kafka简单dome

kafka是基于zookeeper的，所以需要先安装zokeeper

zookeeper

#docker拉取zookeeper
docker pull wurstmeister/zookeeper

#安装zookeeper
docker run -d --name zookeeper -p 2181:2181 wurstmeister/zookeeper

kafka

#docker拉取kafka
docker pull wurstmeister/kafka
#安装kafka
docker run -d --name kafka -p 9092:9092 --link zookeeper --env KAFKA_ZOOKEEPER_CONNECT=zookeeper:2181 --env KAFKA_ADVERTISED_HOST_NAME=127.0.0.1 --env KAFKA_ADVERTISED_PORT=9092 wurstmeister/kafka

项目引入kafka<dependency>

<groupId>org.springframework.cloud</groupId>
  <artifactId>spring-cloud-starter-stream-kafka</artifactId>
  <version>3.1.2</version>
</dependency>

kafka配置文件

spring:
  kafka:
    bootstrap-servers: localhost:9092 #kafka服务地址
    producer:
        value-serializer: org.apache.kafka.common.serialization.StringSerializer
    consumer:
        value-deserializer: org.apache.kafka.common.serialization.StringDeserializer

创建生产者

@Component
public class KafkaSender {
    @Autowired
    private KafkaTemplate<String, String> kafkaTemplate;
    public void send(String msg) {
        ListenableFuture<SendResult<String, String>> future = kafkaTemplate.send("testTopic", msg);
        future.addCallback(success -> System.out.println(success.getRecordMetadata().topic() + success.getRecordMetadata().partition())
                , fail -> System.out.println(fail.getMessage()));
    }
}

创建消费者

@Component
public class KafkaCusumer {
    @KafkaListener(topics = {"testTopic"},groupId = "group1")
    public void fun(String msg){
        System.out.println(msg);
    }

    @KafkaListener(topics = {"testTopic"},groupId = "group1")
    public void fun1(String msg){
        System.out.println("2:"+msg);
    }

    @KafkaListener(topics = {"testTopic"},groupId = "group1")
    public void fun2(String msg){
        System.out.println("3:"+msg);
    }
}

groupId相同则会进行负载均衡，一条消息只能一个相同的groupId的接收到