[jira] [Commented] (MAPREDUCE-6263) Large jobs can lose history when killed due to brief client timeout

2015-03-09 Thread Junping Du (JIRA)

[ 
https://issues.apache.org/jira/browse/MAPREDUCE-6263?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14353998#comment-14353998
 ] 

Junping Du commented on MAPREDUCE-6263:
---

+1. v2 patch LGTM. Will commit it shortly.

> Large jobs can lose history when killed due to brief client timeout
> ---
>
> Key: MAPREDUCE-6263
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-6263
> Project: Hadoop Map/Reduce
>  Issue Type: Bug
>  Components: client
>Affects Versions: 2.6.0
>Reporter: Jason Lowe
>Assignee: Eric Payne
> Attachments: MAPREDUCE-6263.v1.txt, MAPREDUCE-6263.v2.txt
>
>
> YARNRunner connects to the AM to send the kill job command then waits a 
> hardcoded 10 seconds for the job to enter a terminal state.  If the job fails 
> to enter a terminal state in that time then YARNRunner will tell YARN to kill 
> the application forcefully.  The latter type of kill usually results in no 
> job history, since the AM process is killed forcefully.
> Ten seconds can be too short for large jobs in a large cluster, as it takes 
> time to connect to all the nodemanagers, process the state machine events, 
> and copy a large jhist file.  The timeout should be more lenient or 
> configurable.



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[jira] [Commented] (MAPREDUCE-6263) Large jobs can lose history when killed due to brief client timeout

2015-03-09 Thread Hadoop QA (JIRA)

[ 
https://issues.apache.org/jira/browse/MAPREDUCE-6263?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14353969#comment-14353969
 ] 

Hadoop QA commented on MAPREDUCE-6263:
--

{color:green}+1 overall{color}.  Here are the results of testing the latest 
attachment 
  http://issues.apache.org/jira/secure/attachment/12703506/MAPREDUCE-6263.v2.txt
  against trunk revision d6e05c5.

{color:green}+1 @author{color}.  The patch does not contain any @author 
tags.

{color:green}+1 tests included{color}.  The patch appears to include 1 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 eclipse:eclipse{color}.  The patch built with 
eclipse:eclipse.

{color:green}+1 findbugs{color}.  The patch does not introduce any new 
Findbugs (version 2.0.3) warnings.

{color:green}+1 release audit{color}.  The applied patch does not increase 
the total number of release audit warnings.

{color:green}+1 core tests{color}.  The patch passed unit tests in 
hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-core 
hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-jobclient.

Test results: 
https://builds.apache.org/job/PreCommit-MAPREDUCE-Build/5247//testReport/
Console output: 
https://builds.apache.org/job/PreCommit-MAPREDUCE-Build/5247//console

This message is automatically generated.

> Large jobs can lose history when killed due to brief client timeout
> ---
>
> Key: MAPREDUCE-6263
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-6263
> Project: Hadoop Map/Reduce
>  Issue Type: Bug
>  Components: client
>Affects Versions: 2.6.0
>Reporter: Jason Lowe
>Assignee: Eric Payne
> Attachments: MAPREDUCE-6263.v1.txt, MAPREDUCE-6263.v2.txt
>
>
> YARNRunner connects to the AM to send the kill job command then waits a 
> hardcoded 10 seconds for the job to enter a terminal state.  If the job fails 
> to enter a terminal state in that time then YARNRunner will tell YARN to kill 
> the application forcefully.  The latter type of kill usually results in no 
> job history, since the AM process is killed forcefully.
> Ten seconds can be too short for large jobs in a large cluster, as it takes 
> time to connect to all the nodemanagers, process the state machine events, 
> and copy a large jhist file.  The timeout should be more lenient or 
> configurable.



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[jira] [Commented] (MAPREDUCE-6263) Large jobs can lose history when killed due to brief client timeout

2015-03-08 Thread Junping Du (JIRA)

[ 
https://issues.apache.org/jira/browse/MAPREDUCE-6263?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14352010#comment-14352010
 ] 

Junping Du commented on MAPREDUCE-6263:
---

Thanks [~eepayne] for working on a patch! The patch looks good to me in 
overall. However, I think we should add the new property in mapred-default.xml, 
and add a description there.

> Large jobs can lose history when killed due to brief client timeout
> ---
>
> Key: MAPREDUCE-6263
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-6263
> Project: Hadoop Map/Reduce
>  Issue Type: Bug
>  Components: client
>Affects Versions: 2.6.0
>Reporter: Jason Lowe
>Assignee: Eric Payne
> Attachments: MAPREDUCE-6263.v1.txt
>
>
> YARNRunner connects to the AM to send the kill job command then waits a 
> hardcoded 10 seconds for the job to enter a terminal state.  If the job fails 
> to enter a terminal state in that time then YARNRunner will tell YARN to kill 
> the application forcefully.  The latter type of kill usually results in no 
> job history, since the AM process is killed forcefully.
> Ten seconds can be too short for large jobs in a large cluster, as it takes 
> time to connect to all the nodemanagers, process the state machine events, 
> and copy a large jhist file.  The timeout should be more lenient or 
> configurable.



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[jira] [Commented] (MAPREDUCE-6263) Large jobs can lose history when killed due to brief client timeout

2015-03-07 Thread Hadoop QA (JIRA)

[ 
https://issues.apache.org/jira/browse/MAPREDUCE-6263?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14351823#comment-14351823
 ] 

Hadoop QA commented on MAPREDUCE-6263:
--

{color:green}+1 overall{color}.  Here are the results of testing the latest 
attachment 
  http://issues.apache.org/jira/secure/attachment/12703257/MAPREDUCE-6263.v1.txt
  against trunk revision 608ebd5.

{color:green}+1 @author{color}.  The patch does not contain any @author 
tags.

{color:green}+1 tests included{color}.  The patch appears to include 1 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 eclipse:eclipse{color}.  The patch built with 
eclipse:eclipse.

{color:green}+1 findbugs{color}.  The patch does not introduce any new 
Findbugs (version 2.0.3) warnings.

{color:green}+1 release audit{color}.  The applied patch does not increase 
the total number of release audit warnings.

{color:green}+1 core tests{color}.  The patch passed unit tests in 
hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-core 
hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-jobclient.

Test results: 
https://builds.apache.org/job/PreCommit-MAPREDUCE-Build/5245//testReport/
Console output: 
https://builds.apache.org/job/PreCommit-MAPREDUCE-Build/5245//console

This message is automatically generated.

> Large jobs can lose history when killed due to brief client timeout
> ---
>
> Key: MAPREDUCE-6263
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-6263
> Project: Hadoop Map/Reduce
>  Issue Type: Bug
>  Components: client
>Affects Versions: 2.6.0
>Reporter: Jason Lowe
>Assignee: Eric Payne
> Attachments: MAPREDUCE-6263.v1.txt
>
>
> YARNRunner connects to the AM to send the kill job command then waits a 
> hardcoded 10 seconds for the job to enter a terminal state.  If the job fails 
> to enter a terminal state in that time then YARNRunner will tell YARN to kill 
> the application forcefully.  The latter type of kill usually results in no 
> job history, since the AM process is killed forcefully.
> Ten seconds can be too short for large jobs in a large cluster, as it takes 
> time to connect to all the nodemanagers, process the state machine events, 
> and copy a large jhist file.  The timeout should be more lenient or 
> configurable.



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