Book Image

Mastering RethinkDB

By : Shahid Shaikh
Book Image

Mastering RethinkDB

By: Shahid Shaikh

Overview of this book

RethinkDB has a lot of cool things to be excited about: ReQL (its readable,highly-functional syntax), cluster management, primitives for 21st century applications, and change-feeds. This book starts with a brief overview of the RethinkDB architecture and data modeling, and coverage of the advanced ReQL queries to work with JSON documents. Then, you will quickly jump to implementing these concepts in real-world scenarios, by building real-time applications on polling, data synchronization, share market, and the geospatial domain using RethinkDB and Node.js. You will also see how to tweak RethinkDB's capabilities to ensure faster data processing by exploring the sharding and replication techniques in depth. Then, we will take you through the more advanced administration tasks as well as show you the various deployment techniques using PaaS, Docker, and Compose. By the time you have finished reading this book, you would have taken your knowledge of RethinkDB to the next level, and will be able to use the concepts in RethinkDB to develop efficient, real-time applications with ease.
Table of Contents (16 chapters)
Mastering RethinkDB
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface

Chapter 1. The RethinkDB Architecture and Data Model

RethinkDB is a real-time, open source distributed database. It stores JSON documents (basically unstructured data) in an operable format with distribution (sharding and replication). It also provides the real-time push of JSON data to the server, which redefines the entire real-time web application development.

In this chapter, we will look over its architecture and key elements in order to understand how RethinkDB supports these awesome features with high performance. We will also look over data modeling along with SQL operations in NoSQL, that is, joins.

Here is the list of topics we are going to cover in this chapter:

  • RethinkDB architectural components

  • Sharding and replication in RethinkDB

  • RethinkDB failover handling

  • The RethinkDB data model

  • Data modeling in RethinkDB