Book Image

Learn MongoDB 4.x

By : Doug Bierer
Book Image

Learn MongoDB 4.x

By: Doug Bierer

Overview of this book

When it comes to managing a high volume of unstructured and non-relational datasets, MongoDB is the defacto database management system (DBMS) for DBAs and data architects. This updated book includes the latest release and covers every feature in MongoDB 4.x, while helping you get hands-on with building a MongoDB database app. You’ll get to grips with MongoDB 4.x concepts such as indexes, database design, data modeling, authentication, and aggregation. As you progress, you’ll cover tasks such as performing routine operations when developing a dynamic database-driven website. Using examples, you’ll learn how to work with queries and regular database operations. The book will not only guide you through design and implementation, but also help you monitor operations to achieve optimal performance and secure your MongoDB database systems. You’ll also be introduced to advanced techniques such as aggregation, map-reduce, complex queries, and generating ad hoc financial reports on the fly. Later, the book shows you how to work with multiple collections as well as embedded arrays and documents, before finally exploring key topics such as replication, sharding, and security using practical examples. By the end of this book, you’ll be well-versed with MongoDB 4.x and be able to perform development and administrative tasks associated with this NoSQL database.
Table of Contents (22 chapters)
1
Section 1: Essentials
5
Section 2: Building a Database-Driven Web Application
9
Section 3: Digging Deeper
13
Section 4: Replication, Sharding, and Security in a Financial Environment
14
Working with Complex Documents Across Collections

Updating customer contact information

The simplest—and probably most common—type of update would be to update contact information. First, it's extremely important to test your update filter by using it in a db.collection.find() command. The reason why we use db.collection.find() instead of db.collection.findOne() is because you need to ensure that your update only affects the one customer! Thus, if we wish to change the email address and phone number for a fictitious customer named Ola Mann, we start with this command:

db.customers.findOne({ "email" : "[email protected]" });

Now that we have verified the existing customer email is correct and that our filter only affects one document, we are prepared to issue the update, as follows:

db.customers.updateOne(
{"email" : "[email protected]"},
{ $set: {
"email" : "[email protected]",
"phoneNumber" : "+94-111-222-3333...