Tinder-like Application

Project Overview

This project implements a simplified version of a Tinder-like application using Node.js, Express.js, and MongoDB. The focus is on designing the database structure and implementing a query to retrieve a paginated list of users for interactions.

Database Schema

The database includes three main collections:

• User: Stores user information including age, gender, and location.
• Interaction: Stores interactions between users (like, superlike, dislike).
• Block: Stores block information indicating which user has blocked another user.

Query Implementation

The getPaginatedUsers function retrieves a paginated list of users based on the following criteria:

• Filters users by age range, gender, and distance from the current user.
• Excludes users that the current user has already interacted with.
• Excludes users that the current user has blocked or who have blocked the current user.
• Sorts users so that those who have superliked the current user appear first.
• Implements pagination with 20 users per page.

Performance Considerations

The implementation is optimized to handle:

• Approximately 30,000 overall users.
• About 3 million interactions between users.
• Support for around 10,000 simultaneous active users, with each user making a request every 2 seconds.

Usage

Installation

1. Clone the repository.
2. Install dependencies using npm install.
3. Set up MongoDB and update the connection string in src/app.js.
4. Run the application using node index.js.

API Endpoint

To retrieve a paginated list of users, send a GET request to: