上篇文章中我们搭建了kafka的server，并能够使用Kafka的命令行工具创建topic，发送和接收消息。
以下我们来搭建kafka的开发环境。
加入依赖
搭建开发环境须要引入kafka的jar包，一种方式是将Kafka安装包中lib下的jar包增加到项目的classpath中，这样的比較简单了。
只是我们使用还有一种更加流行的方式：使用maven管理jar包依赖。
创建好maven项目后，在pom.xml中加入下面依赖：
<dependency> <groupId>org.apache.kafka</groupId> <artifactId>kafka_2.10</artifactId> <version>0.8.2.2</version> </dependency>
加入依赖后假设有两个jar包的依赖找不到。点击这里下载这两个jar包，解压后你有两种选择，第一种是使用mvn的install命令将jar包安装到本地仓库，还有一种是直接将解压后的目录复制到mvn本地仓库的com目录下，比方我的本地仓库是d:mvn,完毕后我的目录结构是这种：
配置程序
更新更全的API编程实例点这里：http://blog.csdn.net/honglei915/article/details/37697655
首先是一个充当配置文件作用的接口,配置了Kafka的各种连接參数：
package com.sohu.kafkademon;
public interface KafkaProperties
{
final static String zkConnect = "10.22.10.139:2181";
final static String groupId = "group1";
final static String topic = "topic1";
final static String kafkaServerURL = "10.22.10.139";
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";
}
producer
package com.sohu.kafkademon;
import java.util.Properties;
import kafka.producer.KeyedMessage;
import kafka.producer.ProducerConfig;
/**
* @author leicui bourne_cui@163.com
*/
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", "10.22.10.139:9092");
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("Message_" + messageNo);
System.out.println("Send:" + messageStr);
producer.send(new KeyedMessage<Integer, String>(topic, messageStr));
messageNo++;
try {
sleep(3000);
} catch (InterruptedException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
}
}
}
consumer
package com.sohu.kafkademon;
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;
/**
* @author leicui bourne_cui@163.com
*/
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);
props.put("group.id", KafkaProperties.groupId);
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(3000);
} catch (InterruptedException e) {
e.printStackTrace();
}
}
}
}
简单的发送接收
执行以下这个程序，就能够进行简单的发送接收消息了：
package com.sohu.kafkademon;
/**
* @author leicui bourne_cui@163.com
*/
public class KafkaConsumerProducerDemo
{
public static void main(String[] args)
{
KafkaProducer producerThread = new KafkaProducer(KafkaProperties.topic);
producerThread.start();
KafkaConsumer consumerThread = new KafkaConsumer(KafkaProperties.topic);
consumerThread.start();
}
}
高级别的consumer
以下是比較负载的发送接收的程序：
package com.sohu.kafkademon;
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;
/**
* @author leicui bourne_cui@163.com
*/
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);
props.put("group.id", KafkaProperties.groupId);
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(3000);
} catch (InterruptedException e) {
e.printStackTrace();
}
}
}
}