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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 2. Getting Started with Your First Topology FREE CHAPTER 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

Cassandra – gossip protocol


Gossip is a protocol wherein periodically the nodes exchange information with other nodes about the nodes they know; this way, all the nodes obtain information about each other via this peer-to-peer communication mechanism. It's very similar to real-world and social media world gossip.

Cassandra executes this mechanism every second, and one node is capable of exchanging gossip information with up to three nodes in the cluster. All these gossip messages have a version associated with them to track the chronology, and the older gossip interaction updates are overwritten chronologically by newer ones.

Now that we know what Cassandra's gossip is like at a very high level, let's have a closer look at it and understand the purpose of this chatty protocol. Here are the two broad purposes served by having this in place:

  • Bootstrapping

  • Failure scenario handling—detection and recovery

Let's understand what they mean in action and what their contribution is towards the well-being...

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