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
>
