Book Image

Advanced MySQL 8

By : Eric Vanier, Birju Shah, Tejaswi Malepati
Book Image

Advanced MySQL 8

By: Eric Vanier, Birju Shah, Tejaswi Malepati

Overview of this book

Advanced MySQL 8 teaches you to enhance your existing database infrastructure and build various tools to improve your enterprise applications and overall website performance. The book starts with the new and exciting MySQL 8.0 features and how to utilize them for maximum efficiency. As you make your way through the chapters, you will learn to optimize MySQL performance using indexes and advanced data query techniques for large queries. You will also discover MySQL Server 8.0 settings and work with the MySQL data dictionary to boost the performance of your database. In the concluding chapters, you will cover MySQL 8.0 Group Replication, which will enable you to create elastic, highly available, and fault-tolerant replication topologies. You will also explore backup and recovery techniques for your databases and understand important tips and tricks to help your critical data reach its full potential. By the end of this book, you’ll have learned about new MySQL 8.0 security features that allow a database administrator (DBA) to simplify user management and increase the security of their multi-user environments.
Table of Contents (13 chapters)
11
Advanced MySQL Performance Tips and Techniques

Summary

In this chapter, we concentrated on the different storage engines available in MySQL and also looked at why InnoDB was chosen to achieve high availability. We also covered MySQL Shell and MySQL Router, and their roles in achieving high availability. We also checked out AdminAPI and how to configure an InnoDB sandbox cluster, as well as a production environment. We also went through how to manage clusters in production and discussed various scenarios and methods relevant to cluster management.

Finally, we covered how you can migrate from a master-slave replication mechanism to an InnoDB cluster, and how to make your system highly available as well as fault tolerant. In the next chapter, we will explore the best tools for monitoring your large distributed databases.