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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
Author Profile Icon Shilpi Saxena
Shilpi Saxena
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Toc

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

Executing the topology from Command Prompt

Once the UI is visible and all the daemons are started, the topology can be submitted on Nimbus using the following command:

storm jar storm-starter-0.0.1-SNAPSHOT-jar-with-dependencies.jar  storm.starter.WordCountTopology WordCount -c nimbus.host=localhost

The Storm UI with the WordCount topology running in distributed mode is shown here. It depicts the topology state, uptime, and other details (we shall discuss the features of the UI in detail in a later chapter). We can kill the topology from the UI.

Executing the topology from Command Prompt

Tweaking the WordCount topology to customize it

Now that we have deployed the WordCount topology in distributed mode, let's tweak the code in the bolts a bit to write WordCount onto a file. To achieve this, we will proceed with the following steps:

  1. We intend to create a new bolt, FileWriterBolt, to achieve this. Open WordCountTopology.java and add the following snippet to WordCountTopology.java:
    public static class FileWriterBolt extends BaseBasicBolt...
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