Introduction

In the previous chapters, we covered the basics of MongoDB, its document-based data model, data types, clients, and the MongoDB server. We created an Atlas cluster on the cloud, loaded sample datasets, and connected using different clients. Now that we have the data, we can start writing queries to retrieve documents from the collections. Queries are used to retrieve meaningful data from the database. We will begin by learning about query syntax, how to use operators, and the techniques we can use to format the result sets. Practicing and mastering the query language will help you find any required document quickly and efficiently.

For any database management system, having a powerful query language is as important as its storage model, or its scalability. Consider that you are working on a database platform that offers an excellent storage model or an extremely high-performance database engine. However, it has very poor query language support, because of which you...