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Understanding MongoDB Data Structures

In this chapter, we will begin with a discussion of NoSQL, which is a cornerstone of the MongoDB philosophy. After that, we will cover the core MongoDB data structures: fields, documents, and collections. We relate these structures to the RDBMS concepts of tables, rows, and columns, but clearly spell out the dangers of trying to apply an SQL solution to a MongoDB database. In addition, we discuss core data-modeling considerations when crafting the structure of your documents and collections. Finally, the chapter ends by showing you how to create a database and collection.

The topics that we will cover in this chapter are:

What is NoSQL?
Documents, collections, and databases
Data-modeling considerations
Creating a MongoDB database and collection

Key benefits

Create secure databases with MongoDB

Manipulate and maintain your database

Model and use data in a No SQL environment with MongoDB

Description

MongoDB has grown to become the de facto NoSQL database with millions of users, from small start-ups to Fortune 500 companies. It can solve problems that are considered difficult, if not impossible, for aging RDBMS technologies. Written for version 4 of MongoDB, this book is the easiest way to get started with MongoDB. You will start by getting a MongoDB installation up and running in a safe and secure manner. You will learn how to perform mission-critical create, read, update, and delete operations, and set up database security. You will also learn about advanced features of MongoDB such as the aggregation pipeline, replication, and sharding. You will learn how to build a simple web application that uses MongoDB to respond to AJAX queries, and see how to make use of the MongoDB programming language driver for PHP. The examples incorporate new features available in MongoDB version 4 where appropriate.

What you will learn

Get a standard MongoDB database up and running quickly

Perform simple CRUD operations on the database using the MongoDB command shell

Set up a simple aggregation pipeline to return subsets of data grouped, sorted, and filtered

Safeguard your data via replication and handle massive amounts of data via sharding

Publish data from a web form to the database using a program language driver

Explore the basic CRUD operations performed using the PHP MongoDB driver

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