This first part of the reference documentation is a high-level overview of Spring for Apache Kafka and the underlying concepts and some code snippets that will get you up and running as quickly as possible.
This is the 5 minute tour to get started with Spring Kafka.
Prerequisites: install and run Apache Kafka Then grab the spring-kafka JAR and all of its dependencies - the easiest way to do that is to declare a dependency in your build tool, e.g. for Maven:
<dependency> <groupId>org.springframework.kafka</groupId> <artifactId>spring-kafka</artifactId> <version>2.2.0.M1</version> </dependency>
And for Gradle:
compile 'org.springframework.kafka:spring-kafka:2.2.0.M1'
Using plain Java to send and receive a message:
@Test public void testAutoCommit() throws Exception { logger.info("Start auto"); ContainerProperties containerProps = new ContainerProperties("topic1", "topic2"); final CountDownLatch latch = new CountDownLatch(4); containerProps.setMessageListener(new MessageListener<Integer, String>() { @Override public void onMessage(ConsumerRecord<Integer, String> message) { logger.info("received: " + message); latch.countDown(); } }); KafkaMessageListenerContainer<Integer, String> container = createContainer(containerProps); container.setBeanName("testAuto"); container.start(); Thread.sleep(1000); // wait a bit for the container to start KafkaTemplate<Integer, String> template = createTemplate(); template.setDefaultTopic(topic1); template.sendDefault(0, "foo"); template.sendDefault(2, "bar"); template.sendDefault(0, "baz"); template.sendDefault(2, "qux"); template.flush(); assertTrue(latch.await(60, TimeUnit.SECONDS)); container.stop(); logger.info("Stop auto"); }
private KafkaMessageListenerContainer<Integer, String> createContainer( ContainerProperties containerProps) { Map<String, Object> props = consumerProps(); DefaultKafkaConsumerFactory<Integer, String> cf = new DefaultKafkaConsumerFactory<Integer, String>(props); KafkaMessageListenerContainer<Integer, String> container = new KafkaMessageListenerContainer<>(cf, containerProps); return container; } private KafkaTemplate<Integer, String> createTemplate() { Map<String, Object> senderProps = senderProps(); ProducerFactory<Integer, String> pf = new DefaultKafkaProducerFactory<Integer, String>(senderProps); KafkaTemplate<Integer, String> template = new KafkaTemplate<>(pf); return template; } private Map<String, Object> consumerProps() { Map<String, Object> props = new HashMap<>(); props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, "localhost:9092"); props.put(ConsumerConfig.GROUP_ID_CONFIG, group); props.put(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG, true); props.put(ConsumerConfig.AUTO_COMMIT_INTERVAL_MS_CONFIG, "100"); props.put(ConsumerConfig.SESSION_TIMEOUT_MS_CONFIG, "15000"); props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, IntegerDeserializer.class); props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class); return props; } private Map<String, Object> senderProps() { Map<String, Object> props = new HashMap<>(); props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, "localhost:9092"); props.put(ProducerConfig.RETRIES_CONFIG, 0); props.put(ProducerConfig.BATCH_SIZE_CONFIG, 16384); props.put(ProducerConfig.LINGER_MS_CONFIG, 1); props.put(ProducerConfig.BUFFER_MEMORY_CONFIG, 33554432); props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, IntegerSerializer.class); props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class); return props; }
A similar example but with Spring configuration in Java:
@Autowired private Listener listener; @Autowired private KafkaTemplate<Integer, String> template; @Test public void testSimple() throws Exception { template.send("annotated1", 0, "foo"); template.flush(); assertTrue(this.listener.latch1.await(10, TimeUnit.SECONDS)); } @Configuration @EnableKafka public class Config { @Bean ConcurrentKafkaListenerContainerFactory<Integer, String> kafkaListenerContainerFactory() { ConcurrentKafkaListenerContainerFactory<Integer, String> factory = new ConcurrentKafkaListenerContainerFactory<>(); factory.setConsumerFactory(consumerFactory()); return factory; } @Bean public ConsumerFactory<Integer, String> consumerFactory() { return new DefaultKafkaConsumerFactory<>(consumerConfigs()); } @Bean public Map<String, Object> consumerConfigs() { Map<String, Object> props = new HashMap<>(); props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, embeddedKafka.getBrokersAsString()); ... return props; } @Bean public Listener listener() { return new Listener(); } @Bean public ProducerFactory<Integer, String> producerFactory() { return new DefaultKafkaProducerFactory<>(producerConfigs()); } @Bean public Map<String, Object> producerConfigs() { Map<String, Object> props = new HashMap<>(); props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, embeddedKafka.getBrokersAsString()); ... return props; } @Bean public KafkaTemplate<Integer, String> kafkaTemplate() { return new KafkaTemplate<Integer, String>(producerFactory()); } }
public class Listener { private final CountDownLatch latch1 = new CountDownLatch(1); @KafkaListener(id = "foo", topics = "annotated1") public void listen1(String foo) { this.latch1.countDown(); } }
The following Spring Boot application sends 3 messages to a topic, receives them, and stops.
Application.
@SpringBootApplication public class Application implements CommandLineRunner { public static Logger logger = LoggerFactory.getLogger(Application.class); public static void main(String[] args) { SpringApplication.run(Application.class, args).close(); } @Autowired private KafkaTemplate<String, String> template; private final CountDownLatch latch = new CountDownLatch(3); @Override public void run(String... args) throws Exception { this.template.send("myTopic", "foo1"); this.template.send("myTopic", "foo2"); this.template.send("myTopic", "foo3"); latch.await(60, TimeUnit.SECONDS); logger.info("All received"); } @KafkaListener(topics = "myTopic") public void listen(ConsumerRecord<?, ?> cr) throws Exception { logger.info(cr.toString()); latch.countDown(); } }
Boot takes care of most of the configuration; when using a local broker, the only properties we need are:
application.properties.
spring.kafka.consumer.group-id=foo spring.kafka.consumer.auto-offset-reset=earliest
The first because we are using group management to assign topic partitions to consumers so we need a group, the second to ensure the new consumer group will get the messages we just sent, because the container might start after the sends have completed.