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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

Secondary indices


If range queries can be considered optimal for Cassandra's storage engine, queries based on a secondary index fall at the other end of the spectrum. Secondary indices have been a part of Cassandra since the 0.7 release, and they are certainly an alluring feature. In fact, for those who are accustomed to modeling data in relational databases, creating an index is often a go-to strategy to achieve better query performance. However, as with most aspects of the transition to Cassandra, this strategy translates poorly.

To start, let's get familiar with what secondary indices are and how they work. The purpose of an index is to allow query-by-value functionality, which is not supported naturally. This should be a clue as to the potential danger involved in relying on the index functionality.

As an example, suppose we want to be able to query authors for a given publisher. Using out earlier authors table, remember that the publisher column has no special properties. It is a simple...

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