kafka生产者消费者示例代码

 package com.unimas.test;
 
import java.util.Properties;
 
import kafka.javaapi.producer.Producer;
 import kafka.producer.KeyedMessage;
import kafka.producer.ProducerConfig;
 
 public class ProducerDemo {
     public static void main(String[] args) throws Exception {
         Properties props = new Properties();
         props.put("zk.connect", "11.11.165.81:2181,11.11.165.82:2181,11.11.165.83:2181");
        props.put("metadata.broker.list","11.11.165.81:6667,11.11.165.82:6667,11.11.165.83:6667");
        props.put("serializer.class", "kafka.serializer.StringEncoder");
        ProducerConfig cOnfig= new ProducerConfig(props);
        Producer producer = new Producer(config);

        // 发送业务消息
        // 读取文件 读取内存数据库 读socket端口
        for (int i = 1; i <= 100; i++) {

             Thread.sleep(500);

             producer.send(new KeyedMessage("ANALYSIS-RM-SCREEN",
                     "kafka is a perfect message queue system  ----"+ i));
        }

     }
 }

 package com.unimas.test;
 
 import java.util.HashMap;
import java.util.List;
 import java.util.Map;
 import java.util.Properties;
 
 import kafka.consumer.Consumer;
 import kafka.consumer.ConsumerConfig;
import kafka.consumer.KafkaStream;
import kafka.javaapi.consumer.ConsumerConnector;
import kafka.message.MessageAndMetadata;

public class ConsumerDemo {
    private static final String topic = "ANALYSIS-RM-SCREEN";
    private static final Integer threads = 1;

    public static void main(String[] args) {
        
        Properties props = new Properties();
        props.put("zookeeper.connect", "f14cp-kf1-02:2181,f14cp-kf1-03:2181,f14cp-kf1-04:2181");
        props.put("group.id", "2222");
        props.put("auto.offset.reset", "smallest");

        ConsumerConfig cOnfig= new ConsumerConfig(props);
        
        ConsumerConnector cOnsumer=Consumer.createJavaConsumerConnector(config);
        Map topicCountMap = new HashMap();
        topicCountMap.put(topic, 2);

        Mapbyte[], byte[]>>> cOnsumerMap= consumer.createMessageStreams(topicCountMap);
        Listbyte[], byte[]>> streams = consumerMap.get(topic);
        
        for(final KafkaStream<byte[], byte[]> kafkaStream : streams){
            new Thread(new Runnable() {
                @Override
                public void run() {
                    for(MessageAndMetadata<byte[], byte[]> mm : kafkaStream){
                        String msg = new String(mm.message());
                        
                        System.out.println(msg);
                    }
                }
            
            }).start();
        
        }
    }
}