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  • MongoDB – (No-SQL)

MongoDB – (No-SQL)

Curriculum

  • 10 Sections
  • 31 Lessons
  • 10 Weeks
Expand all sectionsCollapse all sections
  • Introduction to MongoDB
    MongoDB is a NoSQL database that is designed for handling large volumes of unstructured or semi-structured data. Unlike traditional relational databases (RDBMS) that use tables and rows to organize data, MongoDB stores data in a flexible document-oriented format using JSON-like documents (BSON - Binary JSON). This makes it highly scalable, flexible, and performant for applications that need to handle varying types of data with complex structures.
    5
    • 1.1
      What is MongoDB?
    • 1.2
      Why MongoDB?
    • 1.3
      When to use MongoDB?
    • 1.4
      Key Features of MongoDB
    • 1.5
      Installing MongoDB
  • MongoDB Basic Operations
    MongoDB provides a rich set of basic operations for interacting with the database, including creating, reading, updating, and deleting data (often abbreviated as CRUD operations). Below are the basic operations that you can perform with MongoDB.
    2
    • 2.0
      Database and Collection Basics
    • 2.1
      CRUD Operations
  • Advanced Querying Techniques
    MongoDB offers a rich set of querying capabilities, and as you work with larger datasets and more complex application requirements, you’ll often need to use advanced querying techniques. These techniques help you optimize performance, execute sophisticated queries, and leverage MongoDB’s powerful indexing and aggregation features.
    4
    • 3.1
      Query Filters and Operators
    • 3.2
      Advanced Querying
    • 3.3
      Sorting and Limiting Results
    • 3.4
      Aggregation Framework
  • Data Modeling and Schema Design
    Data modeling and schema design are critical when using MongoDB (or any NoSQL database) to ensure efficient data storage, fast queries, and scalability. Unlike relational databases, MongoDB is schema-less, which means you are not required to define a fixed schema upfront. However, making the right design decisions from the beginning is essential for maintaining performance and avoid complications as your data grows.
    4
    • 4.1
      Data Modeling
    • 4.2
      Document Structure
    • 4.3
      Schema Design Patterns
    • 4.4
      MongoDB and Relationships
  • Indexing and Performance Optimization
    In MongoDB, indexing is a critical part of performance optimization. Without proper indexes, MongoDB has to scan every document in a collection to satisfy queries, which can be very inefficient for large datasets. Indexes are used to quickly locate data without scanning every document, making reads faster and more efficient.
    3
    • 5.0
      Creating Indexes
    • 5.1
      Using Text Search
    • 5.2
      Performance Optimization
  • Integrating MongoDB with a Web Application (Node.js)
    Integrating MongoDB with a web application built using Node.js is a common and powerful combination for building scalable and efficient web apps. MongoDB’s flexibility with JSON-like data and Node.js's asynchronous event-driven architecture work well together. In this guide, I'll walk you through the steps for integrating MongoDB with a Node.js web application, covering the essentials of setting up the connection, performing CRUD operations, and using popular libraries.
    3
    • 6.0
      Setting Up MongoDB with Node.js
    • 6.1
      CRUD Operations with Mongoose
    • 6.2
      Error Handling and Validation
  • Security in MongoDB
    Security is an essential aspect when working with MongoDB, especially when handling sensitive data in production environments. MongoDB provides a variety of security features to help protect your data against unauthorized access, injection attacks, and other vulnerabilities. Here’s a guide on securing MongoDB and your Node.js application when interacting with MongoDB.
    2
    • 7.0
      Authentication and Authorization
    • 7.1
      Data Encryption
  • Working with MongoDB in Production
    3
    • 8.0
      MongoDB Backup and Restore
    • 8.1
      MongoDB Scaling and Sharding
    • 8.2
      MongoDB Replication
  • Deploying and Monitoring MongoDB
    Working with MongoDB in a production environment requires careful planning, attention to detail, and best practices to ensure optimal performance, security, reliability, and scalability.
    3
    • 9.0
      Deploying MongoDB to Production
    • 9.1
      Monitoring and Management
    • 9.2
      Summary for MongoDB deployment on Production
  • Building a Web App with MongoDB (Final Project)
    Demo Project (OneStopShop)
    2
    • 10.0
      Building the Application
    • 10.1
      Final Project Features

Setting Up MongoDB with Node.js

To connect to MongoDB from a Node.js application, you need to use a MongoDB client, with Mongoose being the most popular library for this purpose. Here’s how you can set up the connection using Mongoose, assuming that MongoDB is already installed (either locally or using MongoDB Atlas), and that Node.js is properly set up.

1. Install Dependencies

First, make sure you have the necessary packages installed in your Node.js project. You’ll need Express (for handling HTTP requests) and Mongoose (for interacting with MongoDB).

If you haven’t installed them yet, do so by running:

npm install express mongoose

2. Create the server.js file

This will be the entry point for your Node.js application. Inside this file, you will connect to MongoDB using Mongoose.

const express = require('express'); const mongoose = require('mongoose'); // Create an Express app const app = express(); // Middleware to parse JSON requests app.use(express.json()); // MongoDB URI // Replace the URI with your own MongoDB connection string // For local MongoDB: // const mongoURI = 'mongodb://localhost:27017/myapp'; // For MongoDB Atlas: const mongoURI = 'mongodb+srv://<username>:<password>@cluster0.mongodb.net/myapp'; // Connect to MongoDB using Mongoose mongoose.connect(mongoURI, { useNewUrlParser: true, useUnifiedTopology: true, }) .then(() => console.log('Connected to MongoDB...')) .catch((err) => console.error('Error connecting to MongoDB:', err)); // Define a simple route to test the connection app.get('/', (req, res) => { res.send('Hello, MongoDB with Node.js!'); }); // Start the Express server const port = process.env.PORT || 3000; app.listen(port, () => { console.log(`Server is running on port ${port}...`); });

3. MongoDB URI

You need to provide a connection URI for MongoDB. This URI contains the database location and credentials.

For Local MongoDB:

If MongoDB is running locally, the URI would look like this:

const mongoURI = 'mongodb://localhost:27017/myapp';

For MongoDB Atlas:

If you’re using MongoDB Atlas (cloud), you’ll get the connection URI after setting up a cluster. It will look something like this:

const mongoURI = 'mongodb+srv://<username>:<password>@cluster0.mongodb.net/myapp';

Replace <username> and <password> with your actual MongoDB credentials. The <dbname> (in this case, myapp) refers to the name of the database you wish to connect to.

4. Connecting to MongoDB using Mongoose

In the example above, the mongoose.connect() function is used to establish a connection to MongoDB. The two options used here, useNewUrlParser and useUnifiedTopology, are to avoid deprecation warnings and ensure a stable connection:

mongoose.connect(mongoURI, { useNewUrlParser: true, useUnifiedTopology: true, }) .then(() => console.log('Connected to MongoDB...')) .catch((err) => console.error('Error connecting to MongoDB:', err));

5. Handling Connection Events

Mongoose emits several events that can be useful for managing and debugging your connection. You can listen to these events to get more details about the connection status.

Example:

mongoose.connection.on('connected', () => { console.log('Mongoose connected to MongoDB'); }); mongoose.connection.on('error', (err) => { console.log('Mongoose connection error:', err); }); mongoose.connection.on('disconnected', () => { console.log('Mongoose disconnected'); });

6. Testing the Connection

To verify that your MongoDB connection works, you can create a simple route that makes a query to the database.

Here’s how you can test it by querying a MongoDB collection after establishing the connection:

Example: Create a simple route that retrieves users

  1. Create a User model: Define the schema for a user document and create the model to interact with MongoDB.

// userModel.js const mongoose = require('mongoose'); // Define the User schema const userSchema = new mongoose.Schema({ name: { type: String, required: true }, email: { type: String, required: true, unique: true }, age: { type: Number, required: true }, }); // Create the User model const User = mongoose.model('User', userSchema); module.exports = User;

  1. Querying MongoDB to get all users:

Now, you can create a simple route to query all users from the database and return them in the response.

const User = require('./userModel'); // Import the User model // Route to get all users app.get('/users', async (req, res) => { try { const users = await User.find(); // Retrieve all users from the database res.status(200).json(users); // Send the users as a JSON response } catch (err) { res.status(500).send('Error retrieving users'); } });

7. Start the Server

Once you’ve set up the connection and routes, you can run the server:

node server.js

8. Test the API

  1. Open a browser or use Postman or cURL to test your API endpoints:
    • GET request to / should return “Hello, MongoDB with Node.js!”.
    • GET request to /users should return the list of users (if you have any in the database).

Conclusion

At this point, you have successfully connected MongoDB to your Node.js application. The steps outlined above allow you to:

  • Connect to MongoDB using Mongoose.
  • Handle MongoDB connection events.
  • Test the connection by performing CRUD operations (like retrieving users).

This is just the foundation—once the connection is established, you can start building more complex routes and functionality around your MongoDB database (e.g., creating users, updating documents, deleting records, etc.).

Performance Optimization
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CRUD Operations with Mongoose
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