13、Springboot集成Kafka，最简化消息队列通信的实现

相关依赖的引入

    org.springframework.kafka
    spring-kafka
    1.0.6.RELEASE

这里的版本号是1.0.6.RELEASE ，是以我服务器上安装的Kafka版本所决定的，如果版本不对应则会发生各种意想不到的问题，就当人类未解之谜好了，

服务器端Kafka版本为kafka_2.11-1.0.0, 根据下图，请自行根据实际情况甄别不同版本

kafka-clients的版本号，在Springboot项目运行的时候，在运行日志中可见到

编辑配置文件application.yml

spring: 
    kafka:
        bootstrap-servers: XX.XXX.XX.XX:9092
        consumer:
            group-id: 0
            key-deserializer: org.apache.kafka.common.serialization.StringDeserializer
            value-deserializer: org.apache.kafka.common.serialization.StringDeserializer
        producer:
            key-serializer: org.apache.kafka.common.serialization.StringSerializer
            value-deserializer: org.apache.kafka.common.serialization.StringSerializer
            batch-size: 65536
            buffer-memory: 524288

创建 生产者 KafkaProducer

package com.zyr.ws.kafka;

import com.zyr.ws.utils.LogUtils;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.kafka.core.KafkaTemplate;
import org.springframework.scheduling.annotation.EnableScheduling;
import org.springframework.scheduling.annotation.Scheduled;
import org.springframework.stereotype.Component;
import org.springframework.util.concurrent.FailureCallback;
import org.springframework.util.concurrent.ListenableFuture;
import org.springframework.util.concurrent.SuccessCallback;

import java.util.Date;

@Component
@EnableScheduling
public class KafkaProducer {

    @Autowired
    private KafkaTemplate kafkaTemplate;

    private static Logger logger = LoggerFactory.getLogger(KafkaProducer.class);
    /**
     * 发送消息到Kafka
     * @param channel Topic
     * @param message 数据包
     */
    public void sendChannelMess(String channel, String message){
        ListenableFuture future = kafkaTemplate.send(channel, message);
        future.addCallback(new SuccessCallback() {
            @Override
            public void onSuccess(Object o) {
                LogUtils.writeLogger(logger, o, "发送成功");
            }
        }, new FailureCallback() {
            @Override
            public void onFailure(Throwable throwable) {
                LogUtils.writeErrorException(logger, "发送异常", throwable);
            }
        });
    }

    @Scheduled(cron = "0/5 * * * * ?")
    public void task() {
        String message = new Date().toString();
        sendChannelMess("match", message);
    }
}

创建 消费者 KafkaConsumer

package com.zyr.ws.kafka;

import com.zyr.ws.utils.LogUtils;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.kafka.annotation.KafkaListener;
import org.springframework.stereotype.Component;

@Component
public class KafkaConsumer {

    private static Logger logger = LoggerFactory.getLogger(KafkaConsumer.class);
    /**
     * 监听比赛主题,有消息就读取
     * @param message 数据包
     */
    @KafkaListener(topics = {"match"})
    public void receiveMessage(String message){
        LogUtils.writeLogger(logger, message, "接收数据");
        // 后续操作待完善
    }
}

在 生产者中 定义了一个每五秒发送消息的定时任务，启动项目，测试即可！！！

至于Kafka的安装，在我其它日志中有相关描述，此处省略……