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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

Cardinality estimation feedback

As mentioned in Chapter 6, Understanding Statistics, the cardinality estimator estimates the number of rows to be processed by each operator in a query execution plan. Similar to the concept of memory grant feedback, and also based on the query store, cardinality estimation feedback is another intelligent query processing feature introduced with SQL Server 2022, which can learn and adjust based on the history of previous query executions. As we learned in Chapter 6, Understanding Statistics, the cardinality estimator uses different model assumptions to perform cardinality estimations. In addition, starting with SQL Server 2014, SQL Server has two different cardinality estimators to choose from.

The cardinality estimator feedback feature works by analyzing repeating queries. If an existing model assumption appears incorrect or produces a suboptimal query plan, the cardinality estimator will identify and use a model assumption that better fits a given...

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