SQL Server Query Performance Tuning - Grant Fritchey

SQL Server Query Performance Tuning

(Autor)

Buch | Softcover
612 Seiten
2014 | 4th ed.
Apress (Verlag)
978-1-4302-6743-0 (ISBN)
53,49 inkl. MwSt
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Put the principles and lessons from SQL Server Query Performance Tuning into practice today.

Covers the in-memory features from Project Hekaton
Helps establish performance baselines and monitor against them
Guides in troubleshooting and eliminating of bottlenecks that frustrate users
Queries not running fast enough? Wondering about the in-memory database features in 2014? Tired of phone calls from frustrated users? Grant Fritchey’s book SQL Server Query Performance Tuning is the answer to your SQL Server query performance problems. The book is revised to cover the very latest in performance optimization features and techniques, especially including the newly-added, in-memory database features formerly known under the code name Project Hekaton. This book provides the tools you need to approach your queries with performance in mind.

SQL Server Query Performance Tuning leads you through understanding the causes of poor performance, how to identify them, and how to fix them. You’ll learn to be proactive in establishing performance baselines using tools like Performance Monitor and Extended Events. You’ll learn to recognize bottlenecks and defuse them before the phone rings. You’ll learn some quick solutions too, but emphasis is on designing for performance and getting it right, and upon heading off trouble before it occurs. Delight your users. Silence that ringing phone. Put the principles and lessons from SQL Server Query Performance Tuning into practice today.



Covers the in-memory features from Project Hekaton
Helps establish performance baselines and monitor against them
Guides in troubleshooting and eliminating of bottlenecks that frustrate users

Sajal Dam holds a master's of technology degree in computer science from the Indian Institute of Science, Bangalore, and has been working with Microsoft technologies for over 12 years. He has developed an extensive background in designing database applications and managing software development. Sajal also possesses significant experience in troubleshooting and optimizing the performance of Microsoft-based applications, from front-end web pages to back-end databases. While working at Microsoft, Sajal helped many Fortune 500 companies design scalable database solutions and maximize the performance of their database environments. As an IT strategist at Dell, Sajal manages Dell's vast database infrastructure by optimizing not only the databases, but also the database management processes, tools, and use of best practices. He also works closely with the application development teams and vendors, including Microsoft, in analyzing and resolving performance bottlenecks.

1. SQL Query Performance Tuning

2. Memory Performance Analysis

3. Disk Performance Analysis

4. CPU Performance Analysis

5. Creating a Baseline

6. SQL Query Performance

7. SQL Query Performance

8. Index Architecture and Behavior

9. Index Analysis

10. Database Engine Tuning Advisor

11. Key Lookups and Solutions

12. Statistics, Data Distribution, and Cardinality

13. Index Fragmentation

14. Execution Plan Generation

15. Execution Plan Cache Behavior

16. Parameter Sniffing

17. Query Recompilation

18. Query Design Analysis

19. Reduce Query Resource Use

20. Blocking and Blocked Processes

21. Causes and Solutions for Deadlocks

22. Row-By-Row Processing

23. Memory-Optimized OLTP Tables and Procedures

24. Database Performance Testing

25. Database Workload Optimization

26. SQL Server Optimization Checklist

Zusatzinfo 344 Illustrations, black and white; XXIX, 612 p. 344 illus.
Verlagsort Berlin
Sprache englisch
Maße 178 x 254 mm
Themenwelt Informatik Datenbanken SQL Server
Mathematik / Informatik Informatik Programmiersprachen / -werkzeuge
Mathematik / Informatik Informatik Software Entwicklung
Schlagworte SQL Server
ISBN-10 1-4302-6743-7 / 1430267437
ISBN-13 978-1-4302-6743-0 / 9781430267430
Zustand Neuware
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