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MongoDB Fundamentals

MongoDB Fundamentals

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

MongoDB Fundamentals

5 (24)
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)
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Preface

Query Analysis

In order to write efficient queries, it is important to analyze them, find any possible performance issues, and fix them. This technique is called performance optimization. There are many factors that can negatively affect the performance of a query, such as incorrect scaling, incorrectly structured collections, and inadequate resources such as RAM and CPU. However, the biggest and most common factor is the difference between the number of records scanned and the number of records returned during the query execution. The greater the difference is, the slower the query will be. Thankfully, in MongoDB, this factor is the easiest to address and is done using indexes.

Creating and using indexes on a collection narrows down the number of records being scanned and improves the query performance noticeably. Before we delve further into indexes, though, we first need to cover the details of query execution.

Say you want to find a list of the movies released in the...

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MongoDB Fundamentals
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