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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

Writing Elegant T-SQL Queries

At this point, you should have a good understanding of how to build a T-SQL query, but how do we build an elegant T-SQL query? We want one that not only gets the job done but does so efficiently. There are a few guidelines that are important to keep in mind when writing T-SQL queries to ensure that they perform and scale well. For this purpose, this chapter discusses some basics of database physical design structure, such as indexes, as well as how the Query Optimizer estimates cost and chooses what data access methods must be used, based on how the query is written.

In this chapter, the following topics will be covered:

  • Understanding predicate SARGability
  • Basic index guidelines
  • Best practices for T-SQL querying

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