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

Hadoop-specific data types


Up to this point we've glossed over the actual data types used as the input and output of the map and reduce classes. Let's take a look at them now.

The Writable and WritableComparable interfaces

If you browse the Hadoop API for the org.apache.hadoop.io package, you'll see some familiar classes such as Text and IntWritable along with others with the Writable suffix.

This package also contains the Writable interface specified as follows:

import java.io.DataInput ;
import java.io.DataOutput ;
import java.io.IOException ;

public interface Writable
{
void write(DataOutput out) throws IOException ;
void readFields(DataInput in) throws IOException ;
}

The main purpose of this interface is to provide mechanisms for the serialization and deserialization of data as it is passed across the network or read and written from the disk. Every data type to be used as a value input or output from a mapper or reducer (that is, V1, V2, or V3) must implement this interface.

Data to be...