Hi,
I think those are the properties I added when I started getting this
error. Removing them doesn't seem to make any difference, sadly.
This is hadoop 2.7.2
Cheers,
On 05/06/16 14:45, Darin Johnson wrote:
> Hey Stephen,
>
> I think you're pretty close.
>
> Looking at the config I'd suggest removing these properties:
>
> <property>
> <name>yarn.nodemanager.resource.memory-mb</name>
> <value>4096</value>
> </property>
> <property>
> <name>yarn.scheduler.maximum-allocation-vcores</name>
> <value>12</value>
> </property>
> <property>
> <name>yarn.scheduler.maximum-allocation-mb</name>
> <value>8192</value>
> </property>
> <property>
> <name>yarn.nodemanager.vmem-check-enabled</name>
> <value>false</value>
> <description>Whether virtual memory limits will be enforced for
> containers</description>
> </property>
> <property>
> <name>yarn.nodemanager.vmem-pmem-ratio</name>
> <value>4</value>
> <description>Ratio between virtual memory to physical memory when
> setting memory limits for containers</description>
> </property>
>
> I'll try them out on my test cluster later today/tonight and see if I can
> recreate the problem. What version of hadoop are you running? I'll make
> sure I'm consistent with that as well.
>
> Thanks,
>
> Darin
> On Jun 5, 2016 8:15 AM, "Stephen Gran" <stephen.g...@piksel.com> wrote:
>
>> Hi,
>>
>> Attached. Thanks very much for looking.
>>
>> Cheers,
>>
>> On 05/06/16 12:51, Darin Johnson wrote:
>>> Hey Steven can you please send your yarn-site.xml, I'm guessing you're on
>>> the right track.
>>>
>>> Darin
>>> Hi,
>>>
>>> OK. That helps, thank you. I think I just misunderstood the docs (or
>>> they never said explicitly that you did need at least some static
>>> resource), and I scaled down the initial nm.medium that got started. I
>>> get a bit further now, and jobs start but are killed with:
>>>
>>> Diagnostics: Container
>>> [pid=3865,containerID=container_1465112239753_0001_03_000001] is running
>>> beyond virtual memory limits. Current usage: 50.7 MB of 0B physical
>>> memory used; 2.6 GB of 0B virtual memory used. Killing container
>>>
>>> When I've seen this in the past with yarn but without myriad, it was
>>> usually about ratios of vmem to mem and things like that - I've tried
>>> some of those knobs, but I didn't expect much result and didn't get any.
>>>
>>> What strikes me about the error message is that the vmem and mem
>>> allocations are for 0.
>>>
>>> I'm sorry for asking what are probably naive questions here, I couldn't
>>> find a different forum. If there is one, please point me there so I
>>> don't disrupt the dev flow here.
>>>
>>> I can see this in the logs:
>>>
>>>
>>> 2016-06-05 07:39:25,687 INFO
>>>
>> org.apache.hadoop.yarn.server.resourcemanager.rmcontainer.RMContainerImpl:
>>> container_1465112239753_0001_03_000001 Container Transitioned from NEW
>>> to ALLOCATED
>>> 2016-06-05 07:39:25,688 INFO
>>> org.apache.hadoop.yarn.server.resourcemanager.RMAuditLogger: USER=root
>>> OPERATION=AM Allocated Container TARGET=SchedulerApp
>>> RESULT=SUCCESS APPID=application_1465112239753_0001
>>> CONTAINERID=container_1465112239753_0001_03_000001
>>> 2016-06-05 07:39:25,688 INFO
>>> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerNode:
>>> Assigned container container_1465112239753_0001_03_000001 of capacity
>>> <memory:0, vCores:0> on host slave2.testing.local:26688, which has 1
>>> containers, <memory:0, vCores:0> used and <memory:4096, vCores:1>
>>> available after allocation
>>> 2016-06-05 07:39:25,689 INFO
>>>
>> org.apache.hadoop.yarn.server.resourcemanager.security.NMTokenSecretManagerInRM:
>>> Sending NMToken for nodeId : slave2.testing.local:26688 for container :
>>> container_1465112239753_0001_03_000001
>>> 2016-06-05 07:39:25,696 INFO
>>>
>> org.apache.hadoop.yarn.server.resourcemanager.rmcontainer.RMContainerImpl:
>>> container_1465112239753_0001_03_000001 Container Transitioned from
>>> ALLOCATED to ACQUIRED
>>> 2016-06-05 07:39:25,696 INFO
>>>
>> org.apache.hadoop.yarn.server.resourcemanager.security.NMTokenSecretManagerInRM:
>>> Clear node set for appattempt_1465112239753_0001_000003
>>> 2016-06-05 07:39:25,696 INFO
>>>
>> org.apache.hadoop.yarn.server.resourcemanager.rmapp.attempt.RMAppAttemptImpl:
>>> Storing attempt: AppId: application_1465112239753_0001 AttemptId:
>>> appattempt_1465112239753_0001_000003 MasterContainer: Container:
>>> [ContainerId: container_1465112239753_0001_03_000001, NodeId:
>>> slave2.testing.local:26688, NodeHttpAddress: slave2.testing.local:24387,
>>> Resource: <memory:0, vCores:0>, Priority: 0, Token: Token { kind:
>>> ContainerToken, service: 10.0.5.5:26688 }, ]
>>> 2016-06-05 07:39:25,697 INFO
>>>
>> org.apache.hadoop.yarn.server.resourcemanager.rmapp.attempt.RMAppAttemptImpl:
>>> appattempt_1465112239753_0001_000003 State change from SCHEDULED to
>>> ALLOCATED_SAVING
>>> 2016-06-05 07:39:25,698 INFO
>>>
>> org.apache.hadoop.yarn.server.resourcemanager.rmapp.attempt.RMAppAttemptImpl:
>>> appattempt_1465112239753_0001_000003 State change from ALLOCATED_SAVING
>>> to ALLOCATED
>>> 2016-06-05 07:39:25,699 INFO
>>> org.apache.hadoop.yarn.server.resourcemanager.amlauncher.AMLauncher:
>>> Launching masterappattempt_1465112239753_0001_000003
>>> 2016-06-05 07:39:25,705 INFO
>>> org.apache.hadoop.yarn.server.resourcemanager.amlauncher.AMLauncher:
>>> Setting up container Container: [ContainerId:
>>> container_1465112239753_0001_03_000001, NodeId:
>>> slave2.testing.local:26688, NodeHttpAddress: slave2.testing.local:24387,
>>> Resource: <memory:0, vCores:0>, Priority: 0, Token: Token { kind:
>>> ContainerToken, service: 10.0.5.5:26688 }, ] for AM
>>> appattempt_1465112239753_0001_000003
>>> 2016-06-05 07:39:25,705 INFO
>>> org.apache.hadoop.yarn.server.resourcemanager.amlauncher.AMLauncher:
>>> Command to launch container container_1465112239753_0001_03_000001 :
>>> $JAVA_HOME/bin/java -Djava.io.tmpdir=$PWD/tmp
>>> -Dlog4j.configuration=container-log4j.properties
>>> -Dyarn.app.container.log.dir=<LOG_DIR>
>>> -Dyarn.app.container.log.filesize=0 -Dhadoop.root.logger=INFO,CLA
>>> -Dhadoop.root.logfile=syslog -Xmx1024m
>>> org.apache.hadoop.mapreduce.v2.app.MRAppMaster 1><LOG_DIR>/stdout
>>> 2><LOG_DIR>/stderr
>>> 2016-06-05 07:39:25,706 INFO
>>>
>> org.apache.hadoop.yarn.server.resourcemanager.security.AMRMTokenSecretManager:
>>> Create AMRMToken for ApplicationAttempt:
>>> appattempt_1465112239753_0001_000003
>>> 2016-06-05 07:39:25,707 INFO
>>>
>> org.apache.hadoop.yarn.server.resourcemanager.security.AMRMTokenSecretManager:
>>> Creating password for appattempt_1465112239753_0001_000003
>>> 2016-06-05 07:39:25,727 INFO
>>> org.apache.hadoop.yarn.server.resourcemanager.amlauncher.AMLauncher:
>>> Done launching container Container: [ContainerId:
>>> container_1465112239753_0001_03_000001, NodeId:
>>> slave2.testing.local:26688, NodeHttpAddress: slave2.testing.local:24387,
>>> Resource: <memory:0, vCores:0>, Priority: 0, Token: Token { kind:
>>> ContainerToken, service: 10.0.5.5:26688 }, ] for AM
>>> appattempt_1465112239753_0001_000003
>>> 2016-06-05 07:39:25,728 INFO
>>>
>> org.apache.hadoop.yarn.server.resourcemanager.rmapp.attempt.RMAppAttemptImpl:
>>> appattempt_1465112239753_0001_000003 State change from ALLOCATED to
>> LAUNCHED
>>> 2016-06-05 07:39:25,736 WARN
>>> org.apache.myriad.scheduler.event.handlers.StatusUpdateEventHandler:
>>> Task: yarn_container_1465112239753_0001_03_000001 not found, status:
>>> TASK_RUNNING
>>> 2016-06-05 07:39:26,510 INFO org.apache.hadoop.yarn.util.RackResolver:
>>> Resolved slave1.testing.local to /default-rack
>>> 2016-06-05 07:39:26,517 WARN
>>> org.apache.myriad.scheduler.fgs.NMHeartBeatHandler: FineGrainedScaling
>>> feature got invoked for a NM with non-zero capacity. Host:
>>> slave1.testing.local, Mem: 4096, CPU: 0. Setting the NM's capacity to
>>> (0G,0CPU)
>>> 2016-06-05 07:39:26,517 INFO
>>> org.apache.hadoop.yarn.server.resourcemanager.rmnode.RMNodeImpl:
>>> slave1.testing.local:29121 Node Transitioned from NEW to RUNNING
>>> 2016-06-05 07:39:26,518 INFO
>>>
>> org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.FairScheduler:
>>> Added node slave1.testing.local:29121 cluster capacity: <memory:4096,
>>> vCores:1>
>>> 2016-06-05 07:39:26,519 INFO
>>> org.apache.myriad.scheduler.fgs.YarnNodeCapacityManager:
>>> afterSchedulerEventHandled: NM registration from node
>> slave1.testing.local
>>> 2016-06-05 07:39:26,528 INFO
>>> org.apache.hadoop.yarn.server.resourcemanager.ResourceTrackerService:
>>> received container statuses on node manager register :[container_id {
>>> app_attempt_id { application_id { id: 1 cluster_timestamp: 1465112239753
>>> } attemptId: 2 } id: 1 } container_state: C_RUNNING resource { memory: 0
>>> virtual_cores: 0 } priority { priority: 0 } diagnostics: ""
>>> container_exit_status: -1000 creation_time: 1465112356478]
>>> 2016-06-05 07:39:26,530 INFO
>>> org.apache.hadoop.yarn.server.resourcemanager.ResourceTrackerService:
>>> NodeManager from node slave1.testing.local(cmPort: 29121 httpPort:
>>> 20456) registered with capability: <memory:0, vCores:0>, assigned nodeId
>>> slave1.testing.local:29121
>>> 2016-06-05 07:39:26,611 INFO
>>> org.apache.myriad.scheduler.fgs.YarnNodeCapacityManager: Setting
>>> capacity for node slave1.testing.local to <memory:4637, vCores:6>
>>> 2016-06-05 07:39:26,611 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>
>>> 2016-06-05 07:39:26,615 INFO
>>> org.apache.myriad.scheduler.fgs.YarnNodeCapacityManager: Setting
>>> capacity for node slave1.testing.local to <memory:0, vCores:0>
>>> 2016-06-05 07:39:26,616 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>
>>> 2016-06-05 07:39:26,691 INFO
>>>
>> org.apache.hadoop.yarn.server.resourcemanager.rmcontainer.RMContainerImpl:
>>> container_1465112239753_0001_03_000001 Container Transitioned from
>>> ACQUIRED to RUNNING
>>> 2016-06-05 07:39:26,835 WARN
>>> org.apache.myriad.scheduler.event.handlers.StatusUpdateEventHandler:
>>> Task: yarn_container_1465112239753_0001_03_000001 not found, status:
>>> TASK_FINISHED
>>> 2016-06-05 07:39:27,603 INFO
>>> org.apache.myriad.scheduler.event.handlers.ResourceOffersEventHandler:
>>> Received offers 1
>>> 2016-06-05 07:39:27,748 INFO
>>>
>> org.apache.hadoop.yarn.server.resourcemanager.rmcontainer.RMContainerImpl:
>>> container_1465112239753_0001_03_000001 Container Transitioned from
>>> RUNNING to COMPLETED
>>> 2016-06-05 07:39:27,748 INFO
>>>
>> org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.FSAppAttempt:
>>> Completed container: container_1465112239753_0001_03_000001 in state:
>>> COMPLETED event:FINISHED
>>> 2016-06-05 07:39:27,748 INFO
>>> org.apache.hadoop.yarn.server.resourcemanager.RMAuditLogger: USER=root
>>> OPERATION=AM Released Container TARGET=SchedulerApp
>>> RESULT=SUCCESS APPID=application_1465112239753_0001
>>> CONTAINERID=container_1465112239753_0001_03_000001
>>> 2016-06-05 07:39:27,748 INFO
>>> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerNode:
>>> Released container container_1465112239753_0001_03_000001 of capacity
>>> <memory:0, vCores:0> on host slave2.testing.local:26688, which currently
>>> has 0 containers, <memory:0, vCores:0> used and <memory:4096, vCores:1>
>>> available, release resources=true
>>> 2016-06-05 07:39:27,748 INFO
>>>
>> org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.FairScheduler:
>>> Application attempt appattempt_1465112239753_0001_000003 released
>>> container container_1465112239753_0001_03_000001 on node: host:
>>> slave2.testing.local:26688 #containers=0 available=<memory:4096,
>>> vCores:1> used=<memory:0, vCores:0> with event: FINISHED
>>> 2016-06-05 07:39:27,749 INFO
>>>
>> org.apache.hadoop.yarn.server.resourcemanager.rmapp.attempt.RMAppAttemptImpl:
>>> Updating application attempt appattempt_1465112239753_0001_000003 with
>>> final state: FAILED, and exit status: -103
>>> 2016-06-05 07:39:27,750 INFO
>>>
>> org.apache.hadoop.yarn.server.resourcemanager.rmapp.attempt.RMAppAttemptImpl:
>>> appattempt_1465112239753_0001_000003 State change from LAUNCHED to
>>> FINAL_SAVING
>>> 2016-06-05 07:39:27,751 INFO
>>> org.apache.hadoop.yarn.server.resourcemanager.ApplicationMasterService:
>>> Unregistering app attempt : appattempt_1465112239753_0001_000003
>>> 2016-06-05 07:39:27,751 INFO
>>>
>> org.apache.hadoop.yarn.server.resourcemanager.security.AMRMTokenSecretManager:
>>> Application finished, removing password for
>>> appattempt_1465112239753_0001_000003
>>> 2016-06-05 07:39:27,751 INFO
>>>
>> org.apache.hadoop.yarn.server.resourcemanager.rmapp.attempt.RMAppAttemptImpl:
>>> appattempt_1465112239753_0001_000003 State change from FINAL_SAVING to
>>> FAILED
>>> 2016-06-05 07:39:27,751 INFO
>>> org.apache.hadoop.yarn.server.resourcemanager.rmapp.RMAppImpl: The
>>> number of failed attempts is 2. The max attempts is 2
>>> 2016-06-05 07:39:27,753 INFO
>>> org.apache.hadoop.yarn.server.resourcemanager.rmapp.RMAppImpl: Updating
>>> application application_1465112239753_0001 with final state: FAILED
>>> 2016-06-05 07:39:27,756 INFO
>>> org.apache.hadoop.yarn.server.resourcemanager.rmapp.RMAppImpl:
>>> application_1465112239753_0001 State change from ACCEPTED to FINAL_SAVING
>>> 2016-06-05 07:39:27,757 INFO
>>>
>> org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.FairScheduler:
>>> Application appattempt_1465112239753_0001_000003 is done.
>> finalState=FAILED
>>> 2016-06-05 07:39:27,757 INFO
>>>
>> org.apache.hadoop.yarn.server.resourcemanager.scheduler.AppSchedulingInfo:
>>> Application application_1465112239753_0001 requests cleared
>>> 2016-06-05 07:39:27,758 INFO
>>> org.apache.hadoop.yarn.server.resourcemanager.recovery.RMStateStore:
>>> Updating info for app: application_1465112239753_0001
>>> 2016-06-05 07:39:27,758 INFO
>>> org.apache.hadoop.yarn.server.resourcemanager.rmapp.RMAppImpl:
>>> Application application_1465112239753_0001 failed 2 times due to AM
>>> Container for appattempt_1465112239753_0001_000003 exited with
>>> exitCode: -103
>>> For more detailed output, check application tracking
>>> page:
>>>
>> http://master.testing.local:8088/cluster/app/application_1465112239753_0001Then
>>> ,
>>> click on links to logs of each attempt.
>>> Diagnostics: Container
>>> [pid=3865,containerID=container_1465112239753_0001_03_000001] is running
>>> beyond virtual memory limits. Current usage: 50.7 MB of 0B physical
>>> memory used; 2.6 GB of 0B virtual memory used. Killing container.
>>> Dump of the process-tree for container_1465112239753_0001_03_000001 :
>>> |- PID PPID PGRPID SESSID CMD_NAME USER_MODE_TIME(MILLIS)
>>> SYSTEM_TIME(MILLIS) VMEM_USAGE(BYTES) RSSMEM_USAGE(PAGES) FULL_CMD_LINE
>>> |- 3873 3865 3865 3865 (java) 80 26 2770927616 12614
>>> /usr/lib/jvm/java-8-openjdk-amd64/bin/java
>>>
>> -Djava.io.tmpdir=/tmp/hadoop-root/nm-local-dir/usercache/root/appcache/application_1465112239753_0001/container_1465112239753_0001_03_000001/tmp
>>> -Dlog4j.configuration=container-log4j.properties
>>>
>> -Dyarn.app.container.log.dir=/srv/apps/hadoop-2.7.2/logs/userlogs/application_1465112239753_0001/container_1465112239753_0001_03_000001
>>> -Dyarn.app.container.log.filesize=0 -Dhadoop.root.logger=INFO,CLA
>>> -Dhadoop.root.logfile=syslog -Xmx1024m
>>> org.apache.hadoop.mapreduce.v2.app.MRAppMaster
>>> |- 3865 3863 3865 3865 (bash) 0 1 11427840 354 /bin/bash -c
>>> /usr/lib/jvm/java-8-openjdk-amd64/bin/java
>>>
>> -Djava.io.tmpdir=/tmp/hadoop-root/nm-local-dir/usercache/root/appcache/application_1465112239753_0001/container_1465112239753_0001_03_000001/tmp
>>> -Dlog4j.configuration=container-log4j.properties
>>>
>> -Dyarn.app.container.log.dir=/srv/apps/hadoop-2.7.2/logs/userlogs/application_1465112239753_0001/container_1465112239753_0001_03_000001
>>> -Dyarn.app.container.log.filesize=0 -Dhadoop.root.logger=INFO,CLA
>>> -Dhadoop.root.logfile=syslog -Xmx1024m
>>> org.apache.hadoop.mapreduce.v2.app.MRAppMaster
>>>
>> 1>/srv/apps/hadoop-2.7.2/logs/userlogs/application_1465112239753_0001/container_1465112239753_0001_03_000001/stdout
>>>
>> 2>/srv/apps/hadoop-2.7.2/logs/userlogs/application_1465112239753_0001/container_1465112239753_0001_03_000001/stderr
>>>
>>>
>>> Container killed on request. Exit code is 143
>>> Container exited with a non-zero exit code 143
>>> Failing this attempt. Failing the application.
>>>
>>>
>>>
>>> On 03/06/16 15:52, yuliya Feldman 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
>>>
>>
>> --
>> Stephen Gran
>> Senior Technical Architect
>>
>> picture the possibilities | piksel.com
>>
>
--
Stephen Gran
Senior Technical Architect
picture the possibilities | piksel.com
