Spark Programming in Python for Beginners with Apache Spark 3 - Unit Testing Spark Application

This video tutorial covers unit testing in a simple Spark application. It begins with an introduction to unit testing and proceeds to create test cases for two functions: loading data into a DataFrame and applying business rules. The tutorial explains setting up a Spark session for testing, implementing test cases using Python's unit test framework, and validating results by converting DataFrames to Python dictionaries. The video concludes with running the tests and confirming their success.

How does the author handle the cleanup process after running the tests?

What approach is taken to validate the results of the second unit test case?

What were the outcomes of the tests run in the video, and what does it imply about the implementation?