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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 May 2019
Publisher Packt
ISBN-13 9781789348811
Length 484 pages
Edition 1st Edition
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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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Toc

Table of Contents (18) Chapters Close

Preface 1. Section 1: Query Processing Fundamentals
2. Anatomy of a Query FREE CHAPTER 3. Understanding Query Processing 4. Mechanics of the Query Optimizer 5. Section 2: Dos and Donts of T-SQL
6. Exploring Query Execution Plans 7. Writing Elegant T-SQL Queries 8. Easily-Identified T-SQL Anti-Patterns 9. Discovering T-SQL Anti-Patterns in Depth 10. Section 3: Assemble Your Query Troubleshooting Toolbox
11. Building Diagnostic Queries Using DMVs and DMFs 12. Building XEvent Profiler Traces 13. Comparative Analysis of Query Plans 14. Tracking Performance History with Query Store 15. Troubleshooting Live Queries 16. Managing Optimizer Changes with the Query Tuning Assistant 17. Other Books You May Enjoy

Avoiding UDF pitfalls

Scalar User-Defined Functions (UDFs) are a very useful T-SQL programming artifact because they allow a specific routine to be reused very easily. However, these seemingly harmless constructs can be detrimental to performance, because the Query Optimizer does not account for any T-SQL logic inside a UDF, and UDFs are executed for every row in the result set, just like a cursor. When using scalar UDFs, there are specific recommendations that apply to UDFs that access system or user data, and recommendations that apply to all UDFs.

An example of a scalar UDF that does not access data was referenced in Chapter 4, Exploring Query Execution Plans, under the Query plan properties of interest section, as shown in the following query:

CREATE FUNCTION ufn_CategorizePrice (@Price money)
RETURNS NVARCHAR(50)
AS
BEGIN
DECLARE @PriceCategory NVARCHAR(50)
IF @Price...
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