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

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