Book Image

Learn MongoDB 4.x

By : Doug Bierer
Book Image

Learn MongoDB 4.x

By: Doug Bierer

Overview of this book

When it comes to managing a high volume of unstructured and non-relational datasets, MongoDB is the defacto database management system (DBMS) for DBAs and data architects. This updated book includes the latest release and covers every feature in MongoDB 4.x, while helping you get hands-on with building a MongoDB database app. You’ll get to grips with MongoDB 4.x concepts such as indexes, database design, data modeling, authentication, and aggregation. As you progress, you’ll cover tasks such as performing routine operations when developing a dynamic database-driven website. Using examples, you’ll learn how to work with queries and regular database operations. The book will not only guide you through design and implementation, but also help you monitor operations to achieve optimal performance and secure your MongoDB database systems. You’ll also be introduced to advanced techniques such as aggregation, map-reduce, complex queries, and generating ad hoc financial reports on the fly. Later, the book shows you how to work with multiple collections as well as embedded arrays and documents, before finally exploring key topics such as replication, sharding, and security using practical examples. By the end of this book, you’ll be well-versed with MongoDB 4.x and be able to perform development and administrative tasks associated with this NoSQL database.
Table of Contents (22 chapters)
1
Section 1: Essentials
5
Section 2: Building a Database-Driven Web Application
9
Section 3: Digging Deeper
13
Section 4: Replication, Sharding, and Security in a Financial Environment
14
Working with Complex Documents Across Collections

Modifying the products domain service

We have mentioned a number of times that the simple web application defined in this chapter follows the action-domain-responder design pattern. Accordingly, the domain service just needs to keep doing the same job it has been doing all along. This class has no awareness of how the request is made, nor is it concerned with the output format. The action script handles the incoming request, and the responder class handles the output.

The domain service we need to deal with is sweetscomplete.domain.product.ProductService. We need to define a method that returns a dictionary of all products. The final result is a dictionary of products with productKey as the key and a partially populated Product entity as the value. The entity needs to include productKey, title, and price:

    # sweetscomplete.domain.product.ProductService
def fetchAllKeyCategoryTitlePriceForRest(self, skip = 0, limit = 0) :
projection = dict({"productKey":1...