Spring Boot auto-configuration attempts to automatically configure your Spring application based on the JAR dependencies that have been added. In other words, if the spring-kafka-1.2.2.RELEASE.jar is on the classpath and you have not manually configured any Consumer or Provider beans, then Spring Boot will auto-configure them using default values.

In order to demonstrate this behavior we will start from a previous Spring Kafka tutorial in which we send/receive messages to/from an Apache Kafka topic using Spring Kafka. The original code will be reduced to a bare minimum in order to demonstrate Spring Boot’s autoconfiguration.

If you want to learn more about Spring Kafka - head on over to the Spring Kafka tutorials page.

General Project Setup

Tools used:

  • Spring Kafka 1.2
  • Spring Boot 1.5
  • Maven 3.5

The project is built using Maven. The Maven POM file contains the needed dependencies for Spring Boot and Spring Kafka as shown below.

<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
  xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">


  <description>Spring Kafka - Spring Boot Example</description>




    <!-- spring-boot -->
    <!-- spring-kafka -->

      <!-- spring-boot-maven-plugin -->

The SpringKafkaApplication remains unchanged. What is important to note is that in order for the auto-configuration to work we need to opt-in by adding the @EnableAutoConfiguration or @SpringBootApplication (which is same as adding @Configuration @EnableAutoConfiguration @ComponentScan) annotation to one of our @Configuration classes.

You should only ever add one @EnableAutoConfiguration annotation. It is recommended to add it to your primary @Configuration class.

package com.codenotfound.kafka;

import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;

public class SpringKafkaApplication {

  public static void main(String[] args) {
    SpringApplication.run(SpringKafkaApplication.class, args);

Autoconfigure the Spring Kafka Message Producer

The setup and creation of the KafkaTemplate and Producer beans is automatically done by Spring Boot. The only things left to do are auto-wiring the KafkaTemplate and using it in the send() method.

By annotating the Sender class with @Component, Spring will instantiate this class as a bean that we will use in our test case. In order for this to work, we also need the @EnableAutoConfiguration which was indirectly specified on SpringKafkaApplication by using the @SpringBootApplication annotation.

package com.codenotfound.kafka.producer;

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.kafka.core.KafkaTemplate;
import org.springframework.stereotype.Component;

public class Sender {

  private static final Logger LOGGER = LoggerFactory.getLogger(Sender.class);

  private KafkaTemplate<String, String> kafkaTemplate;

  public void send(String topic, String payload) {
    LOGGER.info("sending payload='{}' to topic='{}'", payload, topic);
    kafkaTemplate.send(topic, payload);

Autoconfigure the Spring Kafka Message Consumer

Similar to the Sender, the setup and creation of the ConcurrentKafkaListenerContainerFactory and KafkaMessageListenerContainer beans is automatically done by Spring Boot.

The @KafkaListener annotation creates a message listener container for the annotated receive() method. The topic name is specified using the ${kafka.topic.boot} placeholder for which the value will be automatically fetched from the application.yml properties file.

package com.codenotfound.kafka.consumer;

import java.util.concurrent.CountDownLatch;

import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.kafka.annotation.KafkaListener;
import org.springframework.stereotype.Component;

public class Receiver {

  private static final Logger LOGGER = LoggerFactory.getLogger(Receiver.class);

  private CountDownLatch latch = new CountDownLatch(1);

  public CountDownLatch getLatch() {
    return latch;

  @KafkaListener(topics = "${kafka.topic.boot}")
  public void receive(ConsumerRecord<?, ?> consumerRecord) {
    LOGGER.info("received payload='{}'", consumerRecord.toString());

For the Receiver, Spring Boot takes care of most of the configuration. There are however two properties that need to be explicitly set in the application.yml properties file:

  1. The kafka.consumer.auto-offset-reset property needs to be set to 'earliest' which ensures the new consumer group will get the message sent in case the container started after the send was completed.
  2. The kafka.consumer.group-id property needs to be specified as we are using group management to assign topic partitions to consumers. In this example we will assign it the value 'boot'.
      auto-offset-reset: earliest
      group-id: boot

    boot: boot.t

Scroll down to # APACHE KAFKA in the following link in order to get a complete overview of all the Spring Kafka properties that can be set for auto configuration using the Spring Boot application properties file.

Testing the Sender and Receiver

In order to verify that our code works, a basic SpringKafkaApplicationTest test case is used. It contains a testReceiver() unit test case that uses the Sender to send a message to the 'boot.t' topic on the Kafka bus. We then use the CountDownLatch from the Receiver to verify that a message was successfully received.

The test case runs using the embedded Kafka broker which is started via a JUnit @ClassRule.

Note that we have added a dedicated application.yml properties file under src/test/resources in order to override the default broker address with the address of the embedded broker using the spring.kafka.bootstrap-servers property.

package com.codenotfound.kafka;

import static org.assertj.core.api.Assertions.assertThat;

import java.util.concurrent.TimeUnit;

import org.junit.ClassRule;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.kafka.test.rule.KafkaEmbedded;
import org.springframework.test.context.junit4.SpringRunner;

import com.codenotfound.kafka.consumer.Receiver;
import com.codenotfound.kafka.producer.Sender;

public class SpringKafkaApplicationTest {

  private static String BOOT_TOPIC = "boot.t";

  private Sender sender;

  private Receiver receiver;

  public static KafkaEmbedded embeddedKafka = new KafkaEmbedded(1, true, BOOT_TOPIC);

  public void testReceive() throws Exception {
    sender.send(BOOT_TOPIC, "Hello Boot!");

    receiver.getLatch().await(10000, TimeUnit.MILLISECONDS);

Fire up the above test case by opening a command prompt and execute following Maven command:

mvn test

Maven will then download the dependencies, compile the code and run the unit test case during which following logs should be generated:

  .   ____          _            __ _ _
 /\\ / ___'_ __ _ _(_)_ __  __ _ \ \ \ \
( ( )\___ | '_ | '_| | '_ \/ _` | \ \ \ \
 \\/  ___)| |_)| | | | | || (_| |  ) ) ) )
  '  |____| .__|_| |_|_| |_\__, | / / / /
 :: Spring Boot ::        (v1.5.4.RELEASE)

20:58:18.284 [main] INFO  c.c.kafka.SpringKafkaApplicationTest - Starting SpringKafkaApplicationTest on cnf-pc with PID 6032 (started by CodeNotFound in c:\codenotfound\code\spring-kafka\spring-kafka-avr
20:58:18.284 [main] DEBUG c.c.kafka.SpringKafkaApplicationTest - Running with Spring Boot v1.5.4.RELEASE, Spring v4.3.9.RELEASE
20:58:18.285 [main] INFO  c.c.kafka.SpringKafkaApplicationTest - No active profile set, falling back to default profiles: default
20:58:19.011 [main] INFO  c.c.kafka.SpringKafkaApplicationTest - Started SpringKafkaApplicationTest in 1.07 seconds (JVM running for 5.484)
20:58:20.348 [main] INFO  c.codenotfound.kafka.producer.Sender - sending user='{"name": "John Doe", "favorite_number": null, "favorite_color": "green"}'
20:58:20.364 [main] DEBUG c.c.kafka.serializer.AvroSerializer - data='{"name": "John Doe", "favorite_number": null, "favorite_color": "green"}'
20:58:20.364 [main] DEBUG c.c.kafka.serializer.AvroSerializer - serialized data='104A6F686E20446F6502000A677265656E'
20:58:20.383 [org.springframework.kafka.KafkaListenerEndpointContainer#0-0-C-1] DEBUG c.c.k.serializer.AvroDeserializer - data='104A6F686E20446F6502000A677265656E'
20:58:20.384 [org.springframework.kafka.KafkaListenerEndpointContainer#0-0-C-1] DEBUG c.c.k.serializer.AvroDeserializer - deserialized data='{"name": "John Doe", "favorite_number": null, "favorite_color": "green"}'
20:58:20.390 [org.springframework.kafka.KafkaListenerEndpointContainer#0-0-C-1] INFO  c.c.kafka.consumer.Receiver - received user='{"name": "John Doe", "favorite_number": null, "favorite_color": "green"}'
20:58:21.599 [main] ERROR o.a.zookeeper.server.ZooKeeperServer - ZKShutdownHandler is not registered, so ZooKeeper server won't take any action on ERROR or SHUTDOWN server state changes
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 8.248 sec - in com.codenotfound.kafka.SpringKafkaApplicationTest

Results :

Tests run: 3, Failures: 0, Errors: 0, Skipped: 0

[INFO] ------------------------------------------------------------------------
[INFO] ------------------------------------------------------------------------
[INFO] Total time: 11.217 s
[INFO] Finished at: 2017-08-02T20:58:22+02:00
[INFO] Final Memory: 19M/211M
[INFO] ------------------------------------------------------------------------

github mark If you would like to run the above code sample you can get the full source code here.

Using Spring Boot’s autoconfiguration we were able to setup a Sender and Receiver using only a couple of lines of code. Hopefully, this example will kick-start your Spring Kafka development.

Feel free to leave a comment in case something was not clear or just to let me know if everything worked.

Leave a Comment