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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

Understanding index operations

In a seek operation, SQL Server navigates throughout the B-tree index to quickly find the required records without the need for an index or table scan. This is similar to using an index at the end of a book to find a topic quickly, instead of reading the entire book. Once the first record has been found, SQL Server can then scan the index leaf level forward or backward to find additional records. Both equality and inequality operators can be used in a predicate, including =, <, >, <=, >=, <>, !=, !<, !>, BETWEEN, and IN. For example, the following predicates can be matched to an Index Seek operation if there is an index on the specified column or a multicolumn index with that column as a leading index key:

  • ProductID = 771
  • UnitPrice < 3.975
  • LastName = ‘Allen’
  • LastName LIKE ‘Brown%’

As an example, look at the following query, which uses an Index Seek operator and produces...

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