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

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

  1. HOME
  2. Java
  3. org.apache.hadoop
  4. org.apache.hadoop.mapreduce.*
  5. Job
  6. setJarByClass

Introduction

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

Prototype

public void setJarByClass(Class<?> cls)

Source Link

Document

Set the Jar by finding where a given class came from.

Usage

From source file:com.elex.dmp.vectorizer.DictionaryVectorizer.java

License:Apache License

/**
 * Count the frequencies of words in parallel using Map/Reduce. The input documents have to be in
 * {@link SequenceFile} format//from w w  w  .  ja v  a 2 s. co  m
 */
private static void startWordCounting(Path input, Path output, Configuration baseConf, int minSupport)
        throws IOException, InterruptedException, ClassNotFoundException {

    Configuration conf = new Configuration(baseConf);
    // this conf parameter needs to be set enable serialisation of conf values
    conf.set("io.serializations", "org.apache.hadoop.io.serializer.JavaSerialization,"
            + "org.apache.hadoop.io.serializer.WritableSerialization");
    conf.setInt(MIN_SUPPORT, minSupport);

    Job job = new Job(conf);

    job.setJobName("DictionaryVectorizer::WordCount: input-folder: " + input);
    job.setJarByClass(DictionaryVectorizer.class);

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

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

    job.setMapperClass(TermCountMapper.class);

    job.setInputFormatClass(SequenceFileInputFormat.class);
    job.setCombinerClass(TermCountCombiner.class);
    job.setReducerClass(TermCountReducer.class);
    job.setOutputFormatClass(SequenceFileOutputFormat.class);

    HadoopUtil.delete(conf, output);

    boolean succeeded = job.waitForCompletion(true);
    if (!succeeded)
        throw new IllegalStateException("Job failed!");
}

From source file:com.elex.dmp.vectorizer.FixDictionaryVectorizer.java

License:Apache License

/**
 * Create a partial vector using a chunk of features from the input documents. The input documents has to be
 * in the {@link SequenceFile} format//from  w  w  w  .j  av a  2 s. co  m
 * 
 * @param input
 *          input directory of the documents in {@link SequenceFile} format
 * @param baseConf
 *          job configuration
 * @param maxNGramSize
 *          maximum size of ngrams to generate
 * @param dictionaryFilePath
 *          location of the chunk of features and the id's
 * @param output
 *          output directory were the partial vectors have to be created
 * @param dimension
 * @param sequentialAccess
 *          output vectors should be optimized for sequential access
 * @param namedVectors
 *          output vectors should be named, retaining key (doc id) as a label
 * @param numReducers 
 *          the desired number of reducer tasks
 */
private static void makePartialVectors(Path input, Configuration baseConf, int maxNGramSize,
        Path dictionaryFilePath, Path output, int dimension, boolean sequentialAccess, boolean namedVectors,
        int numReducers) throws IOException, InterruptedException, ClassNotFoundException {

    Configuration conf = new Configuration(baseConf);
    // this conf parameter needs to be set enable serialisation of conf values
    conf.set("io.serializations", "org.apache.hadoop.io.serializer.JavaSerialization,"
            + "org.apache.hadoop.io.serializer.WritableSerialization");
    conf.setInt(PartialVectorMerger.DIMENSION, dimension);
    conf.setBoolean(PartialVectorMerger.SEQUENTIAL_ACCESS, sequentialAccess);
    conf.setBoolean(PartialVectorMerger.NAMED_VECTOR, namedVectors);
    conf.setInt(MAX_NGRAMS, maxNGramSize);
    DistributedCache.setCacheFiles(new URI[] { dictionaryFilePath.toUri() }, conf);

    Job job = new Job(conf);
    job.setJobName("DictionaryVectorizer::MakePartialVectors: input-folder: " + input + ", dictionary-file: "
            + dictionaryFilePath);
    job.setJarByClass(FixDictionaryVectorizer.class);

    job.setMapOutputKeyClass(Text.class);
    job.setMapOutputValueClass(StringTuple.class);
    job.setOutputKeyClass(Text.class);
    job.setOutputValueClass(VectorWritable.class);
    FileInputFormat.setInputPaths(job, input);

    FileOutputFormat.setOutputPath(job, output);

    job.setMapperClass(Mapper.class);
    job.setInputFormatClass(SequenceFileInputFormat.class);
    job.setReducerClass(TFPartialVectorReducer.class);
    job.setOutputFormatClass(SequenceFileOutputFormat.class);
    job.setNumReduceTasks(numReducers);

    HadoopUtil.delete(conf, output);

    boolean succeeded = job.waitForCompletion(true);
    if (!succeeded)
        throw new IllegalStateException("Job failed!");
}

From source file:com.elex.dmp.vectorizer.FixDictionaryVectorizer.java

License:Apache License

/**
 * Count the frequencies of words in parallel using Map/Reduce. The input documents have to be in
 * {@link SequenceFile} format/*from w w  w.  j a  v  a  2 s .  c om*/
 */
private static void startWordCounting(Path input, Path output, Configuration baseConf, int minSupport)
        throws IOException, InterruptedException, ClassNotFoundException {

    Configuration conf = new Configuration(baseConf);
    // this conf parameter needs to be set enable serialisation of conf values
    conf.set("io.serializations", "org.apache.hadoop.io.serializer.JavaSerialization,"
            + "org.apache.hadoop.io.serializer.WritableSerialization");
    conf.setInt(MIN_SUPPORT, minSupport);

    Job job = new Job(conf);

    job.setJobName("DictionaryVectorizer::WordCount: input-folder: " + input);
    job.setJarByClass(FixDictionaryVectorizer.class);

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

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

    job.setMapperClass(TermCountMapper.class);

    job.setInputFormatClass(SequenceFileInputFormat.class);
    job.setCombinerClass(TermCountCombiner.class);
    job.setReducerClass(TermCountReducer.class);
    job.setOutputFormatClass(SequenceFileOutputFormat.class);

    HadoopUtil.delete(conf, output);

    boolean succeeded = job.waitForCompletion(true);
    if (!succeeded)
        throw new IllegalStateException("Job failed!");
}

From source file:com.elixir.hadoop.Chromo.FragmentCoverage.java

License:Apache License

public static void main(String[] args) throws Exception {

    Configuration conf = new Configuration();
    String[] otherArgs = new GenericOptionsParser(conf, args).getRemainingArgs();
    if (otherArgs.length < 2) {
        System.err.println("Usage: wordcount <in> [<in>...] <out>");
        System.exit(2);/*from  w ww  .j a v  a  2s.  com*/
    }
    Job job = Job.getInstance(conf, "position");
    job.setJarByClass(FragmentCoverage.class);

    job.setMapperClass(CoverageMapper.class);
    job.setCombinerClass(IntSumReducer.class);
    job.setNumReduceTasks(5);
    job.setMapOutputKeyClass(com.elixir.hadoop.Chromo.SecondrySort.IntPair.class);
    //job.setSpeculativeExecution(true);
    job.setPartitionerClass(ChromoPartitioner.class);
    job.setGroupingComparatorClass(com.elixir.hadoop.Chromo.SecondrySort.FirstGroupingComparator.class);
    job.setReducerClass(IntSumReducer.class);

    job.setOutputKeyClass(Text.class);

    job.setOutputValueClass(IntWritable.class);
    //   job.setOutputFormatClass(Text.class);

    for (int i = 0; i < otherArgs.length - 1; ++i) {
        FileInputFormat.addInputPath(job, new Path(otherArgs[i]));
    }
    FileOutputFormat.setOutputPath(job, new Path(otherArgs[otherArgs.length - 1]));
    System.exit(job.waitForCompletion(true) ? 0 : 1);
}

From source file:com.elixir.hadoop.FragmentCoverage.java

License:Apache License

public static void main(String[] args) throws Exception {
    Configuration conf = new Configuration();
    String[] otherArgs = new GenericOptionsParser(conf, args).getRemainingArgs();
    if (otherArgs.length < 2) {
        System.err.println("Usage: wordcount <in> [<in>...] <out>");
        System.exit(2);// ww  w.j a  v a  2s  .  c  om
    }
    Job job = Job.getInstance(conf, "position");
    job.setJarByClass(FragmentCoverage.class);
    job.setMapperClass(CoverageMapper.class);
    job.setCombinerClass(IntSumReducer.class);
    job.setReducerClass(IntSumReducer.class);
    job.setOutputKeyClass(Text.class);
    job.setOutputValueClass(IntWritable.class);
    for (int i = 0; i < otherArgs.length - 1; ++i) {
        FileInputFormat.addInputPath(job, new Path(otherArgs[i]));
    }
    FileOutputFormat.setOutputPath(job, new Path(otherArgs[otherArgs.length - 1]));
    System.exit(job.waitForCompletion(true) ? 0 : 1);
}

From source file:com.elixir.hadoop.OddEven.java

License:Apache License

public static void main(String[] args) throws Exception {
    Configuration conf = new Configuration();
    String[] otherArgs = new GenericOptionsParser(conf, args).getRemainingArgs();
    if (otherArgs.length < 2) {
        System.err.println("Usage: wordcount <in> [<in>...] <out>");
        System.exit(2);/*from  w  ww. j  av  a 2  s .  c  o  m*/
    }
    Job job = Job.getInstance(conf, "oddeven");
    job.setJarByClass(OddEven.class);
    job.setMapperClass(TokenizerMapper.class);
    job.setCombinerClass(IntSumReducer.class);
    job.setReducerClass(IntSumReducer.class);
    job.setOutputKeyClass(Text.class);
    job.setOutputValueClass(IntWritable.class);
    for (int i = 0; i < otherArgs.length - 1; ++i) {
        FileInputFormat.addInputPath(job, new Path(otherArgs[i]));
    }
    FileOutputFormat.setOutputPath(job, new Path(otherArgs[otherArgs.length - 1]));
    System.exit(job.waitForCompletion(true) ? 0 : 1);
}

From source file:com.elixir.hadoop.Word.WordCount.java

License:Apache License

public static void main(String[] args) throws Exception {
    Configuration conf = new Configuration();
    String[] otherArgs = new GenericOptionsParser(conf, args).getRemainingArgs();
    if (otherArgs.length < 2) {
        System.err.println("Usage: wordcount <in> [<in>...] <out>");
        System.exit(2);//  ww w  .j av a2  s . co  m
    }
    Job job = Job.getInstance(conf, "word count");
    job.setJarByClass(WordCount.class);

    job.setMapperClass(TokenizerMapper.class);
    job.setCombinerClass(IntSumReducer.class);
    job.setReducerClass(IntSumReducer.class);
    job.setOutputKeyClass(Text.class);
    job.setOutputValueClass(IntWritable.class);
    for (int i = 0; i < otherArgs.length - 1; ++i) {
        FileInputFormat.addInputPath(job, new Path(otherArgs[i]));
    }
    FileOutputFormat.setOutputPath(job, new Path(otherArgs[otherArgs.length - 1]));
    System.exit(job.waitForCompletion(true) ? 0 : 1);
}

From source file:com.elixir.hadoop.WordCount.java

License:Apache License

public static void main(String[] args) throws Exception {
    Configuration conf = new Configuration();
    String[] otherArgs = new GenericOptionsParser(conf, args).getRemainingArgs();
    if (otherArgs.length < 2) {
        System.err.println("Usage: wordcount <in> [<in>...] <out>");
        System.exit(2);/*from  w w w  . j a v a 2s .  c o m*/
    }
    Job job = Job.getInstance(conf, "word count");
    job.setJarByClass(WordCount.class);
    job.setMapperClass(TokenizerMapper.class);
    job.setCombinerClass(IntSumReducer.class);
    job.setReducerClass(IntSumReducer.class);
    job.setOutputKeyClass(Text.class);
    job.setOutputValueClass(IntWritable.class);
    for (int i = 0; i < otherArgs.length - 1; ++i) {
        FileInputFormat.addInputPath(job, new Path(otherArgs[i]));
    }
    FileOutputFormat.setOutputPath(job, new Path(otherArgs[otherArgs.length - 1]));
    System.exit(job.waitForCompletion(true) ? 0 : 1);
}

From source file:com.ema.hadoop.bestclient.BestClient.java

public static void main(String[] args) throws Exception {

    if (args.length != 4) {
        System.err.println("Usage: BestClient <input path> <output path> <date start> <date end>");
        System.exit(-1);/*from w ww  .  j  a v a  2s. c o m*/
    }

    Job job = Job.getInstance();
    job.setJarByClass(BestClient.class);
    job.setJobName("Best client job");

    JobConf jobConf = (JobConf) job.getConfiguration();
    jobConf.setStrings("dates", args[2], args[3]);

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

    job.setMapperClass(BCMapper.class);
    job.setReducerClass(BCReducer.class);

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

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

From source file:com.ema.hadoop.wordcount.WordCount.java

public static void main(String[] args) throws Exception {

    if (args.length != 2) {
        System.err.println("Usage: WordCount <input path> <output path>");
        System.exit(-1);//from  w  w w .j a va 2s.c  om
    }

    Job job = Job.getInstance();
    job.setJarByClass(WordCount.class);
    job.setJobName("Word count job");

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

    job.setMapperClass(WCMapper.class);
    job.setReducerClass(WCReducer.class);

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

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