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Real-time Analytics with Storm and Cassandra

You're reading from  Real-time Analytics with Storm and Cassandra

Product type Book
Published in Mar 2015
Publisher
ISBN-13 9781784395490
Pages 220 pages
Edition 1st Edition
Languages
Author (1):
Shilpi Saxena Shilpi Saxena
Profile icon Shilpi Saxena
Toc

Table of Contents (19) Chapters close

Real-time Analytics with Storm and Cassandra
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Let's Understand Storm 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 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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