SQL Server Query Tuning and Optimization: Optimize Microsoft SQL Server 2022 queries and applications
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Author
Publication
Packt Publishing
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.
Review
"This book covers a rich set of topics, including most things you need to know when performing query optimizations for SQL Server. It provides a detailed background to each area, and then recommendations on how to proceed. I was really pleased to see this focus, as far too much attention gets paid to hardware and operating system configuration when users are trying to improve the performance of SQL Server applications. The real gold is to be found in improving applications, and in particular, the performance of queries.
It was so pleasing to read a technical book that was well written, used English well, and wasnt full of technical errors."
--Dr Greg Low, Founder and Principal Mentor at SQL Down Under, Microsoft MVP and RD
"As the author of multiple deeply technical books on SQL Server, I know that these books are not easy to write, and that it takes enormous commitment and passion to create a high-quality work like this one. Benjamin Nevarez definitely has that passion, as well as the expertise and the ability to explain difficult concepts. The list of topics is very comprehensive, and most chapters include background information on how the SQL Server engine actually works, in addition to offering tools, tips, and techniques for troubleshooting and optimizing query performance. I was thrilled to see that Ben had written such a comprehensive book about SQL Server 2022, because now I have a go-to resource to learn about this latest version of my favorite database system."
--Kalen Delaney, 25-year Microsoft MVP, Author of Inside SQL Server and SQL Server Internals
About the Author
Benjamin Nevarez is a database professional based in Los Angeles, California who specializes in SQL Server query tuning and optimization. He is the author of several books including "High Performance SQL Server'', "SQL Server 2017 on Linux", "SQL Server 2014 Query Tuning & Optimization" and "Inside the SQL Server Query Optimizer" and has also co-authored other books such as "SQL Server 2012 Internals". Benjamin has also been a speaker at many SQL Server conferences around the world
- Troubleshoot queries using methods including extended events, SQL Trace, and dynamic management views
- Understand how the execution engine and query operators work
- Speed up queries and improve app performance by creating the right indexes
- Detect and fix cardinality estimation errors by examining query optimizer statistics
- Monitor and promote both plan caching and plan reuse to improve app performance
- Troubleshoot and improve query performance by using the Query Store
- Improve the performance of data warehouse queries by using columnstore indexes
- Handle query processor limitations with hints and other methods
This book is for SQL Server developers who are struggling with slow query execution, database administrators who are tasked with troubleshooting slow application performance, and database architects who design SQL Server databases in support of line-of-business and data warehousing applications.
- An Introduction to Query Tuning and Optimization
- Troubleshooting Queries
- The Query Optimizer
- The Execution Engine
- Working with Indexes
- Understanding Statistics
- In-Memory OLTP
- Understanding Plan Caching
- The Query Store
- Intelligent Query Processing
- An Introduction to Data Warehouses
- Understanding Query Hints
