Intercepting Kafka Poll Requests with Spring AOP

Discover how to log response times and message counts in Kafka poll requests using `Spring AOP` with an effective solution involving `DefaultKafkaConsumerFactory`
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This video is based on the question https://stackoverflow.com/q/65830090/ asked by the user 'Alessio Seghetti' ( https://stackoverflow.com/u/15052779/ ) and on the answer https://stackoverflow.com/a/65835904/ provided by the user 'Artem Bilan' ( https://stackoverflow.com/u/2756547/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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Intercepting Kafka Poll Requests with Spring AOP

In the world of microservices and distributed systems, Apache Kafka has established itself as a crucial component for handling real-time data processing. One common requirement among developers is the need to intercept Kafka poll requests to log information such as response times and available message counts. If you are using Spring Boot with Kafka, you might have run into some challenges while trying to implement this functionality using Spring AOP. This guide aims to provide a clear and cohesive solution to intercept Kafka poll requests effectively.

Understanding the Challenge

As a developer using @ KafkaListener to consume messages in Kafka, you may want to not only process messages but also monitor the performance of your Kafka consumers. This includes logging critical metrics like:

Response times: How long it takes to get a response from Kafka.

Available message counts: The number of messages that are ready for processing at any given moment.

Unfortunately, simply using Spring AOP around the Kafka listener may not provide the necessary access to the poll requests directly since they are handled internally by the Kafka library.

The Solution: Customizing the DefaultKafkaConsumerFactory

To properly intercept Kafka poll requests, you can extend DefaultKafkaConsumerFactory and create a custom consumer that wraps the default consumer with your AOP proxy. Below is a step-by-step guide on how to achieve this.

Step 1: Extend DefaultKafkaConsumerFactory

Create a custom class that extends DefaultKafkaConsumerFactory:

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Step 2: Implement MethodInterceptor

Next, you'll need to implement a MethodInterceptor to wrap the poll(Duration) method call of the Kafka consumer. This will allow you to log the necessary metrics.

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Step 3: Register the Custom Consumer Factory

Finally, ensure to register your CustomKafkaConsumerFactory in your Spring configuration. This enables the application to utilize your customized consumer with interceptors whenever a new consumer is created.

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Conclusion

By extending the DefaultKafkaConsumerFactory and implementing a MethodInterceptor, you can effectively intercept Kafka poll requests in your Spring application. This allows you to log valuable metrics such as response times and available message counts, enabling you to monitor and optimize your Kafka consumers effectively.

If you encounter any challenges or have any questions while implementing this solution, feel free to leave a comment below! Happy coding!

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