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Apache Kafka & Stream Processing Fundamentals · Lesson

Consuming Messages from Kafka

Learn to build consumers that read and process data streams from Kafka topics, handling offsets and consumer groups.

What are Kafka Consumers?

Kafka Consumers are applications that read data from Kafka topics. They subscribe to one or more topics and process the messages as they arrive.

  • Consumers are the 'listeners' in your Kafka ecosystem.
  • They pull data from Kafka brokers, rather than having data pushed to them.
  • Essential for building real-time data pipelines and analytics systems.

Working with Consumer Groups

Consumers often work together in a consumer group. This is a collection of consumer instances that share a common group.id.

  • Scalability: Messages from a topic's partitions are distributed among consumers in the same group, allowing parallel processing.
  • Fault Tolerance: If a consumer instance fails, its assigned partitions are automatically reassigned to other active consumers in the group.
  • Each message in a partition is delivered to only one consumer within a group.

All lessons in this course

  1. Producing Messages to Kafka
  2. Consuming Messages from Kafka
  3. Understanding Partitions & Offsets
  4. Message Keys and Partitioning Strategies
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