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

List of usage examples for org.apache.hadoop.mapreduce Job setMapOutputKeyClass

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Introduction

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

Prototype

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

Source Link

Document

Set the key class for the map output data.

Usage

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);//from ww w. j  a  va2  s  .  co 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 w ww  .  j  a va 2  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  w w  w.  ja v  a2 s. c o  m
    }

    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.simhash.Driver.java

License:Apache License

@Override
public int run(String[] args) throws Exception {
    if (args.length < 2) {
        System.err.printf("usage: %s init_result_dir output_dir [simhash_threshold]\n",
                getClass().getSimpleName());
        System.exit(1);/*from   w ww .  java 2 s .c  om*/
    }

    Path step1_outputDir = new Path(args[1] + "/step1");

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

    if (args.length > 2) {
        conf.setInt("simhash.threshold", Integer.valueOf(args[2]));
    } else {
        conf.setInt("simhash.threshold", 3);
    }

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

    Job job1 = Job.getInstance(conf, "simhash step1 job");
    job1.setJarByClass(Driver.class);

    FileInputFormat.addInputPath(job1, new Path(args[0]));
    job1.setInputFormatClass(KeyValueTextInputFormat.class);

    job1.setMapperClass(Step1Mapper.class);
    job1.setMapOutputKeyClass(LongWritable.class);
    job1.setMapOutputValueClass(Text.class);

    job1.setReducerClass(Step1Reducer.class);
    job1.setOutputKeyClass(IntWritable.class);
    job1.setOutputValueClass(Text.class);

    FileOutputFormat.setOutputPath(job1, step1_outputDir);

    ControlledJob controlledJob1 = new ControlledJob(conf);
    controlledJob1.setJob(job1);
    jobControl.addJob(controlledJob1);

    Job job2 = Job.getInstance(conf, "simhash step2 job");
    job2.setJarByClass(Driver.class);

    FileInputFormat.addInputPath(job2, step1_outputDir);
    job2.setInputFormatClass(KeyValueTextInputFormat.class);

    job2.setMapperClass(Step2Mapper.class);
    job2.setMapOutputKeyClass(IntWritable.class);
    job2.setMapOutputValueClass(Text.class);

    job2.setReducerClass(Step2Reducer.class);
    job2.setOutputKeyClass(IntWritable.class);
    job2.setOutputValueClass(Text.class);

    FileOutputFormat.setOutputPath(job2, new Path(args[1] + "/result"));

    ControlledJob controlledJob2 = new ControlledJob(conf);
    controlledJob2.setJob(job2);
    controlledJob2.addDependingJob(controlledJob1);
    jobControl.addJob(controlledJob2);

    long starttime = System.currentTimeMillis();
    clustering.Utils.MapReduceUtils.runJobs(jobControl);

    boolean complete = job2.waitForCompletion(true);
    long endtime = System.currentTimeMillis();
    System.out.println("simhash job finished in: " + (endtime - starttime) / 1000 + " seconds");

    return complete ? 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 w  ww . j a  va2s  . 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;
}

From source file:clustering.similarity.PreDriver.java

License:Apache License

@Override
public int run(String[] args) throws Exception {
    if (args.length < 2) {
        System.err.printf(/*ww  w  .  j  a  va 2 s.c o  m*/
                "usage: %s inverted_index_result_dir output_dir"
                        + " [compress_or_not] [reducer_number] [deci_number]\n",
                this.getClass().getSimpleName());
        System.exit(1);
    }
    Configuration conf = getConf();

    conf = MapReduceUtils.initConf(conf);
    conf.set("mapreduce.reduce.speculative", "false");

    // TODO: 17-4-24 calculate split number from reducer number
    conf.setInt("split.num", 8);

    if (args.length > 3) {
        conf.setInt("reducer.num", Integer.valueOf(args[3]));
    } else {
        conf.setInt("reducer.num", 29);
    }
    if (args.length > 4) {
        conf.setInt("deci.number", Integer.valueOf(args[4]));
    } else {
        conf.setInt("deci.number", 3);
    }

    Job job = Job.getInstance(conf, "pre job");
    job.setJarByClass(PreDriver.class);

    FileInputFormat.addInputPath(job, new Path(args[0]));
    job.setInputFormatClass(KeyValueTextInputFormat.class);

    job.setMapperClass(PreMapper.class);
    job.setMapOutputKeyClass(IntIntTupleWritable.class);
    job.setMapOutputValueClass(Text.class);

    job.setPartitionerClass(PrePartitioner.class);

    job.setNumReduceTasks(conf.getInt("reducer.num", 29));
    job.setReducerClass(PreReducer.class);
    job.setOutputKeyClass(Text.class);
    job.setOutputValueClass(Text.class);

    // set default compression
    if (args.length > 2 && args[2].equals("0")) {
        FileOutputFormat.setOutputPath(job, new Path(args[1]));
    } else {
        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]));
    }

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

    return complete ? 0 : 1;
}

From source file:clustering.tf_idf.TermCntDriver.java

License:Apache License

Job configJob(String[] args) throws Exception {
    if (args.length < 2) {
        System.err.printf("usage: %s simhash_result_dir step_1_output_dir\n", getClass().getSimpleName());
        System.exit(1);/*ww w .j  av  a 2s  .co m*/
    }

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

    Job job = Job.getInstance(conf, "tf idf step1 job");
    job.setJarByClass(TermCntDriver.class);

    FileInputFormat.addInputPath(job, new Path(args[0]));
    job.setInputFormatClass(KeyValueTextInputFormat.class);

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

    job.setCombinerClass(TermCountReducer.class);

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

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

    return job;
}

From source file:cmd.sampler.java

License:Apache License

/**
 * Driver for InputSampler from the command line. Configures a JobConf
 * instance and calls {@link #writePartitionFile}.
 *///from   w  ww  . ja  v  a  2 s  . c  o m
public int run(String[] args) throws Exception {
    Job job = new Job(getConf());
    ArrayList<String> otherArgs = new ArrayList<String>();
    Sampler<K, V> sampler = null;
    for (int i = 0; i < args.length; ++i) {
        try {
            if ("-r".equals(args[i])) {
                job.setNumReduceTasks(Integer.parseInt(args[++i]));
            } else if ("-inFormat".equals(args[i])) {
                job.setInputFormatClass(Class.forName(args[++i]).asSubclass(InputFormat.class));
            } else if ("-keyClass".equals(args[i])) {
                job.setMapOutputKeyClass(Class.forName(args[++i]).asSubclass(WritableComparable.class));
            } else if ("-splitSample".equals(args[i])) {
                int numSamples = Integer.parseInt(args[++i]);
                int maxSplits = Integer.parseInt(args[++i]);
                if (0 >= maxSplits)
                    maxSplits = Integer.MAX_VALUE;
                sampler = new SplitSampler<K, V>(numSamples, maxSplits);
            } else {
                otherArgs.add(args[i]);
            }
        } catch (NumberFormatException except) {
            System.out.println("ERROR: Integer expected instead of " + args[i]);
            return printUsage();
        } catch (ArrayIndexOutOfBoundsException except) {
            System.out.println("ERROR: Required parameter missing from " + args[i - 1]);
            return printUsage();
        }
    }
    if (job.getNumReduceTasks() <= 1) {
        System.err.println("Sampler requires more than one reducer");
        return printUsage();
    }
    if (otherArgs.size() < 2) {
        System.out.println("ERROR: Wrong number of parameters: ");
        return printUsage();
    }
    if (null == sampler) {
        sampler = new SplitSampler<K, V>(1000, 10);
    }

    Path outf = new Path(otherArgs.remove(otherArgs.size() - 1));
    TotalOrderPartitioner.setPartitionFile(getConf(), outf);
    for (String s : otherArgs) {
        FileInputFormat.addInputPath(job, new Path(s));
    }
    InputSampler.<K, V>writePartitionFile(job, sampler);

    return 0;
}

From source file:cn.edu.hfut.dmic.webcollector.crawldb.DBReader.java

public static void main(String[] args) throws Exception {
    Path crawlPath = new Path("task2");
    Path currentPath = new Path(crawlPath, "crawldb/current");
    Path output = new Path("output");

    Configuration config = CrawlerConfiguration.create();
    FileSystem fs = FileSystem.get(config);

    if (fs.exists(output)) {
        fs.delete(output);/*  ww  w  .  j a v  a2  s  . c o  m*/
    }

    Job job = new Job(config);
    job.setJobName("dbreader " + crawlPath.toString());
    job.setMapperClass(DBReaderMapper.class);

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

    job.setMapOutputKeyClass(Text.class);
    job.setMapOutputValueClass(Text.class);
    job.setOutputKeyClass(Text.class);
    job.setOutputValueClass(Text.class);
    FileInputFormat.addInputPath(job, currentPath);
    FileOutputFormat.setOutputPath(job, output);

    job.waitForCompletion(true);

}

From source file:cn.edu.hfut.dmic.webcollector.crawldb.Generator.java

public static String generate(Path crawlPath, Configuration conf) throws Exception {
    SegmentUtil.initSegments(crawlPath, conf);
    String segmentName = SegmentUtil.createSegment(crawlPath, conf);

    Path currentPath = new Path(crawlPath, "crawldb/current");
    Path generatePath = new Path(crawlPath, "segments/" + segmentName + "/generate");

    Job job = new Job(conf);
    job.setJobName("generate " + crawlPath.toString());
    job.setJarByClass(Generator.class);

    job.setReducerClass(GeneratorReducer.class);

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

    job.setMapOutputKeyClass(Text.class);
    job.setMapOutputValueClass(CrawlDatum.class);
    job.setOutputKeyClass(Text.class);
    job.setOutputValueClass(CrawlDatum.class);
    FileInputFormat.addInputPath(job, currentPath);
    FileOutputFormat.setOutputPath(job, generatePath);
    job.waitForCompletion(true);/*from   w w w  .java  2  s  .c  o  m*/
    long count = job.getCounters().findCounter("generator", "count").getValue();
    System.out.println("total generate:" + count);
    if (count == 0) {
        return null;
    } else {
        return segmentName;
    }

}