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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 2. Data Distribution FREE CHAPTER 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 4.  Data Centers

One of Cassandra's most compelling high availability features is its support for multiple data centers. In fact, this feature gives it the capability to scale reliably with a level of ease that few other data stores can match.

In this chapter, we'll explore Cassandra's data center support, covering the following topics:

  • Use cases for multiple data centers
  • Using a separate data center for online analytics
  • Replication across data centers
  • An in-depth look at configuring snitches
  • Multi-region EC2 implementations
  • Multi-data center consistency levels

Database administrators have struggled for many years to reliably replicate data across multiple geographies, a task that is made especially difficult when that system is attempting to maintain ACID guarantees. The best we could typically hope for was to keep a relatively recent backup for failover purposes.

Distributed database designs have made this easier, but many still require complex configurations...

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