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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
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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

Avoiding unnecessary sort operations

Sort operations in a query plan are very expensive, so we need to avoid anything that might introduce a sort where it is not needed. Using ORDER BY in our query practically guarantees a sort unless we happen to be able to leverage an index and an ordered scan.

Tip

If your query needs to produce an ordered result set and uses a covering index, ensure the index sort order is the same as the query’s desired order. This will increase the likelihood that the SQL Database Engine can leverage the index to order the rows rather than having to do a costly sort operation.

This may be necessary if we need our result set to be returned in a specific order, but if order is not important, this is just overhead.

In this section, we will look at a few examples that may introduce an unnecessary sort operation.

UNION ALL versus UNION

The UNION and UNION ALL syntax is used to combine the results of two separate queries into a single result...

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