SQL Server 2022 Query Performance Tuning
Apress (Verlag)
978-1-4842-8890-0 (ISBN)
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)
Grant Fritchey is a Microsoft Data Platform MVP and AWS Community Builder. He has more than 30 years of experience in IT technical support, development, and database administration. He currently works as Product Advocate at Red Gate Software. Grant writes articles for publication at SQL Server Central and Simple-Talk. He has published books, including SQL Server Execution Plans and SQL Server 2017 Query Performance Tuning (Apress). He has written chapters for Beginning SQL Server 2012 Administration (Apress), SQL Server Team-based Development, SQL Server MVP Deep Dives Volume 2, Pro SQL Server 2012 Practices (Apress), Expert Performance Indexing in SQL Server (Apress), and Query Store for SQL Server 2019 (Apress). Grant presents live sessions, virtual sessions, and recorded content online and in-person, all around the world.
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.
| Erscheinungsdatum | 12.11.2022 |
|---|---|
| Zusatzinfo | 342 Illustrations, black and white; XXV, 720 p. 342 illus. |
| Verlagsort | Berkley |
| Sprache | englisch |
| Maße | 178 x 254 mm |
| Themenwelt | Informatik ► Datenbanken ► SQL Server |
| Mathematik / Informatik ► Informatik ► Software Entwicklung | |
| Schlagworte | Adaptive Execution Plans • Automated Tuning • AWS RDS SQL Server • Azure SQL Database • Cardinality estimation • Columnstore • deadlocks • Extended Events • Google Cloud Databases SQL Server • Locking • performance optimization • Query Store • SQL Server Execution Plans • SQL Server Management Studio • SQL Server Performance Best Practices • SQL Server Query Execution Plans • SQL Server Query Plans • SQL Server statistics |
| ISBN-10 | 1-4842-8890-4 / 1484288904 |
| ISBN-13 | 978-1-4842-8890-0 / 9781484288900 |
| Zustand | Neuware |
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