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)

Summary

In this chapter, we covered the most important intelligent query processing features of all three releases up to SQL Server 2022. Of course, new to SQL Server 2022 is that some of the features, such as memory grant feedback, cardinality estimation feedback, and the degree of parallelism feedback, now require the query store to persist the information of queries and plans. Memory grant feedback had the limitation that the feedback was lost when plans were evicted or SQL Server was restarted.

The first release of intelligent query processing, in SQL Server 2017, introduced three of those features under the name of adaptive query processing, and usually, you can make these features available by enabling the applicable database compatibility level of the database. Similarly, any intelligent query processing feature can be disabled if you find a performance regression, either at the database level, by changing the database compatibility level, or at the query level by using...