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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
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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

Denormalizing using collections


The introduction of collections to CQL addresses some of the concerns that frequently arose regarding Cassandra's primitive data model. They add richer capabilities that give developers more flexibility when modeling certain types of data.

Cassandra supports three collection types: sets, lists, and maps. In this section, we will examine each of these and take a look at how they're stored under the hood. But first, it's important to understand some basic rules regarding collections:

  • The size of each item in a collection must not be more than 64 KB

  • A maximum of 64,000 items may be stored in a single collection

  • Querying a collection always returns the entire collection

  • Collections are best used for relatively small, bounded datasets

With these rules in mind, we can examine each type of collection in detail, starting with sets.

Sets

A set in CQL is very similar to a set in your favorite programming language. It is a unique collection of items, meaning it does not allow...

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