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

Further improvements

There are two key improvements which you can do:

  • Integrating the message broker

  • Developing a distributed transaction

Let's discuss each one in brief.

Integrating the message broker

For now, we are using the EventEmitter class of Node.js to emit and receive events. You can hook advanced message brokers such as RabbitMQ or Apache Kafka. All you need to do is, instead of emitting the event in the Polyglot class, just push the changes in the message broker.

At the consumer end, any program can read it and use it for their use. This way, there will be high cohesion and less tight coupling.

If you are going to do it using RabbitMQ then we have already covered the integration part in Chapter 7, Extending RethinkDB.

Moving right along to the next improvement.

Developing a distributed transaction

For now, we are not using any transaction in between the databases to perform the CRUD operation. Since our databases can be SQL, NoSQL, key-value, graph-based, and so on, and not all databases...

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