One thing that has always impressed me with websites is how they present you with the most important information when you login. This could be a deadline, some updates from other users, or just general announcements.

Some of the sites I use at work and on a personal level are perfect examples, GitHub and Basecamp.

But how is this technically feasible? Sure, you are probably thinking just gather all the data you need and loop through it. Right? No, I will explain why. I didn’t understand this for the longest time, and I hope to help solve any your questions about using them.

With Garrett and Larry both having many comments, messages and connections, we already have the data we need.

Problem is we need to sort them accordingly (by date) and keep all associations tied. It is harder than it sounds.

In this case we have 3 datasets, some comments, some messages and some connections. If we were to put all 3 collections in a list in order of when we gather them, they will be out of order. What we need to do is make one collection that references any type of data we need to list out. What makes this useful is we can also track other information that is helpful to users and not possible if we loop through the actual data. That is what a Polymorphic Association is.

Within the Feed model we need to keep track of the model it will reference, the actual reference to the specific item within that model, and any other information you would like to have. I like to keep track of it’s action, as well as the user who performed that action.

How would this look like in the database?

For this example I will use Ruby to try to show you how easy it is to display a dashboard like interface for your users.

Within the view you can loop and render a custom template for each item, this will give you the desired look that simulates the dashboard feel.

I am going to leave this here, you can create the views however you want. I have this repo stored on GitHub so you can clone it and mess with it however you like. I have uploaded a demo on Heroku for you to see as well.