Book Image

Mastering RethinkDB

By : Shaikh
Book Image

Mastering RethinkDB

By: 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
Shaikh
Dec, 2016 | 330 pages
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Table of Contents (11 chapters)
Preface
Preface
What this book covers
What you need for this book
Who this book is for
Conventions
Reader feedback
Customer support
Free Chapter
1
1. The RethinkDB Architecture and Data Model
1. 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
2. RethinkDB Query Language
2. 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
3. Data Exploration Using RethinkDB
3. Data Exploration Using RethinkDB
Generating mock data
Executing data exploration use cases
Summary
4
4. Performance Tuning in RethinkDB
4. 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
5. Administration and Troubleshooting Tasks in RethinkDB
5. 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
6. RethinkDB Deployment
6. RethinkDB Deployment
Deploying RethinkDB using PaaS services
Deploying RethinkDB using Docker
Deploying RethinkDB on a standalone server
Summary
7
7. Extending RethinkDB
7. Extending RethinkDB
Integrating RethinkDB with ElasticSearch
Integrating RethinkDB with RabbitMQ
Understanding the RethinkDB protocol
Third-party libraries and tools
Summary
8
8. Full Stack Development with RethinkDB
8. 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
9. Polyglot Persistence Using RethinkDB
9. 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
10. Using RethinkDB and Horizon
10. Using RethinkDB and Horizon
Workings of Horizon
Installing and configuring Horizon
Developing a simple web application using Horizon
Horizon user management
Summary

Developing a proof-of-concept application with MongoDB and MySQL

Till now, we have learned about Polyglot Persistence and why RethinkDB is best suited for it. It's time to get to work and prove that this kind of system can be implemented with RethinkDB. In this section, we are going to develop an application that will use three databases, RethinkDB, MySQL, and MongoDB, where RethinkDB will act as an entry database.

We will develop an application where you can perform the CRUD operation in RethinkDB and all changed data will be synchronized automatically to MySQL and MongoDB.

Consider the following diagram:

As you can see in the preceding diagram, the server will first perform the data manipulation in RethinkDB and by using the changefeed we will notify and update MongoDB and MySQL.

Before moving ahead to the code part, let's do some quick data modeling for all three databases. We are going to store personal data related to the users. Here is the simple data model schema for RethinkDB:

{ 
 ...
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