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Optimizing Your Query Plans with the SQL Server 2014 Cardinality Estimator - White paper

Antonios Chatzipavlis
Tuesday 22 April 2014

SQL Server 2014 introduces the first major redesign of the SQL Server Query Optimizer cardinality estimation process since version 7.0. The goal for the redesign was to improve accuracy, consistency and supportability of key areas within the cardinality estimation process, ultimately affecting average query execution plan quality and associated workload performance. This paper provides an overview of the primary changes made to the cardinality estimator functionality by the Microsoft query processor team, covering how to enable and disable the new cardinality estimator behavior, and showing how to troubleshoot plan-quality regressions if and when they occur.

To review the document, please download the Optimizing Your Query Plans with the SQL Server 2014 Cardinality Estimator Word document.


Antonios Chatzipavlis

Antonios Chatzipavlis

Antonios Chatzipavlis is a highly experienced Data Solutions Consultant and Trainer. He has been working in the IT industry since 1988, holding various roles such as senior developer, IT Manager, Data & AI Solutions Architect and Consultant.

Since 1995, Antonios has focused on modern technologies and software development tools, primarily by Microsoft. He has specialized in Data & AI since 2000, with expertise in Microsoft Data Platform (SQL Server, Azure SQL Databases, Azure Synapse Analytics, Microsoft Fabric, Power BI, AI) and Databricks.

Antonios is also a Microsoft Certified Trainer (MCT) for over 25 years, has been recognized as a Microsoft Most Valuable Professional (MVP) in Data Platform since 2010 and he is in the Data Expert 40 Powerlist 2024 by Boussias. He is the co-founder and visionary behind XLYTiCA, a company dedicated to Data & AI solutions.

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