Book Image

SQL Server Query Tuning and Optimization

By : Benjamin Nevarez
Book Image

SQL Server Query Tuning and Optimization

By: Benjamin Nevarez

Overview of this book

SQL Server is a relational database management system developed by Microsoft. As a database server, it is a software product with the primary function of storing and retrieving data as requested by other software applications. This book starts by describing the inner workings of the query optimizer, and will enable you to use this knowledge to write better queries and provide the query engine with all the information it needs to produce efficient execution plans. As you progress, you’ll get practical query optimization tips for troubleshooting underperforming queries. The book will also guide you through intelligent query processing and what is new in SQL Server 2022. Query performance topics such as the Query Store, In-Memory OLTP and columnstore indexes are covered as well. By the end of this book, you’ll be able to get the best possible performance for your queries and applications.
Table of Contents (14 chapters)

SET STATISTICS TIME and IO statements

We will close this chapter with two statements that can give you additional information about your queries and that you can use as an additional tuning technique. These can be a great complement to execution plans to get additional information about your queries’ optimization and execution. One common misunderstanding we sometimes see is developers trying to compare plan cost to plan performance. You should not assume a direct correlation between a query-estimated cost and its actual runtime performance. Cost is an internal unit used by the query optimizer and should not be used to compare plan performance; SET STATISTICS TIME and SET STATISTICS IO can be used instead. This section explains both statements.

You can use SET STATISTICS TIME to see the number of milliseconds required to parse, compile, and execute each statement. For example, run the following command:

SET STATISTICS TIME ON

Then, run the following query:

SELECT...