org.apache.hadoop.mapreduce.Job#setSpeculativeExecution ( )源码实例Demo

下面列出了org.apache.hadoop.mapreduce.Job#setSpeculativeExecution ( ) 实例代码，或者点击链接到github查看源代码，也可以在右侧发表评论。

源代码1 项目： hadoop 文件： CredentialsTestJob.java

public Job createJob() 
throws IOException {
  Configuration conf = getConf();
  conf.setInt(MRJobConfig.NUM_MAPS, 1);
  Job job = Job.getInstance(conf, "test");
  job.setNumReduceTasks(1);
  job.setJarByClass(CredentialsTestJob.class);
  job.setNumReduceTasks(1);
  job.setMapperClass(CredentialsTestJob.CredentialsTestMapper.class);
  job.setMapOutputKeyClass(IntWritable.class);
  job.setMapOutputValueClass(NullWritable.class);
  job.setReducerClass(CredentialsTestJob.CredentialsTestReducer.class);
  job.setInputFormatClass(SleepJob.SleepInputFormat.class);
  job.setPartitionerClass(SleepJob.SleepJobPartitioner.class);
  job.setOutputFormatClass(NullOutputFormat.class);
  job.setSpeculativeExecution(false);
  job.setJobName("test job");
  FileInputFormat.addInputPath(job, new Path("ignored"));
  return job;
}

源代码2 项目： big-c 文件： CredentialsTestJob.java

public Job createJob() 
throws IOException {
  Configuration conf = getConf();
  conf.setInt(MRJobConfig.NUM_MAPS, 1);
  Job job = Job.getInstance(conf, "test");
  job.setNumReduceTasks(1);
  job.setJarByClass(CredentialsTestJob.class);
  job.setNumReduceTasks(1);
  job.setMapperClass(CredentialsTestJob.CredentialsTestMapper.class);
  job.setMapOutputKeyClass(IntWritable.class);
  job.setMapOutputValueClass(NullWritable.class);
  job.setReducerClass(CredentialsTestJob.CredentialsTestReducer.class);
  job.setInputFormatClass(SleepJob.SleepInputFormat.class);
  job.setPartitionerClass(SleepJob.SleepJobPartitioner.class);
  job.setOutputFormatClass(NullOutputFormat.class);
  job.setSpeculativeExecution(false);
  job.setJobName("test job");
  FileInputFormat.addInputPath(job, new Path("ignored"));
  return job;
}

源代码3 项目： big-c 文件： FailJob.java

public Job createJob(boolean failMappers, boolean failReducers, Path inputFile) 
    throws IOException {
  Configuration conf = getConf();
  conf.setBoolean(FAIL_MAP, failMappers);
  conf.setBoolean(FAIL_REDUCE, failReducers);
  Job job = Job.getInstance(conf, "fail");
  job.setJarByClass(FailJob.class);
  job.setMapperClass(FailMapper.class);
  job.setMapOutputKeyClass(LongWritable.class);
  job.setMapOutputValueClass(NullWritable.class);
  job.setReducerClass(FailReducer.class);
  job.setOutputFormatClass(NullOutputFormat.class);
  job.setInputFormatClass(TextInputFormat.class);
  job.setSpeculativeExecution(false);
  job.setJobName("Fail job");
  FileInputFormat.addInputPath(job, inputFile);
  return job;
}

源代码4 项目： geowave 文件： GeoWaveDedupeJobRunner.java

@Override
protected void configure(final Job job) throws Exception {

  job.setJobName("GeoWave Dedupe (" + dataStoreOptions.getGeoWaveNamespace() + ")");

  job.setMapperClass(GeoWaveDedupeMapper.class);
  job.setCombinerClass(GeoWaveDedupeCombiner.class);
  job.setReducerClass(getReducer());
  job.setMapOutputKeyClass(GeoWaveInputKey.class);
  job.setMapOutputValueClass(ObjectWritable.class);
  job.setOutputKeyClass(GeoWaveInputKey.class);
  job.setOutputValueClass(ObjectWritable.class);

  job.setInputFormatClass(GeoWaveInputFormat.class);
  job.setOutputFormatClass(getOutputFormatClass());
  job.setNumReduceTasks(getNumReduceTasks());

  job.setSpeculativeExecution(false);

  try (final FileSystem fs = FileSystem.get(job.getConfiguration())) {
    final Path outputPath = getHdfsOutputPath();
    fs.delete(outputPath, true);
    FileOutputFormat.setOutputPath(job, outputPath);
  }
}

源代码5 项目： accumulo-examples 文件： NGramIngest.java

public static void main(String[] args) throws Exception {
  Opts opts = new Opts();
  opts.parseArgs(NGramIngest.class.getName(), args);

  Job job = Job.getInstance(opts.getHadoopConfig());
  job.setJobName(NGramIngest.class.getSimpleName());
  job.setJarByClass(NGramIngest.class);

  job.setInputFormatClass(TextInputFormat.class);
  job.setOutputFormatClass(AccumuloOutputFormat.class);
  AccumuloOutputFormat.configure().clientProperties(opts.getClientProperties())
      .defaultTable(opts.tableName).store(job);

  job.setMapperClass(NGramMapper.class);
  job.setMapOutputKeyClass(Text.class);
  job.setMapOutputValueClass(Mutation.class);

  job.setNumReduceTasks(0);
  job.setSpeculativeExecution(false);

  try (AccumuloClient client = opts.createAccumuloClient()) {
    if (!client.tableOperations().exists(opts.tableName)) {
      log.info("Creating table " + opts.tableName);
      client.tableOperations().create(opts.tableName);
      SortedSet<Text> splits = new TreeSet<>();
      String numbers[] = "1 2 3 4 5 6 7 8 9".split("\\s");
      String lower[] = "a b c d e f g h i j k l m n o p q r s t u v w x y z".split("\\s");
      String upper[] = "A B C D E F G H I J K L M N O P Q R S T U V W X Y Z".split("\\s");
      for (String[] array : new String[][] {numbers, lower, upper}) {
        for (String s : array) {
          splits.add(new Text(s));
        }
      }
      client.tableOperations().addSplits(opts.tableName, splits);
    }
  }

  TextInputFormat.addInputPath(job, new Path(opts.inputDirectory));
  System.exit(job.waitForCompletion(true) ? 0 : 1);
}

源代码6 项目： geowave 文件： GeoWaveInputLoadJobRunner.java

@Override
public void configure(final Job job) throws Exception {

  job.setMapperClass(Mapper.class);
  job.setReducerClass(InputToOutputKeyReducer.class);
  job.setMapOutputKeyClass(GeoWaveInputKey.class);
  job.setMapOutputValueClass(ObjectWritable.class);
  job.setOutputKeyClass(GeoWaveOutputKey.class);
  job.setOutputValueClass(Object.class);
  job.setSpeculativeExecution(false);

  job.setJobName("GeoWave Input to Output");
  job.setReduceSpeculativeExecution(false);
}

源代码7 项目： geowave 文件： NNJobRunner.java

@Override
public void configure(final Job job) throws Exception {
  job.setMapperClass(NNMapReduce.NNMapper.class);
  job.setReducerClass(NNMapReduce.NNSimpleFeatureIDOutputReducer.class);
  job.setMapOutputKeyClass(PartitionDataWritable.class);
  job.setMapOutputValueClass(AdapterWithObjectWritable.class);
  job.setOutputKeyClass(Text.class);
  job.setOutputValueClass(Text.class);
  job.setSpeculativeExecution(false);
}

源代码8 项目： incubator-tez 文件： TestMRRJobs.java

@Test (timeout = 60000)
public void testRandomWriter() throws IOException, InterruptedException,
    ClassNotFoundException {

  LOG.info("\n\n\nStarting testRandomWriter().");
  if (!(new File(MiniTezCluster.APPJAR)).exists()) {
    LOG.info("MRAppJar " + MiniTezCluster.APPJAR
             + " not found. Not running test.");
    return;
  }

  RandomTextWriterJob randomWriterJob = new RandomTextWriterJob();
  mrrTezCluster.getConfig().set(RandomTextWriterJob.TOTAL_BYTES, "3072");
  mrrTezCluster.getConfig().set(RandomTextWriterJob.BYTES_PER_MAP, "1024");
  Job job = randomWriterJob.createJob(mrrTezCluster.getConfig());
  Path outputDir = new Path(OUTPUT_ROOT_DIR, "random-output");
  FileOutputFormat.setOutputPath(job, outputDir);
  job.setSpeculativeExecution(false);
  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(mrrTezCluster.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);

}

源代码9 项目： incubator-tez 文件： MRRSleepJob.java

@VisibleForTesting
public Job createJob(int numMapper, int numReducer, int iReduceStagesCount,
    int numIReducer, long mapSleepTime, int mapSleepCount,
    long reduceSleepTime, int reduceSleepCount,
    long iReduceSleepTime, int iReduceSleepCount)
        throws IOException {
  Configuration conf = getConf();
  conf.setLong(MAP_SLEEP_TIME, mapSleepTime);
  conf.setLong(REDUCE_SLEEP_TIME, reduceSleepTime);
  conf.setLong(IREDUCE_SLEEP_TIME, iReduceSleepTime);
  conf.setInt(MAP_SLEEP_COUNT, mapSleepCount);
  conf.setInt(REDUCE_SLEEP_COUNT, reduceSleepCount);
  conf.setInt(IREDUCE_SLEEP_COUNT, iReduceSleepCount);
  conf.setInt(MRJobConfig.NUM_MAPS, numMapper);
  conf.setInt(IREDUCE_STAGES_COUNT, iReduceStagesCount);
  conf.setInt(IREDUCE_TASKS_COUNT, numIReducer);

  // Configure intermediate reduces
  conf.setInt(
      org.apache.tez.mapreduce.hadoop.MRJobConfig.MRR_INTERMEDIATE_STAGES,
      iReduceStagesCount);
  LOG.info("Running MRR with " + iReduceStagesCount + " IR stages");

  for (int i = 1; i <= iReduceStagesCount; ++i) {
    // Set reducer class for intermediate reduce
    conf.setClass(
        MultiStageMRConfigUtil.getPropertyNameForIntermediateStage(i,
            "mapreduce.job.reduce.class"), ISleepReducer.class, Reducer.class);
    // Set reducer output key class
    conf.setClass(
        MultiStageMRConfigUtil.getPropertyNameForIntermediateStage(i,
            "mapreduce.map.output.key.class"), IntWritable.class, Object.class);
    // Set reducer output value class
    conf.setClass(
        MultiStageMRConfigUtil.getPropertyNameForIntermediateStage(i,
            "mapreduce.map.output.value.class"), IntWritable.class, Object.class);
    conf.setInt(
        MultiStageMRConfigUtil.getPropertyNameForIntermediateStage(i,
            "mapreduce.job.reduces"), numIReducer);
  }

  Job job = Job.getInstance(conf, "sleep");
  job.setNumReduceTasks(numReducer);
  job.setJarByClass(MRRSleepJob.class);
  job.setNumReduceTasks(numReducer);
  job.setMapperClass(SleepMapper.class);
  job.setMapOutputKeyClass(IntWritable.class);
  job.setMapOutputValueClass(IntWritable.class);
  job.setReducerClass(SleepReducer.class);
  job.setOutputFormatClass(NullOutputFormat.class);
  job.setInputFormatClass(SleepInputFormat.class);
  job.setPartitionerClass(MRRSleepJobPartitioner.class);
  job.setSpeculativeExecution(false);
  job.setJobName("Sleep job");

  FileInputFormat.addInputPath(job, new Path("ignored"));
  return job;
}

源代码10 项目： incubator-retired-pirk 文件： ComputeResponseTool.java

private boolean multiplyColumns(Path outPathInit, Path outPathColumnMult) throws IOException, ClassNotFoundException, InterruptedException
{
  boolean success;

  Job columnMultJob = Job.getInstance(conf, "pir_columnMult");
  columnMultJob.setSpeculativeExecution(false);

  String columnMultJobName = "pir_columnMult";

  // Set the same job configs as for the first iteration
  columnMultJob.getConfiguration().set("mapreduce.map.memory.mb", SystemConfiguration.getProperty("mapreduce.map.memory.mb", "2000"));
  columnMultJob.getConfiguration().set("mapreduce.reduce.memory.mb", SystemConfiguration.getProperty("mapreduce.reduce.memory.mb", "2000"));
  columnMultJob.getConfiguration().set("mapreduce.map.java.opts", SystemConfiguration.getProperty("mapreduce.map.java.opts", "-Xmx1800m"));
  columnMultJob.getConfiguration().set("mapreduce.reduce.java.opts", SystemConfiguration.getProperty("mapreduce.reduce.java.opts", "-Xmx1800m"));

  columnMultJob.getConfiguration().set("mapreduce.map.speculative", "false");
  columnMultJob.getConfiguration().set("mapreduce.reduce.speculative", "false");
  columnMultJob.getConfiguration().set("pirMR.queryInputDir", SystemConfiguration.getProperty("pir.queryInput"));

  columnMultJob.setJobName(columnMultJobName);
  columnMultJob.setJarByClass(ColumnMultMapper.class);
  columnMultJob.setNumReduceTasks(numReduceTasks);

  // Set the Mapper, InputFormat, and input path
  columnMultJob.setMapperClass(ColumnMultMapper.class);
  columnMultJob.setInputFormatClass(TextInputFormat.class);

  FileStatus[] status = fs.listStatus(outPathInit);
  for (FileStatus fstat : status)
  {
    if (fstat.getPath().getName().startsWith(FileConst.PIR))
    {
      logger.info("fstat.getPath() = " + fstat.getPath().toString());
      FileInputFormat.addInputPath(columnMultJob, fstat.getPath());
    }
  }
  columnMultJob.setMapOutputKeyClass(LongWritable.class);
  columnMultJob.setMapOutputValueClass(Text.class);

  // Set the reducer and output options
  columnMultJob.setReducerClass(ColumnMultReducer.class);
  columnMultJob.setOutputKeyClass(LongWritable.class);
  columnMultJob.setOutputValueClass(Text.class);
  columnMultJob.getConfiguration().set("mapreduce.output.textoutputformat.separator", ",");

  // Delete the output file, if it exists
  if (fs.exists(outPathColumnMult))
  {
    fs.delete(outPathColumnMult, true);
  }
  FileOutputFormat.setOutputPath(columnMultJob, outPathColumnMult);

  MultipleOutputs.addNamedOutput(columnMultJob, FileConst.PIR_COLS, TextOutputFormat.class, LongWritable.class, Text.class);

  // Submit job, wait for completion
  success = columnMultJob.waitForCompletion(true);

  return success;
}

源代码11 项目： incubator-retired-pirk 文件： ComputeResponseTool.java

private boolean computeFinalResponse(Path outPathFinal) throws ClassNotFoundException, IOException, InterruptedException
{
  boolean success;

  Job finalResponseJob = Job.getInstance(conf, "pir_finalResponse");
  finalResponseJob.setSpeculativeExecution(false);

  String finalResponseJobName = "pir_finalResponse";

  // Set the same job configs as for the first iteration
  finalResponseJob.getConfiguration().set("mapreduce.map.memory.mb", SystemConfiguration.getProperty("mapreduce.map.memory.mb", "2000"));
  finalResponseJob.getConfiguration().set("mapreduce.reduce.memory.mb", SystemConfiguration.getProperty("mapreduce.reduce.memory.mb", "2000"));
  finalResponseJob.getConfiguration().set("mapreduce.map.java.opts", SystemConfiguration.getProperty("mapreduce.map.java.opts", "-Xmx1800m"));
  finalResponseJob.getConfiguration().set("mapreduce.reduce.java.opts", SystemConfiguration.getProperty("mapreduce.reduce.java.opts", "-Xmx1800m"));

  finalResponseJob.getConfiguration().set("pirMR.queryInputDir", SystemConfiguration.getProperty("pir.queryInput"));
  finalResponseJob.getConfiguration().set("pirMR.outputFile", outputFile);

  finalResponseJob.getConfiguration().set("mapreduce.map.speculative", "false");
  finalResponseJob.getConfiguration().set("mapreduce.reduce.speculative", "false");

  finalResponseJob.setJobName(finalResponseJobName);
  finalResponseJob.setJarByClass(ColumnMultMapper.class);
  finalResponseJob.setNumReduceTasks(1);

  // Set the Mapper, InputFormat, and input path
  finalResponseJob.setMapperClass(ColumnMultMapper.class);
  finalResponseJob.setInputFormatClass(TextInputFormat.class);

  FileStatus[] status = fs.listStatus(new Path(outputDirColumnMult));
  for (FileStatus fstat : status)
  {
    if (fstat.getPath().getName().startsWith(FileConst.PIR_COLS))
    {
      logger.info("fstat.getPath() = " + fstat.getPath().toString());
      FileInputFormat.addInputPath(finalResponseJob, fstat.getPath());
    }
  }
  finalResponseJob.setMapOutputKeyClass(LongWritable.class);
  finalResponseJob.setMapOutputValueClass(Text.class);

  // Set the reducer and output options
  finalResponseJob.setReducerClass(FinalResponseReducer.class);
  finalResponseJob.setOutputKeyClass(LongWritable.class);
  finalResponseJob.setOutputValueClass(Text.class);
  finalResponseJob.getConfiguration().set("mapreduce.output.textoutputformat.separator", ",");

  // Delete the output file, if it exists
  if (fs.exists(outPathFinal))
  {
    fs.delete(outPathFinal, true);
  }
  FileOutputFormat.setOutputPath(finalResponseJob, outPathFinal);
  MultipleOutputs.addNamedOutput(finalResponseJob, FileConst.PIR_FINAL, TextOutputFormat.class, LongWritable.class, Text.class);

  // Submit job, wait for completion
  success = finalResponseJob.waitForCompletion(true);

  return success;
}

源代码12 项目： big-c 文件： TestMRJobs.java

@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
}

源代码13 项目： big-c 文件： PiEstimator.java

/**
   * Run a map/reduce job for estimating Pi.
   *
   * @return the estimated value of Pi
   */
  @SuppressWarnings("finally")
public static BigDecimal estimate(int numMaps, long numPoints, Job job
      ) throws IOException {
    //setup job conf
	  

	
    job.setJobName(PiEstimator.class.getSimpleName());

    job.setInputFormatClass(SequenceFileInputFormat.class);

    job.setOutputKeyClass(BooleanWritable.class);
    job.setOutputValueClass(LongWritable.class);
    job.setOutputFormatClass(SequenceFileOutputFormat.class);

    job.setMapperClass(PiMapper.class);
    job.setReducerClass(PiReducer.class);
    job.setNumReduceTasks(1);

    // turn off speculative execution, because DFS doesn't handle
    // multiple writers to the same file.
    job.setSpeculativeExecution(false);

    //setup input/output directories
    //final Path inDir = new Path(TMP_DIR, "in");
    final Path inDir = new Path("/home/hadoop1/tmp_dir", "in");
    System.out.println("inDir =" + inDir.toString());
    //final Path outDir = new Path(TMP_DIR, "out");
    final Path outDir = new Path("/home/hadoop1/tmp_dir", "out");
    System.out.println("outDir =" + outDir.toString());
    FileInputFormat.addInputPath(job, inDir);
    FileOutputFormat.setOutputPath(job, outDir);

    final FileSystem fs = FileSystem.get(job.getConfiguration());
    if (fs.exists(TMP_DIR)) {
      throw new IOException("Tmp directory " + fs.makeQualified(TMP_DIR)
          + " already exists.  Please remove it first.");
    }
    if (!fs.mkdirs(inDir)) {
      throw new IOException("Cannot create input directory " + inDir);
    }

    try {
      //generate an input file for each map task
      for(int i=0; i < numMaps; ++i) {
        final Path file = new Path(inDir, "part"+i);
        final LongWritable offset = new LongWritable(i * numPoints);
        final LongWritable size = new LongWritable(numPoints);
        final SequenceFile.Writer writer = SequenceFile.createWriter(
            fs, job.getConfiguration(), file,
            LongWritable.class, LongWritable.class, CompressionType.NONE);
        try {
          writer.append(offset, size);
        } finally {
          writer.close();
        }
        System.out.println("Wrote input for Map #"+i);
      }
  
      //start a map/reduce job
      System.out.println("Starting Job");
      final long startTime = System.currentTimeMillis();
      Boolean waitforCompletion = job.waitForCompletion(true) ;
      final double duration = (System.currentTimeMillis() - startTime)/1000.0;
      System.out.println("Job Finished in " + duration + " seconds");

      //read outputs
      Path inFile = new Path(outDir, "reduce-out");
      LongWritable numInside = new LongWritable();
      LongWritable numOutside = new LongWritable();
      SequenceFile.Reader reader = new SequenceFile.Reader(fs, inFile, job.getConfiguration());
      try {
        reader.next(numInside, numOutside);
      } finally {
        reader.close();
      }

      //compute estimated value
      return BigDecimal.valueOf(4).setScale(20)
          .multiply(BigDecimal.valueOf(numInside.get()))
          .divide(BigDecimal.valueOf(numMaps))
          .divide(BigDecimal.valueOf(numPoints));
    }catch (InterruptedException e){
    	
      System.out.println("Job Exception " + e.getMessage() );
    	
    
    } finally {
      fs.delete(TMP_DIR, true);
      return BigDecimal.valueOf(4);
    }
  }

源代码14 项目： tez 文件： TestMRRJobs.java

@Test (timeout = 60000)
public void testRandomWriter() throws IOException, InterruptedException,
    ClassNotFoundException {

  LOG.info("\n\n\nStarting testRandomWriter().");
  if (!(new File(MiniTezCluster.APPJAR)).exists()) {
    LOG.info("MRAppJar " + MiniTezCluster.APPJAR
             + " not found. Not running test.");
    return;
  }

  RandomTextWriterJob randomWriterJob = new RandomTextWriterJob();
  mrrTezCluster.getConfig().set(RandomTextWriterJob.TOTAL_BYTES, "3072");
  mrrTezCluster.getConfig().set(RandomTextWriterJob.BYTES_PER_MAP, "1024");
  Job job = randomWriterJob.createJob(mrrTezCluster.getConfig());
  Path outputDir = new Path(OUTPUT_ROOT_DIR, "random-output");
  FileOutputFormat.setOutputPath(job, outputDir);
  job.setSpeculativeExecution(false);
  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.contains(jobId.substring(jobId.indexOf("_"))));

  // Make sure there are three files in the output-dir

  RemoteIterator<FileStatus> iterator =
      FileContext.getFileContext(mrrTezCluster.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);

}

源代码15 项目： Halyard 文件： HalyardBulkLoad.java

@Override
protected int run(CommandLine cmd) throws Exception {
    String source = cmd.getOptionValue('s');
    String workdir = cmd.getOptionValue('w');
    String target = cmd.getOptionValue('t');
    getConf().setBoolean(SKIP_INVALID_PROPERTY, cmd.hasOption('i'));
    getConf().setBoolean(VERIFY_DATATYPE_VALUES_PROPERTY, cmd.hasOption('d'));
    getConf().setBoolean(TRUNCATE_PROPERTY, cmd.hasOption('r'));
    getConf().setInt(SPLIT_BITS_PROPERTY, Integer.parseInt(cmd.getOptionValue('b', "3")));
    if (cmd.hasOption('g')) getConf().set(DEFAULT_CONTEXT_PROPERTY, cmd.getOptionValue('g'));
    getConf().setBoolean(OVERRIDE_CONTEXT_PROPERTY, cmd.hasOption('o'));
    getConf().setLong(DEFAULT_TIMESTAMP_PROPERTY, Long.parseLong(cmd.getOptionValue('e', String.valueOf(System.currentTimeMillis()))));
    if (cmd.hasOption('m')) getConf().setLong("mapreduce.input.fileinputformat.split.maxsize", Long.parseLong(cmd.getOptionValue('m')));
    TableMapReduceUtil.addDependencyJars(getConf(),
            NTriplesUtil.class,
            Rio.class,
            AbstractRDFHandler.class,
            RDFFormat.class,
            RDFParser.class);
    HBaseConfiguration.addHbaseResources(getConf());
    Job job = Job.getInstance(getConf(), "HalyardBulkLoad -> " + workdir + " -> " + target);
    job.setJarByClass(HalyardBulkLoad.class);
    job.setMapperClass(RDFMapper.class);
    job.setMapOutputKeyClass(ImmutableBytesWritable.class);
    job.setMapOutputValueClass(KeyValue.class);
    job.setInputFormatClass(RioFileInputFormat.class);
    job.setSpeculativeExecution(false);
    job.setReduceSpeculativeExecution(false);
    try (HTable hTable = HalyardTableUtils.getTable(getConf(), target, true, getConf().getInt(SPLIT_BITS_PROPERTY, 3))) {
        HFileOutputFormat2.configureIncrementalLoad(job, hTable.getTableDescriptor(), hTable.getRegionLocator());
        FileInputFormat.setInputDirRecursive(job, true);
        FileInputFormat.setInputPaths(job, source);
        FileOutputFormat.setOutputPath(job, new Path(workdir));
        TableMapReduceUtil.addDependencyJars(job);
        TableMapReduceUtil.initCredentials(job);
        if (job.waitForCompletion(true)) {
            if (getConf().getBoolean(TRUNCATE_PROPERTY, false)) {
                HalyardTableUtils.truncateTable(hTable).close();
            }
            new LoadIncrementalHFiles(getConf()).doBulkLoad(new Path(workdir), hTable);
            LOG.info("Bulk Load Completed..");
            return 0;
        }
    }
    return -1;
}

源代码16 项目： Halyard 文件： HalyardBulkUpdate.java

public int run(CommandLine cmd) throws Exception {
    String source = cmd.getOptionValue('s');
    String queryFiles = cmd.getOptionValue('q');
    String workdir = cmd.getOptionValue('w');
    getConf().setLong(DEFAULT_TIMESTAMP_PROPERTY, Long.parseLong(cmd.getOptionValue('e', String.valueOf(System.currentTimeMillis()))));
    if (cmd.hasOption('i')) getConf().set(ELASTIC_INDEX_URL, cmd.getOptionValue('i'));
    TableMapReduceUtil.addDependencyJars(getConf(),
           HalyardExport.class,
           NTriplesUtil.class,
           Rio.class,
           AbstractRDFHandler.class,
           RDFFormat.class,
           RDFParser.class,
           HTable.class,
           HBaseConfiguration.class,
           AuthenticationProtos.class,
           Trace.class,
           Gauge.class);
    HBaseConfiguration.addHbaseResources(getConf());
    getConf().setStrings(TABLE_NAME_PROPERTY, source);
    getConf().setLong(DEFAULT_TIMESTAMP_PROPERTY, getConf().getLong(DEFAULT_TIMESTAMP_PROPERTY, System.currentTimeMillis()));
    int stages = 1;
    for (int stage = 0; stage < stages; stage++) {
        Job job = Job.getInstance(getConf(), "HalyardBulkUpdate -> " + workdir + " -> " + source + " stage #" + stage);
        job.getConfiguration().setInt(STAGE_PROPERTY, stage);
        job.setJarByClass(HalyardBulkUpdate.class);
        job.setMapperClass(SPARQLUpdateMapper.class);
        job.setMapOutputKeyClass(ImmutableBytesWritable.class);
        job.setMapOutputValueClass(KeyValue.class);
        job.setInputFormatClass(QueryInputFormat.class);
        job.setSpeculativeExecution(false);
        job.setReduceSpeculativeExecution(false);
        try (HTable hTable = HalyardTableUtils.getTable(getConf(), source, false, 0)) {
            HFileOutputFormat2.configureIncrementalLoad(job, hTable.getTableDescriptor(), hTable.getRegionLocator());
            QueryInputFormat.setQueriesFromDirRecursive(job.getConfiguration(), queryFiles, true, stage);
            Path outPath = new Path(workdir, "stage"+stage);
            FileOutputFormat.setOutputPath(job, outPath);
            TableMapReduceUtil.addDependencyJars(job);
            TableMapReduceUtil.initCredentials(job);
            if (stage == 0) { //count real number of stages
                for (InputSplit is : new QueryInputFormat().getSplits(job)) {
                    QueryInputFormat.QueryInputSplit qis = (QueryInputFormat.QueryInputSplit)is;
                    int updates = QueryParserUtil.parseUpdate(QueryLanguage.SPARQL, qis.getQuery(), null).getUpdateExprs().size();
                    if (updates > stages) {
                        stages = updates;
                    }
                    LOG.log(Level.INFO, "{0} contains {1} stages of the update sequence.", new Object[]{qis.getQueryName(), updates});
                }
                LOG.log(Level.INFO, "Bulk Update will process {0} MapReduce stages.", stages);
            }
            if (job.waitForCompletion(true)) {
                new LoadIncrementalHFiles(getConf()).doBulkLoad(outPath, hTable);
                LOG.log(Level.INFO, "Stage #{0} of {1} completed..", new Object[]{stage, stages});
            } else {
                return -1;
            }
        }
    }
    LOG.info("Bulk Update Completed..");
    return 0;
}

源代码17 项目： sequenceiq-samples 文件： QuasiMonteCarlo.java

/**
   * Run a map/reduce job for estimating Pi.
   *
   * @return the estimated value of Pi
   */
  public static JobID submitPiEstimationMRApp(String jobName, int numMaps, long numPoints,
      Path tmpDir, Configuration conf
      ) throws IOException, ClassNotFoundException, InterruptedException {
    Job job = new Job(conf);
    //setup job conf
    job.setJobName(jobName);
    job.setJarByClass(QuasiMonteCarlo.class);

    job.setInputFormatClass(SequenceFileInputFormat.class);

    job.setOutputKeyClass(BooleanWritable.class);
    job.setOutputValueClass(LongWritable.class);
    job.setOutputFormatClass(SequenceFileOutputFormat.class);

    job.setMapperClass(QmcMapper.class);

    job.setReducerClass(QmcReducer.class);
    job.setNumReduceTasks(1);

    // turn off speculative execution, because DFS doesn't handle
    // multiple writers to the same file.
    job.setSpeculativeExecution(false);

    //setup input/output directories
    final Path inDir = new Path(tmpDir, "in");
    final Path outDir = new Path(tmpDir, "out");
    FileInputFormat.setInputPaths(job, inDir);
    FileOutputFormat.setOutputPath(job, outDir);

    final FileSystem fs = FileSystem.get(conf);
    if (fs.exists(tmpDir)) {
    	fs.delete(tmpDir, true);
//      throw new IOException("Tmp directory " + fs.makeQualified(tmpDir)
//          + " already exists.  Please remove it first.");
    }
    if (!fs.mkdirs(inDir)) {
      throw new IOException("Cannot create input directory " + inDir);
    }

  //  try {
      //generate an input file for each map task
      for(int i=0; i < numMaps; ++i) {
        final Path file = new Path(inDir, "part"+i);
        final LongWritable offset = new LongWritable(i * numPoints);
        final LongWritable size = new LongWritable(numPoints);
        final SequenceFile.Writer writer = SequenceFile.createWriter(
            fs, conf, file,
            LongWritable.class, LongWritable.class, CompressionType.NONE);
        try {
          writer.append(offset, size);
        } finally {
          writer.close();
        }
        System.out.println("Wrote input for Map #"+i);
      }
  
      //start a map/reduce job
      System.out.println("Starting Job");
      final long startTime = System.currentTimeMillis();
      job.submit();
//      final double duration = (System.currentTimeMillis() - startTime)/1000.0;
//      System.out.println("Job Finished in " + duration + " seconds");
      return job.getJobID();
    
//    } finally {
//      fs.delete(tmpDir, true);
//    }
  }

源代码18 项目： geowave 文件： DBScanJobRunner.java

@Override
public void configure(final Job job) throws Exception {
  super.configure(job);
  job.setMapperClass(NNMapReduce.NNMapper.class);
  job.setReducerClass(DBScanMapReduce.DBScanMapHullReducer.class);
  job.setMapOutputKeyClass(PartitionDataWritable.class);
  job.setMapOutputValueClass(AdapterWithObjectWritable.class);
  job.setOutputKeyClass(GeoWaveInputKey.class);
  job.setOutputValueClass(ObjectWritable.class);
  job.setSpeculativeExecution(false);
  final Configuration conf = job.getConfiguration();
  conf.set("mapreduce.map.java.opts", "-Xmx" + memInMB + "m");
  conf.set("mapreduce.reduce.java.opts", "-Xmx" + memInMB + "m");
  conf.setLong("mapred.task.timeout", 2000000);
  conf.setInt("mapreduce.task.io.sort.mb", 250);
  job.getConfiguration().setBoolean("mapreduce.reduce.speculative", false);

  Class<? extends CompressionCodec> bestCodecClass =
      org.apache.hadoop.io.compress.DefaultCodec.class;
  int rank = 0;
  for (final Class<? extends CompressionCodec> codecClass : CompressionCodecFactory.getCodecClasses(
      conf)) {
    int r = 1;
    for (final String codecs : CodecsRank) {
      if (codecClass.getName().contains(codecs)) {
        break;
      }
      r++;
    }
    if ((rank < r) && (r <= CodecsRank.length)) {
      try {
        final CompressionCodec codec = codecClass.newInstance();
        if (Configurable.class.isAssignableFrom(codecClass)) {
          ((Configurable) codec).setConf(conf);
        }
        // throws an exception if not configurable in this context
        CodecPool.getCompressor(codec);
        bestCodecClass = codecClass;
        rank = r;
      } catch (final Throwable ex) {
        // occurs when codec is not installed.
        LOGGER.info("Not configuable in this context", ex);
      }
    }
  }
  LOGGER.warn("Compression with " + bestCodecClass.toString());

  conf.setClass("mapreduce.map.output.compress.codec", bestCodecClass, CompressionCodec.class);
  conf.setBoolean("mapreduce.map.output.compress", true);
  conf.setBooleanIfUnset("first.iteration", firstIteration);
}

源代码19 项目： tez 文件： MRRSleepJob.java

@VisibleForTesting
public Job createJob(int numMapper, int numReducer, int iReduceStagesCount,
    int numIReducer, long mapSleepTime, int mapSleepCount,
    long reduceSleepTime, int reduceSleepCount,
    long iReduceSleepTime, int iReduceSleepCount)
        throws IOException {
  Configuration conf = getConf();
  conf.setLong(MAP_SLEEP_TIME, mapSleepTime);
  conf.setLong(REDUCE_SLEEP_TIME, reduceSleepTime);
  conf.setLong(IREDUCE_SLEEP_TIME, iReduceSleepTime);
  conf.setInt(MAP_SLEEP_COUNT, mapSleepCount);
  conf.setInt(REDUCE_SLEEP_COUNT, reduceSleepCount);
  conf.setInt(IREDUCE_SLEEP_COUNT, iReduceSleepCount);
  conf.setInt(MRJobConfig.NUM_MAPS, numMapper);
  conf.setInt(IREDUCE_STAGES_COUNT, iReduceStagesCount);
  conf.setInt(IREDUCE_TASKS_COUNT, numIReducer);

  // Configure intermediate reduces
  conf.setInt(
      org.apache.tez.mapreduce.hadoop.MRJobConfig.MRR_INTERMEDIATE_STAGES,
      iReduceStagesCount);
  LOG.info("Running MRR with " + iReduceStagesCount + " IR stages");

  for (int i = 1; i <= iReduceStagesCount; ++i) {
    // Set reducer class for intermediate reduce
    conf.setClass(
        MultiStageMRConfigUtil.getPropertyNameForIntermediateStage(i,
            "mapreduce.job.reduce.class"), ISleepReducer.class, Reducer.class);
    // Set reducer output key class
    conf.setClass(
        MultiStageMRConfigUtil.getPropertyNameForIntermediateStage(i,
            "mapreduce.map.output.key.class"), IntWritable.class, Object.class);
    // Set reducer output value class
    conf.setClass(
        MultiStageMRConfigUtil.getPropertyNameForIntermediateStage(i,
            "mapreduce.map.output.value.class"), IntWritable.class, Object.class);
    conf.setInt(
        MultiStageMRConfigUtil.getPropertyNameForIntermediateStage(i,
            "mapreduce.job.reduces"), numIReducer);
  }

  Job job = Job.getInstance(conf, "sleep");
  job.setNumReduceTasks(numReducer);
  job.setJarByClass(MRRSleepJob.class);
  job.setNumReduceTasks(numReducer);
  job.setMapperClass(SleepMapper.class);
  job.setMapOutputKeyClass(IntWritable.class);
  job.setMapOutputValueClass(IntWritable.class);
  job.setReducerClass(SleepReducer.class);
  job.setOutputFormatClass(NullOutputFormat.class);
  job.setInputFormatClass(SleepInputFormat.class);
  job.setPartitionerClass(MRRSleepJobPartitioner.class);
  job.setSpeculativeExecution(false);
  job.setJobName("Sleep job");

  FileInputFormat.addInputPath(job, new Path("ignored"));
  return job;
}

源代码20 项目： geowave 文件： BasicMapReduceIT.java

@Override
public int runJob() throws Exception {
  final boolean job1Success = (super.runJob() == 0);
  Assert.assertTrue(job1Success);
  // after the first job there should be a sequence file with the
  // filtered results which should match the expected results
  // resources

  final Job job = Job.getInstance(super.getConf());

  final Configuration conf = job.getConfiguration();
  MapReduceTestUtils.filterConfiguration(conf);
  final ByteBuffer buf = ByteBuffer.allocate((8 * expectedResults.hashedCentroids.size()) + 4);
  buf.putInt(expectedResults.hashedCentroids.size());
  for (final Long hashedCentroid : expectedResults.hashedCentroids) {
    buf.putLong(hashedCentroid);
  }
  conf.set(
      MapReduceTestUtils.EXPECTED_RESULTS_KEY,
      ByteArrayUtils.byteArrayToString(buf.array()));

  GeoWaveInputFormat.setStoreOptions(conf, dataStoreOptions);
  job.setJarByClass(this.getClass());

  job.setJobName("GeoWave Test (" + dataStoreOptions.getGeoWaveNamespace() + ")");
  job.setInputFormatClass(SequenceFileInputFormat.class);
  job.setMapperClass(VerifyExpectedResultsMapper.class);
  job.setMapOutputKeyClass(NullWritable.class);
  job.setMapOutputValueClass(NullWritable.class);
  job.setOutputFormatClass(NullOutputFormat.class);
  job.setNumReduceTasks(0);
  job.setSpeculativeExecution(false);
  FileInputFormat.setInputPaths(job, getHdfsOutputPath());

  final boolean job2success = job.waitForCompletion(true);
  final Counters jobCounters = job.getCounters();
  final Counter expectedCnt = jobCounters.findCounter(ResultCounterType.EXPECTED);
  Assert.assertNotNull(expectedCnt);
  Assert.assertEquals(expectedResults.count, expectedCnt.getValue());
  final Counter errorCnt = jobCounters.findCounter(ResultCounterType.ERROR);
  if (errorCnt != null) {
    Assert.assertEquals(0L, errorCnt.getValue());
  }
  final Counter unexpectedCnt = jobCounters.findCounter(ResultCounterType.UNEXPECTED);
  if (unexpectedCnt != null) {
    Assert.assertEquals(0L, unexpectedCnt.getValue());
  }
  return job2success ? 0 : 1;
}