Grant Fritchey

SQL Server 2022 Query Performance Tuning (eBook, PDF)

Troubleshoot and Optimize Query Performance

• Format: PDF

Produktbeschreibung

Covers cutting-edge features like Query Store, adaptive execution plans, automated tuning in Azure.

Current with SQL Server 2017, while also covering older editions back to 2012.

Alerts you to changes in the cardinality estimation and query optimization engines that can lead to poor performance.

Describes new tooling introduced in SQL Server 2017 SQL Server Management Studio.

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Produktdetails

• Verlag: Apress
• Seitenzahl: 720
• Erscheinungstermin: 9. November 2022
• Englisch
• ISBN-13: 9781484288917
• Artikelnr.: 66389946

Autorenporträt

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.

Inhaltsangabe

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.