【Kafka】SpringBoot整合Kafka

1.引入依赖

        
            org.springframework.kafka
            spring-kafka
        

2.配置参数

server:
  port: 8080
spring:
  kafka:
    bootstrap-servers: 101.34.251.168:9092
    producer: # ⽣产者
      retries: 3 # 设置⼤于0的值，则客户端会将发送失败的记录重新发送
      batch-size: 16384
      buffer-memory: 33554432
      acks: 1
# 指定消息key和消息体的编解码⽅式
      key-serializer: org.apache.kafka.common.serialization.StringSerializer
      value-serializer: org.apache.kafka.common.serialization.StringSerializer
    consumer:
      group-id: default-group
      enable-auto-commit: false
      auto-offset-reset: earliest
      key-deserializer:
        org.apache.kafka.common.serialization.StringDeserializer
      value-deserializer:
        org.apache.kafka.common.serialization.StringDeserializer
      max-poll-records: 500
    listener:
  # 当每⼀条记录被消费者监听器（ListenerConsumer）处理之后提交
  # RECORD
  # 当每⼀批poll()的数据被消费者监听器（ListenerConsumer）处理之后提交
  # BATCH
  # 当每⼀批poll()的数据被消费者监听器（ListenerConsumer）处理之后，距离上次提交时间⼤于TIME时提交
  # TIME
  # 当每⼀批poll()的数据被消费者监听器（ListenerConsumer）处理之后，被处理record数量⼤于等于COUNT时提交
  # COUNT
  # TIME | COUNT　有⼀个条件满⾜时提交
  # COUNT_TIME
  # 当每⼀批poll()的数据被消费者监听器（ListenerConsumer）处理之后, ⼿动调⽤Acknowledgment.acknowledge()后提交
  # MANUAL
  # ⼿动调⽤Acknowledgment.acknowledge()后⽴即提交，⼀般使⽤这种
  # MANUAL_IMMEDIATE
      ack-mode: MANUAL_IMMEDIATE
#  redis:
#    host: 172.16.253.21

3.生产者搭建

package com.wen.kafka.controller;

import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.kafka.core.KafkaTemplate;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;

@RestController
@RequestMapping("msg")
public class ProducerController {

    @Autowired
    private KafkaTemplate kafkaTemplate;

    @RequestMapping("/send")
    public String sendMessage(){
        kafkaTemplate.send("test", "key", "msg2");
        return "Send Success";
    }

}

4.消费者搭建

package com.wen.kafka.consumer;

import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.springframework.kafka.annotation.KafkaListener;
import org.springframework.stereotype.Component;

@Component
public class Consumer {

    @KafkaListener(topics = "test", groupId = "GroupOne")
    public void listenGroup(ConsumerRecord record){
        System.out.println(record);
    }
}