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Learn T-SQL Querying

Learn T-SQL Querying

By : Pedro Lopes, Lahoud
4.2 (9)
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Learn T-SQL Querying

Learn T-SQL Querying

4.2 (9)
By: Pedro Lopes, Lahoud

Overview of this book

Transact-SQL (T-SQL) is Microsoft's proprietary extension to the SQL language used with Microsoft SQL Server and Azure SQL Database. This book will be a usefu to learning the art of writing efficient T-SQL code in modern SQL Server versions as well as the Azure SQL Database. The book will get you started with query processing fundamentals to help you write powerful, performant T-SQL queries. You will then focus on query execution plans and leverage them for troubleshooting. In later chapters, you will explain how to identify various T-SQL patterns and anti-patterns. This will help you analyze execution plans to gain insights into current performance, and determine whether or not a query is scalable. You will also build diagnostic queries using dynamic management views (DMVs) and dynamic management functions (DMFs) to address various challenges in T-SQL execution. Next, you will work with the built-in tools of SQL Server to shorten the time taken to address query performance and scalability issues. In the concluding chapters, this will guide you through implementing various features, such as Extended Events, Query Store, and Query Tuning Assistant, using hands-on examples. By the end of the book, you will have developed the skills to determine query performance bottlenecks, avoid pitfalls, and discover the anti-patterns in use.
Table of Contents (18 chapters)
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1
Section 1: Query Processing Fundamentals
5
Section 2: Dos and Donts of T-SQL
10
Section 3: Assemble Your Query Troubleshooting Toolbox

Using Live Query Statistics

To meet the need to analyze a query execution plan while the query is executing, Live Query Statistics (LQS) was introduced with the SQL Server 2016 release of SSMS, adding rich visuals by animating the in-flight execution plan to allow more immediate and precise identification of hot spots in a plan during query execution.

To see LQS in action, open a new query window in SSMS, in which we can use the following example query from Chapter 3, Mechanics of the Query Optimizer. This is a previously identified long-running query that I'm tasked to troubleshoot and tune:

SELECT e.[BusinessEntityID], p.[Title], p.[FirstName],p.[MiddleName],
p.[LastName], p.[Suffix], e.[JobTitle],
pp.[PhoneNumber], pnt.[Name] AS [PhoneNumberType],
ea.[EmailAddress], p.[EmailPromotion], a.[AddressLine1],
a.[AddressLine2], a.[City], sp.[Name] AS ...
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