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

Chapter 4. Performance Tuning and Advanced Queries

One of the most important aspects when working with a database is optimization. In this chapter, we will look at how to tune RethinkDB to improve performance. A variety of settings helps us do this, and we'll also take a look at how to optimize queries.

This chapter also introduces RethinkDB's indexing, which allows us to boost query performance when working with large datasets.

In this chapter, you will also learn the following:

  • What indexing is and why you would want to use it

  • How to batch import data into RethinkDB

  • How to profile queries

At the end of the chapter, we'll also take a look at some more advanced queries, including joins and map/reduce queries.