This repository demonstrates a robust implementation of a Server-Side Application connecting a Node.js runtime environment with a cloud-based MongoDB Atlas database.
The primary objective was to master the Object Data Modeling (ODM) patterns using Mongoose, creating a seamless data flow between the client, the server, and the database. This project implements the MVC (Model-View-Controller) architecture to ensure separation of concerns and code scalability.
- Runtime Environment:
Node.js(Event-driven, non-blocking I/O). - Framework:
Express.js(Handling routing, middleware, and server logic). - Database:
MongoDB Atlas(Cloud NoSQL database). - ODM:
Mongoose(Schema validation and database interaction). - Architecture:
MVC(Models for data, Views for UI, Controllers for logic).
I defined strict data structures using Mongoose Schemas to ensure data integrity before it reaches the database.
- Example: A
Blogmodel requiring specific fields (Title, Snippet, Body) with timestamp validations.
Implemented standardized HTTP methods to handle data operations:
- GET: Fetching all data or specific documents by ID.
- POST: Accepting user input and writing it to the database asynchronously.
- DELETE: Removing specific records via unique identifiers.
Utilized async/await patterns to handle database promises, ensuring the server remains non-blocking while waiting for database responses.
Since this connects to a database, you will need your own connection string.
- Clone the repo:
git clone https://github.com/tsdebug/nodejs_mongodb
- Install Dependencies:
npm install
- Setup Environment:
- You will need to create a
.envfile (or update the connection string inapp.jsif hardcoded) with your MongoDB Atlas URI.
- You will need to create a
- Start the Server:
npm start # OR node app.js - Open
localhost:3000in your browser to see the application running.