springboot+kafka实现简单的消息推送

小灰灰 2021-10-09 07:36 645阅读 0赞

# 1 springboot中文件配置 #

#kafka服务所在IP 可以是多个，用逗号隔开
    spring.kafka.bootstrap-servers=192.168.1.26:9092
    #分组设置 需在本机hosts文件中映射
    spring.kafka.consumer.group-id=kafka-1
    spring.kafka.consumer.auto-offset-reset=earliest
    spring.kafka.consumer.key-deserializer=org.apache.kafka.common.serialization.StringDeserializer
    spring.kafka.consumer.value-deserializer=org.apache.kafka.common.serialization.StringDeserializer
     
    spring.kafka.producer.key-serializer=org.apache.kafka.common.serialization.StringSerializer
    spring.kafka.producer.value-serializer=org.apache.kafka.common.serialization.StringSerializer
    spring.kafka.producer.bootstrap-servers=192.168.1.26:9092

2 修改本机电脑host文件

192.168.1.26 kafka-1

3 maven中增加依赖

<dependency>
    			<groupId>org.apache.kafka</groupId>
    			<artifactId>kafka_2.11</artifactId>
    			<version>0.11.0.1</version>
    		</dependency>

4.测试类

package org.atm.dc.app.web;
     
    import com.alibaba.fastjson.JSONObject;
    import org.apache.kafka.clients.consumer.ConsumerRecord;
    import org.atm.dc.app.constant.Constant;
    import org.atm.dc.app.service.ScheduledService;
    import org.atm.dc.app.util.Mongodb;
    import org.slf4j.Logger;
    import org.slf4j.LoggerFactory;
    import org.springframework.beans.factory.annotation.Autowired;
    import org.springframework.kafka.annotation.KafkaListener;
    import org.springframework.kafka.core.KafkaTemplate;
    import org.springframework.web.bind.annotation.RequestMapping;
    import org.springframework.web.bind.annotation.RestController;
     
    import java.util.List;
    import java.util.Map;
     
    /**
     * Created by hh on 2019/4/19.14:00
     */
    @RequestMapping("/test")
    @RestController
    public class KafkaTestController {
        private static Logger logger = LoggerFactory.getLogger(Test.class);
        @Autowired
        private KafkaTemplate<String,Object> kafkaTemplate;
     
        @Autowired
        private ScheduledService scheduledService;
     
        /**
         *测试数据接收
         * @return
         */
        @KafkaListener(topics = "EFFECT_DATA")
        public Object testkafka(ConsumerRecord<?, ?> consumer){
            logger.info("{} - {}:{}", consumer.topic(), consumer.key(), consumer.value());
            return  null;
        }
     
        /**
         * kafka测试发送
         * @return
         */
        @RequestMapping("/push")
        public  Object pushTest(){
            Map<String, List<JSONObject>> listMap = scheduledService.pushEffectData();
     
            for (Map.Entry<String,List<JSONObject>> listMap1:listMap.entrySet()){
     
                if(listMap1.getValue()!=null&&listMap1.getValue().size()>0){
     
                    kafkaTemplate.send(Constant.EFFECT_TPOIC,listMap1.getKey(),listMap1.getValue().toString());
                }
     
            }
     
            return  null;
        }
    }

这里使用kafkaTemplate进行消息的发送，发送的key为表名，value为一个list集合，集合中放入了很多json对象，消费者需要对生产者会提供的数据反序列化转换为list集合才可使用。

5. 控制台打印log

![20190419140845352.png][]

[20190419140845352.png]: /images/20211009/6843c4f417e7471685bccb6cffd1ab17.png