MySQL 8 Query Performance Tuning

Identify, analyze, and improve poorly performing queries that damage user experience and lead to lost revenue for your business. This book will help you make query tuning an integral part of your daily routine through a multi-step process that includes monitoring of execution times, identifying candidate queries for optimization, analyzing their current performance, and improving them to deliver results faster and with less overhead. Author Jesper Krogh systematically discusses each of these steps along with the data sources and the tools used to perform them.

MySQL 8 Query Performance Tuning aims to help you improve query performance using a wide range of strategies. You will know how to analyze queries using both the traditional EXPLAIN command as well as the new EXPLAIN ANALYZE tool. You also will see how to use the Visual Explain feature to provide a visually-oriented view of an execution plan. Coverage of indexes includes indexing strategies and index statistics, and you will learn how histograms can be used to provide input on skewed data distributions that the optimizer can use to improve query performance. You will learn about locks, and how to investigate locking issues. And you will come away with an understanding of how the MySQL optimizer works, including the new hash join algorithm, and how to change the optimizer’s behavior when needed to deliver faster execution times. You will gain the tools and skills needed to delight application users and to squeeze the most value from corporate computing resources.

What You Will Learn

• Monitor query performance to identify poor performers
• Choose queries to optimize that will provide the greatest gain
• Analyze queries using tools such as EXPLAIN ANALYZE and Visual Explain
• Improve slow queries through a wide range of strategies
• Properly deploy indexes and histograms to aid in creating fast execution plans
• Understand and analyze locks to resolve contention and increase throughput

Who This Book Is For

Database administrators and SQL developers who are familiar with MySQL and need to participate in query tuning. While some experience with MySQL is required, no prior knowledge of query performance tuning is needed.

Table of Contents

Part I: Getting Started

Chapter 1: MySQL Performance Tuning

Chapter 2: Query Tuning Methodology

Chapter 3: Benchmarking with Sysbench

Chapter 4: Test Data

Part II: Sources of Information

Chapter 5: The Performance Schema

Chapter 6: The sys Schema

Chapter 7: The Information Schema

Chapter 8: SHOW Statements

Chapter 9: The Slow Query Log

Part Ill: Tools

Chapter 10: MySQL Enterprise Monitor

Chapter 11: MySQL Workbench

Chapter 12: MySQL Shell

Part IV: Schema Considerations and the Query Optimizer

Chapter 13: Data Types

Chapter 14: Indexes

Chapter 15: Index Statistics

Chapter 16: Histograms

Chapter 17: The Query Optimizer

Chapter 18: Locking Theory and Monitoring

Part V: Query Analysis

Chapter 19: Finding Candidate Queries for Optimization

Chapter 20: Analyzing Queries

Chapter 21: Transactions

Chapter 22: Diagnosing Lock Contention

Part VI: Improving the Queries

Chapter 23: Configuration

Chapter 24: Change the Query Plan

Chapter 25: DDL and Bulk Data Load

Chapter 26: Replication

Chapter 27: Caching

About the Author

Jesper Wisborg Krogh has worked with MySQL databases since 2006 both as an SQL developer, a database administrator, and for more than eight years as part of the Oracle MySQL Support team. He has spoken at MySQL Connect and Oracle OpenWorld on several occasions, and addition to his books, he regularly blogs on MySQL topics and has authored around 800 documents in the Oracle Knowledge Base. He has contributed to the sys schema and four Oracle Certified Professional (OCP) exams for MySQL 5.6 to 8.0.

He earned a PhD in computational chemistry before changing to work with MySQL and other software development in 2006. Jesper lives in Sydney, Australia, and enjoys spending time outdoors walking, traveling, and reading. His areas of expertise include MySQL Cluster, MySQL Enterprise Backup, performance tuning, and the Performance and sys schemas.