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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

Inserting documents

You may want to add some test data into a database while developing an application. Inserting documents can be done with MySQL Shell. A document is a JSON data structure that's similar to a record in SQL.

JSON stands for JavaScript Object Notation. It is a method to describe a data structure in text format. As most programming languages and databases support this, it is a good format for data exchange.

A collection of documents is similar to a table with records. A table has a structure to describe what each record should look like. But this is not the case for documents. You can define some additional requirements for collections, but this is not the default. A document is also more flexible, as it can have nested data.

Here is an example of nested data in a JSON document:

{
  "type": "book",
  "title": "Harry Potter and the Philosopher's Stone",
  "translations&quot...
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