This is a very basic example of how to use Test Driven Development (TDD) in the context of PySpark, Spark's Python API.

1. Use brew to install Apache Spark: brew install apache-spark
2. Change logging settings:

• cd /usr/local/Cellar/apache-spark/2.1.0/libexec/conf
• cp log4j.properties.template log4j.properties
• Set info to error: log4j.rootCategory=ERROR, console

3. Add this to your bash profile: export SPARK_HOME="/usr/local/Cellar/apache-spark/2.1.0/libexec/"
4. Use nosetests to run the test: nosetests -vs test_clustering.py

• Apache Spark Spark 2.1.0
• Python Python 3.5
• nosetests nose 1.3.7

See LICENSE for details. Copyright (c) 2017 Dat Tran.