Getting the below error with respect to the container while submitting an spark application to YARN. The HADOOP(2.7.3)/SPARK (2.1) environment is running a pseudo-distributed mode in a single node cluster. The application works perfectly when made to run in local model however trying to check its correctness in a cluster mode using YARN as RM and hit some roadblock. New to this world hence looking for help.
--- Applications logs
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) ****--- Container Logs****
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://sparkYarnAM@xxx.xx.xx.xxx:45446] 2017-04-11 07:13:32 INFO Remoting:74 - Remoting now listens on addresses: [akka.tcp://sparkYarnAM@xxx.xx.xx.xxx: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 Node Manager logs at the time of failure
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 parameters
<!-- 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 yarn-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>