Mongoose provides a straight-forward, schema-based solution to model your application data. It includes built-in type casting, validation, query building, business logic hooks and more, out of …

Now say we like fuzzy kittens and want to record every kitten we ever meet in MongoDB. The first thing we need to do is include mongoose in our project and open a connection to the test …

To get the most out of MongoDB, you need to learn the basics of MongoDB schema design. SQL schema design (third normal form) was designed to minimize storage costs, whereas …

There are no joins in MongoDB but sometimes we still want references to documents in other collections. This is where population comes in. Read more about how to include documents …

In the context of Mongoose, a multi-tenant architecture typically means a case where multiple different clients talk to MongoDB through a single Mongoose application.

Finding documents is easy with Mongoose, which supports the rich query syntax of MongoDB. Documents can be retrieved using a model 's find, findById, findOne, or where static functions.

In Mongoose, a "document" generally means an instance of a model. You should not have to create an instance of the Document class without going through a model.

A Mongoose collection is a thin wrapper around a [MongoDB Node.js driver collection] (MongoDB Node.js driver collection). Using Model.collection means you bypass Mongoose middleware, …

Mongoose guides provide detailed tutorials on Mongoose's core concepts and integrating Mongoose with external tools and frameworks. Mongoose Core Concepts Schemas …

Mongoose's index.d.ts file supports a wide variety of syntaxes and strives to be compatible with @types/mongoose where possible. This guide describes Mongoose's recommended approach …