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SQL Query Design Patterns and Best Practices

You're reading from  SQL Query Design Patterns and Best Practices

Product type Book
Published in Mar 2023
Publisher Packt
ISBN-13 9781837633289
Pages 270 pages
Edition 1st Edition
Languages
Authors (6):
Steve Hughes Steve Hughes
Profile icon Steve Hughes
Dennis Neer Dennis Neer
Profile icon Dennis Neer
Dr. Ram Babu Singh Dr. Ram Babu Singh
Profile icon Dr. Ram Babu Singh
Shabbir H. Mala Shabbir H. Mala
Profile icon Shabbir H. Mala
Leslie Andrews Leslie Andrews
Profile icon Leslie Andrews
Chi Zhang Chi Zhang
Profile icon Chi Zhang
View More author details
Toc

Table of Contents (21) Chapters close

Preface 1. Part 1: Refining Your Queries to Get the Results You Need
2. Chapter 1: Reducing Rows and Columns in Your Result Sets 3. Chapter 2: Efficiently Aggregating Data 4. Chapter 3: Formatting Your Results for Easier Consumption 5. Chapter 4: Manipulating Data Results Using Conditional SQL 6. Part 2: Solving Complex Business and Data Problems in Your Queries
7. Chapter 5: Using Common Table Expressions 8. Chapter 6: Analyze Your Data Using Window Functions 9. Chapter 7: Reshaping Data with Advanced Techniques 10. Chapter 8: Impact of SQL Server Security on Query Results 11. Part 3: Optimizing Your Queries to Improve Performance
12. Chapter 9: Understanding Query Plans 13. Chapter 10: Understanding the Impact of Indexes on Query Design 14. Part 4: Working with Your Data on the Modern Data Platform
15. Chapter 11: Handling JSON Data in SQL Server 16. Chapter 12: Integrating File Data and Data Lake Content with SQL 17. Chapter 13: Organizing and Sharing Your Queries with Jupyter Notebooks 18. Index 19. Other Books You May Enjoy Appendix: Preparing Your Environment

Understanding index maintenance

Over time, indexes get fragmented due to write (UPDATE, DELETE, and INSERT) operations on the table on which indexes exist, which causes read operations to slow down as the SQL server now must scan a greater number of pages in the index due to the fragmentation. Therefore, we must keep track of the indexes used and the fragmentation in the indexes and should address the fragmentation to keep indexes healthy.

Now, this brings us to the topic of identifying fragmentation in indexes and to address fragmentation in indexes to keep them healthy. So, let’s discuss index health and defragmenting the index next.

Index health

To identify fragmented indexes, we must check all the indexes where the average fragmentation is more than zero. To get the list of fragmented indexes, use the following standard query, which uses the catalog views to read the system data:

SELECT OBJECT_NAME(IND.OBJECT_ID) AS [Table Name],
IND.NAME AS [Index Name], PS...
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