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

Query Arrays and Nested Documents

In Chapter 2, Documents and Data Types, we learned that MongoDB documents support complex object structures such as arrays, nested objects, arrays of objects, and more. The arrays and nested documents help store self-contained information. It is extremely important to have a mechanism to easily search for and retrieve the information stored in such complex structures. The MongoDB query language allows us to query such complex structures in the most intuitive manner. First, we will learn how to run queries on the array elements, and then we will learn how to run them on nested object fields.

Finding an Array by an Element

Querying over an array is similar to querying any other field. In the movies collection, there are several arrays, and the cast field is one of them. Consider that, in your movies service, the user wants to find movies starring the actor Charles Chaplin. To create the query for this search, use an equality check on the field...

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