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5 Commits
server_fiv
...
server_fiv
Author | SHA1 | Date |
---|---|---|
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42da762c53 | |
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81632a5679 | |
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c5fbb65b62 | |
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deece927c5 | |
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70f3d0ecc9 |
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@ -8,6 +8,7 @@ import org.springframework.cloud.openfeign.FeignClient;
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import org.springframework.web.bind.annotation.PostMapping;
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import org.springframework.web.bind.annotation.RequestBody;
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@FeignClient(contextId = "remoteTroubleService" ,
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value = ServiceNameConstants.BUSINESS_SERVICE,
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fallbackFactory = RemoteTroubleFallbackFactory.class
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@ -22,4 +23,11 @@ public interface RemoteTroubleService {
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@PostMapping("/trouble/newFaultData")
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public Result<?> newFaultData(@RequestBody CoupletTroubleCode code);
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/**
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* 修改故障码
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* @param trouble
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* @return
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*/
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@PostMapping("/trouble/updEndTime")
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public int updEndTime(@RequestBody CoupletTroubleCode trouble);
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}
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@ -8,6 +8,7 @@ import org.slf4j.LoggerFactory;
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import org.springframework.cloud.openfeign.FallbackFactory;
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import org.springframework.stereotype.Component;
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/**
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* @author fufanrui
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* @version 1.0
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@ -26,9 +27,13 @@ public class RemoteTroubleFallbackFactory implements FallbackFactory<RemoteTroub
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@Override
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public Result<?> newFaultData(CoupletTroubleCode code) {
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return Result.error("调用失败...."+cause.getMessage());
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return Result.error("调用失败...." + cause.getMessage());
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}
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@Override
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public int updEndTime(CoupletTroubleCode trouble) {
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return 0;
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}
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};
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}
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}
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@ -80,6 +80,7 @@
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<groupId>com.couplet</groupId>
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<artifactId>couplet-common-swagger</artifactId>
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</dependency>
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<!-- 事件核心配置 -->
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<dependency>
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<groupId>com.couplet</groupId>
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@ -98,7 +99,6 @@
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<artifactId>couplet-common-business</artifactId>
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</dependency>
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</dependencies>
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</project>
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@ -20,7 +20,7 @@ public class CoupletMsgApplication {
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public static void main(String[] args) {
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SpringApplication.run(CoupletMsgApplication.class);
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System.out.println("解析系统启动成功");
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new ModelsKafkaMessage().initKafkaConsumer();
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// new ModelsKafkaMessage().initKafkaConsumer();
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}
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@ -38,7 +38,7 @@ import static java.lang.Thread.sleep;
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@Component
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@Slf4j
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public class ModelsKafkaMessage {
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private static final String TOPIC_NAME = "topic_lyh";
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private static final String TOPIC_NAME = "topic_dxd";
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private static final String BOOTSTRAP_SERVERS = "39.103.133.136:9092";
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@ -52,23 +52,20 @@ public class ModelsKafkaMessage {
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private AnalyzeEventCache analyzeEventCache;
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//kafka消费者初始化
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@PostConstruct
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public void initKafkaConsumer() {
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Properties props = new Properties();
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props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, BOOTSTRAP_SERVERS);
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// props.put(ConsumerConfig.GROUP_ID_CONFIG, "my-consumer-group");
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props.put(ConsumerConfig.GROUP_ID_CONFIG, "group");
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props.put(ConsumerConfig.GROUP_ID_CONFIG, "fbab");
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props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.StringDeserializer");
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props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.StringDeserializer");
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//消费者
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consumer = new KafkaConsumer<>(props);
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//订阅主题
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consumer.subscribe(Collections.singletonList(TOPIC_NAME));
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this.consumerMessages();
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}
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@ -86,6 +83,8 @@ public class ModelsKafkaMessage {
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public void consumer() {
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try {
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//订阅主题
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consumer.subscribe(Collections.singletonList(TOPIC_NAME));
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//持续消费消息
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while (true) {
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@ -1,6 +1,5 @@
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package com.couplet.analyze.msg.service.impl;
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import com.alibaba.fastjson.JSON;
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import com.couplet.analyze.common.contents.AnalyzeEventContents;
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import com.couplet.analyze.msg.contents.StateConstant;
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import com.couplet.analyze.msg.domain.CoupletMsgData;
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@ -80,13 +79,18 @@ public class BreakdownServiceImpl extends KeyExpirationEventMessageListener impl
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long expireTime = 30;
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redisService.expire(key, expireTime, TimeUnit.MINUTES);
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scheduledRedis();
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// long timeMillis = System.currentTimeMillis();
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// log.info("故障事件结束时间:"+timeMillis);
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// log.info("故障事件检测结束.....");
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}else {
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long timeMillis = System.currentTimeMillis();
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CoupletTroubleCode troubleCode = new CoupletTroubleCode();
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troubleCode.setTroubleEndTime(new Date());
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troubleCode.setTroubleVin(coupletMsgData.getVin());
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remoteTroubleService.updEndTime(troubleCode);
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log.info("故障事件结束时间:"+timeMillis);
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log.info("故障事件检测结束.....");
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log.info("故障事件结束.....");
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}
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long timeMillis = System.currentTimeMillis();
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log.info("故障事件结束时间:"+timeMillis);
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log.info("故障事件结束.....");
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}
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/**
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@ -105,6 +109,7 @@ public class BreakdownServiceImpl extends KeyExpirationEventMessageListener impl
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for (CoupletMsgData member : members) {
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Set<String> breakdownIds = redisService.getCacheSet(member.getVin()+":"+key);
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if (breakdownIds.size()==0){
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//异步执行任务的方法,它可以在后台执行一个无返回值的异步操作。该方法接受一个 Runnable 类型的参数,用于指定要执行的任务
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CompletableFuture.runAsync(() -> {
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CoupletTroubleCode troubleCode = new CoupletTroubleCode();
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troubleCode.setTroubleStartTime(new Date());
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@ -251,7 +256,7 @@ public class BreakdownServiceImpl extends KeyExpirationEventMessageListener impl
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break;
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}
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remoteTroubleService.newFaultData(troubleCode);
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});
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});
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redisService.setCacheSet(member.getVin()+":"+key, member.getVin()+":"+member);
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long expireTime = 30;
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redisService.expire(member.getVin()+":"+key, expireTime, TimeUnit.MINUTES);
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@ -49,7 +49,7 @@ public class ElectronicFenceServiceImpl implements IncidentService {
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log.info("电子围栏事件redis存在.......");
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for (Fence fence : cacheSet) {
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String fenceLongitudeLatitude = fence.getFenceLongitudeLatitude();
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if (StringUtils.isEmpty(fenceLongitudeLatitude)){
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if (!StringUtils.isEmpty(fenceLongitudeLatitude)){
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/**
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* 先通过;后切割
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*/
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@ -5,6 +5,9 @@ import lombok.extern.slf4j.Slf4j;
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import java.math.BigDecimal;
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import java.nio.charset.StandardCharsets;
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import java.time.Instant;
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import java.time.LocalDateTime;
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import java.time.ZoneId;
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import java.util.ArrayList;
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import java.util.Date;
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import java.util.List;
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@ -19,6 +22,16 @@ import java.util.Random;
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@Slf4j
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public class MsgUtils {
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public static Date convertMillisToDate(long millis) {
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Instant instant = Instant.ofEpochMilli(millis);
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LocalDateTime localDateTime = LocalDateTime.ofInstant(instant, ZoneId.systemDefault());
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return Date.from(localDateTime.atZone(ZoneId.systemDefault()).toInstant());
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}
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/**
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* 生成GTA
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* @return
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*/
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public static String generateGTA() {
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// 生成四位以"GTA"开头的字符串
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String prefix = "GTA";
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@ -1,5 +1,10 @@
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package com.couplet.msg;
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import java.time.Instant;
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import java.time.LocalDateTime;
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import java.time.ZoneId;
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import java.time.format.DateTimeFormatter;
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import java.util.Date;
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import java.util.Random;
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import java.util.regex.Matcher;
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import java.util.regex.Pattern;
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@ -12,17 +17,14 @@ import java.util.regex.Pattern;
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*/
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public class Main {
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public static void main(String[] args) {
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// 创建一个字符串数组存储三个状态
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String[] statuses = {"电池故障", "车体故障", "车尾故障","抽轮故障"};
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// 生成随机数对象
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Random rand = new Random();
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// 生成一个范围在 0 到 2 之间的随机整数
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int randomIndex = rand.nextInt(4);
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// 随机选择一个字符串并输出
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String randomStatus = statuses[randomIndex];
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System.out.println("随机输出的字符串:" + randomStatus);
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long timeMillis = System.currentTimeMillis();
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Date date = new Date(timeMillis);
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System.out.println(date);
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}
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// private static Date convertMillisToDate(long millis) {
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// Instant instant = Instant.ofEpochMilli(millis);
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// LocalDateTime localDateTime = LocalDateTime.ofInstant(instant, ZoneId.systemDefault());
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// return Date.from(localDateTime.atZone(ZoneId.systemDefault()).toInstant());
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// }
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}
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@ -14,6 +14,7 @@ import org.springframework.beans.factory.annotation.Autowired;
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import org.springframework.validation.annotation.Validated;
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import org.springframework.web.bind.annotation.*;
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import java.util.Date;
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import java.util.List;
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/**
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@ -97,9 +98,9 @@ public class SysTroubleController extends BaseController {
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/**
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* 查询故障的状态并处理
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*/
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@PostMapping("/getUpdState")
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public Result<?> getUpdState(@RequestBody CoupletTroubleCode code) {
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int updateState = troubleService.updateState(code);
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return Result.success(updateState);
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@PostMapping("/updEndTime")
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public int updEndTime(@RequestBody CoupletTroubleCode trouble) {
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int i = troubleService.updEndTime(trouble);
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return i;
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}
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}
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@ -6,7 +6,9 @@ import com.couplet.common.domain.CoupletTroubleGrade;
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import com.couplet.common.domain.request.TroubleResp;
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import org.apache.ibatis.annotations.Mapper;
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import org.apache.ibatis.annotations.Param;
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import java.util.Date;
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import java.util.List;
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/**
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@ -30,5 +32,7 @@ public interface SysTroubleMapper extends BaseMapper<CoupletTroubleCode> {
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void cleanTroubleCode();
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int updateState(CoupletTroubleCode code);
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int updEndTime(CoupletTroubleCode trouble);
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List<CoupletTroubleCode> selectMaxTime();
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}
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@ -6,6 +6,7 @@ import com.couplet.common.domain.CoupletTroubleCode;
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import com.couplet.common.domain.CoupletTroubleGrade;
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import com.couplet.common.domain.request.TroubleResp;
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import java.util.Date;
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import java.util.List;
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/**
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@ -27,5 +28,5 @@ public interface SysTroubleService extends IService<CoupletTroubleCode> {
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void cleanTroubleCode();
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int updateState(CoupletTroubleCode code);
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int updEndTime(CoupletTroubleCode trouble);
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}
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@ -12,6 +12,7 @@ import com.github.pagehelper.PageInfo;
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import org.springframework.beans.factory.annotation.Autowired;
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import org.springframework.stereotype.Service;
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import java.util.Date;
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import java.util.List;
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/**
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@ -60,11 +61,17 @@ public class SysTroubleServiceImpl extends ServiceImpl<SysTroubleMapper, Couplet
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/**
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* 获取故障状态
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* @param code
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* @param trouble
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* @return
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*/
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@Override
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public int updateState(CoupletTroubleCode code) {
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public int updEndTime(CoupletTroubleCode trouble) {
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// 查询表中最大时间
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List<CoupletTroubleCode> maxTime = sysTroubleMapper.selectMaxTime();
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// 然后将结束时间改成当前时间
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if (maxTime != null) {
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sysTroubleMapper.updEndTime(trouble);
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}
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return 0;
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}
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@ -26,10 +26,11 @@
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<update id="cleanTroubleCode">
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truncate table couplet_trouble_code
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</update>
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<update id="updateState">
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update couplet_trouble_code set processing_state = 1 where thourble_id = #{troubleId}
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<update id="updEndTime">
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update couplet_trouble_code set trouble_end_time = #{troubleEndTime} where trouble_vin = #{troubleVin}
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</update>
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<select id="selectTroubleList" parameterType="com.couplet.business.server.mapper.SysTroubleMapper" resultMap="SysTroubleResult">
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<include refid="selectTroubleVo"/>
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<where>
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@ -45,5 +46,8 @@
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<select id="selectTroubleListByGrade" resultType="com.couplet.common.domain.CoupletTroubleGrade">
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select * from couplet_trouble_grade
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</select>
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<select id="selectMaxTime" resultType="com.couplet.common.domain.CoupletTroubleCode">
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select max(trouble_start_time) from couplet_trouble_code
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</select>
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</mapper>
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@ -1,93 +1,93 @@
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//package com.couplet.mq.controller;
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//
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//import lombok.extern.slf4j.Slf4j;
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//import org.apache.kafka.clients.consumer.ConsumerConfig;
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//import org.apache.kafka.clients.consumer.ConsumerRecords;
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//import org.apache.kafka.clients.consumer.KafkaConsumer;
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//import org.apache.kafka.clients.producer.KafkaProducer;
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//import org.apache.kafka.clients.producer.ProducerConfig;
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//import org.apache.kafka.clients.producer.ProducerRecord;
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//
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//import javax.annotation.PostConstruct;
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//import java.time.Duration;
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//import java.util.Collections;
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//import java.util.Properties;
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//
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///**
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// * @ProjectName: five-groups-couplet
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// * @Author: LiuYunHu
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// * @CreateTime: 2024/4/4
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// * @Description: kafka测试类
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// */
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//
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//@Slf4j
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//public class KafkaTest {
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// private static final String TOPIC_NAME = "online";
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// private static final String BOOTSTRAP_SERVERS = "39.103.133.136:9092";
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//
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// public static void main(String[] args) {
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||||
// //生产者示例
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//// produceMessage();
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//
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||||
// //消费者示例
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//// consumerMessages();
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||||
//
|
||||
// }
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//
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||||
// //生产者
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||||
// @PostConstruct
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||||
// private static void produceMessage() {
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// Properties props = new Properties();
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// props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, BOOTSTRAP_SERVERS);
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// props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.StringSerializer");
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// props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.StringSerializer");
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//
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// KafkaProducer<String, String> producer = new KafkaProducer<>(props);
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||||
// //创建生产者
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||||
// try {
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||||
//
|
||||
// //发送消息
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||||
// for (int i = 0; i < 10000; i++) {
|
||||
// String message = "佳佳来喽" + (i + 1);
|
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// producer.send(new ProducerRecord<>(TOPIC_NAME, message));
|
||||
//
|
||||
// System.out.println("发送消息:" + message);
|
||||
// }
|
||||
// } catch (Exception e) {
|
||||
// e.printStackTrace();
|
||||
// } finally {
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||||
// producer.close();
|
||||
// }
|
||||
// }
|
||||
//
|
||||
// //消费者
|
||||
//// private static void consumerMessages() {
|
||||
//// Properties props = new Properties();
|
||||
//// props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, BOOTSTRAP_SERVERS);
|
||||
//// props.put(ConsumerConfig.GROUP_ID_CONFIG, "my-consumer-group");
|
||||
//// props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.StringDeserializer");
|
||||
//// props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.StringDeserializer");
|
||||
////
|
||||
//// //创建消费者
|
||||
//// KafkaConsumer<String, String> consumer = new KafkaConsumer<>(props);
|
||||
////
|
||||
//// try {
|
||||
////
|
||||
//// //订阅主题
|
||||
//// consumer.subscribe(Collections.singletonList(TOPIC_NAME));
|
||||
////
|
||||
//// //持续消费消息
|
||||
//// while (true) {
|
||||
//// ConsumerRecords<String, String> records = consumer.poll(Duration.ofMillis(100));
|
||||
//// records.forEach(record -> {
|
||||
//// System.out.println("消费者接受到的消息值:" + record.value());
|
||||
//// });
|
||||
//// }
|
||||
//// } catch (Exception e) {
|
||||
//// e.printStackTrace();
|
||||
//// } finally {
|
||||
//// consumer.close();
|
||||
//// }
|
||||
//// }
|
||||
//
|
||||
//}
|
||||
package com.couplet.mq.controller;
|
||||
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.apache.kafka.clients.consumer.ConsumerConfig;
|
||||
import org.apache.kafka.clients.consumer.ConsumerRecords;
|
||||
import org.apache.kafka.clients.consumer.KafkaConsumer;
|
||||
import org.apache.kafka.clients.producer.KafkaProducer;
|
||||
import org.apache.kafka.clients.producer.ProducerConfig;
|
||||
import org.apache.kafka.clients.producer.ProducerRecord;
|
||||
|
||||
import javax.annotation.PostConstruct;
|
||||
import java.time.Duration;
|
||||
import java.util.Collections;
|
||||
import java.util.Properties;
|
||||
|
||||
/**
|
||||
* @ProjectName: five-groups-couplet
|
||||
* @Author: LiuYunHu
|
||||
* @CreateTime: 2024/4/4
|
||||
* @Description: kafka测试类
|
||||
*/
|
||||
|
||||
@Slf4j
|
||||
public class KafkaTest {
|
||||
private static final String TOPIC_NAME = "topic_dxd";
|
||||
private static final String BOOTSTRAP_SERVERS = "39.103.133.136:9092";
|
||||
|
||||
public static void main(String[] args) {
|
||||
//生产者示例
|
||||
// produceMessage();
|
||||
|
||||
//消费者示例
|
||||
consumerMessages();
|
||||
|
||||
}
|
||||
|
||||
//生产者
|
||||
@PostConstruct
|
||||
private static void produceMessage() {
|
||||
Properties props = new Properties();
|
||||
props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, BOOTSTRAP_SERVERS);
|
||||
props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.StringSerializer");
|
||||
props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.StringSerializer");
|
||||
|
||||
KafkaProducer<String, String> producer = new KafkaProducer<>(props);
|
||||
//创建生产者
|
||||
try {
|
||||
|
||||
//发送消息
|
||||
for (int i = 0; i < 10000; i++) {
|
||||
String message = "佳佳来喽" + (i + 1);
|
||||
producer.send(new ProducerRecord<>(TOPIC_NAME, message));
|
||||
|
||||
System.out.println("发送消息:" + message);
|
||||
}
|
||||
} catch (Exception e) {
|
||||
e.printStackTrace();
|
||||
} finally {
|
||||
producer.close();
|
||||
}
|
||||
}
|
||||
|
||||
//消费者
|
||||
private static void consumerMessages() {
|
||||
Properties props = new Properties();
|
||||
props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, BOOTSTRAP_SERVERS);
|
||||
props.put(ConsumerConfig.GROUP_ID_CONFIG, "my-consumer-group");
|
||||
props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.StringDeserializer");
|
||||
props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.StringDeserializer");
|
||||
|
||||
//创建消费者
|
||||
KafkaConsumer<String, String> consumer = new KafkaConsumer<>(props);
|
||||
|
||||
try {
|
||||
|
||||
//订阅主题
|
||||
consumer.subscribe(Collections.singletonList(TOPIC_NAME));
|
||||
|
||||
//持续消费消息
|
||||
while (true) {
|
||||
ConsumerRecords<String, String> records = consumer.poll(Duration.ofMillis(100));
|
||||
records.forEach(record -> {
|
||||
System.out.println("消费者接受到的消息值:" + record.value());
|
||||
});
|
||||
}
|
||||
} catch (Exception e) {
|
||||
e.printStackTrace();
|
||||
} finally {
|
||||
consumer.close();
|
||||
}
|
||||
}
|
||||
|
||||
}
|
||||
|
|
|
@ -76,7 +76,7 @@ public class MqttMonitor {
|
|||
|
||||
|
||||
//Kafka生产者配置
|
||||
private static final String TOPIC_NAME = "topic_lhy";
|
||||
private static final String TOPIC_NAME = "topic_dxd";
|
||||
private static final String BOOTSTRAP_SERVERS = "39.103.133.136:9092";
|
||||
|
||||
//线程池,用于异步处理消息到来时的业务逻辑
|
||||
|
|
Loading…
Reference in New Issue