Spring Boot | How to publish String messages on Apache Kafka

Apache Kafka is a distributed publish–subscribe messaging system that allows applications to send and receive messages between different services. In a Spring Boot application, Kafka can be used to publish string messages to Kafka topics for communication between systems. This helps in building real-time and event-driven applications.

• Spring Boot can send string messages to Kafka topics using a producer.
• Messages are simple strings (sequence of characters) sent for processing.
• Kafka enables communication between different services and applications.

Steps to Implement Spring Boot Kafka String Producer

Step 1: Create Spring Boot Project

Go to Spring Initializr and create a new project.

• Project: Maven
• Language: Java
• Dependencies: Spring Web, Spring for Apache Kafka

Download the project and import it into your IDE.

Step 2: Configure Kafka in application.properties

Open application.properties and add the Kafka server configuration.

spring.kafka.bootstrap-servers=localhost:9092

This connects the Spring Boot application to the Kafka broker.

Step 3: Create Kafka Configuration Class

Create a configuration class KafkaConfig.java to configure KafkaTemplate.

This class enables sending messages to Kafka topics

Step 4: Create Kafka Producer (Publish String Message)

Create a controller class KafkaProducerController.java to send messages to a Kafka topic.

Step 5: Start Kafka Services

Start the required Kafka services:

1. Start Zookeeper Server
2. Start Kafka Server

Step 6: Create Kafka Topic

For Mac / Linux:

bin/kafka-topics.sh --create --zookeeper localhost:2181 --replication-factor 1 --partitions 1 --topic message-topic

For Windows:

.\bin\windows\kafka-topics.bat --create --zookeeper localhost:2181 --replication-factor 1 --partitions 1 --topic message-topic

Step 7: Run Spring Boot Application

• Start the main Spring Boot class.
• Send a request to publish the message.

Step 8: Verify Output

• The string message will be published to the Kafka topic.
• Consumers subscribed to the topic will receive the message.

• Calling the API: 👁 Image
  
• Checking the message in real time: 👁 Image