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

Partitioning tables


You can distribute portions of individual tables across a filesystem using partitions. The user-selected rule by which the division of data is accomplished is known as a partitioning function, which can be modulus, simple matching against a set of ranges or value lists, an internal hashing function, or a linear hashing function.

Different rows of a table may be assigned to different physical partitions, which is called horizontal partitioning. MySQL does not have support for vertical partitioning, in which different columns of a table are assigned to different physical partitions.

There are many ways to partition a table:

  • RANGE: This type of partitioning assigns rows to partitions based on column values falling within a given range.
  • LIST: Similar to partitioning by RANGE, except that the partition is selected based on columns matching one of a set of discrete values.
  • HASH: With this type of partitioning, a partition is selected based on the value returned by a user-defined...