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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

Exploring Query Execution Plans

In the previous chapters, we learned how to construct a T-SQL query, how SQL Server processes a query, and how the query is optimized, which results in an execution plan that can be cached and reused by subsequent query executions. Now that we understand the steps SQL Server follows to produce a plan and execute a query, we can investigate an execution plan to examine the results of this process and begin analyzing how we can improve the performance of our queries.

Query execution plans are often referred to as a showplan, which is a textual, XML, or graphical representation of the plan.

Think of a query execution plan as a map that provides information on the physical operators that implement the logical operations discussed in Chapter 1, Anatomy of a Query, as well as the execution context for that query, which provides information about the system...

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