Kafka 生產者消費者java示例代碼

[Java]代碼    

package com.cz.producer;

/**
 * Created by Administrator on 2015/10/10.
 */
import java.util.Properties;

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

/**
 * Hello world!
 *
 */
public class KafkaProducer
{
    private final Producer<String, String> producer;
    public final static String TOPIC = "com.cz.service.map.entryCity";

    private KafkaProducer(){
        Properties props = new Properties();
        //
        props.put("metadata.broker.list", "192.168.0.208:9092");

        //????value?????л???
        props.put("serializer.class", "kafka.serializer.StringEncoder");
        //????key?????л???
        props.put("key.serializer.class", "kafka.serializer.StringEncoder");

        //request.required.acks
        //0, which means that the producer never waits for an acknowledgement from the broker (the same behavior as 0.7). This option provides the lowest latency but the weakest durability guarantees (some data will be lost when a server fails).
        //1, which means that the producer gets an acknowledgement after the leader replica has received the data. This option provides better durability as the client waits until the server acknowledges the request as successful (only messages that were written to the now-dead leader but not yet replicated will be lost).
        //-1, which means that the producer gets an acknowledgement after all in-sync replicas have received the data. This option provides the best durability, we guarantee that no messages will be lost as long as at least one in sync replica remains.
        props.put("request.required.acks","-1");

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

    void produce() {
        int messageNo = 2000;
        final int COUNT = 2100;

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

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

[Java]代碼    

package com.cz.producer;

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;

/**
 * Created by Administrator on 2015/10/10.
 */
public class KafkaConsumer {

    private final ConsumerConnector consumer;

    private KafkaConsumer() {
        Properties props = new Properties();
        //zookeeper 配置
        props.put("zookeeper.connect", "192.168.0.208:2181");

        //group 代表一個消費組
        props.put("group.id", "jd-group");

        // 連接zk的session超時時間
        props.put("zookeeper.session.timeout.ms", "4000");
        props.put("zookeeper.sync.time.ms", "200");//zk follower落后于zk leader的最長時間        props.put("auto.commit.interval.ms", "1000");//往zookeeper上寫offset的頻率        props.put("auto.offset.reset", "smallest");//如果offset出了返回，則 smallest: 自動設置reset到最小的offset. largest : 自動設置offset到最大的offset. 其它值不允許，會拋出異常        
        //序列化類 
        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();
    }
}