An insanely basic implementation of some form of Object Document Mapping (not ORM) for MongoDB. This was not really made to be used as a widely available package, it does not contain severely insane levels of logging.

Getting Started

To get started you must install the package via your dependency manager (you can use yarn as well)

npm install @cameronct/mongo-odm

Initiating the Connection

import MongoODM from "@cameronct/mongo-odm";

// Basic
new MongoODM.Connection();

// With Connection URI
new MongoODM.Connection("mongodb://localhost:27017/my-app");

// With Custom Models Folder
new MongoODM.Connection("mongodb://localhost:27017/my-app", path.join(__dirname, "path/to/models"));

Creating a Model

Here is an example Model that can be found in /models/User.js

import MongoODM from "@cameronct/mongo-odm";

const User = new MongoODM.Model("users", [
    { name: "name", type: MongoODM.FieldTypes.String, required: true },
    { name: "email", type: MongoODM.FieldTypes.String, required: true },
    { name: "password", type: MongoODM.FieldTypes.String, required: true },
    { name: "type", type: MongoODM.FieldTypes.String, default: "basic" },
], [ 
    { name: "uniqueEmail", fields: { email: "text" } },
])

Using a Model

Some examples, most native functionality from MongoDB will work here.

import User from "./models/User";

await User.count({ email: "@example.com" });
await User.findOne({ email: "@example.com" });
await User.findOneOrCreate({ email: "@example.com" }, { name: "test", email: "@example.com" });
await User.findOneAndUpdate({ email: "@example.com" }, { name: "test", email: "[email protected]" }, "$set");
await User.insertOne({ name: "test", email: "@example.com" });
await User.updateOne({ email: "@example.com" }, { name: "test", email: "[email protected]" }, "$set");
await User.removeOne({ email: "@example.com" });

Using QueryBuilder

This is not a recommend way of doing my library, as you're essentially doing the same thing as using the native MongoDB driver. However, you can use the QueryBuilder class directly to interact with the Database which will skip the entire Model/Schematic aspect of the library.

The only difference is you will specify the collection name manually, like in the example it's doing the queries in the users collection.

import MongoODM from "@cameronct/mongo-odm";

const queryBuilder = new MongoODM.QueryBuilder();

await queryBuilder.count("users", { email: "@example.com" });
await queryBuilder.findOne("users", { email: "@example.com" });
await queryBuilder.findOneOrCreate("users", { email: "@example.com" }, { name: "test", email: "@example.com" });
await queryBuilder.findOneAndUpdate("users", { email: "@example.com" }, { name: "test", email: "[email protected]" }, "$set");
await queryBuilder.insertOne("users", { name: "test", email: "@example.com" });
await queryBuilder.updateOne("users", { email: "@example.com" }, { name: "test", email: "[email protected]" }, "$set");
await queryBuilder.removeOne("users", { email: "@example.com" });

Documents

When a document is inserted into the collection, we specifically add createdAt field for new documents using insertOne, insertMany and findOneOrCreate. We also add an updatedAt field for new documents using updateOne, updateMany and findOneAndUpdate

These parameters cannot be overridden inside of the Model. I may change this functionality later, but for now it is what it is.

Tests

Inserting 50,000 documents using insertMany. Code for generating documents is below.

function generateTestData() {
    const documents = Array.from({ length: 50000 }, (_, index) => ({
        name: `Student ${index}`,
        age: Math.floor(Math.random() * 100),
    }));

    return documents;
}

Results:

MongoDB Native Test completed in 297 milliseconds
Mongoose Test completed in 1883 milliseconds
MongoODM Test completed in 313 milliseconds