Java Code Examples for org.apache.hadoop.mapreduce.Job#setOutputFormatClass()

private Path doMapReduce(final String inputFile) throws Exception {
    final FileSystem fileSystem = FileSystem.get(conf);
    final Path inputPath = new Path(inputFile);
    final Path outputPath = fileSystem.makeQualified(new Path("target/out"));
    fileSystem.delete(outputPath, true);

    final Job job = Job.getInstance(conf);
    FileInputFormat.setInputPaths(job, inputPath);

    conf.set(BAMTestNoHeaderOutputFormat.READ_HEADER_FROM_FILE, inputFile);
    job.setInputFormatClass(BAMInputFormat.class);
    job.setMapOutputKeyClass(LongWritable.class);
    job.setMapOutputValueClass(SAMRecordWritable.class);

    job.setOutputFormatClass(BAMTestNoHeaderOutputFormat.class);
    job.setOutputKeyClass(LongWritable.class);
    job.setOutputValueClass(SAMRecordWritable.class);

    job.setNumReduceTasks(0);
    FileOutputFormat.setOutputPath(job, outputPath);

    final boolean success = job.waitForCompletion(true);
    assertTrue(success);

    return outputPath;
}
 

/**
 * @param conf to use to create and run the job
 * @param scan to be used to scan the raw table.
 * @param totalJobCount the total number of jobs that need to be run in this
 *          batch. Used in job name.
 * @return The job to be submitted to the cluster.
 * @throws IOException
 * @throws InterruptedException
 * @throws ClassNotFoundException
 */
private Job getProcessingJob(Configuration conf, Scan scan, int totalJobCount)
    throws IOException {

  Configuration confClone = new Configuration(conf);

  // Turn off speculative execution.
  // Note: must be BEFORE the job construction with the new mapreduce API.
  confClone.setBoolean("mapred.map.tasks.speculative.execution", false);

  // Set up job
  Job job = new Job(confClone, getJobName(totalJobCount));

  // This is a map-only class, skip reduce step
  job.setNumReduceTasks(0);
  job.setJarByClass(JobFileProcessor.class);
  job.setOutputFormatClass(MultiTableOutputFormat.class);

  TableMapReduceUtil.initTableMapperJob(Constants.HISTORY_RAW_TABLE, scan,
      JobFileTableMapper.class, JobFileTableMapper.getOutputKeyClass(),
      JobFileTableMapper.getOutputValueClass(), job);

  return job;
}
 

public final static void main(final String[] args) throws Exception {
	final Configuration conf = new Configuration();

	final Job job = new Job(conf, "P2Q1");
	job.setJarByClass(P2Q1.class);

	job.setOutputKeyClass(Text.class);
	job.setOutputValueClass(IntWritable.class);

	job.setMapperClass(P2Q1Map.class);
	job.setCombinerClass(P2Q1Reduce.class);
	job.setReducerClass(P2Q1Reduce.class);

	job.setInputFormatClass(TextInputFormat.class);
	job.setOutputFormatClass(TextOutputFormat.class);

	FileInputFormat.addInputPath(job, new Path(args[0]));
	FileOutputFormat.setOutputPath(job, new Path(args[1]));

	job.waitForCompletion(true);
}
 

public static int run(Path model, Configuration baseConf) throws IOException, ClassNotFoundException,
		InterruptedException {
	Configuration conf = new Configuration(baseConf);
	conf.set("com.b5m.laser.msgpack.input.method", "ad_feature");
	conf.set("com.b5m.laser.msgpack.output.method", "precompute_ad_offline_model");
	conf.set("com.b5m.laser.offline.model", model.toString());
	Job job = Job.getInstance(conf);
	job.setJarByClass(Compute.class);
	job.setJobName("per compute stable part from offline model for each user");
	job.setInputFormatClass(MsgpackInputFormat.class);
	job.setOutputFormatClass(MsgpackOutputFormat.class);
	
	job.setOutputKeyClass(Long.class);
	job.setOutputValueClass(Result.class);
	
	job.setMapperClass(Mapper.class);
	job.setNumReduceTasks(0);
	
	boolean succeeded = job.waitForCompletion(true);
	if (!succeeded) {
		throw new IllegalStateException("Job failed!");
	}

	return 0;
}
 

protected Job initializeJob() throws IOException {
	Job job = new Job(getConf());
	job.setJarByClass(Distcp.class);

	job.setInputFormatClass(TextInputFormat.class);
	job.setOutputFormatClass(CleanOutputFormat.class);
	job.setMapOutputKeyClass(LongWritable.class);
	job.setMapOutputValueClass(Text.class);
	job.setMapperClass(Map.class);
	job.setReducerClass(Reduce.class);
	job.setPartitionerClass(Partition.class);
	StorageHelper sh = new StorageHelper(job.getConfiguration());
	LOG.info(String.format("temp location for job: %s", sh.getBaseTempLocation()));

	return job;
}
 

public static void main(String[] args) throws IOException, ClassNotFoundException, InterruptedException {  
    Configuration conf1 = new Configuration();  

    Job job1 = new Job(conf1, "wiki  job three1");  
    job1.setOutputFormatClass(SequenceFileOutputFormat.class);  
    job1.setInputFormatClass(SequenceFileInputFormat.class);  
    job1.setNumReduceTasks(1);  
    job1.setJarByClass(Step31.class);  
    job1.setMapperClass(WikiMapper31.class);  
    job1.setMapOutputKeyClass(IntWritable.class);  
    job1.setMapOutputValueClass(VectorOrPrefWritable.class);  
      
    // set a reducer only to use SequenceFileOutputFormat  
    job1.setReducerClass(WiKiReducer31.class);  
    job1.setOutputKeyClass(IntWritable.class);  
    job1.setOutputValueClass(VectorOrPrefWritable.class);  
      
    // this MR's input is the MR2's output  
    SequenceFileInputFormat.addInputPath(job1, new Path(INPUT_PATH));  
    SequenceFileOutputFormat.setOutputPath(job1, new Path(OUTPUT_PATH));     
    if(!job1.waitForCompletion(true)){  
        System.exit(1); // run error then exit  
    }  
}
 

public static void initializeCenters (Configuration conf, FileSystem fs, String pointsPath, String seqFilePath) throws Exception {
	Path points = new Path (pointsPath);
	Path seqFile = new Path (seqFilePath);
	if (fs.exists(seqFile)) {
		fs.delete(seqFile, true);
	}
	Job job = Job.getInstance(conf);
	job.setMapperClass(CenterInitializer.class);
	job.setReducerClass(Reducer.class);
	job.setNumReduceTasks(0);
	job.setMapOutputKeyClass(Centroid.class);
	job.setMapOutputValueClass(Point.class);
	job.setOutputKeyClass(Centroid.class);
	job.setOutputValueClass(Point.class);
	job.setOutputFormatClass(SequenceFileOutputFormat.class);
	job.setInputFormatClass(TextInputFormat.class);
	FileInputFormat.addInputPath(job, new Path(pointsPath));
	FileOutputFormat.setOutputPath(job, seqFile);
	job.waitForCompletion(true);
}
 

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;
}
 

public int runRandomInputGenerator(int numMappers, long numNodes, Path tmpOutput,
    Integer width, Integer wrapMultiplier, Integer numWalkers)
    throws Exception {
  LOG.info("Running RandomInputGenerator with numMappers=" + numMappers
      + ", numNodes=" + numNodes);
  Job job = Job.getInstance(getConf());

  job.setJobName("Random Input Generator");
  job.setNumReduceTasks(0);
  job.setJarByClass(getClass());

  job.setInputFormatClass(GeneratorInputFormat.class);
  job.setOutputKeyClass(BytesWritable.class);
  job.setOutputValueClass(NullWritable.class);

  setJobConf(job, numMappers, numNodes, width, wrapMultiplier, numWalkers);

  job.setMapperClass(Mapper.class); //identity mapper

  FileOutputFormat.setOutputPath(job, tmpOutput);
  job.setOutputFormatClass(SequenceFileOutputFormat.class);
  TableMapReduceUtil.addDependencyJarsForClasses(job.getConfiguration(), Random64.class);

  boolean success = jobCompletion(job);

  return success ? 0 : 1;
}
 

public static void main(String[] args) throws Exception {
    Configuration conf = new Configuration();
    if (args.length < 2) {
        System.err.println(
                "Usage: LinkCountCooccurrences configFile outputDir");
        System.exit(2);
    }
    String[] otherArgs = new GenericOptionsParser(conf, args).getRemainingArgs();
    
    Job job = Job.getInstance(conf, "link count cooccurrences");
    job.setJarByClass(LinkCountCooccurrences.class);
    job.setInputFormatClass(KeyValueInputFormat.class);
    job.setMapperClass(RefMapper.class);
    job.setMapOutputKeyClass(Text.class);
    job.setMapOutputValueClass(IntWritable.class);
    job.setCombinerClass(IntSumReducer.class);
    job.setReducerClass(IntSumReducer.class);
    job.setOutputFormatClass(TextOutputFormat.class);
    job.setOutputKeyClass(Text.class);
    job.setOutputValueClass(IntWritable.class);
    FileOutputFormat.setOutputPath(job, new Path(otherArgs[1]));

    conf = job.getConfiguration();
    conf.addResource(otherArgs[0]);
    conf.setClass(MarkLogicConstants.INPUT_KEY_CLASS, Text.class, 
            Writable.class);
    conf.setClass(MarkLogicConstants.INPUT_VALUE_CLASS, Text.class, 
            Writable.class);
    conf.setClass(MarkLogicConstants.INPUT_LEXICON_FUNCTION_CLASS, 
            HrefTitleMap.class, ElemAttrValueCooccurrences.class);

    System.exit(job.waitForCompletion(true) ? 0 : 1);
}
 

private int doVerify(Path outputDir, int numReducers) throws IOException, InterruptedException,
    ClassNotFoundException {
  job = new Job(getConf());

  job.setJobName("Link Verifier");
  job.setNumReduceTasks(numReducers);
  job.setJarByClass(getClass());

  setJobScannerConf(job);

  Scan scan = new Scan();
  scan.addColumn(FAMILY_NAME, COLUMN_PREV);
  scan.setCaching(10000);
  scan.setCacheBlocks(false);
  String[] split = labels.split(COMMA);

  scan.setAuthorizations(new Authorizations(split[this.labelIndex * 2],
      split[(this.labelIndex * 2) + 1]));

  TableMapReduceUtil.initTableMapperJob(tableName.getName(), scan, VerifyMapper.class,
      BytesWritable.class, BytesWritable.class, job);
  TableMapReduceUtil.addDependencyJars(job.getConfiguration(), AbstractHBaseTool.class);

  job.getConfiguration().setBoolean("mapreduce.map.speculative", false);

  job.setReducerClass(VerifyReducer.class);
  job.setOutputFormatClass(TextOutputFormat.class);
  TextOutputFormat.setOutputPath(job, outputDir);
  boolean success = job.waitForCompletion(true);

  return success ? 0 : 1;
}
 

static void configureIncrementalLoad(Job job, HTableDescriptor tableDescriptor, RegionLocator regionLocator,
        Class<? extends OutputFormat<?, ?>> cls) throws IOException, UnsupportedEncodingException {
    Configuration conf = job.getConfiguration();
    job.setOutputKeyClass(ImmutableBytesWritable.class);
    job.setOutputValueClass(KeyValue.class);
    job.setOutputFormatClass(cls);

    // Based on the configured map output class, set the correct reducer to properly
    // sort the incoming values.
    // TODO it would be nice to pick one or the other of these formats.
    if (KeyValue.class.equals(job.getMapOutputValueClass())) {
        job.setReducerClass(KeyValueSortReducer.class);
    } else if (Put.class.equals(job.getMapOutputValueClass())) {
        job.setReducerClass(PutSortReducer.class);
    } else if (Text.class.equals(job.getMapOutputValueClass())) {
        job.setReducerClass(TextSortReducer.class);
    } else {
        LOG.warn("Unknown map output value type:" + job.getMapOutputValueClass());
    }

    conf.setStrings("io.serializations", conf.get("io.serializations"), MutationSerialization.class.getName(),
            ResultSerialization.class.getName(), KeyValueSerialization.class.getName());

    // Use table's region boundaries for TOP split points.
    LOG.info("Looking up current regions for table " + tableDescriptor.getTableName());
    List<ImmutableBytesWritable> startKeys = getRegionStartKeys(regionLocator);
    LOG.info("Configuring " + startKeys.size() + " reduce partitions " + "to match current region count");
    job.setNumReduceTasks(startKeys.size());

    configurePartitioner(job, startKeys);
    // Set compression algorithms based on column families
    configureCompression(conf, tableDescriptor);
    configureBloomType(tableDescriptor, conf);
    configureBlockSize(tableDescriptor, conf);
    configureDataBlockEncoding(tableDescriptor, conf);

    TableMapReduceUtil.addDependencyJars(job);
    TableMapReduceUtil.initCredentials(job);
    LOG.info("Incremental table " + regionLocator.getName() + " output configured.");
}
 

/**
   * Write the sequence file.
   *
   * @param args the command-line arguments
   * @return the process exit code
   * @throws Exception if something goes wrong
   */
  public int run(final String[] args) throws Exception {

    Cli cli = Cli.builder().setArgs(args).addOptions(CliCommonOpts.MrIoOpts.values()).build();
    int result = cli.runCmd();

    if (result != 0) {
      return result;
    }

    Path inputPath = new Path(cli.getArgValueAsString(CliCommonOpts.MrIoOpts.INPUT));
    Path outputPath = new Path(cli.getArgValueAsString(CliCommonOpts.MrIoOpts.OUTPUT));

    Configuration conf = super.getConf();

    Job job = new Job(conf);
    job.setJarByClass(SequenceFileProtobufMapReduce.class);
    job.setOutputKeyClass(Text.class);
    job.setOutputValueClass(Stock.class);
    job.setInputFormatClass(SequenceFileInputFormat.class);
    job.setOutputFormatClass(SequenceFileOutputFormat.class);

    job.setMapperClass(PbMapper.class);
    job.setReducerClass(PbReducer.class);

    SequenceFileOutputFormat.setCompressOutput(job, true);
    SequenceFileOutputFormat.setOutputCompressionType(job, SequenceFile.CompressionType.BLOCK);
    SequenceFileOutputFormat.setOutputCompressorClass(job, DefaultCodec.class);

  ProtobufSerialization.register(job.getConfiguration());

  FileInputFormat.setInputPaths(job, inputPath);
  FileOutputFormat.setOutputPath(job, outputPath);

  if (job.waitForCompletion(true)) {
    return 0;
  }
  return 1;
}
 

public static void main( String[] args ) throws IOException, ClassNotFoundException, InterruptedException
  {
  	Configuration conf = new Configuration();	
  	String[] otherArgs = new GenericOptionsParser(conf, args).getRemainingArgs();
StringBuilder sb = new StringBuilder();
  	for (int j = 2; j < otherArgs.length; j++) {
	
  		sb.append(otherArgs[j]);
}
  	
  	LOGGER.debug("Arguments[ " + otherArgs.length+"]"+"and values respectively ["+otherArgs[0]+"], "+
		otherArgs[1]+", ["+otherArgs[2]+"]"+", ["+otherArgs[3]+"],"+
		otherArgs[4]);

String inputpath = otherArgs[0];
String outputpath = "/tmp/jumbune/dvjsonreport"+  new Date().getTime();

String json = otherArgs[1];
String nullCondition = otherArgs[2];
String regex = otherArgs[3];
String dvDir = otherArgs[4];



if(regex.isEmpty()){
	conf.set(JsonDataVaildationConstants.REGEX_ARGUMENT, "");
}else{
	conf.set(JsonDataVaildationConstants.REGEX_ARGUMENT, regex);
}

if(nullCondition.isEmpty()){
	conf.set(JsonDataVaildationConstants.NULL_ARGUMENT, "");
}else{
	conf.set(JsonDataVaildationConstants.NULL_ARGUMENT, nullCondition);
}


conf.set(JsonDataVaildationConstants.SLAVE_DIR, dvDir);
conf.set(JsonDataVaildationConstants.JSON_ARGUMENT, json);
FileSystem fs = FileSystem.get(conf);

@SuppressWarnings("deprecation")
Job job = new Job(conf, "JSONDataValidation");
job.setJarByClass(JsonDataValidationExecutor.class);

job.setInputFormatClass(JsonFileInputFormat.class);

job.setMapperClass(JsonDataValidationMapper.class);
job.setPartitionerClass(JsonDataValidationPartitioner.class);
job.setReducerClass(JsonDataValidationReducer.class);
job.setNumReduceTasks(5);

job.setMapOutputKeyClass(Text.class);
job.setMapOutputValueClass(FileKeyViolationBean.class);

job.setOutputKeyClass(Text.class);
job.setOutputValueClass(TotalReducerViolationBean.class);
	
job.setOutputFormatClass(SequenceFileOutputFormat.class);

  	Path[] inputPaths = FileUtil.getAllJsonNestedFilePath(job, inputpath);

FileInputFormat.setInputPaths(job, inputPaths);
FileOutputFormat.setOutputPath(job, new Path(outputpath));
		
if(fs.exists(new Path(outputpath)))
{
	fs.delete(new Path(outputpath), true);
}

job.waitForCompletion(true);	

 Map<String, JsonViolationReport> jsonMap = readDataFromHdfs(conf,outputpath);
 final Gson gson= new Gson();
 final String jsonReport = gson.toJson(jsonMap);

 LOGGER.info("Completed DataValidation");
 LOGGER.info(JsonDataVaildationConstants.JSON_DV_REPORT + jsonReport);
  }
 

@Override
public int run(String[] args)
        throws Exception
{
    Job job = Job.getInstance(getConf());

    job.setJarByClass(Phase4RemoveDuplicatesUsingReduceSideJoins.class);
    job.setJobName(Phase4RemoveDuplicatesUsingReduceSideJoins.class.getName());

    // paths
    // text files of ids to be deleted
    String textFilePath = args[0];
    // corpus with *.warc.gz
    String commaSeparatedInputFiles = args[1];
    // output
    String outputPath = args[2];

    //second input the look up text file
    MultipleInputs.addInputPath(job, new Path(textFilePath), TextInputFormat.class,
            JoinTextMapper.class);
    //first input the data set (check comma separated availability)
    MultipleInputs.addInputPath(job, new Path(commaSeparatedInputFiles), WARCInputFormat.class,
            JoinWARCMapper.class);

    job.setPartitionerClass(SourceJoiningKeyPartitioner.class);
    job.setGroupingComparatorClass(SourceJoiningGroupingComparator.class);

    job.setMapOutputKeyClass(CompositeKey.class);
    job.setMapOutputValueClass(WARCWritable.class);

    job.setReducerClass(JoinReducer.class);

    job.setOutputFormatClass(WARCOutputFormat.class);
    job.setOutputKeyClass(NullWritable.class);
    job.setOutputValueClass(WARCWritable.class);
    FileOutputFormat.setOutputPath(job, new Path(outputPath));
    FileOutputFormat.setCompressOutput(job, true);
    FileOutputFormat.setOutputCompressorClass(job, GzipCodec.class);

    return job.waitForCompletion(true) ? 0 : 1;
}
 

@Override
public int run(CommandLine cmd) throws Exception {
    String source = cmd.getOptionValue('s');
    String target = cmd.getOptionValue('t');
    String targetGraph = cmd.getOptionValue('g');
    String graphContext = cmd.getOptionValue('c');
    String thresh = cmd.getOptionValue('r');
    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());
    Job job = Job.getInstance(getConf(), "HalyardStats " + source + (target == null ? " update" : " -> " + target));
    job.getConfiguration().set(SOURCE, source);
    if (target != null) job.getConfiguration().set(TARGET, target);
    if (targetGraph != null) job.getConfiguration().set(TARGET_GRAPH, targetGraph);
    if (graphContext != null) job.getConfiguration().set(GRAPH_CONTEXT, graphContext);
    if (thresh != null) job.getConfiguration().setLong(THRESHOLD, Long.parseLong(thresh));
    job.setJarByClass(HalyardStats.class);
    TableMapReduceUtil.initCredentials(job);

    Scan scan = HalyardTableUtils.scan(null, null);
    if (graphContext != null) { //restricting stats to scan given graph context only
        List<RowRange> ranges = new ArrayList<>();
        byte[] gcHash = HalyardTableUtils.hashKey(SimpleValueFactory.getInstance().createIRI(graphContext));
        ranges.add(rowRange(HalyardTableUtils.CSPO_PREFIX, gcHash));
        ranges.add(rowRange(HalyardTableUtils.CPOS_PREFIX, gcHash));
        ranges.add(rowRange(HalyardTableUtils.COSP_PREFIX, gcHash));
        if (target == null) { //add stats context to the scanned row ranges (when in update mode) to delete the related stats during MapReduce
            ranges.add(rowRange(HalyardTableUtils.CSPO_PREFIX, HalyardTableUtils.hashKey(targetGraph == null ? HALYARD.STATS_GRAPH_CONTEXT : SimpleValueFactory.getInstance().createIRI(targetGraph))));
        }
        scan.setFilter(new MultiRowRangeFilter(ranges));
    }
    TableMapReduceUtil.initTableMapperJob(
        source,
        scan,
        StatsMapper.class,
        ImmutableBytesWritable.class,
        LongWritable.class,
        job);
    job.setPartitionerClass(StatsPartitioner.class);
    job.setReducerClass(StatsReducer.class);
    job.setOutputFormatClass(NullOutputFormat.class);
    if (job.waitForCompletion(true)) {
        LOG.info("Stats Generation Completed..");
        return 0;
    }
    return -1;
}
 

public void testSnapshotScanMapReduce() throws IOException, InterruptedException, ClassNotFoundException {
  Stopwatch scanOpenTimer = Stopwatch.createUnstarted();
  Stopwatch scanTimer = Stopwatch.createUnstarted();

  Scan scan = getScan();

  String jobName = "testSnapshotScanMapReduce";

  Job job = new Job(conf);
  job.setJobName(jobName);

  job.setJarByClass(getClass());

  TableMapReduceUtil.initTableSnapshotMapperJob(
      this.snapshotName,
      scan,
      MyMapper.class,
      NullWritable.class,
      NullWritable.class,
      job,
      true,
      new Path(restoreDir)
  );

  job.setNumReduceTasks(0);
  job.setOutputKeyClass(NullWritable.class);
  job.setOutputValueClass(NullWritable.class);
  job.setOutputFormatClass(NullOutputFormat.class);

  scanTimer.start();
  job.waitForCompletion(true);
  scanTimer.stop();

  Counters counters = job.getCounters();
  long numRows = counters.findCounter(ScanCounter.NUM_ROWS).getValue();
  long numCells = counters.findCounter(ScanCounter.NUM_CELLS).getValue();

  long totalBytes = counters.findCounter(HBASE_COUNTER_GROUP_NAME, "BYTES_IN_RESULTS").getValue();
  double throughput = (double)totalBytes / scanTimer.elapsed(TimeUnit.SECONDS);
  double throughputRows = (double)numRows / scanTimer.elapsed(TimeUnit.SECONDS);
  double throughputCells = (double)numCells / scanTimer.elapsed(TimeUnit.SECONDS);

  System.out.println("HBase scan mapreduce: ");
  System.out.println("total time to open scanner: " +
    scanOpenTimer.elapsed(TimeUnit.MILLISECONDS) + " ms");
  System.out.println("total time to scan: " + scanTimer.elapsed(TimeUnit.MILLISECONDS) + " ms");

  System.out.println("total bytes: " + totalBytes + " bytes ("
      + StringUtils.humanReadableInt(totalBytes) + ")");
  System.out.println("throughput  : " + StringUtils.humanReadableInt((long)throughput) + "B/s");
  System.out.println("total rows  : " + numRows);
  System.out.println("throughput  : " + StringUtils.humanReadableInt((long)throughputRows) + " rows/s");
  System.out.println("total cells : " + numCells);
  System.out.println("throughput  : " + StringUtils.humanReadableInt((long)throughputCells) + " cells/s");
}
 

public int run(String[] args) throws Exception {
  if (args.length < 3) {
    System.out.println("usage: DomainStatistics inputDirs outDir host|domain|suffix|tld [numOfReducer]");
    return 1;
  }
  String inputDir = args[0];
  String outputDir = args[1];
  int numOfReducers = 1;

  if (args.length > 3) {
    numOfReducers = Integer.parseInt(args[3]);
  }

  SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
  long start = System.currentTimeMillis();
  LOG.info("DomainStatistics: starting at " + sdf.format(start));

  int mode = 0;
  String jobName = "DomainStatistics";
  if(args[2].equals("host")) {
    jobName = "Host statistics";
    mode = MODE_HOST;
  } else if(args[2].equals("domain")) {
    jobName  = "Domain statistics";
    mode = MODE_DOMAIN;
  } else if(args[2].equals("suffix")) {
    jobName = "Suffix statistics";
    mode = MODE_SUFFIX;
  } else if(args[2].equals("tld")) {
    jobName = "TLD statistics";
    mode = MODE_TLD;
  }

  Configuration conf = getConf();
  conf.setInt("domain.statistics.mode", mode);
  conf.setBoolean("mapreduce.fileoutputcommitter.marksuccessfuljobs", false);

  Job job = new Job(conf, jobName);
  job.setJarByClass(DomainStatistics.class);

  String[] inputDirsSpecs = inputDir.split(",");
  for (int i = 0; i < inputDirsSpecs.length; i++) {
    FileInputFormat.addInputPath(job, new Path(inputDirsSpecs[i]));
  }

  job.setInputFormatClass(SequenceFileInputFormat.class);
  FileOutputFormat.setOutputPath(job, new Path(outputDir));
  job.setOutputFormatClass(TextOutputFormat.class);

  job.setMapOutputKeyClass(Text.class);
  job.setMapOutputValueClass(LongWritable.class);
  job.setOutputKeyClass(Text.class);
  job.setOutputValueClass(LongWritable.class);

  job.setMapperClass(DomainStatisticsMapper.class);
  job.setReducerClass(DomainStatisticsReducer.class);
  job.setCombinerClass(DomainStatisticsCombiner.class);
  job.setNumReduceTasks(numOfReducers);

  try {
    job.waitForCompletion(true);
  } catch (Exception e) {
    throw e;
  }

  long end = System.currentTimeMillis();
  LOG.info("DomainStatistics: finished at " + sdf.format(end) + ", elapsed: " + TimingUtil.elapsedTime(start, end));
  return 0;
}
 

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);
}
 

@Override
public int run(final String[] args) throws Exception {

  final Configuration conf = getConf();
  final AccumuloRequiredOptions accumuloOptions =
      (AccumuloRequiredOptions) inputStoreOptions.getFactoryOptions();

  // job settings

  final Job job = Job.getInstance(conf, ingestOptions.getJobName() + "NodeConversion");
  job.setJarByClass(OSMConversionRunner.class);

  job.getConfiguration().set("osm_mapping", ingestOptions.getMappingContents());
  job.getConfiguration().set("arguments", ingestOptions.serializeToString());

  if (ingestOptions.getVisibilityOptions().getVisibility() != null) {
    job.getConfiguration().set(
        AbstractMapReduceIngest.GLOBAL_VISIBILITY_KEY,
        ingestOptions.getVisibilityOptions().getVisibility());
  }

  // input format

  AbstractInputFormat.setConnectorInfo(
      job,
      accumuloOptions.getUser(),
      new PasswordToken(accumuloOptions.getPassword()));
  InputFormatBase.setInputTableName(job, ingestOptions.getQualifiedTableName());
  AbstractInputFormat.setZooKeeperInstance(
      job,
      new ClientConfiguration().withInstance(accumuloOptions.getInstance()).withZkHosts(
          accumuloOptions.getZookeeper()));
  AbstractInputFormat.setScanAuthorizations(
      job,
      new Authorizations(ingestOptions.getVisibilityOptions().getVisibility()));

  final IteratorSetting is = new IteratorSetting(50, "WholeRow", WholeRowIterator.class);
  InputFormatBase.addIterator(job, is);
  job.setInputFormatClass(AccumuloInputFormat.class);
  final Range r = new Range();
  // final ArrayList<Pair<Text, Text>> columns = new ArrayList<>();
  InputFormatBase.setRanges(job, Arrays.asList(r));

  // output format
  GeoWaveOutputFormat.setStoreOptions(job.getConfiguration(), inputStoreOptions);
  final AccumuloOptions options = new AccumuloOptions();
  final AdapterStore as =
      new AdapterStoreImpl(
          new AccumuloOperations(
              accumuloOptions.getZookeeper(),
              accumuloOptions.getInstance(),
              accumuloOptions.getUser(),
              accumuloOptions.getPassword(),
              accumuloOptions.getGeoWaveNamespace(),
              options),
          options);
  for (final FeatureDataAdapter fda : FeatureDefinitionSet.featureAdapters.values()) {
    as.addAdapter(fda);
    GeoWaveOutputFormat.addDataAdapter(job.getConfiguration(), fda);
  }

  final Index primaryIndex =
      new SpatialDimensionalityTypeProvider().createIndex(new SpatialOptions());
  GeoWaveOutputFormat.addIndex(job.getConfiguration(), primaryIndex);
  job.getConfiguration().set(AbstractMapReduceIngest.INDEX_NAMES_KEY, primaryIndex.getName());

  job.setOutputFormatClass(GeoWaveOutputFormat.class);
  job.setMapOutputKeyClass(GeoWaveOutputKey.class);
  job.setMapOutputValueClass(SimpleFeature.class);

  // mappper

  job.setMapperClass(OSMConversionMapper.class);

  // reducer
  job.setNumReduceTasks(0);

  return job.waitForCompletion(true) ? 0 : -1;
}