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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

Authentication and Authorization

1. Authentication

Authentication ensures that only authorized users and applications can access your MongoDB database.

a. Enable Authentication

By default, MongoDB allows access without authentication, which is a major security risk in production. You should always enable authentication to ensure only authorized users can connect to the database.

  1. Start MongoDB with authentication enabled:
    • If using MongoDB locally, you can enable authentication by adding the --auth flag when starting the MongoDB server:bashCopy codemongod --auth --dbpath /path/to/db
    • Alternatively, you can set this flag in the mongod.conf file:yamlCopy codesecurity: authorization: enabled
  2. Create an Admin User: Once authentication is enabled, you can create an admin user to manage the database and other users:bashCopy codemongo use admin db.createUser({ user: "admin", pwd: "yourAdminPassword", // Choose a strong password roles: [{ role: "root", db: "admin" }] })
  3. Create Application-Specific Users: Create additional users with specific roles and permissions for your applications:bashCopy codedb.createUser({ user: "myappUser", pwd: "myAppPassword", roles: [{ role: "readWrite", db: "myappDB" }] })

b. Authentication Mechanisms

MongoDB supports several authentication mechanisms:

  • SCRAM-SHA-256 (default and recommended): Provides hashed password storage and is used by default in MongoDB 4.0 and above.
  • X.509 Certificates: Used for authentication via client certificates.
  • LDAP Authentication: Allows MongoDB to authenticate users via an external LDAP server.

For most use cases, SCRAM-SHA-256 will suffice.

2. Authorization

Authorization ensures that users have the appropriate permissions to access and perform actions on resources like databases, collections, and documents.

a. Use Role-Based Access Control (RBAC)

MongoDB provides a role-based access control (RBAC) system to assign specific roles to users.

  • Built-in Roles: MongoDB provides predefined roles, such as:
    • read: Grants read access to a database.
    • readWrite: Grants read and write access to a database.
    • dbAdmin: Grants administrative access to a database.
    • userAdmin: Grants user management permissions.
    • root: Superuser role with full access to all databases.
  • Create Custom Roles: You can create custom roles that are specific to your application’s needs.Example:bashCopy codedb.createRole({ role: "customRole", privileges: [ { resource: { db: "myappDB", collection: "" }, actions: [ "find", "insert", "update" ] } ], roles: [] })

b. Principle of Least Privilege

Always grant the minimum necessary permissions. For example, avoid giving write permissions if the user only needs read access. Always use the least privileged roles necessary for the task.

3. Data Encryption

Data encryption ensures that sensitive data is protected both at rest (when stored in the database) and in transit (when being sent over the network).

a. Enable TLS/SSL Encryption for Data in Transit

To encrypt data in transit (between the client application and the MongoDB server), you need to enable TLS/SSL encryption.

  1. Create SSL Certificates (self-signed or signed by a trusted Certificate Authority):bashCopy codeopenssl req -new -newkey rsa:2048 -days 365 -nodes -keyout mongodb.key -out mongodb.csr openssl x509 -req -in mongodb.csr -signkey mongodb.key -out mongodb.crt
  2. Configure MongoDB to Use SSL:
    • Update your mongod.conf to enable SSL:yamlCopy codenet: ssl: mode: requireSSL PEMKeyFile: /path/to/mongodb.crt PEMKeyPassword: your_key_password
  3. Connect Using SSL from a Node.js application: When connecting with Mongoose in Node.js, you need to specify the ssl option:javascriptCopy codemongoose.connect('mongodb://username:password@localhost:27017/myappDB', { ssl: true, sslValidate: true, sslCA: '/path/to/ca.pem', });

b. Enable Encryption at Rest

MongoDB Enterprise offers Encryption at Rest using WiredTiger encryption. Encryption at rest ensures that data is encrypted when stored on disk.

  1. Enable Encryption at Rest: This requires MongoDB Enterprise. In your mongod.conf:yamlCopy codestorage: encryption: enabled: true keyFile: /path/to/your/keyfile
  2. MongoDB Atlas also provides encryption at rest by default.

4. Backup and Disaster Recovery

Backup is critical for data protection, and MongoDB offers several backup solutions.

a. Backup Strategies

  • MongoDB Atlas Backup: If you’re using MongoDB Atlas, backups are automatic.
  • Mongodump: Use the mongodump command to create a backup of your database.bashCopy codemongodump --uri="mongodb://username:password@localhost:27017/myappDB" --out=/path/to/backup
  • Continuous Backup: In MongoDB Enterprise, you can use Ops Manager or Cloud Manager for continuous backup solutions.

b. Encryption of Backups

Ensure that your backups are encrypted, especially if they contain sensitive data. You can use encrypted filesystems or external encryption tools like AWS KMS (Key Management Service).

5. Auditing

MongoDB Enterprise supports auditing, which tracks all activities and changes made in the database. This is essential for monitoring suspicious activities and for compliance with regulatory standards.

Enable Auditing:

In your mongod.conf, you can enable auditing:

yaml

Copy code

auditLog: destination: file format: BSON path: /var/log/mongodb/audit.log

This will log all operations, including authentication events, data access, and administrative actions.

6. Injection Protection

SQL Injection-style attacks are not as common with MongoDB as with SQL databases, but NoSQL injection is still a concern. To prevent injection attacks:

a. Use Parameterized Queries

Always use Mongoose methods and avoid using raw queries with string concatenation.

Unsafe:

javascript

Copy code

User.find({ name: req.query.name }); // Potential for NoSQL injection

Safe:

javascript

Copy code

User.find({ name: { $eq: req.query.name } }); // Ensures proper query formatting

b. Input Validation and Sanitization

Validate and sanitize inputs to avoid malicious content.

  • Use libraries like express-validator to sanitize user inputs:javascriptCopy codeconst { body, validationResult } = require('express-validator'); app.post('/user', [ body('email').isEmail().normalizeEmail(), body('age').isInt({ min: 18, max: 120 }), ], (req, res) => { const errors = validationResult(req); if (!errors.isEmpty()) { return res.status(400).json({ errors: errors.array() }); } // Proceed with creating the user });

7. MongoDB Security Best Practices

  • Disable Remote Access: If not needed, restrict MongoDB to bind to localhost or limit access to specific IP addresses by using the bindIp option in the mongod.conf:yamlCopy codenet: bindIp: 127.0.0.1 # Limit access to localhost
  • Enable IP Whitelisting: On MongoDB Atlas, use IP whitelisting to restrict access to your database from specific IP addresses.
  • Use Strong Passwords: Always use strong, complex passwords for MongoDB users.
  • Rotate Credentials Regularly: Regularly rotate passwords and keys, especially in production environments.
  • Disable JavaScript Execution: Disable MongoDB’s JavaScript execution features (e.g., $where queries) if not needed:yamlCopy codesecurity: javascriptEnabled: false
  • Monitor and Alert: Set up monitoring and alerting (e.g., using MongoDB Atlas, Ops Manager, or other tools) to detect suspicious activities or anomalies in your database.
Error Handling and Validation
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Data Encryption
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