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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 2. Getting Hadoop Up and Running FREE CHAPTER 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 – representing the graph


Let's define a textual representation of the graph that we'll use in the following examples.

Create the following as graph.txt:

12,3,40C
21,4
31,5,6
41,2
53,6
63,5
76

What just happened?

We defined a file structure that will represent our graph, based somewhat on the adjacency list approach. We assumed that each node has a unique ID and the file structure has four fields, as follows:

  • The node ID

  • A comma-separated list of neighbors

  • The distance from the start node

  • The node status

In the initial representation, only the starting node has values for the third and fourth columns: its distance from itself is 0 and its status is "C", which we'll explain later.

Our graph is directional—more formally referred to as a directed graph—that is to say, if node 1 lists node 2 as a neighbor, there is only a return path if node 2 also lists node 1 as its neighbor. We see this in the graphical representation where all but one edge has an arrow on both ends.

Overview of the...

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