streamz-zmq 0.1.1

ZeroMQ integration for streamz - high-performance streaming data processing

streamz-zmq

ZeroMQ integration for streamz - enabling high-performance streaming data processing with distributed messaging.

Features

• ZMQ Source (from_zmq): Receive data streams from ZeroMQ publishers
• ZMQ Sink (to_zmq): Send processed data to ZeroMQ sockets
• Async Support: Built with asyncio for high-performance streaming
• Multiple Patterns: Support for PUB/SUB, PUSH/PULL, and other ZMQ patterns
• Seamless Integration: Extends streamz with familiar API patterns

Installation

pip install streamz-zmq

Or with uv:

uv add streamz-zmq

Quick Start

Receiving data from ZMQ (Source)

from streamz import Stream
import streamz_zmq  # Register the ZMQ extensions

# Create a stream that receives from a ZMQ publisher
source = Stream.from_zmq("tcp://localhost:5555")
source.sink(print)  # Print received messages

# Start the stream
source.start()

Sending data to ZMQ (Sink)

from streamz import Stream
import streamz_zmq  # Register the ZMQ extensions

# Create a stream and send results to ZMQ
source = Stream.from_iterable([1, 2, 3, 4, 5])
source.map(lambda x: x * 2).to_zmq("tcp://*:5556")

# Start the stream
source.start()

Complete Example: Pipeline with ZMQ

import asyncio
from streamz import Stream
import streamz_zmq

async def main():
    # Receive from one ZMQ socket, process, send to another
    source = Stream.from_zmq("tcp://localhost:5555")
    
    processed = (source
                .map(lambda x: x.decode('utf-8'))  # Decode bytes
                .map(str.upper)                    # Process data
                .map(str.encode))                  # Encode back to bytes
    
    processed.to_zmq("tcp://*:5556")
    
    # Start processing
    await source.start()

if __name__ == "__main__":
    asyncio.run(main())

Examples

Check out the examples/ directory for demonstrations:

• simple_example.py: Basic example showing ZMQ publisher thread + streamz subscriber
• comprehensive_example.py: Advanced demonstration showing multiple ZMQ patterns:
  • PUB/SUB: Publisher broadcasts weather updates to topic-specific subscribers
  • PUSH/PULL: Load balancing work distribution across multiple workers
  • Pipeline: Multi-stage data processing pipeline

Run the simple example:

uv run python examples/simple_example.py

Run the comprehensive example:

uv run python examples/comprehensive_example.py

API Reference

Stream.from_zmq(connect_str, sock_type=zmq.SUB, subscribe=b"")

Creates a stream source that receives messages from a ZMQ socket.

Parameters:

• connect_str (str): ZMQ connection string (e.g., "tcp://localhost:5555")
• sock_type (int, optional): ZMQ socket type. Defaults to zmq.SUB
• subscribe (bytes, optional): Subscription topic for SUB sockets. Defaults to b"" (all messages)

stream.to_zmq(connect_str, sock_type=zmq.PUSH)

Sends stream elements to a ZMQ socket.

Parameters:

• connect_str (str): ZMQ connection string (e.g., "tcp://*:5556")
• sock_type (int, optional): ZMQ socket type. Defaults to zmq.PUSH

ZMQ Patterns Supported

• PUB/SUB: Publisher broadcasts to multiple subscribers
• PUSH/PULL: Load balancing across workers
• REQ/REP: Request-response (less common for streaming)

Requirements

• Python 3.10+
• streamz >= 0.6.4
• pyzmq >= 27.0.0

Development

# Clone the repository
git clone https://github.com/izzet/streamz-zmq.git
cd streamz-zmq

# Install with uv (uses uv.lock for reproducible builds)
uv sync --dev

# Set up pre-commit hooks (recommended)
uv run pre-commit install

# Run tests
uv run pytest

# Format code
uv run ruff format .

# Check linting
uv run ruff check .

# Build package
uv build

Note: This project uses uv.lock for reproducible dependency management. The lock file is committed to ensure all developers and CI/CD use identical dependency versions.

Pre-commit hooks: The project includes pre-commit hooks that automatically format code, check linting, and run tests before each commit to maintain code quality.

License

MIT License. See LICENSE file for details.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.