Kafka消息处理集群测试用例

package cn.hadoop.hdfs.conf;

/**
 * @Date Apr 28, 2015
 *
 * @Author huxin
 *
 * @Note Set param path
 */
public class ConfigureAPI {

    public interface KafkaProperties {
        public final static String ZK = "10.211.55.15:2181,10.211.55.17:2181,10.211.55.18:2181";
        public final static String GROUP_ID = "test_group1";
        public final static String TOPIC = "test2";
        public final static String BROKER_LIST = "10.211.55.15:9092,10.211.55.17:9092,10.211.55.18:9092";
        public final static int BUFFER_SIZE = 64 * 1024;
        public final static int TIMEOUT = 20000;
        public final static int INTERVAL = 10000;
    }

}


package cn.hadoop.hdfs.kafka;

import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Properties;

import cn.hadoop.hdfs.conf.ConfigureAPI.KafkaProperties;
import kafka.consumer.Consumer;
import kafka.consumer.ConsumerConfig;
import kafka.consumer.ConsumerIterator;
import kafka.consumer.KafkaStream;
import kafka.javaapi.consumer.ConsumerConnector;

/**
 * @Date May 22, 2015
 *
 * @Author dengjie
 *
 * @Note Kafka Consumer
 */
public class JConsumer extends Thread {

    private ConsumerConnector consumer;
    private String topic;
    private final int SLEEP = 1000 * 3;

    public JConsumer(String topic) {
        consumer = Consumer.createJavaConsumerConnector(this.consumerConfig());
        this.topic = topic;
    }

    private ConsumerConfig consumerConfig() {
        Properties props = new Properties();
        props.put("zookeeper.connect", KafkaProperties.ZK);
        props.put("group.id", KafkaProperties.GROUP_ID);
        props.put("zookeeper.session.timeout.ms", "40000");
        props.put("zookeeper.sync.time.ms", "200");
        props.put("auto.commit.interval.ms", "1000");
        return new ConsumerConfig(props);
    }

    @Override
    public void run() {
        Map topicCountMap = new HashMap();
        topicCountMap.put(topic, new Integer(1));
        Map>> consumerMap = consumer.createMessageStreams(topicCountMap);
        KafkaStream stream = consumerMap.get(topic).get(0);
        ConsumerIterator it = stream.iterator();
        while (it.hasNext()) {
            System.out.println("Receive->[" + new String(it.next().message()) + "]");
            try {
                sleep(SLEEP);
            } catch (Exception ex) {
                ex.printStackTrace();
            }
        }
    }

}


package cn.hadoop.hdfs.kafka;

import java.util.Properties;

import kafka.javaapi.producer.Producer;
import kafka.producer.KeyedMessage;
import kafka.producer.ProducerConfig;

/**
 * @Date May 22, 2015
 *
 * @Author dengjie
 *
 * @Note Kafka JProducer
 */
public class JProducer extends Thread {

    private Producer producer;
    private String topic;
    private Properties props = new Properties();
    private final int SLEEP = 1000 * 3;

    public JProducer(String topic) {
        props.put("serializer.class", "kafka.serializer.StringEncoder");
        props.put("metadata.broker.list", "10.211.55.18:9092");
        producer = new Producer(new ProducerConfig(props));
        this.topic = topic;
    }

    @Override
    public void run() {
        int offsetNo = 1;
        while (true) {
            String msg = new String("Message_" + offsetNo);
            System.out.println("Send->[" + msg + "]");
            producer.send(new KeyedMessage(topic, msg));
            offsetNo++;
            try {
                sleep(SLEEP);
            } catch (Exception ex) {
                ex.printStackTrace();
            }
        }
    }

}

package cn.hadoop.hdfs.kafka.client;

import cn.hadoop.hdfs.conf.ConfigureAPI.KafkaProperties;
import cn.hadoop.hdfs.kafka.JConsumer;
import cn.hadoop.hdfs.kafka.JProducer;

/**
 * @Date May 22, 2015
 *
 * @Author dengjie
 *
 * @Note To run Kafka Code
 */
public class KafkaClient {

    public static void main(String[] args) {
        JProducer pro = new JProducer(KafkaProperties.TOPIC);
        pro.start();

        JConsumer con = new JConsumer(KafkaProperties.TOPIC);
        con.start();
    }

}