首先自行安装docker，通过docker容器安装kafka
CentOS 系统 docker安装地址
1.pom.xml和application.properties或者application.yml文件配置
<dependency><groupId>org.springframework.kafka</groupId><artifactId>spring-kafka</artifactId>
</dependency>spring:kafka:bootstrap-servers: [fafka地址1,fafka地址2,....]
# producer序列化设置producer:#key序列化设置，设置成json对象
# key-serializer: org.springframework.kafka.support.serializer.JsonSerializer
# val序列化设置，设置成json对象value-serializer: org.springframework.kafka.support.serializer.JsonSerializer
2.博主安装了kafka ui插件，就直接创建主题了
当前一个集群，因为博主只搭建了一台服务器，也可以称为一个节点
创建主题
没有安装kafka ui，就再main那里启动项目时创建
package com.atguigu.boot3_08_kafka;import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.kafka.annotation.EnableKafka;
import org.springframework.kafka.config.TopicBuilder;@EnableKafka //扫描kafka注解,开启基于注解的模式
@SpringBootApplication
public class Boot308KafkaApplication {public static void main(String[] args) {SpringApplication.run(Boot308KafkaApplication.class, args);TopicBuilder.name("my-new-topic")//主题.partitions(3)//分区.replicas(2)//副本.build();}}
副本就是备份，有几节点就可以创建几个副本，副本数量一般采取分区数量-1，只有一个节点就N分区1副本
3.在main 加上这个注解@EnableKafka
package com.atguigu.boot3_08_kafka;import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.kafka.annotation.EnableKafka;@EnableKafka //扫描kafka注解,开启基于注解的模式
@SpringBootApplication
public class Boot308KafkaApplication {public static void main(String[] args) {SpringApplication.run(Boot308KafkaApplication.class, args);}}
4.生产者发送消息
package com.atguigu.boot3_08_kafka.controller;import com.atguigu.boot3_08_kafka.entity.Person;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.kafka.core.KafkaTemplate;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RestController;@RestController
public class KafkaController {@Autowiredprivate KafkaTemplate kafkaTemplate;@GetMapping("/jjj") public String hello() {kafkaTemplate.send("tach", 0,"hello","急急急132");//send("主题", 分区号,"key","val")return "ok";}@GetMapping("/odj")public String odj() {kafkaTemplate.send("tach", 0,"hello",new Person(1L,"odj",19));//对象json需要序列化，可用配置文件配置，也可以在对象中序列化对象return "OK";}
}
5.消费者监听消息
package com.atguigu.boot3_08_kafka.listener;import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.springframework.kafka.annotation.KafkaListener;
import org.springframework.kafka.annotation.PartitionOffset;
import org.springframework.kafka.annotation.TopicPartition;
import org.springframework.stereotype.Component;@Component
public class MykafkaListener {/*** 默认的监听是从最后一个消息开始拿，也就是只会拿新消息，不会拿历史的* @KafkaListener(topics = "主题",groupId = "用户组")* ConsumerRecord 消费者从 Kafka 获取消息的各种元数据和实际的消息* @param record*/@KafkaListener(topics = "tach",groupId = "teach")public void listen(ConsumerRecord<?, ?> record) {Object key = record.key();Object val = record.value();System.out.println("收到值key:"+key+"收到值val:"+val);}/*** 想要到历史的消息或者全部消息，只能设置偏移量* @KafkaListener(groupId = "用户组" ,topicPartitions = {设置分区,设置偏移量})* @TopicPartition(topic = "主题" ,partitionOffsets 设置偏移量)* @PartitionOffset(partition = "哪个分区", initialOffset = "从第几个偏移量开始")** @param record*/@KafkaListener(groupId = "teach" ,topicPartitions = {@TopicPartition(topic = "tach" ,partitionOffsets = {@PartitionOffset(partition = "0", initialOffset = "0")})})public void listens(ConsumerRecord<?, ?> record) {Object key = record.key();Object val = record.value();System.out.println("收到值key:"+key+"收到值val:"+val);}
}
最后查看结果
最后补充一个小知识
groupId = "用户组"
组里的成员是竞争模式
用户组和用户组之间是发布/订阅模式
由zookeeper分配管理
好了可以和面试官吹牛逼了
课外话
如果是传对象json需要序列化，创建对象时序列化，不推荐太原始重要是很占资源
因为开始我们都配置好了，有对象就会自动序列化
package com.atguigu.boot3_08_kafka.entity;import lombok.AllArgsConstructor;
import lombok.Data;
import lombok.NoArgsConstructor;import java.io.Serializable;@AllArgsConstructor
@NoArgsConstructor
@Data
public class Person implements Serializable {//不推荐implements Serializable private Long id;private String name;private Integer age;
}
