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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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Functions in our predicate

Search predicates should only use deterministic function calls. Calls to non-deterministic functions with columns for parameters cause the SQL Database Engine to be unable to reference the selectivity of those columns, as the result of the function is unknown at compile time. Because of this, they cause unnecessary scans.

Keep in mind what was discussed in previous chapters: that the Query Optimizer uses statistics and some internal transformation rules and heuristics at compile time to determine a good enough plan to execute a query; and how the WHERE clause is one of the first to be evaluated during logical query processing. The Query Optimizer depends on the estimated cost to resolve the search predicates to choose whether to do seeks or scans over indexes.

The following example shows a query executed in the AdventureWorks sample database that uses non-deterministic function calls in the search predicate:

SELECT SalesOrderID, OrderDate
FROM Sales...
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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