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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
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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

Reading and writing CSV data using CONNECT


CSV (comma separated values) is a very common data-interchange format. MariaDB can easily import CSV formatted files using the LOAD DATA INFILE command, and there is a CSV storage engine that stores data in the CSV format. However, neither of these handles cases where we need to be capable of querying CSV files that are updated outside of MariaDB and CSV files that we don't have to import before we can query them. The CONNECT storage engine's CSV data type allows us to do this easily.

Getting ready

We need to have some CSV data to work with for this recipe. We'll use data from the ISFDB database for this. To start with, perform the following steps:

  1. Import the ISFDB database as described in the Importing the data exported by mysqldump recipe from Chapter 2, Diving Deep into MariaDB.

  2. Install and enable the CONNECT storage engine as described in the Installing the CONNECT storage engine recipe at the beginning of this chapter.

  3. Launch the mysql command...

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