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

Introduction

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

Prototype

public void setReducerClass(Class<? extends Reducer> cls) throws IllegalStateException 

Source Link

Document

Set the Reducer for the job.

Usage

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/* ww w .  ja v  a  2  s.  com*/
 * 
 * @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// www .  j a va2s  .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 ww w  .jav  a 2  s  .c  om*/
    }
    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);/*from  ww w.ja va2 s. c  o  m*/
    }
    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  w  w .j a  va 2s . 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);/*from   w  w  w .  j  a  v  a  2 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   www .  j  a  v  a  2 s  .  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  www  .j  a  v a2  s . c om*/
    }

    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);//w  w  w. j  av  a 2s . co m
    }

    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);
}

---

From source file:com.ema.hadoop.wordcount.WordCount_cache.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  ww .java 2s  . c o m*/
    }

    // First we write the stop word list
    // it could also be a file manually loaded into HDFS

    String[] stopwords = { "the", "a" };
    Configuration configuration = new Configuration();
    FileSystem hdfs = FileSystem.get(new URI("hdfs://localhost:9000"), configuration);
    Path file = new Path("hdfs://localhost:9000/user/student/stop_words.txt");
    if (hdfs.exists(file)) {
        hdfs.delete(file, true);
    }
    OutputStream os = hdfs.create(file, new Progressable() {
        @Override
        public void progress() {
            out.println("...bytes written");
        }
    });
    BufferedWriter br = new BufferedWriter(new OutputStreamWriter(os, "UTF-8"));
    for (String w : stopwords) {
        br.write(w + "\n");
    }

    br.close();
    hdfs.close();

    Job job = Job.getInstance();
    job.addCacheFile(new Path("hdfs://localhost:9000/user/student/stop_words.txt").toUri());

    job.setJarByClass(WordCount_cache.class);
    job.setJobName("Word count job");

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

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

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

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

---

• «
• 1
• 2
• 3
• 4
• 5
• 6
• 7
• 8
• 9
• 10
• 11
• 12
• 13
• 14
• 15
• 16
• 17
• 18
• 19
• 20
• 21
• 22
• 23
• 24
• 25
• 26
• 27
• 28
• 29
• 30
• 31
• 32
• 33
• 34
• 35
• 36
• 37
• 38
• 39
• 40
• 41
• 42
• 43
• 44
• 45
• 46
• 47
• 48
• 49
• 50
• »