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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

Introduction


In this chapter, we will explore some of the features of the CONNECT storage engine. This storage engine allows us to access data in various file formats such as XML, CSV, and other types of files stored on our host system. Its purpose is to connect MariaDB to these various data types. It's a very handy tool for bringing various pieces of an infrastructure together. So, the CONNECT storage engine tables are not exactly tables in the traditional sense (they may not even physically exist). With that in mind, there are some things we need to realize when working with this storage engine.

First, DROP TABLE does not delete content the way MyISAM, InnoDB, and other tables do. CONNECT tables are definitions of where the data we want to access is and what format it is in. For example, an XML file stored in a user's home directory. When we drop a CONNECT table using DROP, we are dropping the where-and-what definition stored in the CONNECT table and not the data itself.

Secondly, indexing...

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