List of usage examples for org.apache.hadoop.yarn.api.records ApplicationId toString
@Override
public String toString()
From source file:org.apache.twill.internal.appmaster.ApplicationMasterProcessLauncher.java
License:Apache License
@Override @SuppressWarnings("unchecked") protected <R> ProcessController<R> doLaunch(YarnLaunchContext launchContext) { ApplicationMasterInfo appMasterInfo = getContainerInfo(); ApplicationId appId = appMasterInfo.getAppId(); // Put in extra environments Map<String, String> env = ImmutableMap.<String, String>builder().putAll(launchContext.getEnvironment()) .put(EnvKeys.YARN_APP_ID, Integer.toString(appId.getId())) .put(EnvKeys.YARN_APP_ID_CLUSTER_TIME, Long.toString(appId.getClusterTimestamp())) .put(EnvKeys.YARN_APP_ID_STR, appId.toString()) .put(EnvKeys.YARN_CONTAINER_MEMORY_MB, Integer.toString(appMasterInfo.getMemoryMB())) .put(EnvKeys.YARN_CONTAINER_VIRTUAL_CORES, Integer.toString(appMasterInfo.getVirtualCores())) .build();//w w w . ja v a 2 s.co m launchContext.setEnvironment(env); return (ProcessController<R>) submitter.submit(launchContext); }
From source file:org.conan.myhadoop02.mr.yarntest.Client.java
License:Apache License
/** * Main run function for the client/*from ww w . ja v a2 s .com*/ * @return true if application completed successfully * @throws IOException * @throws YarnException */ public boolean run() throws IOException, YarnException { LOG.info("Running Client"); yarnClient.start(); YarnClusterMetrics clusterMetrics = yarnClient.getYarnClusterMetrics(); LOG.info("Got Cluster metric info from ASM" + ", numNodeManagers=" + clusterMetrics.getNumNodeManagers()); List<NodeReport> clusterNodeReports = yarnClient.getNodeReports(NodeState.RUNNING); LOG.info("Got Cluster node info from ASM"); for (NodeReport node : clusterNodeReports) { LOG.info("Got node report from ASM for" + ", nodeId=" + node.getNodeId() + ", nodeAddress" + node.getHttpAddress() + ", nodeRackName" + node.getRackName() + ", nodeNumContainers" + node.getNumContainers()); } QueueInfo queueInfo = yarnClient.getQueueInfo(this.amQueue); LOG.info("Queue info" + ", queueName=" + queueInfo.getQueueName() + ", queueCurrentCapacity=" + queueInfo.getCurrentCapacity() + ", queueMaxCapacity=" + queueInfo.getMaximumCapacity() + ", queueApplicationCount=" + queueInfo.getApplications().size() + ", queueChildQueueCount=" + queueInfo.getChildQueues().size()); List<QueueUserACLInfo> listAclInfo = yarnClient.getQueueAclsInfo(); for (QueueUserACLInfo aclInfo : listAclInfo) { for (QueueACL userAcl : aclInfo.getUserAcls()) { LOG.info("User ACL Info for Queue" + ", queueName=" + aclInfo.getQueueName() + ", userAcl=" + userAcl.name()); } } if (domainId != null && domainId.length() > 0 && toCreateDomain) { prepareTimelineDomain(); } // Get a new application id YarnClientApplication app = yarnClient.createApplication(); GetNewApplicationResponse appResponse = app.getNewApplicationResponse(); // TODO get min/max resource capabilities from RM and change memory ask if needed // If we do not have min/max, we may not be able to correctly request // the required resources from the RM for the app master // Memory ask has to be a multiple of min and less than max. // Dump out information about cluster capability as seen by the resource manager int maxMem = appResponse.getMaximumResourceCapability().getMemory(); LOG.info("Max mem capabililty of resources in this cluster " + maxMem); // A resource ask cannot exceed the max. if (amMemory > maxMem) { LOG.info("AM memory specified above max threshold of cluster. Using max value." + ", specified=" + amMemory + ", max=" + maxMem); amMemory = maxMem; } int maxVCores = appResponse.getMaximumResourceCapability().getVirtualCores(); LOG.info("Max virtual cores capabililty of resources in this cluster " + maxVCores); if (amVCores > maxVCores) { LOG.info("AM virtual cores specified above max threshold of cluster. " + "Using max value." + ", specified=" + amVCores + ", max=" + maxVCores); amVCores = maxVCores; } // set the application name ApplicationSubmissionContext appContext = app.getApplicationSubmissionContext(); ApplicationId appId = appContext.getApplicationId(); appContext.setKeepContainersAcrossApplicationAttempts(keepContainers); appContext.setApplicationName(appName); if (attemptFailuresValidityInterval >= 0) { appContext.setAttemptFailuresValidityInterval(attemptFailuresValidityInterval); } // set local resources for the application master // local files or archives as needed // In this scenario, the jar file for the application master is part of the local resources Map<String, LocalResource> localResources = new HashMap<String, LocalResource>(); LOG.info("Copy App Master jar from local filesystem and add to local environment"); // Copy the application master jar to the filesystem // Create a local resource to point to the destination jar path FileSystem fs = FileSystem.get(conf); addToLocalResources(fs, appMasterJar, appMasterJarPath, appId.toString(), localResources, null); // Set the log4j properties if needed if (!log4jPropFile.isEmpty()) { addToLocalResources(fs, log4jPropFile, log4jPath, appId.toString(), localResources, null); } // The shell script has to be made available on the final container(s) // where it will be executed. // To do this, we need to first copy into the filesystem that is visible // to the yarn framework. // We do not need to set this as a local resource for the application // master as the application master does not need it. String hdfsShellScriptLocation = ""; long hdfsShellScriptLen = 0; long hdfsShellScriptTimestamp = 0; if (!shellScriptPath.isEmpty()) { Path shellSrc = new Path(shellScriptPath); String shellPathSuffix = appName + "/" + appId.toString() + "/" + SCRIPT_PATH; Path shellDst = new Path(fs.getHomeDirectory(), shellPathSuffix); fs.copyFromLocalFile(false, true, shellSrc, shellDst); hdfsShellScriptLocation = shellDst.toUri().toString(); FileStatus shellFileStatus = fs.getFileStatus(shellDst); hdfsShellScriptLen = shellFileStatus.getLen(); hdfsShellScriptTimestamp = shellFileStatus.getModificationTime(); } if (!shellCommand.isEmpty()) { addToLocalResources(fs, null, shellCommandPath, appId.toString(), localResources, shellCommand); } if (shellArgs.length > 0) { addToLocalResources(fs, null, shellArgsPath, appId.toString(), localResources, StringUtils.join(shellArgs, " ")); } // Set the necessary security tokens as needed //amContainer.setContainerTokens(containerToken); // Set the env variables to be setup in the env where the application master will be run LOG.info("Set the environment for the application master"); Map<String, String> env = new HashMap<String, String>(); // put location of shell script into env // using the env info, the application master will create the correct local resource for the // eventual containers that will be launched to execute the shell scripts env.put(DSConstants.DISTRIBUTEDSHELLSCRIPTLOCATION, hdfsShellScriptLocation); env.put(DSConstants.DISTRIBUTEDSHELLSCRIPTTIMESTAMP, Long.toString(hdfsShellScriptTimestamp)); env.put(DSConstants.DISTRIBUTEDSHELLSCRIPTLEN, Long.toString(hdfsShellScriptLen)); if (domainId != null && domainId.length() > 0) { env.put(DSConstants.DISTRIBUTEDSHELLTIMELINEDOMAIN, domainId); } // Add AppMaster.jar location to classpath // At some point we should not be required to add // the hadoop specific classpaths to the env. // It should be provided out of the box. // For now setting all required classpaths including // the classpath to "." for the application jar StringBuilder classPathEnv = new StringBuilder(Environment.CLASSPATH.$$()) .append(ApplicationConstants.CLASS_PATH_SEPARATOR).append("./*"); for (String c : conf.getStrings(YarnConfiguration.YARN_APPLICATION_CLASSPATH, YarnConfiguration.DEFAULT_YARN_CROSS_PLATFORM_APPLICATION_CLASSPATH)) { classPathEnv.append(ApplicationConstants.CLASS_PATH_SEPARATOR); classPathEnv.append(c.trim()); } classPathEnv.append(ApplicationConstants.CLASS_PATH_SEPARATOR).append("./log4j.properties"); // add the runtime classpath needed for tests to work if (conf.getBoolean(YarnConfiguration.IS_MINI_YARN_CLUSTER, false)) { classPathEnv.append(':'); classPathEnv.append(System.getProperty("java.class.path")); } env.put("CLASSPATH", classPathEnv.toString()); // Set the necessary command to execute the application master Vector<CharSequence> vargs = new Vector<CharSequence>(30); // Set java executable command LOG.info("Setting up app master command"); vargs.add(Environment.JAVA_HOME.$$() + "/bin/java"); // Set Xmx based on am memory size vargs.add("-Xmx" + amMemory + "m"); // Set class name vargs.add(appMasterMainClass); // Set params for Application Master vargs.add("--container_memory " + String.valueOf(containerMemory)); vargs.add("--container_vcores " + String.valueOf(containerVirtualCores)); vargs.add("--num_containers " + String.valueOf(numContainers)); if (null != nodeLabelExpression) { appContext.setNodeLabelExpression(nodeLabelExpression); } vargs.add("--priority " + String.valueOf(shellCmdPriority)); for (Map.Entry<String, String> entry : shellEnv.entrySet()) { vargs.add("--shell_env " + entry.getKey() + "=" + entry.getValue()); } if (debugFlag) { vargs.add("--debug"); } vargs.add("1>" + ApplicationConstants.LOG_DIR_EXPANSION_VAR + "/AppMaster.stdout"); vargs.add("2>" + ApplicationConstants.LOG_DIR_EXPANSION_VAR + "/AppMaster.stderr"); // Get final commmand StringBuilder command = new StringBuilder(); for (CharSequence str : vargs) { command.append(str).append(" "); } LOG.info("Completed setting up app master command " + command.toString()); List<String> commands = new ArrayList<String>(); commands.add(command.toString()); // Set up the container launch context for the application master ContainerLaunchContext amContainer = ContainerLaunchContext.newInstance(localResources, env, commands, null, null, null); // Set up resource type requirements // For now, both memory and vcores are supported, so we set memory and // vcores requirements Resource capability = Resource.newInstance(amMemory, amVCores); appContext.setResource(capability); // Service data is a binary blob that can be passed to the application // Not needed in this scenario // amContainer.setServiceData(serviceData); // Setup security tokens if (UserGroupInformation.isSecurityEnabled()) { // Note: Credentials class is marked as LimitedPrivate for HDFS and MapReduce Credentials credentials = new Credentials(); String tokenRenewer = conf.get(YarnConfiguration.RM_PRINCIPAL); if (tokenRenewer == null || tokenRenewer.length() == 0) { throw new IOException("Can't get Master Kerberos principal for the RM to use as renewer"); } // For now, only getting tokens for the default file-system. final Token<?> tokens[] = fs.addDelegationTokens(tokenRenewer, credentials); if (tokens != null) { for (Token<?> token : tokens) { LOG.info("Got dt for " + fs.getUri() + "; " + token); } } DataOutputBuffer dob = new DataOutputBuffer(); credentials.writeTokenStorageToStream(dob); ByteBuffer fsTokens = ByteBuffer.wrap(dob.getData(), 0, dob.getLength()); amContainer.setTokens(fsTokens); } appContext.setAMContainerSpec(amContainer); // Set the priority for the application master // TODO - what is the range for priority? how to decide? Priority pri = Priority.newInstance(amPriority); appContext.setPriority(pri); // Set the queue to which this application is to be submitted in the RM appContext.setQueue(amQueue); // Submit the application to the applications manager // SubmitApplicationResponse submitResp = applicationsManager.submitApplication(appRequest); // Ignore the response as either a valid response object is returned on success // or an exception thrown to denote some form of a failure LOG.info("Submitting application to ASM"); yarnClient.submitApplication(appContext); // TODO // Try submitting the same request again // app submission failure? // Monitor the application return monitorApplication(appId); }
From source file:org.deeplearning4j.iterativereduce.runtime.yarn.client.Kill.java
License:Apache License
public static void main(String[] args) throws Exception { if (args.length < 1) throw new IllegalArgumentException("Need at least one argument - appId to kill"); ApplicationId appId = ConverterUtils.toApplicationId(args[0]); LOG.info("Using Application ID: " + appId.toString()); ResourceManagerHandler rmh = new ResourceManagerHandler(new Configuration(), null); ClientRMProtocol crm = rmh.getClientResourceManager(); KillApplicationRequest kar = Records.newRecord(KillApplicationRequest.class); kar.setApplicationId(appId);//from ww w . ja v a2s.c o m LOG.info("Sending kill request"); crm.forceKillApplication(kar); }
From source file:org.hdl.caffe.yarn.app.Client.java
License:Apache License
/** * Main run function for the client//from ww w. j a va 2 s .c o m * * @return true if application completed successfully * @throws IOException * @throws YarnException */ public boolean run() throws IOException, YarnException { yarnClient.start(); YarnClusterMetrics clusterMetrics = yarnClient.getYarnClusterMetrics(); LOG.info("Got Cluster metric info from ASM" + ", numNodeManagers=" + clusterMetrics.getNumNodeManagers()); List<NodeReport> clusterNodeReports = yarnClient.getNodeReports(NodeState.RUNNING); LOG.info("Got Cluster node info from ASM"); for (NodeReport node : clusterNodeReports) { LOG.info("Got node report from ASM for" + ", nodeId=" + node.getNodeId() + ", nodeAddress=" + node.getHttpAddress() + ", nodeRackName=" + node.getRackName() + ", nodeNumContainers=" + node.getNumContainers()); } QueueInfo queueInfo = yarnClient.getQueueInfo(this.amQueue); LOG.info("Queue info" + ", queueName=" + queueInfo.getQueueName() + ", queueCurrentCapacity=" + queueInfo.getCurrentCapacity() + ", queueMaxCapacity=" + queueInfo.getMaximumCapacity() + ", queueApplicationCount=" + queueInfo.getApplications().size() + ", queueChildQueueCount=" + queueInfo.getChildQueues().size()); List<QueueUserACLInfo> listAclInfo = yarnClient.getQueueAclsInfo(); for (QueueUserACLInfo aclInfo : listAclInfo) { for (QueueACL userAcl : aclInfo.getUserAcls()) { LOG.info("User ACL Info for Queue" + ", queueName=" + aclInfo.getQueueName() + ", userAcl=" + userAcl.name()); } } // Get a new application id YarnClientApplication app = yarnClient.createApplication(); GetNewApplicationResponse appResponse = app.getNewApplicationResponse(); long maxMem = appResponse.getMaximumResourceCapability().getMemorySize(); LOG.info("Max mem capability of resources in this cluster " + maxMem); if (amMemory > maxMem) { LOG.info("AM memory specified above max threshold of cluster. Using max value." + ", specified=" + amMemory + ", max=" + maxMem); amMemory = maxMem; } int maxVCores = appResponse.getMaximumResourceCapability().getVirtualCores(); LOG.info("Max virtual cores capability of resources in this cluster " + maxVCores); if (amVCores > maxVCores) { LOG.info("AM virtual cores specified above max threshold of cluster. " + "Using max value." + ", specified=" + amVCores + ", max=" + maxVCores); amVCores = maxVCores; } ApplicationSubmissionContext appContext = app.getApplicationSubmissionContext(); ApplicationId appId = appContext.getApplicationId(); appContext.setApplicationName(appName); if (attemptFailuresValidityInterval >= 0) { appContext.setAttemptFailuresValidityInterval(attemptFailuresValidityInterval); } Set<String> tags = new HashSet<String>(); appContext.setApplicationTags(tags); Map<String, LocalResource> localResources = new HashMap<String, LocalResource>(); CaffeAmContainer CaffeAmContainer = new CaffeAmContainer(this); // Copy the application jar to the filesystem FileSystem fs = FileSystem.get(conf); String dstJarPath = copyLocalFileToDfs(fs, appId.toString(), appMasterJar, CaffeContainer.SERVER_JAR_PATH); CaffeAmContainer.addToLocalResources(fs, new Path(dstJarPath), CaffeAmContainer.APPMASTER_JAR_PATH, localResources); Map<String, String> env = CaffeAmContainer.setJavaEnv(conf); env.put("LD_LIBRARY_PATH", "/root/CaffeOnSpark/caffe-public/distribute/lib:/root/CaffeOnSpark/caffe-distri/distribute/lib"); if (null != nodeLabelExpression) { appContext.setNodeLabelExpression(nodeLabelExpression); } StringBuilder command = CaffeAmContainer.makeCommands(amMemory, appMasterMainClass, containerMemory, containerVirtualCores, processorNum, dstJarPath, containerRetryOptions, train, solver, feature, label, model, output, connection); LOG.info("AppMaster command: " + command.toString()); List<String> commands = new ArrayList<String>(); commands.add(command.toString()); ContainerLaunchContext amContainer = ContainerLaunchContext.newInstance(localResources, env, commands, null, null, null); Resource capability = Resource.newInstance(amMemory, amVCores); appContext.setResource(capability); // Service data is a binary blob that can be passed to the application // Not needed in this scenario // amContainer.setServiceData(serviceData); // Setup security tokens if (UserGroupInformation.isSecurityEnabled()) { // Note: Credentials class is marked as LimitedPrivate for HDFS and MapReduce Credentials credentials = new Credentials(); String tokenRenewer = YarnClientUtils.getRmPrincipal(conf); if (tokenRenewer == null || tokenRenewer.length() == 0) { throw new IOException("Can't get Master Kerberos principal for the RM to use as renewer"); } // For now, only getting tokens for the default file-system. final Token<?> tokens[] = fs.addDelegationTokens(tokenRenewer, credentials); if (tokens != null) { for (Token<?> token : tokens) { LOG.info("Got dt for " + fs.getUri() + "; " + token); } } DataOutputBuffer dob = new DataOutputBuffer(); credentials.writeTokenStorageToStream(dob); ByteBuffer fsTokens = ByteBuffer.wrap(dob.getData(), 0, dob.getLength()); amContainer.setTokens(fsTokens); } appContext.setAMContainerSpec(amContainer); // Set the priority for the application master Priority pri = Priority.newInstance(amPriority); appContext.setPriority(pri); appContext.setQueue(amQueue); LOG.info("Submitting application to ASM"); yarnClient.submitApplication(appContext); handleSignal(appId); return monitorApplication(appId); }
From source file:org.hdl.tensorflow.yarn.client.LaunchCluster.java
License:Apache License
public boolean run() throws Exception { YarnClientApplication app = createApplication(); ApplicationId appId = app.getNewApplicationResponse().getApplicationId(); // Copy the application jar to the filesystem FileSystem fs = FileSystem.get(conf); String appIdStr = appId.toString(); Path dstJarPath = Utils.copyLocalFileToDfs(fs, appIdStr, new Path(tfJar), Constants.TF_JAR_NAME); Path dstLibPath = Utils.copyLocalFileToDfs(fs, appIdStr, new Path(tfLib), Constants.TF_LIB_NAME); Map<String, Path> files = new HashMap<>(); files.put(Constants.TF_JAR_NAME, dstJarPath); Map<String, LocalResource> localResources = Utils.makeLocalResources(fs, files); Map<String, String> javaEnv = Utils.setJavaEnv(conf); String command = makeAppMasterCommand(dstLibPath.toString(), dstJarPath.toString()); LOG.info("Make ApplicationMaster command: " + command); ContainerLaunchContext launchContext = ContainerLaunchContext.newInstance(localResources, javaEnv, Lists.newArrayList(command), null, null, null); Resource resource = Resource.newInstance(amMemory, amVCores); submitApplication(app, appName, launchContext, resource, amQueue); return awaitApplication(appId); }
From source file:org.springframework.cloud.dataflow.module.deployer.yarn.YarnCloudAppServiceApplication.java
License:Apache License
public String submitApplication(String applicationName) { ApplicationId appId = null; appId = yarnClient.submitApplication( new ApplicationDescriptor(resolveApplicationdir(springYarnProperties, applicationName))); return appId != null ? appId.toString() : null; }
From source file:org.springframework.cloud.dataflow.module.deployer.yarn.YarnCloudAppServiceApplication.java
License:Apache License
private synchronized YarnContainerClusterOperations buildClusterOperations(RestTemplate restTemplate, YarnClient client, ApplicationId applicationId) { String key = applicationId.toString(); YarnContainerClusterOperations operations = operationsCache.get(key); if (operations == null) { ApplicationReport report = client.getApplicationReport(applicationId); String trackingUrl = report.getOriginalTrackingUrl(); operations = new YarnContainerClusterTemplate( trackingUrl + "/" + YarnContainerClusterEndpoint.ENDPOINT_ID, restTemplate); operationsCache.put(key, operations); }//from ww w. ja va2 s.c o m return operations; }
From source file:org.springframework.cloud.deployer.spi.yarn.YarnCloudAppServiceApplication.java
License:Apache License
public void destroyCluster(ApplicationId applicationId, String clusterId) { Collection<CloudAppInstanceInfo> submittedApplications = getSubmittedApplications(applicationId.toString()); if (submittedApplications.isEmpty()) { return;// ww w. ja v a2 s .com } if (submittedApplications.iterator().next().getState() != "RUNNING") { return; } YarnContainerClusterOperations operations = buildClusterOperations(restTemplate, yarnClient, applicationId); operations.clusterDestroy(clusterId); }
From source file:org.springframework.cloud.deployer.spi.yarn.YarnCloudAppServiceApplication.java
License:Apache License
public void stopCluster(ApplicationId applicationId, String clusterId) { Collection<CloudAppInstanceInfo> submittedApplications = getSubmittedApplications(applicationId.toString()); if (submittedApplications.isEmpty()) { return;//from w w w . j av a2 s. co m } if (submittedApplications.iterator().next().getState() != "RUNNING") { return; } YarnContainerClusterOperations operations = buildClusterOperations(restTemplate, yarnClient, applicationId); ContainerClusterModifyRequest request = new ContainerClusterModifyRequest(); request.setAction("stop"); operations.clusterStop(clusterId, request); }
From source file:org.springframework.yarn.boot.app.YarnKillApplicationTests.java
License:Apache License
@Test public void testKill() throws Exception { String ID = "testKill"; // install/*from w w w.ja v a2 s.com*/ YarnPushApplication pushApp = new YarnPushApplication(); pushApp.applicationVersion(ID); pushApp.applicationBaseDir(BASE); Properties appProperties = new Properties(); SpringYarnBootUtils.mergeHadoopPropertyIntoMap(configuration, "fs.defaultFS", "spring.hadoop.fsUri", appProperties); SpringYarnBootUtils.mergeHadoopPropertyIntoMap(configuration, "yarn.resourcemanager.address", "spring.hadoop.resourceManagerAddress", appProperties); SpringYarnBootUtils.mergeHadoopPropertyIntoMap(configuration, "yarn.resourcemanager.scheduler.address", "spring.hadoop.resourceManagerSchedulerAddress", appProperties); pushApp.configFile("application.properties", appProperties); pushApp.appProperties(appProperties); String[] installArgs = new String[] { "--spring.yarn.appmaster.appmasterClass=org.springframework.yarn.boot.app.StartSleepAppmaster", "--spring.yarn.client.clientClass=org.springframework.yarn.client.DefaultApplicationYarnClient", "--spring.yarn.client.files[0]=" + APPMASTER_ARCHIVE_PATH }; pushApp.run(installArgs); // submit YarnSubmitApplication submitApp = new YarnSubmitApplication(); submitApp.applicationVersion(ID); submitApp.applicationBaseDir(BASE); submitApp.appProperties(appProperties); String[] submitArgs = new String[] { "--spring.yarn.client.clientClass=org.springframework.yarn.client.DefaultApplicationYarnClient", "--spring.yarn.client.launchcontext.archiveFile=" + APPMASTER_ARCHIVE }; ApplicationId applicationId = submitApp.run(submitArgs); YarnApplicationState state = waitState(applicationId, 60, TimeUnit.SECONDS, YarnApplicationState.FINISHED, YarnApplicationState.FAILED, YarnApplicationState.RUNNING); assertThat(state, is(YarnApplicationState.RUNNING)); // kill YarnKillApplication killApp = new YarnKillApplication(); killApp.appProperties(appProperties); String[] killArgs = new String[] { "--spring.yarn.internal.YarnKillApplication.applicationId=" + applicationId.toString() }; String info = killApp.run(killArgs); assertThat(info, containsString("Kill request for")); }