Construct a Kafka Consumer Just like we did with the producer, you need to specify bootstrap servers. The property auto.commit.interval.ms specifies the frequency in milliseconds that the consumer offsets are auto-committed to Kafka. apache-kafka Tutorial - Consumer Groups and Offset Management It will also require deserializers to transform the message keys and values. As of Kafka 0.9, . Consumer • Alpakka Kafka Documentation Kafka consumer of service A will be removed from the consumer group if the retry take too long. Consumer: docker exec -it kafka kafka-console-consumer.sh --bootstrap-server kafka:9092 --topic test-topic --from-beginning ( To check if Kafka is configured correctly) Run springboot application. When an application consumes messages from Kafka, it uses a Kafka consumer. Kafka consumer has processed the messages 1, 2, 3, 4 and the enable.auto.commit is set to false. Modified 3 years, 7 months ago. Optimizing Kafka consumers - Strimzi If you configure enable.auto.commit=true, then every five seconds the consumer will commit the largest offset your client received from poll (). This is a common scenario we might encounter when using Kafka. Drop json in producer console: For a simple data transformation service, "processed" means, simply, that a message has come in and been transformed and then produced back to Kafka. Can you explain this stuff in details. Before entering the consume loop, you'll typically use the Subscribe method to specify which topics should be fetched from: It will also require deserializers to transform the message keys and values. Auto commit is enabled out of the box and by default commits every five seconds. . The five-second interval is the default and is controlled by setting auto.commit.interval.ms. By default, the .NET Consumer will commit offsets automatically. Kafka Tutorial: Creating a Kafka Consumer in Java - Cloudurable Chapter 4. Kafka Consumers: Reading Data from Kafka KafkaConsumer — kafka-python 2.0.2-dev documentation Committing offsets periodically during a batch allows the consumer to recover from group rebalancing, stale metadata and other issues before it has completed the entire batch.