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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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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

Fuzzy string matching

When searching for strings in SQL Server using =, the strings must match exactly for the expression to evaluate to true. If we want to match only part of the string however, we must use a LIKE operator with wildcards. If we want to search for a pattern anywhere within a string, we need both leading and trailing wildcards. The problem with this is that it prevents us from being able to use an index or accurately estimate the cardinality . An index with a string key is sorted, starting with the first character of the string, but if we are searching for a pattern that may appear in the middle of the string, SQL Server must scan every value and search for the matching pattern in each string in the column. A LIKE operator with a leading wildcard ("%a value" or "%a value%") almost always causes a scan operation.

Consider an example from the...

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