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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 data from a dynamic column


Reading data from a dynamic column is not the same as with traditional columns. Without some help from a set of special dynamic columns functions, the standard MariaDB SELECT statements will not understand how to properly read the data stored in a dynamic columns BLOB. They will see it as a BLOB column and treat it like any other BLOB. This recipe introduces and demonstrates the basic functions used when reading a dynamic column.

Getting ready

Complete the Creating tables with dynamic columns recipe and the Inserting, updating, and deleting dynamic column data recipe in this chapter.

How to do it...

  1. Launch the mysql command-line client. Connect to our MariaDB server and the test database.

  2. Discover the columns in our data:

    SELECT id, COLUMN_LIST(dyn_cols) FROM dyn_example;
    

    The following screenshot displays the columns in our data:

  3. Read data from our table using the following commands:

    SELECT id,
      COLUMN_GET(dyn_cols, 'name' AS CHAR) AS 'name',
      COLUMN_GET(dyn_cols...
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