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Learn T-SQL Querying

You're reading from   Learn T-SQL Querying A guide to developing efficient and elegant T-SQL code

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Product type Paperback
Published in May 2019
Publisher Packt
ISBN-13 9781789348811
Length 484 pages
Edition 1st Edition
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Authors (2):
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Pedro Lopes Pedro Lopes
Author Profile Icon Pedro Lopes
Pedro Lopes
Pam Lahoud Pam Lahoud
Author Profile Icon Pam Lahoud
Pam Lahoud
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Table of Contents (18) Chapters Close

Preface 1. Section 1: Query Processing Fundamentals
2. Anatomy of a Query FREE CHAPTER 3. Understanding Query Processing 4. Mechanics of the Query Optimizer 5. Section 2: Dos and Donts of T-SQL
6. Exploring Query Execution Plans 7. Writing Elegant T-SQL Queries 8. Easily-Identified T-SQL Anti-Patterns 9. Discovering T-SQL Anti-Patterns in Depth 10. Section 3: Assemble Your Query Troubleshooting Toolbox
11. Building Diagnostic Queries Using DMVs and DMFs 12. Building XEvent Profiler Traces 13. Comparative Analysis of Query Plans 14. Tracking Performance History with Query Store 15. Troubleshooting Live Queries 16. Managing Optimizer Changes with the Query Tuning Assistant 17. Other Books You May Enjoy

Mechanics of the Query Optimizer

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

Before we get started, it's important to have a common frame of reference about the following terms:

  • Cardinality: Cardinality in a database is defined as the number of records, also called tuples, in each table or view.
  • Frequency: This term represents the average number of occurrences of a given value in a...
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