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

Updating and deleting documents


Now that you've inserted a few documents into your RethinkDB table, you'll probably be wondering how to update or delete these documents using Node.js.

You'll be happy to know that the queries for updating and removing are exactly the same as the ones you learned in Chapter 2, The ReQL Query Language and used in the web interface. Let's go over them very briefly.

RethinkDB provides us with the update command to update the existing documents. This command accepts as input a JSON document with the required changes. As an example, suppose we want to add a gender field to all documents in the fake_data table. We can do so with the following lines of code:

r.table('fake_data').update({gender: "male"}).run(conn, function(err, result) {
    if (err) throw err;
    console.log(result);
});

As you can see, the query syntax is exactly the same as running it from the web interface. The only difference is appending the run command at the end of the query.

Now, let's take look...