README.md

pyrkakfa: Python Wrapper for rdfkafka (Rust)

Python Library for Apache Kafka and RDF Data Processing

pyrkafka is a Python wrapper around the rdfkafka library, which is written in Rust. It simplifies the integration with Apache Kafka for processing RDF (Resource Description Framework) data. pyrkafka provides a high-level Pythonic API for producing and consuming RDF messages, supporting various serialization formats such as JSON, Avro, and Protobuf. With pyrkafka, you can efficiently and scalably process RDF data in your Python applications, leveraging the performance and safety of Rust.

Key Features of pyrkafka

• Pythonic Interface to rdfkafka: pyrkafka provides a Pythonic interface to the rdfkafka Rust library, making it easy to integrate Apache Kafka with Python applications.
• High-Level API for RDF Messages: pyrkafka offers a high-level API for producing and consuming RDF messages in Python.
• Support for Various Serialization Formats: pyrkafka supports various serialization formats, including JSON, Avro, and Protobuf.
• Efficient RDF Data Processing: pyrkafka enables efficient and scalable processing of RDF data, leveraging the performance of Rust.

Installation

You can install pyrkakfa using pip:

pip install pyrkakfa

Getting Started with pyrkafka

Sending Messages to Kafka with pyrkafka

Here's a simple example of how to send a message to a Kafka topic using pyrkafka:

from pyrkakfa import KafkaProducer

# Initialize a producer
producer = KafkaProducer(bootstrap_servers='localhost:9092')

# Specify the topic
topic = 'my_topic'

# Create a message
message = 'Hello, Kafka!'

# Send the message
producer.send(topic, message.encode())

Consuming Messages from Kafka with pyrkafka

Here's how to consume messages from a Kafka topic using pyrkafka:

from pyrkakfa import KafkaConsumer

# Initialize a consumer
consumer = KafkaConsumer(bootstrap_servers='localhost:9092')

# Specify the topic
topic = 'my_topic'

# Subscribe to the topic
consumer.subscribe(topic)

# Listen for messages
for message in consumer:
    print(message.value.decode())