spring boot配置双Kafka方法

第一步：application.yml的配置

server:
  port: 8080
spring:
  application:
    name: demo 
  kafka:
    one:
      bootstrap-servers: xxx.xxx.xxx.xxx
      consumer:
        key-deserializer: org.apache.kafka.common.serialization.StringDeserializer
        value-deserializer: org.apache.kafka.common.serialization.ByteArrayDeserializer
        group-id: xxxx
        enable-auto-commit: true
    two:
      bootstrap-servers: xxx.xxx.xxx.xxx
      consumer:
        key-deserializer: org.apache.kafka.common.serialization.StringDeserializer
        value-deserializer: org.apache.kafka.common.serialization.StringDeserializer
        group-id: xxxx
        enable-auto-commit: true

第二步：配置config

@EnableKafka
@Configuration
public class xxxxConfig {
    @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 xxxxTemplate() {
        return new KafkaTemplate<>(producerFactory());
    }

    @Bean
    KafkaListenerContainerFactory> xxxxxxContainerFactory() {
        ConcurrentKafkaListenerContainerFactory factory = new ConcurrentKafkaListenerContainerFactory<>();
        factory.setConsumerFactory(consumerFactory());
        factory.setConcurrency(20);
        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, 0);
        props.put(ProducerConfig.ACKS_CONFIG, "all"); // 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 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);
        props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
//        value-deserializer: org.apache.kafka.common.serialization.ByteArrayDeserializer
        return props;
    }
}

@EnableKafka
@Configuration
public class xxxxConfig {
    @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 xxxxxxxTemplate() {
        return new KafkaTemplate<>(producerFactory());
    }

    @Bean
    KafkaListenerContainerFactory> xxxxxxContainerFactory() {
        ConcurrentKafkaListenerContainerFactory factory = new ConcurrentKafkaListenerContainerFactory<>();
        factory.setConsumerFactory(consumerFactory());
        factory.setConcurrency(6);
        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, 0);
        props.put(ProducerConfig.ACKS_CONFIG, "all"); // 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 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, ByteArrayDeserializer.class);
        //        value-deserializer: org.apache.kafka.common.serialization.ByteArrayDeserializer
        return props;
    }
}

注意！注意！注意！！！代码中的一些字段名自己改一下。xxxx之类的换成自己的就行

第三步：

@Resource
private KafkaTemplate xxxOneTemplate;
@Resource
private KafkaTemplate xxxxTwoTemplate;

直接在你要用到的类中直接引用就行。

跟着以上三步走就可以简单的配置两个Kafka了，还有跟高级的spring切面切点的方法作者还没有研究成功就不献丑了。