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Learning Real-time Analytics with Storm and Cassandra

You're reading from   Learning Real-time Analytics with Storm and Cassandra Solve real-time analytics problems effectively using Storm and Cassandra

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Product type Paperback
Published in Mar 2015
Publisher
ISBN-13 9781784395490
Length 220 pages
Edition 1st Edition
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Author (1):
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Shilpi Saxena Shilpi Saxena
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Shilpi Saxena
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Table of Contents (14) Chapters Close

Preface 1. Let's Understand Storm FREE CHAPTER 2. Getting Started with Your First Topology 3. Understanding Storm Internals by Examples 4. Storm in a Clustered Mode 5. Storm High Availability and Failover 6. Adding NoSQL Persistence to Storm 7. Cassandra Partitioning, High Availability, and Consistency 8. Cassandra Management and Maintenance 9. Storm Management and Maintenance 10. Advance Concepts in Storm 11. Distributed Cache and CEP with Storm A. Quiz Answers Index

Integrating Storm with RabbitMQ


Now that we have installed Storm, the next step will be to integrate RabbitMQ with Storm, for which we will have to create a custom spout called the RabbitMQ spout. This spout will read the messages from the specified queue; thus, it will furnish the role of a consumer, and then push these messages to a downstream topology.

Here is how the spout code will look:

public class AMQPRecvSpout implements IRichSpout{

//The constructor where we set initialize all properties
  public AMQPRecvSpout(String host, int port, String username,  String password, String vhost, boolean requeueOnFail, boolean  autoAck) {
    this.amqpHost = host;
    this.amqpPort = port;
    this.amqpUsername = username;
    this.amqpPasswd = password;
    this.amqpVhost = vhost;
    this.requeueOnFail = requeueOnFail;
    this.autoAck = autoAck;
  }
/*
Open method of the spout , here we initialize the prefetch count ,  this parameter specified how many messages would be prefetched  from the...
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