移除冗余代码并优化Kafka配置
- 删除了KafkaConstants、KafkaConsumerConfig和KafkaProviderConfig类，这些类已被移动到其他项目中 -简化了KafkaConfig类，移除了其中的kafkaProducer方法，该方法已被移动到其他类中 - 在MqttTest类中更新了Kafka主题的硬编码值 - 移除了oneMse类，该类用于测试，目前不再需要 - 在ProtocolApplication的main方法中添加了一个空的System.out.println语句，用于调试或日志记录dev.carData
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package com.muyu.common.kafka.config;
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import com.muyu.common.kafka.constants.KafkaConstants;
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import org.apache.kafka.clients.consumer.KafkaConsumer;
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import org.apache.kafka.common.serialization.Deserializer;
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import org.apache.kafka.common.serialization.StringDeserializer;
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import org.springframework.beans.factory.annotation.Value;
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import org.springframework.boot.SpringBootConfiguration;
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import org.springframework.context.annotation.Bean;
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import org.springframework.context.annotation.Configuration;
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import java.util.HashMap;
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import java.util.Map;
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/**
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* kafka 消息的消费者 配置类
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*/
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@Configuration
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public class KafkaConsumerConfig {
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@Bean
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public KafkaConsumer kafkaConsumer() {
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Map<String, Object> configs = new HashMap<>();
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//kafka服务端的IP和端口,格式:(ip:port)
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configs.put("bootstrap.servers", "60.204.221.52:9092");
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//开启consumer的偏移量(offset)自动提交到Kafka
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configs.put("enable.auto.commit", true);
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//consumer的偏移量(offset) 自动提交的时间间隔,单位毫秒
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configs.put("auto.commit.interval", 5000);
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//在Kafka中没有初始化偏移量或者当前偏移量不存在情况
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//earliest, 在偏移量无效的情况下, 自动重置为最早的偏移量
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//latest, 在偏移量无效的情况下, 自动重置为最新的偏移量
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//none, 在偏移量无效的情况下, 抛出异常.
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configs.put("auto.offset.reset", "latest");
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//请求阻塞的最大时间(毫秒)
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configs.put("fetch.max.wait", 500);
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//请求应答的最小字节数
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configs.put("fetch.min.size", 1);
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//心跳间隔时间(毫秒)
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configs.put("heartbeat-interval", 3000);
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//一次调用poll返回的最大记录条数
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configs.put("max.poll.records", 500);
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//指定消费组
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configs.put("group.id", KafkaConstants.KafkaGrop);
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//指定key使用的反序列化类
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Deserializer keyDeserializer = new StringDeserializer();
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//指定value使用的反序列化类
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Deserializer valueDeserializer = new StringDeserializer();
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//创建Kafka消费者
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KafkaConsumer kafkaConsumer = new KafkaConsumer(configs, keyDeserializer, valueDeserializer);
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return kafkaConsumer;
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}
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}
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package com.muyu.common.kafka.config;
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import org.apache.kafka.clients.producer.KafkaProducer;
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import org.apache.kafka.common.serialization.Serializer;
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import org.apache.kafka.common.serialization.StringSerializer;
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import org.springframework.boot.SpringBootConfiguration;
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import org.springframework.context.annotation.Bean;
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import org.springframework.context.annotation.Configuration;
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import java.util.HashMap;
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import java.util.Map;
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/**
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* kafka 消息的生产者 配置类
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*/
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@Configuration
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public class KafkaProviderConfig {
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@Bean
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public KafkaProducer kafkaProducer() {
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Map<String, Object> configs = new HashMap<>();
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//#kafka服务端的IP和端口,格式:(ip:port)
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configs.put("bootstrap.servers", "47.116.173.119:9092");
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//客户端发送服务端失败的重试次数
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configs.put("retries", 2);
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//多个记录被发送到同一个分区时,生产者将尝试将记录一起批处理成更少的请求.
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//此设置有助于提高客户端和服务器的性能,配置控制默认批量大小(以字节为单位)
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configs.put("batch.size", 16384);
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//生产者可用于缓冲等待发送到服务器的记录的总内存字节数(以字节为单位)
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configs.put("buffer-memory", 33554432);
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//生产者producer要求leader节点在考虑完成请求之前收到的确认数,用于控制发送记录在服务端的持久化
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//acks=0,设置为0,则生产者producer将不会等待来自服务器的任何确认.该记录将立即添加到套接字(socket)缓冲区并视为已发送.在这种情况下,无法保证服务器已收到记录,并且重试配置(retries)将不会生效(因为客户端通常不会知道任何故障),每条记录返回的偏移量始终设置为-1.
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//acks=1,设置为1,leader节点会把记录写入本地日志,不需要等待所有follower节点完全确认就会立即应答producer.在这种情况下,在follower节点复制前,leader节点确认记录后立即失败的话,记录将会丢失.
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//acks=all,acks=-1,leader节点将等待所有同步复制副本完成再确认记录,这保证了只要至少有一个同步复制副本存活,记录就不会丢失.
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configs.put("acks", "-1");
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//指定key使用的序列化类
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Serializer keySerializer = new StringSerializer();
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//指定value使用的序列化类
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Serializer valueSerializer = new StringSerializer();
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//创建Kafka生产者
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KafkaProducer kafkaProducer = new KafkaProducer(configs, keySerializer, valueSerializer);
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return kafkaProducer;
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}
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}
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package com.muyu.common.kafka.constants;
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public class KafkaConstants {
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public final static String KafkaTopic = "carJsons";
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// public final static String KafkaGrop = "kafka_grop";
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}
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@ -17,7 +17,8 @@ import java.util.HashMap;
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* @Date：2024/9/28 12:19
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*/
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@Configuration
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public class KafkaConfig {
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public class
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KafkaConfig {
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@Bean
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public KafkaProducer kafkaProducer(){
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@ -1,5 +1,6 @@
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package com.muyu;
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import cn.hutool.json.JSONUtil;
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import com.muyu.common.security.annotation.EnableMyFeignClients;
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import org.mybatis.spring.annotation.MapperScan;
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import org.springframework.boot.SpringApplication;
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@ -9,7 +10,10 @@ import org.springframework.boot.autoconfigure.SpringBootApplication;
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@EnableMyFeignClients
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@SpringBootApplication
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public class ProtocolApplication {
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public static void main(String[] args) {
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System.out.println("");
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SpringApplication.run(ProtocolApplication.class, args);
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}
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}
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@ -1,73 +0,0 @@
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package com.muyu.cache.bean;
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import lombok.AllArgsConstructor;
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import lombok.Builder;
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import lombok.Data;
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import lombok.NoArgsConstructor;
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@Data
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@AllArgsConstructor
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@NoArgsConstructor
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@Builder
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public class oneMse {
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/**
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* 测试类
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*/
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private Long numther;
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/**
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* 测试类
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*/
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private Integer numthonre;
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/**
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* 测试类
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*/
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private Integer numtweh;
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/**
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* 测试类
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*/
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private String numtrwh;
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/**
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* 测试类
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*/
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private Integer numrrth;
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/**
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* 测试类
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*/
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private Integer numereth;
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/**
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* 测试类
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*/
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private String numth;
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/**
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* 测试类
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*/
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private Integer numttruh;
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/**
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* 测试类
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*/
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private Integer numtrert;
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/**
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* 测试类
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*/
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private Integer erg;
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/**
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* 测试类
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*/
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private Integer numtgreh;
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/**
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* 测试类
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*/
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private Integer rtetg;
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/**
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* 测试类
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*/
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private Integer geewr;
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/**
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* 测试类
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*/
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private Integer heertherh;
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}
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@ -1,7 +1,7 @@
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package com.muyu.mqtt;
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import com.alibaba.fastjson2.JSONObject;
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import com.muyu.common.kafka.constants.KafkaConstants;
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import com.muyu.domain.CarMessage;
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import com.muyu.domain.KafKaData;
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.build());
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}
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String jsonString = JSONObject.toJSONString(kafKaDataList);
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ProducerRecord<String, String> producerRecord = new ProducerRecord<>(KafkaConstants.KafkaTopic, jsonString);
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ProducerRecord<String, String> producerRecord = new ProducerRecord<>("carJsons",jsonString);
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kafkaProducer.send(producerRecord);
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log.info("kafka投产：{}", jsonString);
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