我向一个运行Hadoop 2.7.1的集群提交了一份工作.'jps'在Master和Slaves中没问题。“hdfs dfsadmin -report”很有趣，但是当我运行任何grep或wordcount时，它是错误的。甚至小输入文件，它会停留半个小时到一个小时，然后失败并出现以下错误。
15/12/09 08:42:55 INFO impl.YarnClientImpl: Submitted application application_1449645631518_0003
15/12/09 08:42:55 INFO mapreduce.Job: The url to track the job: http://Master:8088/proxy/application_1449645631518_0003/
15/12/09 08:42:55 INFO mapreduce.Job: Running job: job_1449645631518_0003
15/12/09 09:07:12 INFO mapreduce.Job: Job job_1449645631518_0003 running in uber mode : false
15/12/09 09:07:12 INFO mapreduce.Job: map 0% reduce 0%
15/12/09 09:07:12 INFO mapreduce.Job: Job job_1449645631518_0003 failed with state FAILED due to: Application application_1449645631518_0003 failed 2 times due to ApplicationMaster for attempt appattempt_1449645631518_0003_000002 timed out. Failing the application.
15/12/09 09:07:12 INFO mapreduce.Job: Counters: 0
15/12/09 09:07:13 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8032
15/12/09 09:07:13 INFO mapreduce.JobSubmitter: Cleaning up the staging area /tmp/hadoop-yarn/staging/hadoop/.staging/job_1449645631518_0004
org.apache.hadoop.mapreduce.lib.input.InvalidInputException: Input path does not exist: hdfs://Master:9000/user/hadoop/grep-temp-105897268
at org.apache.hadoop.mapreduce.lib.input.FileInputFormat.singleThreadedListStatus(FileInputFormat.java:323)
at org.apache.hadoop.mapreduce.lib.input.FileInputFormat.listStatus(FileInputFormat.java:265)
at org.apache.hadoop.mapreduce.lib.input.SequenceFileInputFormat.listStatus(SequenceFileInputFormat.java:59)
at org.apache.hadoop.mapreduce.lib.input.FileInputFormat.getSplits(FileInputFormat.java:387)
at org.apache.hadoop.mapreduce.JobSubmitter.writeNewSplits(JobSubmitter.java:301)
at org.apache.hadoop.mapreduce.JobSubmitter.writeSplits(JobSubmitter.java:318)
at org.apache.hadoop.mapreduce.JobSubmitter.submitJobInternal(JobSubmitter.java:196)
at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1290)
at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1287)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1657)
at org.apache.hadoop.mapreduce.Job.submit(Job.java:1287)
at org.apache.hadoop.mapreduce.Job.waitForCompletion(Job.java:1308)
at org.apache.hadoop.examples.Grep.run(Grep.java:94)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:70)
at org.apache.hadoop.examples.Grep.main(Grep.java:103)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:497)
at org.apache.hadoop.util.ProgramDriver$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)
这是ResourceManager日志：
2015-12-09 12:37:11,661 INFO org.apache.hadoop.yarn.server.resourcemanager.rmapp.RMAppImpl: The number of failed attempts is 2. The max attempts is 2
2015-12-09 12:37:11,661 INFO org.apache.hadoop.yarn.server.resourcemanager.rmapp.RMAppImpl: Updating application application_1449645631518_0005 with final state: FAILED
2015-12-09 12:37:11,661 INFO org.apache.hadoop.yarn.server.resourcemanager.recovery.RMStateStore: Updating info for app: application_1449645631518_0005
2015-12-09 12:37:11,661 INFO org.apache.hadoop.yarn.server.resourcemanager.rmapp.RMAppImpl: application_1449645631518_0005 State change from ACCEPTED to FINAL_SAVING
2015-12-09 12:37:11,661 INFO org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.CapacityScheduler: Application Attempt appattempt_1449645631518_0005_000002 is done. finalState=FAILED
2015-12-09 12:37:11,662 INFO org.apache.hadoop.yarn.server.resourcemanager.rmcontainer.RMContainerImpl: container_1449645631518_0005_02_000001 Container Transitioned from RUNNING to KILLED
2015-12-09 12:37:11,662 INFO org.apache.hadoop.yarn.server.resourcemanager.scheduler.common.fica.FiCaSchedulerApp: Completed container: container_1449645631518_0005_02_000001 in state: KILLED event:KILL
2015-12-09 12:37:11,662 INFO org.apache.hadoop.yarn.server.resourcemanager.RMAuditLogger: USER=hadoop OPERATION=AM Released Container TARGET=SchedulerApp RESULT=SUCCESS APPID=application_1449645631518_0005 CONTAINERID=container_1449645631518_0005_02_000001
2015-12-09 12:37:11,662 INFO org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerNode: Released container container_1449645631518_0005_02_000001 of capacity <memory:2048, vCores:1> on host Slave2:48352, which currently has 0 containers, <memory:0, vCores:0> used and <memory:8192, vCores:8> available, release resources=true
2015-12-09 12:37:11,662 INFO org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.LeafQueue: default used=<memory:0, vCores:0> numContainers=0 user=hadoop user-resources=<memory:0, vCores:0>
2015-12-09 12:37:11,662 INFO org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.LeafQueue: completedContainer container=Container: [ContainerId: container_1449645631518_0005_02_000001, NodeId: Slave2:48352, NodeHttpAddress: Slave2:8042, Resource: <memory:2048, vCores:1>, Priority: 0, Token: Token { kind: ContainerToken, service: 11.11.1.3:48352 }, ] queue=default: capacity=1.0, absoluteCapacity=1.0, usedResources=<memory:0, vCores:0>, usedCapacity=0.0, absoluteUsedCapacity=0.0, numApps=1, numContainers=0 cluster=<memory:16384, vCores:16>
2015-12-09 12:37:11,663 INFO org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: completedContainer queue=root usedCapacity=0.0 absoluteUsedCapacity=0.0 used=<memory:0, vCores:0> cluster=<memory:16384, vCores:16>
2015-12-09 12:37:11,663 INFO org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: Re-sorting completed queue: root.default stats: default: capacity=1.0, absoluteCapacity=1.0, usedResources=<memory:0, vCores:0>, usedCapacity=0.0, absoluteUsedCapacity=0.0, numApps=1, numContainers=0
2015-12-09 12:37:11,663 INFO org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.CapacityScheduler: Application attempt appattempt_1449645631518_0005_000002 released container container_1449645631518_0005_02_000001 on node: host: Slave2:48352 #containers=0 available=<memory:8192, vCores:8> used=<memory:0, vCores:0> with event: KILL
2015-12-09 12:37:11,663 INFO org.apache.hadoop.yarn.server.resourcemanager.scheduler.AppSchedulingInfo: Application application_1449645631518_0005 requests cleared
2015-12-09 12:37:11,663 INFO org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.LeafQueue: Application removed - appId: application_1449645631518_0005 user: hadoop queue: default #user-pending-applications: 0 #user-active-applications: 0 #queue-pending-applications: 0 #queue-active-applications: 0
2015-12-09 12:37:11,663 INFO org.apache.hadoop.yarn.server.resourcemanager.rmapp.RMAppImpl: Application application_1449645631518_0005 failed 2 times due to ApplicationMaster for attempt appattempt_1449645631518_0005_000002 timed out. Failing the application.
2015-12-09 12:37:11,667 INFO org.apache.hadoop.yarn.server.resourcemanager.rmapp.RMAppImpl: application_1449645631518_0005 State change from FINAL_SAVING to FAILED
2015-12-09 12:37:11,667 INFO org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: Application removed - appId: application_1449645631518_0005 user: hadoop leaf-queue of parent: root #applications: 0
2015-12-09 12:37:11,667 WARN org.apache.hadoop.yarn.server.resourcemanager.RMAuditLogger: USER=hadoop OPERATION=Application Finished - Failed TARGET=RMAppManager RESULT=FAILURE DESCRIPTION=App failed with state: FAILED PERMISSIONS=Application application_1449645631518_0005 failed 2 times due to ApplicationMaster for attempt appattempt_1449645631518_0005_000002 timed out. Failing the application. APPID=application_1449645631518_0005
2015-12-09 12:37:11,668 INFO org.apache.hadoop.yarn.server.resourcemanager.RMAppManager$ApplicationSummary: appId=application_1449645631518_0005,name=grep-search,user=hadoop,queue=default,state=FAILED,trackingUrl=http://Master:8088/cluster/app/application_1449645631518_0005,appMasterHost=N/A,startTime=1449663079331,finishTime=1449664631661,finalStatus=FAILED,memorySeconds=3177991,vcoreSeconds=1550,preemptedAMContainers=0,preemptedNonAMContainers=0,preemptedResources=<memory:0\, vCores:0>,applicationType=MAPREDUCE
2015-12-09 12:37:11,668 INFO org.apache.hadoop.yarn.server.resourcemanager.amlauncher.AMLauncher: Cleaning master appattempt_1449645631518_0005_000002
2015-12-09 12:37:12,366 INFO org.apache.hadoop.yarn.server.resourcemanager.ClientRMService: Allocated new applicationId: 6
2015-12-09 12:37:12,710 INFO org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.CapacityScheduler: Null container completed...
2015-12-09 12:37:12,711 INFO org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.CapacityScheduler: Null container completed...
它出了什么问题。好几天我一直困扰着我，非常感谢你的帮助！