Java Code Examples for org.apache.hadoop.mapred.YARNRunner

The following examples show how to use org.apache.hadoop.mapred.YARNRunner. These examples are extracted from open source projects. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may check out the related API usage on the sidebar.
Example 1
Source Project: sequenceiq-samples   Source File: MRJobStatus.java    License: Apache License 2.0 6 votes vote down vote up
public JobStatus printJobStatus(YARNRunner yarnRunner, JobID jobID) throws IOException, InterruptedException {
	JobStatus jobStatus;
	jobStatus = yarnRunner.getJobStatus(jobID);
	
	// print overall job M/R progresses
	LOGGER.info("\nJob " + jobStatus.getJobName() + "in queue (" + jobStatus.getQueue() + ")" + " progress M/R: " + jobStatus.getMapProgress() + "/" + jobStatus.getReduceProgress());
	LOGGER.info("Tracking URL : " + jobStatus.getTrackingUrl());
	LOGGER.info("Reserved memory : " + jobStatus.getReservedMem() + ", used memory : "+ jobStatus.getUsedMem() + " and used slots : "+ jobStatus.getNumUsedSlots());
	
	// list map & reduce tasks statuses and progress		
	TaskReport[] reports = yarnRunner.getTaskReports(jobID, TaskType.MAP);
	for (int i = 0; i < reports.length; i++) {
		LOGGER.info("MAP: Status " + reports[i].getCurrentStatus() + " with task ID " + reports[i].getTaskID() + ", and progress " + reports[i].getProgress()); 
	}
	reports = yarnRunner.getTaskReports(jobID, TaskType.REDUCE);
	for (int i = 0; i < reports.length; i++) {
		LOGGER.info("REDUCE: " + reports[i].getCurrentStatus() + " with task ID " + reports[i].getTaskID() + ", and progress " + reports[i].getProgress()); 
	}
	return jobStatus;
}
 
Example 2
Source Project: hadoop   Source File: TestClientProtocolProviderImpls.java    License: Apache License 2.0 5 votes vote down vote up
@Test
public void testClusterWithYarnClientProvider() throws Exception {
  Configuration conf = new Configuration();
  conf.set(MRConfig.FRAMEWORK_NAME, "yarn");
  Cluster cluster = new Cluster(conf);
  assertTrue(cluster.getClient() instanceof YARNRunner);
  cluster.close();
}
 
Example 3
Source Project: big-c   Source File: TestClientProtocolProviderImpls.java    License: Apache License 2.0 5 votes vote down vote up
@Test
public void testClusterWithYarnClientProvider() throws Exception {
  Configuration conf = new Configuration();
  conf.set(MRConfig.FRAMEWORK_NAME, "yarn");
  Cluster cluster = new Cluster(conf);
  assertTrue(cluster.getClient() instanceof YARNRunner);
  cluster.close();
}
 
Example 4
Source Project: sequenceiq-samples   Source File: JobClient.java    License: Apache License 2.0 4 votes vote down vote up
public static void main(String[] args) {
	try {
		JobClient jobClient = new JobClient();
		QueueOrchestrator qo = new QueueOrchestrator();
		HttpClient client = new HttpClient();
		ObjectMapper mapper = new ObjectMapper();
		String schedulerURL = "http://sandbox.hortonworks.com:8088/ws/v1/cluster/scheduler";
		
		LOGGER.info("Starting YARN Capacity Queue Test");
		LOGGER.info("yarn.scheduler.capacity.root.queues = default,highPriority,lowPriority");
		LOGGER.info("yarn.scheduler.capacity.root.highPriority.capacity = 70");
		LOGGER.info("yarn.scheduler.capacity.root.lowPriority.capacity = 20");
		LOGGER.info("yarn.scheduler.capacity.root.highPriority.default = 10");
		LOGGER.info("Scheduler URL: ", schedulerURL);
		MRJobStatus mrJobStatus = new MRJobStatus();
		QueueInformation queueInformation = new QueueInformation();
		
		//Create low priority setup - low priority root queue (capacity-scheduler.xml)
		Path tempDirLow = jobClient.createTempDir("lowPriority");
		//Create high priority setup - high priority root queue (capacity-scheduler.xml)
		Path tempDirHigh = jobClient.createTempDir("highPriority");
		
		String lowPriorityQueue = new String("lowPriority");
		String highPriorityQueue = new String("highPriority");

		// create YarnRunner to use for job status listing
		Configuration lowPriorityConf = qo.getConfiguration(lowPriorityQueue);
		// doesn't matter the configuration as we use YarnRunner only to retrieve job status info 
        YARNRunner yarnRunner = new YARNRunner(lowPriorityConf);
		
     	Configuration highPriorityConf = qo.getConfiguration(lowPriorityQueue);

		
		JobID lowPriorityJobID = qo.submitJobsIntoQueues(lowPriorityQueue, tempDirLow);
		JobID highPriorityJobID = qo.submitJobsIntoQueues(highPriorityQueue, tempDirHigh);
		
		
		// list low priority job status
		JobStatus lowPriorityJobStatus = mrJobStatus.printJobStatus(yarnRunner, lowPriorityJobID);
					
		// list high priority job status
		JobStatus highPriorityJobStatus = mrJobStatus.printJobStatus(yarnRunner, highPriorityJobID);
				
		// list job statuses & queue information until job(s) are completed
		for(;!lowPriorityJobStatus.isJobComplete();) {
			highPriorityJobStatus = mrJobStatus.printJobStatus(yarnRunner, highPriorityJobID);								
			lowPriorityJobStatus = mrJobStatus.printJobStatus(yarnRunner, lowPriorityJobID);				
			
			queueInformation.printQueueInfo(client, mapper, schedulerURL);
			Thread.sleep(1000);
		}
	
	} catch (Exception e) {
		LOGGER.error("Exception occured", e);
	}
}