Windows用戶端Linux伺服器---轉

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原文：http://blog.csdn.net/jingshuigg/article/details/25001979

一、對於伺服器端的搭建可以參考上一篇文章：kafka單機版環境搭建與測試

伺服器端IP ：10.0.30.221

運行環境的目錄如下：

 

需要改動config檔案夾下的server.properties中的以下兩個屬性

zookeeper.connect=localhost:2181改成zookeeper.connect=00.00.00.01 (IP地址):2181

以及預設注釋掉的

#host.name=localhost改成host.name=00.00.00.01 (IP地址)

host.name不更改會造成用戶端報如下的錯誤

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)

上述步驟完成以後，按照《kafka單機版環境搭建與測試》中的方法啟動zookeeper-server和kafka-server即可

 

二、用戶端搭建

用戶端使用的win7系統，在Eclipse中串連伺服器

1.在eclipse下建立工程kafka_producer,目錄如下：

注意：將config檔案夾下的log4j.properties檔案放在src下，這樣才起作用，可以觀測到日誌資訊

producer的代碼如下：

import java.util.Properties;import kafka.producer.KeyedMessage;import kafka.producer.ProducerConfig;public class Producer extends Thread{    private final kafka.javaapi.producer.Producer<Integer, String> producer;    private final String topic;    private final String name;    private final int numsOfMessage;    private final Properties props = new Properties();    public Producer(String name,String topic,int numsOfMessage){        props.put("serializer.class", "kafka.serializer.StringEncoder");        props.put("metadata.broker.list", "10.0.30.221:9092");        //非同步發送        //props.put("producer.type", "async");        //每次發送多少條        //props.put("batch.num.messages", "100");        producer = new kafka.javaapi.producer.Producer<Integer, String>(new ProducerConfig(props));        this.topic = topic;        this.name = name;        this.numsOfMessage = numsOfMessage;    }        public void run() {          int messageNo = 1;          while(messageNo <= numsOfMessage) { //每個生產者生產的訊息數；              String message = new String(name+"‘s    Message_" + messageNo+"******");              KeyedMessage<Integer, String> messageForSend = new KeyedMessage<Integer, String>(topic, message);              producer.send(messageForSend);              messageNo++;          }          producer.close();     }}

啟動producer的代碼如下：

 

import java.util.concurrent.TimeUnit;public class KafkaProducerDemo implements KafkaProperties{     public static void main(String[] args){        StartThread(1,"testTopic",10);    }    /**     * @param numsOfProducer  生產者的數目     * @param topic        訊息的主題     * @param numsOfMessage    每個生產者生產的訊息樹     * @return      */    public static void StartThread(int numsOfProducer,String topic,int numsOfMessage){        for(int i = 1; i <= numsOfProducer; i ++ ){            String name = "Producer" + i;            new Producer(name,topic,numsOfMessage).start();            }    }}

 

2.在eclipse下建立kafka_consumer工程，目錄如下：

 

consumer代碼如下：

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;public class Consumer extends Thread {  private final ConsumerConnector consumer;  private final String topic;  private final String name;    public Consumer(String name,String topic){    consumer = kafka.consumer.Consumer.createJavaConsumerConnector(            createConsumerConfig());    this.topic = topic;    this.name = name;  }  private static ConsumerConfig createConsumerConfig(){    Properties props = new Properties();    props.put("zookeeper.connect", KafkaProperties.zkConnect);    props.put("group.id", KafkaProperties.groupId);    props.put("zookeeper.session.timeout.ms", "60000");    props.put("zookeeper.sync.time.ms", "200");    props.put("auto.commit.interval.ms", "1000");    //每次最少接收的位元組數，預設是1    //props.put("fetch.min.bytes", "1024");    //每次最少等待時間，預設是100    //props.put("fetch.wait.max.ms", "600000");    return new ConsumerConfig(props);  }   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("************"+name+"    gets    "+new String(it.next().message()));    }  }}

啟動consumer的代碼：

 

public class KafkaConsumerDemo implements KafkaProperties{  public static void main(String[] args){    //Consumer1    Consumer consumerThread1 = new Consumer("Consumer1",KafkaProperties.topic);    consumerThread1.start();  }}

properties的代碼(為了傳遞屬性值，當然也可以是xml提供屬性值)：

public interface KafkaProperties{  final static String zkConnect = "10.0.30.221:2181";    final static  String groupId = "group1";  final static String topic = "testTopic";  final static String kafkaServerURL = "10.0.30.221";  final static int kafkaServerPort = 9092;  final static int kafkaProducerBufferSize = 64*1024;  final static int connectionTimeOut = 100000;  final static int reconnectInterval = 10000;  final static String clientId = "SimpleConsumerDemoClient";}

 

 

3.啟動consumer然後再啟動producer，則在eclipse的Console視窗中觀察到：

 

Windows用戶端Linux伺服器---轉