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)

Types of partitioning

In this section, you will understand different types of partitioning and also the purpose of using specific partitioning. The following is a list of the partitioning types that are available in MySQL 8 :

  • RANGE partitioning
  • LIST partitioning
  • COLUMNS partitioning
  • HASH partitioning
  • KEY partitioning
  • Subpartitioning

In addition to the above list, we will also see NULLhandling in MySQL 8 Partitioning in detailed section.

A very common use case for database partitioning is segregating data by date. MySQL 8 does not support date partitioning, which some database systems provide explicitly, but it is easy to create partitioning schemes with date, time, or datetime columns, or that are based on date/time related expressions that evaluate values from these column types.

You can use the date, time, or datetime types as column values for partition columns without any...