So is single-threaded dbutils.fs significantly different from standard Python

f = open('path/newfile.txt','w')
f.write(str_variable)
f.close()

This actually works just fine and took 15s, marginal increase in memory usage. Text file ends up being 8.3GB. Surprising dbutils.fs isn't comparable

I did try using text df. Problem is the string will be in a single row, writes to single row, read back into df in single row (even with newlines I've inserted to create single line JSON). Reason I've been using put then spark.read.json is to convert the text to single line JSON df. I'd be happy going straight from large str >> single line JSON df without the write-text, read-JSON operation but don't know how to do that directly