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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

Technical requirements

The examples used in this chapter are designed for use on SQL Server 2022 and Azure SQL Database, but they should work on any version of SQL Server that is 2012 or later. The Developer edition of SQL Server is free for dev environments and can be used to run all the code samples. There is also a free tier of Azure SQL Database you can use for testing at https://aka.ms/freedb.

You will need the sample databases AdventureWorks2016_EXT (referred to as AdventureWorks) and AdventureWorksDW2016_EXT (referred to as AdventureWorksDW), which can be found on GitHub at https://github.com/Microsoft/sql-server-samples/releases/tag/adventureworks. Code samples for this chapter can also be found on GitHub at https://github.com/PacktPublishing/Learn-T-SQL-Querying-Second-Edition/tree/main/ch9.

Query plan comparison

Throughout their careers, database professionals are likely to encounter some of the following scenarios:

  • Troubleshooting point-in-time performance...
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