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MariaDB Cookbook

You're reading from   MariaDB Cookbook Learn how to use the database that's growing in popularity as a drop-in replacement for MySQL. The MariaDB Cookbook is overflowing with handy recipes and code examples to help you become an expert simply and speedily.

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Product type Paperback
Published in Mar 2014
Publisher
ISBN-13 9781783284399
Length 282 pages
Edition Edition
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Author (1):
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Daniel Bartholomew Daniel Bartholomew
Author Profile Icon Daniel Bartholomew
Daniel Bartholomew
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Toc

Table of Contents (20) Chapters Close

MariaDB Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Getting Started with MariaDB FREE CHAPTER 2. Diving Deep into MariaDB 3. Optimizing and Tuning MariaDB 4. The TokuDB Storage Engine 5. The CONNECT Storage Engine 6. Replication in MariaDB 7. Replication with MariaDB Galera Cluster 8. Performance and Usage Statistics 9. Searching Data Using Sphinx 10. Exploring Dynamic and Virtual Columns in MariaDB 11. NoSQL with HandlerSocket 12. NoSQL with the Cassandra Storage Engine 13. MariaDB Security Index

Introduction


One recent trend in the database world has been the development and use of NoSQL databases. This trend arose from a realization that relational database servers that use SQL, such as MariaDB, are not always the right tool for the job. Sometimes nonrelational, specialized, scalable, and clustered key-value databases work better for specific tasks.

Another trend is the addition of virtual columns to databases. These columns don't change how the data is accessed as dynamic columns do. What they do is change how the data in them is stored. In short, the data is derived from the values of other columns in the row, similar to a spreadsheet.

The MariaDB developers see the value in such nontraditional database features, and have implemented these and others in MariaDB to make it as flexible and as capable a database server as possible.

Both the chapters following this one delve into a couple of additional NoSQL features of MariaDB, HandlerSocket and the Cassandra storage engine, respectively...

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