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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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Toc

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

Summary

This chapter covered in-memory OLTP, originally known as Hekaton, which without a doubt was the most important new feature of SQL Server 2014. The Hekaton OLTP database engine is a response to a new design and architectural approach looking to achieve the most benefit of the new hardware available today. Although optimization for main memory access is its main feature and is even part of its name, Hekaton’s performance improvement is also complemented by other major architecture areas, such as compiling procedures to native code, as well as latches and lock elimination.

This chapter covered the Hekaton architecture and its main components – memory-optimized tables, hash, and range indexes, and natively compiled stored procedures were explained in great detail. Although Hekaton had several limitations in its first release in SQL Server 2014, multiple limitations have been lifted after four new releases, including SQL Server 2022.

xVelocity memory-optimized...

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