Spring Boot配置多个Kafka数据源

淩亂°似流年 2024-03-27 18:20 98阅读 0赞

### 一、配置文件 ###

application.properties配置文件如下

#kafka多数据源配置
    #kafka数据源一，日志审计推送
    spring.kafka.one.bootstrap-servers=172.19.12.109:32182
    spring.kafka.one.producer.retries=0
    spring.kafka.one.producer.properties.max.block.ms=5000
    #kafka数据源二，动环数据消费
    spring.kafka.two.bootstrap-servers=172.19.12.109:32182
    spring.kafka.two.producer.retries=0
    spring.kafka.two.producer.properties.max.block.ms=5000
    spring.kafka.two.consumer.group-id=bw-convert-data
    spring.kafka.two.consumer.enable-auto-commit=true

### 二、pom依赖 ###

<dependency>
    			<groupId>org.springframework.kafka</groupId>
    			<artifactId>spring-kafka</artifactId>
    		</dependency>

### 三、生产者、消费者配置 ###

#### 1.第一个kakfa ####

package com.gstanzer.convert.config;
    
    import org.apache.kafka.clients.producer.ProducerConfig;
    import org.apache.kafka.common.serialization.StringSerializer;
    import org.springframework.beans.factory.annotation.Value;
    import org.springframework.context.annotation.Bean;
    import org.springframework.context.annotation.Configuration;
    import org.springframework.kafka.annotation.EnableKafka;
    import org.springframework.kafka.core.*;
    import java.util.HashMap;
    import java.util.Map;
    
    @EnableKafka
    @Configuration
    public class KafkaOneConfig {
    
        @Value("${spring.kafka.one.bootstrap-servers}")
        private String bootstrapServers;
        @Value("${spring.kafka.one.producer.retries}")
        private String retries;
        @Value("${spring.kafka.one.producer.properties.max.block.ms}")
        private String maxBlockMs;
    
        @Bean
        public KafkaTemplate<String, String> kafkaOneTemplate() {
            return new KafkaTemplate<>(producerFactory());
        }
    
        private ProducerFactory<String, String> producerFactory() {
            return new DefaultKafkaProducerFactory<>(producerConfigs());
        }
    
        private Map<String, Object> producerConfigs() {
            Map<String, Object> props = new HashMap<>();
            props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapServers);
            props.put(ProducerConfig.RETRIES_CONFIG, retries);
            props.put(ProducerConfig.MAX_BLOCK_MS_CONFIG, maxBlockMs);
            props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
            props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
            return props;
        }
    }

#### 2.第二个kakfa ####

package com.gstanzer.convert.config;
    
    import org.apache.kafka.clients.consumer.ConsumerConfig;
    import org.apache.kafka.clients.producer.ProducerConfig;
    import org.apache.kafka.common.serialization.StringDeserializer;
    import org.apache.kafka.common.serialization.StringSerializer;
    import org.springframework.beans.factory.annotation.Value;
    import org.springframework.context.annotation.Bean;
    import org.springframework.context.annotation.Configuration;
    import org.springframework.kafka.annotation.EnableKafka;
    import org.springframework.kafka.config.ConcurrentKafkaListenerContainerFactory;
    import org.springframework.kafka.config.KafkaListenerContainerFactory;
    import org.springframework.kafka.core.*;
    import org.springframework.kafka.listener.ConcurrentMessageListenerContainer;
    
    import java.util.HashMap;
    import java.util.Map;
    
    @Configuration
    @EnableKafka
    public class KafkaTwoConfig {
    
        @Value("${spring.kafka.two.bootstrap-servers}")
        private String bootstrapServers;
        @Value("${spring.kafka.two.producer.retries}")
        private String retries;
        @Value("${spring.kafka.two.producer.properties.max.block.ms}")
        private String maxBlockMs;
        @Value("${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, retries);
            props.put(ProducerConfig.MAX_BLOCK_MS_CONFIG, maxBlockMs);
            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;
        }
    
    }

### 四.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";
        }
    }

### 五.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());
        }
    }

备注：

生产者消费者代码参考链接，开发同学需要以实际情况按要求自己变更下代码即可：

[Spring Boot 集成多个 Kafka\_springboot集成多个kafka\_//承续缘\_纪录片的博客-CSDN博客][Spring Boot _ Kafka_springboot_kafka_-CSDN]

[Spring Boot _ Kafka_springboot_kafka_-CSDN]: https://blog.csdn.net/lck_csdn/article/details/124254700