SQL Server 2022 Query Performance Tuning

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Sprache: Englisch

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Beschreibung

Troubleshoot slow-performing queries and make them run faster. Database administrators and SQL developers are constantly under pressure to provide more speed. This new edition has been redesigned and rewritten from scratch based on the last 15 years of learning, knowledge, and experience accumulated by the author. The book Includes expanded information on using extended events, automatic execution plan correction, and other advanced features now available in SQL Server. These modern features are covered while still providing the necessary fundamentals to better understand how statistics and indexes affect query performance.

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 queryand 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

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 queryand 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

Über den Autor

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.

Zusammenfassung

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.

Inhaltsverzeichnis

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.

Details

Erscheinungsjahr:	2022
Genre:	Importe , Informatik
Rubrik:	Naturwissenschaften & Technik
Medium:	Taschenbuch
Inhalt:	XXV 720 S. 342 s/w Illustr.
ISBN-13:	9781484288900
ISBN-10:	1484288904
Sprache:	Englisch
Einband:	Kartoniert / Broschiert
Autor:	Fritchey, Grant
Auflage:	6th edition
Hersteller:	APRESS
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 40 mm
Von/Mit:	Grant Fritchey
Erscheinungsdatum:	10.11.2022
Gewicht:	1,313 kg

Artikel-ID: 123650363