Document model mental model (JSON/BSON) in MongoDB - Mini Project: Build & Apply

Building a Simple MongoDB Document Model

📖 Scenario: You are creating a small database for a local bookstore. The store wants to keep track of books with details like title, author, and price.

🎯 Goal: Build a MongoDB document model using JSON/BSON format to represent books in the bookstore.

📋 What You'll Learn

Create a document representing a book with specific fields

Add a configuration field for currency

Use a query to find books cheaper than a certain price

Complete the document with an additional field for stock quantity

💡 Why This Matters

🌍 Real World

Document models like this are used in MongoDB to store and organize data for applications such as online stores, libraries, and inventory systems.

💼 Career

Understanding how to structure documents and write queries is essential for roles like database administrators, backend developers, and data engineers working with NoSQL databases.

1

Create the initial book document

Create a MongoDB document called book with these exact fields and values: title set to "The Great Gatsby", author set to "F. Scott Fitzgerald", and price set to 10.99.

MongoDB

# Create the book document with title, author, and price
# Your code here

Need a hint?

Use curly braces to create a document and include the fields exactly as shown.

2

Add a currency field

Add a field called currency to the book document and set it to "USD".

MongoDB

book = {
  "title": "The Great Gatsby",
  "author": "F. Scott Fitzgerald",
  "price": 10.99
}
# Add the currency field below
# Your code here

Need a hint?

Add the new field inside the existing document with a comma separating it from previous fields.

3

Query for books cheaper than a price

Write a MongoDB query called cheap_books_query that finds books with price less than 15.

MongoDB

book = {
  "title": "The Great Gatsby",
  "author": "F. Scott Fitzgerald",
  "price": 10.99,
  "currency": "USD"
}
# Create a query to find books with price less than 15
# Your code here

Need a hint?

Use MongoDB's query operator $lt to find prices less than 15.

4

Add stock quantity to the book document

Add a field called stock to the book document and set it to 30.

MongoDB

book = {
  "title": "The Great Gatsby",
  "author": "F. Scott Fitzgerald",
  "price": 10.99,
  "currency": "USD"
}

cheap_books_query = { "price": { "$lt": 15 } }
# Add the stock field below
# Your code here

Need a hint?

Add the stock field with a comma after the previous field inside the document.