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)

Filtered statistics

Filtered statistics are statistics created on a subset of records in a table. Filtered statistics are automatically created when filtered indexes are created, but they can also be created manually by specifying a WHERE clause on the CREATE STATISTICS statement, in which case a filtered index is not required. As you may imagine, filtered statistics can help with queries accessing specific subsets of data. They can also be useful in situations such as correlated columns, especially when one of these columns has a small number of unique values, and you can create multiple filtered statistics for each of these distinct values. As shown in the Histogram section, when using multiple predicates, SQL Server assumes that each clause in a query is independent. If the columns used in this query were correlated, then the cardinality estimation would be incorrect. Even with the exponential backoff behavior of the new cardinality estimator, you can still get better cardinality...