Book Image

Learn T-SQL Querying - Second Edition

By : Pedro Lopes, Pam Lahoud
Book Image

Learn T-SQL Querying - Second Edition

By: Pedro Lopes, Pam Lahoud

Overview of this book

Data professionals seeking to excel in Transact-SQL (T-SQL) for Microsoft SQL Server and Azure SQL Database often lack comprehensive resources. This updated second edition of Learn T-SQL Querying focuses on indexing queries and crafting elegant T-SQL code, catering to all data professionals seeking mastery in modern SQL Server versions and Azure SQL Database. Starting with query processing fundamentals, this book lays a solid foundation for writing performant T-SQL queries. You’ll explore the mechanics of the Query Optimizer and Query Execution Plans, learning how to analyze execution plans for insights into current performance and scalability. Through dynamic management views (DMVs) and dynamic management functions (DMFs), you’ll build diagnostic queries. This book thoroughly covers indexing for T-SQL performance and provides insights into SQL Server’s built-in tools for expedited resolution of query performance and scalability issues. Further, hands-on examples will guide you through implementing features such as avoiding UDF pitfalls, understanding predicate SARGability, Query Store, and Query Tuning Assistant. By the end of this book, you‘ll have developed the ability to identify query performance bottlenecks, recognize anti-patterns, and skillfully avoid such pitfalls.
Table of Contents (18 chapters)
1
Part 1: Query Processing Fundamentals
4
Part 2: Dos and Don’ts of T-SQL
9
Part 3: Assembling Our Query Troubleshooting Toolbox

Navigating a query plan

Up until this point, we have mentioned query execution plans, and even shown simple examples to illustrate some points during the Mechanics of the Query Optimizer chapter. However, it is important for any database professional to understand how to read and analyze a query execution plan as a way to visually identify positive changes in a plan shape. The remaining chapters in the book will show query execution plans in more detail for different scenarios of T-SQL patterns and anti-patterns.

Query plans are like trees, where each join branch can represent an entirely separate query. To understand how to navigate a showplan or query plan, let’s use a practical example of a query executed in the AdventureWorks sample database:

SELECT p.Title + ' ' + p.FirstName + ' ' + p.LastName AS FullName, c.AccountNumber, s.Name AS StoreName
FROM Person.Person p
INNER JOIN Sales.Customer c ON c.PersonID = p.BusinessEntityID
INNER JOIN Sales.Store...