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For database developers, administrators, engineers, and backend developers, MySQL 8 Cookbook provides solution-focused recipes. This book takes a practical approach to solving real-world problems by showing readers how to increase database security, enhance performance, and fix common MySQL issues through the use of numerous examples.
You will learn how to install, configure, and tune MySQL for optimal performance in Linux environments. Important topics like backup strategies, security measures, query optimization, high availability, and replication are covered in each chapter. You will learn to partition and index datasets in a way that improves query performance, and the book provides step-by-step solutions to help them manage big datasets. With the help of this book, you can convert MySQL into a schema-less database that can manage unstructured data with ease, and it even handles modern data types like JSON. You can build fault-tolerant and scalable database systems including the implementation of multi-source replication, master-slave replication, and master-master replication.
Problems like table corruption, excessive CPU and memory usage, deadlocks, and replication lag are addressed in the troubleshooting sections. Also shown are methods for automating and monitoring database security using Linux tools, cron jobs, and MySQL's performance schema. Whether you're managing enterprise databases or developing backend applications, this book will teach you to improve your database management skills and ensure peak performance for systems that are critical to business.
Key Learnings
Discover the ins and outs of installing, configuring, and optimizing MySQL 8 for high-performance database systems.
Maximize database availability by implementing advanced replication setups, including master-master and multi-source.
Take advantage of partitioning and indexing techniques to efficiently manage massive datasets and improve query performance.
Use MySQL's relational and NoSQL features in combination to manage dynamic and schema-less data using JSON support.
Use cron jobs and Linux-native tools to automate backups, recovery, and security audits.
Find the cause of MySQL problems like table corruption, deadlocks, and replication lag and fix them.
Implement strong firewall settings, encryption, and user access control to protect your MySQL environment.
Use memory tuning and full-text search indexing to optimize MySQL performance and speed up queries.
Use MySQL's performance schema in conjunction with Linux tools to keep an eye on system performance and resource usage.
Table of Content
