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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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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

Mapping data between MariaDB and Cassandra


To access data stored in a Cassandra cluster from MariaDB, we create a special table that defines where the Cassandra cluster we want to connect with is located, and how the data stored there should be treated in MariaDB.

Getting ready

We should complete the Installing the Cassandra storage engine recipe before starting this recipe.

Also, before we can complete this recipe, we need to have a running installation of Cassandra that we can connect to from our MariaDB server. The following are the instructions for installing a single-node Cassandra instance on the same host as we are running MariaDB on.

It is also worth noting that the Cassandra storage engine works better with Cassandra version 1.x than with Cassandra 2.0 and later. This is because of changes to the Cassandra data model and the introduction of password-based authentication. These changes will be addressed in future updates to the Cassandra storage engine.

On Red Hat, CentOS, and Fedora...

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