Spring kafka. 0 or above with 3.

Spring kafka. Use the spring-kafka tag on Stack Overflow to ask questions; include code and configuration and clearly explain your problem, providing an MCRE if possible. io and choose the following dependencies − Spring for Apache Kafka First, we need to add the Spring Kafka dependency in our build configuration file. May 19, 2025 · Provides Spring Kafka support for integrating Apache Kafka with Spring applications. Spring Boot makes it easy to create stand-alone, production-grade Spring-based Applications that you can " just run ". 2. The JsonSerializer allows writing any Java object as a JSON byte[]. 5 is compatible with Kafka Client 3. Feb 19, 2025 · To use Kafka Client 3. 3. All containers created by all When using Spring Boot, a KafkaAdmin bean is automatically registered so you only need the NewTopic (and/or NewTopics) @Bean s. This might be useful if you want to create several containers with similar properties or you wish to use some externally configured factory, such as the one provided by Spring Boot auto-configuration. version property. Add the " Spring for Apache Kafka " dependency to your Spring Boot project. 1 respectively. Learn setup, config, producer/consumer, Kafka Streams & real-world microservices use cases. id properties this way; they will be ignored; use the groupId and clientIdPrefix annotation properties for those. Learn how to use Spring for Apache Kafka to create producers and consumers of Kafka messages. 3, Spring for Apache Kafka provides the ExponentialBackOffWithMaxRetries which is a subclass that receives the maxRetries property and automatically calculates the maxElapsedTime, which is a little more convenient. Get the most out of Apache Kafka and Spring with Confluent Cloud. e. When calling this API, it is simply alerting the Kafka consumer to trigger an enforced rebalance; the actual rebalance will only occur as part of the next poll() operation. When messages are delivered, the converted message payload type is used to determine which method to call. 0-M2 version of Spring for Apache Kafka updated the Kafka client to the recently released version 3. This bean is automatically declared by the framework and manages the containers' lifecycles; it will auto-start any containers that have autoStartup set to true. Maven The KafkaTemplate is part of spring-kafka module that provides the necessary support to interact with Kafka cluster. Key Features and Components of the Example Spring Boot and Spring Kafka Integration This Aug 6, 2025 · While Kafka is inherently designed for asynchronous communication, it can be configured to support synchronous request-reply communication through separate topics. The JsonDeserializer requires an additional Class<?> targetType argument to allow the deserialization of a consumed byte[] to the proper target object. May 21, 2024 · Removed many of the Apache Kafka specific native runtime hints in Spring for Apache Kafka in preference to the same support in graalvm-reachability-metadata. In this tutorial, we’ll build on the previous one and learn how to write reliable, self-contained integration tests that don’t rely on an external Kafka server running. To see more details on how to override the Kafka client versions when using Spring Boot, see this. It allows services to publish and subscribe to streams of records, store them reliably and process them as they arrive. This major version will be built on Kafka Client 4. Nov 2, 2021 · The Spring for Apache Kafka project applies core Spring concepts to the development of Kafka-based messaging solutions. Apache Kafka Streams Support Starting with version 1. However, you can manually wire in those dependencies using the interceptor config() method. Let us delve into understanding how Spring Kafka Micrometer integration helps monitor and trace Kafka-based applications effectively. May 23, 2025 · Step by step guide to integrate Apache Kafka with Spring Boot. In modern Spring Boot applications, integrating Kafka with observability tools like Micrometer enables you to gain visibility into producer and consumer behavior. id and client. The listener container starts the Kafka transaction and the @Transactional annotation starts the DB transaction. The following Spring application events are published by listener containers and their consumers: Using Spring for Apache Kafka This section offers detailed explanations of the various concerns that impact using Spring for Apache Kafka. The Outbound channel adapter is used to publish messages from a Spring Integration channel to Apache Kafka topics. Configure the ABSwitchCluster and add it to the producer and consumer factories, and the KafkaAdmin, by calling setBootstrapServersSupplier(). Oct 7, 2024 · Learn how to configure and implement a Kafka Consumer using Spring in minutes. Spring for Apache Kafka also provides JsonSerializer and JsonDeserializer implementations that are based on the Jackson JSON object mapper. Oct 11, 2023 · Other parts in this blog series Part 1: Introduction to Transactions in Spring Cloud Stream Kafka Applications Part 2: Producer Initiated Transactions in Spring Cloud Stream Kafka Applications Part 3: Synchronizing with External Transaction Managers in Spring Cloud Stream Kafka Applications In the last three sections of this blog series, we analyzed how transactions work in Spring Cloud Stream Here is a trivial Spring Boot application that demonstrates how to use the callback; it sends 10 records to the topic; hitting <Enter> in the console causes all partitions to seek to the beginning. 0, though the framework's compile-time dependency remains Kafka Client 3. The spring-kafka library simplifies this integration by providing easy-to-use APIs and configuration options aligned with Spring’s programming model. 4 is compatible with Kafka Client 3. We want to thank everyone who contributed to these releases. This tutorial covers the integration of Apache Kafka with Spring Framework, exploring how to leverage Kafka's messaging capabilities in your Spring applications. This blog enhances microservices communication by enabling the serialization and deserialization of structured data, making The spring-kafka-test jar contains some useful utilities to assist with testing your applications. In this tutorial, we’ll explore how to implement synchronous request-reply communication in a Spring Boot application using Apache Kafka. You can programmatically invoke the admin’s initialize() method to try again later. Find out the compatibility matrix, features, samples, and support options for this project. kafka » spring-kafka Apache Jul 21, 2025 · Provides Spring Kafka support with tools for building and managing Kafka-based applications. See the Kafka API documentation for information about those objects. 0, Spring for Apache Kafka now supports mapping these headers to and from spring-messaging MessageHeaders. 0 or above with 3. 4, applications must manually upgrade their Kafka Client version. When you want to switch, call primary() or secondary() and call reset() on the producer factory to Apr 15, 2023 · Learn step-by-step how to integrate Kafka in a Spring Boot application with detailed code samples and in-depth explanations to boost your app's performance. We will discuss configurations, implementation steps, and common pitfalls to avoid while working with Kafka. 4 and 3. Learn how to build event-driven applications, how Spring and Kafka work, and how to get started with free courses. When combined with Spring Boot, Kafka becomes a powerful solution for microservices communication, enabling scalability, decoupling and fault tolerance. 8. In this post, you Sep 15, 2025 · Group: SpringFramework Kafka Sort by: Popular 1. springframework. Setting up the Project Integrating Apache Kafka with Spring Boot simplifies event-driven app development using Spring’s abstraction and Kafka’s messaging. By default, if the broker is not available, a message is logged, but the context continues to load. The class needs to be extended and its bindClient() and unbindClient() API have to be called to connect Kafka client metrics with a Micrometer collector. Configurable Handling of Empty Batches in Kafka Listener with RecordFilterStrategy RecordFilterStrategy now supports ignoring empty batches that result from filtering. 2. We provide a “template” as a high-level abstraction for sending messages. Aug 20, 2024 · The 3. Sep 18, 2024 · On behalf of everyone who contributed, we are pleased to announce the availability of Spring for Apache Kafka 3. Commercial support is also available. If you wish to block the sending thread to await the result, you can invoke the future’s get() method; using the method with a timeout is recommended. 4, Spring for Apache Kafka provides first-class support for Kafka Streams. Step 2: Create a Configuration file named KafkaConfig. Configuring Kafka First, download the Spring Boot project from Spring Initializer page www. In addition, this guide explains the Kafka Streams binding capabilities of Spring Cloud Stream. Since 2. If we’re configuring Kafka on Spring for the first time, and want to learn more, we can start with an intro article to Spring and Kafka Apr 10, 2022 · Spring Kafka: Queues & Pub-Sub Implementation Beginners Guide to Spring Kafka Introduction In this quick tutorial, we’ll start by creating the bare minimum set up — just enough to produce and … Mar 11, 2024 · In this tutorial, we'll cover the basic setup for connecting a Spring Boot client to an Apache Kafka broker using SSL authentication. The Spring for Apache Kafka project also provides some assistance by means of the FilteringMessageListenerAdapter class, which can wrap your MessageListener. Nov 4, 2024 · In this post, we’ll integrate Apache Kafka with Spring Boot to create a simple order processing application. If you wish to use a different version of kafka-clients or kafka-streams, and use the embedded kafka broker for testing, you need to override their version used by Spring Boot dependency management; set the kafka. Apache Kafka provides a mechanism to add interceptors to producers and consumers. This class takes an implementation of RecordFilterStrategy in which you implement the filter method to signal that a message is a duplicate and should be discarded. 7. (i. 2, Spring for Apache Kafka provides an option to invoke this API on the Kafka consumer via the message listener container. The following example shows how to Jul 23, 2025 · Example: Prerequisite: Make sure you have installed Apache Kafka in your local machine for which one should know How to Install and Run Apache Kafka on Windows? Step 1: Go to this link and create a Spring Boot project. For convenience, the framework also provides an ABSwitchCluster which supports two sets of bootstrap servers; one of which is active at any time. 9. x will commence in the near future. To use Kafka Client 3. See Examples of Kafka Transactions with Other Transaction Managers for examples of an application that synchronizes JDBC and Kafka transactions in Kafka-first or DB-first configurations. MANUAL_IMMEDIATE, the acknowledgments must be acknowledged in order, because Kafka does not maintain state for each record, only a committed offset for each group/partition. Jun 13, 2023 · The KafkaTemplate follows the typical Spring template programming model for interacting with a Kafka cluster including publishing new messages and receiving the messages from the specified topic. kafka » spring-kafkaSpring Kafka Support Mar 18, 2025 · Spring for Apache Kafka version 3. Jul 23, 2025 · In this article, we'll walk you through the process of integrating Kafka with a Spring Boot application, providing detailed code examples and explanations along the way. Spring Boot Integration Jan 22, 2025 · Development of Spring for Apache Kafka 4. Mar 3, 2010 · For further API reference and developer documentation, see the Spring for Apache Kafka reference documentation. This guide covers setup, configuration, and best practices for consuming Kafka messages with Spring Boot. Jun 17, 2025 · Provides Spring Kafka support for integrating Apache Kafka with Spring applications, enabling messaging and stream processing capabilities. For further API reference and developer documentation, see the Spring for Apache Kafka reference documentation. This article will guide you through integrating a Spring Boot application with an Apache Kafka server Feb 8, 2011 · The Spring for Apache Kafka project applies core Spring concepts to the development of Kafka-based messaging solutions. However, each backend determines the actual baseunit. In addition, more enhancements and bug fixes have been made on throughout the 3. spring. It inherits its features from Spring Beans and adds support for internationalization, event propagation, resource loading, and the transparent creation of contexts. Starting with version 3. We’ll explore the various options available for implementing it on Spring Boot, and learn the best practices for maximizing the reliability and resilience of Kafka Consumer. That documentation contains more detailed, developer-targeted descriptions, with conceptual overviews, definitions of terms, workarounds, and working code examples. Apr 4, 2025 · Apache Kafka is a powerful distributed event streaming platform widely used for building real-time data pipelines and event-driven architectures. Feb 21, 2025 · This blog dives into advanced Kafka configurations with Spring Boot, demonstrating how to send complex messages like JSON objects to Kafka topics. Mar 1, 2010 · On behalf of everyone who contributed, we are pleased to announce the general availability of Spring for Apache Kafka 3. For instructions on overriding Kafka Client versions in Spring Boot, please refer to this guide. Learn how to use Spring for Apache Kafka, a high-performance distributed messaging system, with this reference documentation. Jul 9, 2025 · Spring Context provides access to configured objects like a registry (a context). See code examples for Spring Boot and Java Configuration (no Spring Boot) applications. Sender applications can publish to Apache Kafka by using Spring Integration messages, which are internally converted to Kafka records by the outbound channel Mar 3, 2010 · For further API reference and developer documentation, see the Spring for Apache Kafka reference documentation. Spring Boot streamlines Kafka integration by leveraging the Spring Kafka library, which offers annotations and configurations for Kafka producers, consumers, and listeners. We walk through creating two dummy microservices—User and Notification—setting up Kafka as the message broker, and configuring one service as a producer and the other as a consumer. Nov 21, 2022 · The Spring for Apache Kafka project applies core Spring concepts to the development of Kafka-based messaging solutions. Home » org. The third uses a regex Pattern to select the topics. It contains information about its design, usage, and configuration options, as well as information on how the Stream Cloud Stream concepts map onto Apache Kafka specific constructs. The Throwable can be cast to a KafkaProducerException; its producerRecord property contains the failed record. May 7, 2025 · Explore the monitoring capabilities provided by Spring Kafka using Micrometer and Spring Boot Actuator. Spring for Apache Kafka, also known as spring-kafka. 0 journey. Spring-kafka provides templates as high-level abstractions to send and consume messages asynchronously. It is a microservice-based framework and to make a production-ready application using Spring Boot takes very less time. Spring Kafka Support 810 usages org. 7 an 3. To use it from a Spring application, the kafka-streams jar must be present on classpath. The Spring for Apache Kafka project applies core Spring concepts to the development of Kafka-based messaging solutions. The following Spring Boot application shows how to do this by overriding Spring Achieving non-blocking retry / dlt functionality with Kafka usually requires setting up extra topics and creating and configuring the corresponding listeners. Take a look at the native metrics exposed by Apache Kafka for both producers and consumers, which offer valuable insights into performance, throughput, errors, and latency and those augmented by Spring. 10 have been released and are available from Maven Central. It automates much of the boilerplate Oct 25, 2024 · Learn how to build generic, easily configurable, testable reactive consumers, producers, and DLT with Kotlin, Spring Boot, WebFlux, and Testcontainers. Jan 7, 2025 · Learn to integrate Reactive Kafka Streams with Spring WebFlux to enables fully reactive, scalable, data-intensive pipelines for real-time processing. 1 will be included in the upcoming Spring Boot 3. com Sep 18, 2025 · By integrating Kafka with Spring Boot, developers can build robust and scalable applications for real-time data streaming. In a previous tutorial, we learned how to work with Spring and Kafka. The following example shows how to do so: As of version 2. 4, you can specify Kafka consumer properties directly on the annotation, these will override any properties with the same name configured in the consumer factory. Jan 8, 2024 · Apache Kafka is a powerful, distributed, fault-tolerant stream processing system. For a quick but less detailed introduction, see Quick Tour. 1. 0-M3 and patch GA releases for 3. Manually Committing Offsets Normally, when using AckMode. x. So some of the main features of Spring boot are listed below. Once the container is created, you can further modify its properties, many of which are set by using container. x generation. This tutorial will guide you through setting up Kafka, implementing a producer-consumer model, and seeing how Kafka enables scalable, event-driven communication between services. Jul 18, 2025 · The diagram above illustrates a robust Kafka error-handling architecture that addresses these challenges. <dependency> <groupId>org. These objects are managed by Kafka, not Spring, and so normal Spring dependency injection won’t work for wiring in dependent Spring Beans. Spring Boot, on the other hand, simplifies Java development by providing an opinionated framework with built-in support for Kafka integration. Understanding how to use Spring Kafka is crucial for building scalable, event-driven applications in Java. Jun 18, 2024 · Spring for Apache Kafka 3. By the end, you will understand how to set up Kafka topics, send and consume messages, and This class is a super for the mentioned above MicrometerConsumerListener, MicrometerProducerListener and KafkaStreamsMicrometerListener. It is an optional dependency of the Spring for Apache Kafka project and is not downloaded transitively. Introduction Apache Kafka is a Sep 27, 2025 · Apache Kafka is a distributed streaming platform widely used for real-time data pipelines and streaming applications. 5, applications must manually upgrade their Kafka Client version. Mar 3, 2010 · Learn how to use Spring concepts and annotations to develop Kafka-based messaging solutions with Spring for Apache Kafka. Instead, they are registered with an infrastructure bean of type KafkaListenerEndpointRegistry. x and will be compatible with Spring Boot 4. Apr 22, 2025 · In this step-by-step guide, I’ll walk you through how to connect your Spring Boot application to Kafka, define topics, and set up both producers and consumers to send and receive messages. If . Spring Boot is a framework designed to simplify the development of production-grade Spring applications by providing defaults and auto-configuration, reducing the need for manual setup. 1, the applications need to manually upgrade the Kafka client version. This is the first release that is generally available in the 3. We also provide support for Message-driven POJOs. 0 or later with version 3. Examples of Kafka Transactions with Other Transaction Managers The following Spring Boot application is an example of chaining database and Kafka transactions. 7 Spring for Apache Kafka offers support for that via the @RetryableTopic annotation and RetryTopicConfiguration class to simplify that bootstrapping. However, it can be used for any Kafka client use-cases. Apache Kafka is supported by providing auto-configuration of the spring-kafka project. 0. You cannot specify the group. id property — distributing partitions across the group. Mar 22, 2025 · In this tutorial, we’ll discuss the importance of implementing retry in Kafka. 4. Prometheus uses seconds) Jul 23, 2025 · Spring Boot is one of the most popular and most used frameworks of Java Programming Language. Therefore, as the 3rd party libraries that Spring for Apache Kafka uses evolves to fully support virtual threads, it is recommended to keep the concurrency on the message listener container to be equal to or less than the number of platform threads. 6 an 3. See full list on baeldung. This guide describes the Apache Kafka implementation of the Spring Cloud Stream Binder. The main chapter covers the core classes to develop a Kafka application with Spring. Dec 17, 2024 · To use Kafka client version 3. Previous versions mapped ConsumerRecord and ProducerRecord to spring-messaging Message<?>, where the value property is mapped to and from the payload and other properties (topic, partition, and so on) were mapped to headers. May 16, 2024 · The purpose of the demo app is to configure a basic Kafka producer and consumer that will produce and consume messages from the same topic, using a pre defined avro schema for the message sent Feb 21, 2025 · In this blog, we explore how to configure Kafka with Spring Boot for seamless communication between microservices. It is a project that applies core Spring concepts to Kafka-based messaging solutions. This can be configured through overriding default method ignoreEmptyBatch(), which defaults to false, ensuring KafkaListener is invoked even if all ConsumerRecords are filtered out. xml file. Micrometer internally uses nanoseconds for the baseunit. x, Spring Framework 7. The listener containers created for @KafkaListener annotations are not beans in the application context. It provides a step-by-step guide for setting up a producer-consumer system between the user-service and notification-service. MANUAL or AckMode. kafka</groupId> <artifactId Mar 2, 2010 · On behalf of the team and everyone who contributed, we are pleased to announce that Spring for Apache Kafka 3. The channel is defined in the application context and then wired into the application that sends messages to Apache Kafka. Mar 3, 2010 · When using Spring for Apache Kafka in a Spring Boot application, the Apache Kafka dependency versions are determined by Spring Boot’s dependency management. Kafka serves as a Mar 3, 2010 · The Spring for Apache Kafka project applies core Spring concepts to the development of Kafka-based messaging solutions. Jul 22, 2020 · Learn how to integrate Apache Kafka with Spring Boot for sending and receiving messages efficiently in your applications. 3, applications must manually upgrade their Kafka Client version. Spring for Apache Kafka Reference Using Spring for Apache Kafka Listener Container Properties Starting with version 2. Therefore, Spring for Apache Kafka supports this new consumer group protocol only to the extent of such testing level support available in the kafka-client itself. Aug 11, 2021 · Apache Kafka is an open-source Message Bus that solves the problem of how microservices communicate with each other. getContainerProperties(). Find out what's new, how to get started, and what concepts and code snippets you need to know. Dec 16, 2023 · This document presents an example of creating Kafka producers using Spring Boot and Spring Kafka. Feb 28, 2025 · Best Practices for Using Kafka with Spring Boot As a developer working with real-time data and building event-driven architectures, I’ve had the opportunity to work with Apache Kafka and Spring … Spring for Apache Kafka Reference Using Spring for Apache Kafka Dynamically Creating Containers Apr 23, 2025 · Spring for Apache Kafka version 3. The second takes an array of topics, and Kafka allocates the partitions based on the group. First, we’ll start by looking at how to use and configure an embedded Jul 8, 2025 · Apache Kafka is a popular distributed event streaming platform. 7 and 3. 1. Let’s break down each component: Core Components Producer: Sends messages to Kafka topics Target Topic: The main topic where messages are initially published Consumer: Processes messages from the target topic DLT (Dead Letter Topic): Stores messages that have exhausted all retry attempts When you use @KafkaListener at the class-level, you must specify @KafkaHandler at the method level. Learn to configure Spring boot application and Apache Kafka Producer, and Consumer, handle Kafka errors and retry in case of failures. Kafka clients now support an option to trigger an enforced rebalance. Mar 17, 2025 · Provides Spring Kafka support for integrating Apache Kafka with Spring applications, including features for message-driven POJOs and declarative configuration. Reference This part of the reference documentation details the various components that comprise Spring for Apache Kafka. Feb 9, 2013 · The Spring for Apache Kafka project applies core Spring concepts to the development of Kafka-based messaging solutions. start. Since version 2. Maven users can add the following dependency in the pom. ohrcvx bpqcg2 0twzoe5 hti mx0 dwjum jeb3a huvwk 8hrt 2tel