Book Image

MongoDB Fundamentals

By : Amit Phaltankar, Juned Ahsan, Michael Harrison, Liviu Nedov
Book Image

MongoDB Fundamentals

By: Amit Phaltankar, Juned Ahsan, Michael Harrison, Liviu Nedov

Overview of this book

MongoDB is one of the most popular database technologies for handling large collections of data. This book will help MongoDB beginners develop the knowledge and skills to create databases and process data efficiently. Unlike other MongoDB books, MongoDB Fundamentals dives into cloud computing from the very start – showing you how to get started with Atlas in the first chapter. You will discover how to modify existing data, add new data into a database, and handle complex queries by creating aggregation pipelines. As you progress, you'll learn about the MongoDB replication architecture and configure a simple cluster. You will also get to grips with user authentication, as well as techniques for backing up and restoring data. Finally, you'll perform data visualization using MongoDB Charts. You will work on realistic projects that are presented as bitesize exercises and activities, allowing you to challenge yourself in an enjoyable and attainable way. Many of these mini-projects are based around a movie database case study, while the last chapter acts as a final project where you will use MongoDB to solve a real-world problem based on a bike-sharing app. By the end of this book, you'll have the skills and confidence to process large volumes of data and tackle your own projects using MongoDB.

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Table of Contents (15 chapters)
Preface
About the Book
1
1. Introduction to MongoDB
1. Introduction to MongoDB
Introduction
Database Management Systems
Introduction to MongoDB
MongoDB Editions
The MongoDB Deployment Model
Managing MongoDB
MongoDB Atlas
MongoDB Atlas Organizations, Projects, Users, and Clusters
Summary
Free Chapter
2
2. Documents and Data Types
2. Documents and Data Types
Introduction
Introduction to JSON
BSON
MongoDB Documents
MongoDB Data Types
Limits and Restrictions on Documents
Field Name Rules
Summary
3
3. Servers and Clients
3. Servers and Clients
Introduction
Network Access
Database Access
The Database Client
Server Commands
Summary
4
4. Querying Documents
4. Querying Documents
Introduction
MongoDB Query Structure
Basic MongoDB Queries
Conditional Operators
Logical Operators
Regular Expressions
Query Arrays and Nested Documents
Limiting, Skipping, and Sorting Documents
Summary
5
5. Inserting, Updating, and Deleting Documents
5. Inserting, Updating, and Deleting Documents
Introduction
Inserting Documents
Deleting Documents
Replacing Documents
Modify Fields
Update Operators
Summary
6
6. Updating with Aggregation Pipelines and Arrays
6. Updating with Aggregation Pipelines and Arrays
Introduction
Updating Array Fields
Summary
7
7. Data Aggregation
7. Data Aggregation
Introduction
aggregate Is the New find
Manipulating Data
Working with Large Datasets
Getting the Most from Your Aggregations
Summary
8
8. Coding JavaScript in MongoDB
8. Coding JavaScript in MongoDB
Introduction
Connecting to the Driver
Executing Simple Queries
Callbacks and Error Handling in Node.js
Callbacks in Node.js
Advanced Queries
Summary
9
9. Performance
9. Performance
Introduction
Query Analysis
Introduction to Indexes
Creating and Listing Indexes
Query Analysis after Indexes
Hiding and Dropping Indexes
Type of Indexes
Properties of Indexes
Other Query Optimization Techniques
Summary
10
10. Replication
10. Replication
Introduction
Client Connections
Deploying Clusters
Cluster Operations
Summary
11
11. Backup and Restore in MongoDB
11. Backup and Restore in MongoDB
Introduction
The MongoDB Utilities
Exporting MongoDB Data
Importing Data into MongoDB
Backing up an Entire Database
Restoring a MongoDB Database
Summary
12
12. Data Visualization
12. Data Visualization
Introduction
Complex Charts
Channels
Integration
Summary
13
13. MongoDB Case Study
13. MongoDB Case Study
Introduction
Fair Bay City Council
Fair Bay City Bikes
Technical Discussions and Decisions
Database Design
Use Cases
Summary
Appendix
1. Introduction to MongoDB
2. Documents and Data Types
3. Servers and Clients
4. Querying Documents
5. Inserting, Updating, and Deleting Documents
6. Updating with Aggregation Pipelines and Arrays
7. Data Aggregation
8. Coding JavaScript in MongoDB
9. Performance
10. Replication
11. Backup and Restore in MongoDB
12. Data Visualization

The MongoDB Deployment Model

MongoDB can run on a variety of platforms, including Windows, macOS, and different flavors of Linux. You can install MongoDB on a single machine or a cluster of machines. Multiple machine installation provides high availability and scalability. The following list details each of these installation types:

Standalone

Standalone installation is a single-machine installation and is meant mainly for development or experimental purposes. You can refer to the Preface for the steps to install MongoDB on your system.

Replica Set

A replica set in MongoDB is a group of processes or servers that work together to provide data redundancy and high availability. Running MongoDB as a standalone process is not highly reliable because you may lose access to your data due to connectivity issues and disk failures. Using a replica set solves these problems as the data copies are stored on multiple servers. It requires at least three servers in a cluster. These servers are configured as the primary, secondaries, or arbiters. You will learn more about the replica set and its benefits in Chapter 9, Replication.

Sharded

Sharded deployments allow you to store the data in a distributed way. They are required for applications that manage massive data and expect high throughput. A shard contains a subset of the data, and each shard must use a replica set to provide redundancy of the data that it holds. Multiple shards working together provide a distributed and replicated dataset.

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