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.

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Mastering RethinkDB
Shahid Shaikh
Dec, 2016 | 330 pages
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Table of Contents (16 chapters)
Mastering RethinkDB
Mastering RethinkDB
Credits
Credits
About the Author
About the Author
About the Reviewer
About the Reviewer
www.PacktPub.com
www.PacktPub.com
Preface
Preface
Free Chapter
1
The RethinkDB Architecture and Data Model
The RethinkDB Architecture and Data Model
RethinkDB architectural components
Query execution in RethinkDB
Filesystem and data storage
Sharding and replication
Automatic failover handling in RethinkDB
About voting replicas
The RethinkDB data model
Constraints and limitation in RethinkDB
Summary
2
RethinkDB Query Language
RethinkDB Query Language
Embedding ReQL in a programming language
ReQL queries are chainable
ReQL queries are executed on a server
Performing conditional queries
Performing string operations
Performing MapReduce operations
Calling HTTP APIs using ReQL
Handling binary objects
Performing JOINS
Accessing changefeed (real-time feed) in RethinkDB
Performing geolocation operations
Performing administrative operations
Summary
3
Data Exploration Using RethinkDB
Data Exploration Using RethinkDB
Generating mock data
Executing data exploration use cases
Summary
4
Performance Tuning in RethinkDB
Performance Tuning in RethinkDB
Clustering
Creating and handling a RethinkDB cluster
Securing our RethinkDB cluster
Executing ReQL queries in a cluster
Performing replication of tables in RethinkDB
Sharding the table to scale the database
Running a RethinkDB proxy node
Optimizing query performance
Summary
5
Administration and Troubleshooting Tasks in RethinkDB
Administration and Troubleshooting Tasks in RethinkDB
Understanding access controls and permission in RethinkDB
Failover handling in RethinkDB
Performing a manual and automatic backup in RethinkDB
Data import and export in RethinkDB
Crash recovery in RethinkDB
Using third-party tools
Summary
6
RethinkDB Deployment
RethinkDB Deployment
Deploying RethinkDB using PaaS services
Deploying RethinkDB using Docker
Deploying RethinkDB on a standalone server
Summary
7
Extending RethinkDB
Extending RethinkDB
Integrating RethinkDB with ElasticSearch
Integrating RethinkDB with RabbitMQ
Understanding the RethinkDB protocol
Third-party libraries and tools
Summary
8
Full Stack Development with RethinkDB
Full Stack Development with RethinkDB
Project structure
Data modeling for our application
Creating a Node.js server and routes
Integrating RethinkDB with Node.js
Integrating AngularJS in the frontend
Socket.io integration for message broadcasting
Summary
9
Polyglot Persistence Using RethinkDB
Polyglot Persistence Using RethinkDB
Introducing Polyglot Persistence
Using the RethinkDB changefeed as a Polyglot agent
Developing a proof-of-concept application with MongoDB and MySQL
Developing the Polyglot agent
Developing event consumers
Running the app
Further improvements
Summary
10
Using RethinkDB and Horizon
Using RethinkDB and Horizon
Workings of Horizon
Installing and configuring Horizon
Developing a simple web application using Horizon
Horizon user management
Summary

Securing our RethinkDB cluster

In order to create a cluster, we need to allow the incoming connections from other machines. Hence, we added bind=all in our configuration. That meant literally any machine from the Internet can attempt a connection to our server which is prone to Distributed Denial of Service (DDOS) attack.

To protect the RethinkDB cluster, the best thing to do is to use put the entire RethinkDB machine into one protected network by using a firewall to prevent any such connection. However, this is not optimal and possible for every infrastructure for budget or maintenance reasons.

We can protect RethinkDB in the following ways:

  • Using transport layer security (successor of SSL)

  • Binding the web port

Let's look over each of them in detail.

Using transport layer security

RethinkDB allows us to secure our connection between servers or between clients and servers using TLS encryption. You can either generate TLS certificates by self-signing with the host or buy a certificate from an official...

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