Which data types cannot be parsed into separate columns with the JSON Parse tool?

The JSON Parse tool in Alteryx is designed to convert JSON data into a tabular format, breaking it down into separate columns based on the structure of the JSON. The tool primarily works with data types that are inherently part of the JSON format, which includes commonly used types such as integers, booleans, and datetime values.

File Path data types, however, are not directly structured as JSON objects. Instead, they represent a string format that typically indicates the location of a file in the file system. While a file path may contain characters and formatting that a JSON string can parse, it is not a standard data type that JSON inherently understands or manages in the same way as integers, booleans, or date and time values. As such, the JSON Parse tool does not parse file paths into separate columns since they do not conform to JSON's key-value pair structure, which is essential for this functionality.

Therefore, understanding the nature of file paths in contrast to other primitive data types that align with JSON’s capabilities explains why file paths cannot be parsed effectively into separate columns using the JSON Parse tool.