MySQL 8 Administrator???s Guide

By : Mehta, Oza, Subhash Shah

2.7 (10)

Buy this Book

MySQL 8 Administrator???s Guide

2.7 (10)

By: Mehta, Oza, Subhash Shah

Buy this Book

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.

Preface

Who this book is for

What this book covers

To get the most out of this book

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Free Chapter

An Introduction to MYSQL 8

Overview of MySQL

Core features in MySQL

Improved features in MySQL 8

Benefits of using MySQL 8

Limitations of MySQL 8

Use cases of MySQL

Summary

Installing and Upgrading MySQL 8

The MySQL 8 installation process

Post-installation setup for MySQL 8

Upgrading MySQL 8

MySQL 8 downgrading

Summary

MySQL 8 – Using Programs and Utilities

Overview of MySQL 8 programs

MySQL 8 command-line programs

MySQL 8 client programs

MySQL 8 administrative programs

MySQL 8 environment variables

MySQL GUI tools

Summary

MySQL 8 Data Types

Overview of MySQL 8 data types

Numeric data types

Date and time data types

String data types

JSON data type

Storage requirements for data types

Choosing the right data type for column

Summary

MySQL 8 Database Management

MySQL 8 server administration

Data directory

The system database

Running multiple instances on a single machine

Components and plugin management

Roles and permissions

Caching techniques

Globalization

MySQL 8 server logs

Summary

MySQL 8 Storage Engines

Overview of storage engines

Several types of storage engines

The InnoDB storage engine

Creating a custom storage engine

Summary

Indexing in MySQL 8

An overview on indexing

Column-level indexing

B-Tree index

Hash index

Index extension

Using an optimizer for indexes

Invisible and descending indexes

Summary

Replication in MySQL 8

Overview of replication

Configuring replication

Implementing replication

Group replication

Replication solutions

Summary

Partitioning in MySQL 8

Overview of partitioning

Types of partitioning

Partition management

Partition selection and pruning

Restrictions and limitations in partitioning

Summary

MySQL 8 – Scalability and High Availability

Overview of scalability and high availability in MySQL 8

Scaling MySQL 8

Challenges in scaling MySQL 8

Achieving high availability

Summary

MySQL 8 – Security

Overview of security for MySQL 8

Common security issues

Access control in MySQL 8

Account management in MySQL 8

Encryption in MySQL 8

Security plugins

Summary

Optimizing MySQL 8

Overview of MySQL 8 optimization

Optimizing MySQL 8 servers and clients

Optimizing database structure

Optimizing queries

Optimizing tables

Leveraging buffering and caching

Summary

Extending MySQL 8

An overview of extending MySQL 8

Extending plugins and using services to call them

Adding new functions

Debugging and porting

Summary

MySQL 8 Best Practices and Benchmarking

MySQL benchmarking and tools

Best practices for memcached

Best practices for replication

Best practices for data partitioning

Best practices for queries and indexing

Summary

Troubleshooting MySQL 8

MySQL 8 common problems

MySQL 8 server errors

MySQL 8 client errors

MySQL 8 troubleshooting approach

Real-world scenario

Summary

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Storage requirements for data types

This section explains storage requirements for different data types in MySQL. The storage requirements depend on different factors. The storage engines represent data types and store raw data differently.

A table has a maximum row size of 65,535 bytes, even if the storage engine is capable of supporting larger rows. BLOB and TEXT data types are excluded.

The following table explains the storage details for numeric data types:

Data Type	Storage required
`TINYINT`	1 byte
`SMALLINT`	2 bytes
`MEDIUMINT`	3 bytes
`INT`, `INTEGER`	4 bytes
`BIGINT`	8 bytes
`FLOAT(p)`	4 bytes if 0<=p<=24, 8 bytes if 25<=p<=53
`FLOAT`	4 bytes
`DOUBLE [precision]`, `REAL`	8 bytes
`DECIMAL(M, D)`, `NUMERIC(M, D)`	Varies
`BIT(M)`	Approximately (M+7)/8 bytes