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SQL Server Query Tuning and Optimization
SQL Server Query Tuning and Optimization

SQL Server Query Tuning and Optimization: Optimize Microsoft SQL Server 2022 queries and applications

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SQL Server Query Tuning and Optimization

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Key benefits

  • Speed up queries and dramatically improve application performance by both understanding query engine internals and practical query optimization
  • Understand how the query optimizer works
  • Learn about intelligent query processing and what is new in SQL Server 2022

Description

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.

Who is this book for?

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.

What you will learn

  • 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

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Aug 12, 2022
Length: 446 pages
Edition : 1st
Language : English
ISBN-13 : 9781803239781
Vendor :
Microsoft
Category :
Languages :
Concepts :
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Product Details

Publication date : Aug 12, 2022
Length: 446 pages
Edition : 1st
Language : English
ISBN-13 : 9781803239781
Vendor :
Microsoft
Category :
Languages :
Concepts :
Tools :

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Table of Contents

13 Chapters
Chapter 1: An Introduction to Query Tuning and Optimization Chevron down icon Chevron up icon
Chapter 2: Troubleshooting Queries Chevron down icon Chevron up icon
Chapter 3: The Query Optimizer Chevron down icon Chevron up icon
Chapter 4: The Execution Engine Chevron down icon Chevron up icon
Chapter 5: Working with Indexes Chevron down icon Chevron up icon
Chapter 6: Understanding Statistics Chevron down icon Chevron up icon
Chapter 7: In-Memory OLTP Chevron down icon Chevron up icon
Chapter 8: Understanding Plan Caching Chevron down icon Chevron up icon
Chapter 9: The Query Store Chevron down icon Chevron up icon
Chapter 10: Intelligent Query Processing Chevron down icon Chevron up icon
Chapter 11: An Introduction to Data Warehouses Chevron down icon Chevron up icon
Chapter 12: Understanding Query Hints Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

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Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.9
(13 Ratings)
5 star 92.3%
4 star 7.7%
3 star 0%
2 star 0%
1 star 0%
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Marlon A. Ribunal Sep 18, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
tl;dr - I highly recommend this book.If you are like me and still prefer the physical book as your primary reading material, Benjamin Nevarez's book from Packt Publishing is a great book to add to your bookshelf. I have reviewed the last two editions of Benjamin's other book on "High-Performance SQL Server". And just like how I recommended those to friends, I highly recommend SQL Server Query Tuning and Optimization: Optimize SQL Server 2022 Queries and Applications.As the book title indicates, you don't expect to see all the new features introduced in SQL Server 2022 here (e.g, Ledger, Azure Synapse Link for SQL, etc). If you are looking for a great resource for SQL Server query tuning and optimization, this is your book. And if you are not planning to implement SQL Server 2022 in the near future, need not worry because it also covers older versions.It is just proper that the book starts with Introduction to Query Tuning and Optimization in Chapter 1, which covers how the query optimizer works and how it produces efficient execution plans. The first chapter takes you from the fundamental of query tuning to the basics of an execution plan.I like the cadence of this book. It's kinda fast-paced when it comes to the progression of discussion. By Chapter 2, you are lunging at Dynamic Management Views (DMVs) and Dynamic Management Functions (DMFs), SQL Trace, Extended Events, and Data Collector.Chapters 3 to 5 cover the Query Optimizer, Execution Engine, and Working with Indexes.Chapter 6 covers Statistics which includes a section about the "new" Cardinality Estimator introduced in SQL Server 2014 and a little background on estimation models.Chapter 7 covers In-Memory OLTP.Chapters 8 to 10 cover Understanding Plan Caching, Query Store, and Intelligent Query Processing.Chapter 11 covers an Introduction to Datawarehouse and the common performance problems and how to solve them.I understand why the author decided to place the chapter on Query Hints at the end of the book, Chapter 12. Do you need Hints? Probably not. Do you always "not need" Hints? Probably not, either. There are instances where Hints are "necessary" depending on your needs. This chapter covers some of those scenarios.
Amazon Verified review Amazon
Wanjiku Oct 11, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This is an amazing book that helps any developer from beginner to advance. It gives a comprehensive and indepth explanation on Query Tuning and Optimization.This book covers more than just Tuning and Optimization, it show you how to Work with Indexes, Understanding Statistics, Data warehousing e.t.c.The pages should not at all intimidate any reader because every page is loaded with rich information that you as a developer will eventually use at some point. It includes diagrams which show step by step explanations which makes it an easy read.Grab yourself a copy it is worth it.
Amazon Verified review Amazon
John Bulla Oct 21, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book is fantastic for SQL Server developers and SQL Server database administrators to learn and know the inner workings of the query optimizer in SQL Server and gain skills to write better queries to be better optimized by the database engine, all with examples and explained in detail, which will allow us to build much more efficient solutions. Best of all, this book is already updated to the version of SQL Server 2022 that will be released very soon by Microsoft.In this book are covered interesting topics such 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, columnstore indexes, among others.I had the opportunity to meet the Author Benjamin in person and share with him in Seattle at several SQL PASS Summits and I can say that he is a great professional, an expert in SQL Server and above all a great person and his passion for SQL Server and experience It is reflected in this book.
Amazon Verified review Amazon
George Squillace Nov 16, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Here are a few of my summarized thoughts on the book.Thorough - twelve chapters, and almost 450 pp.Modern - includes discussion of the features like the Query Store, and updates to SQL Server 2022 features (Intelligent Query Processing additions).Code samples – lots of them, and nice that the code used in the book was downloadable from GitHub.Surprised - I was surprised about the recommendation to use the DTA (Database Tuning Advisor). I didn’t think many people took that seriously. I was even more surprised at the recommendation to use the “Data Collector”; I didn’t know that feature was taken seriously and I’ve heard of a number of objections about it.At least one new thing learned – I didn’t know XML Plans have a published schema (p. 39). These schemas were under my nose all these years but I wasn’t aware.Lots of pictures, including pictures of index trees.Thorough treatment of statistics. Examples of Trace Flags.Very thorough description of In-Memory OLTP, including the history of updates to the feature set.I liked the added topics on data warehousing and query hints.
Amazon Verified review Amazon
Tjay Belt Nov 18, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I had the great opportunity to review this book. It is so full of code and examples and samples and stories and explanations. It can show you behind the scenes; the why of how things work the database engine. Learning these topics will help me understand performance tuning.“To understand a thing is to gain the power to change it. ”As a DBA, I would use the knowledge provided here in to expand my own, and this assist me in my day to day job.As a Data Architect, I would use this to stretch my own knowledge and ensure I know the deeper knowledge provided.As a consultant, I would use this book and it's contents to better learn how to dig deeper to solve my clients needs
Amazon Verified review Amazon
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