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MySQL 8 Cookbook

By : Karthik Appigatla

3.5 (4)

MySQL 8 Cookbook

3.5 (4)

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.

Preface

Preface

Who this book is for

What this book covers

To get the most out of this book

Sections

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Free Chapter

MySQL 8 - Installing and Upgrading

MySQL 8 - Installing and Upgrading

Introduction

Installing MySQL using YUM/APT

Installing MySQL 8.0 using RPM or DEB files

Installing MySQL on Linux using Generic Binaries

Starting or Stopping MySQL 8

Uninstalling MySQL 8

Managing the MySQL Server with systemd

Downgrading from MySQL 8.0

Upgrading to MySQL 8.0

Installing MySQL utilities

Using MySQL

Using MySQL

Introduction

Connecting to MySQL using the command-line client

Creating databases

Creating tables

Inserting, updating, and deleting rows

Loading sample data

Selecting data

Sorting results

Grouping results (aggregate functions)

Creating users

Granting and revoking access to users

Selecting data into a file and table

Loading data into a table

Joining tables

Stored procedures

Functions

Triggers

Views

Events

Getting information about databases and tables

Using MySQL (Advanced)

Using MySQL (Advanced)

Introduction

Using JSON

Common table expressions (CTE)

Generated columns

Window functions

Configuring MySQL

Configuring MySQL

Introduction

Using config file

Using global and session variables

Using parameters with startup script

Configuring the parameters

Changing the data directory

Transactions

Transactions

Introduction

Performing transactions

Using savepoints

Isolation levels

Locking

Binary Logging

Binary Logging

Introduction

Using binary logging

Binary log format

Extracting statements from a binary log

Ignoring databases to write to a binary log

Relocating binary logs

Backups

Backups

Introduction

Taking backups using mysqldump

Taking backups using mysqlpump

Taking backups using mydumper

Taking backups using flat files

Taking backups using XtraBackup

Locking instances for backup

Binary log backup

Restoring Data

Restoring Data

Introduction

Recovering from mysqldump and mysqlpump

Recovering from mydumper using myloader

Recovering from flat file backup

Performing point-in-time recovery

Replication

Replication

Introduction

Setting up replication

Setting up master-master replication

Setting up multi-source replication

Setting up replication filters

Switching slave from master-slave to chain replication

Switching the slave from chain replication to master-slave

Setting up delayed replication

Setting up GTID replication

Setting up semi-synchronous replication

Table Maintenance

Table Maintenance

Introduction

Installing Percona Toolkit

Altering tables

Moving tables across databases

Altering tables using an online schema change tool

Archiving tables

Cloning tables

Partitioning tables

Partition pruning and selection

Partition management

Partition information

Efficiently managing time to live and soft delete rows

Managing Tablespace

Managing Tablespace

Introduction

Changing the number or size of InnoDB redo log files

Resizing the InnoDB system tablespace

Creating file-per-table tablespaces outside the data directory

Copying file-per-table tablespaces to another instance

Managing UNDO tablespace

Managing general tablespace

Compressing InnoDB tables

Managing Logs

Managing Logs

Introduction

Managing the error log

Managing the general query log and slow query log

Managing the binary logs

Performance Tuning

Performance Tuning

Introduction

The explain plan

Benchmarking queries and the server

Adding indexes

Invisible index

Descending index

Analyzing slow queries using pt-query-digest

Optimizing datatypes

Removing duplicate and redundant indexes

Checking index usage

Controlling the query optimizer

Using index hints

Indexing for JSON using generated columns

Using resource groups

Using performance_schema

Using the sys schema

Security

Security

Introduction

Securing installation

Restricting networks and users

Password-less authentication using mysql_config_editor

Resetting the root password

Setting up encrypted connections using X509

Setting up SSL replication

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Grouping results (aggregate functions)

You can group the results using the GROUP BY clause on a column and then use AGGREGATE functions, such as COUNT, MAX, MIN, and AVERAGE. You can also use the function on a column in a group by clause. See the SUM example where you will use the YEAR() function.

How to do it...

Each of the previously-mentioned aggregate functions will be introduced to you here in detail.

COUNT

Find the count of male and female employees:

mysql> SELECT gender, COUNT(*) AS count FROM employees GROUP BY gender;
+--------+--------+
| gender | count  |
+--------+--------+
| M      | 179973 |
| F      | 120051 |
+--------+--------+
2 rows in set (0.14 sec)

You want to find the 10 most common first names of the employees. You can use GROUP BY first_name to group all the first names, then COUNT(first_name) to find the count inside the group, and finally the ORDER BY count to sort the results. LIMIT these results to the top 10:

mysql> SELECT first_name, COUNT(first_name) AS count...

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