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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

Solution to Activity 5.2

First, try to use a way of getting this data by querying the film table and using GROUP BY on the release year; however, this will only return information for years in which films have been released. In our database, all films are released in a single year. So, you want to generate a range of years and then join this with the data you have to make sure that all the years are included, even if there were no films released in that year according to our database. Follow these steps to complete this activity:

  1. Open the MySQL client and connect to the sakila database:
    USE sakila

This produces the following output:

Figure 16.36 – The USE output

  1. Inspect the result of the naive approach by writing the following query:
    SELECT release_year, COUNT(*) FROM film
    WHERE release_year BETWEEN 2005 AND 2010
    GROUP BY release_year;

This produces the following output:

Figure 16.37 – The SELECT...

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