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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

Use cases for multiple data centers

There are several key use cases for deploying Cassandra across multiple data centers, including the obvious failover and load balancing scenarios. Let's examine a few of these cases.

Live backup

Traditional database backups involve taking periodic snapshots of the data and storing them offsite in case the system fails, in which case there will be downtime as a new system is brought up and the data is restored. This strategy also inevitably leads to data loss for the time period between the last backup and the point of failure.

Cassandra supports these types of backups, and we will discuss this in greater depth in Chapter 9 , Failing Gracefully. While snapshot backups are still useful to protect against data corruption or accidental updates, Cassandra's data center support can be used to provide a current backup for cases such as hardware failures.

The basic idea involves setting up a second data center that maintains a current set of replicas...

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