Unit testing in dbt – from an experiment to an open-source framework
In the following article, I want to share our journey to introduce the concept of unit testing in the framework dbt. There were a couple of existing efforts in the community but none as we envisioned – writing unit tests in SQL with a fast-feedback loop so that we can even use it for tdd.
Fellow colleague Pedro Sousa and I have published a couple of articles about our journey – we described our first experiment and shared our second and polished approach. After the blogs, a couple of teams at Equal Experts started to use our strategy and give us feedback.
As mentioned in one of the articles, we always thought dbt should have support for unit tests. We asked dbt’s team about the roadmap to support unit tests and we found it unlikely that it was going to happen. Also, they think it makes more sense as an external framework. Personally, it doesn’t make much sense to me, one can argue that if we look at programming languages, we are used to having the testing capabilities as external libraries, but dbt is not a programming language and it already supports other types of tests.
After a couple of conversations with the other teams, we were encouraged to use our work to create the dbt-unit-testing framework under the Equal Experts Github.
We released the framework three months ago, and since then we’ve started to have traction on our Github. Currently, we have 47 stars and 45 closed pull requests, and we have approximately 120 unique visitors per 14 days. The best outcome is having people collaborating with us, giving feedback, creating issues and developing pull requests. We already have four community contributors and we are proud to say that we appreciate all the work and the effort – @halvorlu, @darist, @charleslr and @gnilrets.
Community collaboration and feedback are crucial to improve the framework and prioritise what should be done. We have a couple of ideas in the backlog, such as adding support for more data sources, but we don’t yet have a clear roadmap. We prefer to listen to the feedback and work based on that. Continuous improvement through continuous user feedback perfectly describes our mindset.
This post shares our journey, mindset and appreciation for the open-source community engagement in such small projects.
You can check the framework here: https://github.com/EqualExperts/dbt-unit-testing
Contributing to tech communities is very much part of our mission at Equal Experts.