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<String, String> producer = new Producer<String, String>(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<String, String>("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<String, Integer> topicCountMap = new HashMap<String, Integer>();
topicCountMap.put(topic, 2);

Map<String, List<KafkaStream<byte[], byte[]>>> consumerMap = consumer.createMessageStreams(topicCountMap);
List<KafkaStream<byte[], 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();

}
}
}