Example usage for org.apache.hadoop.mapred JobConf setJobName

List of usage examples for org.apache.hadoop.mapred JobConf setJobName

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Introduction

In this page you can find the example usage for org.apache.hadoop.mapred JobConf setJobName.

Prototype

public void setJobName(String name)

Source Link

Document

Set the user-specified job name.

Usage

From source file:cn.edu.xmu.dm.mapreduce.Sort.java

License:Apache License

/**
 * The main driver for sort program. Invoke this method to submit the
 * map/reduce job.//from   w  w w  .ja v  a  2s  .  c  o  m
 * 
 * @throws IOException
 *             When there is communication problems with the job tracker.
 */
public int run(String[] args) throws Exception {
    Configuration conf = new Configuration();
    Job job = new Job(conf, "Sorter");
    job.setJarByClass(Sort.class);

    JobConf jobConf = new JobConf(getConf(), Sort.class);
    jobConf.setJobName("sorter");

    jobConf.setMapperClass(IdentityMapper.class);
    jobConf.setReducerClass(IdentityReducer.class);

    JobClient client = new JobClient(jobConf);
    ClusterStatus cluster = client.getClusterStatus();
    int num_reduces = (int) (cluster.getMaxReduceTasks() * 0.9);
    String sort_reduces = jobConf.get("test.sort.reduces_per_host");
    if (sort_reduces != null) {
        num_reduces = cluster.getTaskTrackers() * Integer.parseInt(sort_reduces);
    }
    Class<? extends InputFormat> inputFormatClass = SequenceFileInputFormat.class;
    Class<? extends OutputFormat> outputFormatClass = SequenceFileOutputFormat.class;
    Class<? extends WritableComparable> outputKeyClass = BytesWritable.class;
    Class<? extends Writable> outputValueClass = BytesWritable.class;
    List<String> otherArgs = new ArrayList<String>();
    InputSampler.Sampler<K, V> sampler = null;
    for (int i = 0; i < args.length; ++i) {
        try {
            if ("-m".equals(args[i])) {
                jobConf.setNumMapTasks(Integer.parseInt(args[++i]));
            } else if ("-r".equals(args[i])) {
                num_reduces = Integer.parseInt(args[++i]);
            } else if ("-inFormat".equals(args[i])) {
                inputFormatClass = Class.forName(args[++i]).asSubclass(InputFormat.class);
            } else if ("-outFormat".equals(args[i])) {
                outputFormatClass = Class.forName(args[++i]).asSubclass(OutputFormat.class);
            } else if ("-outKey".equals(args[i])) {
                outputKeyClass = Class.forName(args[++i]).asSubclass(WritableComparable.class);
            } else if ("-outValue".equals(args[i])) {
                outputValueClass = Class.forName(args[++i]).asSubclass(Writable.class);
            } else if ("-totalOrder".equals(args[i])) {
                double pcnt = Double.parseDouble(args[++i]);
                int numSamples = Integer.parseInt(args[++i]);
                int maxSplits = Integer.parseInt(args[++i]);
                if (0 >= maxSplits)
                    maxSplits = Integer.MAX_VALUE;
                sampler = new InputSampler.RandomSampler<K, V>(pcnt, 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(); // exits
        }
    }

    // Set user-supplied (possibly default) job configs
    jobConf.setNumReduceTasks(num_reduces);

    jobConf.setInputFormat(inputFormatClass);
    jobConf.setOutputFormat(outputFormatClass);

    jobConf.setOutputKeyClass(outputKeyClass);
    jobConf.setOutputValueClass(outputValueClass);

    // Make sure there are exactly 2 parameters left.
    if (otherArgs.size() != 2) {
        System.out.println("ERROR: Wrong number of parameters: " + otherArgs.size() + " instead of 2.");
        return printUsage();
    }
    FileInputFormat.setInputPaths(jobConf, otherArgs.get(0));
    FileOutputFormat.setOutputPath(jobConf, new Path(otherArgs.get(1)));

    if (sampler != null) {
        System.out.println("Sampling input to effect total-order sort...");
        jobConf.setPartitionerClass(TotalOrderPartitioner.class);
        Path inputDir = FileInputFormat.getInputPaths(jobConf)[0];
        inputDir = inputDir.makeQualified(inputDir.getFileSystem(jobConf));
        Path partitionFile = new Path(inputDir, "_sortPartitioning");
        TotalOrderPartitioner.setPartitionFile(jobConf, partitionFile);
        InputSampler.<K, V>writePartitionFile(jobConf, sampler);
        URI partitionUri = new URI(partitionFile.toString() + "#" + "_sortPartitioning");
        DistributedCache.addCacheFile(partitionUri, jobConf);
        DistributedCache.createSymlink(jobConf);
    }

    System.out.println("Running on " + cluster.getTaskTrackers() + " nodes to sort from "
            + FileInputFormat.getInputPaths(jobConf)[0] + " into " + FileOutputFormat.getOutputPath(jobConf)
            + " with " + num_reduces + " reduces.");
    Date startTime = new Date();
    System.out.println("Job started: " + startTime);
    jobResult = JobClient.runJob(jobConf);
    Date end_time = new Date();
    System.out.println("Job ended: " + end_time);
    System.out.println("The job took " + (end_time.getTime() - startTime.getTime()) / 1000 + " seconds.");
    return 0;
}

From source file:com.aerospike.hadoop.examples.externaljoin.ExternalJoin.java

License:Apache License

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

    log.info("run starting");

    final Configuration conf = getConf();

    JobConf job = new JobConf(conf, ExternalJoin.class);
    job.setJobName("AerospikeExternalJoin");

    job.setMapperClass(Map.class);
    job.setMapOutputKeyClass(LongWritable.class);
    job.setMapOutputValueClass(LongWritable.class);
    // job.setCombinerClass(Reduce.class);  // Reduce changes format.
    job.setReducerClass(Reduce.class);
    job.setOutputKeyClass(Text.class);
    job.setOutputValueClass(Session.class);

    job.setOutputFormat(SessionOutputFormat.class);

    for (int ii = 0; ii < args.length; ++ii)
        FileInputFormat.addInputPath(job, new Path(args[ii]));

    JobClient.runJob(job);/*from   www.  j ava2s.  c om*/

    log.info("finished");
    return 0;
}

From source file:com.aerospike.hadoop.examples.generateprofiles.GenerateProfiles.java

License:Apache License

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

    log.info("run starting");

    final Configuration conf = getConf();

    JobConf job = new JobConf(conf, GenerateProfiles.class);
    job.setJobName("AerospikeGenerateProfiles");

    job.setMapperClass(Map.class);
    job.setMapOutputKeyClass(LongWritable.class);
    job.setMapOutputValueClass(IntWritable.class);
    // job.setCombinerClass(Reduce.class);  // Reduce changes format.
    job.setReducerClass(Reduce.class);
    job.setOutputKeyClass(Text.class);
    job.setOutputValueClass(Profile.class);

    job.setOutputFormat(ProfileOutputFormat.class);

    for (int ii = 0; ii < args.length; ++ii)
        FileInputFormat.addInputPath(job, new Path(args[ii]));

    JobClient.runJob(job);/*from w w w .j a v  a 2s . c  om*/

    log.info("finished");
    return 0;
}

From source file:com.aerospike.hadoop.examples.sessionrollup.SessionRollup.java

License:Apache License

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

    log.info("run starting");

    final Configuration conf = getConf();

    JobConf job = new JobConf(conf, SessionRollup.class);
    job.setJobName("AerospikeSessionRollup");

    job.setMapperClass(Map.class);
    job.setMapOutputKeyClass(LongWritable.class);
    job.setMapOutputValueClass(LongWritable.class);
    // job.setCombinerClass(Reduce.class);  // Reduce changes format.
    job.setReducerClass(Reduce.class);
    job.setOutputKeyClass(Text.class);
    job.setOutputValueClass(Session.class);

    job.setOutputFormat(SessionOutputFormat.class);

    for (int ii = 0; ii < args.length; ++ii)
        FileInputFormat.addInputPath(job, new Path(args[ii]));

    JobClient.runJob(job);//  w w  w. j  a  v a 2s . c  om

    log.info("finished");
    return 0;
}

From source file:com.aerospike.hadoop.examples.wordcountinput.WordCountInput.java

License:Apache License

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

    log.info("run starting");

    final Configuration conf = getConf();

    JobConf job = new JobConf(conf, WordCountInput.class);
    job.setJobName("AerospikeWordCountInput");

    job.setInputFormat(AerospikeInputFormat.class);
    job.setMapperClass(Map.class);
    job.setCombinerClass(Reduce.class);
    job.setReducerClass(Reduce.class);
    job.setOutputKeyClass(Text.class);
    job.setOutputValueClass(IntWritable.class);
    job.setOutputFormat(TextOutputFormat.class);

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

    JobClient.runJob(job);//ww w. j  a  v  a2s .co m

    log.info("finished");
    return 0;
}

From source file:com.aerospike.hadoop.examples.wordcountoutput.WordCountOutput.java

License:Apache License

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

    log.info("run starting");

    final Configuration conf = getConf();

    JobConf job = new JobConf(conf, WordCountOutput.class);
    job.setJobName("AerospikeWordCountOutput");

    for (int ii = 0; ii < args.length; ++ii) {
        FileInputFormat.addInputPath(job, new Path(args[ii]));
    }/*from   ww w  .  j  a v a2  s .c om*/

    job.setMapperClass(Map.class);
    job.setCombinerClass(Reduce.class);
    job.setReducerClass(Reduce.class);
    job.setOutputKeyClass(Text.class);
    job.setOutputValueClass(IntWritable.class);

    job.setOutputFormat(MyOutputFormat.class);

    JobClient.runJob(job);

    log.info("finished");
    return 0;
}

From source file:com.alexholmes.hadooputils.combine.avro.mapred.CombineAvroInputFormatTest.java

License:Apache License

@SuppressWarnings("deprecation")
public void testJob() throws Exception {
    JobConf job = new JobConf();
    String dir = System.getProperty("test.dir", ".") + "/mapred";
    Path outputPath = new Path(dir + "/out");

    outputPath.getFileSystem(job).delete(outputPath);
    WordCountUtil.writeLinesFile();//from   w w  w.j  a v  a2s.c  om

    job.setJobName("wordcount");

    AvroJob.setInputSchema(job, Schema.create(Schema.Type.STRING));
    AvroJob.setOutputSchema(job, new Pair<Utf8, Long>(new Utf8(""), 0L).getSchema());

    AvroJob.setMapperClass(job, MapImpl.class);
    AvroJob.setCombinerClass(job, ReduceImpl.class);
    AvroJob.setReducerClass(job, ReduceImpl.class);

    job.setInputFormat(CombineAvroInputFormat.class);

    FileInputFormat.setInputPaths(job, new Path(dir + "/in"));
    FileOutputFormat.setOutputPath(job, outputPath);
    FileOutputFormat.setCompressOutput(job, true);

    WordCountUtil.setMeta(job);

    JobClient.runJob(job);

    WordCountUtil.validateCountsFile();
}

From source file:com.alexholmes.hadooputils.combine.seqfile.mapred.CombineSequenceFileJob.java

License:Apache License

/**
 * The driver for the MapReduce job./*from  w  w  w  . j  ava  2s  . c  o m*/
 *
 * @param conf           configuration
 * @param inputDirAsString  input directory in CSV-form
 * @param outputDirAsString output directory
 * @return true if the job completed successfully
 * @throws java.io.IOException         if something went wrong
 * @throws java.net.URISyntaxException if a URI wasn't correctly formed
 */
public boolean runJob(final Configuration conf, final String inputDirAsString, final String outputDirAsString)
        throws IOException, URISyntaxException, ClassNotFoundException, InterruptedException {

    JobConf job = new JobConf(conf);

    job.setJarByClass(CombineSequenceFileJob.class);
    job.setJobName("seqfilecombiner");

    job.setNumReduceTasks(0);

    job.setMapperClass(IdentityMapper.class);

    job.setInputFormat(CombineSequenceFileInputFormat.class);

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

    FileInputFormat.setInputPaths(job, inputDirAsString);
    FileOutputFormat.setOutputPath(job, new Path(outputDirAsString));

    Date startTime = new Date();
    System.out.println("Job started: " + startTime);
    RunningJob jobResult = JobClient.runJob(job);

    Date endTime = new Date();
    System.out.println("Job ended: " + endTime);
    System.out.println("The job took "
            + TimeUnit.MILLISECONDS.toSeconds(endTime.getTime() - startTime.getTime()) + " seconds.");

    return jobResult.isSuccessful();
}

From source file:com.alexholmes.hadooputils.sort.Sort.java

License:Apache License

/**
 * The driver for the sort MapReduce job.
 *
 * @param jobConf           sort configuration
 * @param numMapTasks       number of map tasks
 * @param numReduceTasks    number of reduce tasks
 * @param sampler           sampler, if required
 * @param codecClass        the compression codec for compressing final outputs
 * @param mapCodecClass     the compression codec for compressing intermediary map outputs
 * @param createLzopIndexes whether or not a MR job should be launched to create LZOP indexes
 *                          for the job output files
 * @param inputDirAsString  input directory in CSV-form
 * @param outputDirAsString output directory
 * @return true if the job completed successfully
 * @throws IOException        if something went wrong
 * @throws URISyntaxException if a URI wasn't correctly formed
 *//*from  w  w  w  .j  a  va  2s.  c  om*/
public boolean runJob(final JobConf jobConf, final Integer numMapTasks, final Integer numReduceTasks,
        final InputSampler.Sampler<K, V> sampler, final Class<? extends CompressionCodec> codecClass,
        final Class<? extends CompressionCodec> mapCodecClass, final boolean createLzopIndexes,
        final String inputDirAsString, final String outputDirAsString) throws IOException, URISyntaxException {

    jobConf.setJarByClass(Sort.class);
    jobConf.setJobName("sorter");

    JobClient client = new JobClient(jobConf);
    ClusterStatus cluster = client.getClusterStatus();

    if (numMapTasks != null) {
        jobConf.setNumMapTasks(numMapTasks);
    }
    if (numReduceTasks != null) {
        jobConf.setNumReduceTasks(numReduceTasks);
    } else {
        int numReduces = (int) (cluster.getMaxReduceTasks() * 0.9);
        String sortReduces = jobConf.get("test.sort.reduces_per_host");
        if (sortReduces != null) {
            numReduces = cluster.getTaskTrackers() * Integer.parseInt(sortReduces);
        }

        // Set user-supplied (possibly default) job configs
        jobConf.setNumReduceTasks(numReduces);
    }

    jobConf.setMapperClass(IdentityMapper.class);
    jobConf.setReducerClass(SortReduce.class);

    jobConf.setInputFormat(SortInputFormat.class);

    jobConf.setMapOutputKeyClass(Text.class);
    jobConf.setMapOutputValueClass(Text.class);
    jobConf.setOutputKeyClass(Text.class);
    jobConf.setOutputValueClass(Text.class);

    if (mapCodecClass != null) {
        jobConf.setMapOutputCompressorClass(mapCodecClass);
    }

    if (codecClass != null) {
        jobConf.setBoolean("mapred.output.compress", true);
        jobConf.setClass("mapred.output.compression.codec", codecClass, CompressionCodec.class);
    }

    FileInputFormat.setInputPaths(jobConf, inputDirAsString);
    FileOutputFormat.setOutputPath(jobConf, new Path(outputDirAsString));

    if (sampler != null) {
        System.out.println("Sampling input to effect total-order sort...");
        jobConf.setPartitionerClass(TotalOrderPartitioner.class);
        Path inputDir = FileInputFormat.getInputPaths(jobConf)[0];

        FileSystem fileSystem = FileSystem.get(jobConf);

        if (fileSystem.exists(inputDir) && fileSystem.isFile(inputDir)) {
            inputDir = inputDir.getParent();
        }
        inputDir = inputDir.makeQualified(inputDir.getFileSystem(jobConf));
        Path partitionFile = new Path(inputDir, "_sortPartitioning");
        TotalOrderPartitioner.setPartitionFile(jobConf, partitionFile);
        InputSampler.writePartitionFile(jobConf, sampler);
        URI partitionUri = new URI(partitionFile.toString() + "#" + "_sortPartitioning");
        DistributedCache.addCacheFile(partitionUri, jobConf);
        DistributedCache.createSymlink(jobConf);
    }

    System.out.println("Running on " + cluster.getTaskTrackers() + " nodes to sort from "
            + FileInputFormat.getInputPaths(jobConf)[0] + " into " + FileOutputFormat.getOutputPath(jobConf)
            + " with " + jobConf.getNumReduceTasks() + " reduces.");
    Date startTime = new Date();
    System.out.println("Job started: " + startTime);
    jobResult = JobClient.runJob(jobConf);
    Date endTime = new Date();
    System.out.println("Job ended: " + endTime);
    System.out.println("The job took "
            + TimeUnit.MILLISECONDS.toSeconds(endTime.getTime() - startTime.getTime()) + " seconds.");

    if (jobResult.isSuccessful()) {
        if (createLzopIndexes && codecClass != null && LzopCodec.class.equals(codecClass)) {
            new LzoIndexer(jobConf).index(new Path(outputDirAsString));
        }
        return true;
    }
    return false;
}

From source file:com.benchmark.mapred.dancing.DistributedPentomino.java

License:Apache License

public int run(String[] args) throws Exception {
    JobConf conf;
    int depth = 5;
    int width = 9;
    int height = 10;
    Class<? extends Pentomino> pentClass;
    if (args.length == 0) {
        System.out.println("pentomino <output>");
        ToolRunner.printGenericCommandUsage(System.out);
        return -1;
    }/*ww w . ja  va 2s .c o m*/

    conf = new JobConf(getConf());
    width = conf.getInt("pent.width", width);
    height = conf.getInt("pent.height", height);
    depth = conf.getInt("pent.depth", depth);
    pentClass = conf.getClass("pent.class", OneSidedPentomino.class, Pentomino.class);

    Path output = new Path(args[0]);
    Path input = new Path(output + "_input");
    FileSystem fileSys = FileSystem.get(conf);
    try {
        FileInputFormat.setInputPaths(conf, input);
        FileOutputFormat.setOutputPath(conf, output);
        conf.setJarByClass(PentMap.class);

        conf.setJobName("dancingElephant");
        Pentomino pent = ReflectionUtils.newInstance(pentClass, conf);
        pent.initialize(width, height);
        createInputDirectory(fileSys, input, pent, depth);

        // the keys are the prefix strings
        conf.setOutputKeyClass(Text.class);
        // the values are puzzle solutions
        conf.setOutputValueClass(Text.class);

        conf.setMapperClass(PentMap.class);
        conf.setReducerClass(IdentityReducer.class);

        conf.setNumMapTasks(2000);
        conf.setNumReduceTasks(1);

        JobClient.runJob(conf);
    } finally {
        fileSys.delete(input, true);
    }
    return 0;
}