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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

Table of Contents (21) Chapters

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

The impact of indexes on query design

As we know, indexes improve the read performance of queries, so we should always keep in mind the columns that participate in the JOIN, WHERE, GROUP BY, HAVING, and ORDER BY clauses must have an index. This is because columns participating in the JOIN and WHERE clauses are the deciding factor and are read/accessed first from the raw data. Then all other filters are applied, such as GROUP BY, HAVING, and ORDER BY, based on the result set and the functions used in the queries.

If you write a query that has an index on the column being used in the WHERE clause for filtering the data, its performance will be drastically better after we run the same query after creating the index on that column. This applies to the columns participating in the JOIN, GROUP BY, HAVING, and ORDER BY clauses.

To further improve performance, you should include the columns participating in the SELECT statement, and if you are going to create a report for a particular...

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