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

Reading data


This section looks at querying the database in detail. Querying returns a subset of documents in a table—from no documents at all to the entire table. Which documents get returned depends on what type of filtering we do in the query. The absence of the filter() command matches everything in a table.

One of the most common queries that you might want to run is reading all documents from a table. While this may not be a very efficient query when the table contains thousands of entries as it requires scanning the entire table, it can definitely be useful for debugging purposes.

We can read the entire table from the database just by selecting the database and an appropriate table as follows:

r.db('test').table('people')

If you've been running the queries from the previous sections, the result will contain three documents:

Note

For a more concise result view, you can choose the "table view" from the Data Explorer.

Filtering results

We can use the filter() command in the query to restrict...