Example usage for org.apache.hadoop.conf Configured subclass-usage

Introduction

In this page you can find the example usage for org.apache.hadoop.conf Configured subclass-usage.

Usage

From source file com.github.karahiyo.hadoop.mapreduce.examples.DBCountPageView.java

/**
 * This is a demonstrative program, which uses DBInputFormat for reading
 * the input data from a database, and DBOutputFormat for writing the data 
 * to the database. 
 * <br>
 * The Program first creates the necessary tables, populates the input table

From source file com.github.karahiyo.hadoop.mapreduce.examples.Grep.java

public class Grep extends Configured implements Tool {
    private Grep() {
    } // singleton

    public int run(String[] args) throws Exception {
        if (args.length < 3) {

From source file com.github.karahiyo.hadoop.mapreduce.examples.Join.java

/**
 * This is the trivial map/reduce program that does absolutely nothing
 * other than use the framework to fragment and sort the input values.
 *
 * To run: bin/hadoop jar build/hadoop-examples.jar join
 *            [-m <i>maps</i>] [-r <i>reduces</i>]

From source file com.github.karahiyo.hadoop.mapreduce.examples.MultiFileWordCount.java

/**
 * MultiFileWordCount is an example to demonstrate the usage of 
 * MultiFileInputFormat. This examples counts the occurrences of
 * words in the text files under the given input directory.
 */
public class MultiFileWordCount extends Configured implements Tool {

From source file com.github.karahiyo.hadoop.mapreduce.examples.PiEstimator.java

/**
 * A Map-reduce program to estimate the value of Pi
 * using quasi-Monte Carlo method.
 *
 * Mapper:
 *   Generate points in a unit square

From source file com.github.karahiyo.hadoop.mapreduce.examples.RandomTextWriter.java

/**
 * This program uses map/reduce to just run a distributed job where there is
 * no interaction between the tasks and each task writes a large unsorted
 * random sequence of words.
 * In order for this program to generate data for terasort with a 5-10 words
 * per key and 20-100 words per value, have the following config:

From source file com.github.karahiyo.hadoop.mapreduce.examples.RandomWriter.java

/**
 * This program uses map/reduce to just run a distributed job where there is
 * no interaction between the tasks and each task write a large unsorted
 * random binary sequence file of BytesWritable.
 * In order for this program to generate data for terasort with 10-byte keys
 * and 90-byte values, have the following config:

From source file com.github.karahiyo.hadoop.mapreduce.examples.SleepJob.java

/**
 * Dummy class for testing MR framefork. Sleeps for a defined period 
 * of time in mapper and reducer. Generates fake input for map / reduce 
 * jobs. Note that generated number of input pairs is in the order 
 * of <code>numMappers * mapSleepTime / 100</code>, so the job uses
 * some disk space.

From source file com.github.karahiyo.hadoop.mapreduce.examples.Sort.java

/**
 * This is the trivial map/reduce program that does absolutely nothing
 * other than use the framework to fragment and sort the input values.
 *
 * To run: bin/hadoop jar build/hadoop-examples.jar sort
 *            [-m <i>maps</i>] [-r <i>reduces</i>]