Example usage for org.apache.hadoop.mapreduce Job setOutputKeyClass

Introduction

In this page you can find the example usage for org.apache.hadoop.mapreduce Job setOutputKeyClass.

Prototype

public void setOutputKeyClass(Class<?> theClass) throws IllegalStateException 

Source Link

Document

Set the key class for the job output data.

Usage

From source file:bigsidemodel.AutoCoder.java

License:Apache License

/**
 * Runs this tool./*from w  w  w .  j  a v a 2  s  . c o  m*/
 */
@SuppressWarnings({ "static-access" })
public int run(String[] args) throws Exception {
    Options options = new Options();

    options.addOption(OptionBuilder.withArgName("path").hasArg().withDescription("input path").create(INPUT));
    options.addOption(OptionBuilder.withArgName("path").hasArg().withDescription("output path").create(OUTPUT));
    options.addOption(OptionBuilder.withArgName("num").hasArg().withDescription("number of reducers")
            .create(NUM_REDUCERS));

    CommandLine cmdline;
    CommandLineParser parser = new GnuParser();

    try {
        cmdline = parser.parse(options, args);
    } catch (ParseException exp) {
        System.err.println("Error parsing command line: " + exp.getMessage());
        return -1;
    }

    /*if (!cmdline.hasOption(INPUT) || !cmdline.hasOption(OUTPUT)) {
       System.out.println("args: " + Arrays.toString(args));
       HelpFormatter formatter = new HelpFormatter();
       formatter.setWidth(120);
       formatter.printHelp(this.getClass().getName(), options);
       ToolRunner.printGenericCommandUsage(System.out);
       return -1;
    }*/

    //String inputPath = cmdline.getOptionValue(INPUT);
    //String outputPath = cmdline.getOptionValue(OUTPUT);

    String inputPath = "qiwang321/best5-mingled-key-56x56/part*";
    String outputPath = "shangfu/bigoutput";
    int reduceTasks = cmdline.hasOption(NUM_REDUCERS) ? Integer.parseInt(cmdline.getOptionValue(NUM_REDUCERS))
            : 1;

    LOG.info("Tool: " + AutoCoder.class.getSimpleName());
    LOG.info(" - input path: " + inputPath);
    LOG.info(" - output path: " + outputPath + "0");
    LOG.info(" - number of reducers: " + reduceTasks);
    Configuration conf = getConf();
    conf.setInt("num_reduce_task", reduceTasks);
    conf.set("sidepath", outputPath + "_side/");

    Job job0 = Job.getInstance(conf);
    job0.setJobName(AutoCoder.class.getSimpleName());
    job0.setJarByClass(AutoCoder.class);
    // set the path of the information of k clusters in this iteration
    job0.setNumReduceTasks(reduceTasks);

    FileInputFormat.setInputPaths(job0, new Path(inputPath));
    FileOutputFormat.setOutputPath(job0, new Path(outputPath + "0"));

    job0.setInputFormatClass(KeyValueTextInputFormat.class);
    job0.setOutputFormatClass(SequenceFileOutputFormat.class);

    job0.setMapOutputKeyClass(PairOfInts.class);
    job0.setMapOutputValueClass(DataNode.class);
    job0.setOutputKeyClass(PairOfInts.class);
    job0.setOutputValueClass(DataNode.class);

    job0.setMapperClass(MyMapper0.class);
    job0.setReducerClass(MyReducer0.class);
    job0.setPartitionerClass(MyPartitioner.class);

    // Delete the output directory if it exists already.
    Path outputDir = new Path(outputPath + "0");
    FileSystem.get(getConf()).delete(outputDir, true);

    long codeStart = System.currentTimeMillis();
    double jobTimeSum = 0;

    long startTime = System.currentTimeMillis();
    job0.waitForCompletion(true);
    LOG.info("Job Finished in " + (System.currentTimeMillis() - startTime) / 1000.0 + " seconds");
    jobTimeSum += (System.currentTimeMillis() - startTime) / 1000.0;

    //======= Job 1
    LOG.info("Tool: " + AutoCoder.class.getSimpleName());
    LOG.info(" - input path: " + outputPath + "0");
    LOG.info(" - output path: " + outputPath + "1");
    LOG.info(" - number of reducers: " + 1);
    int nModel = reduceTasks;
    reduceTasks = 1;

    Job job1 = Job.getInstance(conf);
    job1.setJobName(AutoCoder.class.getSimpleName());
    job1.setJarByClass(AutoCoder.class);
    // set the path of the information of k clusters in this iteration
    job1.setNumReduceTasks(reduceTasks);

    FileInputFormat.setInputPaths(job1, new Path(outputPath + "0"));
    FileOutputFormat.setOutputPath(job1, new Path(outputPath + "1"));

    job1.setInputFormatClass(SequenceFileInputFormat.class);
    job1.setOutputFormatClass(SequenceFileOutputFormat.class);

    job1.setMapOutputKeyClass(PairOfInts.class);
    job1.setMapOutputValueClass(DataNode.class);
    job1.setOutputKeyClass(NullWritable.class);
    job1.setOutputValueClass(NullWritable.class);

    job1.setMapperClass(MyMapper1.class);
    job1.setReducerClass(MyReducer1.class);
    job1.setPartitionerClass(MyPartitioner.class);

    // Delete the output directory if it exists already.
    outputDir = new Path(outputPath + "1");
    FileSystem.get(getConf()).delete(outputDir, true);

    startTime = System.currentTimeMillis();
    job1.waitForCompletion(true);
    LOG.info("Job Finished in " + (System.currentTimeMillis() - startTime) / 1000.0 + " seconds");
    jobTimeSum += (System.currentTimeMillis() - startTime) / 1000.0;
    LOG.info("Final Time: " + ((System.currentTimeMillis() - codeStart) / 1000.0) + " seconds,  " + jobTimeSum
            + " seconds.");

    return 0;
}

---

From source file:boa.runtime.BoaRunner.java

License:Apache License

/**
 * Create a {@link Job} describing the work to be done by this Boa job.
 * //w ww .j a va2 s  .  c  o m
 * @param ins
 *            An array of {@link Path} containing the locations of the input
 *            files
 * 
 * @param out
 *            A {@link Path} containing the location of the output file
 * 
 * @param robust
 *            A boolean representing whether the job should ignore most
 *            exceptions
 * 
 * @return A {@link Job} describing the work to be done by this Boa job
 * @throws IOException
 */
public Job job(final Path[] ins, final Path out, final boolean robust) throws IOException {
    final Configuration configuration = getConf();

    configuration.setBoolean("boa.runtime.robust", robust);

    // faster local reads
    configuration.setBoolean("dfs.client.read.shortcircuit", true);
    configuration.setBoolean("dfs.client.read.shortcircuit.skip.checksum", true);

    // by default our MapFile's index every key, which takes up
    // a lot of memory - this lets you skip keys in the index and
    // control the memory requirements (as a tradeoff of slower gets)
    //configuration.setLong("io.map.index.skip", 128);

    // map output compression
    configuration.setBoolean("mapred.compress.map.output", true);
    configuration.set("mapred.map.output.compression.type", "BLOCK");
    configuration.setClass("mapred.map.output.compression.codec", SnappyCodec.class, CompressionCodec.class);

    configuration.setBoolean("mapred.map.tasks.speculative.execution", false);
    configuration.setBoolean("mapred.reduce.tasks.speculative.execution", false);
    configuration.setLong("mapred.job.reuse.jvm.num.tasks", -1);

    final Job job = new Job(configuration);

    if (ins != null)
        for (final Path in : ins)
            FileInputFormat.addInputPath(job, in);
    FileOutputFormat.setOutputPath(job, out);

    job.setPartitionerClass(BoaPartitioner.class);

    job.setMapOutputKeyClass(EmitKey.class);
    job.setMapOutputValueClass(EmitValue.class);

    job.setOutputFormatClass(BoaOutputFormat.class);
    job.setOutputKeyClass(Text.class);
    job.setOutputValueClass(NullWritable.class);

    return job;
}

---

From source file:boostingPL.driver.AdaBoostPLDriver.java

License:Open Source License

@Override
public int run(String[] args) throws Exception {
    int status = commandAnalysis(args);
    if (status != 0) {
        return status;
    }// w  w  w. j a v a2 s  .c om

    @SuppressWarnings("deprecation")
    Job job = new Job(getConf());
    job.setJobName("AdaBoostPL:" + runModel + " " + dataPath.toString() + " " + modelPath.toString() + " "
            + numLinesPerMap + " " + numIterations);
    job.setJarByClass(AdaBoostPLDriver.class);

    job.setInputFormatClass(NLineInputFormat.class);
    NLineInputFormat.addInputPath(job, dataPath);
    NLineInputFormat.setNumLinesPerSplit(job, numLinesPerMap);

    if (runModel.equals("train")) {
        job.setMapperClass(AdaBoostPLMapper.class);

        job.setMapOutputKeyClass(IntWritable.class);
        job.setMapOutputValueClass(ClassifierWritable.class);
        job.setOutputKeyClass(IntWritable.class);
        job.setOutputValueClass(ClassifierWritable.class);

        job.setOutputFormatClass(SequenceFileOutputFormat.class);
        SequenceFileOutputFormat.setOutputPath(job, modelPath);
    } else {
        job.setMapperClass(AdaBoostPLTestMapper.class);
        job.setReducerClass(AdaBoostPLTestReducer.class);
        job.setOutputFormatClass(NullOutputFormat.class);

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

    Configuration conf = job.getConfiguration();
    conf.set("BoostingPL.boostingName", "AdaBoost");
    conf.set("BoostingPL.numIterations", String.valueOf(numIterations));
    conf.set("BoostingPL.modelPath", modelPath.toString());
    if (metadataPath == null) {
        conf.set("BoostingPL.metadata", dataPath.toString() + ".metadata");
    } else {
        conf.set("BoostingPL.metadata", metadataPath.toString());
    }
    if (outputFolder != null) {
        conf.set("BoostingPL.outputFolder", outputFolder.toString());
    }

    LOG.info(StringUtils.arrayToString(args));
    return job.waitForCompletion(true) == true ? 0 : -1;
}

---

From source file:boostingPL.driver.SAMMEPLDriver.java

License:Open Source License

@Override
public int run(String[] args) throws Exception {
    int status = commandAnalysis(args);
    if (status != 0) {
        return status;
    }//  w ww. j a v a 2s .c  o m

    @SuppressWarnings("deprecation")
    Job job = new Job(getConf());
    job.setJobName("SAMMEPL:" + runModel + " " + dataPath.toString() + " " + modelPath.toString() + " "
            + numLinesPerMap + " " + numIterations);
    job.setJarByClass(SAMMEPLDriver.class);

    job.setInputFormatClass(NLineInputFormat.class);
    NLineInputFormat.addInputPath(job, dataPath);
    NLineInputFormat.setNumLinesPerSplit(job, numLinesPerMap);
    FileSystem fs = modelPath.getFileSystem(getConf());
    if (fs.exists(modelPath)) {
        fs.delete(modelPath, true);
    }
    job.setOutputFormatClass(SequenceFileOutputFormat.class);
    SequenceFileOutputFormat.setOutputPath(job, modelPath);

    if (runModel.equals("train")) {
        job.setMapperClass(AdaBoostPLMapper.class);

        job.setMapOutputKeyClass(IntWritable.class);
        job.setMapOutputValueClass(ClassifierWritable.class);
        job.setOutputKeyClass(IntWritable.class);
        job.setOutputValueClass(ClassifierWritable.class);
    } else {
        job.setMapperClass(AdaBoostPLTestMapper.class);
        job.setReducerClass(AdaBoostPLTestReducer.class);
        job.setOutputFormatClass(NullOutputFormat.class);

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

    Configuration conf = job.getConfiguration();
    conf.set("BoostingPL.boostingName", "SAMME");
    conf.set("BoostingPL.numIterations", String.valueOf(numIterations));
    conf.set("BoostingPL.modelPath", modelPath.toString());
    if (metadataPath == null) {
        conf.set("BoostingPL.metadata", dataPath.toString() + ".metadata");
    } else {
        conf.set("BoostingPL.metadata", metadataPath.toString());
    }
    if (outputFolder != null) {
        conf.set("BoostingPL.outputFolder", outputFolder.toString());
    }

    LOG.info(StringUtils.arrayToString(args));
    return job.waitForCompletion(true) == true ? 0 : -1;
}

---

From source file:br.com.lassal.nqueens.grid.job.NQueenCounter.java

/**
 * Forma de chamada//from   w ww .j  a v a  2s  .  c o m
 * <> {numero de rainhas} {diretorio raiz} -F
 *
 * @param strings
 * @return
 * @throws Exception
 */
public int run(String[] args) throws Exception {
    // Configuration processed by ToolRunner
    Configuration conf = getConf();

    // Create a JobConf using the processed conf
    Job job = new Job(conf, "nqueens-counter");
    job.setJarByClass(NQueenCounter.class);

    int queensNumber = Integer.parseInt(args[0]);
    String workingFolder = args.length >= 2 ? args[1] : null;
    boolean isFinal = args.length >= 3 && "-F".equals(args[2]) ? true : false;

    Path sourcePath = this.setWorkingFolder(queensNumber, workingFolder, isFinal, job);
    job.setOutputKeyClass(org.apache.hadoop.io.Text.class);
    job.setOutputValueClass(org.apache.hadoop.io.Text.class);

    if (isFinal) {
        job.setMapperClass(br.com.lassal.nqueens.grid.mapreduce.NQueenIncrementalCounterResultMapper.class);
        job.setReducerClass(br.com.lassal.nqueens.grid.mapreduce.NQueenIncrementalCounterResultReducer.class);
    } else {
        job.setMapperClass(br.com.lassal.nqueens.grid.mapreduce.NQueenIncrementalCounterMapper.class);
        job.setReducerClass(br.com.lassal.nqueens.grid.mapreduce.NQueenIncrementalCounterReducer.class);
    }

    // Submit the job, then poll for progress until the job is complete
    boolean result = job.waitForCompletion(true);

    if (sourcePath != null) {
        FileSystem fs = FileSystem.get(conf);
        fs.delete(sourcePath, true);
    }

    return result ? 0 : 1;

}

---

From source file:br.ufpr.inf.hpath.HPath.java

License:Apache License

/**
 * Execute the XPath query as a Hadoop job
 * @param xpath_query XPath query submitted by the user via cli.
 * @param inputFile XML file which has all data.
 * @param outputFile Query's result is stored in this file. 
 * @throws Exception/*from  w  ww .  j  a v  a2  s .c  o m*/
 */
public static void main(String[] args) throws Exception {

    if (args.length < 1) {
        System.out.println("USAGE: hpath [xpath_query] [input_file] [<output_dir>]");
        System.exit(-1);
    }

    System.out.println("***************");
    System.out.println(" Query  -> " + args[2]);
    System.out.println(" Input  -> " + args[0]);
    System.out.println(" Output -> " + args[1]);
    System.out.println("***************");

    String xpath_query = args[2];
    String inputFile = args[0];
    String outputFile = args[1];
    String tag = "";

    // tag = getFisrtQueryTag(xpath_query);
    tag = getLastQueryTag(xpath_query);
    Configuration conf = new Configuration();
    conf.set("xmlinput.start", "<" + tag);
    conf.set("xmlinput.end", "</" + tag + ">");
    conf.set("xpath.query", xpath_query);

    @SuppressWarnings("deprecation")
    Job job = new Job(conf, "HPath");
    FileSystem fs = FileSystem.get(conf);
    Path inFile = new Path(inputFile);
    Path outFile = new Path(outputFile);

    if (!fs.exists(inFile)) {
        System.out.println("error: Input file not found.");
        System.exit(-1);
    }
    if (!fs.isFile(inFile)) {
        System.out.println("error: Input should be a file.");
        System.exit(-1);
    }
    if (fs.exists(outFile)) {
        System.out.println("error: Output already exists.");
        System.exit(-1);
    }

    job.setJarByClass(HPath.class);

    job.setMapperClass(Map.class);
    job.setReducerClass(Reduce.class);

    job.setInputFormatClass(XmlItemInputFormat.class);

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

    FileInputFormat.addInputPath(job, inFile);
    FileOutputFormat.setOutputPath(job, outFile);
    job.waitForCompletion(true);
}

---

From source file:Business.MapReduceOne.java

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

    Configuration conf = getConf();
    Job job = new Job(conf, "FirstJob");
    job.setJarByClass(MapReduceOne.class);

    final File f = new File(MapReduceOne.class.getProtectionDomain().getCodeSource().getLocation().getPath());
    String inFiles = f.getAbsolutePath().replace("/build/classes", "") + "/src/inFiles/";
    String outFiles = f.getAbsolutePath().replace("/build/classes", "") + "/src/outFiles/OutputOne";
    //use the arguments instead if provided.
    if (args.length > 1) {
        inFiles = args[1];// w w w.j  a  v  a  2  s  . c o m
        outFiles = args[2];
    }
    Path in = new Path(inFiles);
    Path out = new Path(outFiles);
    FileInputFormat.setInputPaths(job, in);
    FileOutputFormat.setOutputPath(job, out);

    job.setMapperClass(Mapper1.class);
    job.setCombinerClass(Reducer1.class);
    job.setReducerClass(Reducer1.class);

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

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

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

---

From source file:ca.uwaterloo.cs.bigdata2017w.assignment0.PerfectX.java

License:Apache License

/**
 * Runs this tool./*from   w  w  w .  java2  s. c o  m*/
 */
@Override
public int run(String[] argv) throws Exception {
    final Args args = new Args();
    CmdLineParser parser = new CmdLineParser(args, ParserProperties.defaults().withUsageWidth(100));

    try {
        parser.parseArgument(argv);
    } catch (CmdLineException e) {
        System.err.println(e.getMessage());
        parser.printUsage(System.err);
        return -1;
    }

    LOG.info("Tool: " + PerfectX.class.getSimpleName());
    LOG.info(" - input path: " + args.input);
    LOG.info(" - output path: " + args.output);
    LOG.info(" - number of reducers: " + args.numReducers);
    LOG.info(" - use in-mapper combining: " + args.imc);

    Configuration conf = getConf();
    Job job = Job.getInstance(conf);
    job.setJobName(PerfectX.class.getSimpleName());
    job.setJarByClass(PerfectX.class);

    job.setNumReduceTasks(args.numReducers);

    FileInputFormat.setInputPaths(job, new Path(args.input));
    FileOutputFormat.setOutputPath(job, new Path(args.output));

    job.setMapOutputKeyClass(Text.class);
    job.setMapOutputValueClass(IntWritable.class);
    job.setOutputKeyClass(Text.class);
    job.setOutputValueClass(IntWritable.class);
    job.setOutputFormatClass(TextOutputFormat.class);

    job.setMapperClass(args.imc ? MyMapperIMC.class : MyMapper.class);
    job.setCombinerClass(MyReducer.class);
    job.setReducerClass(MyReducer.class);

    // Delete the output directory if it exists already.
    Path outputDir = new Path(args.output);
    FileSystem.get(conf).delete(outputDir, true);

    long startTime = System.currentTimeMillis();
    job.waitForCompletion(true);
    LOG.info("Job Finished in " + (System.currentTimeMillis() - startTime) / 1000.0 + " seconds");

    return 0;
}

---

From source file:ca.uwaterloo.cs.bigdata2017w.assignment0.WordCount.java

License:Apache License

/**
 * Runs this tool./*from  w ww .j  av  a2s  .co  m*/
 */
@Override
public int run(String[] argv) throws Exception {
    final Args args = new Args();
    CmdLineParser parser = new CmdLineParser(args, ParserProperties.defaults().withUsageWidth(100));

    try {
        parser.parseArgument(argv);
    } catch (CmdLineException e) {
        System.err.println(e.getMessage());
        parser.printUsage(System.err);
        return -1;
    }

    LOG.info("Tool: " + WordCount.class.getSimpleName());
    LOG.info(" - input path: " + args.input);
    LOG.info(" - output path: " + args.output);
    LOG.info(" - number of reducers: " + args.numReducers);
    LOG.info(" - use in-mapper combining: " + args.imc);

    Configuration conf = getConf();
    Job job = Job.getInstance(conf);
    job.setJobName(WordCount.class.getSimpleName());
    job.setJarByClass(WordCount.class);

    job.setNumReduceTasks(args.numReducers);

    FileInputFormat.setInputPaths(job, new Path(args.input));
    FileOutputFormat.setOutputPath(job, new Path(args.output));

    job.setMapOutputKeyClass(Text.class);
    job.setMapOutputValueClass(IntWritable.class);
    job.setOutputKeyClass(Text.class);
    job.setOutputValueClass(IntWritable.class);
    job.setOutputFormatClass(TextOutputFormat.class);

    job.setMapperClass(args.imc ? MyMapperIMC.class : MyMapper.class);
    job.setCombinerClass(MyReducer.class);
    job.setReducerClass(MyReducer.class);

    // Delete the output directory if it exists already.
    Path outputDir = new Path(args.output);
    FileSystem.get(conf).delete(outputDir, true);

    long startTime = System.currentTimeMillis();
    job.waitForCompletion(true);
    LOG.info("Job Finished in " + (System.currentTimeMillis() - startTime) / 1000.0 + " seconds");

    return 0;
}

---

From source file:ca.uwaterloo.cs.bigdata2017w.assignment4.BuildPersonalizedPageRankRecords.java

License:Apache License

/**
 * Runs this tool.//from   ww w.  ja  v a 2 s  .  c  o  m
 */
@SuppressWarnings({ "static-access" })
public int run(String[] args) throws Exception {
    Options options = new Options();

    options.addOption(OptionBuilder.withArgName("path").hasArg().withDescription("input path").create(INPUT));
    options.addOption(OptionBuilder.withArgName("path").hasArg().withDescription("output path").create(OUTPUT));
    options.addOption(
            OptionBuilder.withArgName("num").hasArg().withDescription("number of nodes").create(NUM_NODES));
    options.addOption(
            OptionBuilder.withArgName("sources").hasArg().withDescription("source nodes").create(SOURCES));

    CommandLine cmdline;
    CommandLineParser parser = new GnuParser();

    try {
        cmdline = parser.parse(options, args);
    } catch (ParseException exp) {
        System.err.println("Error parsing command line: " + exp.getMessage());
        return -1;
    }

    if (!cmdline.hasOption(INPUT) || !cmdline.hasOption(OUTPUT) || !cmdline.hasOption(NUM_NODES)) {
        System.out.println("args: " + Arrays.toString(args));
        HelpFormatter formatter = new HelpFormatter();
        formatter.setWidth(120);
        formatter.printHelp(this.getClass().getName(), options);
        ToolRunner.printGenericCommandUsage(System.out);
        return -1;
    }

    String inputPath = cmdline.getOptionValue(INPUT);
    String outputPath = cmdline.getOptionValue(OUTPUT);
    int n = Integer.parseInt(cmdline.getOptionValue(NUM_NODES));
    String sourcesString = cmdline.getOptionValue(SOURCES);
    String[] sources = sourcesString.split(",");
    for (int i = 0; i < sources.length; i++) {
        sources[i] = sources[i].trim();
    }

    LOG.info("Tool name: " + BuildPersonalizedPageRankRecords.class.getSimpleName());
    LOG.info(" - inputDir: " + inputPath);
    LOG.info(" - outputDir: " + outputPath);
    LOG.info(" - numNodes: " + n);
    LOG.info(" - use sources: " + sourcesString);

    Configuration conf = getConf();
    conf.setInt(NODE_CNT_FIELD, n);
    conf.setInt("mapred.min.split.size", 1024 * 1024 * 1024);
    conf.setStrings(SOURCES, sources);

    Job job = Job.getInstance(conf);
    job.setJobName(BuildPersonalizedPageRankRecords.class.getSimpleName() + ":" + inputPath);
    job.setJarByClass(BuildPersonalizedPageRankRecords.class);

    job.setNumReduceTasks(0);

    FileInputFormat.addInputPath(job, new Path(inputPath));
    FileOutputFormat.setOutputPath(job, new Path(outputPath));

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

    job.setMapOutputKeyClass(IntWritable.class);
    job.setMapOutputValueClass(PageRankNode.class);

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

    job.setMapperClass(MyMapper.class);

    // Delete the output directory if it exists already.
    FileSystem.get(conf).delete(new Path(outputPath), true);

    job.waitForCompletion(true);

    return 0;
}

---

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