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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

Using SELECT with the Cassandra storage engine


As with the previous recipe, the SELECT statements are much the same when using the Cassandra storage engine tables.

Getting ready

First, we need to complete the Using INSERT, UPDATE, and DELETE with the Cassandra storage engine recipe.

How to do it...

  1. Open the mysql command-line client and connect to our MariaDB database server and the test database.

  2. Select everything from the test01_cass table using the following command:

    SELECT * FROM test01_cass;
    
  3. Select ten rows from the notes_cass table using the following command:

    SELECT * FROM notes_cass LIMIT 10; 
    
  4. Select data with multiple WHERE clauses, an ORDER BY clause, and a LIMIT clause using the following commands:

    SELECT * FROM notes_cass 
      WHERE note_note IS NOT NULL 
        AND note_id < 500 
        AND LENGTH(note_note) < 30 
      ORDER BY note_id DESC 
      LIMIT 10; 
    
  5. Join the notes_cass table in the test database to the publishers table in the isfdb database with some WHERE clauses and a LIMIT clause...

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