My goal for this week is to get my hands a dirty with databases. I have managed for the most part to avoid them entirely, and RC is a great place to dive into things I’ve been avoiding.
I was really happy when during checkins, Liz mentioned that she had a yelp dataset that she wanted to work with, in database form. This meant I wouldn’t have to set up PostgreSQL alone! I find getting set up with new frameworks pretty frustrating. I don’t usually have a mental model of the thing I am setting up, so it’s very hard to understand why things go wrong, as they inevitably do. I really appreciate having an expert on hand to field questions, or a partner to wade through the configuration quagmire with me.
Our task for today: Get PostgreSQL and SQLAlchemy set up, and convert a bunch of JSON data into a format usable in SQLAlchemy. The second task, is way harder than it seems. Cleaning up data is always annoying. It requires more time than you think it should, and it’s absolutely necessary. But converting objects to relational data is a whole different ballgame. It requires rethinking the data model, not surface cleaning.
Things I learned:
- (From Yaron Minsky’s talk this evening). Distributed systems are cool! Another thing to add to my list of ‘things I want to learn more about… later.’ Note to self: Bring pen and paper to talks so I can draw diagrams.
- I still find pair programming way more exhausting than coding on my own - explaining all of my thoughts takes energy. But I’m starting to find it easier.
- This paper looks like a good introduction to the way relational databases think different from object-oriented databases. Hope to read it tomorrow.
- The docs and tutorials for SQLAlchemy were much easier to read through after having spent some time playing around with a database and engine. Learning-by-poking-around and learning-by-reading-about-the-system-as-a-whole feed off each other quite well. I definitely need to do both.