Book Image

MySQL 8 Administrator???s Guide

By : Chintan Mehta, Ankit K Bhavsar, Hetal Oza, Subhash Shah
Book Image

MySQL 8 Administrator???s Guide

By: Chintan Mehta, Ankit K Bhavsar, Hetal Oza, Subhash Shah

Overview of this book

MySQL is one of the most popular and widely used relational databases in the world today. The recently released version 8.0 brings along some major advancements in the way your MySQL solution can be administered. This handbook will be your companion to understand the newly introduced features in MySQL and show you how you can leverage them to design a high-performance MySQL solution for your organization. This book starts with a brief introduction to the new features in MySQL 8, and then quickly jumping onto the crucial administration topics that you will find useful in your day-to-day work. Topics such as migrating to MySQL 8, MySQL benchmarking, achieving high performance by implementing the indexing techniques, and optimizing your queries are covered in this book. You will also learn how to perform replication, scale your MySQL solution and implement effective security techniques. There is also a special section on the common and not so common troubleshooting techniques for effective MySQL administration is also covered in this book. By the end of this highly practical book, you will have all the knowledge you need to tackle any problem you might encounter while administering your MySQL solution.
Table of Contents (17 chapters)

JSON data type

JSON stands for JavaScript Object Notation. Suppose that we want to store user preferences for a web application in the database. Usually, we may choose to create a separate table with id, user_id, key, value fields. This may work well for a small number of users, but in the case of thousands of users, the cost of maintenance is unaffordable compared to the value it adds to the web application.

In MySQL, we can utilize the JSON data type for this requirement. MySQL supports the native JSON data type, which enables efficient storage for JSON documents. MySQL supports automatic validation of JSON documents stored in the JSON column. Trying to store invalid JSON documents produces an error. JSON documents stored in JSON columns are converted to an internal format. The format is binary, and structured to enable the server to look up subojbects or nested values directly...