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SQL Server 2017 Query Performance Tuning: Troubleshoot and Optimize Query Performance
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SQL Server 2017 Query Performance Tuning: Troubleshoot and Optimize Query Performance

SQL Server 2017 Query Performance Tuning: Troubleshoot and Optimize Query Performance

Grant Fritchey

932 pages, parution le 03/09/2018

Résumé

Tagline: None

Identify and fix causes of poor performance. You will learn Query Store, adaptive execution plans, and automated tuning on the Microsoft Azure SQL Database platform. Anyone responsible for writing or creating T-SQL queries will find valuable the insight into bottlenecks, including how to recognize them and eliminate them.

This book covers the latest in performance optimization features and techniques and is current with SQL Server 2017. If your queries are not running fast enough and you're tired of phone calls from frustrated users, then this book is the answer to your performance problems.

SQL Server 2017 Query Performance Tuning is about more than quick tips and fixes. You'll learn to be proactive in establishing performance baselines using tools such as Performance Monitor and Extended Events. You'll 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. The goal is to head off trouble before it occurs.


What You'll Learn

  • Use Query Store to understand and easily change query performance
  • Recognize and eliminate bottlenecks leading to slow performance
  • Deploy quick fixes when needed, following up with long-term solutions
  • Implement best practices in T-SQL to minimize performance risk
  • Design in the performance that you need through careful query and index design
  • Utilize the latest performance optimization features in SQL Server 2017
  • Protect query performance during upgrades to the newer versions of SQL Server


Who This Book Is For

Developers and database administrators with responsibility for application performance in SQL Server environments. Anyone responsible for writing or creating T-SQL queries will find valuable the insight into bottlenecks, including how to recognize them and eliminate them.

1. SQL Query Performance Tuning

2. Memory Performance Analysis

3. Disk Performance Analysis

4. CPU Performance Analysis

5. Creating a Baseline

6. Query Performance Metrics

7. Analyzing Query Performance

8. Index Architecture and Behavior

9. Index Analysis

10. Database Engine Tuning Advisor

11. Query Store

12. Key Lookups and Solutions

13. Statistics, Data Distribution, and Cardinality

14. Index Fragmentation

15. Execution Plan Generation

16. Execution Plan Cache Behavior

17. Parameter Sniffing

18. Query Recompilation

19. Query Design Analysis

20. Reduce Query Resource Use

21. Blocking and Blocked Processes

22. Causes and Solutions for Deadlocks

23. Row-By-Row Processing

24. Memory-Optimized OLTP Tables and Procedures

25. Automated Tuning in Azure SQL Database and SQL Server

26. Database Performance Testing

27. Database Workload Optimization

28. SQL Server Optimization Checklist

Grant Fritchey , Microsoft Data Platform MVP, has more than 20 years of experience in IT. That time was spent in technical support, development, and database administration. He currently works as Product Evangelist 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 2012 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) , and Expert Performance Indexing in SQL Server (Apress). Grant currently serves as President on the Board of Directors of the PASS organization, the leading source of educational content and training on the Microsoft Data Platform.

Caractéristiques techniques

  PAPIER
Éditeur(s) Apress
Auteur(s) Grant Fritchey
Parution 03/09/2018
Nb. de pages 932
EAN13 9781484238875

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