Consumer Group Management
Understand how consumer groups enable parallel processing and fault tolerance, ensuring messages are processed only once per group.
What are Consumer Groups?
Welcome! Today, we'll explore Consumer Groups in Kafka. These are a core concept for scaling message consumption and ensuring fault tolerance.
Think of a consumer group as a team of consumers working together to process messages from one or more topics. Each message from a topic's partitions is delivered to only one consumer within that specific group.
Scaling & Fault Tolerance
Consumer groups solve two major challenges:
- Scaling: By distributing partitions across multiple consumers, you can process messages much faster, increasing your application's throughput.
- Fault Tolerance: If a consumer fails or leaves the group, Kafka automatically reassigns its partitions to other active consumers in the same group. This ensures continuous message processing.
Ultimately, a message is processed exactly once per consumer group, even with multiple consumers.