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Redis and MongoDB Analytics for Express
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Analytics in Angular - Express - Redis - MongoDB Application

This application showcase the Analytics module works in an Angular - Express - Redis - MongoDB - based application. This application used the Angular Seed as the basis for original template. You'll need node.js, Redis and MongoDB installed for this program.

Installing the application


  1. Install node.js
  2. Install redis
  3. Install MongoDB
  4. Install the global nodejs tools needed using npm:
    1. bower: tools to manage client-side JavaScript libraries
    2. mocha: testing framework
    3. jshint: code style checker
$ sudo npm install -g bower
$ sudo npm install -g mocha
$ sudo npm install -g jshint

Use git to clone the application, then use npm and bower to install the dependency:

$ git clone

$ cd analytics

$ npm install

$ bower install

Running the app

Runs like a typical express app:

$ node app.js

Running tests

We use mocha as testing framework, with should as the assertion library and supertest to test the web server.

$ mocha --reporter spec


$ npm test

Code style guide: use jshint

$ jshint [filename.js]

Directory Layout

app.js              --> app config
package.json        --> for npm
lib/                --> libraries
  transientAnalytics.js     --> short-term transient analytics data in Redis
  persistentAnaltics.js     --> long-term time-series analytics data in MongoDB
models/             --> Mongoose models
  total.js          --> Total analytics object
  totalMinute.js    --> Time-series analytics object
public/             --> all of the files to be used in on the client side
  css/              --> css files
    app.css         --> default stylesheet
  img/              --> image files
  js/               --> javascript files
    app.js          --> declare top-level app module
    controllers.js  --> application controllers
    directives.js   --> custom angular directives
    filters.js      --> custom angular filters
    services.js     --> custom angular services
    lib/            --> angular and 3rd party JavaScript libraries
        angular.js            --> the latest angular js
        angular.min.js        --> the latest minified angular js
        angular-*.js          --> angular add-on modules
        version.txt           --> version number
  index.js          --> route for serving HTML pages and partials
  api.js            --> route for serving API
  socket.js         --> route for connections
test/               --> test scripts
  index.jade        --> main page for app
  layout.jade       --> doctype, title, head boilerplate
  partials/         --> angular view partials (partial jade templates)

Development Notes

  1. The current assumption is the analytics module would be embedded within the main application and using the same database configuration as the main application, but it should also be possible to run as a separate application from the main application and have a javascript library that would be injected to the html output of the main application similar to google analytics.
  2. Currently the real-time data is stored in redis database. Redis database is also used to generate real-time reports that's emitted to the dashboard through a's room connection. Differrent data types and their combinations are stored as redis counters, with the most detailed data combination consisted of the site, page, ip address and the time (in seconds). The data type includes data derived from user agent information such as the browser, version, operating system and platform.
  3. Longer termed data is stored in MongoDB using 2 data collections, totals and totalminutes, to represent the total accumulated data and the time-series in minute respectively. This data is updated from the redis database every 10 seconds (configurable).
  4. There's several methods of data display method in the code, using angular.js in the client-side:
    1. The ordinary connection from the seed template for displaying the clock in view1.
    2. A pub-sub pattern using's room for dashboard display, pushing the real-time data from redis database in dashboard page.
    3. Implementation of the GET (Read) part of REST API interface sending JSON time-series data from MongoDB, used in total page.
  5. TODO: the code to remove old data from redis, the ones that is no longer needed for displaying real-time data.
  6. TODO: somekind of benchmark tool, so we could determine the best database design to be used.
  7. TODO: a system to extend the types of data collected and a function to process the data and calculate things like new visitors or the user's usage pattern.
  8. TODO: more integration with tools such as bower and grunt.
  9. TODO: the UI
    1. TODO: better architecture
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