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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 window functions

A window function operates over a set of rows called a window and returns a column that is included with the other selected columns. The window becomes a partition on the table and allows the rows to retain their details while providing an aggregate. That is what makes the window function different from aggregates, even though, in some cases, it is evaluating an aggregate.

Here is a partial list of the window functions:

  • Ranking:
    • ROW_NUMBER
    • RANK
    • DENSE_RANK
    • NTILE
    • PERCENT_RANK
    • CUME_DISTLEAD
    • FIRST_VALUE
    • LAST_VALUE
    • COUNT
    • PERCENTILE_CONT
    • PERCENTILE_DIST
  • Value:
    • LAG
  • Aggregate:
    • AVG
    • SUM
    • MAX/MIN

Next, we will look at the structure of the window functions and the required clauses to create them.

Using a window function in a query

To use a window function in a query, you just include it as a column in the query definition. Every window function requires an OVER clause and optionally can include a PARTITION BY clause and an ORDER BY clause, which is...

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