Hi Radu, ok, good to know that it’s a bug.
Thanks for the suggestions, I’ll keep them in mind in case I run into the same problem elsewhere. For our use case, I switched to a different approach using Extract Data Table to grab the row numbers for all field names into a dictionary with a single pass through the whole table and then use that to look up all the fields, which is faster for us on average anyways.