It runs on a small embedded device that can stream zip archives many times larger then the disk or system ram without any issue.
Example Python Falcon Proof of Concept:
https://gist.github.com/kylemanna/1e22bbf31b7e5ae84bbdfa32c6...
Other then what Python's zipfile buffers in memory, my implementation shouldn't use much more then a os.pipe()'s buffer (typically 64kB?).
I need to open a very large CSV file in Python, which is around 25GB in .zip format. Any idea how to do this in a streaming way, i.e. stopping after reading the first few thousand rows?
Replace the `file_paths` list in my proof of concept with your large file(s), delete the rest (lines 61-68, 77-79) and it should just work.
import io, csv, zipfile
max_lines = 10
with zipfile.ZipFile("data.zip") as z:
for info in z.infolist():
with z.open(info.filename) as f:
reader = csv.reader(io.TextIOWrapper(f))
for i_line, line in enumerate(reader):
if i_line >= max_lines: break
print(line)