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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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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

Discovering T-SQL Anti- Patterns in Depth

In Chapter 5, Writing Elegant T-SQL Queries, we covered some anti-patterns that may impact query performance that should be obvious just by reading the T-SQL code itself. Now we will move on to some anti-patterns that may require some more in-depth analysis to be identified. These often involve T-SQL that at first glance seems straightforward, but when we dig into the query plan, there may be hidden performance pitfalls such as expensive operations or hidden practices that prevent predicate SARGability.

In this chapter we will cover the following topics:

  • Implicit conversions
  • Avoiding unnecessary sort operations
  • Avoiding UDF pitfalls
  • Avoiding unnecessary overhead with stored procedures
  • Pitfalls of complex views
  • Pitfalls of correlated sub-queries
  • Properly storing intermediate results
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