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

Introduction

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

Prototype

public void setPartitionerClass(Class<? extends Partitioner> cls) throws IllegalStateException 

Source Link

Document

Set the Partitioner for the job.

Usage

From source file:biglayer.AutoCoder.java

License:Apache License

/**
 * Runs this tool.//w  ww.j  a v  a2 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/MNIST-mingled-key/part*";
    String outputPath = "shangfu/layeroutput";

    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);
    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);
    job0.setNumReduceTasks(reduceTasks);

    job0.getConfiguration().setInt("layer_ind", 0);

    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(ModelNode.class);
    job0.setOutputKeyClass(PairOfInts.class);
    job0.setOutputValueClass(ModelNode.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 startTime = System.currentTimeMillis();
    long codeStart = System.currentTimeMillis();
    double codeTimeSum = 0;
    job0.waitForCompletion(true);
    LOG.info("Job Finished in " + (System.currentTimeMillis() - startTime) / 1000.0 + " seconds");
    codeTimeSum += (System.currentTimeMillis() - startTime) / 1000.0;

    for (int iterations = 1; iterations < GlobalUtil.NUM_LAYER + 1; iterations++) {
        Job job1 = Job.getInstance(conf);
        job1.setJobName(AutoCoder.class.getSimpleName());
        job1.setJarByClass(AutoCoder.class);
        job1.setNumReduceTasks(reduceTasks);
        job1.getConfiguration().setInt("layer_ind", iterations);
        FileInputFormat.setInputPaths(job1, new Path(outputPath + "_" + (iterations - 1)));
        FileOutputFormat.setOutputPath(job1, new Path(outputPath + "_" + iterations + "_train"));

        LOG.info("Tool: " + AutoCoder.class.getSimpleName());
        LOG.info(" - input path: " + outputPath + "_" + (iterations - 1));
        LOG.info(" - output path: " + outputPath + "_" + iterations + "_train");
        LOG.info(" - number of reducers: " + reduceTasks);

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

        job1.setMapOutputKeyClass(PairOfInts.class);
        job1.setMapOutputValueClass(ModelNode.class);
        job1.setOutputKeyClass(PairOfInts.class);
        job1.setOutputValueClass(ModelNode.class);

        job1.setMapperClass(MyMapper.class);
        job1.setReducerClass(MyReducer_Train.class);
        job1.setPartitionerClass(MyPartitioner.class);
        // Delete the output directory if it exists already.
        outputDir = new Path(outputPath + "_" + iterations + "_train");
        FileSystem.get(getConf()).delete(outputDir, true);
        startTime = System.currentTimeMillis();
        job1.waitForCompletion(true);
        LOG.info("Job Finished in " + (System.currentTimeMillis() - startTime) / 1000.0 + " seconds");
        codeTimeSum += (System.currentTimeMillis() - startTime) / 1000.0;

        Job job2 = Job.getInstance(conf);
        job2.setJobName(AutoCoder.class.getSimpleName());
        job2.setJarByClass(AutoCoder.class);
        job2.setNumReduceTasks(reduceTasks);
        job2.getConfiguration().setInt("layer_ind", iterations);
        FileInputFormat.setInputPaths(job2, new Path(outputPath + "_" + (iterations + "_train")));
        FileOutputFormat.setOutputPath(job2, new Path(outputPath + "_" + iterations));

        LOG.info("Tool: " + AutoCoder.class.getSimpleName());
        LOG.info(" - input path: " + outputPath + "_" + iterations + "_train");
        LOG.info(" - output path: " + outputPath + "_" + iterations);
        LOG.info(" - number of reducers: " + reduceTasks);

        job2.setInputFormatClass(SequenceFileInputFormat.class);
        job2.setOutputFormatClass(SequenceFileOutputFormat.class);

        job2.setMapOutputKeyClass(PairOfInts.class);
        job2.setMapOutputValueClass(ModelNode.class);
        job2.setOutputKeyClass(PairOfInts.class);
        job2.setOutputValueClass(ModelNode.class);

        job2.setMapperClass(MyMapper.class);
        job2.setReducerClass(MyReducer_GenData.class);
        job2.setPartitionerClass(MyPartitioner.class);
        // Delete the output directory if it exists already.
        outputDir = new Path(outputPath + "_" + iterations);
        FileSystem.get(getConf()).delete(outputDir, true);
        startTime = System.currentTimeMillis();
        job2.waitForCompletion(true);
        LOG.info("Job Finished in " + (System.currentTimeMillis() - startTime) / 1000.0 + " seconds");
        codeTimeSum += (System.currentTimeMillis() - startTime) / 1000.0;

    }

    LOG.info(" - input path: " + outputPath + "_" + GlobalUtil.NUM_LAYER);
    LOG.info(" - output path: " + outputPath);
    reduceTasks = 1;
    LOG.info(" - number of reducers: " + reduceTasks);

    Job job_super = Job.getInstance(conf);
    job_super.setJobName(AutoCoder.class.getSimpleName());
    job_super.setJarByClass(AutoCoder.class);
    job_super.setNumReduceTasks(reduceTasks);

    FileInputFormat.setInputPaths(job_super, new Path(outputPath + "_" + GlobalUtil.NUM_LAYER));
    FileOutputFormat.setOutputPath(job_super, new Path(outputPath));

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

    job_super.setMapOutputKeyClass(PairOfInts.class);
    job_super.setMapOutputValueClass(ModelNode.class);
    job_super.setOutputKeyClass(NullWritable.class);
    job_super.setOutputValueClass(NullWritable.class);

    job_super.setMapperClass(MyMapper_Super.class);
    job_super.setReducerClass(MyReducer_Super.class);
    job_super.setPartitionerClass(MyPartitioner.class);

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

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

    Log.info("Final Time: " + ((System.currentTimeMillis() - codeStart) / 1000.0) + " seconds,  " + codeTimeSum
            + " seconds.");
    //prepareNextIteration(inputPath0, outputPath,iterations,conf,reduceTasks);

    return 0;
}

---

From source file:bigmodel.AutoCoderLocal.java

License:Apache License

/**
 * Runs this tool./*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) + "/part-r-00000";
    String outputPath = cmdline.getOptionValue(OUTPUT);
    String dataPath = cmdline.getOptionValue(INPUT) + "/common";
    //String inputPath = "/home/qiwang321/mapreduce-data/data/in-mingled1-5/part*";
    //String outputPath = "output";
    //String dataPath = "/home/qiwang321/mapreduce-data/data/in-mingled1-5/common";
    int reduceTasks = cmdline.hasOption(NUM_REDUCERS) ? Integer.parseInt(cmdline.getOptionValue(NUM_REDUCERS))
            : 1;

    LOG.info("Tool: " + AutoCoderLocal.class.getSimpleName());
    LOG.info(" - input path: " + inputPath);
    LOG.info(" - output path: " + outputPath);
    LOG.info(" - number of reducers: " + reduceTasks);
    Configuration conf = getConf();
    initialParameters(conf);

    conf.set("dataPath", dataPath);

    Job job = Job.getInstance(conf);
    job.setJobName(AutoCoderLocal.class.getSimpleName());
    job.setJarByClass(AutoCoderLocal.class);
    // set the path of the information of k clusters in this iteration
    job.getConfiguration().set("sidepath", inputPath + "/side_output");
    job.setNumReduceTasks(reduceTasks);

    dataShuffle();

    FileInputFormat.setInputPaths(job, new Path(inputPath));
    FileOutputFormat.setOutputPath(job, new Path(outputPath));
    FileInputFormat.setMinInputSplitSize(job, 1000 * 1024 * 1024);
    FileInputFormat.setMaxInputSplitSize(job, 1000 * 1024 * 1024);

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

    job.setMapOutputKeyClass(IntWritable.class);
    job.setMapOutputValueClass(ModelNode.class);
    job.setOutputKeyClass(NullWritable.class);
    job.setOutputValueClass(SuperModel.class);

    job.setMapperClass(MyMapper.class);
    job.setReducerClass(MyReducer.class);
    job.setPartitionerClass(MyPartitioner.class);

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

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

    //prepareNextIteration(inputPath0, outputPath,iterations,conf,reduceTasks);

    return 0;
}

---

From source file:bigsidemodel.AutoCoder.java

License:Apache License

/**
 * Runs this tool.//from  w  w w.  j  a v  a 2s .c  om
 */
@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 v a2 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:byte_import.HexastoreBulkImport.java

License:Open Source License

public Job createSubmittableJob(String[] args) {
    TABLE_NAME = args[1];// ww  w. j av a2  s  . c  o  m
    Job job = null;
    try {
        job = new Job(new Configuration(), NAME);
        job.setJarByClass(HexastoreBulkImport.class);
        job.setMapperClass(sampler.TotalOrderPrep.Map.class);
        job.setReducerClass(Reduce.class);
        job.setCombinerClass(Combiner.class);
        job.setMapOutputKeyClass(ImmutableBytesWritable.class);
        job.setMapOutputValueClass(ImmutableBytesWritable.class);
        job.setPartitionerClass(TotalOrderPartitioner.class);
        //TotalOrderPartitioner.setPartitionFile(job.getConfiguration(), new Path("/user/npapa/"+regions+"partitions/part-r-00000"));
        TotalOrderPartitioner.setPartitionFile(job.getConfiguration(), new Path("partitions/part-r-00000"));
        job.setInputFormatClass(TextInputFormat.class);
        job.setOutputFormatClass(HFileOutputFormat.class);
        Path out = new Path("out");
        FileOutputFormat.setOutputPath(job, out);
        Configuration conf = new Configuration();
        FileSystem fs;
        try {
            fs = FileSystem.get(conf);
            if (fs.exists(out)) {
                fs.delete(out, true);
            }
        } catch (IOException e) {
            e.printStackTrace();
        }

        HBaseAdmin hadmin = new HBaseAdmin(conf);
        HTableDescriptor desc = new HTableDescriptor(TABLE_NAME + "_stats");
        HColumnDescriptor family = new HColumnDescriptor("size");
        desc.addFamily(family);
        conf.setInt("zookeeper.session.timeout", 600000);
        if (hadmin.tableExists(TABLE_NAME + "_stats")) {
            //hadmin.disableTable(TABLE_NAME+"_stats");
            //hadmin.deleteTable(TABLE_NAME+"_stats");
        } else {
            hadmin.createTable(desc);
        }

        FileInputFormat.setInputPaths(job, new Path(args[0]));
        //job.getConfiguration().setInt("mapred.map.tasks", 18);
        job.getConfiguration().set("h2rdf.tableName", TABLE_NAME);
        job.getConfiguration().setInt("mapred.reduce.tasks", (int) TotalOrderPrep.regions);
        job.getConfiguration().setBoolean("mapred.map.tasks.speculative.execution", false);
        job.getConfiguration().setBoolean("mapred.reduce.tasks.speculative.execution", false);
        job.getConfiguration().setInt("io.sort.mb", 100);
        job.getConfiguration().setInt("io.file.buffer.size", 131072);
        job.getConfiguration().setInt("mapred.job.reuse.jvm.num.tasks", -1);
        //job.getConfiguration().setInt("hbase.hregion.max.filesize", 67108864);
        job.getConfiguration().setInt("hbase.hregion.max.filesize", 33554432);
        job.getConfiguration().setInt("mapred.tasktracker.map.tasks.maximum", 5);
        job.getConfiguration().setInt("mapred.tasktracker.reduce.tasks.maximum", 5);
        //job.getConfiguration().setInt("io.sort.mb", 100);

    } catch (IOException e2) {
        e2.printStackTrace();
    }

    return job;
}

---

From source file:cityhubpartitioningcountry.CityHubPartitioning.java

/**
 * @param args the command line arguments
 *///from  w  w w.j a va2  s  .co m
public static void main(String[] args) throws IOException, InterruptedException, ClassNotFoundException {
    Configuration conf = new Configuration();
    Job job = Job.getInstance(conf, "partitioner");
    job.setJarByClass(CityHubPartitioning.class);
    job.setMapperClass(PartitionMonthMapper.class);
    job.setReducerClass(countryReducer.class);
    job.setMapOutputKeyClass(Text.class);
    job.setMapOutputValueClass(Text.class);

    job.setPartitionerClass(PartitionCountryPartitioner.class);

    job.setNumReduceTasks(27);
    job.setOutputKeyClass(Text.class);
    job.setOutputValueClass(NullWritable.class);
    FileInputFormat.addInputPath(job, new Path(args[0]));
    FileOutputFormat.setOutputPath(job, new Path(args[1]));
    System.exit(job.waitForCompletion(true) ? 0 : 1);
}

---

From source file:clustering.link_back.step1.Driver.java

License:Apache License

public Job configJob(String[] args) throws Exception {
    if (args.length < 3) {
        System.err.printf("usage: %s mst_result_dir simhash_result_file output_dir\n",
                getClass().getSimpleName());
        System.exit(1);/*  w ww. j a  v  a  2 s  .  c  o  m*/
    }

    Configuration conf = getConf();
    conf = MapReduceUtils.initConf(conf);

    Job job = Job.getInstance(conf, "link back step 1 job");
    job.setJarByClass(Driver.class);

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

    job.setInputFormatClass(KeyValueTextInputFormat.class);

    job.setMapperClass(SetKeyMapper.class);
    job.setMapOutputKeyClass(Step1KeyWritable.class);
    job.setMapOutputValueClass(Text.class);

    job.setPartitionerClass(JoinPartitioner.class);
    job.setGroupingComparatorClass(Step1GroupComparator.class);

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

    FileOutputFormat.setOutputPath(job, new Path(args[2]));

    return job;
}

---

From source file:clustering.link_back.step2.Driver.java

License:Apache License

public Job configJob(String[] args) throws Exception {
    if (args.length < 3) {
        System.err.printf("usage: %s pre_step_result_dir step1_result_dir output_dir\n",
                getClass().getSimpleName());
        System.exit(1);//from   ww  w.  j a  v  a2 s . c  o m
    }

    Configuration conf = getConf();
    conf = MapReduceUtils.initConf(conf);

    Job job = Job.getInstance(conf, "link back step 2 job");
    job.setJarByClass(Driver.class);

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

    job.setInputFormatClass(KeyValueTextInputFormat.class);

    job.setMapperClass(clustering.link_back.step2.SetKeyMapper.class);
    job.setMapOutputKeyClass(Step2KeyWritable.class);
    job.setMapOutputValueClass(Text.class);

    job.setPartitionerClass(JoinPartitioner.class);
    job.setGroupingComparatorClass(Step2GroupComparator.class);

    job.setReducerClass(clustering.link_back.step2.JoinReducer.class);
    job.setOutputKeyClass(Text.class);
    job.setOutputValueClass(IntWritable.class);

    FileOutputFormat.setOutputPath(job, new Path(args[2]));

    return job;
}

---

From source file:clustering.mst.Driver.java

License:Apache License

@Override
public int run(String[] args) throws Exception {
    if (args.length < 3) {
        System.err.printf("usage: %s similarity_result_dir document_count_file output_dir "
                + "[cluster_threshold] [reduce_number] [compression]\n", getClass().getSimpleName());
        System.exit(1);//from  ww  w.  j a v  a  2  s .  com
    }

    Path step1_OutputDir = new Path(args[2] + "/step1");
    Path resultDir = new Path(args[2] + "/result");

    URI docCntFile = new URI(args[1] + "/part-r-00000#docCnt");

    Configuration conf = getConf();
    conf = MapReduceUtils.initConf(conf);

    if (args.length > 3) {
        conf.setDouble("final.threshold", Double.valueOf(args[3]));
    } else {
        conf.setDouble("final.threshold", 0.2d);
    }
    if (args.length > 4) {
        conf.setInt("reduce.task.num", Integer.valueOf(args[4]));
    } else {
        conf.setInt("reduce.task.num", 5);
    }

    JobControl jobControl = new JobControl("mst jobs");

    /* step 1, split and calculate the child msts */

    Job childJob = Job.getInstance(conf, "mst child job");
    childJob.setJarByClass(Driver.class);

    childJob.addCacheFile(docCntFile);

    if (args.length > 5 && args[5].equals("0")) {
        FileInputFormat.addInputPath(childJob, new Path(args[0]));
        childJob.setInputFormatClass(KeyValueTextInputFormat.class);
    } else {
        SequenceFileInputFormat.addInputPath(childJob, new Path(args[0]));
        childJob.setInputFormatClass(SequenceFileAsTextInputFormat.class);
    }

    FileOutputFormat.setOutputPath(childJob, step1_OutputDir);

    childJob.setMapperClass(ChildMapper.class);
    childJob.setMapOutputKeyClass(DoubleWritable.class);
    childJob.setMapOutputValueClass(Text.class);

    childJob.setPartitionerClass(ChildPartitioner.class);

    childJob.setReducerClass(ChildReducer.class);
    childJob.setNumReduceTasks(conf.getInt("reduce.task.num", 1));
    childJob.setOutputKeyClass(DoubleWritable.class);
    childJob.setOutputValueClass(Text.class);

    ControlledJob controlledChildJob = new ControlledJob(conf);
    controlledChildJob.setJob(childJob);
    jobControl.addJob(controlledChildJob);

    /* step 2, merge step 1's output and calculate final mst */

    Job finalJob = Job.getInstance(conf, "mst final job");
    finalJob.setJarByClass(FinalReducer.class);

    finalJob.addCacheFile(docCntFile);

    FileInputFormat.addInputPath(finalJob, step1_OutputDir);
    finalJob.setInputFormatClass(KeyValueTextInputFormat.class);

    finalJob.setMapperClass(FinalMapper.class);
    finalJob.setMapOutputKeyClass(DoubleWritable.class);
    finalJob.setMapOutputValueClass(Text.class);

    finalJob.setReducerClass(FinalReducer.class);
    finalJob.setOutputKeyClass(IntWritable.class);
    finalJob.setOutputValueClass(IntWritable.class);

    FileOutputFormat.setOutputPath(finalJob, resultDir);

    ControlledJob finalControlledJob = new ControlledJob(conf);
    finalControlledJob.setJob(finalJob);
    finalControlledJob.addDependingJob(controlledChildJob);
    jobControl.addJob(finalControlledJob);

    // run jobs

    MapReduceUtils.runJobs(jobControl);

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

---

From source file:clustering.similarity.ISimDriver.java

License:Apache License

@Override
public int run(String[] args) throws Exception {
    if (args.length < 2) {
        System.err.printf("usage: %s simpre_dir output_dir " + "[compression_or_not] [reduce_task_number]\n",
                getClass().getSimpleName());
        System.exit(1);//from www.  ja  v  a 2  s.c  o m
    }

    Configuration conf = getConf();
    conf = MapReduceUtils.initConf(conf);

    Job job = Job.getInstance(conf, "isim job");
    job.setJarByClass(ISimDriver.class);

    if (args.length > 2 && args[2].equals("0")) {
        FileInputFormat.addInputPath(job, new Path(args[0]));
        job.setInputFormatClass(KeyValueTextInputFormat.class);
        FileOutputFormat.setOutputPath(job, new Path(args[1]));
    } else {
        job.setInputFormatClass(SequenceFileAsTextInputFormat.class);
        SequenceFileInputFormat.addInputPath(job, new Path(args[0]));

        conf.setBoolean("mapreduce.map.output.compress", true);
        conf.set("mapreduce.map.output.compress.codec", "org.apache.hadoop.io.compress.GzipCodec");

        job.setOutputFormatClass(SequenceFileOutputFormat.class);
        SequenceFileOutputFormat.setCompressOutput(job, true);
        SequenceFileOutputFormat.setOutputCompressionType(job, SequenceFile.CompressionType.BLOCK);
        SequenceFileOutputFormat.setOutputCompressorClass(job, org.apache.hadoop.io.compress.GzipCodec.class);
        SequenceFileOutputFormat.setOutputPath(job, new Path(args[1]));
    }

    if (args.length > 3) {
        conf.setInt("reduce.num", Integer.valueOf(args[3]));
    } else {
        conf.setInt("reduce.num", 5);
    }

    job.setMapperClass(ISimMapper.class);
    job.setMapOutputKeyClass(IntIntTupleWritable.class);
    job.setMapOutputValueClass(DoubleWritable.class);

    job.setCombinerClass(ISimCombiner.class);
    job.setPartitionerClass(HashPartitioner.class);

    job.setNumReduceTasks(conf.getInt("reduce.num", 1));

    job.setReducerClass(ISimReducer.class);
    job.setOutputKeyClass(IntIntTupleWritable.class);
    job.setOutputValueClass(DoubleWritable.class);

    long starttime = System.currentTimeMillis();
    boolean complete = job.waitForCompletion(true);
    long endtime = System.currentTimeMillis();
    System.out.println("inverted similarity job finished in: " + (endtime - starttime) / 1000 + " seconds");

    return complete ? 0 : 1;
}

---

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