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Hadoop Beginner's Guide

You're reading from   Hadoop Beginner's Guide Get your mountain of data under control with Hadoop. This guide requires no prior knowledge of the software or cloud services ‚Äì just a willingness to learn the basics from this practical step-by-step tutorial.

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Product type Paperback
Published in Feb 2013
Publisher Packt
ISBN-13 9781849517300
Length 398 pages
Edition 1st Edition
Tools
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Toc

Table of Contents (19) Chapters Close

Hadoop Beginner's Guide
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. What It's All About FREE CHAPTER 2. Getting Hadoop Up and Running 3. Understanding MapReduce 4. Developing MapReduce Programs 5. Advanced MapReduce Techniques 6. When Things Break 7. Keeping Things Running 8. A Relational View on Data with Hive 9. Working with Relational Databases 10. Data Collection with Flume 11. Where to Go Next Pop Quiz Answers Index

Time for action – creating the source code


We'll now see the source code to implement our graph traversal. Because the code is lengthy, we'll break it into multiple steps; obviously they should all be together in a single source file.

  1. Create the following as GraphPath.java with these imports:

    import java.io.* ;
    
    import org.apache.hadoop.conf.Configuration;
    import org.apache.hadoop.fs.Path;
    import org.apache.hadoop.io.Text;
    import org.apache.hadoop.mapreduce.Job;
    import org.apache.hadoop.mapreduce.*;
    import org.apache.hadoop.mapreduce.lib.input.*;
    import org.apache.hadoop.mapreduce.lib.output.*;
    
    public class GraphPath
    {
  2. Create an inner class to hold an object-oriented representation of a node:

    // Inner class to represent a node
        public static class Node
        {
    // The integer node id
            private String id ;
    // The ids of all nodes this node has a path to
            private String neighbours ;
    // The distance of this node to the starting node
            private int distance ;
    // The current node...
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