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A lock-free, high-concurrency task broker for Python, powered by Rust.

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Pyroxide

A lock-free, high-concurrency background task broker for Python, powered by Rust.

Rust Python License: MIT/Apache-2.0/Coffee

See Examples · Report Bug · Request Feature


Pyroxide is a high-concurrency, lock-free background task broker designed to bridge Python and Rust. It allows CPU-bound or blocking workloads to bypass the Python Global Interpreter Lock (GIL) with minimal memory overhead and zero CPU-sleep polling.

With Pyroxide, you can seamlessly offload tasks from Python to a background native OS thread pool. Tasks block natively on the OS kernel level using signaling primitives (Condvar) rather than CPU-burning sleep loops, allowing Python to yield control instantly.

Key Features

  • Bypass the Python GIL: Explicitly release the Python GIL via PyO3 thread-detaching, running heavy computations concurrently on native OS threads.
  • Zero-Overhead Status Tracking: Avoids global lock contention using an atomic-state (AtomicU8) task tracking structure per task slot under a concurrent sharded/read-lock Slab architecture.
  • Instant Condvar Signaling: Replaces latency-inducing polling loops (time.sleep) with native Rust Condvar waking, waking waiting Python threads in microseconds with 0% CPU consumption.
  • Dynamic Task Execution: Seamlessly offloads dynamic Python callbacks (running inside temporary attached-GIL scopes) or executes native Rust functions completely GIL-free.
  • Configurable Concurrency: Set worker thread pool size dynamically at startup via environment variables.
  • Panic Safety: Wrapped task execution prevents Rust worker panics from crashing the host Python interpreter, gracefully marking tasks as Failed instead.
  • Zero-Copy Byte Buffers: Easily pass byte arrays, memoryviews, and columnar buffers (e.g., Apache Arrow) across the C-ABI without copy overhead.
  • Full Type-Hinting: Exposes advanced typing generic @overload signatures, offering full autocomplete support for modern IDEs.

Installation

From PyPI (Recommended)

pip install pyro3

Build and Install locally

Ensure you have Rust, Python (3.8+), and maturin installed. Compile and install the C-extension into your active virtual environment:

# Clone the repository
git clone https://github.com/emivvvvv/pyroxide.git
cd pyroxide

# Compile and install editable build using maturin
pip install maturin
maturin develop

Performance & Validation

We benchmarked Pyroxide against a baseline Python-based task queue using standard thread-polling loops (time.sleep(0.01)) and lock-guarded queues, isolated using a 1ms simulated execution payload to highlight broker overhead:

1. Latency (Single-Threaded Sequential Wait)

Tasks Baseline (10ms Polling Loop) Pyroxide (Condvar + Lock-Free) Latency Reduction
10 Tasks 1.0180s 0.0002s (0.2ms) ~5,000x faster
50 Tasks 3.5289s 0.0008s (0.8ms) ~4,400x faster
Avg. Latency 70.58ms 0.02ms (20µs) 3,500x less overhead

2. Multi-Threaded Throughput (40 Concurrent Submissions)

Threads Baseline (Lock Contention) Pyroxide (Lock-Free) Speedup
2 Threads 10.1848s 0.0032s (3.2ms) 3,180x faster
4 Threads 5.1193s 0.0013s (1.3ms) 3,930x faster
8 Threads 2.5624s 0.0015s (1.5ms) 1,700x faster

3. Automated Test Suite (Pytest)

A senior developer can inspect and run our comprehensive, production-grade automated verification suite under the tests/ directory:

# Install pytest and run the suite
pip install pytest
pytest -v tests/

The test suite covers:

  • True Concurrency (GIL Bypass): Verifies that 4 concurrent native tasks running on 4 background worker threads execute in parallel in a single task duration (~100ms instead of ~400ms), proving the Python GIL is successfully released during processing.
  • Main Thread Responsiveness: Asserts that long-running native background execution does not block or latency-contend the main Python thread.
  • Panic Safety & Recovery: Verifies that Rust worker panics are caught gracefully, marking the task status as Failed and throwing a Python RuntimeError on result retrieval without crashing the interpreter or leaking worker thread health.
  • Deterministic Slab Memory Eviction: Validates that Slab task allocations are cleanly deallocated immediately via explicit consumption (consume=True) or automatically via garbage collection destructor bindings (__del__ GC eviction) when a TaskHandle is deleted.
  • High Churn Stress Testing: Runs a concurrent ThreadPoolExecutor stress test submitting 1,600 tasks across multiple client threads to verify zero lock contentions or memory leaks under heavy thread churn.

Configuration

Pyroxide can be configured via environment variables before the engine initializes:

  • PYROXIDE_WORKERS: Sets the number of background worker threads in the pool. Defaults to the number of CPU cores (available_parallelism).
export PYROXIDE_WORKERS=4
python my_app.py

Quick Start

1. Offloading Python Callables (Default)

By default, @task runs the decorated Python function in the background pool.

from pyroxide import task

@task
def calculate_square(x: int) -> int:
    # Runs on background OS threads in the Rust pool
    return x * x

# Submit and get a handle immediately
handle = calculate_square(12)
print(f"Task status: {handle.status}")

# Blocks natively (0% CPU) until complete, then returns result
# Automatically evicts the task from the Rust Slab once retrieved (consume=True)
result = handle.result()
print(f"Result: {result}") # Output: 144

2. Offloading Native Rust Tasks (GIL-Free)

To completely bypass the Python GIL and run logic natively in Rust:

from pyroxide import task

# Passes the string to Rust which processes it completely GIL-free
@task(native=True)
def native_uppercase(payload: str) -> None:
    pass

handle = native_uppercase("hello pyroxide")
result = handle.result()
print(f"Result: {result}") # Output: b"HELLO PYROXIDE"

3. Graceful Memory Reclamation & Retaining Results

By default, result() consumes and evicts the task. If you want to keep the task in the Slab (e.g. to check status or result again later), set consume=False. It will be automatically cleaned up later via the Python garbage collector when the handle reference is deleted:

import gc
from pyroxide import task
from pyroxide._pyroxide import get_slab_size

handle = calculate_square(10)
print(get_slab_size()) # Output: 1

# Retrieve result but retain task in the Slab
result = handle.result(consume=False)

# Deleting the Python TaskHandle reference forces GC eviction in the Rust Slab
del handle
gc.collect()

print(get_slab_size()) # Output: 0 (No memory leaked)

Contributing

Contributions are welcome! If you'd like to improve Pyroxide or add support for additional features, feel free to open an issue or submit a pull request on GitHub.

License

Pyroxide is licensed under any of:

at your option.

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