Kafka Consumer using Python & Concept of Offset-Commit

[@ryantedder5987]

Thanks a lot bhai. Finally, I am super comfortable with Consumer Offeset. Keep up the good work 👏👏

[@KnowledgeAmplifier1]

Glad to hear that Ryan Tedder! You can explore more about Kafka in-depth using Python from this playlist --th-cam.com/play/PLjfRmoYoxpNrs0VmIq6mOTqXP52RfZdRf.html&feature=shares Happy Learning

[@arkodaysen261]

Thanks a lot..This kafka-python playlist is really awesome.😀😀😀

[@KnowledgeAmplifier1]

Glad to hear that Arkoday Sen! Happy Learning

[@dharmmaurya-n7c]

if suppose from sender sending only hello world 100 time then to identify ,and from where start offset commit ????

[@ayocs2]

nothing is printing can you help?
in cli it's working but not in python code

[@KnowledgeAmplifier1]

If you are facing issues with consuming messages from a Kafka topic using a Kafka consumer in Python, here are a few things you can check:
Verify the Kafka connection: Ensure that your Python code is able to connect to the Kafka broker. Check if you have provided the correct Kafka broker address and port in your code.
Check the consumer configuration: Make sure you have set the consumer configuration correctly, including the group ID, auto offset reset, and any other necessary properties. Verify that the consumer configuration matches the Kafka topic and settings you intend to consume from.
Confirm the topic exists: Ensure that the Kafka topic you are trying to consume from actually exists. You can check this by using the Kafka CLI to list the available topics and see if the desired topic is present.
Check the consumer subscription: Verify that your consumer is subscribed to the correct topic. Double-check that you have correctly specified the topic name.
Handle errors and exceptions: Wrap your consumer code in a try-catch block to catch any exceptions that might occur during the consumption process. This will help you identify and handle any potential errors or issues.
Verify the message format: Ensure that the messages in the Kafka topic are in a format that your consumer can handle. If the messages are serialized or encoded in a specific format, make sure your consumer is configured to deserialize or decode them accordingly.
Check for message availability: Verify that there are messages available in the Kafka topic you are consuming from. It's possible that the topic is empty or doesn't have any new messages to consume. You can use the Kafka CLI to check the topic's message count or produce new messages to test the consumer.
By reviewing these points, you should be able to identify the potential cause of the issue and troubleshoot it accordingly.