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Learn T-SQL Querying

You're reading from   Learn T-SQL Querying A guide to developing efficient and elegant T-SQL code

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Product type Paperback
Published in Feb 2024
Publisher Packt
ISBN-13 9781837638994
Length 456 pages
Edition 2nd Edition
Languages
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Authors (2):
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Pedro Lopes Pedro Lopes
Author Profile Icon Pedro Lopes
Pedro Lopes
Pam Lahoud Pam Lahoud
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Pam Lahoud
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Table of Contents (18) Chapters Close

Preface 1. Part 1: Query Processing Fundamentals
2. Chapter 1: Understanding Query Processing FREE CHAPTER 3. Chapter 2: Mechanics of the Query Optimizer 4. Part 2: Dos and Don’ts of T-SQL
5. Chapter 3: Exploring Query Execution Plans 6. Chapter 4: Indexing for T-SQL Performance 7. Chapter 5: Writing Elegant T-SQL Queries 8. Chapter 6: Discovering T-SQL Anti- Patterns in Depth 9. Part 3: Assembling Our Query Troubleshooting Toolbox
10. Chapter 7: Building Diagnostic Queries Using DMVs and DMFs 11. Chapter 8: Building XEvent Profiler Traces 12. Chapter 9: Comparative Analysis of Query Plans 13. Chapter 10: Tracking Performance History with Query Store 14. Chapter 11: Troubleshooting Live Queries 15. Chapter 12: Managing Optimizer Changes 16. Index 17. Other Books You May Enjoy

Index maintenance

While index maintenance is more of a database administration topic than a developer topic, it’s worth discussing the importance of index maintenance. As we discussed in the section on index structure, over time, INSERT, UPDATE, and DELETE operations can cause an index to become fragmented. Once the data is in memory, fragmentation doesn’t cause a noticeable performance issue, so the main concern is I/O. The SQL Database Engine has a few I/O optimizations, such as the readahead mechanism that’s used when scanning an index, that rely on the data being stored contiguously. When the data is fragmented, I/O may not be as efficient.

Another side effect of fragmentation is lower page density. A page is the smallest unit of I/O in the SQL Database Engine, so an index that contains a lot of partially empty pages will generate a lot more I/O than necessary. If the pages are full, it will take fewer of them to store the same amount of data. This is a...

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