The KafkaOperations interface contains the different overloaded versions of the send() method. The KafkaTemplate class is available in org.springframework.kafka.core package and implements the KafkaOperations interface. Let’s start by sending messages. Kafka producer clients may write on the same topic and on the same partiton but this is not a problem to kafka servers. Since there is only one leader broker for that partition, both message will be written to different offsets. From Kafka 0.11, the KafkaProducer supports two additional modes: the idempotent producer and the transactional producer. 3.2. KafkaProducer class provides a flush method to ensure all previously sent messages have been actually completed. (Step-by-step) So if you’re a Spring Kafka beginner, you’ll love this guide. Our KafkaProducer bean defined above is merely a wrapper around the KafkaTemplate class. It's up to the developer what to use. If you look at its source code, you see the following member variable declarations:. Syntax of the flush method is as follows − public void flush() KafkaProducer class provides partitionFor method, which helps in getting the partition metadata for a given topic. Yes, KafkaTemplate is designed to be thread-safe. The idempotent producer strengthens Kafka's delivery semantics from at least once to exactly once delivery. Spring Kafka Consumer Producer Example 10 minute read In this post, you’re going to learn how to create a Spring Kafka Hello World example that uses Spring Boot and Maven. You can see KafkaTemplate provide many additional ways of sending data to Kafka topics because of various send methods while some calls are the same as Kafka API and are simply forwarded from KafkaTemplate to KafkaProducer. This can be used for custom partitioning. You create a new replicated Kafka topic called my-example-topic, then you create a Kafka producer that uses this topic to send records.You will send records with the Kafka producer. Reactor is a highly optimized reactive library for building efficient, non-blocking applications on the JVM based on the Reactive Streams Specification.Reactor based applications can sustain very high throughput message rates and operate with a very low memory footprint, making it suitable for building efficient event-driven applications using the microservices architecture. Let’s get started. Consumer Setup Kafka Tutorial: Writing a Kafka Producer in Java. I’m really excited to announce a major new feature in Apache Kafka v0.10: Kafka’s Streams API.The Streams API, available as a Java library that is part of the official Kafka project, is the easiest way to write mission-critical, real-time applications and microservices with all the benefits of Kafka’s server-side cluster technology. 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