springboot整合kafka

Springboot整合Kafka

1.下载kafka

启动

java 复制代码
	1.zookeeper-server-start.bat ..\..\config\zookeeper.properties
	2.kafka-server-start.bat ..\..\config\server.properties
 	3.kafka-server-stop.bat
 	4.zookeeper-server-stop.bat
 

2.引入依赖

复制代码
        <dependency>
            <groupId>org.springframework.kafka</groupId>
            <artifactId>spring-kafka</artifactId>
        </dependency>

3.消息实体

java 复制代码
package com.example.kafka;

import java.util.Date;

public class KafkaMessage
{
	private long id;
	private String username;
	private String password;
	private Date date;

	public long getId()
	{
		return id;
	}

	public void setId(long id)
	{
		this.id = id;
	}

	public String getUsername()
	{
		return username;
	}

	public void setUsername(String username)
	{
		this.username = username;
	}

	public String getPassword()
	{
		return password;
	}

	public void setPassword(String password)
	{
		this.password = password;
	}

	public Date getDate()
	{
		return date;
	}

	public void setDate(Date date)
	{
		this.date = date;
	}
}

4.生产者

java 复制代码
package com.example.kafka;

import com.alibaba.fastjson.JSONObject;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.kafka.core.KafkaTemplate;
import org.springframework.stereotype.Component;


@Component
public class KafkaProducer
{
	@Autowired
	private KafkaTemplate<String,String> kafkaTemplate;

	public KafkaTemplate<String, String> getKafkaTemplate()
	{
		return kafkaTemplate;
	}

	public void setKafkaTemplate(KafkaTemplate<String, String> kafkaTemplate)
	{
		this.kafkaTemplate = kafkaTemplate;
	}

	public void sendKafkaMessage(KafkaMessage message)
	{
		kafkaTemplate.send("myTopic", JSONObject.toJSONString(message));
	}

}

5.消费者

java 复制代码
package com.example.kafka;

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

@Component
public class KafkaConsumer
{

	@KafkaListener(topics = "myTopic", groupId = "myGroup")
	public void obtainMessage(ConsumerRecord<String, String> consumerRecord)
	{
		System.out.println("obtainMessage invoked");
		String topic = consumerRecord.topic();
		String key = consumerRecord.key();
		String value = consumerRecord.value();
		long timestamp = consumerRecord.timestamp();
		int partition = consumerRecord.partition();
		System.out.println("topic:" + topic);
		System.out.println("key:" + key);
		System.out.println("value:" + value);
		System.out.println("timestamp:" + timestamp);
		System.out.println("partition:" + partition);
		System.out.println("=======================");
	}
}

5.controller测试

java 复制代码
package com.example.controller;

import com.example.kafka.KafkaMessage;
import com.example.kafka.KafkaProducer;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.http.MediaType;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestMethod;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;

import java.text.SimpleDateFormat;
import java.util.Date;

@RestController
@RequestMapping(value = "/kafka")
public class KafkaController
{
	SimpleDateFormat simpleDateFormat = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");

	@Autowired
	private KafkaProducer kafkaProducer;

	@RequestMapping(value = "message", method = RequestMethod.GET)
	public KafkaMessage sendKafkaMessage(@RequestParam(name = "id") long id, @RequestParam(name = "username") String username,
			@RequestParam(name = "password") String password)
	{
		KafkaMessage kafkaMessage = new KafkaMessage();
		kafkaMessage.setId(id);
		kafkaMessage.setUsername(username);
		kafkaMessage.setPassword(password);
		kafkaMessage.setDate(new Date());
		kafkaProducer.sendKafkaMessage(kafkaMessage);
		return kafkaMessage;
	}
}
相关推荐
2401_8242568610 分钟前
Spark-Streaming
大数据·分布式·spark
胡耀超25 分钟前
附1:深度解读:《金融数据安全 数据安全分级指南》——数据分类的艺术专栏系列
大数据·金融·数据治理·生命周期·数据分类·政策法规
合新通信 | 让光不负所托28 分钟前
【合新通信】浸没式液冷光模块与冷媒兼容性测试技术报告
大数据·网络·光纤通信
元6331 小时前
spark和hadoop之间的对比和联系
大数据·hadoop·spark
来自星星的猫教授1 小时前
spring,spring boot, spring cloud三者区别
spring boot·spring·spring cloud
cooldream20091 小时前
深入解析大数据的Lambda架构:设计、特点与应用场景
大数据·架构·系统架构师
知其_所以然2 小时前
如何使用@KafkaListener实现从nacos中动态获取监听的topic
kafka
淋一遍下雨天2 小时前
Spark-Streaming核心编程
大数据·kafka
jack xu12 小时前
高频面试题:如何保证数据库和es数据一致性
java·大数据·数据库·mysql·elasticsearch
乌夷3 小时前
使用spring boot vue 上传mp4转码为dash并播放
vue.js·spring boot·dash