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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

Summary

This chapter covered data warehouses and explained how operational and analytic systems serve very different purposes—one helping with the execution of a business process and the other helping with the measurement of such a business process. The fact that a data warehouse system is also used differently from an OLTP system created opportunities for a new database engine design, which was implemented using the columnstore indexes feature when SQL Server 2012 was originally released.

Because a typical star join query only uses between 10 percent and 15 percent of the columns in a fact table, a columnar-based approach was implemented, which seemed to be more appropriate than the traditional rowstore. Because processing one row at a time also did not seem to be efficient for the large number of rows processed by star join queries, a new batch-processing mode was implemented, too. Finally, following new hardware trends, columnstore indexes, same as with in-memory OLTP...

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