![]() In a typical One-to-Few document relationship, this would work perfectly as the expected size of documents is not more than 20. Using our “Publishing project” as an example, this would mean, Publishers, store all published books and related information directly on each publisher’s object. Data is simply denormalized by embedding Child (related) documents right into the Parent (main) document. Nonetheless, the rule of thumb is, the size of documents stored, is in direct proportion to the speed at which queries are resolved, and ultimately, how performant the database is.Įmbedded Data Models : This is the least recommended form of relationship. Mongoose represents relational data using two major design models, and the choice of model to deploy when planning the database collections of any project is predominantly hinged on the data-size, data accuracy, and frequency of access. Postman will be used to test our endpoints for responses.ExpressJS to create our routes using async/await ES6+ since we shall be dealing with promises.Mongoose library, as the database object document manager (ODM).The Publishing House project assumes Publishers as registered users, who can publish multiple books under their portfolio. ![]() Simply run at the root of your project folder.Įnter fullscreen mode Exit fullscreen modeįor the purpose of this write-up, I have built a small “Publishing House” project, to walk you through how to achieve any of the methods to be discussed.
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