Book Image

Hadoop Essentials

By : Shiva Achari
Book Image

Hadoop Essentials

By: Shiva Achari

Overview of this book

This book jumps into the world of Hadoop and its tools, to help you learn how to use them effectively to optimize and improve the way you handle Big Data. Starting with the fundamentals Hadoop YARN, MapReduce, HDFS, and other vital elements in the Hadoop ecosystem, you will soon learn many exciting topics such as MapReduce patterns, data management, and real-time data analysis using Hadoop. You will also explore a number of the leading data processing tools including Hive and Pig, and learn how to use Sqoop and Flume, two of the most powerful technologies used for data ingestion. With further guidance on data streaming and real-time analytics with Storm and Spark, Hadoop Essentials is a reliable and relevant resource for anyone who understands the difficulties - and opportunities - presented by Big Data today. With this guide, you'll develop your confidence with Hadoop, and be able to use the knowledge and skills you learn to successfully harness its unparalleled capabilities.
Table of Contents (15 chapters)
Hadoop Essentials
Credits
About the Author
Acknowledgments
About the Reviewers
www.PacktPub.com
Preface
3
Pillars of Hadoop – HDFS, MapReduce, and YARN
Index

Topology configuration example


Storm topology can be configured by the TopologyBuilder class by creating spouts and bolts, and then by submitting the topology.

Spouts

Some implementations of spouts are available in Storm, such as BaseRichSpout, ClojureSpout, DRPCSpout, FeederSpout, FixedTupleSpout, MasterBatchCoordinator, RichShellSpout, RichSpoutBatchTriggerer, ShellSpout, SpoutTracker, TestPlannerSpout, TestWordSpout, and TransactionalSpoutCoordinator.

We can write a custom bolts by extending any of the aforementioned classes or implementing the ISpout interface:

public class NumberSpout extends BaseRichSpout 
{
    private SpoutOutputCollector collector;
    
    private static int currentNumber = 1;
        
    @Override
    public void open( Map conf, TopologyContext context, SpoutOutputCollector collector ) 
    {
        this.collector = collector;
    }
    
    @Override
    public void nextTuple() 
    {

        // Emit the next number
        collector.emit( new Values( new Integer...