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Learn how to implement a `batch listener` in Spring Boot for processing multiple Kafka messages at once. Simplify your code and enhance message handling efficiency!
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This video is based on the question https://stackoverflow.com/q/68347888/ asked by the user 'Trayambak Kumar' ( https://stackoverflow.com/u/15351612/ ) and on the answer https://stackoverflow.com/a/68350260/ provided by the user 'Gary Russell' ( https://stackoverflow.com/u/1240763/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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How to Convert a Dynamic Kafka Listener to a Batch Listener in Spring Boot

In the world of real-time data processing, handling messages efficiently is crucial. If you are using Apache Kafka with Spring Boot and have implemented a dynamic message listener, you might have encountered the need to convert this to a batch listener. A batch listener allows you to process multiple messages at once, thereby improving performance and resource utilization.

The Problem

You may currently have a setup similar to this with your dynamic message listener:

[[See Video to Reveal this Text or Code Snippet]]

While this setup is effective for single messages, it doesn't leverage the benefits of batch processing. That leads us to the question: How can you modify this listener to consume a list of consumer records?

The Solution

Switching from a dynamic listener to a batch listener can be accomplished by implementing the BatchAcknowledgingConsumerAwareMessageListener interface. This change allows your application to handle a batch of incoming Kafka messages.

Step-by-Step Implementation

Change the Listener Implementation
Replace your existing implementation with one that utilizes the BatchAcknowledgingConsumerAwareMessageListener interface:

[[See Video to Reveal this Text or Code Snippet]]

Why Use BatchAcknowledgingConsumerAwareMessageListener?

Efficiency: By processing multiple records at once, you reduce the number of individual acknowledgments and increase throughput.

Resource Management: Batch processing can lead to lower overall resource consumption, as you can optimize how you handle the data received.

Simplified Logic: Moving to a batch listener often leads to simpler control flow within your message handling logic.

Summary

By modifying your Spring Boot application to utilize BatchAcknowledgingConsumerAwareMessageListener, you can efficiently process batches of messages from Kafka, resulting in cleaner code and improved performance. This transition is not just about handling messages but also about enhancing how your application interacts with Apache Kafka.

Next time you find yourself in this scenario, refer back to this guide for a clear path to implementing a batch listener.