从无到有系列之kafka生产消费者demo02

（使用maven构建项目）

POM.xml:

加入:

<dependency> 

     <groupId>org.apache.kafka</groupId>  

    <artifactId>kafka_2.10</artifactId>

     <version>0.8.2.0</version> 

</dependency> 

生产者：

package MavenDemo.Mdemo; import java.util.Properties; import java.util.concurrent.TimeUnit; import kafka.javaapi.producer.Producer; import kafka.producer.KeyedMessage; import kafka.producer.ProducerConfig; import kafka.serializer.StringEncoder; public class kafkaProducer extends Thread{ private String topic; public kafkaProducer(String topic){ super(); this.topic = topic; } @Override public void run() { Producer producer = createProducer(); int i=0; while(true){ producer.send(new KeyedMessage<Integer, String>(topic, "message: " + i++)); try { TimeUnit.SECONDS.sleep(1); } catch (InterruptedException e) { e.printStackTrace(); } } } private Producer createProducer() { Properties properties = new Properties(); properties.put("zookeeper.connect", "192.168.10.66:2181");//声明zk properties.put("serializer.class", StringEncoder.class.getName()); properties.put("metadata.broker.list", "192.168.10.66:9092");// 声明kafka broker return new Producer<Integer, String>(new ProducerConfig(properties)); } public static void main(String[] args) { new kafkaProducer("test").start();// 使用kafka集群中创建好的主题 test } }

生产者：

package MavenDemo.Mdemo;

import java.util.Properties;
import java.util.concurrent.TimeUnit;

import kafka.javaapi.producer.Producer;
import kafka.producer.KeyedMessage;
import kafka.producer.ProducerConfig;
import kafka.serializer.StringEncoder;

public class kafkaProducer extends Thread{

private String topic;

public kafkaProducer(String topic){
super();
this.topic = topic;
}

@Override
public void run() {
Producer producer = createProducer();
int i=0;
while(true){
producer.send(new KeyedMessage<Integer, String>(topic, "message: " + i++));
try {
TimeUnit.SECONDS.sleep(1);
} catch (InterruptedException e) {
e.printStackTrace();
}
}
}

private Producer createProducer() {
Properties properties = new Properties();
properties.put("zookeeper.connect", "192.168.10.66:2181");//声明zk
properties.put("serializer.class", StringEncoder.class.getName());
properties.put("metadata.broker.list", "192.168.10.66:9092");// 声明kafka broker
return new Producer<Integer, String>(new ProducerConfig(properties));
}

public static void main(String[] args) {
new kafkaProducer("test").start();// 使用kafka集群中创建好的主题 test

}

}

消费者

package MavenDemo.Mdemo;

import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Properties;

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

/**
* 接收数据
* 接收到: message: 10
接收到: message: 11
接收到: message: 12
接收到: message: 13
接收到: message: 14
* @author zm
*
*/
public class kafkaConsumer extends Thread{

private String topic;

public kafkaConsumer(String topic){
super();
this.topic = topic;
}

@Override
public void run() {
ConsumerConnector consumer = createConsumer();
Map<String, Integer> topicCountMap = new HashMap<String, Integer>();
topicCountMap.put(topic, 1); // 一次从主题中获取一个数据
Map<String, List<KafkaStream<byte[], byte[]>>> messageStreams = consumer.createMessageStreams(topicCountMap);
KafkaStream<byte[], byte[]> stream = messageStreams.get(topic).get(0);// 获取每次接收到的这个数据
ConsumerIterator<byte[], byte[]> iterator = stream.iterator();
while(iterator.hasNext()){
String message = new String(iterator.next().message());
System.out.println("接收到: " + message);
}
}

private ConsumerConnector createConsumer() {
Properties properties = new Properties();
properties.put("zookeeper.connect", "192.168.10.66:2181");//声明zk
properties.put("group.id", "group1");// 必须要使用别的组名称， 如果生产者和消费者都在同一组，则不能访问同一组内的topic数据
return Consumer.createJavaConsumerConnector(new ConsumerConfig(properties));
}

public static void main(String[] args) {
new kafkaConsumer("test").start();// 使用kafka集群中创建好的主题 test

}

}


先启动生产者代码，再启动消费者代码