Could you explain the concept of Consumer Group in Apache Kafka and how it affects message processing?

Consumer Group in Apache Kafka is a group of consumers that jointly read messages from topics. Each consumer in the group receives a unique part of the topic's partitions, allowing parallel data processing without duplication.

Impact on message processing:

• Messages from a single partition are delivered to only one consumer in the group, ensuring processing order.
• If a consumer fails, its partitions are redistributed among the remaining consumers.
• It allows scaling processing by increasing the number of consumers in the group.

Example: if a topic has 4 partitions and the group has 2 consumers, each will receive approximately 2 partitions for processing.