Book Image

Hadoop Beginner's Guide

Book Image

Hadoop Beginner's Guide

Overview of this book

Data is arriving faster than you can process it and the overall volumes keep growing at a rate that keeps you awake at night. Hadoop can help you tame the data beast. Effective use of Hadoop however requires a mixture of programming, design, and system administration skills."Hadoop Beginner's Guide" removes the mystery from Hadoop, presenting Hadoop and related technologies with a focus on building working systems and getting the job done, using cloud services to do so when it makes sense. From basic concepts and initial setup through developing applications and keeping the system running as the data grows, the book gives the understanding needed to effectively use Hadoop to solve real world problems.Starting with the basics of installing and configuring Hadoop, the book explains how to develop applications, maintain the system, and how to use additional products to integrate with other systems.While learning different ways to develop applications to run on Hadoop the book also covers tools such as Hive, Sqoop, and Flume that show how Hadoop can be integrated with relational databases and log collection.In addition to examples on Hadoop clusters on Ubuntu uses of cloud services such as Amazon, EC2 and Elastic MapReduce are covered.
Table of Contents (19 chapters)
Hadoop Beginner's Guide
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
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...