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

Introducing indexing


Indexing is most certainly the number one feature that can boost performance in a database system, and if used correctly, it can simplify even the most complex queries.

But, what exactly is a database index? A database index is a data structure aimed at improving the performance of read queries at the cost of decreasing the performance of write queries and increasing the storage space required by the data.

As a metaphor, we can say that a database index is similar to a book's index Instead of looking through the entire book, the database takes a shortcut and uses an ordered list that points to the correct content, resulting in the queries that are the orders of magnitude faster.

When you interact with a database, you don't have to use an index; although, it is strongly recommended. A query that doesn't make use of an index is called a full table scan, which means that the database has to go through the entire table to find the query result. This process is basically similar...