SQL Server 2025 Query Performance Tuning

ISBN-13: 9798868818646 / Angielski / Miękka

Grant Fritchey

Opis

A new era of SQL Server is here, and this latest edition of Grant Fritchey s best-selling dive into SQL Server query performance can ensure your queries keep up.The fundamentals are still here: You ll learn how statistics and indexes impact performance, how to identify poorly performing queries, and how to discover effective solutions. But this new edition also includes advanced features unique to SQL Server 2025, such as AI integration for automatic tuning, insights on using extended events, automatic execution plan correction, and more. It s a must-have resource designed to empower you to troubleshoot slow-performing queries and make them run faster than ever.The book is a treasure trove of instruction, insight, and advice. As you dive in, you ll encounter key fundamentals, from statistics and data distribution to cardinality and parameter sniffing, and learn to analyze and design your indexes and queries using best practices that prevent performance problems before they occur. You ll also explore advanced features like Query Store for managing and controlling execution plans, automated performance tuning, and memory-optimized OLTP tables and procedures and learn how SQL Server 2025 makes it all more powerful and automatable than ever.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 ForDevelopers 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