I’ve been writing about Test-Driven Development in Databricks and some of the interesting issues that you can run into with Python objects. It’s always been my opinion that code that is not testable is detestable. Admittedly, its been very difficult getting to where I wanted to be with Databricks and TDD. Unfortunately, it’s hard to […]
Posts Tagged ‘Test Driven Development’
Understanding the role of Py4J in Databricks
I mentioned that my attempt to implement TDD with Databricks was not totally successful. Setting up the local environment was not a problem and getting a service id for CI/CD component was more of an administrative than a technical problem. Using mocks to test python objects that are serialized to Spark is actually the issue. […]
Test Driven Development with Databricks
I don’t like testing Databricks notebooks and that’s a problem. I like Databricks. I like Test Driven Development. Not in an evangelical; 100% code coverage or fail kind of way. I just find that a reasonable amount of code coverage gives me a reasonable amount of confidence. Databricks has documentation for unit testing. I tried […]