Will do today, if you'd like to help with the documentation I could give you access.
On Wed, Jun 8, 2016 at 3:14 AM, Stephen Gran <stephen.g...@piksel.com> wrote: > Hi, > > Can someone with access please correct the screenshot here: > https://cwiki.apache.org/confluence/display/MYRIAD/Fine-grained+Scaling > > This gives the strong impression that you don't need an NM with non-zero > resources. I think this is what initially steered me down the wrong path. > > Cheers, > > On 03/06/16 16:38, Darin Johnson wrote: > > That is correct you need at least one node manager with the minimum > > requirements to launch an ApplicationMaster. Otherwise YARN will throw > an > > exception. > > > > On Fri, Jun 3, 2016 at 10:52 AM, yuliya Feldman > <yufeld...@yahoo.com.invalid > >> wrote: > > > >> I believe you need at least one NM that is not subject to fine grain > >> scaling. > >> So far if total resources on the cluster is less then a single container > >> needs for AM you won't be able to submit any app.As exception below > tells > >> you. > >> (Invalid resource request, requested memory < 0, or requested memory > >max > >> configured, requestedMemory=1536, maxMemory=0 > >> at) > >> I believe by default when starting Myriad cluster one NM with non 0 > >> capacity should start by default. > >> In addition see in RM log whether offers with resources are coming to > RM - > >> this info should be in the log. > >> > >> From: Stephen Gran <stephen.g...@piksel.com> > >> To: "dev@myriad.incubator.apache.org" < > dev@myriad.incubator.apache.org> > >> Sent: Friday, June 3, 2016 1:29 AM > >> Subject: problem getting fine grained scaling workig > >> > >> 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 >
