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You're reading from  Learn T-SQL Querying - Second Edition

Product typeBook
Published inFeb 2024
PublisherPackt
ISBN-139781837638994
Edition2nd Edition
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Authors (2):
Pedro Lopes
Pedro Lopes
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Pedro Lopes

Pedro Lopes is a Program Manager in the Database Systems group, based in Redmond, WA, USA. He has over 19 years of industry experience and has been with Microsoft for 9 years. He is currently responsible for program management of Database Engine features for in-market and vNext versions of SQL Server, with a special focus on the Relational Engine. He has extensive experience with query performance troubleshooting and is a regular speaker at numerous conferences such as SQLBits, PASS Summit, SQLIntersection, Microsoft Ignite, and Microsoft Build. He blogs about SQL on the SQL Server Team blog. He has authored several tools in the Tiger toolbox on GitHub: AdaptiveIndexDefrag maintenance solution, BPCheck, and usp_WhatsUp.
Read more about Pedro Lopes

Pam Lahoud
Pam Lahoud
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Pam Lahoud

Pam Lahoud is a Program Manager in the Database Systems group, based in Redmond, WA, USA. She has been with Microsoft for 13 years and is currently responsible for program management of Database Engine features for in-market and vNext versions of SQL Server, with a special focus on the Storage Engine area. She is passionate about SQL Server performance and has focused on performance tuning and optimization, particularly from the developer's perspective, throughout her career. She is a SQL Server 2008 Microsoft Certified Master (MCM) with over 20 years of experience working with SQL Server.
Read more about Pam Lahoud

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Fuzzy string matching

When searching for strings in the SQL Database Engine 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, the SQL Database Engine 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 AdventureWorks database where we want to find all the Flat Washers in the Product table. We know they all...

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Learn T-SQL Querying - Second Edition
Published in: Feb 2024Publisher: PacktISBN-13: 9781837638994

Authors (2)

author image
Pedro Lopes

Pedro Lopes is a Program Manager in the Database Systems group, based in Redmond, WA, USA. He has over 19 years of industry experience and has been with Microsoft for 9 years. He is currently responsible for program management of Database Engine features for in-market and vNext versions of SQL Server, with a special focus on the Relational Engine. He has extensive experience with query performance troubleshooting and is a regular speaker at numerous conferences such as SQLBits, PASS Summit, SQLIntersection, Microsoft Ignite, and Microsoft Build. He blogs about SQL on the SQL Server Team blog. He has authored several tools in the Tiger toolbox on GitHub: AdaptiveIndexDefrag maintenance solution, BPCheck, and usp_WhatsUp.
Read more about Pedro Lopes

author image
Pam Lahoud

Pam Lahoud is a Program Manager in the Database Systems group, based in Redmond, WA, USA. She has been with Microsoft for 13 years and is currently responsible for program management of Database Engine features for in-market and vNext versions of SQL Server, with a special focus on the Storage Engine area. She is passionate about SQL Server performance and has focused on performance tuning and optimization, particularly from the developer's perspective, throughout her career. She is a SQL Server 2008 Microsoft Certified Master (MCM) with over 20 years of experience working with SQL Server.
Read more about Pam Lahoud