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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

Using microseconds in the DATETIME columns


There was a time when measuring dates and times accurately to within a single second were as precise as we needed it to be. However, those days are gone. Users expect their apps to have response times of well under a second, and so our databases must be able to track those times as well.

How to do it...

  1. Launch the mysql command-line client application and connect it to our MariaDB server.

  2. Create a test database if it doesn't already exist and switch to it using the following command:

    CREATE DATABASE IF NOT EXISTS test;
    USE test;
    
  3. Create a simple two-column table named times using the following command:

    CREATE TABLE times (
      id int NOT NULL AUTO_INCREMENT,
      dt datetime(6),
      PRIMARY KEY (id)
    );
    
  4. Run the following INSERT statements at least four times and add some sample data to our table using the following command:

    INSERT INTO times (dt) VALUES (NOW()), (NOW(6));
    
  5. Select all of the data from our table with the following SELECT command:

    SELECT * FROM...
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