pyuring 0.1.2

Python bindings for io_uring with dynamic buffer size adjustment

pyuring

Code: github.com/kangtegong/pyuring

Linux only. Python loads liburingwrap.so through ctypes. That library links liburing and uses the kernel io_uring interface. The package exposes file copy and bulk-write entry points, read/write operations on open file descriptors, and optional Python callbacks used by the native code when dynamic buffer sizing is enabled. The Python API does not cover all of liburing; additional logic resides in csrc/.

Layout: pyuring/ — Python package; csrc/ — sources for liburingwrap.so; Makefile — builds that shared object; third_party/liburing — optional vendored liburing tree; examples/ — benchmark scripts and test_dynamic_buffer.py.

Needs: Linux (docs assume kernel 5.15+), Python 3.8+, and a working toolchain plus liburing headers when you build from source.

Install

pip install pyuring

From git (submodule for liburing if you use it):

git clone --recursive https://github.com/kangtegong/pyuring.git
cd pyuring
pip install -e .

Debian/Ubuntu: liburing-dev. Fedora/RHEL: liburing-devel. Arch: liburing. If installation fails, see INSTALLATION.md.

API reference (overview)

The package loads native code from liburingwrap.so. Operations that fail in the C layer raise UringError (RuntimeError subclass); error strings typically include a negated errno.

Exports. Public symbols are available from the package root (from pyuring import copy, UringCtx, …). The namespace object pyuring.direct exposes the same callables and types as attributes. pyuring.raw is a backward-compatible alias of pyuring.direct.

Complete parameter lists, defaults, and per-method tables: USAGE.md.

Orchestrated helpers

These functions select queue depth and block size from mode ("safe" | "fast" | "auto") before invoking the native implementation. Keyword-only arguments not shown below are listed in USAGE.md.

Name	Signature (summary)	Return value
copy	copy(src_path, dst_path, *, mode="auto", qd=32, block_size=1<<20, fsync=False, buffer_size_cb=None)	int — bytes copied.
write	write(dst_path, *, total_mb, mode="auto", qd=256, block_size=4096, fsync=False, dsync=False, buffer_size_cb=None)	int — bytes written.
write_many	write_many(dir_path, *, nfiles, mb_per_file, mode="auto", qd=256, block_size=4096, fsync_end=False)	int — total bytes written across files.

Behavior. For mode="auto", copy and write use the dynamic-buffer native entry points (copy_path_dynamic, write_newfile_dynamic) with a built-in adaptive buffer_size_cb unless the caller supplies one. write_many always calls write_manyfiles; mode only adjusts qd and block_size presets.

Native pipeline functions

These functions map directly to the shared library. They are importable at package level and as attributes of pyuring.direct / pyuring.raw.

Name	Signature (summary)	Return value
copy_path	copy_path(src_path, dst_path, *, qd=32, block_size=1<<20)	int
copy_path_dynamic	copy_path_dynamic(src_path, dst_path, *, qd=32, block_size=1<<20, buffer_size_cb=None, fsync=False)	int
write_newfile	write_newfile(dst_path, *, total_mb, block_size=4096, qd=256, fsync=False, dsync=False)	int
write_newfile_dynamic	write_newfile_dynamic(dst_path, *, total_mb, block_size=4096, qd=256, fsync=False, dsync=False, buffer_size_cb=None)	int
write_manyfiles	write_manyfiles(dir_path, *, nfiles, mb_per_file, block_size=4096, qd=256, fsync_end=False)	int

Path arguments are str. Optional buffer_size_cb callbacks receive (current_offset, total_bytes, default_block_size) and return an int buffer size where documented in USAGE.md.

Classes

class UringCtx

• Construction: UringCtx(lib_path=None, entries=64) — loads lib_path, or resolves liburingwrap.so automatically when lib_path is None.
• Synchronous I/O: read, write, read_batch, read_offsets (see USAGE.md for arguments and return types).
• Asynchronous I/O: read_async, write_async, read_async_ptr, write_async_ptr; completion polling via wait_completion, peek_completion; submission via submit, submit_and_wait.
• Resource management: close(); supports with statement.

class BufferPool

• Construction: class method BufferPool.create(initial_count=8, initial_size=4096).
• Instance methods: resize, get, get_ptr, set_size, close; context manager supported.

class UringError

• Base: RuntimeError. Raised when native entry points report failure.

Other documentation

• Installation and build: INSTALLATION.md
• Benchmarks: examples/BENCHMARKS.md

Quick examples

import pyuring as iou

iou.copy("/tmp/source.dat", "/tmp/dest.dat")
iou.write("/tmp/new.dat", total_mb=100)
iou.write_many("/tmp/out", nfiles=10, mb_per_file=100)

Lower-level, same symbols as top-level imports:

import pyuring as iou

iou.direct.copy_path("/tmp/a.dat", "/tmp/b.dat", qd=32, block_size=1 << 20)

with iou.direct.UringCtx(entries=64) as ctx:
    ...

Tests

After a local build:

make && python3 examples/test_dynamic_buffer.py

If you installed from PyPI and want to run those scripts from a checkout, run them from a directory that does not put the repo root on PYTHONPATH first—otherwise import pyuring can pick up the tree without a built .so and fail.

pip install pyuring was also verified in Docker (privileged, liburing development packages installed) on Ubuntu 22.04, Debian bookworm, and Fedora 40. Example scripts were run from a directory layout where import pyuring resolves to the installed package (not an unbuilt source tree on PYTHONPATH). test_dynamic_buffer.py completed successfully on all three.

Benchmark vs plain os read/write

examples/bench_async_vs_sync.py measures wall-clock time for two implementations of the same workload (chunked read/write over the same files). One implementation uses os.open, os.write, and os.read in a synchronous loop. The other uses UringCtx and BufferPool with io_uring submission and completion. This benchmark does not compare against asyncio or aiofiles.

With --no-odirect, I/O goes through the page cache (see script: O_DIRECT is disabled). The chart below reports total elapsed time (write phase plus read phase) for 8 files × 2 MiB, mean of three runs, in the Docker environments listed on the axes:

xychart-beta
    title "Total time — pyuring vs sync os read/write (same script)"
    x-axis ["Ubuntu 22.04", "Debian 12", "Fedora 40"]
    y-axis "× faster" 1.2 --> 1.32
    bar [1.25, 1.29, 1.24]

Throughput and speedup depend on CPU, storage, and kernel. To reproduce:

python3 examples/bench_async_vs_sync.py --num-files 8 --file-size-mb 2 --no-odirect --repeats 3