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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 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
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 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
1. Query Performance Tuning.- 2. Execution Plan Generation and the Query Optimizer.- 3. Methods for Capturing Query Performance Metrics.- 4. Analyzing Query Behavior Using Execution Plans.- 5. Statistics, Data Distribution, and Cardinality.- 6. Using Query Store for Query Performance and Execution Plans.- 7. Execution Plan Cache Behavior.- 8. Query Recompilation.- 9. Index Architecture.- 10. Index Behaviors.- 11. Key Lookups and Solutions.- 12. Dealing with Index Fragmentation.- 13. Parameter Sensitive Queries: Causes and Solutions.- 14. Query Design Analysis.- 15. Reduce Query Resource Use.- 16. Blocking and Blocked Processes.- 17. Causes and Solutions for Deadlocks.- 18. Row-By-Row Processing from Cursors and Other Causes.- 19. Memory-Optimized OLTP Tables and Procedures.- 20. Graph Databases.- 21. Intelligent Query Processing.- 22. Automated Tuning in Azure and SQL Server.- 23. A Query Tuning Methodology.
| Erscheinungsjahr: | 2026 |
|---|---|
| Genre: | Importe, Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Inhalt: |
xxvii
756 S. 355 s/w Illustr. 756 p. 355 illus. |
| ISBN-13: | 9798868818646 |
| Sprache: | Englisch |
| Herstellernummer: | 89569911 |
| Einband: | Kartoniert / Broschiert |
| Autor: | Fritchey, Grant |
| Auflage: | Seventh Edition |
| Hersteller: |
Apress
Apress L.P. |
| Verantwortliche Person für die EU: | APress in Springer Science + Business Media, Heidelberger Platz 3, D-14197 Berlin, juergen.hartmann@springer.com |
| Maße: | 254 x 178 x 42 mm |
| Von/Mit: | Grant Fritchey |
| Erscheinungsdatum: | 01.02.2026 |
| Gewicht: | 1,446 kg |
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