SpringBoot+Kafka

---

一、依赖

<dependency>
    <groupId>org.springframework.kafkagroupId>
    <artifactId>spring-kafkaartifactId>
    <version>2.5.1.RELEASEversion>
dependency>

二、配置文件

spring:
  kafka:
    # kafka地址，集群用逗号分隔（localhost:9092,localhost:9093）。缺省：localhost:9092
    bootstrap-servers: localhost:9092
    # 生产者
    #producer:
      # key的序列化方式，缺省：org.apache.kafka.common.serialization.StringSerializer
      #key-serializer: org.apache.kafka.common.serialization.StringSerializer
      # value的序列化方式，缺省：org.apache.kafka.common.serialization.StringSerializer
      #value-serializer: org.apache.kafka.common.serialization.StringSerializer
    # 消费者
    consumer:
      # 消费者组
      group-id: testGroup
      # 自动偏移量
        # earliest：当各分区下有已提交的offset时,从提交的offset开始消费;无提交的offset时，从头开始消费
        # latest：当各分区下有已提交的offset时,从提交的offset开始消费;无提交的offset时，消费新产生的该分区下的数据
        # none：topic各分区都存在已提交的offset时,从offset后开始消费;只要有一个分区不存在已提交的offset，则抛出异常
      auto-offset-reset: latest
      # key的序列化方式，缺省：org.apache.kafka.common.serialization.StringSerializer
      #key-deserializer: org.apache.kafka.common.serialization.StringDeserializer
      # value的序列化方式，缺省：org.apache.kafka.common.serialization.StringSerializer
      #value-deserializer: org.apache.kafka.common.serialization.StringDeserializer
    #listener:
      # SINGLE-单个消费；BATCH-批量消费。缺省SINGLE
      #type: BATCH
      # 消费者监听的主题不存在时，启动项目是否报错。缺省：false
      #missing-topics-fatal: false

三、API

1、生产者

/**
 * 生产消息
 *
 * @author kimi
 * @date 2023/2/18
 */
@Component
public class ProducerMsg {

    @Autowired
    private KafkaTemplate<String, String> kafkaTemplate;


    /**
     * 生产消息
     *
     * @param msg
     */
    public void send(String topic, String msg) {
        kafkaTemplate.send(topic, msg);
    }

    /**
     * 生产消息+回调
     *
     * @param topic
     * @param msg
     */
    public void sendCallback(String topic, String msg) {
        kafkaTemplate.send(topic, msg).addCallback(new ListenableFutureCallback<SendResult<String, String>>() {

            //成功的回调
            @Override
            public void onSuccess(SendResult<String, String> stringStringSendResult) {
                RecordMetadata recordMetadata = stringStringSendResult.getRecordMetadata();
                //主题
                final String topic = recordMetadata.topic();
                //分区
                final int partition = recordMetadata.partition();
                //偏移量
                final long offset = recordMetadata.offset();
                System.err.println(String.format("生产消息成功：topic: %s，partition: %s，offset: %s", topic, partition, offset));
            }

            //失败的回调
            @Override
            public void onFailure(Throwable throwable) {

            }
        });
    }

}

2、消费者

/**
 * 消费者
 *
 * @author kimi
 * @date 2023/2/18
 */
@Component
public class ConsumeMsg {

    /**
     * 单个消费
     *
     * @param consumer
     */
    @KafkaListener(topics = {"USER", "LOG"})
    public void consumeSingle(ConsumerRecord<String, String> consumer) {
        System.err.println("监听到kafka消息: " + consumer);
        final String topic = consumer.topic();
        final String value = consumer.value();
    }

    /**
     * 批量消费
     * 需将配置文件中的listener.type设置成BATCH
     *
     * @param consumers
     */
    //@KafkaListener(topics = {"USER", "LOG"})
    public void consumeBatch(List<ConsumerRecord<String, String>> consumers) {
        consumers.forEach(consumer -> {
            final String topic = consumer.topic();
            final String value = consumer.value();

            System.err.println(String.format("topic: %s，value: %s", topic, value));
        });
    }

}