You need to process large CSV files in Foundry without loading the entire file into memory. Which approach should you adopt using the FileSystem API?

Streaming large CSV files using the FileSystem API is an efficient approach to handle data without the risk of exhausting system memory, which can happen when attempting to load large files completely. By utilizing the FileSystem.open() method to establish a streaming connection to the file, you can process it incrementally, line by line. This not only reduces memory usage but also enables the handling of potentially very large files that cannot be accommodated in memory as a whole.

With this method, as each line is read, it can be processed immediately, making it suitable for scenarios where data needs to be parsed, transformed, or filtered in real time. This approach is particularly advantageous when working with big data, as it allows for scalability and efficient resource utilization.

The other options involve methods that either load the entire file into memory or handle data in less efficient ways, increasing the risk of performance issues and memory overflow. Buffering the entire content into a temporary file, reading the full file into a string, or seeking through file data would not align with the need to process very large files effectively and would defeat the purpose of utilizing streaming capabilities provided by the FileSystem API.