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

Adding the appropriate methods to the domain service class

There are two ways to go about modeling queries in a domain service class. One approach is to create a method that explicitly produces the results for a report. In this approach, the complex logic needed to produce the report goes into the domain service class. This approach, which we call the Custom Query Method approach, is useful in situations where it is called frequently, and where you wish to hide the complexity of the logic from any calling program.

An alternative approach is to simply create a wrapper for existing pymongo functionality. We call this the Generic Query Method approach. This approach is useful if you wish to extend the flexibility of your domain service class, but places the burden on the calling program to formulate the appropriate query and logic to process the results.

We'll start by discussing the Generic Query Method approach.