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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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Introducing the Cardinality Estimator

Before we get started, it’s important to have a common frame of reference for a few terms that will be referenced throughout this book:

  • Cardinality: Cardinality in a database is defined as the number of records, also called tuples, in each table or view.
  • Density: This term represents the average number of duplicate values in each column or column set – in other words, the average distribution of unique values in the data. It’s defined as 1 divided by the number of distinct values.
  • Frequency: This term represents the average number of occurrences of a given value in a column or column set. It’s defined as the number of rows times the density.
  • Selectivity: This term represents the fraction of the row count that satisfies a given predicate, between zero and one. This is calculated as the predicate cardinality (Pc) divided by the table cardinality (Tc) multiplied by 100: (Pc ÷ Tc) × 100. As...
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Learn T-SQL Querying - Second Edition
Published in: Feb 2024Publisher: PacktISBN-13: 9781837638994

Authors (2)

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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

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