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

Executing Simple Queries

Now that we have connected to MongoDB, we can run some simple queries against the database. Running queries in the Node.js driver is very similar to running queries in the shell. By now, you should be familiar with the find command in the shell:

db.movies.findOne({})

Here is the syntax for the find command in the driver:

collection.find({title: 'Blacksmith Scene'}).each(function(err, doc) { … }

As you can see, the general structure is the same as the find command you would execute in the mongo shell. Here, we get a collection from the database object, and then we run the find command against that collection with a query document. The process itself is straightforward. The main differences concern how we structure our commands and how we handle the results returned from the driver.

When writing Node.js applications, one of the critical concerns is to ensure that your code is written in such a way that it can be modified, extended...