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The MySQL Workshop

You're reading from   The MySQL Workshop A practical guide to working with data and managing databases with MySQL

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Product type Paperback
Published in Apr 2022
Publisher Packt
ISBN-13 9781839214905
Length 726 pages
Edition 1st Edition
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Authors (2):
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Scott Cosentino Scott Cosentino
Author Profile Icon Scott Cosentino
Scott Cosentino
Thomas Pettit Thomas Pettit
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Thomas Pettit
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Table of Contents (22) Chapters Close

Preface 1. Section 1: Creating Your Database
2. Chapter 1: Background Concepts FREE CHAPTER 3. Chapter 2: Creating a Database 4. Chapter 3: Using SQL to Work with a Database 5. Chapter 4: Selecting, Aggregating, and Applying Functions 6. Section 2: Managing Your Database
7. Chapter 5: Correlating Data across Tables 8. Chapter 6: Stored Procedures and Other Objects 9. Chapter 7: Creating Database Clients in Node.js 10. Chapter 8: Working with Data Using Node.js 11. Section 3: Querying Your Database
12. Chapter 9: Microsoft Access – Part 1 13. Chapter 10: Microsoft Access – Part 2 14. Chapter 11: MS Excel VBA and MySQL – Part 1 15. Chapter 12: Working With Microsoft Excel VBA – Part 2 16. Section 4: Protecting Your Database
17. Chapter 13: Getting Data into MySQL 18. Chapter 14: Manipulating User Permissions 19. Chapter 15: Logical Backups 20. Other Books You May Enjoy Appendix

Aggregating data

This is one of the most powerful aspects of the SQL language. To do this, we use the GROUP BY clause in a SELECT statement. This groups one or more rows together and reports values based on this group. MySQL has many functions that operate on a group of rows, one of which is MAX(), which gets the maximum value from the group. It is important to only ever use the columns on which you are grouping by and/or other columns with an aggregate function.

Consider this data in the following table:

Figure 4.23 – The sales table

Consider the following query:

SELECT region, SUM(sales) FROM sales GROUP BY region;

This outputs the following results:

Figure 4.24 – The SELECT output, demonstrating GROUP BY

This groups the rows by region, creating two groups, and then it sums the rows in each group.

Now, consider this query:

SELECT city, SUM(sales) FROM sales GROUP BY region;

This outputs the following...

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