Hi Krishna, 4) What's the "yarn.resourcemanager.nodemanagers.heartbeat-interval-ms" in your configuration? 50
I think this config is problematic, too small heartbeat-interval will cause NM contact RM too often. I would suggest you can set this value larger like 1000. Thanks, Wangda On Wed, Aug 13, 2014 at 4:42 PM, Krishna Kishore Bonagiri < write2kish...@gmail.com> wrote: > Hi Wangda, > Thanks for the reply, here are the details, please see if you could > suggest anything. > > 1) Number of nodes and running app in the cluster > 2 nodes, and I am running my own application that keeps asking for > containers, > a) running something on the containers, > b) releasing the containers, > c) ask for more containers with incremented priority value, and repeat the > same process > > 2) What's the version of your Hadoop? > apache hadoop-2.4.0 > > 3) Have you set > "yarn.scheduler.capacity.schedule-asynchronously.enable"=true? > No > > 4) What's the "yarn.resourcemanager.nodemanagers.heartbeat-interval-ms" in > your configuration? > 50 > > > > > On Tue, Aug 12, 2014 at 12:44 PM, Wangda Tan <wheele...@gmail.com> wrote: > >> Hi Krishna, >> To get more understanding about the problem, could you please share >> following information: >> 1) Number of nodes and running app in the cluster >> 2) What's the version of your Hadoop? >> 3) Have you set >> "yarn.scheduler.capacity.schedule-asynchronously.enable"=true? >> 4) What's the "yarn.resourcemanager.nodemanagers.heartbeat-interval-ms" >> in your configuration? >> >> Thanks, >> Wangda Tan >> >> >> >> On Sun, Aug 10, 2014 at 11:29 PM, Krishna Kishore Bonagiri < >> write2kish...@gmail.com> wrote: >> >>> Hi, >>> My YARN resource manager is consuming 100% CPU when I am running an >>> application that is running for about 10 hours, requesting as many as 27000 >>> containers. The CPU consumption was very low at the starting of my >>> application, and it gradually went high to over 100%. Is this a known issue >>> or are we doing something wrong? >>> >>> Every dump of the EVent Processor thread is running >>> LeafQueue::assignContainers() specifically the for loop below from >>> LeafQueue.java and seems to be looping through some priority list. >>> >>> // Try to assign containers to applications in order >>> for (FiCaSchedulerApp application : activeApplications) { >>> ... >>> // Schedule in priority order >>> for (Priority priority : application.getPriorities()) { >>> >>> 3XMTHREADINFO "ResourceManager Event Processor" >>> J9VMThread:0x0000000001D08600, j9thread_t:0x00007F032D2FAA00, >>> java/lang/Thread:0x000000008341D9A0, state:CW, prio=5 >>> 3XMJAVALTHREAD (java/lang/Thread getId:0x1E, isDaemon:false) >>> 3XMTHREADINFO1 (native thread ID:0x4B64, native priority:0x5, >>> native policy:UNKNOWN) >>> 3XMTHREADINFO2 (native stack address range >>> from:0x00007F0313DF8000, to:0x00007F0313E39000, size:0x41000) >>> 3XMCPUTIME *CPU usage total: 42334.614623696 secs* >>> 3XMHEAPALLOC Heap bytes allocated since last GC cycle=20456 >>> (0x4FE8) >>> 3XMTHREADINFO3 Java callstack: >>> 4XESTACKTRACE at >>> org/apache/hadoop/yarn/server/resourcemanager/scheduler/capacity/LeafQueue.assignContainers(LeafQueue.java:850(Compiled >>> Code)) >>> 5XESTACKTRACE (entered lock: >>> org/apache/hadoop/yarn/server/resourcemanager/scheduler/common/fica/FiCaSchedulerApp@0x000000008360DFE0, >>> entry count: 1) >>> 5XESTACKTRACE (entered lock: >>> org/apache/hadoop/yarn/server/resourcemanager/scheduler/capacity/LeafQueue@0x00000000833B9280, >>> entry count: 1) >>> 4XESTACKTRACE at >>> org/apache/hadoop/yarn/server/resourcemanager/scheduler/capacity/ParentQueue.assignContainersToChildQueues(ParentQueue.java:655(Compiled >>> Code)) >>> 5XESTACKTRACE (entered lock: >>> org/apache/hadoop/yarn/server/resourcemanager/scheduler/capacity/ParentQueue@0x0000000083360A80, >>> entry count: 2) >>> 4XESTACKTRACE at >>> org/apache/hadoop/yarn/server/resourcemanager/scheduler/capacity/ParentQueue.assignContainers(ParentQueue.java:569(Compiled >>> Code)) >>> 5XESTACKTRACE (entered lock: >>> org/apache/hadoop/yarn/server/resourcemanager/scheduler/capacity/ParentQueue@0x0000000083360A80, >>> entry count: 1) >>> 4XESTACKTRACE at >>> org/apache/hadoop/yarn/server/resourcemanager/scheduler/capacity/CapacityScheduler.allocateContainersToNode(CapacityScheduler.java:831(Compiled >>> Code)) >>> 5XESTACKTRACE (entered lock: >>> org/apache/hadoop/yarn/server/resourcemanager/scheduler/capacity/CapacityScheduler@0x00000000834037C8, >>> entry count: 1) >>> 4XESTACKTRACE at >>> org/apache/hadoop/yarn/server/resourcemanager/scheduler/capacity/CapacityScheduler.handle(CapacityScheduler.java:878(Compiled >>> Code)) >>> 4XESTACKTRACE at >>> org/apache/hadoop/yarn/server/resourcemanager/scheduler/capacity/CapacityScheduler.handle(CapacityScheduler.java:100(Compiled >>> Code)) >>> 4XESTACKTRACE at >>> org/apache/hadoop/yarn/server/resourcemanager/ResourceManager$SchedulerEventDispatcher$EventProcessor.run(ResourceManager.java:591) >>> 4XESTACKTRACE at java/lang/Thread.run(Thread.java:853) >>> >>> 3XMTHREADINFO "ResourceManager Event Processor" >>> J9VMThread:0x0000000001D08600, j9thread_t:0x00007F032D2FAA00, >>> java/lang/Thread:0x000000008341D9A0, state:CW, prio=5 >>> 3XMJAVALTHREAD (java/lang/Thread getId:0x1E, isDaemon:false) >>> 3XMTHREADINFO1 (native thread ID:0x4B64, native priority:0x5, >>> native policy:UNKNOWN) >>> 3XMTHREADINFO2 (native stack address range >>> from:0x00007F0313DF8000, to:0x00007F0313E39000, size:0x41000) >>> 3XMCPUTIME CPU usage total: 42379.604203548 secs >>> 3XMHEAPALLOC Heap bytes allocated since last GC cycle=57280 >>> (0xDFC0) >>> 3XMTHREADINFO3 Java callstack: >>> 4XESTACKTRACE at >>> org/apache/hadoop/yarn/server/resourcemanager/scheduler/capacity/LeafQueue.assignContainers(LeafQueue.java:841(Compiled >>> Code)) >>> 5XESTACKTRACE (entered lock: >>> org/apache/hadoop/yarn/server/resourcemanager/scheduler/common/fica/FiCaSchedulerApp@0x000000008360DFE0, >>> entry count: 1) >>> 5XESTACKTRACE (entered lock: >>> org/apache/hadoop/yarn/server/resourcemanager/scheduler/capacity/LeafQueue@0x00000000833B9280, >>> entry count: 1) >>> 4XESTACKTRACE at >>> org/apache/hadoop/yarn/server/resourcemanager/scheduler/capacity/ParentQueue.assignContainersToChildQueues(ParentQueue.java:655(Compiled >>> Code)) >>> 5XESTACKTRACE (entered lock: >>> org/apache/hadoop/yarn/server/resourcemanager/scheduler/capacity/ParentQueue@0x0000000083360A80, >>> entry count: 2) >>> 4XESTACKTRACE at >>> org/apache/hadoop/yarn/server/resourcemanager/scheduler/capacity/ParentQueue.assignContainers(ParentQueue.java:569(Compiled >>> Code)) >>> 5XESTACKTRACE (entered lock: >>> org/apache/hadoop/yarn/server/resourcemanager/scheduler/capacity/ParentQueue@0x0000000083360A80, >>> entry count: 1) >>> 4XESTACKTRACE at >>> org/apache/hadoop/yarn/server/resourcemanager/scheduler/capacity/CapacityScheduler.allocateContainersToNode(CapacityScheduler.java:831(Compiled >>> Code)) >>> 5XESTACKTRACE (entered lock: >>> org/apache/hadoop/yarn/server/resourcemanager/scheduler/capacity/CapacityScheduler@0x00000000834037C8, >>> entry count: 1) >>> 4XESTACKTRACE at >>> org/apache/hadoop/yarn/server/resourcemanager/scheduler/capacity/CapacityScheduler.handle(CapacityScheduler.java:878(Compiled >>> Code)) >>> 4XESTACKTRACE at >>> org/apache/hadoop/yarn/server/resourcemanager/scheduler/capacity/CapacityScheduler.handle(CapacityScheduler.java:100(Compiled >>> Code)) >>> 4XESTACKTRACE at >>> org/apache/hadoop/yarn/server/resourcemanager/ResourceManager$SchedulerEventDispatcher$EventProcessor.run(ResourceManager.java:591) >>> 4XESTACKTRACE at java/lang/Thread.run(Thread.java:853) >>> >>> 3XMTHREADINFO "ResourceManager Event Processor" >>> J9VMThread:0x0000000001D08600, j9thread_t:0x00007F032D2FAA00, >>> java/lang/Thread:0x000000008341D9A0, state:CW, prio=5 >>> 3XMJAVALTHREAD (java/lang/Thread getId:0x1E, isDaemon:false) >>> 3XMTHREADINFO1 (native thread ID:0x4B64, native priority:0x5, >>> native policy:UNKNOWN) >>> 3XMTHREADINFO2 (native stack address range >>> from:0x00007F0313DF8000, to:0x00007F0313E39000, size:0x41000) >>> 3XMCPUTIME CPU usage total: 42996.394528764 secs >>> 3XMHEAPALLOC Heap bytes allocated since last GC cycle=475576 >>> (0x741B8) >>> 3XMTHREADINFO3 Java callstack: >>> 4XESTACKTRACE at >>> java/util/TreeMap.successor(TreeMap.java:2001(Compiled Code)) >>> 4XESTACKTRACE at >>> java/util/TreeMap$PrivateEntryIterator.nextEntry(TreeMap.java:1127(Compiled >>> Code)) >>> 4XESTACKTRACE at >>> java/util/TreeMap$KeyIterator.next(TreeMap.java:1180(Compiled Code)) >>> 4XESTACKTRACE at >>> org/apache/hadoop/yarn/server/resourcemanager/scheduler/capacity/LeafQueue.assignContainers(LeafQueue.java:838(Compiled >>> Code)) >>> 5XESTACKTRACE (entered lock: >>> org/apache/hadoop/yarn/server/resourcemanager/scheduler/common/fica/FiCaSchedulerApp@0x000000008360DFE0, >>> entry count: 1) >>> 5XESTACKTRACE (entered lock: >>> org/apache/hadoop/yarn/server/resourcemanager/scheduler/capacity/LeafQueue@0x00000000833B9280, >>> entry count: 1) >>> 4XESTACKTRACE at >>> org/apache/hadoop/yarn/server/resourcemanager/scheduler/capacity/ParentQueue.assignContainersToChildQueues(ParentQueue.java:655(Compiled >>> Code)) >>> 5XESTACKTRACE (entered lock: >>> org/apache/hadoop/yarn/server/resourcemanager/scheduler/capacity/ParentQueue@0x0000000083360A80, >>> entry count: 2) >>> 4XESTACKTRACE at >>> org/apache/hadoop/yarn/server/resourcemanager/scheduler/capacity/ParentQueue.assignContainers(ParentQueue.java:569(Compiled >>> Code)) >>> 5XESTACKTRACE (entered lock: >>> org/apache/hadoop/yarn/server/resourcemanager/scheduler/capacity/ParentQueue@0x0000000083360A80, >>> entry count: 1) >>> 4XESTACKTRACE at >>> org/apache/hadoop/yarn/server/resourcemanager/scheduler/capacity/CapacityScheduler.allocateContainersToNode(CapacityScheduler.java:831(Compiled >>> Code)) >>> 5XESTACKTRACE (entered lock: >>> org/apache/hadoop/yarn/server/resourcemanager/scheduler/capacity/CapacityScheduler@0x00000000834037C8, >>> entry count: 1) >>> 4XESTACKTRACE at >>> org/apache/hadoop/yarn/server/resourcemanager/scheduler/capacity/CapacityScheduler.handle(CapacityScheduler.java:878(Compiled >>> Code)) >>> 4XESTACKTRACE at >>> org/apache/hadoop/yarn/server/resourcemanager/scheduler/capacity/CapacityScheduler.handle(CapacityScheduler.java:100(Compiled >>> Code)) >>> 4XESTACKTRACE at >>> org/apache/hadoop/yarn/server/resourcemanager/ResourceManager$SchedulerEventDispatcher$EventProcessor.run(ResourceManager.java:591) >>> 4XESTACKTRACE at java/lang/Thread.run(Thread.java:853) >>> >>> Thanks, >>> Kishore >>> >> >> >