Book Image

MEAN Blueprints

By : Robert Onodi
Book Image

MEAN Blueprints

By: Robert Onodi

Overview of this book

The MEAN stack is a combination of the most popular web development frameworks available—MongoDB, Angular, Express, and Node.js used together to offer a powerful and comprehensive full stack web development solution. It is the modern day web dev alternative to the old LAMP stack. It works by allowing AngularJS to handle the front end, and selecting Mongo, Express, and Node to handle the back-end development, which makes increasing sense to forward-thinking web developers. The MEAN stack is great if you want to prototype complex web applications. This book will enable you to build a better foundation for your AngularJS apps. Each chapter covers a complete, single, advanced end-to-end project. You’ll learn how to build complex real-life applications with the MEAN stack and few more advanced projects. You will become familiar with WebSockets and build real-time web applications, as well as create auto-destructing entities. Later, we will combine server-side rendering techniques with a single page application approach. You’ll build a fun project and see how to work with monetary data in Mongo. You will also find out how to a build real-time e-commerce application. By the end of this book, you will be a lot more confident in developing real-time, complex web applications using the MEAN stack.
Table of Contents (13 chapters)
MEAN Blueprints
About the Author
About the Reviewer

Data modeling

Now that we have a high-level view of our architecture, let's define our models and see how they interact. This will give you a high-level view of how you are going to store your data in the database. Also, it will reflect the connections between different entities and you can decide, in the case of MongoDB, what documents will be embedded and which ones will be referenced.

Custom money data type

In the earlier Expense Tracker application, we concluded that there is a way to work with monetary data in JavaScript and MongoDB. It only needs extra application logic to handle the Exact Precision solution.

Because we are working with Mongoose as our ODM for Mongo, we can define a custom model for monetary data. I know it sounds strange, but it will give us the upper hand by defining virtual properties and reusing the money data type in our application.

Let's create a file called core/models/money.js and add the following Mongoose schema:

'use strict';