Book Image

MongoDB Fundamentals

By : Amit Phaltankar, Juned Ahsan, Michael Harrison, Liviu Nedov
Book Image

MongoDB Fundamentals

By: Amit Phaltankar, Juned Ahsan, Michael Harrison, Liviu Nedov

Overview of this book

MongoDB is one of the most popular database technologies for handling large collections of data. This book will help MongoDB beginners develop the knowledge and skills to create databases and process data efficiently. Unlike other MongoDB books, MongoDB Fundamentals dives into cloud computing from the very start – showing you how to get started with Atlas in the first chapter. You will discover how to modify existing data, add new data into a database, and handle complex queries by creating aggregation pipelines. As you progress, you'll learn about the MongoDB replication architecture and configure a simple cluster. You will also get to grips with user authentication, as well as techniques for backing up and restoring data. Finally, you'll perform data visualization using MongoDB Charts. You will work on realistic projects that are presented as bitesize exercises and activities, allowing you to challenge yourself in an enjoyable and attainable way. Many of these mini-projects are based around a movie database case study, while the last chapter acts as a final project where you will use MongoDB to solve a real-world problem based on a bike-sharing app. By the end of this book, you'll have the skills and confidence to process large volumes of data and tackle your own projects using MongoDB.
Table of Contents (15 chapters)
Preface

Other Query Optimization Techniques

So far, we have seen the internal workings of queries and how indexes help limit the number of documents to be scanned. We have also explored various types of indexes and their properties and learned how we can use the correct index and correct index properties in specific use cases. Creating the right index can improve query performance, but there are a few more techniques that are required to fine-tune the query performance. We will cover those techniques in this section.

Fetch Only What You Need

The performance of a query is also affected by the amount of data it returns. The database server and client communicate over a network. If a query produces a large amount of data, it will take longer to transfer it over a network. Moreover, to transfer the data over the network, it needs to be transformed and serialized by the server and deserialized by the receiving client. This means that the database client will have to wait longer to get the...