kafka环境搭建二---Windows客户端Linux服务器

一、对于服务器端的搭建可以参考上一篇文章：kafka单机版环境搭建与测试

服务器端IP ：10.0.30.221

运行环境的目录如下：

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=10.0.30.221:2181

以及默认注释掉的

#host.name=localhost改成host.name=10.0.30.221

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)

上述步骤完成以后，按照《kafka单机版环境搭建与测试》中的方法启动zookeeper-server和kafka-server即可

二、客户端搭建

客户端使用的win7系统，在Eclipse中连接服务器

1.在eclipse下新建工程kafka_producer,目录如下：

注意：将config文件夹下的log4j.properties文件放在src下，这样才起作用，可以观测到日志信息

producer的代码如下：

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");
		//异步发送
		//props.put("producer.type", "async");
		//每次发送多少条
		//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) { //每个生产者生产的消息数；
	    	  String message = new String(name+"‘s	Message_" + messageNo+"******");
	    	  KeyedMessage<Integer, String> messageForSend = new KeyedMessage<Integer, String>(topic, message);
	    	  producer.send(messageForSend);
	    	  messageNo++;
	      }
	      producer.close();
	 }
}

启动producer的代码如下：

import java.util.concurrent.TimeUnit;

public class KafkaProducerDemo implements KafkaProperties{ 
	public static void main(String[] args){
		StartThread(1,"testTopic",10);
	}
	/**
	 * @param numsOfProducer  生产者的数目
	 * @param topic		消息的主题
	 * @param numsOfMessage	每个生产者生产的消息树
	 * @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下新建kafka_consumer工程，目录如下：

consumer代码如下：

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");
    //每次最少接收的字节数，默认是1
    //props.put("fetch.min.bytes", "1024");
    //每次最少等待时间，默认是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()));
    }
  }
}

启动consumer的代码：

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

    consumerThread1.start();
  }
}

properties的代码(为了传递属性值，当然也可以是xml提供属性值)：

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.启动consumer然后再启动producer，则在eclipse的Console窗口中观察到：

kafka环境搭建二---Windows客户端Linux服务器,布布扣,bubuko.com