ-3168.wip.2.patch
against master revision 44c660a.
{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 patch failed these unit tests in :
org.apache.tez.test.TestFaultTolerance
org.apache.tez.dag.app.rm.TestContainerReuse
org.apache.tez.common.TestTezYARNUtils
The following test timeouts occurred in :
org.apache.tez.dag.app.dag.impl.TestCommit
Test results:
https://builds.apache.org/job/PreCommit-TEZ-Build/1576//testReport/
Console output: https://builds.apache.org/job/PreCommit-TEZ-Build/1576//console
This message is automatically generated.
> Provide a more predictable approach for total resource guidance for
> wave/split calculation
> -------------------------------------------------------------------------------------------
>
> Key: TEZ-3168
> URL: https://issues.apache.org/jira/browse/TEZ-3168
> Project: Apache Tez
> Issue Type: Bug
> Reporter: Hitesh Shah
> Assignee: Hitesh Shah
> Attachments: TEZ-3168.wip.2.patch, TEZ-3168.wip.patch
>
>
> Currently, Tez uses headroom for checking total available resources. This is
> flaky as it ends up causing the split count to be determined by a point in
> time lookup at what is available in the cluster. A better approach would be
> either the queue size or even cluster size to get a more predictable count.
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