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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, Pam Lahoud
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Learn T-SQL Querying

Learn T-SQL Querying

5 (3)
By: Pedro Lopes, Pam 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

Data access using indexes

Now that we have discussed how the Query Optimizer uses indexes to facilitate predicate pushdown and make queries more efficient, let’s explore how indexes are structured and why they are so important for query performance.

Before we begin discussing the structure of indexes, it’s worth understanding how data is stored and accessed in the SQL Database Engine. Data is stored on 8 KB pages. An object such as a table or an index is essentially a collection of pages, along with metadata that maps out the structure of the object. The SQL Database Engine uses a special metadata page called an Index Allocation Map (IAM) page to locate the pages in an object. IAM pages contain a list of all the pages in a database file that belong to an object. Each object will have at least one IAM page but depending on the size of the object and the file structure of the database, there may be more than one IAM page, forming a chain.

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