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.
Table of Contents (15 chapters)
Preface

Type of Indexes

We have seen how indexes help with query performance and how we can create, drop, and list indexes in the collection. MongoDB supports different types of indexes, such as single key, multikey, and compound indexes. Each of these indexes has different advantages that you will need to know before deciding which type is suitable for your collection. Let's start with a brief overview of default indexes.

Default Indexes

As seen in the previous chapters, each document in a collection has a primary key (namely, the _id field) and is indexed by default. MongoDB uses this index to maintain the uniqueness of the _id field, and it is available on all the collections.

Single-Key Indexes

An index created using a single field from a collection is called a single-key index. You used a single-key index earlier in this chapter. The syntax is as follows:

db.collection.createIndex({ field1: type}, {options})

Compound Indexes

Single-key indexes are preferable...