聊聊Spring Boot 如何集成多个 Kafka
作者://承续缘_纪录片
这篇文章主要介绍了Spring Boot 集成多个 Kafka的相关资料,包括配置文件,生成者和消费者配置过程,本文通过实例代码给大家介绍的非常详细,需要的朋友参考下吧
一、配置文件
application.yml spring: kafka: one: bootstrap-servers: IP:PORT consumer: group-id: YOUR_GROUP_ID enable-auto-commit: true two: bootstrap-servers: IP:PORT consumer: group-id: YOUR_GROUP_ID enable-auto-commit: true
二、生产者、消费者配置
2.1 第一个 Kafka
@EnableKafka @Configuration public class KafkaOneConfig { @Value("${spring.kafka.one.bootstrap-servers}") private String bootstrapServers; @Value("${spring.kafka.one.consumer.group-id}") private String groupId; @Value("${spring.kafka.one.consumer.enable-auto-commit}") private boolean enableAutoCommit; @Bean public KafkaTemplate<String, String> kafkaOneTemplate() { return new KafkaTemplate<>(producerFactory()); } @Bean KafkaListenerContainerFactory<ConcurrentMessageListenerContainer<Integer, String>> kafkaOneContainerFactory() { ConcurrentKafkaListenerContainerFactory<Integer, String> factory = new ConcurrentKafkaListenerContainerFactory<>(); factory.setConsumerFactory(consumerFactory()); factory.setConcurrency(3); factory.getContainerProperties().setPollTimeout(3000); return factory; } private ProducerFactory<String, String> producerFactory() { return new DefaultKafkaProducerFactory<>(producerConfigs()); } public ConsumerFactory<Integer, String> consumerFactory() { return new DefaultKafkaConsumerFactory<>(consumerConfigs()); } private Map<String, Object> producerConfigs() { Map<String, Object> props = new HashMap<>(); props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapServers); props.put(ProducerConfig.RETRIES_CONFIG, 0); props.put(ProducerConfig.ACKS_CONFIG, "1"); // 不能写成 1 props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class); props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class); return props; } private Map<String, Object> consumerConfigs() { Map<String, Object> props = new HashMap<>(); props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapServers); props.put(ConsumerConfig.GROUP_ID_CONFIG, groupId); props.put(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG, enableAutoCommit); props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class); props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class); return props; } }
2.2 第二个 Kafka
@Configuration public class KafkaTwoConfig { @Value("${spring.kafka.two.bootstrap-servers}") private String bootstrapServers; @Value("${spring.kafka.two.consumer.group-id}") private String groupId; @Value("${spring.kafka.two.consumer.enable-auto-commit}") private boolean enableAutoCommit; @Bean public KafkaTemplate<String, String> kafkaTwoTemplate() { return new KafkaTemplate<>(producerFactory()); } @Bean KafkaListenerContainerFactory<ConcurrentMessageListenerContainer<Integer, String>> kafkaTwoContainerFactory() { ConcurrentKafkaListenerContainerFactory<Integer, String> factory = new ConcurrentKafkaListenerContainerFactory<>(); factory.setConsumerFactory(consumerFactory()); factory.setConcurrency(3); factory.getContainerProperties().setPollTimeout(3000); return factory; } private ProducerFactory<String, String> producerFactory() { return new DefaultKafkaProducerFactory<>(producerConfigs()); } public ConsumerFactory<Integer, String> consumerFactory() { return new DefaultKafkaConsumerFactory<>(consumerConfigs()); } private Map<String, Object> producerConfigs() { Map<String, Object> props = new HashMap<>(); props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapServers); props.put(ProducerConfig.RETRIES_CONFIG, 0); props.put(ProducerConfig.ACKS_CONFIG, "1"); props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class); props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class); return props; } private Map<String, Object> consumerConfigs() { Map<String, Object> props = new HashMap<>(); props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapServers); props.put(ConsumerConfig.GROUP_ID_CONFIG, groupId); props.put(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG, enableAutoCommit); props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class); props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class); return props; } }
三、生产者
@Controller public class TestController { @Autowired private KafkaTemplate kafkaOneTemplate; @Autowired private KafkaTemplate kafkaTwoTemplate; @RequestMapping("/send") @ResponseBody public String send() { final String TOPIC = "TOPIC_1"; kafkaOneTemplate.send(TOPIC, "kafka one"); kafkaTwoTemplate.send(TOPIC, "kafka two"); return "success"; } }
四、消费者
@Component public class KafkaConsumer { private static final Logger LOGGER = LoggerFactory.getLogger(KafkaConsumer.class); final String TOPIC = "TOPIC_1"; // containerFactory 的值要与配置中 KafkaListenerContainerFactory 的 Bean 名相同 @KafkaListener(topics = {TOPIC}, containerFactory = "kafkaOneContainerFactory") public void listenerOne(ConsumerRecord<?, ?> record) { LOGGER.info(" kafka one 接收到消息:{}", record.value()); } @KafkaListener(topics = {TOPIC}, containerFactory = "kafkaTwoContainerFactory") public void listenerTwo(ConsumerRecord<?, ?> record) { LOGGER.info(" kafka two 接收到消息:{}", record.value()); } }
运行结果
c.k.s.consumer.KafkaConsumer : kafka one 接收到消息:kafka one
c.k.s.consumer.KafkaConsumer : kafka two 接收到消息:kafka two
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