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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

Replication across data centers

In previous chapters, we have touched on the idea that Cassandra can automatically replicate across multiple data centers. There are other systems that allow for similar replication; however, the ease of configuration and general robustness set Cassandra apart. Let's take a detailed look at how this works.

Setting replication factors

You will recall from Chapter 3, Replication that replication is configured via CQL at the keyspace level. Since we're on the topic of multiple data centers, it's important to understand that you'll always want to use the NetworkTopologyStrategy, since the SimpleStrategy does not allow for setting replication factor for each data center.

Attempting to use SimpleStrategy in a multi-data center environment would result in random replica placement across data centers. Coordination traffic across nodes would incur significant latency, as requests would often require nodes in more than one data center to satisfy the...

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