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Cassandra 3.x High Availability

You're reading from   Cassandra 3.x High Availability Achieve scalability and high availability without compromising on performance

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Product type Paperback
Published in Aug 2016
Publisher
ISBN-13 9781786462107
Length 196 pages
Edition 2nd Edition
Languages
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Author (1):
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Robbie Strickland Robbie Strickland
Author Profile Icon Robbie Strickland
Robbie Strickland
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Table of Contents (10) Chapters Close

Preface 1. Cassandras Approach to High Availability FREE CHAPTER 2. Data Distribution 3. Replication 4. Data Centers 5. Scaling Out 6. High Availability Features in the Native Java Client 7. Modeling for Availability 8. Anti-Patterns 9. Failing Gracefully

Chapter 2.  Data Distribution

Cassandra's peer-to-peer architecture and scalability characteristics are directly tied to its data placement scheme. Cassandra employs a distributed hash table data structure that allows for data to be stored and retrieved by key quickly and efficiently. Consistent hashing is at the core of this strategy, as it enables all nodes to understand where data exists in the cluster without complicated coordination mechanisms.

In this chapter, we'll cover the following topics:

  • The fundamentals of distributed hash tables
  • Cassandra's consistent hashing mechanism
  • Token assignment, both manual and using vnodes
  • The implications of Cassandra's partitioner implementations
  • How hotspots form in the cluster 

By the time you finish this chapter, you should have a deep understanding of these concepts. Let us begin with some basics about hash tables in general, and then we can delve deeper into Cassandra's distributed hash table implementation...

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