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+"'sMessage_" + 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：