About this project

Rfx - the framework for Reactive Big Data Processing

Why Rfx is awesome ?

You can write a Reactive-SQL and get pushed data results from REST API Server via WebSocket

E.g: SUBSCRIBE * FROM News WHERE category in [‘big data’, ‘marketing’,’mobile’,‘real-time’] ORDER BY FacebookLikeCount

Key philosophy “readily responsive to a stimulus”, aka: readily responsive to {data, context, relationship}. The data, the user and the context store as ONE entity. So we could do mining, analytic, search and recommend information faster in real-time.

the implementation: adapting Reactive Lambda Architecture

Theory

[Actor Theory of Distributed Computation] http://arxiv.org/pdf/1008.1459.pdf
Reactive Programming, http://www.reactivemanifesto.org
Reactive Streams, http://www.reactive-streams.org
Nanoservices http://www.infoq.com/news/2014/05/nano-services, http://www.infoq.com/news/2014/05/microservices-usage-size

Log Server

https://github.com/mc2ads/rfx-s2-http-server

Message Queue

http://kafka.apache.org/documentation.html

Backend

Distributed processing with http://akka.io
Speed layer query using In-Memory NoSQL Redis http://redis.io
Batch layer using Hadoop and SQL query engine http://phoenix.apache.org
Networking Netty http://netty.io and http://vertx.io

Frontend

HTML5 + jQuery, http://sigmajs.org http://d3js.org http://nvd3.org
https://angularjs.org

Documents

http://www.mc2ads.com/p/rfx-for-big-data-developer.html

Wiki

rfx / Home