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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

Joins

We can explicitly ask the query optimizer to use any of the available join physical algorithms: Nested Loop Join, Merge Join, and Hash Join. We could do this at the query level, in which case all the existing joins in the query will be affected, or we can request it at the join level, ensuring that only that specific join is impacted (although, as you will see later, this last choice will also impact the join order on the plan).

Let’s focus on join hints at the query level first, in which case, the join algorithm is specified using the OPTION clause. You can also specify two of the three available joins, which asks the query optimizer to exclude the third physical join operator from consideration. The decision between which of the remaining two joins to use will be cost-based. For example, take a look at the following unhinted query:

SELECT *
FROM Production.Product AS p
JOIN Sales.SalesOrderDetail AS sod
ON p.ProductID = sod.ProductID

This will produce...

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