1、环境说明：

   OS:redhat6.5 ,cloudera-mamager5.7 ，zookeeper-3.4.5  ,kafka-0.9.0

2、kafka的配置：

 zookeeper和kafka都是默认配置 

3、引用的包：

4、producer程序：

package com.kafka;
import java.text.SimpleDateFormat;
import java.util.Date;
import java.util.Properties;
import java.util.concurrent.TimeUnit;
import kafka.javaapi.producer.Producer;
import kafka.producer.KeyedMessage;
import kafka.producer.ProducerConfig;
import kafka.serializer.StringEncoder;
public class KafkaProducer extends Thread{
private String topic;  
public KafkaProducer(String topic){  
super();  
this.topic = topic;  
}  
@Override  
public void run() {  
Producer<Integer, String> producer = createProducer();  
int i=0;  
SimpleDateFormat df = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");//设置日期格式
while(true){  
producer.send(new KeyedMessage<Integer, String>(topic, "时间："+ df.format(new Date())+",message: " + i++)); 
System.out.println("发送时间："+ df.format(new Date())+",message: " + i);
try {  
TimeUnit.SECONDS.sleep(1);  
} catch (InterruptedException e) {  
e.printStackTrace();  
}  
}  
}  
private Producer<Integer, String> createProducer() {  
Properties properties = new Properties();  
properties.put("zookeeper.connect", "10.2.46.129:2181,10.2.46.130:2181,10.2.46.131:2181");//zookeeper安装在机器IP
properties.put("serializer.class", StringEncoder.class.getName());  
properties.put("metadata.broker.list", "10.2.46.131:9092");// kafka安装的机器IP
return new Producer<Integer, String>(new ProducerConfig(properties));  
}  

public static void main(String[] args) {  
  new KafkaProducer("333").start();// 使用kafka集群中创建好的主题 
} 
}

5、consumer程序：

package com.kafka;
import java.text.SimpleDateFormat;
import java.util.Arrays;
import java.util.Date;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Properties;
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.apache.kafka.clients.consumer.ConsumerRecords;
import org.apache.kafka.clients.consumer.KafkaConsumer;
import org.apache.kafka.common.TopicPartition;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import kafka.consumer.Consumer;
import kafka.consumer.ConsumerConfig;
import kafka.consumer.ConsumerIterator;
import kafka.consumer.KafkaStream;
import kafka.javaapi.consumer.ConsumerConnector;

public class KafkaConsumerEx {
private static final Logger logger = LoggerFactory.getLogger(KafkaConsumerEx.class);
public static void main(String[] args) {  
KafkaConsumerEx kc =new KafkaConsumerEx();
kc.testConsumer();
} 
public void testConsumer()
{
b("333");
}
private void b(String topic)
{
ConsumerConnector consumer = createConsumer();  
Map<String, Integer> topicCountMap = new HashMap<String, Integer>();  
topicCountMap.put(topic, 1); // 一次从主题中获取一个数据  
Map<String, List<KafkaStream<byte[], byte[]>>>messageStreams = consumer.createMessageStreams(topicCountMap);  
KafkaStream<byte[], byte[]> stream = messageStreams.get(topic).get(0);// 获取每次接收到的这个数据  
ConsumerIterator<byte[], byte[]> iterator =  stream.iterator();  
SimpleDateFormat df = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");//设置日期格式
while(iterator.hasNext()){  
String message = new String(iterator.next().message());  
System.out.println("接收到时间："+ df.format(new Date())+",message: " + message);
}  
}

private ConsumerConnector createConsumer() {  
Properties props = new Properties();  
props.put("zookeeper.connect", "10.2.46.129:2181,10.2.46.130:2181,10.2.46.131:2181/kafka");//声明zk  
props.put("group.id", "555");  
return Consumer.createJavaConsumerConnector(new ConsumerConfig(props));  
}  

}