Скачать или смотреть python kafka example github

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Apache Kafka is a distributed streaming platform that allows you to build real-time data pipelines and streaming applications. In this tutorial, we will explore how to use Kafka with Python using the confluent_kafka library. Additionally, we'll provide a simple example on GitHub to help you get started quickly.
Before you begin, make sure you have the following installed:
Apache Kafka: Follow the official Apache Kafka Quickstart guide to set up a Kafka broker.
Python: Ensure you have Python installed on your machine. You can download it from python.org.
Confluent Kafka Library: Install the confluent_kafka library using pip:
Let's create a GitHub repository to host our example code:
Create a new repository on GitHub.
Clone the repository to your local machine:
Create a virtual environment (optional but recommended):
Create a requirements.txt file with the following content:
Install dependencies:
Let's create a simple Python Kafka producer script. Create a file named producer.py in your project directory:
Make sure to replace 'your_bootstrap_servers' with the actual Kafka bootstrap servers.
Now, let's create a Python Kafka consumer script. Create a file named consumer.py in your project directory:
Make sure to replace 'your_bootstrap_servers' with the actual Kafka bootstrap servers.
Start your Kafka broker.
Run the Kafka producer script:
Open a new terminal and run the Kafka consumer script:
You should see the consumer printing the received message from the producer.
Commit and push your changes to the GitHub repository:
Now, your Python Kafka example is available on GitHub for reference and collaboration.
Feel free to customize and expand upon this example based on your specific use case. Happy coding!
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