SpringBoot如何整合kafka集群

接上一篇--linux安装zookeeper、kafka ：https://blog.csdn.net/pyd1040201698/article/details/103749798

目录结构

pom依赖

    <parent>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-parent</artifactId>
        <version>2.0.1.RELEASE</version>
    </parent>
    <dependencies>
        <!-- springBoot集成kafka -->
        <dependency>
            <groupId>org.springframework.kafka</groupId>
            <artifactId>spring-kafka</artifactId>
        </dependency>
        <!-- SpringBoot整合Web组件 -->
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-web</artifactId>
        </dependency>
    </dependencies>

application.yml

# kafka
spring:
  kafka:
    # kafka服务器地址(可以多个)
    bootstrap-servers: 192.168.144.169:9092,192.168.144.170:9092,192.168.144.171:9092
    consumer:
      # 指定一个默认的组名
      group-id: kafka2
      # earliest:当各分区下有已提交的offset时，从提交的offset开始消费；无提交的offset时，从头开始消费
      # latest:当各分区下有已提交的offset时，从提交的offset开始消费；无提交的offset时，消费新产生的该分区下的数据
      # none:topic各分区都存在已提交的offset时，从offset后开始消费；只要有一个分区不存在已提交的offset，则抛出异常
      auto-offset-reset: earliest
      # key/value的反序列化
      key-deserializer: org.apache.kafka.common.serialization.StringDeserializer
      value-deserializer: org.apache.kafka.common.serialization.StringDeserializer
    producer:
      # key/value的序列化
      key-serializer: org.apache.kafka.common.serialization.StringSerializer
      value-serializer: org.apache.kafka.common.serialization.StringSerializer
      # 批量抓取
      batch-size: 65536
      # 缓存容量
      buffer-memory: 524288
      # 服务器地址
      bootstrap-servers: 192.168.144.169:9092,192.168.144.170:9092,192.168.144.171:9092

KafkaController

package com.mayikt;

import org.apache.kafka.clients.consumer.ConsumerRecord;

import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.kafka.annotation.KafkaListener;
import org.springframework.kafka.core.KafkaTemplate;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;

/**
 * 
 * @author 余胜军
 */
@RestController
@SpringBootApplication
public class KafkaController {

	/**
	 * 注入kafkaTemplate
	 */
	@Autowired
	private KafkaTemplate<String, String> kafkaTemplate;

	/**
	 * 发送消息的方法
	 *
	 * @param key
	 *            推送数据的key
	 * @param data
	 *            推送数据的data
	 */
	private void send(String key, String data) {
		// topic 名称 key data 消息数据
		kafkaTemplate.send("test", key, data);

	}
	// test 主题 1 my_test 3

	@RequestMapping("/kafka")
	public String testKafka() {
		int iMax = 6;
		for (int i = 1; i < iMax; i++) {
			send("key" + i, "data" + i);
		}
		return "success";
	}

	public static void main(String[] args) {
		SpringApplication.run(KafkaController.class, args);
	}

	/**
	 * 消费者使用日志打印消息
	 */

	@KafkaListener(topics = "test")
	public void receive(ConsumerRecord<?, ?> consumer) {
		System.out.println("topic名称:" + consumer.topic() + ",key:" +
				consumer.key() + "," +
				"分区位置:" + consumer.partition()
				+ ", 下标" + consumer.offset());
	}

}

用topic:test 测试下

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