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

Overview

Before we get into the technical details of the implementations described in this chapter, it's necessary to provide an overall view of what we plan to achieve. Django provides an object-to-form mapping by way of its ModelForm class. However, in order to use this class we would need to create Django Models, which correspond to the entity classes we have described to this point. 

The problem with using Django Models and ModelForm classes is that we end up being tied to SQL and the RDBMS way of thinking, which imposes incredible constraints on a MongoDB implementation, and in effect defeats the purpose of using MongoDB in the first place. Such an approach introduces a massive amount of overhead, with additional functionality that is never used. Instead, our proposed solution for adding data to MongoDB documents with embedded objects and arrays is to do the following:

  • Create a Django form class that corresponds to each entity class.
  • Move the posted data from each...