use of org.apache.hadoop.yarn.api.records.Priority in project hadoop by apache.
the class RegularContainerAllocator method assignContainersOnNode.
private ContainerAllocation assignContainersOnNode(Resource clusterResource, FiCaSchedulerNode node, SchedulerRequestKey schedulerKey, RMContainer reservedContainer, SchedulingMode schedulingMode, ResourceLimits currentResoureLimits) {
Priority priority = schedulerKey.getPriority();
ContainerAllocation allocation;
NodeType requestLocalityType = null;
// Data-local
PendingAsk nodeLocalAsk = application.getPendingAsk(schedulerKey, node.getNodeName());
if (nodeLocalAsk.getCount() > 0) {
requestLocalityType = NodeType.NODE_LOCAL;
allocation = assignNodeLocalContainers(clusterResource, nodeLocalAsk, node, schedulerKey, reservedContainer, schedulingMode, currentResoureLimits);
if (Resources.greaterThan(rc, clusterResource, allocation.getResourceToBeAllocated(), Resources.none())) {
allocation.requestLocalityType = requestLocalityType;
return allocation;
}
}
// Rack-local
PendingAsk rackLocalAsk = application.getPendingAsk(schedulerKey, node.getRackName());
if (rackLocalAsk.getCount() > 0) {
if (!appInfo.canDelayTo(schedulerKey, node.getRackName())) {
ActivitiesLogger.APP.recordSkippedAppActivityWithoutAllocation(activitiesManager, node, application, priority, ActivityDiagnosticConstant.SKIP_PRIORITY_BECAUSE_OF_RELAX_LOCALITY);
return ContainerAllocation.PRIORITY_SKIPPED;
}
requestLocalityType = requestLocalityType == null ? NodeType.RACK_LOCAL : requestLocalityType;
allocation = assignRackLocalContainers(clusterResource, rackLocalAsk, node, schedulerKey, reservedContainer, schedulingMode, currentResoureLimits);
if (Resources.greaterThan(rc, clusterResource, allocation.getResourceToBeAllocated(), Resources.none())) {
allocation.requestLocalityType = requestLocalityType;
return allocation;
}
}
// Off-switch
PendingAsk offSwitchAsk = application.getPendingAsk(schedulerKey, ResourceRequest.ANY);
if (offSwitchAsk.getCount() > 0) {
if (!appInfo.canDelayTo(schedulerKey, ResourceRequest.ANY)) {
ActivitiesLogger.APP.recordSkippedAppActivityWithoutAllocation(activitiesManager, node, application, priority, ActivityDiagnosticConstant.SKIP_PRIORITY_BECAUSE_OF_RELAX_LOCALITY);
return ContainerAllocation.PRIORITY_SKIPPED;
}
requestLocalityType = requestLocalityType == null ? NodeType.OFF_SWITCH : requestLocalityType;
allocation = assignOffSwitchContainers(clusterResource, offSwitchAsk, node, schedulerKey, reservedContainer, schedulingMode, currentResoureLimits);
// off-switch request now, we will skip this app w.r.t priorities
if (allocation.state == AllocationState.LOCALITY_SKIPPED) {
allocation.state = AllocationState.APP_SKIPPED;
}
allocation.requestLocalityType = requestLocalityType;
return allocation;
}
ActivitiesLogger.APP.recordSkippedAppActivityWithoutAllocation(activitiesManager, node, application, priority, ActivityDiagnosticConstant.PRIORITY_SKIPPED);
return ContainerAllocation.PRIORITY_SKIPPED;
}
use of org.apache.hadoop.yarn.api.records.Priority in project hadoop by apache.
the class CapacityScheduler method checkAndGetApplicationPriority.
@Override
public Priority checkAndGetApplicationPriority(Priority priorityRequestedByApp, UserGroupInformation user, String queueName, ApplicationId applicationId) throws YarnException {
try {
readLock.lock();
Priority appPriority = priorityRequestedByApp;
// Verify the scenario where priority is null from submissionContext.
if (null == appPriority) {
// Verify whether submitted user has any default priority set. If so,
// user's default priority will get precedence over queue default.
// for updateApplicationPriority call flow, this check is done in
// CientRMService itself.
appPriority = this.appPriorityACLManager.getDefaultPriority(queueName, user);
// use default priority. Do it only if user doesn't have any default.
if (null == appPriority) {
appPriority = this.queueManager.getDefaultPriorityForQueue(queueName);
}
LOG.info("Application '" + applicationId + "' is submitted without priority " + "hence considering default queue/cluster priority: " + appPriority.getPriority());
}
// in the cluster. If it is out of found, defining a max cap.
if (appPriority.getPriority() > getMaxClusterLevelAppPriority().getPriority()) {
appPriority = Priority.newInstance(getMaxClusterLevelAppPriority().getPriority());
}
// Lets check for ACLs here.
if (!appPriorityACLManager.checkAccess(user, queueName, appPriority)) {
throw new YarnException(new AccessControlException("User " + user + " does not have permission to submit/update " + applicationId + " for " + appPriority));
}
LOG.info("Priority '" + appPriority.getPriority() + "' is acceptable in queue : " + queueName + " for application: " + applicationId);
return appPriority;
} finally {
readLock.unlock();
}
}
use of org.apache.hadoop.yarn.api.records.Priority in project hadoop by apache.
the class CapacitySchedulerConfiguration method getQueuePriority.
@Private
public Priority getQueuePriority(String queue) {
String queuePolicyPrefix = getQueuePrefix(queue);
Priority pri = Priority.newInstance(getInt(queuePolicyPrefix + "priority", 0));
return pri;
}
use of org.apache.hadoop.yarn.api.records.Priority in project hadoop by apache.
the class FSQueue method getPriority.
@Override
public Priority getPriority() {
Priority p = recordFactory.newRecordInstance(Priority.class);
p.setPriority(1);
return p;
}
use of org.apache.hadoop.yarn.api.records.Priority in project hadoop by apache.
the class Client method run.
/**
* Main run function for the client
* @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
long maxMem = appResponse.getMaximumResourceCapability().getMemorySize();
LOG.info("Max mem capability 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 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;
}
// 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<String> tags = new HashSet<String>();
if (flowName != null) {
tags.add(TimelineUtils.generateFlowNameTag(flowName));
}
if (flowVersion != null) {
tags.add(TimelineUtils.generateFlowVersionTag(flowVersion));
}
if (flowRunId != 0) {
tags.add(TimelineUtils.generateFlowRunIdTag(flowRunId));
}
appContext.setApplicationTags(tags);
// 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.addAll(containerRetryOptions);
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);
// 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
// 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);
// Monitor the application
return monitorApplication(appId);
}
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