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SQL Server Query Tuning and Optimization

You're reading from   SQL Server Query Tuning and Optimization Optimize Microsoft SQL Server 2022 queries and applications

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Product type Paperback
Published in Aug 2022
Publisher Packt
ISBN-13 9781803242620
Length 446 pages
Edition 1st Edition
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Author (1):
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Benjamin Nevarez Benjamin Nevarez
Author Profile Icon Benjamin Nevarez
Benjamin Nevarez
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Table of Contents (14) Chapters Close

Preface 1. Chapter 1: An Introduction to Query Tuning and Optimization 2. Chapter 2: Troubleshooting Queries FREE CHAPTER 3. Chapter 3: The Query Optimizer 4. Chapter 4: The Execution Engine 5. Chapter 5: Working with Indexes 6. Chapter 6: Understanding Statistics 7. Chapter 7: In-Memory OLTP 8. Chapter 8: Understanding Plan Caching 9. Chapter 9: The Query Store 10. Chapter 10: Intelligent Query Processing 11. Chapter 11: An Introduction to Data Warehouses 12. Chapter 12: Understanding Query Hints 13. Other Books You May Enjoy

Chapter 6: Understanding Statistics

The SQL Server Query Optimizer is cost-based, so the quality of the execution plans it generates is directly related to the accuracy of its cost estimations. In the same way, the estimated cost of a plan is based on the algorithms or operators used, as well as their cardinality estimations. For this reason, to correctly estimate the cost of an execution plan, the Query Optimizer needs to estimate, as precisely as possible, the number of records returned by a given query.

During query optimization, SQL Server explores many candidate plans, estimates their relative costs, and selects the most efficient one. As such, incorrect cardinality and cost estimation may cause the Query Optimizer to choose inefficient plans, which can harm the performance of your database.

In this chapter, we will discuss the statistics that are used by the Query Optimizer, how to make sure you are providing it with the best possible quality of statistics, and what to...

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