Spring Boot配置多个Kafka数据源

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

		
			org.springframework.kafka
			spring-kafka
		

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 kafkaOneTemplate() {
        return new KafkaTemplate<>(producerFactory());
    }
    private ProducerFactory producerFactory() {
        return new DefaultKafkaProducerFactory<>(producerConfigs());
    }
    private Map producerConfigs() {
        Map 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 kafkaTwoTemplate() {
        return new KafkaTemplate<>(producerFactory());
    }
    @Bean
    KafkaListenerContainerFactory> kafkaTwoContainerFactory() {
        ConcurrentKafkaListenerContainerFactory factory = new ConcurrentKafkaListenerContainerFactory<>();
        factory.setConsumerFactory(consumerFactory());
        factory.setConcurrency(3);
        factory.getContainerProperties().setPollTimeout(3000);
        return factory;
    }
    private ProducerFactory producerFactory() {
        return new DefaultKafkaProducerFactory<>(producerConfigs());
    }
    public ConsumerFactory consumerFactory() {
        return new DefaultKafkaConsumerFactory<>(consumerConfigs());
    }
    private Map producerConfigs() {
        Map 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 consumerConfigs() {
        Map 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