优化并更改kafka实现方式

cloud-common/cloud-common-kafka/pom.xml

@@ -25,8 +25,9 @@
         </dependency>
 
         <dependency>
-            <groupId>org.springframework.kafka</groupId>
+            <groupId>org.apache.kafka</groupId>
-            <artifactId>spring-kafka</artifactId>
+            <artifactId>kafka-clients</artifactId>
+            <version>3.0.0</version>
         </dependency>
 
     </dependencies>

cloud-common/cloud-common-kafka/src/main/java/com/muyu/common/kafka/config/KafkaConsumerConfig.java

@@ -0,0 +1,54 @@
+package com.muyu.common.kafka.config;
+
+import com.muyu.common.kafka.constants.KafkaConstants;
+import org.apache.kafka.clients.consumer.KafkaConsumer;
+import org.apache.kafka.common.serialization.Deserializer;
+import org.apache.kafka.common.serialization.StringDeserializer;
+import org.springframework.beans.factory.annotation.Value;
+import org.springframework.boot.SpringBootConfiguration;
+import org.springframework.context.annotation.Bean;
+import org.springframework.context.annotation.Configuration;
+
+import java.util.HashMap;
+import java.util.Map;
+
+/**
+ * kafka 消息的消费者 配置类
+ */
+@Configuration
+public class KafkaConsumerConfig {
+
+    @Bean
+    public KafkaConsumer kafkaConsumer() {
+        Map<String, Object> configs = new HashMap<>();
+        //kafka服务端的IP和端口,格式:(ip:port)
+        configs.put("bootstrap.servers", "47.116.173.119:9092");
+        //开启consumer的偏移量(offset)自动提交到Kafka
+        configs.put("enable.auto.commit", true);
+        //consumer的偏移量(offset) 自动提交的时间间隔,单位毫秒
+        configs.put("auto.commit.interval", 5000);
+        //在Kafka中没有初始化偏移量或者当前偏移量不存在情况
+        //earliest, 在偏移量无效的情况下, 自动重置为最早的偏移量
+        //latest, 在偏移量无效的情况下, 自动重置为最新的偏移量
+        //none, 在偏移量无效的情况下, 抛出异常.
+        configs.put("auto.offset.reset", "latest");
+        //请求阻塞的最大时间(毫秒)
+        configs.put("fetch.max.wait", 500);
+        //请求应答的最小字节数
+        configs.put("fetch.min.size", 1);
+        //心跳间隔时间(毫秒)
+        configs.put("heartbeat-interval", 3000);
+        //一次调用poll返回的最大记录条数
+        configs.put("max.poll.records", 500);
+        //指定消费组
+        configs.put("group.id", KafkaConstants.KafkaGrop);
+        //指定key使用的反序列化类
+        Deserializer keyDeserializer = new StringDeserializer();
+        //指定value使用的反序列化类
+        Deserializer valueDeserializer = new StringDeserializer();
+        //创建Kafka消费者
+        KafkaConsumer kafkaConsumer = new KafkaConsumer(configs, keyDeserializer, valueDeserializer);
+        return kafkaConsumer;
+    }
+
+}

cloud-common/cloud-common-kafka/src/main/java/com/muyu/common/kafka/config/KafkaProducerConfig.java

@@ -1,45 +0,0 @@
-package com.muyu.common.kafka.config;
-
-
-import org.apache.kafka.clients.producer.ProducerConfig;
-import org.apache.kafka.common.serialization.StringSerializer;
-import org.springframework.context.annotation.Bean;
-import org.springframework.context.annotation.Configuration;
-import org.springframework.kafka.core.KafkaTemplate;
-import org.springframework.kafka.core.ProducerFactory;
-import org.springframework.kafka.core.DefaultKafkaProducerFactory;
-
-import java.util.HashMap;
-import java.util.Map;
-
-/**
- * @Author: 胡杨
- * @Name: KafkaProducerConfig
- * @Description: kafka生产者配置类
- * @CreatedDate: 2024/9/27 下午7:38
- * @FilePath: com.muyu.common.kafka.config
- * kafka生产者配置类
- */
-@Configuration
-public class KafkaProducerConfig {
-
-    @Bean
-    public ProducerFactory<String, Object> producerFactory() {
-        Map<String, Object> configProps = new HashMap<>();
-        configProps.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, "47.116.173.119:9092");
-        configProps.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
-        configProps.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
-        // 添加事务相关的配置
-        configProps.put(ProducerConfig.ENABLE_IDEMPOTENCE_CONFIG, true);
-        configProps.put(ProducerConfig.ACKS_CONFIG, "all");
-        configProps.put(ProducerConfig.RETRIES_CONFIG, Integer.MAX_VALUE);
-        configProps.put(ProducerConfig.TRANSACTIONAL_ID_CONFIG, "transactionalId");
-
-        return new DefaultKafkaProducerFactory<>(configProps);
-    }
-
-    @Bean
-    public KafkaTemplate<String, Object> kafkaTemplate() {
-        return new KafkaTemplate<>(producerFactory());
-    }
-}

cloud-common/cloud-common-kafka/src/main/java/com/muyu/common/kafka/config/KafkaProviderConfig.java

@@ -0,0 +1,45 @@
+package com.muyu.common.kafka.config;
+
+import org.apache.kafka.clients.producer.KafkaProducer;
+import org.apache.kafka.common.serialization.Serializer;
+import org.apache.kafka.common.serialization.StringSerializer;
+import org.springframework.boot.SpringBootConfiguration;
+import org.springframework.context.annotation.Bean;
+import org.springframework.context.annotation.Configuration;
+
+import java.util.HashMap;
+import java.util.Map;
+
+/**
+ * kafka 消息的生产者 配置类
+ */
+@Configuration
+public class KafkaProviderConfig {
+
+    @Bean
+    public KafkaProducer kafkaProducer() {
+        Map<String, Object> configs = new HashMap<>();
+        //#kafka服务端的IP和端口,格式:(ip:port)
+        configs.put("bootstrap.servers", "47.116.173.119:9092");
+        //客户端发送服务端失败的重试次数
+        configs.put("retries", 2);
+        //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.
+        //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)
+        configs.put("batch.size", 16384);
+        //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)
+        configs.put("buffer-memory", 33554432);
+        //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
+        //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.
+        //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.
+        //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.
+        configs.put("acks", "-1");
+        //指定key使用的序列化类
+        Serializer keySerializer = new StringSerializer();
+        //指定value使用的序列化类
+        Serializer valueSerializer = new StringSerializer();
+        //创建Kafka生产者
+        KafkaProducer kafkaProducer = new KafkaProducer(configs, keySerializer, valueSerializer);
+        return kafkaProducer;
+    }
+
+}

cloud-common/cloud-common-kafka/src/main/java/com/muyu/common/kafka/constants/KafkaConstants.java

@@ -1,7 +1,5 @@
 package com.muyu.common.kafka.constants;
 
-import org.springframework.beans.factory.annotation.Value;
-
 /**
  * @Author: 胡杨
  * @date: 2024/7/10

cloud-common/cloud-common-kafka/src/main/resources/META-INF/spring/org.springframework.boot.autoconfigure.AutoConfiguration.imports

@@ -1 +1,2 @@
-com.muyu.common.kafka.config.KafkaProducerConfig
+com.muyu.common.kafka.config.KafkaConsumerConfig
+com.muyu.common.kafka.config.KafkaProviderConfig

cloud-data-processing/src/main/java/com/muyu/data/processing/MyDataApplication.java

@@ -16,7 +16,7 @@ import org.springframework.boot.autoconfigure.jdbc.DataSourceAutoConfiguration;
  * @FilePath: com.muyu.data.processing
  */
 
-
+@EnableMyFeignClients
 @SpringBootApplication
 public class MyDataApplication {
     public static void main(String[] args) {

cloud-data-processing/src/main/java/com/muyu/data/processing/controller/TestController.java

@@ -1,19 +1,21 @@
 package com.muyu.data.processing.controller;
 
 
+import com.alibaba.fastjson.JSONObject;
 import com.muyu.common.kafka.constants.KafkaConstants;
+import com.muyu.data.processing.domain.IotDbData;
 import com.muyu.data.processing.domain.req.TestReq;
 import com.muyu.data.processing.domain.resp.TestResp;
 import com.muyu.data.processing.strategy.root.RootStrategy;
 import jakarta.annotation.Resource;
-import org.springframework.kafka.core.KafkaTemplate;
+import org.apache.kafka.clients.producer.KafkaProducer;
-import org.springframework.messaging.MessageHeaders;
+import org.apache.kafka.clients.producer.ProducerRecord;
 import org.springframework.transaction.annotation.Transactional;
 import org.springframework.web.bind.annotation.*;
 import lombok.extern.slf4j.Slf4j;
-import org.springframework.messaging.Message;
 
 /**
+ * 测试控制层
  * @Author: 胡杨
  * @Name: Test
  * @Description:
@@ -25,13 +27,22 @@ import org.springframework.messaging.Message;
 @RequestMapping("/Test")
 public class TestController {
     @Resource
-    private KafkaTemplate<String,Object> kafkaTemplate;
+    private KafkaProducer<String,String> kafkaProducer;
 
     @GetMapping("/testKafka")
-    @Transactional
     public void sendMsg(@RequestParam("msg") String msg) {
         try {
-            kafkaTemplate.send(KafkaConstants.KafkaTopic, msg).get();
+            IotDbData iotDbData = IotDbData.builder()
+                    .timestamp(System.currentTimeMillis())
+                    .vin("vin666")
+                    .key("test")
+                    .label("测试数据")
+                    .value("Kafka测试")
+                    .type("String")
+                    .build();
+            String jsonString = JSONObject.toJSONString(iotDbData);
+            ProducerRecord<String, String> producerRecord = new ProducerRecord<>(KafkaConstants.KafkaTopic, jsonString);
+            kafkaProducer.send(producerRecord);
             System.out.println("同步消息发送成功: " + msg);
         } catch (Exception e) {
             e.printStackTrace();

cloud-data-processing/src/main/java/com/muyu/data/processing/kafka/KafkaConsumerService.java

@@ -1,11 +1,22 @@
 package com.muyu.data.processing.kafka;
 
 
+import cn.hutool.core.thread.ThreadUtil;
+import cn.hutool.json.JSONUtil;
+import com.alibaba.nacos.shaded.com.google.common.collect.Lists;
 import com.muyu.common.kafka.constants.KafkaConstants;
+import com.muyu.data.processing.domain.IotDbData;
+import jakarta.annotation.Resource;
 import lombok.extern.slf4j.Slf4j;
-import org.springframework.kafka.annotation.KafkaListener;
+import org.apache.kafka.clients.consumer.ConsumerRecord;
+import org.apache.kafka.clients.consumer.ConsumerRecords;
+import org.apache.kafka.clients.consumer.KafkaConsumer;
+import org.springframework.beans.factory.InitializingBean;
 import org.springframework.stereotype.Component;
 
+import java.time.Duration;
+import java.util.Collection;
+
 /**
  * @Author: 胡杨
  * @Name: KafkaConsumerService
@@ -16,10 +27,29 @@ import org.springframework.stereotype.Component;
 
 @Slf4j
 @Component
-public class KafkaConsumerService {
+public class KafkaConsumerService implements InitializingBean {
+    @Resource
+    private KafkaConsumer kafkaConsumer;
 
-    @KafkaListener(topics = {KafkaConstants.KafkaTopic}, groupId = KafkaConstants.KafkaGrop)
+    @Override
-    public void listen(String msg) {
+    public void afterPropertiesSet() throws Exception {
-        log.info("kafka 消费消息：{}", msg);
+        Thread thread = new Thread(() -> {
+            log.info("启动线程监听Topic: {}", KafkaConstants.KafkaTopic);
+            ThreadUtil.sleep(1000);
+            Collection<String> topics = Lists.newArrayList(KafkaConstants.KafkaTopic);
+            kafkaConsumer.subscribe(topics);
+            while (true) {
+                ConsumerRecords<String, String> consumerRecords = kafkaConsumer.poll(Duration.ofMillis(1000));
+                for (ConsumerRecord consumerRecord : consumerRecords) {
+                    //1.从ConsumerRecord中获取消费数据
+                    String originalMsg = (String) consumerRecord.value();
+                    log.info("从Kafka中消费的原始数据: " + originalMsg);
+                    //2.把消费数据转换为DTO对象
+                    IotDbData iotDbData = JSONUtil.toBean(originalMsg, IotDbData.class);
+                    log.info("消费数据转换为DTO对象: " + iotDbData.toString());
+                }
+            }
+        });
+        thread.start();
     }
 }