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YARN에 스파크 응용 프로그램을 제출하는 동안 컨테이너에 대해 아래 오류가 표시됩니다. HADOOP (2.7.3)/SPARK (2.1) 환경은 단일 노드 클러스터에서 가상 분산 모드를 실행 중입니다. 응용 프로그램은 로컬 모델에서 실행되도록 만들었지 만 YARN을 RM으로 사용하여 클러스터 모드에서 정확성을 검사하고 일부로드 블록을 치려고 할 때 완벽하게 작동합니다. 그러므로이 세상에 새로운 도움을 구하십시오.org.apache.spark.rpc.RpcTimeoutException : [120 초] 후에 선물 시간이 초과되었습니다. 이 제한 시간은 spark.rpc.lookupTimeout에 의해 제어됩니다.
--- 응용 프로그램 로그
2017-04-11 07:13:28 INFO Client:58 - Submitting application 1 to ResourceManager
2017-04-11 07:13:28 INFO YarnClientImpl:174 - Submitted application application_1491909036583_0001 to ResourceManager at /0.0.0.0:8032
2017-04-11 07:13:29 INFO Client:58 - Application report for application_1491909036583_0001 (state: ACCEPTED)
2017-04-11 07:13:29 INFO Client:58 -
client token: N/A
diagnostics: N/A
ApplicationMaster host: N/A
ApplicationMaster RPC port: -1
queue: default
start time: 1491909208425
final status: UNDEFINED
tracking URL: http://ip-xxx.xx.xx.xxx:8088/proxy/application_1491909036583_0001/
user: xxxx
2017-04-11 07:13:30 INFO Client:58 - Application report for application_1491909036583_0001 (state: ACCEPTED)
2017-04-11 07:13:31 INFO Client:58 - Application report for application_1491909036583_0001 (state: ACCEPTED)
2017-04-11 07:13:32 INFO Client:58 - Application report for application_1491909036583_0001 (state: ACCEPTED)
2017-04-11 07:17:37 INFO Client:58 - Application report for application_1491909036583_0001 (state: FAILED)
2017-04-11 07:17:37 INFO Client:58 -
client token: N/A
diagnostics: Application application_1491909036583_0001 failed 2 times due to AM Container for appattempt_1491909036583_0001_000002 exited with exitCode: 10
For more detailed output, check application tracking page:http://"hostname":8088/cluster/app/application_1491909036583_0001Then, click on links to logs of each attempt.
Diagnostics: Exception from container-launch.
Container id: container_1491909036583_0001_02_000001
Exit code: 10
Stack trace: ExitCodeException exitCode=10:
at org.apache.hadoop.util.Shell.runCommand(Shell.java:582)
at org.apache.hadoop.util.Shell.run(Shell.java:479)
at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:773)
at org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor.launchContainer(DefaultContainerExecutor.java:212)
at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:302)
at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:82)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
**** --- 컨테이너 로그 ****
2017-04-11 07:13:30 INFO ApplicationMaster:47 - Registered signal handlers for [TERM, HUP, INT]
2017-04-11 07:13:31 INFO ApplicationMaster:59 - ApplicationAttemptId: appattempt_1491909036583_0001_000001
2017-04-11 07:13:32 INFO SecurityManager:59 - Changing view acls to: root,xxxx
2017-04-11 07:13:32 INFO SecurityManager:59 - Changing modify acls to: root,xxxx
2017-04-11 07:13:32 INFO SecurityManager:59 - SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(root, xxxx); users with modify permissions: Set(root, xxxx)
2017-04-11 07:13:32 INFO Slf4jLogger:80 - Slf4jLogger started
2017-04-11 07:13:32 INFO Remoting:74 - Starting remoting
2017-04-11 07:13:32 INFO Remoting:74 - Remoting started; listening on addresses :[akka.tcp://[email protected]:45446]
2017-04-11 07:13:32 INFO Remoting:74 - Remoting now listens on addresses: [akka.tcp://[email protected]:45446]
2017-04-11 07:13:32 INFO Utils:59 - Successfully started service 'sparkYarnAM' on port 45446.
2017-04-11 07:13:32 INFO ApplicationMaster:59 - Waiting for Spark driver to be reachable.
2017-04-11 07:13:32 INFO ApplicationMaster:59 - Driver now available: xxx.xx.xx.xxx:47503
2017-04-11 07:15:32 ERROR ApplicationMaster:96 - Uncaught exception:
org.apache.spark.rpc.RpcTimeoutException: Futures timed out after [120 seconds]. This timeout is controlled by spark.rpc.lookupTimeout
at org.apache.spark.rpc.RpcTimeout.org$apache$spark$rpc$RpcTimeout$$createRpcTimeoutException(RpcEnv.scala:214)
at org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcEnv.scala:229)
at org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcEnv.scala:225)
at scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scala:33)
at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcEnv.scala:242)
at org.apache.spark.rpc.RpcEnv.setupEndpointRefByURI(RpcEnv.scala:98)
at org.apache.spark.rpc.RpcEnv.setupEndpointRef(RpcEnv.scala:116)
at org.apache.spark.deploy.yarn.ApplicationMaster.runAMEndpoint(ApplicationMaster.scala:279)
at org.apache.spark.deploy.yarn.ApplicationMaster.waitForSparkDriver(ApplicationMaster.scala:473)
at org.apache.spark.deploy.yarn.ApplicationMaster.runExecutorLauncher(ApplicationMaster.scala:315)
at org.apache.spark.deploy.yarn.ApplicationMaster.run(ApplicationMaster.scala:157)
at org.apache.spark.deploy.yarn.ApplicationMaster$$anonfun$main$1.apply$mcV$sp(ApplicationMaster.scala:625)
at org.apache.spark.deploy.SparkHadoopUtil$$anon$1.run(SparkHadoopUtil.scala:69)
at org.apache.spark.deploy.SparkHadoopUtil$$anon$1.run(SparkHadoopUtil.scala:68)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1698)
at org.apache.spark.deploy.SparkHadoopUtil.runAsSparkUser(SparkHadoopUtil.scala:68)
at org.apache.spark.deploy.yarn.ApplicationMaster$.main(ApplicationMaster.scala:623)
at org.apache.spark.deploy.yarn.ExecutorLauncher$.main(ApplicationMaster.scala:646)
at org.apache.spark.deploy.yarn.ExecutorLauncher.main(ApplicationMaster.scala)
Caused by: java.util.concurrent.TimeoutException: Futures timed out after [120 seconds]
at scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:219)
at scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:223)
at scala.concurrent.Await$$anonfun$result$1.apply(package.scala:107)
at scala.concurrent.BlockContext$DefaultBlockContext$.blockOn(BlockContext.scala:53)
at scala.concurrent.Await$.result(package.scala:107)
at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcEnv.scala:241)
... 16 more
2017-04-11 07:15:32 INFO ApplicationMaster:59 - Final app status: FAILED, exitCode: 10, (reason: Uncaught exception: org.apache.spark.rpc.RpcTimeoutException: Futures timed out after [120 seconds]. This timeout is controlled by spark.rpc.lookupTimeout)
2017-04-11 07:15:32 INFO ShutdownHookManager:59 - Shutdown hook called
--Yarn 노드 관리자 로그
2017-04-11 07:15:18,728 INFO org.apache.hadoop.yarn.server.nodemanager.containermanager.monitor.ContainersMonitorImpl: Memory usage of ProcessTree 30015 for container-id container_1491909036583_0001_01_000001: 201.6 MB of 1 GB physical memory used; 2.3 GB of 4 GB virtual memory used
2017-04-11 07:15:21,735 INFO org.apache.hadoop.yarn.server.nodemanager.containermanager.monitor.ContainersMonitorImpl: Memory usage of ProcessTree 30015 for container-id container_1491909036583_0001_01_000001: 201.6 MB of 1 GB physical memory used; 2.3 GB of 4 GB virtual memory used
2017-04-11 07:15:24,742 INFO org.apache.hadoop.yarn.server.nodemanager.containermanager.monitor.ContainersMonitorImpl: Memory usage of ProcessTree 30015 for container-id container_1491909036583_0001_01_000001: 201.6 MB of 1 GB physical memory used; 2.3 GB of 4 GB virtual memory used
2017-04-11 07:15:27,749 INFO org.apache.hadoop.yarn.server.nodemanager.containermanager.monitor.ContainersMonitorImpl: Memory usage of ProcessTree 30015 for container-id container_1491909036583_0001_01_000001: 201.6 MB of 1 GB physical memory used; 2.3 GB of 4 GB virtual memory used
2017-04-11 07:15:30,756 INFO org.apache.hadoop.yarn.server.nodemanager.containermanager.monitor.ContainersMonitorImpl: Memory usage of ProcessTree 30015 for container-id container_1491909036583_0001_01_000001: 201.6 MB of 1 GB physical memory used; 2.3 GB of 4 GB virtual memory used
2017-04-11 07:15:33,018 WARN org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor: Exit code from container container_1491909036583_0001_01_000001 is : 10
2017-04-11 07:15:33,019 WARN org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor: Exception from container-launch with container ID: container_1491909036583_0001_01_000001 and exit code: 10
ExitCodeException exitCode=10:
at org.apache.hadoop.util.Shell.runCommand(Shell.java:582)
- SparkCOntext 문제를보고 정지 할 때까지 언급 한 바와 같이 매개 변수
<!-- Spark Configuration -->
<bean id="sparkInfo" class="SparkInfo">
<property name="appName" value="framework"></property>
<property name="master" value="yarn-client"></property>
<property name="dynamicAllocation" value="false"></property>
<property name="executorInstances" value="2"></property>
<property name="executorMemory" value="1g"></property>
<property name="executorCores" value="4"></property>
<property name="executorCoresMax" value="2"></property>
<property name="taskCpus" value="4"></property>
<property name="executorClassPath" value="/usr/hadoop/hadoop-2.7.3/share/hadoop/yarn/lib/*"></property>
<property name="yarnJar"
value="${framework.hdfsURI}/app/spark-1.5.0-bin-hadoop2.6/lib/spark-assembly-1.5.0-hadoop2.6.0.jar"></property>
<property name="yarnQueue" value="default"></property>
<property name="memoryFraction" value="0.4"></property>
</bean>
sparks.default.conf
spark.driver.memory 1g
spark.executor.extraJavaOptions -XX:ReservedCodeCacheSize=100M -XX:MaxMetaspaceSize=256m -XX:CompressedClassSpaceSize=256m
spark.rpc.lookupTimeout 600s
원사를 site.xml
<!-- Site specific YARN configuration properties -->
<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>
</property>
<property>
<name>yarn.scheduler.minimum-allocation-mb</name>
<value>1024</value>
</property>
<property>
<name>yarn.scheduler.maximum-allocation-mb</name>
<value>3096</value>
</property>
<property>
<name>yarn.nodemanager.resource.memory-mb</name>
<value>3096</value>
</property>
<property>
<name>yarn.nodemanager.vmem-pmem-ratio</name>
<value>4</value>
</property>
</configuration>
'spark.network.timeout'을'SparkConf'에서 더 높은 값으로 설정하려고합니다 (예 :'200s'). – himanshuIIITian