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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

Introduction to database objects

In the previous chapter, you learned how to back up and restore a database, create a database and tables with SQL commands, and set their properties. You also learned how to add, read, write, modify, and delete records using SQL commands before learning about foreign keys and indexes, and why they are essential. Finally, you learned about multi-table queries and various table joins. You will be using your knowledge of these subjects in this chapter to work with stored procedures, views, and functions.

Views are database objects that allow you to save a particular query as a table. This allows you to save results so that they can be used later. Views allow people with little SQL experience to access complex datasets that have been constructed from SQL queries. Functions can be used to create custom programming logic for your database. This is helpful in situations where you have code repeated in multiple areas and you want to avoid copying code multiple...

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