Google Summer of Code | Week 5

gsoc and systers logos

This week — June 11 to June 17— was the fourth week of the coding period of Google Summer of Code (GSoC) with Systers Open Source. If you want to know more about this you can read the introduction to my journey , my latest weekly blog posts or my weekly status report for this week.

Reviewing database model design

I started the week with questions regarding the data model and the logic behind the mentorship feature. So in a 1:1 meeting with Dilushi I tried to clarify these doubts. One thing Dilushi taught me this week was that when designing systems, with similar features to existing systems, we can take a look at them and learn from them since these have already passed through the thought process for the feature we’re analyzing. This reminds me of a saying, that most of the times we don’t have to reinvent the wheel. Also, this helps us designing a good database model, which is important since future feature development will depend on this. From this meeting, we observed that a mentorship relation request is similar to a friendship/connection request on Facebook/LinkedIn, although it has its differences.

I started implementing a part of the API and data model, related to the mentorship relation feature. In a POST request body data for a mentorship request, I was expecting the IDs of the mentor and mentee, as well of the sender and receiver of the request. My mentors had already advised me that having both sender and receiver user ID, might not be necessary. In the 1:1 meeting, we found a blog post that presented “Facebook Style Friend Request System Database Design”, which helped me understand we only needed one field to know who was the sender and the receiver. This field would represent just the sender, the one user that took the action to send a request. Because mentor and mentee ID have to be the same as the sender and receiver of the request, we could infer the receiver just by knowing the sender user.

After this meeting I started researching about database design and normalization, to optimize the data model scheme. I was refreshing my memory from what I learned before in database course in college. So I found a Udacity online course to help me understand more about this topic. I watched some videos that I found relevant from the “Database Systems Concepts & Design” online course.

Another resource I found very helpful was a video called “How to do Database Normalization” on YouTube. This really helped me understand about the trade-off of flexibility and performance of normalization of database models, and when this normalization is needed or not. I started to see some potential areas for normalization in our current data model. So I was ready to discuss this in the project weekly.

Importance of having a MVP

In the project weekly, I was about to discuss some potential areas for improvements and doubts about some features when my mentor Murad thought me another lesson. I was trying to a very good data model and the complex features already established and to be implemented. Murad showed me that for a first-time project it’s important to have first an minimum viable product (MVP), and then improve upon receiving feedback from the community and its users. This also refers to an Agile development methodology, that I’m still learning and adjusting to. We’ll develop product deliverables, with minimum features that can be used by our target users, and then improve this in every development sprint. This led us to simplify a lot of the features, in a way that would not compromise the database design already defined and knowing that this could be later improved (e.g.: with database migrations). These simplifications helped me set realistic goals for the Mentorship System development during GSoC.

Some of the simplified features are:

Completed tasks

I dedicated this week to implement the API for mentorship relation feature, regarding sending a mentorship request between two users and listing all of these requests. I submitted PR #47. In this PR I fixed the Mentorship data model, did tests for the new API and fixed other tests.

Plans for next week

I plan to finish the mentorship relation feature API. This includes the following:

Lessons learned