Java Job.addFileToClassPath方法代碼示例

import org.apache.hadoop.mapreduce.Job; //導入方法依賴的package包/類
/**
 * Launch tests 
 * @param conf Configuration of the mapreduce job.
 * @param inDir input path
 * @param outDir output path
 * @param input Input text
 * @throws IOException
 */
public void launchTest(JobConf conf,
                       Path inDir,
                       Path outDir,
                       String input)
throws IOException, InterruptedException, ClassNotFoundException {

  FileSystem outFs = outDir.getFileSystem(conf);
  
  // Launch job with default option for temp dir. 
  // i.e. temp dir is ./tmp 
  Job job = Job.getInstance(conf);
  job.addFileToClassPath(APP_JAR);
  job.setJarByClass(TestMiniMRChildTask.class);
  job.setMaxMapAttempts(1); // speed up failures
  job.waitForCompletion(true);
  boolean succeeded = job.waitForCompletion(true);
  assertTrue(succeeded);
  outFs.delete(outDir, true);
}
 

import org.apache.hadoop.mapreduce.Job; //導入方法依賴的package包/類
/**
 * To ensure nothing broken after we removed normalization 
 * from the MRAM side
 * @throws Exception
 */
@Test
public void testJobWithNonNormalizedCapabilities() throws Exception {
  if (!(new File(MiniMRYarnCluster.APPJAR)).exists()) {
    LOG.info("MRAppJar " + MiniMRYarnCluster.APPJAR
              + " not found. Not running test.");
    return;
  }

  JobConf jobConf = new JobConf(mrCluster.getConfig());
  jobConf.setInt("mapreduce.map.memory.mb", 700);
  jobConf.setInt("mapred.reduce.memory.mb", 1500);

  SleepJob sleepJob = new SleepJob();
  sleepJob.setConf(jobConf);
  Job job = sleepJob.createJob(3, 2, 1000, 1, 500, 1);
  job.setJarByClass(SleepJob.class);
  job.addFileToClassPath(APP_JAR); // The AppMaster jar itself.
  job.submit();
  boolean completed = job.waitForCompletion(true);
  Assert.assertTrue("Job should be completed", completed);
  Assert.assertEquals("Job should be finished successfully", 
                  JobStatus.State.SUCCEEDED, job.getJobState());
}
 

import org.apache.hadoop.mapreduce.Job; //導入方法依賴的package包/類
protected Job runFailingMapperJob()
throws IOException, InterruptedException, ClassNotFoundException {
  Configuration myConf = new Configuration(mrCluster.getConfig());
  myConf.setInt(MRJobConfig.NUM_MAPS, 1);
  myConf.setInt(MRJobConfig.MAP_MAX_ATTEMPTS, 2); //reduce the number of attempts

  Job job = Job.getInstance(myConf);

  job.setJarByClass(FailingMapper.class);
  job.setJobName("failmapper");
  job.setOutputKeyClass(Text.class);
  job.setOutputValueClass(Text.class);
  job.setInputFormatClass(RandomInputFormat.class);
  job.setOutputFormatClass(TextOutputFormat.class);
  job.setMapperClass(FailingMapper.class);
  job.setNumReduceTasks(0);
  
  FileOutputFormat.setOutputPath(job, new Path(OUTPUT_ROOT_DIR,
    "failmapper-output"));
  job.addFileToClassPath(APP_JAR); // The AppMaster jar itself.
  job.submit();
  String trackingUrl = job.getTrackingURL();
  String jobId = job.getJobID().toString();
  boolean succeeded = job.waitForCompletion(true);
  Assert.assertFalse(succeeded);
  Assert.assertTrue("Tracking URL was " + trackingUrl +
                    " but didn't Match Job ID " + jobId ,
        trackingUrl.endsWith(jobId.substring(jobId.lastIndexOf("_")) + "/"));
  return job;
}
 

import org.apache.hadoop.mapreduce.Job; //導入方法依賴的package包/類
private Job runSpecTest(boolean mapspec, boolean redspec)
    throws IOException, ClassNotFoundException, InterruptedException {

  Path first = createTempFile("specexec_map_input1", "a\nz");
  Path secnd = createTempFile("specexec_map_input2", "a\nz");

  Configuration conf = mrCluster.getConfig();
  conf.setBoolean(MRJobConfig.MAP_SPECULATIVE,mapspec);
  conf.setBoolean(MRJobConfig.REDUCE_SPECULATIVE,redspec);
  conf.setClass(MRJobConfig.MR_AM_TASK_ESTIMATOR,
          TestSpecEstimator.class,
          TaskRuntimeEstimator.class);

  Job job = Job.getInstance(conf);
  job.setJarByClass(TestSpeculativeExecution.class);
  job.setMapperClass(SpeculativeMapper.class);
  job.setReducerClass(SpeculativeReducer.class);
  job.setOutputKeyClass(Text.class);
  job.setOutputValueClass(IntWritable.class);
  job.setNumReduceTasks(2);
  FileInputFormat.setInputPaths(job, first);
  FileInputFormat.addInputPath(job, secnd);
  FileOutputFormat.setOutputPath(job, TEST_OUT_DIR);

  // Delete output directory if it exists.
  try {
    localFs.delete(TEST_OUT_DIR,true);
  } catch (IOException e) {
    // ignore
  }

  // Creates the Job Configuration
  job.addFileToClassPath(APP_JAR); // The AppMaster jar itself.
  job.setMaxMapAttempts(2);

  job.submit();

  return job;
}
 

import org.apache.hadoop.mapreduce.Job; //導入方法依賴的package包/類
private void testWithConf(Configuration conf) throws IOException,
    InterruptedException, ClassNotFoundException, URISyntaxException {
  // Create a temporary file of length 1.
  Path first = createTempFile("distributed.first", "x");
  // Create two jars with a single file inside them.
  Path second =
      makeJar(new Path(TEST_ROOT_DIR, "distributed.second.jar"), 2);
  Path third =
      makeJar(new Path(TEST_ROOT_DIR, "distributed.third.jar"), 3);
  Path fourth =
      makeJar(new Path(TEST_ROOT_DIR, "distributed.fourth.jar"), 4);


  Job job = Job.getInstance(conf);
  job.setMapperClass(DistributedCacheCheckerMapper.class);
  job.setReducerClass(DistributedCacheCheckerReducer.class);
  job.setOutputFormatClass(NullOutputFormat.class);
  FileInputFormat.setInputPaths(job, first);
  // Creates the Job Configuration
  job.addCacheFile(
    new URI(first.toUri().toString() + "#distributed.first.symlink"));
  job.addFileToClassPath(second);
  job.addArchiveToClassPath(third);
  job.addCacheArchive(fourth.toUri());
  job.setMaxMapAttempts(1); // speed up failures

  job.submit();
  assertTrue(job.waitForCompletion(false));
}
 

import org.apache.hadoop.mapreduce.Job; //導入方法依賴的package包/類
void runTestTaskEnv(JobConf conf, Path inDir, Path outDir, boolean oldConfigs) 
throws IOException, InterruptedException, ClassNotFoundException {
  String input = "The input";
  configure(conf, inDir, outDir, input, 
            EnvCheckMapper.class, EnvCheckReducer.class);
  // test 
  //  - new SET of new var (MY_PATH)
  //  - set of old var (LANG)
  //  - append to an old var from modified env (LD_LIBRARY_PATH)
  //  - append to an old var from tt's env (PATH)
  //  - append to a new var (NEW_PATH)
  String mapTaskEnvKey = JobConf.MAPRED_MAP_TASK_ENV;
  String reduceTaskEnvKey = JobConf.MAPRED_MAP_TASK_ENV;
  String mapTaskJavaOptsKey = JobConf.MAPRED_MAP_TASK_JAVA_OPTS;
  String reduceTaskJavaOptsKey = JobConf.MAPRED_REDUCE_TASK_JAVA_OPTS;
  String mapTaskJavaOpts = MAP_OPTS_VAL;
  String reduceTaskJavaOpts = REDUCE_OPTS_VAL;
  conf.setBoolean(OLD_CONFIGS, oldConfigs);
  if (oldConfigs) {
    mapTaskEnvKey = reduceTaskEnvKey = JobConf.MAPRED_TASK_ENV;
    mapTaskJavaOptsKey = reduceTaskJavaOptsKey = JobConf.MAPRED_TASK_JAVA_OPTS;
    mapTaskJavaOpts = reduceTaskJavaOpts = TASK_OPTS_VAL;
  }
  conf.set(
      mapTaskEnvKey,
      Shell.WINDOWS ? "MY_PATH=/tmp,LANG=en_us_8859_1,LD_LIBRARY_PATH=%LD_LIBRARY_PATH%;/tmp,"
          + "PATH=%PATH%;/tmp,NEW_PATH=%NEW_PATH%;/tmp"
          : "MY_PATH=/tmp,LANG=en_us_8859_1,LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/tmp,"
              + "PATH=$PATH:/tmp,NEW_PATH=$NEW_PATH:/tmp");
  conf.set(
      reduceTaskEnvKey,
      Shell.WINDOWS ? "MY_PATH=/tmp,LANG=en_us_8859_1,LD_LIBRARY_PATH=%LD_LIBRARY_PATH%;/tmp,"
          + "PATH=%PATH%;/tmp,NEW_PATH=%NEW_PATH%;/tmp"
          : "MY_PATH=/tmp,LANG=en_us_8859_1,LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/tmp,"
              + "PATH=$PATH:/tmp,NEW_PATH=$NEW_PATH:/tmp");
  conf.set("path", System.getenv("PATH"));
  conf.set(mapTaskJavaOptsKey, mapTaskJavaOpts);
  conf.set(reduceTaskJavaOptsKey, reduceTaskJavaOpts);

  Job job = Job.getInstance(conf);
  job.addFileToClassPath(APP_JAR);
  job.setJarByClass(TestMiniMRChildTask.class);
  job.setMaxMapAttempts(1); // speed up failures
  job.waitForCompletion(true);
  boolean succeeded = job.waitForCompletion(true);
  assertTrue("The environment checker job failed.", succeeded);
}
 

import org.apache.hadoop.mapreduce.Job; //導入方法依賴的package包/類
private void testSleepJobInternal(boolean useRemoteJar) throws Exception {
  LOG.info("\n\n\nStarting testSleepJob: useRemoteJar=" + useRemoteJar);

  if (!(new File(MiniMRYarnCluster.APPJAR)).exists()) {
    LOG.info("MRAppJar " + MiniMRYarnCluster.APPJAR
             + " not found. Not running test.");
    return;
  }

  Configuration sleepConf = new Configuration(mrCluster.getConfig());
  // set master address to local to test that local mode applied iff framework == local
  sleepConf.set(MRConfig.MASTER_ADDRESS, "local");	
  
  SleepJob sleepJob = new SleepJob();
  sleepJob.setConf(sleepConf);
 
  // job with 3 maps (10s) and numReduces reduces (5s), 1 "record" each:
  Job job = sleepJob.createJob(3, numSleepReducers, 10000, 1, 5000, 1);

  job.addFileToClassPath(APP_JAR); // The AppMaster jar itself.
  if (useRemoteJar) {
    final Path localJar = new Path(
        ClassUtil.findContainingJar(SleepJob.class));
    ConfigUtil.addLink(job.getConfiguration(), "/jobjars",
        localFs.makeQualified(localJar.getParent()).toUri());
    job.setJar("viewfs:///jobjars/" + localJar.getName());
  } else {
    job.setJarByClass(SleepJob.class);
  }
  job.setMaxMapAttempts(1); // speed up failures
  job.submit();
  String trackingUrl = job.getTrackingURL();
  String jobId = job.getJobID().toString();
  boolean succeeded = job.waitForCompletion(true);
  Assert.assertTrue(succeeded);
  Assert.assertEquals(JobStatus.State.SUCCEEDED, job.getJobState());
  Assert.assertTrue("Tracking URL was " + trackingUrl +
                    " but didn't Match Job ID " + jobId ,
        trackingUrl.endsWith(jobId.substring(jobId.lastIndexOf("_")) + "/"));
  verifySleepJobCounters(job);
  verifyTaskProgress(job);
  
  // TODO later:  add explicit "isUber()" checks of some sort (extend
  // JobStatus?)--compare against MRJobConfig.JOB_UBERTASK_ENABLE value
}
 

import org.apache.hadoop.mapreduce.Job; //導入方法依賴的package包/類
private void testJobClassloader(boolean useCustomClasses) throws IOException,
    InterruptedException, ClassNotFoundException {
  LOG.info("\n\n\nStarting testJobClassloader()"
      + " useCustomClasses=" + useCustomClasses);

  if (!(new File(MiniMRYarnCluster.APPJAR)).exists()) {
    LOG.info("MRAppJar " + MiniMRYarnCluster.APPJAR
             + " not found. Not running test.");
    return;
  }
  final Configuration sleepConf = new Configuration(mrCluster.getConfig());
  // set master address to local to test that local mode applied iff framework == local
  sleepConf.set(MRConfig.MASTER_ADDRESS, "local");
  sleepConf.setBoolean(MRJobConfig.MAPREDUCE_JOB_CLASSLOADER, true);
  if (useCustomClasses) {
    // to test AM loading user classes such as output format class, we want
    // to blacklist them from the system classes (they need to be prepended
    // as the first match wins)
    String systemClasses = ApplicationClassLoader.SYSTEM_CLASSES_DEFAULT;
    // exclude the custom classes from system classes
    systemClasses = "-" + CustomOutputFormat.class.getName() + ",-" +
        CustomSpeculator.class.getName() + "," +
        systemClasses;
    sleepConf.set(MRJobConfig.MAPREDUCE_JOB_CLASSLOADER_SYSTEM_CLASSES,
        systemClasses);
  }
  sleepConf.set(MRJobConfig.IO_SORT_MB, TEST_IO_SORT_MB);
  sleepConf.set(MRJobConfig.MR_AM_LOG_LEVEL, Level.ALL.toString());
  sleepConf.set(MRJobConfig.MAP_LOG_LEVEL, Level.ALL.toString());
  sleepConf.set(MRJobConfig.REDUCE_LOG_LEVEL, Level.ALL.toString());
  sleepConf.set(MRJobConfig.MAP_JAVA_OPTS, "-verbose:class");
  final SleepJob sleepJob = new SleepJob();
  sleepJob.setConf(sleepConf);
  final Job job = sleepJob.createJob(1, 1, 10, 1, 10, 1);
  job.setMapperClass(ConfVerificationMapper.class);
  job.addFileToClassPath(APP_JAR); // The AppMaster jar itself.
  job.setJarByClass(SleepJob.class);
  job.setMaxMapAttempts(1); // speed up failures
  if (useCustomClasses) {
    // set custom output format class and speculator class
    job.setOutputFormatClass(CustomOutputFormat.class);
    final Configuration jobConf = job.getConfiguration();
    jobConf.setClass(MRJobConfig.MR_AM_JOB_SPECULATOR, CustomSpeculator.class,
        Speculator.class);
    // speculation needs to be enabled for the speculator to be loaded
    jobConf.setBoolean(MRJobConfig.MAP_SPECULATIVE, true);
  }
  job.submit();
  boolean succeeded = job.waitForCompletion(true);
  Assert.assertTrue("Job status: " + job.getStatus().getFailureInfo(),
      succeeded);
}
 

import org.apache.hadoop.mapreduce.Job; //導入方法依賴的package包/類
@Test (timeout = 60000)
public void testRandomWriter() throws IOException, InterruptedException,
    ClassNotFoundException {
  
  LOG.info("\n\n\nStarting testRandomWriter().");
  if (!(new File(MiniMRYarnCluster.APPJAR)).exists()) {
    LOG.info("MRAppJar " + MiniMRYarnCluster.APPJAR
             + " not found. Not running test.");
    return;
  }

  RandomTextWriterJob randomWriterJob = new RandomTextWriterJob();
  mrCluster.getConfig().set(RandomTextWriterJob.TOTAL_BYTES, "3072");
  mrCluster.getConfig().set(RandomTextWriterJob.BYTES_PER_MAP, "1024");
  Job job = randomWriterJob.createJob(mrCluster.getConfig());
  Path outputDir = new Path(OUTPUT_ROOT_DIR, "random-output");
  FileOutputFormat.setOutputPath(job, outputDir);
  job.setSpeculativeExecution(false);
  job.addFileToClassPath(APP_JAR); // The AppMaster jar itself.
  job.setJarByClass(RandomTextWriterJob.class);
  job.setMaxMapAttempts(1); // speed up failures
  job.submit();
  String trackingUrl = job.getTrackingURL();
  String jobId = job.getJobID().toString();
  boolean succeeded = job.waitForCompletion(true);
  Assert.assertTrue(succeeded);
  Assert.assertEquals(JobStatus.State.SUCCEEDED, job.getJobState());
  Assert.assertTrue("Tracking URL was " + trackingUrl +
                    " but didn't Match Job ID " + jobId ,
        trackingUrl.endsWith(jobId.substring(jobId.lastIndexOf("_")) + "/"));
  
  // Make sure there are three files in the output-dir
  
  RemoteIterator<FileStatus> iterator =
      FileContext.getFileContext(mrCluster.getConfig()).listStatus(
          outputDir);
  int count = 0;
  while (iterator.hasNext()) {
    FileStatus file = iterator.next();
    if (!file.getPath().getName()
        .equals(FileOutputCommitter.SUCCEEDED_FILE_NAME)) {
      count++;
    }
  }
  Assert.assertEquals("Number of part files is wrong!", 3, count);
  verifyRandomWriterCounters(job);

  // TODO later:  add explicit "isUber()" checks of some sort
}
 

import org.apache.hadoop.mapreduce.Job; //導入方法依賴的package包/類
public void _testDistributedCache(String jobJarPath) throws Exception {
  if (!(new File(MiniMRYarnCluster.APPJAR)).exists()) {
    LOG.info("MRAppJar " + MiniMRYarnCluster.APPJAR
         + " not found. Not running test.");
    return;
  }

  // Create a temporary file of length 1.
  Path first = createTempFile("distributed.first", "x");
  // Create two jars with a single file inside them.
  Path second =
      makeJar(new Path(TEST_ROOT_DIR, "distributed.second.jar"), 2);
  Path third =
      makeJar(new Path(TEST_ROOT_DIR, "distributed.third.jar"), 3);
  Path fourth =
      makeJar(new Path(TEST_ROOT_DIR, "distributed.fourth.jar"), 4);

  Job job = Job.getInstance(mrCluster.getConfig());
  
  // Set the job jar to a new "dummy" jar so we can check that its extracted 
  // properly
  job.setJar(jobJarPath);
  // Because the job jar is a "dummy" jar, we need to include the jar with
  // DistributedCacheChecker or it won't be able to find it
  Path distributedCacheCheckerJar = new Path(
          JarFinder.getJar(DistributedCacheChecker.class));
  job.addFileToClassPath(distributedCacheCheckerJar.makeQualified(
          localFs.getUri(), distributedCacheCheckerJar.getParent()));
  
  job.setMapperClass(DistributedCacheChecker.class);
  job.setOutputFormatClass(NullOutputFormat.class);

  FileInputFormat.setInputPaths(job, first);
  // Creates the Job Configuration
  job.addCacheFile(
      new URI(first.toUri().toString() + "#distributed.first.symlink"));
  job.addFileToClassPath(second);
  // The AppMaster jar itself
  job.addFileToClassPath(
          APP_JAR.makeQualified(localFs.getUri(), APP_JAR.getParent())); 
  job.addArchiveToClassPath(third);
  job.addCacheArchive(fourth.toUri());
  job.setMaxMapAttempts(1); // speed up failures

  job.submit();
  String trackingUrl = job.getTrackingURL();
  String jobId = job.getJobID().toString();
  Assert.assertTrue(job.waitForCompletion(false));
  Assert.assertTrue("Tracking URL was " + trackingUrl +
                    " but didn't Match Job ID " + jobId ,
        trackingUrl.endsWith(jobId.substring(jobId.lastIndexOf("_")) + "/"));
}
 

import org.apache.hadoop.mapreduce.Job; //導入方法依賴的package包/類
@Test (timeout = 90000)
public void testJobHistoryData() throws IOException, InterruptedException,
    AvroRemoteException, ClassNotFoundException {
  if (!(new File(MiniMRYarnCluster.APPJAR)).exists()) {
    LOG.info("MRAppJar " + MiniMRYarnCluster.APPJAR
        + " not found. Not running test.");
    return;
  }


  
  SleepJob sleepJob = new SleepJob();
  sleepJob.setConf(mrCluster.getConfig());
  // Job with 3 maps and 2 reduces
  Job job = sleepJob.createJob(3, 2, 1000, 1, 500, 1);
  job.setJarByClass(SleepJob.class);
  job.addFileToClassPath(APP_JAR); // The AppMaster jar itself.
  job.waitForCompletion(true);
  Counters counterMR = job.getCounters();
  JobId jobId = TypeConverter.toYarn(job.getJobID());
  ApplicationId appID = jobId.getAppId();
  int pollElapsed = 0;
  while (true) {
    Thread.sleep(1000);
    pollElapsed += 1000;

    if (TERMINAL_RM_APP_STATES.contains(
        mrCluster.getResourceManager().getRMContext().getRMApps().get(appID)
        .getState())) {
      break;
    }

    if (pollElapsed >= 60000) {
      LOG.warn("application did not reach terminal state within 60 seconds");
      break;
    }
  }
  Assert.assertEquals(RMAppState.FINISHED, mrCluster.getResourceManager()
    .getRMContext().getRMApps().get(appID).getState());
  Counters counterHS = job.getCounters();
  //TODO the Assert below worked. need to check
  //Should we compare each field or convert to V2 counter and compare
  LOG.info("CounterHS " + counterHS);
  LOG.info("CounterMR " + counterMR);
  Assert.assertEquals(counterHS, counterMR);
  
  HSClientProtocol historyClient = instantiateHistoryProxy();
  GetJobReportRequest gjReq = Records.newRecord(GetJobReportRequest.class);
  gjReq.setJobId(jobId);
  JobReport jobReport = historyClient.getJobReport(gjReq).getJobReport();
  verifyJobReport(jobReport, jobId);
}