Ignite The Fire In Your Apache Kafka Using Spring Boot

We all can’t ignore the fact that Apache Kafka is considered to be the most popular open-source stream-processing software, which is used for collecting, processing, storing, and analyzing huge amounts of data. To make Apache Kafka more powerful for your organization, people started using Spring Boot along with it. Kafka dependency on Spring Boot allows you to create and consume methods to Kafka using multiple classes. Spring Boot handles most of our configuration automatically, so you can focus on creating listeners and sending messages. It also helps you to modify the default setup using application properties. In this article, we’ll cover Spring Boot support for Kafka and help you unlock its full potential with a step-to-step guide.

Setting Up The Spring Boot Application

Setting up a Spring Boot application is quite complicated, but for your ease, we have put together a step-by-step guide for the same. It will help you to know how to ignite the fire in your Apache Kafka with the help of the Spring Boot application so that you can start getting the most out of it.

Step 1: Generate A Project

Step 2: Publishing/Reading Messages From The Kafka Topic

Step 3: Set Up Kafka Via The Application Configuration File

Step 4: Construct The Kafka Producer

Step 5: Construct The Kafka Consumer

Step 6: Create A REST Controller

Step 1: Generate A Project

Create spring boot application with the following dependencies with the help of spring initializr:

• Apache Kafka Support
• Spring Web Support

You’ll have a very simple structure once you’ve generated the project. Although many people use Intellij IDEA, you may use whatever Java IDE you wish to.

Step 2: Publishing/Reading Messages From The Kafka Topic

To follow this step, create a basic Java class to publish or read messages from a Kafka topic.

Step 3: Set Up Kafka Via The Application Configuration File 

The configuration file should then be created and the Kafka upgrade version can be installed using the application.yml configuration file. To be able to publish and read messages to and from the Kafka topic, we need to configure our Kafka producer and consumer in some way. We may utilize either application properties file or application.yml instead of developing a Java class and annotating it with the @Configuration annotation. Spring Boot enables us to avoid writing boilerplate code in the past and provides us with a much more intelligent approach to setting our application.

Step 4: Construct The Kafka Producer

After following the above steps, KafkaProducer is created which uses KafkaTemplate to send messages to a topic. The primary role of Kafka Producer is to generate messages and publish them to one or more topics in a Kafka cluster.

Step 5: Construct The Kafka Consumer

Just like creating a producer, you need to set up a consumer. You need to specify a group.id that tells which consumer group this consumer belongs to. Following the previous step, you need to subscribe the consumer for the topic you created. After a message related to this topic is released, the Kafka listener notifies the consumer, which then receives the message.

Step 6: Create A REST Controller

If we already have a consumer, we’ve got everything and then there is only a need to create a REST controller that takes a JSON message and sends it to a Kafka topic through Kafka Producer. Then, by logging into the console, our consumers will catch and manage it the way we set it up.

In A Nutshell…

Spring Boot is a framework that speeds up and simplifies the development process, while Apache Kafka is a fault-tolerant, distributed stream processing system. When the two are used together they work wonders in streamlining the process. Though it is quite challenging to integrate Apache Kafka using the Spring Boot application, through this guide we have tried to simplify the integration steps to get the maximum benefits from it. For further assistance in implementing Apache Kafka with Spring Boot or Kafka version up-gradation, you can anytime contact Ksolves. We have years of experience simplifying Apache Kafka with the help of Spring Boot applications for multiple enterprises.

Contact Us for any Query

Email: sales@ksolves.com

Call: +91 8130704295

Read related article –

Top Benefits Of Apache NiFi In Data Management

Integrating Apache NiFi and Apache Kafka