[jira] [Commented] (YARN-6052) Yarn RM UI % of Queue at application level is wrong

2017-01-05 Thread Sunil G (JIRA)

[ 
https://issues.apache.org/jira/browse/YARN-6052?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15803874#comment-15803874
 ] 

Sunil G commented on YARN-6052:
---

 Thanks [~Prabhu Joseph] for pointing out.

> Yarn RM UI % of Queue at application level is wrong
> ---
>
> Key: YARN-6052
> URL: https://issues.apache.org/jira/browse/YARN-6052
> Project: Hadoop YARN
>  Issue Type: Bug
>Affects Versions: 2.7.3
>Reporter: Prabhu Joseph
>Assignee: Prabhu Joseph
>Priority: Minor
> Attachments: RM_UI.png
>
>
> Test Case:
> yarn.scheduler.capacity.root.capacity=100
> yarn.scheduler.capacity.root.queues=default,dummy
> yarn.scheduler.capacity.root.default.capacity=20
> yarn.scheduler.capacity.root.dummy.capacity=80
> yarn.scheduler.capacity.root.dummy.child.capacity=50
> yarn.scheduler.capacity.root.dummy.child2.capacity=50
> Memory Total is 20GB, default queue share is 4GB and dummy queue share is 
> 16GB. Child and Child1 queue gets 8GB share each.
> A map reduce job is submitted  to child2 queue which asks 2 containers of 512 
> MB. Now cluster Memory Used is 1GB.
> Root queue usage = 100 / (total memory / used memory)  = 100 / (20 / 1) =  5%
> Dummy queue usage = 100 / (16 /1) = 6.3%
> Dummy.Child2 queue usage = 100 / (8/1) = 12.5%
> At application level, % of queue is calculated as 100 / (50% of root queue 
> capacity) = 100 / (50% of 20GB) = 10.0 instead of 
> 100 / (50% of dummy queue capacity) = 100 / (50% of 16GB) = 100 / 8 = 12.5
> Where 50% is dummy.child2 capacity
> Attached RM UI screenshot.



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[jira] [Commented] (YARN-6052) Yarn RM UI % of Queue at application level is wrong

2017-01-05 Thread Prabhu Joseph (JIRA)

[ 
https://issues.apache.org/jira/browse/YARN-6052?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15803853#comment-15803853
 ] 

Prabhu Joseph commented on YARN-6052:
-

Sorry for the spam, the issue is already fixed by YARN-. Closing this as a 
Duplicate.

> Yarn RM UI % of Queue at application level is wrong
> ---
>
> Key: YARN-6052
> URL: https://issues.apache.org/jira/browse/YARN-6052
> Project: Hadoop YARN
>  Issue Type: Bug
>Affects Versions: 2.7.3
>Reporter: Prabhu Joseph
>Assignee: Prabhu Joseph
>Priority: Minor
> Attachments: RM_UI.png
>
>
> Test Case:
> yarn.scheduler.capacity.root.capacity=100
> yarn.scheduler.capacity.root.queues=default,dummy
> yarn.scheduler.capacity.root.default.capacity=20
> yarn.scheduler.capacity.root.dummy.capacity=80
> yarn.scheduler.capacity.root.dummy.child.capacity=50
> yarn.scheduler.capacity.root.dummy.child2.capacity=50
> Memory Total is 20GB, default queue share is 4GB and dummy queue share is 
> 16GB. Child and Child1 queue gets 8GB share each.
> A map reduce job is submitted  to child2 queue which asks 2 containers of 512 
> MB. Now cluster Memory Used is 1GB.
> Root queue usage = 100 / (total memory / used memory)  = 100 / (20 / 1) =  5%
> Dummy queue usage = 100 / (16 /1) = 6.3%
> Dummy.Child2 queue usage = 100 / (8/1) = 12.5%
> At application level, % of queue is calculated as 100 / (50% of root queue 
> capacity) = 100 / (50% of 20GB) = 10.0 instead of 
> 100 / (50% of dummy queue capacity) = 100 / (50% of 16GB) = 100 / 8 = 12.5
> Where 50% is dummy.child2 capacity
> Attached RM UI screenshot.



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[jira] [Commented] (YARN-6052) Yarn RM UI % of Queue at application level is wrong

2017-01-04 Thread Sunil G (JIRA)

[ 
https://issues.apache.org/jira/browse/YARN-6052?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15798205#comment-15798205
 ] 

Sunil G commented on YARN-6052:
---

Looks like a bug. [~Prabhu Joseph], could you please provide a patch. I can 
help to review. You can look {{FiCaSchedulerApp.getResourceUsageReport()}} 

> Yarn RM UI % of Queue at application level is wrong
> ---
>
> Key: YARN-6052
> URL: https://issues.apache.org/jira/browse/YARN-6052
> Project: Hadoop YARN
>  Issue Type: Bug
>Affects Versions: 2.7.3
>Reporter: Prabhu Joseph
>Assignee: Prabhu Joseph
>Priority: Minor
> Attachments: RM_UI.png
>
>
> Test Case:
> yarn.scheduler.capacity.root.capacity=100
> yarn.scheduler.capacity.root.queues=default,dummy
> yarn.scheduler.capacity.root.default.capacity=20
> yarn.scheduler.capacity.root.dummy.capacity=80
> yarn.scheduler.capacity.root.dummy.child.capacity=50
> yarn.scheduler.capacity.root.dummy.child2.capacity=50
> Memory Total is 20GB, default queue share is 4GB and dummy queue share is 
> 16GB. Child and Child1 queue gets 8GB share each.
> A map reduce job is submitted  to child2 queue which asks 2 containers of 512 
> MB. Now cluster Memory Used is 1GB.
> Root queue usage = 100 / (total memory / used memory)  = 100 / (20 / 1) =  5%
> Dummy queue usage = 100 / (16 /1) = 6.3%
> Dummy.Child2 queue usage = 100 / (8/1) = 12.5%
> At application level, % of queue is calculated as 100 / (50% of root queue 
> capacity) = 100 / (50% of 20GB) = 10.0 instead of 
> 100 / (50% of dummy queue capacity) = 100 / (50% of 16GB) = 100 / 8 = 12.5
> Where 50% is dummy.child2 capacity
> Attached RM UI screenshot.



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