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Learn T-SQL Querying

You're reading from   Learn T-SQL Querying A guide to developing efficient and elegant T-SQL code

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Product type Paperback
Published in Feb 2024
Publisher Packt
ISBN-13 9781837638994
Length 456 pages
Edition 2nd Edition
Languages
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Authors (2):
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Pedro Lopes Pedro Lopes
Author Profile Icon Pedro Lopes
Pedro Lopes
Pam Lahoud Pam Lahoud
Author Profile Icon Pam Lahoud
Pam Lahoud
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Toc

Table of Contents (18) Chapters Close

Preface 1. Part 1: Query Processing Fundamentals
2. Chapter 1: Understanding Query Processing FREE CHAPTER 3. Chapter 2: Mechanics of the Query Optimizer 4. Part 2: Dos and Don’ts of T-SQL
5. Chapter 3: Exploring Query Execution Plans 6. Chapter 4: Indexing for T-SQL Performance 7. Chapter 5: Writing Elegant T-SQL Queries 8. Chapter 6: Discovering T-SQL Anti- Patterns in Depth 9. Part 3: Assembling Our Query Troubleshooting Toolbox
10. Chapter 7: Building Diagnostic Queries Using DMVs and DMFs 11. Chapter 8: Building XEvent Profiler Traces 12. Chapter 9: Comparative Analysis of Query Plans 13. Chapter 10: Tracking Performance History with Query Store 14. Chapter 11: Troubleshooting Live Queries 15. Chapter 12: Managing Optimizer Changes 16. Index 17. Other Books You May Enjoy

Summary

This chapter covered the important topic of storing query performance statistics in the flight recorder, which is the Query Store, which allows us to access query plans and their runtime statistics, along with how they change over time. With what we’ve learned so far in all the previous chapters of this book (especially in Chapter 3, Exploring Query Execution Plans, about what information lies inside query plans), we can now more easily find resolutions for performance problems. We can easily identify plans that must be tuned, or for quick mitigation, just return to a known good plan that had been stored in Query Store. We also learned how the Query Store enables several helpful features that allow the Query Optimizer to automatically detect and correct common query performance issues.

Finally, we covered how to use either system views or SSMS to uncover the highest resource-consuming queries executing in our databases and help us quickly find and fix query performance...

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