创建Kafka0.8.2生产者与消费者

一、下载安装Kafka0.8.2

二、vi config/server.properties

三、修改为advertised.host.name=192.168.1.76

四、rm -rf  /tmp *移除临时目录下的文件

五、修改vi /etc/hosts中的127.0.0.1为192.168.1.76

六、开启zookeeper 

bin/zookeeper-server-start.sh config/zookeeper.properties

七、开启kafka

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

八、创建主题

bin/kafka-topics.sh --create --zookeeper 192.168.1.76:2181 --replication-factor 1 --partitions 1 --topic mytesttopic

九、开启消费者

bin/kafka-console-consumer.sh --zookeeper 192.168.1.76:2181 --topic mytesttopic --from-beginning 回车

十、生产者代码（0.8.2.1的jar包）

import java.util.*;

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

public class SimpleProducer {
    public static void main(String[] args) {
        Properties properties = new Properties();
        properties.put("bootstrap.servers", "192.168.1.76:9092");
        properties.put("metadata.broker.list", "192.168.1.76:9092");
        properties.put("key.serializer", "org.apache.kafka.common.serialization.StringSerializer");
        properties.put("serializer.class", "kafka.serializer.StringEncoder");
        properties.put("value.serializer", "org.apache.kafka.common.serialization.StringSerializer");
        properties.put("request.required.acks", "1");

        KafkaProducer<Integer, String> producer = new KafkaProducer<Integer, String>(properties);
        for (int iCount = 0; iCount < 100; iCount++) {
            String message = "My Test Message No " + iCount;
            ProducerRecord<Integer, String> record = new ProducerRecord<Integer, String>("mytesttopic", message);
            producer.send(record);
        }
        producer.close();
    }
}

十一、查看结果

 

 

My Test Message No 0
My Test Message No 1
My Test Message No 2
My Test Message No 3
My Test Message No 4
My Test Message No 5
My Test Message No 6
My Test Message No 7
My Test Message No 8
My Test Message No 9
My Test Message No 10

...................

..................

十、消费者代码（0.8.2.1的jar包）

 

import kafka.consumer.ConsumerConfig;
import kafka.consumer.ConsumerIterator;
import kafka.consumer.KafkaStream;
import kafka.serializer.StringDecoder;
import kafka.utils.VerifiableProperties;
import java.util.*;
public class SimpleConsumerExample {

    private static kafka.javaapi.consumer.ConsumerConnector consumer;

    public static void consume() {

        Properties props = new Properties();
        // zookeeper 配置
        props.put("zookeeper.connect", "192.168.1.76:2181");

        // 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);

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

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

十一、提供下C#版的代码

 

static void Main(string[] args)
{
    //https://github.com/Jroland/kafka-net
    //生产者
    //var options = new KafkaOptions(new Uri("http://192.168.1.76:9092"), new Uri("http://192.168.1.76:9092"));
    //var router = new BrokerRouter(options);
    //var client = new Producer(router);

    //client.SendMessageAsync("mytesttopic", new[] { new Message("hello world") }).Wait();

    //using (client) { }

    //消费者
    var options = new KafkaOptions(new Uri("http://192.168.1.76:9092"), new Uri("http://192.168.1.76:9092"));
    var router = new BrokerRouter(options);
    var consumer = new Consumer(new ConsumerOptions("mytesttopic", router));

    //Consume returns a blocking IEnumerable (ie: never ending stream)
    foreach (var message in consumer.Consume())
    {
        Console.WriteLine("Response: P{0},O{1} : {2}",
            message.Meta.PartitionId, message.Meta.Offset,System.Text.Encoding.ASCII.GetString(message.Value));
    }
    Console.ReadLine();
}