Sandeep Pawar wants to save some money:
File this under a test I have been wanting to do for some time. If I am exploring some data in a Fabric notebook using PySpark, can I switch between Python and PySpark engines with minimal code changes in an interactive session? The goal is to use the Python notebook for some exploration or use existing PySpark/SparkSQL or develop the logic in a low compute environment (to save CUs) and scale it in a distributed Spark environment. Understandably, there will be limitations with this approach given the difference in environments, configs etc., but can it be done?
Read on for the answer, as well as plenty of notes around it.