Book Image

Learn T-SQL Querying

By : Pedro Lopes, Pam Lahoud
Book Image

Learn T-SQL Querying

By: Pedro Lopes, Pam 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)
Free Chapter
1
Section 1: Query Processing Fundamentals
5
Section 2: Dos and Donts of T-SQL
10
Section 3: Assemble Your Query Troubleshooting Toolbox

Complex expressions

Search predicates should not use complex expressions. Much like the deterministic function calls we discussed in the Functions in our predicate section, complex expressions can also cause unnecessary scans.

As was discussed in previous chapters, the Query Optimizer uses statistics, internal transformation rules, and heuristics at compile-time to determine a good-enough plan to execute a query. This includes the ability to fold expressions, which is the process of simplifying constant expressions at compile-time. For example, a predicate such as WHERE Column = 320 * 200 * 32 is computed at compile time to its arithmetic result and internally the predicate is evaluated as WHERE Column = 2048000. Unlike constants, calculations that involve column values, parameters, non-deterministic functions, or variables are only evaluated at runtime—this is another...