import java.util.Properties; import kafka.javaapi.producer.Producer;
import kafka.producer.KeyedMessage;
import kafka.producer.ProducerConfig; public class MyProducer {   public static void main(String[] args) {   Properties props = new Properties();   props.setProperty("metadata.broker.list","localhost:9092");   props.setProperty("serializer.class","kafka.serializer.StringEncoder");   props.put("request.required.acks","1");   ProducerConfig config = new ProducerConfig(props);   //创建生产这对象Producer<String, String> producer = new Producer<String, String>(config);//生成消息KeyedMessage<String, String> data = new KeyedMessage<String, String>("mykafka","test-kafka");try {   int i =1; while(i < 100){    //发送消息
                    producer.send(data);   } } catch (Exception e) {   e.printStackTrace();   }   producer.close();   }
}

import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Properties;   import kafka.consumer.ConsumerConfig;
import kafka.consumer.ConsumerIterator;
import kafka.consumer.KafkaStream;
import kafka.javaapi.consumer.ConsumerConnector;  public class MyConsumer extends Thread{ //消费者连接private final ConsumerConnector consumer;   //要消费的话题private final String topic;   public MyConsumer(String topic) {   consumer =kafka.consumer.Consumer   .createJavaConsumerConnector(createConsumerConfig());   this.topic =topic;   }   //配置相关信息private static ConsumerConfig createConsumerConfig() {   Properties props = new Properties();
//        props.put("zookeeper.connect","localhost:2181,10.XX.XX.XX:2181,10.XX.XX.XX:2181");//配置要连接的zookeeper地址与端口//The ‘zookeeper.connect’ string identifies where to find once instance of Zookeeper in your cluster.//Kafka uses ZooKeeper to store offsets of messages consumed for a specific topic and partition by this Consumer Groupprops.put("zookeeper.connect","localhost:2181");//配置zookeeper的组id (The ‘group.id’ string defines the Consumer Group this process is consuming on behalf of.)props.put("group.id", "0");//配置zookeeper连接超时间隔//The ‘zookeeper.session.timeout.ms’ is how many milliseconds Kafka will wait for //ZooKeeper to respond to a request (read or write) before giving up and continuing to consume messages.props.put("zookeeper.session.timeout.ms","10000"); //The ‘zookeeper.sync.time.ms’ is the number of milliseconds a ZooKeeper ‘follower’ can be behind the master before an error occurs.props.put("zookeeper.sync.time.ms", "200");//The ‘auto.commit.interval.ms’ setting is how often updates to the consumed offsets are written to ZooKeeper. //Note that since the commit frequency is time based instead of # of messages consumed, if an error occurs between updates to ZooKeeper on restart you will get replayed messages.props.put("auto.commit.interval.ms", "1000");return new ConsumerConfig(props);   }   public void run(){ Map<String,Integer> topickMap = new HashMap<String, Integer>();   topickMap.put(topic, 1);   Map<String, List<KafkaStream<byte[],byte[]>>>  streamMap =consumer.createMessageStreams(topickMap);   KafkaStream<byte[],byte[]>stream = streamMap.get(topic).get(0);   ConsumerIterator<byte[],byte[]> it =stream.iterator();   System.out.println("*********Results********");   while(true){   if(it.hasNext()){ //打印得到的消息   System.err.println(Thread.currentThread()+" get data:" +new String(it.next().message()));   } try {   Thread.sleep(1000);   } catch (InterruptedException e) {   e.printStackTrace();   }   }   }  public static void main(String[] args) {   MyConsumer consumerThread = new MyConsumer("mykafka");   consumerThread.start();   }
}

import kafka.consumer.ConsumerIterator;
import kafka.consumer.KafkaStream;
public class Consumer implements Runnable {private KafkaStream stream;private int threadNumber;public Consumer(KafkaStream a_stream, int a_threadNumber) {threadNumber = a_threadNumber;stream = a_stream;}public void run() {ConsumerIterator<byte[], byte[]> it = stream.iterator();while (it.hasNext())System.out.println("Thread " + threadNumber + ": " + new String(it.next().message()));System.out.println("Shutting down Thread: " + threadNumber);}
}

import kafka.consumer.ConsumerConfig;
import kafka.consumer.KafkaStream;
import kafka.javaapi.consumer.ConsumerConnector;import java.util.concurrent.*;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Properties;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;public class ConsumerGroup {private final ConsumerConnector consumer;private final String topic;private  ExecutorService executor;public ConsumerGroup(String a_zookeeper, String a_groupId, String a_topic) {consumer = kafka.consumer.Consumer.createJavaConsumerConnector(createConsumerConfig(a_zookeeper, a_groupId));this.topic = a_topic;}public void shutdown() {if (consumer != null) consumer.shutdown();if (executor != null) executor.shutdown();try {if (!executor.awaitTermination(5000, TimeUnit.MILLISECONDS)) {System.out.println("Timed out waiting for consumer threads to shut down, exiting uncleanly");}} catch (InterruptedException e) {System.out.println("Interrupted during shutdown, exiting uncleanly");}}public void run(int a_numThreads) {Map<String, Integer> topicCountMap = new HashMap<String, Integer>();topicCountMap.put(topic, new Integer(a_numThreads));Map<String, List<KafkaStream<byte[], byte[]>>> consumerMap = consumer.createMessageStreams(topicCountMap);List<KafkaStream<byte[], byte[]>> streams = consumerMap.get(topic);// now launch all the threads//
        executor = Executors.newFixedThreadPool(a_numThreads);// now create an object to consume the messages//
        int threadNumber = 0;for (final KafkaStream stream : streams) {executor.submit(new Consumer(stream, threadNumber));threadNumber++;}}private static ConsumerConfig createConsumerConfig(String a_zookeeper, String a_groupId) {Properties props = new Properties();props.put("zookeeper.connect", a_zookeeper);props.put("group.id", a_groupId);props.put("zookeeper.session.timeout.ms", "400");props.put("zookeeper.sync.time.ms", "200");props.put("auto.commit.interval.ms", "1000");return new ConsumerConfig(props);}public static void main(String[] args) {String zooKeeper = "localhost:2181";String groupId = "0";String topic = "mykafka";int threads = 2;  //启动的线程数
 ConsumerGroup group = new ConsumerGroup(zooKeeper, groupId, topic);group.run(threads);try {Thread.sleep(10000);} catch (InterruptedException ie) {}group.shutdown();}
}