Book Image

MongoDB 4 Quick Start Guide

By : Doug Bierer
Book Image

MongoDB 4 Quick Start Guide

By: Doug Bierer

Overview of this book

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.

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MongoDB 4 Quick Start Guide
Doug Bierer
Sep, 2018 | 192 pages
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Table of Contents (11 chapters)
Preface
Preface
Who this book is for
What this book covers
To get the most out of this book
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Free Chapter
1
Introducing MongoDB
Introducing MongoDB
Overview of MongoDB
Installing MongoDB
Installing MongoDB on Linux
Summary
2
Understanding MongoDB Data Structures
Understanding MongoDB Data Structures
What is NoSQL?
Documents, collections, and database
Data-modeling considerations
Creating a MongoDB database and collection
Summary
3
Using the MongoDB Shell
Using the MongoDB Shell
Overview
Performing simple queries
Database and collection operations
Creating, updating, or deleting documents
Creating and running shell scripts
Summary
4
Developing with Program Language Drivers
Developing with Program Language Drivers
Overview of the MongoDB PHP driver
Installing the MongoDB PHP extension
Performing CRUD operations using PHPLIB
Other libraries and framework integration
Summary
5
Building Complex Queries Using Aggregation
Building Complex Queries Using Aggregation
An overview of aggregation
Using single-purpose aggregation
Using the aggregation pipeline
Using map-reduce
Using the MongoDB Compass aggregation pipeline builder
Summary
6
Maintaining MongoDB Performance
Maintaining MongoDB Performance
Indexes
Simple backup and restore
Replication
Sharding
Summary
7
Securing MongoDB
Securing MongoDB
MongoDB security overview
Transport Layer Security
Authentication
Access control
Summary
8
Getting from a Web Form to MongoDB
Getting from a Web Form to MongoDB
Building the application
Configuring transaction support
Adding security
Summary
9
Using Docker
Using Docker
Using MongoDB with Docker
10
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An overview of aggregation

Before diving into the specifics, it's important to lay some groundwork. The first question which comes to mind is, What is aggregation? That question would be logically followed by, Why use it?

What is aggregation?

The main purpose of aggregation operations is to refine query results by grouping together field values from multiple documents, and then performing one or more transformations. Aggregation in MongoDB can be as simple as presenting the results of a query into a set of one or more fields, or as complex as performing a multistage query, breaking the output into buckets, and performing operations on each result set. A more advanced usage would be to manipulate complex fields within...

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