[jira] [Updated] (MAPREDUCE-3897) capacity scheduler - maxActiveApplicationsPerUser calculation can be wrong

2012-03-04 Thread Arun C Murthy (Updated) (JIRA)

 [ 
https://issues.apache.org/jira/browse/MAPREDUCE-3897?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Arun C Murthy updated MAPREDUCE-3897:
-

   Resolution: Fixed
Fix Version/s: 0.23.2
   Status: Resolved  (was: Patch Available)

I just committed this. Thanks Eric!

 capacity scheduler - maxActiveApplicationsPerUser calculation can be wrong
 --

 Key: MAPREDUCE-3897
 URL: https://issues.apache.org/jira/browse/MAPREDUCE-3897
 Project: Hadoop Map/Reduce
  Issue Type: Bug
  Components: mrv2
Affects Versions: 0.23.0
Reporter: Thomas Graves
Assignee: Eric Payne
Priority: Critical
 Fix For: 0.23.2

 Attachments: MAPREDUCE-3897-1.txt, MAPREDUCE-3897-1.txt, 
 MAPREDUCE-3897-2.txt


 The capacity scheduler calculates the maxActiveApplications and the 
 maxActiveApplicationsPerUser based on the config 
 yarn.scheduler.capacity.maximum-applications or default 1.  
 MaxActiveApplications = max ( ceil ( clusterMemory/minAllocation * 
 maxAMResource% * absoluteMaxCapacity), 1)  
 MaxActiveAppsPerUser = max( ceil (maxActiveApplicationsComputedAbove * 
 (userLimit%/100) * userLimitFactor), 1) 
 maxActiveApplications is already multiplied by the queue absolute MAXIMUM 
 capacity, so if max capacity  capacity and if you have user limit factor 1 
 (which is the default) and only 1 user is running, that user will not be 
 allowed to use over the queue capacity, so having it relative to MAX capacity 
 doesn't make sense.  That user could easily end up in a deadlock and all its 
 space used by application masters.

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[jira] [Updated] (MAPREDUCE-3897) capacity scheduler - maxActiveApplicationsPerUser calculation can be wrong

2012-03-02 Thread Eric Payne (Updated) (JIRA)

 [ 
https://issues.apache.org/jira/browse/MAPREDUCE-3897?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Eric Payne updated MAPREDUCE-3897:
--

Attachment: MAPREDUCE-3897-2.txt

Updated patch so that maxActiveApplications remains calculated based on 
absoluteMaxCapacity but modified so that only maxActiveApplicationsPerUser is 
calculated based on absoluteCapacity.

This will limit the number of active apps for a single user to a percetage 
corresponding the absolute capacity of the queue unless the user limit factor 
is increased for that queue.

 capacity scheduler - maxActiveApplicationsPerUser calculation can be wrong
 --

 Key: MAPREDUCE-3897
 URL: https://issues.apache.org/jira/browse/MAPREDUCE-3897
 Project: Hadoop Map/Reduce
  Issue Type: Bug
  Components: mrv2
Affects Versions: 0.23.0
Reporter: Thomas Graves
Assignee: Eric Payne
Priority: Critical
 Attachments: MAPREDUCE-3897-1.txt, MAPREDUCE-3897-1.txt, 
 MAPREDUCE-3897-2.txt


 The capacity scheduler calculates the maxActiveApplications and the 
 maxActiveApplicationsPerUser based on the config 
 yarn.scheduler.capacity.maximum-applications or default 1.  
 MaxActiveApplications = max ( ceil ( clusterMemory/minAllocation * 
 maxAMResource% * absoluteMaxCapacity), 1)  
 MaxActiveAppsPerUser = max( ceil (maxActiveApplicationsComputedAbove * 
 (userLimit%/100) * userLimitFactor), 1) 
 maxActiveApplications is already multiplied by the queue absolute MAXIMUM 
 capacity, so if max capacity  capacity and if you have user limit factor 1 
 (which is the default) and only 1 user is running, that user will not be 
 allowed to use over the queue capacity, so having it relative to MAX capacity 
 doesn't make sense.  That user could easily end up in a deadlock and all its 
 space used by application masters.

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[jira] [Updated] (MAPREDUCE-3897) capacity scheduler - maxActiveApplicationsPerUser calculation can be wrong

2012-03-02 Thread Eric Payne (Updated) (JIRA)

 [ 
https://issues.apache.org/jira/browse/MAPREDUCE-3897?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Eric Payne updated MAPREDUCE-3897:
--

Status: Patch Available  (was: Open)

 capacity scheduler - maxActiveApplicationsPerUser calculation can be wrong
 --

 Key: MAPREDUCE-3897
 URL: https://issues.apache.org/jira/browse/MAPREDUCE-3897
 Project: Hadoop Map/Reduce
  Issue Type: Bug
  Components: mrv2
Affects Versions: 0.23.0
Reporter: Thomas Graves
Assignee: Eric Payne
Priority: Critical
 Attachments: MAPREDUCE-3897-1.txt, MAPREDUCE-3897-1.txt, 
 MAPREDUCE-3897-2.txt


 The capacity scheduler calculates the maxActiveApplications and the 
 maxActiveApplicationsPerUser based on the config 
 yarn.scheduler.capacity.maximum-applications or default 1.  
 MaxActiveApplications = max ( ceil ( clusterMemory/minAllocation * 
 maxAMResource% * absoluteMaxCapacity), 1)  
 MaxActiveAppsPerUser = max( ceil (maxActiveApplicationsComputedAbove * 
 (userLimit%/100) * userLimitFactor), 1) 
 maxActiveApplications is already multiplied by the queue absolute MAXIMUM 
 capacity, so if max capacity  capacity and if you have user limit factor 1 
 (which is the default) and only 1 user is running, that user will not be 
 allowed to use over the queue capacity, so having it relative to MAX capacity 
 doesn't make sense.  That user could easily end up in a deadlock and all its 
 space used by application masters.

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[jira] [Updated] (MAPREDUCE-3897) capacity scheduler - maxActiveApplicationsPerUser calculation can be wrong

2012-02-29 Thread Eric Payne (Updated) (JIRA)

 [ 
https://issues.apache.org/jira/browse/MAPREDUCE-3897?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Eric Payne updated MAPREDUCE-3897:
--

Attachment: MAPREDUCE-3897-1.txt

Changed calculation for maxActiveApplications.

Old: maxActiveApplications = Maxtotal cluster mem) / minimumAllocation) * 
maxAMResourcePercent * absoluteMaxCapacity),1)

New: maxActiveApplications = Maxtotal cluster mem) / minimumAllocation) * 
maxAMResourcePercent * absoluteCapacity),1)

By using absoluteCapacity rather than absoluteMaxCapacity, the result is based 
on a per-queue capacity and prevents a small queue from hitting the deadlock 
condition of being filled with all AMs.

This fix will be further enhanced when it is possible to specify 
maxAMResourcePercent on a per-queue basis (see MAPREDUCE:3893)

 capacity scheduler - maxActiveApplicationsPerUser calculation can be wrong
 --

 Key: MAPREDUCE-3897
 URL: https://issues.apache.org/jira/browse/MAPREDUCE-3897
 Project: Hadoop Map/Reduce
  Issue Type: Bug
  Components: mrv2
Affects Versions: 0.23.0
Reporter: Thomas Graves
Assignee: Eric Payne
Priority: Critical
 Attachments: MAPREDUCE-3897-1.txt


 The capacity scheduler calculates the maxActiveApplications and the 
 maxActiveApplicationsPerUser based on the config 
 yarn.scheduler.capacity.maximum-applications or default 1.  
 MaxActiveApplications = max ( ceil ( clusterMemory/minAllocation * 
 maxAMResource% * absoluteMaxCapacity), 1)  
 MaxActiveAppsPerUser = max( ceil (maxActiveApplicationsComputedAbove * 
 (userLimit%/100) * userLimitFactor), 1) 
 maxActiveApplications is already multiplied by the queue absolute MAXIMUM 
 capacity, so if max capacity  capacity and if you have user limit factor 1 
 (which is the default) and only 1 user is running, that user will not be 
 allowed to use over the queue capacity, so having it relative to MAX capacity 
 doesn't make sense.  That user could easily end up in a deadlock and all its 
 space used by application masters.

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[jira] [Updated] (MAPREDUCE-3897) capacity scheduler - maxActiveApplicationsPerUser calculation can be wrong

2012-02-29 Thread Eric Payne (Updated) (JIRA)

 [ 
https://issues.apache.org/jira/browse/MAPREDUCE-3897?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Eric Payne updated MAPREDUCE-3897:
--

Status: Patch Available  (was: Open)

 capacity scheduler - maxActiveApplicationsPerUser calculation can be wrong
 --

 Key: MAPREDUCE-3897
 URL: https://issues.apache.org/jira/browse/MAPREDUCE-3897
 Project: Hadoop Map/Reduce
  Issue Type: Bug
  Components: mrv2
Affects Versions: 0.23.0
Reporter: Thomas Graves
Assignee: Eric Payne
Priority: Critical
 Attachments: MAPREDUCE-3897-1.txt, MAPREDUCE-3897-1.txt


 The capacity scheduler calculates the maxActiveApplications and the 
 maxActiveApplicationsPerUser based on the config 
 yarn.scheduler.capacity.maximum-applications or default 1.  
 MaxActiveApplications = max ( ceil ( clusterMemory/minAllocation * 
 maxAMResource% * absoluteMaxCapacity), 1)  
 MaxActiveAppsPerUser = max( ceil (maxActiveApplicationsComputedAbove * 
 (userLimit%/100) * userLimitFactor), 1) 
 maxActiveApplications is already multiplied by the queue absolute MAXIMUM 
 capacity, so if max capacity  capacity and if you have user limit factor 1 
 (which is the default) and only 1 user is running, that user will not be 
 allowed to use over the queue capacity, so having it relative to MAX capacity 
 doesn't make sense.  That user could easily end up in a deadlock and all its 
 space used by application masters.

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