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

Hiding and Dropping Indexes

Dropping an index means removing the values of the fields from the index registry. Thus, any searches on the related fields will be performed in a linear fashion, provided there are no other indexes present on the field.

It is important to note that MongoDB does not allow updating an existing index. Thus, to fix an incorrectly created index, we need to drop it and recreate it correctly.

An index is deleted using the dropIndex function. It takes a single parameter, which can either be the index name or the index specification document, as follows:

db.collection.dropIndex(indexNameOrSpecification)

The index specification document is the definition of the index that is used to create it (like the following snippet, for example):

db.movies.createIndex(
    {title: 1}
)

Consider the following snippet:

db.movies.dropIndex(
     {title: 1}
)

This command drops the index on the title field of the movies...