Book Image

MySQL 8 Cookbook

By : Karthik Appigatla
Book Image

MySQL 8 Cookbook

By: Karthik Appigatla

Overview of this book

MySQL is one of the most popular and widely used relational databases in the World today. The recently released MySQL 8 version promises to be better and more efficient than ever before. This book contains everything you need to know to be the go-to person in your organization when it comes to MySQL. Starting with a quick installation and configuration of your MySQL instance, the book quickly jumps into the querying aspects of MySQL. It shows you the newest improvements in MySQL 8 and gives you hands-on experience in managing high-transaction and real-time datasets. If you've already worked with MySQL before and are looking to migrate your application to MySQL 8, this book will also show you how to do that. The book also contains recipes on efficient MySQL administration, with tips on effective user management, data recovery, security, database monitoring, performance tuning, troubleshooting, and more. With quick solutions to common and not-so-common problems you might encounter while working with MySQL 8, the book contains practical tips and tricks to give you the edge over others in designing, developing, and administering your database effectively.
Table of Contents (20 chapters)
Title Page
Dedication
Packt Upsell
Contributors
Preface
Index

Using JSON


As you have seen in the previous chapter, to store data in MySQL, you have to define the database and table structure (schema), which is a major limitation. To cope with that, from MySQL 5.7, MySQL supports the JavaScript Object Notation (JSON) datatype. Earlier there was no separate datatype and it was stored as a string. The new JSON datatype provides automatic validation of JSON documents and optimized storage format.

JSON documents are stored in binary format, which enables the following:

  • Quick-read access to document elements
  • No need for the value to be parsed from a text representation when the server reads the JSON again
  • Looking up subobjects or nested values directly by key or array index without reading all values before or after them in the document

How to do it...

Suppose you want to store more details about your employees; you can save them using JSON:

CREATETABLEemp_details(
emp_no intprimary key,
detailsjson
);

Insert JSON

INSERTINTOemp_details(emp_no, details)
VALUES('1...