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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

Degree of parallelism feedback

Based on the same concept as the memory feedback and cardinality estimation feedback features, and also relying on the query store, the degree of parallelism feedback works by identifying parallelism performance problems for repeating queries. The degree of parallelism feedback bases its decisions on the CPU time, the elapsed time, and the parallelism parallel-related waits.

Based on the feedback of recent query executions, the degree of parallelism feedback can automatically change the degree of parallelism and, again, monitor the performance of the query to see whether the change helps. The minimum value for a new query degree of parallelism that the feedback can recommend is 2, meaning the query cannot go to a serial plan. The maximum degree of parallelism is the max degree of parallelism server setting. As suggested, the feedback is persisted as it uses the query store.

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