Project Overview
Build a complete bookstore application with MongoDB, demonstrating all the concepts you've learned.
- Schema design with Mongoose models
- CRUD operations for books, authors, and reviews
- Aggregation pipeline for statistics
- Indexing for performance
- Data validation and error handling
- Relationships between collections
Data Models
Define the schemas for the bookstore application.
Example
// models/Book.js
const bookSchema = new Schema({
title: { type: String, required: true, index: true },
isbn: { type: String, unique: true },
author: { type: Schema.Types.ObjectId, ref: 'Author', required: true },
genre: { type: String, enum: ['Fiction', 'Non-Fiction', 'Sci-Fi', 'Fantasy', 'Tech'] },
price: { type: Number, required: true, min: 0 },
published: { type: Date },
rating: { type: Number, min: 0, max: 5, default: 0 },
reviews: [{
user: String,
text: String,
rating: { type: Number, min: 1, max: 5 },
date: { type: Date, default: Date.now }
}]
});
// Virtual for average rating
bookSchema.virtual('avgRating').get(function() {
if (!this.reviews.length) return 0;
const sum = this.reviews.reduce((acc, r) => acc + r.rating, 0);
return (sum / this.reviews.length).toFixed(1);
});
module.exports = model('Book', bookSchema);