Kafka Consumers in a Group

The video tutorial explains how Kafka consumer groups work, including setting up a consumer group, demonstrating message distribution among consumers, handling consumer failures, and reading messages from the beginning with a new group. It provides a live demonstration of these concepts, showing how messages are split among consumers and how the system rebalances when a consumer fails.

What is the purpose of specifying a group ID when using the Kafka console consumer?

Explain how messages are distributed among consumers in the same group.

What is the significance of partitions in Kafka consumer groups?

What happens to message consumption when a consumer in a group goes down?

Describe the effect of using the 'from beginning' option with a new group ID.

How does Kafka handle offsets for different consumer groups?

How can you verify that a consumer is reading messages correctly?