kafka SpringBoot

启动zookeeper

./bin/zookeeper-server-start.sh ./config/zookeeper.properties

启动kafka

 ./bin/kafka-server-start.sh ./config/server.properties

创建topic

 bin/kafka-topics.sh --create --topic topic1 --bootstrap-server localhost:9092

SpringBoot 引入依赖

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

application.yml配置

server:
  port: 8080


spring:
  application:
    name: paw-kafka
  #kafka
  kafka:
    # 连接kafka的地址，多个地址用逗号分隔
    bootstrap-servers: localhost:9092
    #producer
    producer:
      #若设置大于0的值，客户端会将发送失败的记录重新发送
      retries: 0
      #当将多个记录被发送到同一个分区时Producer将尝试将记录组合到更少的请求中。这有助于提升客户端和服务器端的性能。这个配置控制一个批次的默认大小（以字节为单位）。16384是缺省的配置
      batch-size: 16384
      #Producer 用来缓冲等待被发送到服务器的记录的总字节数，33554432是缺省配置
      buffer-memory: 33554432
      #关键字的序列化类
      key-serializer: org.apache.kafka.common.serialization.StringSerializer
      #值的序列化类
      value-serializer: org.apache.kafka.common.serialization.StringSerializer
      properties:
        linger.ms: 1

    #cousumer
    consumer:
      enable-auto-commit: false
      auto-commit-interval: 100ms
      key-deserializer: org.apache.kafka.common.serialization.StringDeserializer
      value-deserializer: org.apache.kafka.common.serialization.StringDeserializer
      group-id: test-group-id
      properties:
        session.timeout.ms: 15000

创建生产者、消费者

生产者通过KafkaTemplate.send发送消息，send可以指定key, 同一key发往同一分区，会发给同一消费者保证时序性。
消费者通过@KafkaListener监听topic,groupId指定分组，kafka将消息发往所有的分组，同一分组会选择一个消费者。

@Service
@Slf4j
public class KfkService {
  @Autowired
  private KafkaTemplate<Integer,String> kafkaTemplate;


  //消费者：监听topic1，groupId1
  @KafkaListener(topics = {"topic1"},groupId = "groupId1")
  public void consumer1(ConsumerRecord<Integer,String> record){
    log.info("consumer1 kfk consume message start...");
    log.info("consumer1 kfk consume message topic:{},msg:{}",record.topic(),record.value());
    log.info("consumer1 kfk consume message end...");
  }
  //消费者：监听topic1，groupId2
  @KafkaListener(topics = {"topic1"},groupId = "groupId2")
  public void consumer3(ConsumerRecord<Integer,String> record){
    log.info("consumer3 kfk consume message start...");
    log.info("consumer3 kfk consume message topic:{},msg:{}",record.topic(),record.value());
    log.info("consumer3 kfk consume message end...");
  }
  //消费者：监听topic1，groupId2
  @KafkaListener(topics = {"topic1"},groupId = "groupId2")
  public void consumer2(ConsumerRecord<Integer,String> record){
    log.info("consumer2 kfk consume message start...");
    log.info("consumer2 kfk consume message topic:{},msg:{}",record.topic(),record.value());
    log.info("consumer2 kfk consume message end...");
  }

  //生产者
  public void sendMsg(String topic , String msg){
    log.info("开始发送kfk消息,topic:{},msg:{}",topic,msg);

    ListenableFuture<SendResult<Integer, String>> sendMsg = kafkaTemplate.send(topic, msg);
    //消息确认
    sendMsg.addCallback(new ListenableFutureCallback<SendResult<Integer, String>>() {
      @Override
      public void onFailure(Throwable throwable) {
        log.error("send error,ex:{},topic:{},msg:{}",throwable,topic,msg);
      }

      @Override
      public void onSuccess(SendResult<Integer, String> stringStringSendResult) {
        log.info("send success,topic:{},msg:{}",topic,msg);
      }
    });
    log.info("kfk send end!");
  }

}

测试类

@RestController
public class KfkController {
    @Autowired
    private KfkService kfkService;
    @GetMapping("/send")
    public String send(){
        kfkService.sendMsg("topic1","I am topic msg");
        return "success-topic1";
    }
}

gitee: https://gitee.com/tg_seahorse/paw-demos paw-kafka项目