Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
SQL Query Design Patterns and Best Practices

You're reading from   SQL Query Design Patterns and Best Practices A practical guide to writing readable and maintainable SQL queries using its design patterns

Arrow left icon
Product type Paperback
Published in Mar 2023
Publisher Packt
ISBN-13 9781837633289
Length 270 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Authors (6):
Arrow left icon
Chi Zhang Chi Zhang
Author Profile Icon Chi Zhang
Chi Zhang
Steven Hughes Steven Hughes
Author Profile Icon Steven Hughes
Steven Hughes
Shabbir Mala Shabbir Mala
Author Profile Icon Shabbir Mala
Shabbir Mala
Dennis Neer Dennis Neer
Author Profile Icon Dennis Neer
Dennis Neer
Leslie Andrews Leslie Andrews
Author Profile Icon Leslie Andrews
Leslie Andrews
Ram Babu Singh Ram Babu Singh
Author Profile Icon Ram Babu Singh
Ram Babu Singh
+2 more Show less
Arrow right icon
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 FREE CHAPTER 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...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime