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Posted to dev@myriad.apache.org by "Hongtaosun (JIRA)" <ji...@apache.org> on 2017/05/22 03:05:04 UTC
[jira] [Commented] (MYRIAD-254) can not autoscale with zero profile
on myriad 0.2.0
[ https://issues.apache.org/jira/browse/MYRIAD-254?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16019105#comment-16019105 ]
Hongtaosun commented on MYRIAD-254:
-----------------------------------
<property><name>yarn.resourcemanager.scheduler.class</name><value>org.apache.myriad.scheduler.yarn.MyriadFairScheduler</value><source>yarn-site.xml</source><source>yarn-site.xml</source><source>yarn-site.xml</source><source>yarn-site.xml</source><source>yarn-site.xml</source><source>yarn-site.xml</source><source>yarn-site.xml</source><source>yarn-site.xml</source></property>
My scheduler is MyriadFairScheduler,and I have flex up three zero nodemanger successfully.But I cann't run mapreduce job.
what can I do? thank you
> can not autoscale with zero profile on myriad 0.2.0
> ---------------------------------------------------
>
> Key: MYRIAD-254
> URL: https://issues.apache.org/jira/browse/MYRIAD-254
> Project: Myriad
> Issue Type: Bug
> Components: Scheduler
> Affects Versions: Myriad 0.2.0
> Environment: mesos 1.1.0
> docker 1.12.6
> Reporter: Hongtaosun
>
> [root@csv-dcosstorage60 hadoop]# hadoop jar /usr/hadoop-2.7.0/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.7.0.jar wordcount /wordcount/1.txt /wordcount/output
> 17/03/30 17:11:13 INFO client.RMProxy: Connecting to ResourceManager at /20.26.28.246:8032
> 17/03/30 17:11:14 INFO input.FileInputFormat: Total input paths to process : 1
> 17/03/30 17:11:14 INFO mapreduce.JobSubmitter: number of splits:1
> 17/03/30 17:11:14 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1490859953345_0002
> 17/03/30 17:11:15 INFO mapreduce.JobSubmitter: Cleaning up the staging area /tmp/hadoop-yarn/staging/root/.staging/job_1490859953345_0002
> java.io.IOException: org.apache.hadoop.yarn.exceptions.InvalidResourceRequestException: Invalid resource request, requested memory < 0, or requested memory > max configured, requestedMemory=512, maxMemory=0
> at org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.validateResourceRequest(SchedulerUtils.java:204)
> at org.apache.hadoop.yarn.server.resourcemanager.RMAppManager.validateAndCreateResourceRequest(RMAppManager.java:385)
> at org.apache.hadoop.yarn.server.resourcemanager.RMAppManager.createAndPopulateNewRMApp(RMAppManager.java:328)
> 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$1.run(Server.java:2045)
> at java.security.AccessController.doPrivileged(Native Method)
> at javax.security.auth.Subject.doAs(Subject.java:415)
> at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1657)
> at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2043)
> at org.apache.hadoop.mapred.YARNRunner.submitJob(YARNRunner.java:306)
> at org.apache.hadoop.mapreduce.JobSubmitter.submitJobInternal(JobSubmitter.java:243)
> at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1290)
> at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1287)
> at java.security.AccessController.doPrivileged(Native Method)
> at javax.security.auth.Subject.doAs(Subject.java:415)
> at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1657)
> at org.apache.hadoop.mapreduce.Job.submit(Job.java:1287)
> at org.apache.hadoop.mapreduce.Job.waitForCompletion(Job.java:1308)
> at org.apache.hadoop.examples.WordCount.main(WordCount.java:87)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
> at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:606)
> at org.apache.hadoop.util.ProgramDriver$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:57)
> at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:606)
> 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=512, maxMemory=0
> when I run a mapreduce job,It cann't get resource from mesos.
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