Hi, Not sure if this is relevant, but I see this in the RM logs:
2016-06-03 13:06:55,466 INFO org.apache.myriad.scheduler.fgs.YarnNodeCapacityManager: Setting capacity for node slave1.testing.local to <memory:4637, vCores:6> 2016-06-03 13:06:55,467 INFO org.apache.hadoop.yarn.server.resourcemanager.scheduler.AbstractYarnScheduler: Update resource on node: slave1.testing.local from: <memory:0, vCores:0>, to: <memory:4637, vCores:6> 2016-06-03 13:06:55,467 INFO org.apache.myriad.scheduler.fgs.YarnNodeCapacityManager: Setting capacity for node slave1.testing.local to <memory:0, vCores:0> 2016-06-03 13:06:55,470 INFO org.apache.hadoop.yarn.server.resourcemanager.scheduler.AbstractYarnScheduler: Update resource on node: slave1.testing.local from: <memory:4637, vCores:6>, to: <memory:0, vCores:0> This is happening for each nodemanager, repeating every 5 or 6 seconds. I'm assuming this will be the NM sending the actual capacity report to the RM, for use in updating YARN's view of available resource. I don't know if it should be going back and forth like it is, though? Cheers, On 03/06/16 09:29, Stephen Gran wrote: > Hi, > > I'm trying to get fine grained scaling going on a test mesos cluster. I > have a single master and 2 agents. I am running 2 node managers with > the zero profile, one per agent. I can see both of them in the RM UI > reporting correctly as having 0 resources. > > I'm getting stack traces when I try to launch a sample application, > though. I feel like I'm just missing something obvious somewhere - can > anyone shed any light? > > This is on a build of yesterday's git head. > > Cheers, > > root@master:/srv/apps/hadoop# bin/yarn jar > share/hadoop/mapreduce/hadoop-mapreduce-examples-2.7.2.jar teragen 10000 > /outDir > 16/06/03 08:23:33 INFO client.RMProxy: Connecting to ResourceManager at > master.testing.local/10.0.5.3:8032 > 16/06/03 08:23:34 INFO terasort.TeraSort: Generating 10000 using 2 > 16/06/03 08:23:34 INFO mapreduce.JobSubmitter: number of splits:2 > 16/06/03 08:23:34 INFO mapreduce.JobSubmitter: Submitting tokens for > job: job_1464902078156_0001 > 16/06/03 08:23:35 INFO mapreduce.JobSubmitter: Cleaning up the staging > area /tmp/hadoop-yarn/staging/root/.staging/job_1464902078156_0001 > java.io.IOException: > org.apache.hadoop.yarn.exceptions.InvalidResourceRequestException: > Invalid resource request, requested memory < 0, or requested memory > > max configured, requestedMemory=1536, maxMemory=0 > at > org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.validateResourceRequest(SchedulerUtils.java:268) > at > org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.normalizeAndValidateRequest(SchedulerUtils.java:228) > at > org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.normalizeAndValidateRequest(SchedulerUtils.java:236) > at > org.apache.hadoop.yarn.server.resourcemanager.RMAppManager.validateAndCreateResourceRequest(RMAppManager.java:385) > at > org.apache.hadoop.yarn.server.resourcemanager.RMAppManager.createAndPopulateNewRMApp(RMAppManager.java:329) > at > org.apache.hadoop.yarn.server.resourcemanager.RMAppManager.submitApplication(RMAppManager.java:281) > at > org.apache.hadoop.yarn.server.resourcemanager.ClientRMService.submitApplication(ClientRMService.java:580) > at > org.apache.hadoop.yarn.api.impl.pb.service.ApplicationClientProtocolPBServiceImpl.submitApplication(ApplicationClientProtocolPBServiceImpl.java:218) > at > org.apache.hadoop.yarn.proto.ApplicationClientProtocol$ApplicationClientProtocolService$2.callBlockingMethod(ApplicationClientProtocol.java:419) > at > org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:616) > at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:969) > at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2049) > at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2045) > at java.security.AccessController.doPrivileged(Native Method) > at javax.security.auth.Subject.doAs(Subject.java:422) > at > org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1657) > at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2043) > > at org.apache.hadoop.mapred.YARNRunner.submitJob(YARNRunner.java:306) > at > org.apache.hadoop.mapreduce.JobSubmitter.submitJobInternal(JobSubmitter.java:240) > at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1290) > at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1287) > at java.security.AccessController.doPrivileged(Native Method) > at javax.security.auth.Subject.doAs(Subject.java:422) > at > org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1657) > at org.apache.hadoop.mapreduce.Job.submit(Job.java:1287) > at org.apache.hadoop.mapreduce.Job.waitForCompletion(Job.java:1308) > at org.apache.hadoop.examples.terasort.TeraGen.run(TeraGen.java:301) > at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:70) > at org.apache.hadoop.examples.terasort.TeraGen.main(TeraGen.java:305) > at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) > at > sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) > at > sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) > at java.lang.reflect.Method.invoke(Method.java:497) > at > org.apache.hadoop.util.ProgramDriver$ProgramDescription.invoke(ProgramDriver.java:71) > at org.apache.hadoop.util.ProgramDriver.run(ProgramDriver.java:144) > at > org.apache.hadoop.examples.ExampleDriver.main(ExampleDriver.java:74) > at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) > at > sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) > at > sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) > at java.lang.reflect.Method.invoke(Method.java:497) > at org.apache.hadoop.util.RunJar.run(RunJar.java:221) > at org.apache.hadoop.util.RunJar.main(RunJar.java:136) > Caused by: > org.apache.hadoop.yarn.exceptions.InvalidResourceRequestException: > Invalid resource request, requested memory < 0, or requested memory > > max configured, requestedMemory=1536, maxMemory=0 > at > org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.validateResourceRequest(SchedulerUtils.java:268) > at > org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.normalizeAndValidateRequest(SchedulerUtils.java:228) > at > org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.normalizeAndValidateRequest(SchedulerUtils.java:236) > at > org.apache.hadoop.yarn.server.resourcemanager.RMAppManager.validateAndCreateResourceRequest(RMAppManager.java:385) > at > org.apache.hadoop.yarn.server.resourcemanager.RMAppManager.createAndPopulateNewRMApp(RMAppManager.java:329) > at > org.apache.hadoop.yarn.server.resourcemanager.RMAppManager.submitApplication(RMAppManager.java:281) > at > org.apache.hadoop.yarn.server.resourcemanager.ClientRMService.submitApplication(ClientRMService.java:580) > at > org.apache.hadoop.yarn.api.impl.pb.service.ApplicationClientProtocolPBServiceImpl.submitApplication(ApplicationClientProtocolPBServiceImpl.java:218) > at > org.apache.hadoop.yarn.proto.ApplicationClientProtocol$ApplicationClientProtocolService$2.callBlockingMethod(ApplicationClientProtocol.java:419) > at > org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:616) > at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:969) > at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2049) > at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2045) > at java.security.AccessController.doPrivileged(Native Method) > at javax.security.auth.Subject.doAs(Subject.java:422) > at > org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1657) > at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2043) > > at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native > Method) > at > sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62) > at > sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45) > at java.lang.reflect.Constructor.newInstance(Constructor.java:422) > at > org.apache.hadoop.yarn.ipc.RPCUtil.instantiateException(RPCUtil.java:53) > at > org.apache.hadoop.yarn.ipc.RPCUtil.unwrapAndThrowException(RPCUtil.java:101) > at > org.apache.hadoop.yarn.api.impl.pb.client.ApplicationClientProtocolPBClientImpl.submitApplication(ApplicationClientProtocolPBClientImpl.java:239) > at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) > at > sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) > at > sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) > at java.lang.reflect.Method.invoke(Method.java:497) > at > org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:191) > at > org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:102) > at com.sun.proxy.$Proxy13.submitApplication(Unknown Source) > at > org.apache.hadoop.yarn.client.api.impl.YarnClientImpl.submitApplication(YarnClientImpl.java:253) > at > org.apache.hadoop.mapred.ResourceMgrDelegate.submitApplication(ResourceMgrDelegate.java:290) > at org.apache.hadoop.mapred.YARNRunner.submitJob(YARNRunner.java:290) > ... 24 more > Caused by: > org.apache.hadoop.ipc.RemoteException(org.apache.hadoop.yarn.exceptions.InvalidResourceRequestException): > Invalid resource request, requested memory < 0, or requested memory > > max configured, requestedMemory=1536, maxMemory=0 > at > org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.validateResourceRequest(SchedulerUtils.java:268) > at > org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.normalizeAndValidateRequest(SchedulerUtils.java:228) > at > org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.normalizeAndValidateRequest(SchedulerUtils.java:236) > at > org.apache.hadoop.yarn.server.resourcemanager.RMAppManager.validateAndCreateResourceRequest(RMAppManager.java:385) > at > org.apache.hadoop.yarn.server.resourcemanager.RMAppManager.createAndPopulateNewRMApp(RMAppManager.java:329) > at > org.apache.hadoop.yarn.server.resourcemanager.RMAppManager.submitApplication(RMAppManager.java:281) > at > org.apache.hadoop.yarn.server.resourcemanager.ClientRMService.submitApplication(ClientRMService.java:580) > at > org.apache.hadoop.yarn.api.impl.pb.service.ApplicationClientProtocolPBServiceImpl.submitApplication(ApplicationClientProtocolPBServiceImpl.java:218) > at > org.apache.hadoop.yarn.proto.ApplicationClientProtocol$ApplicationClientProtocolService$2.callBlockingMethod(ApplicationClientProtocol.java:419) > at > org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:616) > at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:969) > at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2049) > at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2045) > at java.security.AccessController.doPrivileged(Native Method) > at javax.security.auth.Subject.doAs(Subject.java:422) > at > org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1657) > at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2043) > > at org.apache.hadoop.ipc.Client.call(Client.java:1475) > at org.apache.hadoop.ipc.Client.call(Client.java:1412) > at > org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:229) > at com.sun.proxy.$Proxy12.submitApplication(Unknown Source) > at > org.apache.hadoop.yarn.api.impl.pb.client.ApplicationClientProtocolPBClientImpl.submitApplication(ApplicationClientProtocolPBClientImpl.java:236) > ... 34 more > > > Cheers, > -- > Stephen Gran > Senior Technical Architect > > picture the possibilities | piksel.com > This message is private and confidential. If you have received this message > in error, please notify the sender or serviced...@piksel.com and remove it > from your system. > > Piksel Inc is a company registered in the United States New York City, 1250 > Broadway, Suite 1902, New York, NY 10001. F No. = 2931986 > -- Stephen Gran Senior Technical Architect picture the possibilities | piksel.com
