Configure Kafka Producer and Consumer in Spring Boot x2

2 years ago

4 minutes

Credits : https://www.confluent.io/blog/apache-kafka-spring-boot-application/

Step 1: Generate our project

First, let’s go to Spring Initializr to generate our project. Our project will have Spring MVC/web support and Apache Kafka support.

Once you have unzipped the project, you’ll have a very simple structure. I’ll show you how the project will look like at the end of this article so you can easily follow the same structure. I’m going to use Intellij IDEA, but you can use any Java IDE.

Step 2: Publish/read messages from the Kafka topic

Now, you can see what it looks like. Let’s move on to publishing/reading messages from the Kafka topic.

Start by creating a simple Java class, which we will use for our example: package com.demo.models;

public class User {

    private String name;
    private int age;

    public User(String name, int age) {
        this.name = name;
        this.age = age;
    }
}

Step 3: Configure Kafka through `application.yml` configuration file

Next, we need to create the configuration file. We need to somehow configure our Kafka producer and consumer to be able to publish and read messages to and from the topic. Instead of creating a Java class, marking it with @Configuration annotation, we can use either application.properties file or application.yml. Spring Boot allows us to avoid all the boilerplate code we used to write in the past, and provide us with much more intelligent way of configuring our application, like this:

server: port: 9000
spring:
   kafka:
     consumer:
        bootstrap-servers: localhost:9092
        group-id: group_id
        auto-offset-reset: earliest
        key-deserializer: org.apache.kafka.common.serialization.StringDeserializer
        value-deserializer: org.apache.kafka.common.serialization.StringDeserializer
     producer:
        bootstrap-servers: localhost:9092
        key-serializer: org.apache.kafka.common.serialization.StringSerializer
        value-serializer: org.apache.kafka.common.serialization.StringSerializer

If you want to get more about Spring Boot auto-configuration, you can read this short and useful article. For a full list of available configuration properties, you can refer to the official documentation.

Step 4: Create a producer

Creating a producer will write our messages to the topic.

@Service
public class Producer {

    private static final Logger logger = LoggerFactory.getLogger(Producer.class);
    private static final String TOPIC = "users";

    @Autowired
    private KafkaTemplate<String, String> kafkaTemplate;

    public void sendMessage(String message) {
        logger.info(String.format("#### -> Producing message -> %s", message));
        this.kafkaTemplate.send(TOPIC, message);
    }
}

We just auto-wired KafkaTemplate and will use this instance to publish messages to the topic—that’s it for producer!

Step 5: Create a consumer

Consumer is the service that will be responsible for reading messages processing them according to the needs of your own business logic. To set it up, enter the following:

@Service
public class Consumer {

    private final Logger logger = LoggerFactory.getLogger(Producer.class);

    @KafkaListener(topics = "users", groupId = "group_id")
    public void consume(String message) throws IOException {
        logger.info(String.format("#### -> Consumed message -> %s", message));
    }
}

Here, we told our method void consume (String message) to subscribe to the user’s topic and just emit every message to the application log. In your real application, you can handle messages the way your business requires you to.

Step 6: Create a REST controller

If we already have a consumer, then we already have all we need to be able to consume Kafka messages.

To fully show how everything that we created works, we need to create a controller with single endpoint. The message will be published to this endpoint, and then handled by our producer.

Then, our consumer will catch and handle it the way we set it up by logging to the console.

@RestController
@RequestMapping(value = "/kafka")
public class KafkaController {

    private final Producer producer;

    @Autowired
    KafkaController(Producer producer) {
        this.producer = producer;
    }

    @PostMapping(value = "/publish")
    public void sendMessageToKafkaTopic(@RequestParam("message") String message) {
        this.producer.sendMessage(message);
    }
}

Let’s send our message to Kafka using cURL:

curl -X POST -F 'message=test' http://localhost:9000/kafka/publish

Basically, that’s it! In fewer than 10 steps, you learned how easy it is to add Apache Kafka to your Spring Boot project. If you followed this guide, you now know how to integrate Kafka into your Spring Boot project, and you are ready to go with this super tool!

You can find all the code in this article on GitHub.

#java #kafka #springboot