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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
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Learn T-SQL Querying

Learn T-SQL Querying

5 (2)
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

Mechanics of the Query Optimizer

The next step in our journey to writing efficient T-SQL queries is understanding how the SQL Database Engine optimizes a query by exploring T-SQL query optimization internals and architecture, starting with the infamous cardinality estimation process and its building blocks. From there, understand how the Query Optimizer uses that information to produce a just-in-time good-enough execution plan. This chapter will be referenced throughout all chapters, as we bridge architectural topics to real-world uses.

In this chapter, we’re going to cover the following main topics:

  • Introducing the Cardinality Estimator (CE)
  • Understanding the query optimization workflow
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Learn T-SQL Querying
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