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Hadoop Essentials

You're reading from   Hadoop Essentials Delve into the key concepts of Hadoop and get a thorough understanding of the Hadoop ecosystem

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Product type Paperback
Published in Apr 2015
Publisher Packt
ISBN-13 9781784396688
Length 194 pages
Edition 1st Edition
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Author (1):
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Shiva Achari Shiva Achari
Author Profile Icon Shiva Achari
Shiva Achari
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Toc

Table of Contents (9) Chapters Close

Preface 1. Introduction to Big Data and Hadoop FREE CHAPTER 2. Hadoop Ecosystem 3. Pillars of Hadoop – HDFS, MapReduce, and YARN 4. Data Access Components – Hive and Pig 5. Storage Component – HBase 6. Data Ingestion in Hadoop – Sqoop and Flume 7. Streaming and Real-time Analysis – Storm and Spark 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...
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