springboot1.5.2集成kafka的简单例子

compile("org.springframework.kafka:spring-kafka:1.1.2.RELEASE")

#kafka
# 指定kafka 代理地址，可以多个
spring.kafka.bootstrap-servers=192.168.59.130:9092,192.168.59.131:9092,192.168.59.132:9092
# 指定默认消费者group id
spring.kafka.consumer.group-id=myGroup
# 指定默认topic id
spring.kafka.template.default-topic= my-replicated-topic
# 指定listener 容器中的线程数，用于提高并发量
spring.kafka.listener.cOncurrency= 3
# 每次批量发送消息的数量
spring.kafka.producer.batch-size= 1000

package cn.xiaojf.today.data.kafka.configuration;

import org.springframework.context.annotation.Configuration;
import org.springframework.kafka.annotation.EnableKafka;

/**
 * kafka 配置
 * @author xiaojf 2017/3/24 14:09
 */
@Configuration
@EnableKafka
public class KafkaConfiguration {


}

package cn.xiaojf.today.data.kafka.producer;

import org.apache.kafka.clients.producer.Producer;
import org.apache.kafka.clients.producer.RecordMetadata;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.kafka.core.KafkaOperations;
import org.springframework.kafka.core.KafkaTemplate;
import org.springframework.kafka.support.ProducerListener;
import org.springframework.stereotype.Component;

/**
 * 消息生产者
 * @author xiaojf 2017/3/24 14:36
 */
@Component
public class MsgProducer {
 @Autowired
 private KafkaTemplate kafkaTemplate;

 public void send() {
  kafkaTemplate.send("my-replicated-topic","xiaojf");
  kafkaTemplate.send("my-replicated-topic","xiaojf");

  kafkaTemplate.metrics();

  kafkaTemplate.execute(new KafkaOperations.ProducerCallback() {
   @Override
   public Object doInKafka(Producer producer) {
    //这里可以编写kafka原生的api操作
    return null;
   }
  });

  //消息发送的监听器，用于回调返回信息
  kafkaTemplate.setProducerListener(new ProducerListener() {
   @Override
   public void onSuccess(String topic, Integer partition, String key, String value, RecordMetadata recordMetadata) {

   }

   @Override
   public void onError(String topic, Integer partition, String key, String value, Exception exception) {

   }

   @Override
   public boolean isInterestedInSuccess() {
    return false;
   }
  });
 }
}

package cn.xiaojf.today.data.kafka.consumer;

import org.springframework.kafka.annotation.KafkaListener;
import org.springframework.stereotype.Component;

/**
 * 消息消费者
 * @author xiaojf 2017/3/24 14:36
 */
@Component
public class MsgConsumer {
 @KafkaListener(topics = {"my-replicated-topic","my-replicated-topic2"})
 public void processMessage(String content) {
  System.out.println(content);
 }


}