Salesforce-Heroku Sample Application

This repository contains sample code-base for an application to extend the capabilities of Salesforce using Heroku.

This application was demonstrated during Dreamforce 2014 at the session "Add Big Data Analytics to Your Salesforce App Using Heroku "

What does this application do?

This sample application listens to Twitter for tweets with specific hash tags, scores the tweets on a numeric scale of happiness (postiveness) and stores the scored tweets into a MongoDB collection with name tweet.

This repository also contains a Salesforce Visualforce page ContactInterestAnalyzer.vfp, which can be used as a front-end to the data created by this application.

Pre-requisites

1. Java 7 SE Development Kit (Preferably Oracle Java)
2. Maven 3+
3. MongoDB (Preferably as a web service, like Compose.io)
4. Heroku Account
5. Your own Twitter application with

• Consumer key
• Consumer Secret

6. Salesforce.com Developer Account
7. A Salesforce.com Developer Organization

How to use?

• Clone this repository to your local computer

  git clone https://github.com/vivganes/SalesforceHerokuExample.git
  

• Fill in appropriate Twitter Application credentials in src/main/resources/twitter4j.properties

  debug=false
  oauth.consumerKey=
  oauth.consumerSecret=
  oauth.accessToken=
  oauth.accessTokenSecret=
  

• Fill in the list of keywords to be listened and appropriate MongoDB credentials in src/main/resources/app.properties

  listen_keywords=#AcmeInc,#Gainsight
  mongo_hosts=mongohost.example.com
  mongo_ports=10094
  mongo_dbname=mymongodb
  mongo_username=mydbuser
  mongo_pass=mydbpass
  

• Create a Heroku application and deploy this app into it.

• Go to Heroku Apps Dashboard and set worker dyno to size '1' and web dyno size to '1'.

• Copy the contents of the file ContactInterestAnalyzer.page and paste it into a newly created Visualforce Page in your Salesforce Developer organization.

• Add a custom field to with name Twitter_Handle__c to the Contact Salesforce Object.