I am trying to compare the speed hit for storing data in JSON and then just calling get_json_object to turn it into data that Spark can handle whenever the data is needed, as opposed to ingesting the data with the schema attached and removing the JSON element.
Has anyone analyzed the runtime of these two plans to deal with data?