SQL Server 2022 Query Performance Tuning

The book gives you knowledge and tools to help you identify poorly performing queries and understand the possible causes of that poor performance. The book also provides mechanisms for resolving the issues identified, whether on-premises, in containers, or on cloud platform providers. You’ll learn about key fundamentals, such as statistics, data distribution, cardinality, and parameter sniffing. You’ll learn to analyze and design your indexes and your queries using best practices that ward off performance problems before they occur. You’ll also learn to use important modern features, such as Query Store to manage and control execution plans, the automated performance tuning feature set, and memory-optimized OLTP tables and procedures. You will be able to troubleshoot in a systematic way. Query tuning doesn’t have to be difficult. This book helps you to make it much easier.

What You Will Learn

• Use Query Store to understand and easily change query performance
• Recognize and eliminate bottlenecks leading to slow performance
• Tune queries whether on-premises, in containers, or on cloud platform providers
• Implement best practices in T-SQL to minimize performance risk
• Design in the performance that you need through careful query and index design
• Understand how built-in, automatic tuning can assist your performance enhancement efforts
• Protect query performance during upgrades to the newer versions of SQL Server

Who This Book Is For

Developers and database administrators with responsibility for query performance in SQL Server environments, and anyone responsible for writing or creating T-SQL queries and in need of insight into bottlenecks (including how to identify them, understand them, and eliminate them)