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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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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

Multiple data centers


In practical scenarios, we would want to have Cassandra clusters distributed across different data centers so that the system is more reliable and resilient overall to localized network snags and physical disasters.

Prerequisites for setting up multiple data centers

The following are a set of prerequisites that should be used for setting up multiple data centers:

  • Have Cassandra installed on each node

  • Have the IP address of each node in the cluster

  • Identify the cluster names

  • Identify the seed nodes

  • Identify the snitch that is to be used

Installing Cassandra data centers

The following are a set of steps to set up Cassandra data centers:

  1. Let's start with an assumption that we have already installed Cassandra on the following nodes:

    10.188.66.41 (seed1)

    10.196.43.66

    10.188.247.41

    10.196.170.59 (seed2)

    10.189.61.170

    10.189.30.138

  2. Assign tokens using the token generation Python script defined in the previous section to each of the preceding nodes.

  3. Let's say we align to the following distribution...

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