Databases are essential for efficiently storing, retrieving, and managing data. They ensure data integrity, security, and quick access for various applications. Choosing the right database depends on your specific needs and the type of data your application handles.
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I. 12 Key Design Pattern In MongoDB With Real World Use Case
Introduction
MongoDB provides a variety of design patterns to help you model data efficiently for real-world use cases. Below are 12 key patterns every developer should know, each illustrated with practical examples.
Table of Contents
- 1. Attribute Pattern
- 2. Computed Pattern
- 3. Bucket Pattern
- 4. Schema Versioning Pattern
- 5. Tree Pattern
- 6. Subset Pattern
- 7. Approximation Pattern
- 8. Outlier Pattern
- 9. Polymorphic Pattern
- 10. Extended Reference Pattern
- 11. Pre-aggregation Pattern
- 12. Document Versioning Pattern
1. Attribute Pattern
Scenario:
An online store has multiple product categories, such as smartphones, laptops, and clothing. Each category contains items with a wide range of attributes. For example: