shutil.copyfile vs Manual Copy Lab

Intro — what this post promises

Copying file bytes on disk: is shutil.copyfile faster than a manual open + read/write loop (or Path.read_bytes / write_bytes)? This lab measures MB/s on Linux localhost temp files — not another pathlib-vs-os.path join lab (that is already published).

Related links:

• 01shoppercove.compathlib vs os.path localhost lab
• 02shoppercove.comsendfile vs userspace copy localhost lab
• 03shoppercove.combytes vs bytearray localhost lab
• 04shoppercove.comstr translate vs replace localhost lab
• 05shoppercove.comsetdefault vs defaultdict localhost lab
• 06shoppercove.comcopy vs deepcopy localhost lab
• 07shoppercove.comjson dumps compact vs indent localhost lab
• 08shoppercove.comperf_counter vs time localhost lab

Lab honesty (1 Oct 2026 IST): Python 3.13.5. Same filesystem tempdir. Affiliates: 0. copyfile copies data only; copy2 also copies metadata.

Verdict up front: 1 MiB — copyfile ~1823 MB/s vs manual 64 KiB chunks ~1542 (~1.18×) vs Path read/write ~1557. 8 MiB — copyfile ~1346 vs read-all ~879 (~1.53×); chunked manual stayed close. Prefer shutil.copyfile (or copy2 when you need mtime/mode); avoid slurping large files into RAM.

Arms

Sizes: 4 KiB / 64 KiB / 1 MiB / 8 MiB with repeated copies.

Lab topology

tempfile dir on local Linux disk
metric: p50 MB/s and copies/s

Script: lab-evidence/74-shutil-copyfile-vs-manual/results/run_lab.py.

Lead table — throughput (p50 MB/s)

Small-file copies/s (4 KiB)

Tiny files are dominated by open/unlink overhead — manual can look “faster” in a tight loop.

Reading it

• MiB-class payloads — copyfile edged chunked manual by ~1.18× here (C helper, fewer Python trips).
• Don’t read() entire large files — at 8 MiB readall trailed copyfile by ~1.53×.
• copy2 costs metadata on small files; on larger buffered copies it can still win on this box (cache/FS noise — treat as “same league”).
• Path convenience ≈ manual readall/chunk for mid sizes — fine for scripts, not a speedup.

Why not pathlib join again?

Lab 47 already covered Path vs os.path for join/exists/stat. This lab answers a different question: how you move bytes once you have two paths.

copyfile vs copy2 in one line

Need only bytes? copyfile. Need the destination to look like the source in ls -l timestamps/mode? copy2. Do not invent a third wrapper that stats and chmods by hand unless you are filtering metadata on purpose.

Pitfalls

1. Hand-rolling copies “for control” without chunking large files.
2. Using copy2 when you only need bytes — extra syscalls on small files.
3. Benchmarking only 4 KiB — open overhead hides copy algorithm.
4. Cross-filesystem / remote mounts — numbers here are local tempdir.

When to pick what

Reproduce

python3 lab-evidence/74-shutil-copyfile-vs-manual/results/run_lab.py

Evidence: /workspace/lab-evidence/74-shutil-copyfile-vs-manual/results/.

Closing

Use shutil for whole-file copies; chunk if you must DIY. On this box 1 MiB copyfile hit ~1823 MB/s (~1.18× chunked manual), and at 8 MiB it beat full-file readall by ~1.53×. Reach for pathlib when paths are the story — for bytes, copyfile is the default.