Book Image

Getting Started with RethinkDB

By : Gianluca Tiepolo
Book Image

Getting Started with RethinkDB

By: Gianluca Tiepolo

Overview of this book

RethinkDB is a high-performance document-oriented database with a unique set of features. This increasingly popular NoSQL database is used to develop real-time web applications and, together with Node.js, it can be used to easily deploy them to the cloud with very little difficulty. Getting Started with RethinkDB is designed to get you working with RethinkDB as quickly as possible. Starting with the installation and configuration process, you will learn how to start importing data into the database and run simple queries using the intuitive ReQL query language. After successfully running a few simple queries, you will be introduced to other topics such as clustering and sharding. You will get to know how to set up a cluster of RethinkDB nodes and spread database load across multiple machines. We will then move on to advanced queries and optimization techniques. You will discover how to work with RethinkDB from a Node.js environment and find out all about deployment techniques. Finally, we’ll finish by working on a fully-fledged example that uses the Node.js framework and advanced features such as Changefeeds to develop a real-time web application.
Table of Contents (15 chapters)
Getting Started with RethinkDB
Credits
About the Author
Acknowledgement
About the Reviewer
www.PacktPub.com
Preface
Index

Inserting documents


In this example, we're going to look at how to insert some data into our newly created table. As you may remember from Chapter 2, The ReQL Query Language you can add data to a table using the insert command. Adding data from a RethinkDB script follows exactly the same syntax.

As an example, a query that inserts the name of a person into the database looks as follows:

r.table("posts").insert({ name: "Matt" }).run(conn, callback);

It's now time to write our first full-fledged Node.js script. We're going to write a script that inserts some random data generated by a Node.js module. In particular, we're going to insert data about people: a name and an e-mail address.

To generate this sample data, we are going to use a module called faker. The first step is to install this module using the NPM package manager. You can do so by running the following command from a terminal window:

sudo npm install faker

We are now going to write a script that generates 100 random names and e-mail...