Documentation Index
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📜 Kafka Consumer Python Script 📜
This script demonstrates how to consume messages from a Kafka topic using the Confluent Kafka Python client. It connects to a Kafka broker, subscribes to a topic, and processes incoming messages.Script Overview
Configuration
Kafka Broker Address
bootstrap_servers: The address of your Kafka broker (e.g.,'kafka.example.in:9092').
Kafka Topic
topic: The Kafka topic you want to consume from (e.g.,'web_logs_topic').
Consumer Configuration
group.id: The ID for the consumer group. Consumers with the same group ID share the messages.auto.offset.reset: Defines where to start consuming messages if no previous offset is found.'earliest'starts from the beginning.
Handling Messages
Polling Messages
consumer.poll(1.0): Polls for messages with a timeout of 1 second.msg: The fetched message object.
Error Handling
msg.error(): Checks for errors in the message.KafkaError._PARTITION_EOF: Indicates end-of-partition. Continue to the next partition.- Other Errors: Print the error message and stop processing.
Message Processing
msg.value().decode('utf-8'): Decodes the message value from bytes to a UTF-8 string.
Graceful Shutdown
Keyboard Interrupt
KeyboardInterrupt: Handles interruption (e.g., pressingCtrl+C).
Finally Block
consumer.close(): Ensures the consumer is properly closed when the script ends.
Running the Script
-
Install Dependencies: Make sure you have
confluent-kafkainstalled. -
Run the Script: Execute the script with Python.
This documentation provides a complete overview of the Kafka consumer script, including its configuration, functionality, and error handling. It helps in managing and processing Kafka messages efficiently.
