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Real-time analysis and visualization with Storm-AMQ-Camel-Websockets-Highcharts integration.

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Real-time analysis and Viz with Storm-Camel-Highcharts


You might also be interested in checking out extension of this repo for Twitter sentiment of states of US using D3.js Choropleth Map and Highcharts Columncharts on StormTweetsSentimentD3Viz and also a similar project for UK Twitter Sentiment on StormTweetsSentimentD3UKViz.

Introduction

This repository contains an application for demonstrating Apache Storm distributed framework by counting the names of the companies fed randomly by the code [in the Spout] in real-time.
This project also visualizes the output in real-time using Queues, Websockets and Highcharts.

Apache Storm is an open source distributed real-time computation system, developed at BackType by Nathan Marz and team. It has been open sourced by Twitter [post BackType acquisition] in August, 2011. And became a top level project in Apache on 29th September, 2014.
This application has been developed and tested with Storm v0.8.2 on Windows 7 in local mode; and was eventually updated and tested with Storm v0.9.3 on 04th January, 2015. Application may or may not work with earlier or later versions than Storm v0.9.3.

The initial version of this application was actually forked and later updated further from Robin van Breukelen's storm-camel-example project.

Features

  • Application receives a random company name from a Spout every 200 milliseconds.
  • Bolt counts frequency of the each company name passed on from the Spout.
  • This frequency is written to ActiveMQ using a JMSBolt.
  • Camel is used to read these tuples from ActiveMQ and also write to a WebSocket.
  • A pure HTML5 front-end reads from the above Websocket and visualizes the output in a Bar chart using Highcharts and updates the chart in real-time to reflect the latest count provided by the Bolt.
  • This project has also been made compatible with both Eclipse IDE and IntelliJ IDEA.
    • Import the project in your favorite IDE and you can quickly follow the code.
  • As of today, this codebase has almost no or very less comments.

Demo

GIF of visualization

Screenshot of visualization

Dependencies

  • Storm v0.9.3
  • Camel v2.14.1
  • ActiveMQ v5.10.0
  • Spring v4.1.3.RELEASE
  • xbean v4.1

Also, please check pom.xml for complete information on the various dependencies of the project.

Requirements

You need the following on your machine:

  • Oracle JDK >= 1.8.x
  • Apache Maven >= 3.2.3
  • Clone this repo and import as an existing Maven project to either Eclipse IDE or IntelliJ IDEA.
    • Please enable / download Maven Plugin in the IDE.

Usage

To build and run this topology, you must use Java 1.8.

Local Mode:

Local mode can also be run on Windows environment using either IntelliJ IDEA or Eclipse IDE.
Note: Please be sure to clean your temp folder as it adds lot of temporary files in every run.

  • Launch your favorite IDE and execute Runner.java.
  • All the required frameworks and libraries are downloaded by Maven as required in the above import process in the IDE.
    • If not, please execute mvn clean compile command once at the root of this repo.
  • Launch a browser [preferably Google Chrome] and open index.html
    • Click on "Start Viz" button to trigger the initialization.
    • You can stop the visualization at any time by clicking on "Stop Viz" button.
  • This chart updates every second and displays real-time visualization of the words processed by the Bolts.

Remote Mode:

TBA.

Problems

If you find any issues, please report them either raising an issue here on Github or alert me on my Twitter handle @P7h. Or even better, please send a pull request.
Appreciate your help. Thanks!

License

Copyright © 2013-2015 Robin van Breukelen and Prashanth Babu.
Licensed under the Apache License, Version 2.0.

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