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From Munna <munnava...@gmail.com>
Subject Capacity Scheduler Issue
Date Wed, 27 Nov 2013 17:42:59 GMT
Hi Flocks,



Since, last two days I am about to configure Capacity Scheduler. Here, how
I have struggling L….



I am using Hadoop 2.0.0 and YARN 2.0.0(CDH4). Initially I have created 4
Queue’s as per the Capacity Scheduler Documentation and those queues shown
in RM UI.



After configuration I tried to run Jobs, Cap Scheduler not identified that
queue’s. where I have check queues list with “mapred queue –list”, which
showing all configured Q’s.



I wrote a mail’s to groups for solution, Mr.Olivier has been given some
idea about that, based on his views I dig more.



After I went to all the RM log, Cap Scheduler initiating only default
“default”, I have tested with *default queue* it works for me. And I have
created one more queue called “dev”, in this Queue User unable to run the
jobs and its unable to identifying users Queue.



I have attached Cap Scheduler configuration file for your information. Some
O/P for ur information.



*[user@host ~]$ mapred queue -list*

*13/11/27 09:26:38 INFO service.AbstractService:
Service:org.apache.hadoop.yarn.client.YarnClientImpl is inited.*

*13/11/27 09:26:38 INFO service.AbstractService:
Service:org.apache.hadoop.yarn.client.YarnClientImpl is started.*

*======================*

*Queue Name : dev*

*Queue State : running*

*Scheduling Info : Capacity: 30.000002, MaximumCapacity: 0.5,
CurrentCapacity: 0.0*

*======================*

*Queue Name : default*

*Queue State : running*

*Scheduling Info : Capacity: 70.0, MaximumCapacity: 1.0, CurrentCapacity:
0.0*



*RM log Scheduler loading info:*

2013-11-27 08:54:58,521 INFO
org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue:
root, capacity=1.0, asboluteCapacity=1.0, maxCapacity=1.0,
asboluteMaxCapacity=1.0, state=RUNNING, acls=SUBMIT_APPLICATIONS:
ADMINISTER_QUEUE:

2013-11-27 08:54:58,521 INFO
org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue:
Initialized parent-queue root name=root, fullname=root

2013-11-27 08:54:58,534 INFO
org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.LeafQueue:
*Initializing
default*

capacity = 0.7 [= (float) configuredCapacity / 100 ]

asboluteCapacity = 0.7 [= parentAbsoluteCapacity * capacity ]

maxCapacity = 1.0 [= configuredMaxCapacity ]

absoluteMaxCapacity = 1.0 [= 1.0 maximumCapacity undefined,
(parentAbsoluteMaxCapacity * maximumCapacity) / 100 otherwise ]

userLimit = 100 [= configuredUserLimit ]

userLimitFactor = 1.0 [= configuredUserLimitFactor ]

maxApplications = 7000 [= configuredMaximumSystemApplicationsPerQueue or
(int)(configuredMaximumSystemApplications * absoluteCapacity)]

maxApplicationsPerUser = 7000 [= (int)(maxApplications * (userLimit /
100.0f) * userLimitFactor) ]

maxActiveApplications = 1 [= max((int)ceil((clusterResourceMemory /
minimumAllocation) * maxAMResourcePerQueuePercent * absoluteMaxCapacity),1)
]

maxActiveAppsUsingAbsCap = 1 [= max((int)ceil((clusterResourceMemory /
minimumAllocation) *maxAMResourcePercent * absoluteCapacity),1) ]

maxActiveApplicationsPerUser = 1 [= max((int)(maxActiveApplications *
(userLimit / 100.0f) * userLimitFactor),1) ]

usedCapacity = 0.0 [= usedResourcesMemory / (clusterResourceMemory *
absoluteCapacity)]

absoluteUsedCapacity = 0.0 [= usedResourcesMemory / clusterResourceMemory]

maxAMResourcePerQueuePercent = 0.1 [= configuredMaximumAMResourcePercent ]

minimumAllocationFactor = 0.875 [= (float)(maximumAllocationMemory -
minimumAllocationMemory) / maximumAllocationMemory ]

maxAMResourcePerQueuePercent = 0.1 [= configuredMaximumAMResourcePercent ]

minimumAllocationFactor = 0.875 [= (float)(maximumAllocationMemory -
minimumAllocationMemory) / maximumAllocationMemory ]

numContainers = 0 [= currentNumContainers ]

state = RUNNING [= configuredState ]

acls = SUBMIT_APPLICATIONS:mapred,yarn ADMINISTER_QUEUE:  [= configuredAcls
]



2013-11-27 08:54:58,534 INFO
org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.CapacityScheduler:
Initialized queue: default: capacity=0.7, absoluteCapacity=0.7,
usedResources=<memory:0, vCores:0>usedCapacity=0.0,
absoluteUsedCapacity=0.0, numApps=0, numContainers=0

2013-11-27 08:54:58,543 INFO
org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.LeafQueue:
*Initializing
dev*

capacity = 0.3 [= (float) configuredCapacity / 100 ]

asboluteCapacity = 0.3 [= parentAbsoluteCapacity * capacity ]

maxCapacity = 0.5 [= configuredMaxCapacity ]

absoluteMaxCapacity = 0.5 [= 1.0 maximumCapacity undefined,
(parentAbsoluteMaxCapacity * maximumCapacity) / 100 otherwise ]

userLimit = 100 [= configuredUserLimit ]

userLimitFactor = 1.0 [= configuredUserLimitFactor ]

maxApplications = 3000 [= configuredMaximumSystemApplicationsPerQueue or
(int)(configuredMaximumSystemApplications * absoluteCapacity)]

maxApplicationsPerUser = 3000 [= (int)(maxApplications * (userLimit /
100.0f) * userLimitFactor) ]

maxActiveApplications = 1 [= max((int)ceil((clusterResourceMemory /
minimumAllocation) * maxAMResourcePerQueuePercent * absoluteMaxCapacity),1)
]

maxActiveAppsUsingAbsCap = 1 [= max((int)ceil((clusterResourceMemory /
minimumAllocation) *maxAMResourcePercent * absoluteCapacity),1) ]

maxActiveApplicationsPerUser = 1 [= max((int)(maxActiveApplications *
(userLimit / 100.0f) * userLimitFactor),1) ]

usedCapacity = 0.0 [= usedResourcesMemory / (clusterResourceMemory *
absoluteCapacity)]

absoluteUsedCapacity = 0.0 [= usedResourcesMemory / clusterResourceMemory]

maxAMResourcePerQueuePercent = 0.1 [= configuredMaximumAMResourcePercent ]

minimumAllocationFactor = 0.875 [= (float)(maximumAllocationMemory -
minimumAllocationMemory) / maximumAllocationMemory ]

numContainers = 0 [= currentNumContainers ]

state = RUNNING [= configuredState ]

acls = SUBMIT_APPLICATIONS:user,test ADMINISTER_QUEUE:  [= configuredAcls ]



Can you guys please confirm, did I miss anything on configurations part or
is there any bug persist on 2.0.0?



Thanks

Munna

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