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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

Fuzzy string matching

When searching for strings in SQL Server using =, the strings must match exactly for the expression to evaluate to true. If we want to match only part of the string however, we must use a LIKE operator with wildcards. If we want to search for a pattern anywhere within a string, we need both leading and trailing wildcards. The problem with this is that it prevents us from being able to use an index or accurately estimate the cardinality . An index with a string key is sorted, starting with the first character of the string, but if we are searching for a pattern that may appear in the middle of the string, SQL Server must scan every value and search for the matching pattern in each string in the column. A LIKE operator with a leading wildcard ("%a value" or "%a value%") almost always causes a scan operation.

Consider an example from the...

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