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The Kafka Consumer API

Explore how to efficiently read and process Kafka messages using the Kafka Consumer API. Understand key concepts like subscribing to topics, polling for messages, committing offsets, and how consumer groups work. Gain hands-on experience with configuration and partition assignment strategies to optimize Kafka consumer performance.

Introduction to Kafka consumers

Kafka consumers are responsible for reading data from one or more Kafka topics and processing it in some way. The process of consuming data from Kafka can be broken down into several distinct steps:

  1. Subscribing to topics

  2. Polling for messages

  3. Processing messages

  4. Committing offsets

Kafka Consumer high-level workflow
Kafka Consumer high-level workflow

Subscribing to topics

The first step in consuming data from Kafka is to subscribe to one or more Kafka topics. This is typically done by creating a consumer instance and specifying the names of the topics to subscribe to. The consumer then sends a request to one of the Kafka brokers to join the corresponding consumer group and start receiving messages from the subscribed topics.

Polling for messages

Once the consumer ...