Sign In Start Free Trial

Book Overview & Buying
Table Of Contents

MongoDB Fundamentals

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

5 (24)

MongoDB Fundamentals

5 (24)

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.

Preface

About the Book

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. 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. Servers and Clients

3. Servers and Clients

Introduction

Network Access

Database Access

The Database Client

Server Commands

Summary

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. Inserting, Updating, and Deleting Documents

5. Inserting, Updating, and Deleting Documents

Introduction

Inserting Documents

Deleting Documents

Replacing Documents

Modify Fields

Update Operators

Summary

6. Updating with Aggregation Pipelines and Arrays

6. Updating with Aggregation Pipelines and Arrays

Introduction

Updating Array Fields

Summary

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. 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. 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. Replication

10. Replication

Introduction

Client Connections

Deploying Clusters

Cluster Operations

Summary

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. Data Visualization

12. Data Visualization

Introduction

Complex Charts

Channels

Integration

Summary

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

8. Coding JavaScript in MongoDB

Activity 8.01: Creating a Simple Node.js Application

Solution:

Perform the following steps to complete the activity:

Import the readline and MongoDB libraries:

const readline = require('readline');
const MongoClient = require('mongodb').MongoClient;

Create your readline interface:

const interface = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
});

Declare any variables you will need:

const url = 'mongodb+srv://mike:password@myAtlas-  fawxo.gcp.mongodb.net/test?retryWrites=true&w=majority';
const client = new MongoClient(url);
const databaseName = "sample_mflix";
const collectionName = "movies";

Create a function called list that will fetch the top five films for a given genre, returning their title, favourite, and ID fields. You will need to ask for the category in this function. Look at the login method...

CONTINUE READING

83

Tech Concepts

36

Programming languages

73

Tech Tools

Unlimited access to the largest independent learning library in tech of over 8,000 expert-authored tech books and videos.

Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.

50+ new titles added per month and exclusive early access to books as they are being written.

MongoDB Fundamentals

Search

Your notes and bookmarks