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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

In-memory OLTP architecture

One of the main strategic decisions made during the Hekaton project was to build a new database engine fully integrated into SQL Server instead of creating a new, separate product as other vendors did. This gave users several advantages, such as enabling existing applications to run without code changes, and not needing to buy and learn about a separate product. As mentioned earlier, Hekaton can provide a several orders of magnitude performance increase based on the following:

  • Optimized tables and indexes for main memory data access: Hekaton tables and indexes are designed and optimized for memory. They are not stored as database pages, and they do not use a memory buffer pool either.
  • T-SQL modules compiled to native code: Stored procedures can be optimized by the SQL Server query optimizer, like any regular stored procedure, and then compiled into highly efficient machine code. When this happens, trigger and scalar user-defined functions can...
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