啟動：

./kafka-server-start.sh ../config/server.properties

建立topic

./kafka-topics.sh –create –zookeeper localhost:2182 –replication-factor 1 –partitions 1 –topic mytopic

檢視topic

./kafka-topics.sh –list –zookeeper localhost:2182

刪除topic

kafka-topics.sh –delete –zookeeper localhost:2182 –topic mytopic

傳送訊息：

./kafka-console-producer.sh –broker-list localhost:9092 –topic mytopic

接收訊息：

./kafka-console-consumer.sh –zookeeper localhost:2182 –topic mytopic –from-beginning

生產者Demo

//可同時建立多個組進行資料消費，不同組使用不同資料即可。保證叢集效能。

//設定方法：  props.put("group.id", "jd-group2");
//            props.put("group.id", "jd-group3");
 


package com.demo.ec2.test.kafka;
import java.util.Properties;

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

public class KafkaProducer 
{
    private final Producer<String, String> producer;
    public final static String TOPIC = "CUSTOMERACTIVITY"
 
;

    private KafkaProducer(){
        Properties props = new Properties();
        props.put("metadata.broker.list", "1.1.238.82:9092");
        props.put("serializer.class", "kafka.serializer.StringEncoder");
        props.put("key.serializer.class", "kafka.serializer.StringEncoder");
        props.put("request.required.acks","-1");

        producer = new Producer<String, String>(new ProducerConfig(props));
    }

    void produce() {
        int messageNo = 1000;
        final int COUNT = 10000;

        while (messageNo < COUNT) {
            String key = String.valueOf(messageNo);
            String data = "hello kafka message " + key;
            producer.send(new KeyedMessage<String, String>(TOPIC, key ,data));
            messageNo ++;
        }
    }

    public static void main( String[] args )
    {
        new KafkaProducer().produce();
    }
}

消費者Demo

package com.demo.ec2.test.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;

    private KafkaConsumer() {
        Properties props = new Properties();
        props.put("zookeeper.connect", "1.1.238.82:2181");
        props.put("group.id", "jd-group");
        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");
        props.put("serializer.class", "kafka.serializer.StringEncoder");
        ConsumerConfig config = new ConsumerConfig(props);
        consumer = kafka.consumer.Consumer.createJavaConsumerConnector(config);
    }

    void consume() {
        Map<String, Integer> topicCountMap = new HashMap<String, Integer>();
        topicCountMap.put(KafkaProducer.TOPIC, 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(KafkaProducer.TOPIC).get(0);
        ConsumerIterator<String, String> it = stream.iterator();
        while (it.hasNext())
            System.out.println(it.next().message());
    }

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