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

List of usage examples 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.jhkt.playgroundArena.hadoop.tasks.jobs.AverageMultipleOutputJob.java

License:Apache License

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

    Configuration conf = getConf();
    Job job = new Job(conf, AverageMultipleOutputJob.class.getSimpleName());
    job.setJarByClass(AverageMultipleOutputJob.class);

    Path in = new Path(args[0]);
    Path out = new Path(args[1]);

    FileInputFormat.setInputPaths(job, in);
    FileOutputFormat.setOutputPath(job, out);

    job.setJobName("Sample Multiple Output Job");
    job.setMapperClass(AverageMapper.class);
    job.setReducerClass(AverageMultipleOutputReducer.class);

    job.setInputFormatClass(TextInputFormat.class);
    job.setOutputFormatClass(TextOutputFormat.class);
    job.setOutputKeyClass(IntWritable.class);
    job.setOutputValueClass(IntWritable.class);

    MultipleOutputs.addNamedOutput(job, "greaterThan1000", TextOutputFormat.class, Text.class,
            DoubleWritable.class);
    MultipleOutputs.addNamedOutput(job, "lessThan1000", TextOutputFormat.class, Text.class,
            DoubleWritable.class);

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

    return 0;/* ww w . j a  v  a2  s .c om*/
}

From source file:com.jhkt.playgroundArena.hadoop.tasks.jobs.BloomFilterJob.java

License:Apache License

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

    Configuration conf = getConf();
    Job job = new Job(conf, BloomFilterJob.class.getSimpleName());
    job.setJarByClass(BloomFilterJob.class);

    Path in = new Path(args[0]);
    Path out = new Path(args[1]);

    FileInputFormat.setInputPaths(job, in);
    FileOutputFormat.setOutputPath(job, out);

    job.setJobName("Sample BloomFilter Job");
    job.setMapperClass(BloomFilterMapper.class);
    job.setReducerClass(BloomFilterReducer.class);
    job.setNumReduceTasks(1);/*w  w w .j a  v  a  2s  .c  om*/

    job.setInputFormatClass(TextInputFormat.class);

    /*
     * We want our reducer to output the final BloomFilter as a binary file. I think 
     * Hadoop doesn't have this format [check later], so using NullOutpuFormat.class.
     * 
     * In general life gets a little more dangerous when you deviate from MapReduce's input/output 
     * framework and start working with your own files. Your tasks are no longer guaranteed to be idempotent 
     * and you'll need to understand how various failure scenarios can affect your tasks. For example, your files 
     * may only be partially written when some tasks are restarted. Our example here is safe(r) because all the file 
     * operations take place together only once in the close() method and in only one reducer. A more 
     * careful/paranoid implementation would check each individual file operation more closely.
     */
    job.setOutputFormatClass(NullOutputFormat.class);
    job.setOutputKeyClass(Text.class);
    job.setOutputValueClass(BloomFilter.class);

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

    return 0;
}

From source file:com.jhkt.playgroundArena.hadoop.tasks.jobs.CountJob.java

License:Apache License

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

    Configuration conf = getConf();
    Job job = new Job(conf, CountJob.class.getSimpleName());
    job.setJarByClass(CountJob.class);

    Path in = new Path(args[0]);
    Path out = new Path(args[1]);

    FileInputFormat.setInputPaths(job, in);
    FileOutputFormat.setOutputPath(job, out);

    job.setJobName("Sample Count Job");
    job.setMapperClass(CountMapper.class);
    job.setReducerClass(CountReducer.class);

    job.setInputFormatClass(TextInputFormat.class);
    job.setOutputFormatClass(TextOutputFormat.class);
    job.setOutputKeyClass(IntWritable.class);
    job.setOutputValueClass(IntWritable.class);

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

    return 0;//w  w w  .  j a va  2 s  .com
}

From source file:com.juniarto.secondsorter.SsJob.java

public int run(String[] allArgs) throws Exception {
    Configuration conf = getConf();
    Job job = new Job(conf, "secondary sort");

    job.setJarByClass(SsJob.class);
    job.setPartitionerClass(NaturalKeyPartitioner.class);
    job.setGroupingComparatorClass(NaturalKeyGroupingComparator.class);
    job.setSortComparatorClass(CompositeKeyComparator.class);

    job.setMapOutputKeyClass(TextDsi.class);
    job.setMapOutputValueClass(IntWritable.class);

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

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

    job.setMapperClass(SsMapper.class);
    job.setReducerClass(SsReducer.class);
    job.setNumReduceTasks(2);//w w w.j av a 2 s.c o m

    String[] args = new GenericOptionsParser(getConf(), allArgs).getRemainingArgs();
    FileInputFormat.setInputPaths(job, new Path(args[0]));
    FileOutputFormat.setOutputPath(job, new Path(args[1]));
    //job.submit();

    long time1 = System.nanoTime();
    boolean status = job.waitForCompletion(true);
    long time2 = System.nanoTime();
    long timeSpent = time2 - time1;
    LOG.info("TIME: " + timeSpent);
    return 0;

}

From source file:com.justgiving.raven.kissmetrics.jsonenricher.KissmetricsJsonToEnrichedJsonDriver.java

License:Open Source License

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

    logger.info("Logger - Converting Kissmetrics Json to Valid Json files");
    System.out.println("Converting Kissmetrics Json to Valid Json files");
    System.out.println("defaultCharacterEncoding by property: " + System.getProperty("file.encoding"));
    System.out.println("defaultCharacterEncoding by code: " + getDefaultCharEncoding());
    System.out.println("defaultCharacterEncoding by charSet: " + Charset.defaultCharset());

    Job job = Job.getInstance();
    job.setJarByClass(KissmetricsJsonToEnrichedJsonDriver.class);
    job.setJobName("Kissmetrics Json to valid and enriched Json files");
    FileInputFormat.addInputPath(job, new Path(args[0]));
    FileOutputFormat.setOutputPath(job, new Path(args[1]));

    //Add number of reducers
    int numberOfReducers = 2;
    if (args.length > 2 && args[2] != null) {
        numberOfReducers = Integer.parseInt(args[2]);
        if (numberOfReducers <= 0) {
            numberOfReducers = 2;/*from   w  ww  .j  a  v  a 2 s.com*/
        }
    }

    job.setMapperClass(com.justgiving.raven.kissmetrics.jsonenricher.KissmetricsJsonToEnrichedJsonMapper.class);
    job.setMapOutputKeyClass(Text.class);
    job.setMapOutputValueClass(Text.class);
    job.setReducerClass(
            com.justgiving.raven.kissmetrics.jsonenricher.KissmetricsJsonToEnrichedJsonReducer.class);
    job.setNumReduceTasks(numberOfReducers);

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

From source file:com.justgiving.raven.kissmetrics.schema.KissmetricsJsonToSchemaDriver.java

License:Open Source License

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

    int numberOfReducers = 1;
    if (args.length > 2 && args[2] != null) {
        numberOfReducers = Integer.parseInt(args[2]);
        if (numberOfReducers <= 0) {
            numberOfReducers = 1;//from  ww  w  .j av  a2s. c o m
        }
    }

    System.out.println("Kissmetrics Json Schema Extrator");

    Job job = Job.getInstance();
    job.setJarByClass(KissmetricsJsonToSchemaDriver.class);
    job.setJobName("Kissmetrics Json Schema Extrator");
    FileInputFormat.addInputPath(job, new Path(args[0]));
    FileOutputFormat.setOutputPath(job, new Path(args[1]));
    job.setMapperClass(com.justgiving.raven.kissmetrics.schema.KissmetricsJsonToSchemaMapper.class);
    job.setReducerClass(com.justgiving.raven.kissmetrics.schema.KissmetricsJsonToSchemaReducer.class);
    job.setNumReduceTasks(numberOfReducers);
    job.setOutputKeyClass(Text.class);
    job.setOutputValueClass(Text.class);
    System.exit(job.waitForCompletion(true) ? 0 : 1);
}

From source file:com.jyz.study.hadoop.hbase.mapreduce.HFileOutputFormatBase.java

License:Apache License

/**
 * Configure a MapReduce Job to perform an incremental load into the given
 * table. This/*from   w ww .  j  a  va  2s . com*/
 * <ul>
 * <li>Inspects the table to configure a total order partitioner</li>
 * <li>Uploads the partitions file to the cluster and adds it to the
 * DistributedCache</li>
 * <li>Sets the number of reduce tasks to match the current number of
 * regions</li>
 * <li>Sets the output key/value class to match HFileOutputFormat's
 * requirements</li>
 * <li>Sets the reducer up to perform the appropriate sorting (either
 * KeyValueSortReducer or PutSortReducer)</li>
 * </ul>
 * The user should be sure to set the map output value class to either
 * KeyValue or Put before running this function.
 */
public static void configureIncrementalLoad(Job job, HTable table,
        Class<? extends HFileOutputFormatBase> hfileOutputFormatBase) throws IOException {
    Configuration conf = job.getConfiguration();

    job.setOutputKeyClass(ImmutableBytesWritable.class);
    job.setOutputValueClass(KeyValue.class);
    job.setOutputFormatClass(hfileOutputFormatBase);

    // Based on the configured map output class, set the correct reducer to
    // properly
    // sort the incoming values.
    // TODO it would be nice to pick one or the other of these formats.
    if (KeyValue.class.equals(job.getMapOutputValueClass())) {
        job.setReducerClass(KeyValueSortReducer.class);
    } else if (Put.class.equals(job.getMapOutputValueClass())) {
        job.setReducerClass(PutSortReducer.class);
    } else if (Text.class.equals(job.getMapOutputValueClass())) {
        job.setReducerClass(TextSortReducer.class);
    } else {
        LOG.warn("Unknown map output value type:" + job.getMapOutputValueClass());
    }

    conf.setStrings("io.serializations", conf.get("io.serializations"), MutationSerialization.class.getName(),
            ResultSerialization.class.getName(), KeyValueSerialization.class.getName());

    // Use table's region boundaries for TOP split points.
    LOG.info("Looking up current regions for table " + Bytes.toString(table.getTableName()));
    List<ImmutableBytesWritable> startKeys = getRegionStartKeys(table);
    LOG.info("Configuring " + startKeys.size() + " reduce partitions " + "to match current region count");
    job.setNumReduceTasks(startKeys.size());

    configurePartitioner(job, startKeys);
    // Set compression algorithms based on column families
    configureCompression(table, conf);
    configureBloomType(table, conf);
    configureBlockSize(table, conf);

    TableMapReduceUtil.addDependencyJars(job);
    TableMapReduceUtil.initCredentials(job);
    LOG.info("Incremental table " + Bytes.toString(table.getTableName()) + " output configured.");
}

From source file:com.kangfoo.study.hadoop1.mp.typeformat.TestMapreduceMultipleInputs.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 != 3) {
        System.err.println("Usage: TestMapreduceMultipleInputs <in1> <in2> <out>");
        System.exit(2);/*from  www . j  a va 2  s.  com*/
    }
    Job job = new Job(conf, "TestMapreduceMultipleInputs");
    job.setJarByClass(TestMapreduceMultipleInputs.class);// ?
    // job.setMapperClass(Mapper1.class);
    // job.setCombinerClass(IntSumReducer.class);
    job.setReducerClass(IntSumReducer.class);
    job.setOutputKeyClass(Text.class);
    job.setOutputValueClass(IntWritable.class);

    MultipleInputs.addInputPath(job, new Path(otherArgs[0]), TextInputFormat.class, Mapper1.class);
    MultipleInputs.addInputPath(job, new Path(otherArgs[1]), SequenceFileInputFormat.class, Mapper2.class);

    //FileInputFormat.addInputPath(job, new Path(otherArgs[0]));
    FileOutputFormat.setOutputPath(job, new Path(otherArgs[2]));
    System.exit(job.waitForCompletion(true) ? 0 : 1);
}

From source file:com.kangfoo.study.hadoop1.mp.typeformat.TestMapreduceSequenceInputFormat.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: TestMapreduceSequenceInputFormat <in> <out>");
        System.exit(2);//w  w  w .java2s .co  m
    }
    Job job = new Job(conf, "TestMapreduceSequenceInputFormat");
    job.setJarByClass(TestMapreduceSequenceInputFormat.class);//?
    job.setMapperClass(TokenizerMapper.class);
    job.setCombinerClass(IntSumReducer.class);
    job.setReducerClass(IntSumReducer.class);
    job.setOutputKeyClass(Text.class);
    job.setOutputValueClass(IntWritable.class);
    job.setInputFormatClass(SequenceFileInputFormat.class); // SequenceFileInputFormat
    FileInputFormat.addInputPath(job, new Path(otherArgs[0]));
    FileOutputFormat.setOutputPath(job, new Path(otherArgs[1]));
    System.exit(job.waitForCompletion(true) ? 0 : 1);
}

From source file:com.kangfoo.study.hadoop1.mp.typeformat.TestMapreduceTextInputFormat.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: TestMapreduceTextInputFormat <in> <out>");
        System.exit(2);/* ww w  . j ava  2 s.c  o  m*/
    }
    Job job = new Job(conf, "TestMapreduceTextInputFormat");
    job.setJarByClass(TestMapreduceTextInputFormat.class);//?
    job.setMapperClass(TokenizerMapper.class);
    job.setCombinerClass(IntSumReducer.class);
    job.setReducerClass(IntSumReducer.class);
    job.setOutputKeyClass(Text.class);
    job.setOutputValueClass(IntWritable.class);
    FileInputFormat.addInputPath(job, new Path(otherArgs[0]));
    FileOutputFormat.setOutputPath(job, new Path(otherArgs[1]));
    System.exit(job.waitForCompletion(true) ? 0 : 1);
}