kafka消息中间件及java示例

package cn.outofmemory.kafka;

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;
import kafka.serializer.StringDecoder;
import kafka.utils.VerifiableProperties;

public class KafkaConsumer {

private final ConsumerConnector consumer;

public KafkaConsumer() {
Properties props = new Properties();
//zookeeper 配置
props.put("zookeeper.connect", "192.168.91.231:2181");
//group 代表一个消费组
props.put("group.id", "jd-group");

//zk连接超时
props.put("zookeeper.session.timeout.ms", "4000");
props.put("zookeeper.sync.time.ms", "200");
props.put("auto.commit.interval.ms", "1000");
props.put("auto.offset.reset", "smallest");
//序列化类
props.put("serializer.class", "kafka.serializer.StringEncoder");
ConsumerConfig config = new ConsumerConfig(props);
consumer = kafka.consumer.Consumer.createJavaConsumerConnector(config);
}

public void consume() {
Map<String, Integer> topicCountMap = new HashMap<String, Integer>();
topicCountMap.put("panteng", new Integer(1));

StringDecoder keyDecoder = new StringDecoder(new VerifiableProperties());
StringDecoder valueDecoder = new StringDecoder(new VerifiableProperties());

Map<String, List<KafkaStream<String, String>>> consumerMap =
consumer.createMessageStreams(topicCountMap,keyDecoder,valueDecoder);
KafkaStream<String, String> stream = consumerMap.get("panteng").get(0);
ConsumerIterator<String, String> it = stream.iterator();
while (it.hasNext())
System.out.println(it.next().message());
}

public void stop(){
try {
consumer.shutdown();
} catch (Exception e) {
// TODO: handle exception
e.printStackTrace();
}

}
public static void main(String[] args) {
new KafkaConsumer().consume();
}
}