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SQL Server Query Tuning and Optimization

You're reading from  SQL Server Query Tuning and Optimization

Product type Book
Published in Aug 2022
Publisher Packt
ISBN-13 9781803242620
Pages 446 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Benjamin Nevarez Benjamin Nevarez
Profile icon Benjamin Nevarez

Table of Contents (14) Chapters

Preface 1. Chapter 1: An Introduction to Query Tuning and Optimization 2. Chapter 2: Troubleshooting Queries 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

Tables and indexes

As explained earlier, Hekaton tables can be accessed either by natively compiled stored procedures or by standard T-SQL, such as ad hoc queries or standard stored procedures. Tables are stored in memory, and each row can potentially have multiple versions. Versions are kept in memory instead of tempdb, which is what the versioning mechanism of the standard database engine uses. Versions that are no longer needed – that is, that are no longer visible to any transaction – are deleted to avoid filling up the available memory. This process is known as garbage collection.

Chapter 5, Working with Indexes, introduced indexes for traditional tables. Memory-optimized tables also benefit from indexes, and in this section, we will talk about these indexes and how they are different from their disk-based counterparts. As explained earlier, Hekaton indexes are never persisted to disk; they only exist in memory, and because of that, their operations are not logged...

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