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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

Aggregations

Aggregations are operations used in databases to summarize information about some set of data. The result of aggregate operations can be a single value, such as the average salary for a company, or it can be a per-group value, such as the average salary by department. SQL Server has two operators to implement aggregations, Stream Aggregate and Hash Aggregate, and they can be used to solve queries with aggregation functions (such as SUM, AVG, and MAX), or when using the GROUP BY clause and the DISTINCT keyword.

Sorting and hashing

Before introducing the remaining operators of this chapter, let’s discuss sorting and hashing, both of which play a very important role in some of the operators and algorithms of the execution engine. For example, two of the operators covered in this chapter, Stream Aggregate and Merge Join, require data to be already sorted. To provide sorted data, the query optimizer might employ an existing index, or it might explicitly introduce...

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