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  • Book Overview & Buying Learn T-SQL Querying
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Learn T-SQL Querying

Learn T-SQL Querying - Second Edition

By : Pedro Lopes, Lahoud
5 (3)
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Learn T-SQL Querying

Learn T-SQL Querying

5 (3)
By: Pedro Lopes, Lahoud

Overview of this book

Data professionals seeking to excel in Transact-SQL for Microsoft SQL Server and Azure SQL Database often lack comprehensive resources. Learn T-SQL Querying second edition focuses on indexing queries and crafting elegant T-SQL code enabling data professionals gain mastery in modern SQL Server versions (2022) and Azure SQL Database. The book covers new topics like logical statement processing flow, data access using indexes, and best practices for tuning T-SQL queries. Starting with query processing fundamentals, the book lays a foundation for writing performant T-SQL queries. You’ll explore the mechanics of the Query Optimizer and Query Execution Plans, learning to analyze execution plans for insights into current performance and scalability. Using dynamic management views (DMVs) and dynamic management functions (DMFs), you’ll build diagnostic queries. The book covers indexing and delves into SQL Server’s built-in tools to expedite resolution of T-SQL query performance and scalability issues. Hands-on examples will guide you to avoid UDF pitfalls and understand features like 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 avoid pitfalls
Table of Contents (18 chapters)
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1
Part 1: Query Processing Fundamentals
4
Part 2: Dos and Don’ts of T-SQL
9
Part 3: Assembling Our Query Troubleshooting Toolbox

Summary

As this chapter has shown, the way a T-SQL query is written and submitted to the server influences how it is interpreted and executed by the SQL Database Engine. Even before a single T-SQL query is written, the choice of development style (for example, using stored procedures versus ad hoc statements) can have a direct impact on the performance of the application. As we continue our exploration of the internals of SQL Database Engine query processing and optimization, we will find more and more opportunities to write T-SQL queries in a way that encourages optimal query performance, starting with the next chapter.

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