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Learn MongoDB 4.x

You're reading from   Learn MongoDB 4.x A guide to understanding MongoDB development and administration for NoSQL developers

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Product type Paperback
Published in Sep 2020
Publisher Packt
ISBN-13 9781789619386
Length 610 pages
Edition 1st Edition
Tools
Concepts
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Author (1):
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Doug Bierer Doug Bierer
Author Profile Icon Doug Bierer
Doug Bierer
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Table of Contents (22) Chapters Close

Preface 1. Section 1: Essentials
2. Introducing MongoDB 4.x FREE CHAPTER 3. Setting Up MongoDB 4.x 4. Essential MongoDB Administration Techniques 5. Section 2: Building a Database-Driven Web Application
6. Fundamentals of Database Design 7. Mission-Critical MongoDB Database Tasks 8. Using AJAX and REST to Build a Database-Driven Website 9. Section 3: Digging Deeper
10. Advanced MongoDB Database Design 11. Using Documents with Embedded Lists and Objects 12. Handling Complex Queries in MongoDB 13. Section 4: Replication, Sharding, and Security in a Financial Environment
14. Working with Complex Documents Across Collections 15. Administering MongoDB Security 16. Developing in a Secured Environment 17. Deploying a Replica Set 18. Replica Set Runtime Management and Development 19. Deploying a Sharded Cluster 20. Sharded Cluster Management and Development 21. Other Books You May Enjoy

Defining the common document structure

When creating an application based upon a traditional RDBMS, you would normally define a plethora of tiny tables that are consulted when presenting the website user with HTML select options, radio buttons, or checkboxes. The only other alternative would be to hardcode such defaults and options into configuration files.

When using MongoDB, you can take advantage of two radical differences from a legacy RDBMS:

  • Each document in a collection does not have to have the same schema.
  • Documents can contain arrays.

The following table summarizes the options needs for Sweets Complete:

Item Key Value
gender M Male
F Female
X Other
social media FB Facebook
TW Twitter

As you can see, for these two items, a dictionary is defined with key–value pairs. For other items, summarized in the following table, there are lists for which there is no key:

Item Values
categories Cake, chocolate, pie, cookie, donut
unit Box, tin, piece, item...
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