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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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Toc

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

Activity 10.01 – Converting gender and job statistics

Your manager would like to convert the remaining GenderStats and JobStats queries to passthrough queries to allow them to be processed more efficiently. In summary, the following tasks will need to be completed:

  1. Convert the SQL for GenderStats (SQL 2) and name the passthrough query GENCount.
  2. Convert the SQL for JobStats (SQL 3) and name the passthrough query JOBCount.
  3. Convert the SQL for Country (SQL 4) and name the passthrough query CTRYCount.

After implementing these steps, the expected output should look like this:

Figure 10.7 – Changes to the code and the affected onscreen controls

Hint

If a field name has spaces, Access encloses the field name in square brackets, whereas MySQL encloses them in backticks. Backticks are located in the top-left corner of your main keyboard, next to the 1 key.

We did not modify or move two of the original SQL statements. We...

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