Kafka笔记--使用ubuntu为bocker(服务器)windows做producer和comsumer(客户端)

原文连接：http://www.cnblogs.com/davidwang456/p/4201875.html

程序仍然使用之前的一篇博文中的例子 ：http://www.cnblogs.com/gnivor/p/4934265.html

这里是将producer和consumer与bocker分离

如何搭建Kafka集群见： http://www.cnblogs.com/gnivor/p/4934073.html

注意：不同的地方

需要改动config文件夹下的server.properties中的以下两个属性

zookeeper.connect=localhost:2181改成zookeeper.connect=192.168.1.164 (IP地址):2181

以及默认注释掉的

#host.name=localhost改成host.name=192.168.1.164 (IP地址) 注意：每个节点这一项要填自己的IP地址。

host.name不更改会造成客户端报如下的错误

Exception in thread "Thread-0" kafka.common.FailedToSendMessageException: Failed to send messages after 3 tries.
at kafka.producer.async.DefaultEventHandler.handle(DefaultEventHandler.scala:90)
at kafka.producer.Producer.send(Producer.scala:76)
at kafka.javaapi.producer.Producer.send(Producer.scala:33)
at its.kafka.Producer.run(Producer.java:46)

 

修改配置之后，启动zookeeper和kafka，然后分别在另外两台主机上运行producer/consumer

接口 KafkaProperties.java

public interface KafkaProperties {
    final static String zkConnect = "192.168.1.160:2181";
    final static String groupId = "group1";
    final static String topic = "topic1";
    // final static String kafkaServerURL = "192.168.1.160";
    // final static int kafkaServerPort = 9092;
    // final static int kafkaProducerBufferSize = 64 * 1024;
    // final static int connectionTimeOut = 20000;
    // final static int reconnectInterval = 10000;
    // final static String topic2 = "topic2";
    // final static String topic3 = "topic3";
    // final static String clientId = "SimpleConsumerDemoClient";
}

 生产者 KafkaProducer.java

public class KafkaProducer extends Thread {
    private final kafka.javaapi.producer.Producer<Integer, String> producer;
    private final String topic;
    private final Properties props = new Properties();

    public KafkaProducer(String topic) {
        props.put("serializer.class", "kafka.serializer.StringEncoder");
        props.put("metadata.broker.list", "192.168.1.160:9092"); // 配置kafka端口
        producer = new kafka.javaapi.producer.Producer<Integer, String>(new ProducerConfig(props));
        this.topic = topic;
    }

    @Override
    public void run() {
        int messageNo = 1;
        while (true) {
            String messageStr = new String("This is a message, number: " + messageNo);
            System.out.println("Send:" + messageStr);
            producer.send(new KeyedMessage<Integer, String>(topic, messageStr));
            messageNo++;
            try {
                sleep(1000);
            } catch (InterruptedException e) {
                // TODO Auto-generated catch block
                e.printStackTrace();
            }
        }
    }

}

消费者 KafkaConsumer.java

import java.util.Properties;

import kafka.consumer.ConsumerConfig;
import kafka.consumer.ConsumerIterator;
import kafka.consumer.KafkaStream;
import kafka.javaapi.consumer.ConsumerConnector;


public class KafkaConsumer extends Thread {
    private final ConsumerConnector consumer;
    private final String topic;

    public KafkaConsumer(String topic) {
        consumer = kafka.consumer.Consumer.createJavaConsumerConnector(createConsumerConfig());
        this.topic = topic;
    }

    private static ConsumerConfig createConsumerConfig() {
        Properties props = new Properties();
        props.put("zookeeper.connect", KafkaProperties.zkConnect); // zookeeper的地址
        props.put("group.id", KafkaProperties.groupId); // 组ID

        //zk连接超时
        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<String, Integer> topicCountMap = new HashMap<String, Integer>();
        topicCountMap.put(topic, new Integer(1));
        
        Map<String, List<KafkaStream<byte[], byte[]>>> consumerMap     = consumer.createMessageStreams(topicCountMap);
        
        KafkaStream<byte[], byte[]> stream = consumerMap.get(topic).get(0);
        ConsumerIterator<byte[], byte[]> it = stream.iterator();
        while (it.hasNext()) {
            System.out.println("receive：" + new String(it.next().message()));
            try {
                sleep(1000);
            } catch (InterruptedException e) {
                e.printStackTrace();
            }
        }
    }
}

 执行函数 KafkaConsumerProducerDemo.java（注意 producer和consumer可以分开在不同的主机执行）

public class KafkaConsumerProducerDemo {
    public static void main(String[] args) {
//        KafkaProducer producerThread = new KafkaProducer(KafkaProperties.topic); //这里的topic为“topic1”
//        producerThread.start();
//        
//        KafkaProducer producerThread2 = new KafkaProducer("topic2");
//        producerThread2.start();

        
        KafkaConsumer consumerThread = new KafkaConsumer(KafkaProperties.topic);
        consumerThread.start();
        
        KafkaConsumer consumerThread2 = new KafkaConsumer("topic2");
        consumerThread2.start();
        
        //两对生产者消费者，一对发送和接收topic1，一对发送和接收topic2
    }
}

 

producer结果

Send topic1:This is a message, number: 1
Send topic2:This is a message, number: 1
Send topic2:This is a message, number: 2
Send topic1:This is a message, number: 2
Send topic1:This is a message, number: 3
Send topic2:This is a message, number: 3
Send topic1:This is a message, number: 4
Send topic2:This is a message, number: 4
Send topic1:This is a message, number: 5
Send topic2:This is a message, number: 5
Send topic1:This is a message, number: 6
Send topic2:This is a message, number: 6
Send topic2:This is a message, number: 7
Send topic1:This is a message, number: 7

consumer结果

receive topic1:This is a message, number: 1
receive topic2:This is a message, number: 1
receive topic1:This is a message, number: 2
receive topic2:This is a message, number: 2
receive topic1:This is a message, number: 3
receive topic2:This is a message, number: 3
receive topic1:This is a message, number: 4
receive topic2:This is a message, number: 4
receive topic1:This is a message, number: 5
receive topic2:This is a message, number: 5
receive topic1:This is a message, number: 6
receive topic2:This is a message, number: 6
receive topic1:This is a message, number: 7
receive topic2:This is a message, number: 7