kafka producer consumer

package demo;

import java.util.Properties;

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

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

    private producer() {
        Properties props = new Properties();
        // 此处配置的是kafka的端口
        props.put("metadata.broker.list", "192.168.152.20:9092");

        // 配置value的序列化类
        props.put("serializer.class", "kafka.serializer.StringEncoder");
        // 配置key的序列化类
        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 = 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));
            System.out.println(data);
            messageNo++;
        }
    }

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

package demo;

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

import org.apache.kafka.clients.producer.KafkaProducer;

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 consumer {
    private final ConsumerConnector consumer;

    private consumer() {
        Properties props = new Properties();
        //zookeeper 配置
        props.put("zookeeper.connect", "192.168.152.20:2181");

        //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);
    }

    void consume() {
        Map<String, Integer> topicCountMap = new HashMap<String, Integer>();
        topicCountMap.put(producer.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(producer.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 consumer().consume();
    }
}

其中,zookeeper的地址,在kafka config/consummer.properties的目录下,要配置下