Data modeling in MongoDB with the usage of design patterns

Bravelab
Bravelab Developers

Read time: 8 min

Jul 22, 2020

Attribute Pattern

When you have many documents mostly with the same properties, but they also have their specific attributes, this pattern can be useful for you. All you need to do is create one array property for all these characteristics and put them into as key-value objects. This solution will enable you to sort and search documents in an easier way and it will improve the performance. You can use it, eg., in an e-commerce project where you have a lot of similar products.

Data modeling in MongoDB with the usage of design patterns

Three Pattern

This kind of pattern, as the name suggests, makes a tree of dependencies between documents of a collection. There are several approaches to make a tree, but the easiest is to add properties with references to a parent and children of a document. This design pattern will be useful everywhere where there is a hierarchical data structure, eg., dependencies between employees in an organization.

Data modeling in MongoDB with the usage of design patterns

Extended Reference Pattern

Last but not least, the design pattern can improve the performance of your application if you often make JOIN operations on your documents. To reduce them, you need to embed the most necessary properties of a document of the second collection into a document of the first one. In this way, you won't have to make JOIN operations so often, and if you need more properties of the document of the second collection, you always have access to take them. It can be useful also, eg., for e-commerce projects.

Data modeling in MongoDB with the usage of design patterns

Summary

To sum up, these three patterns, I described shortly, can improve the organization of your data structure and optimize the performance of your application. I encourage you to read the MongoDB documentation to get to know more. If you want to explore more design patterns, I recommend you to join the data modeling course on MongoDB university.

Bravelab
Bravelab Developer who is detail-oriented, enthusiastic about data analysis and highly focused on implementing modern solutions to help out business to grow.

Read time: 8 min

Jul 22, 2020

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