添加kafka
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pom.xml
5
pom.xml
@ -75,6 +75,11 @@
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</dependency>
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<!-- session share end -->
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<dependency>
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<groupId>org.springframework.kafka</groupId>
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<artifactId>spring-kafka</artifactId>
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</dependency>
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<dependency>
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<groupId>junit</groupId>
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<artifactId>junit</artifactId>
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@ -0,0 +1,57 @@
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package cn.com.tenlion.usercenter.kafka;
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import cn.com.tenlion.usercenter.service.teammembergrid.ITeamMemberGridService;
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import com.alibaba.fastjson.JSON;
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import com.alibaba.fastjson.JSONObject;
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import org.apache.kafka.clients.consumer.ConsumerRecord;
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import org.springframework.beans.factory.annotation.Autowired;
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import org.springframework.context.ApplicationEventPublisher;
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import org.springframework.context.ApplicationEventPublisherAware;
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import org.springframework.data.mongodb.core.MongoTemplate;
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import org.springframework.kafka.annotation.KafkaListener;
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import org.springframework.stereotype.Component;
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/**
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* @ClassName: KafKaPublishConsumer
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* @Description: kafka消费者
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* @Author: wanggeng
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* @Date: 2021/12/23 10:06 AM
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* @Version: 1.0
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*/
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@Component
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public class KafKaPublishConsumer implements ApplicationEventPublisherAware {
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private ApplicationEventPublisher applicationEventPublisher;
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@Autowired
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private ITeamMemberGridService teamMemberGridService;
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private MongoTemplate mongoTemplate;
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public KafKaPublishConsumer(MongoTemplate mongoTemplate) {
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this.mongoTemplate = mongoTemplate;
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}
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@KafkaListener(topics = {"C0021"})
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public void gridMember(ConsumerRecord<?, ?> record) {
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JSONObject publishObject = JSON.parseObject(record.value().toString());
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System.out.println("收到消息:" + publishObject.toJSONString());
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}
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@KafkaListener(topics = {"C0022"})
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public void mapGrid(ConsumerRecord<?, ?> record) {
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JSONObject publishObject = JSON.parseObject(record.value().toString());
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System.out.println("收到消息:" + publishObject.toJSONString());
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}
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@KafkaListener(topics = {"C0023"})
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public void mapGridPoint(ConsumerRecord<?, ?> record) {
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JSONObject publishObject = JSON.parseObject(record.value().toString());
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System.out.println("收到消息:" + publishObject.toJSONString());
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}
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@Override
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public void setApplicationEventPublisher(ApplicationEventPublisher applicationEventPublisher) {
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this.applicationEventPublisher = applicationEventPublisher;
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}
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}
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@ -0,0 +1,17 @@
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package cn.com.tenlion.usercenter.pojo.dtos.kafka;
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/**
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* @ClassName: SyncTableDTO
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* @Description:
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* @Author: wanggeng
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* @Date: 2021/12/23 12:34 PM
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* @Version: 1.0
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*/
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public class SyncDataDTO<T> {
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private String uid;
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private String tableNumber;
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private String action;
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private String
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}
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package cn.com.tenlion.usercenter.service.grid.impl;
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import ink.wgink.interfaces.map.IGridSaveAfterHandler;
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import org.json.JSONObject;
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import org.springframework.beans.factory.annotation.Autowired;
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import org.springframework.kafka.core.KafkaTemplate;
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import org.springframework.stereotype.Service;
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/**
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* @ClassName: GridSaveAfterHandlerImpl
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* @Description: 网格新增
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* @Author: wanggeng
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* @Date: 2021/12/23 11:27 AM
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* @Version: 1.0
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*/
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@Service
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public class GridSaveAfterHandlerImpl implements IGridSaveAfterHandler {
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@Autowired
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private KafkaTemplate kafkaTemplate;
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@Override
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public void handle(String gridId, String gridCode, String gridName, String fillColor, String areaCode, String areaName) {
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JSONObject gridJSONObject = new JSONObject();
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gridJSONObject.put("uid", gridId);
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gridJSONObject.put("action", "save");
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}
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}
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@ -67,6 +67,27 @@ spring:
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max-wait: 1ms
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max-idle: 8
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min-idle: 0
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kafka:
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bootstrap-servers: 192.168.0.156:9093
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producer:
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# 写入失败时,重试次数。当leader节点失效,一个repli节点会替代成为leader节点,此时可能出现写入失败,
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# 当retris为0时,produce不会重复。retirs重发,此时repli节点完全成为leader节点,不会产生消息丢失。
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retries: 0
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#procedure要求leader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,其值可以为如下:
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#acks = 0 如果设置为零,则生产者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,并且重试配置将不会生效(因为客户端通常不会知道任何故障),为每条记录返回的偏移量始终设置为-1。
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#acks = 1 这意味着leader会将记录写入其本地日志,但无需等待所有副本服务器的完全确认即可做出回应,在这种情况下,如果leader在确认记录后立即失败,但在将数据复制到所有的副本服务器之前,则记录将会丢失。
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#acks = all 这意味着leader将等待完整的同步副本集以确认记录,这保证了只要至少一个同步副本服务器仍然存活,记录就不会丢失,这是最强有力的保证,这相当于acks = -1的设置。
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#可以设置的值为:all, -1, 0, 1
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acks: 1
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consumer:
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group-id: SmartCity
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# smallest和largest才有效,如果smallest重新0开始读取,如果是largest从logfile的offset读取。一般情况下我们都是设置smallest
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auto-offset-reset: earliest
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# 设置自动提交offset
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enable-auto-commit: true
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# 如果'enable.auto.commit'为true,则消费者偏移自动提交给Kafka的频率(以毫秒为单位),默认值为5000。
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auto-commit-interval: 100
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max-poll-records: 5
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mybatis:
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config-location: classpath:mybatis/mybatis-config.xml
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