sonyflake-turbo 0.1.0

A Sonyflake implementation optimized for extreme usages.

A SonyFlake ID generator tailored for high-volume ID generation.

Installation

pip install sonyflake-turbo

Usage

Easy mode:

from sonyflake_turbo import SonyFlake

sf = SonyFlake(0x1337, 0xCAFE)

for _, id_ in zip(range(10), sf):
    print(f"{id_:016x}")

Turbo mode:

from datetime import datetime, timezone
from random import sample
from timeit import timeit

from sonyflake_turbo import SONYFLAKE_MACHINE_ID_MAX, SonyFlake

epoch = datetime(2025, 6, 5, tzinfo=timezone.utc)

for count in [32, 16, 8, 4, 2, 1]:
    machine_ids = sample(range(SONYFLAKE_MACHINE_ID_MAX + 1), count)
    sf = SonyFlake(*machine_ids, start_time=int(epoch.timestamp()))
    t = timeit(lambda: [next(sf) for _ in range(1000)], number=1000)
    print(f"Speed: 1M ids / {t:.2f}sec with {count} machine IDs")

Important Notes

SonyFlake algorithm produces IDs at rate 256 IDs per 10msec per 1 Machine ID. One obvious way to increase the throughput is to use multiple generators with different Machine IDs. This library provides a way to do exactly that by passing multiple Machine IDs to the constructor of the SonyFlake class. Generated IDs are non-repeating and are always increasing. But be careful! You should be conscious about assigning Machine IDs to different processes and/or machines to avoid collisions. This library does not come with any Machine ID management features, so it’s up to you to figure this out.

This library has limited free-threaded mode support. It won’t crash, but you won’t get much performance gain from multithreaded usage. Consider creating generators per thread instead of sharing them across multiple threads.

Development

Install:

python3 -m venv env
. env/bin/activate
pip install -e .[test]

Run tests:

py.test

Building wheels:

pip install cibuildwheel
cibuildwheel