原文连接：http://www.cnblogs.com/davidwang456/p/4201875.html
程序仍然使用之前的一篇博文中的例子 ：http://www.cnblogs.com/gnivor/p/4934265.html
这里是将producer和consumer与bocker分离
如何搭建Kafka集群见： http://www.cnblogs.com/gnivor/p/4934073.html
注意：不同的地方
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=192.168.1.164 (IP地址):2181
以及默认注释掉的
#host.name=localhost改成host.name=192.168.1.164 (IP地址) 注意：每个节点这一项要填自己的IP地址。
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)
修改配置之后，启动zookeeper和kafka，然后分别在另外两台主机上运行producer/consumer
接口 KafkaProperties.java
public interface KafkaProperties {
final static String zkConnect = "192.168.1.160:2181";
final static String groupId = "group1";
final static String topic = "topic1";
// final static String kafkaServerURL = "192.168.1.160";
// 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";
}
生产者 KafkaProducer.java
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", "192.168.1.160:9092"); // 配置kafka端口
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("This is a message, number: " + messageNo);
System.out.println("Send:" + messageStr);
producer.send(new KeyedMessage<Integer, String>(topic, messageStr));
messageNo++;
try {
sleep(1000);
} catch (InterruptedException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
}
}
}
消费者 KafkaConsumer.java
import java.util.Properties; import kafka.consumer.ConsumerConfig;
import kafka.consumer.ConsumerIterator;
import kafka.consumer.KafkaStream;
import kafka.javaapi.consumer.ConsumerConnector; 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); // zookeeper的地址
props.put("group.id", KafkaProperties.groupId); // 组ID //zk连接超时
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(1000);
} catch (InterruptedException e) {
e.printStackTrace();
}
}
}
}
执行函数 KafkaConsumerProducerDemo.java（注意 producer和consumer可以分开在不同的主机执行）
public class KafkaConsumerProducerDemo {
public static void main(String[] args) {
// KafkaProducer producerThread = new KafkaProducer(KafkaProperties.topic); //这里的topic为“topic1”
// producerThread.start();
//
// KafkaProducer producerThread2 = new KafkaProducer("topic2");
// producerThread2.start();
KafkaConsumer consumerThread = new KafkaConsumer(KafkaProperties.topic);
consumerThread.start();
KafkaConsumer consumerThread2 = new KafkaConsumer("topic2");
consumerThread2.start();
//两对生产者消费者，一对发送和接收topic1，一对发送和接收topic2
}
}
producer结果
Send topic1:This is a message, number: 1
Send topic2:This is a message, number: 1
Send topic2:This is a message, number: 2
Send topic1:This is a message, number: 2
Send topic1:This is a message, number: 3
Send topic2:This is a message, number: 3
Send topic1:This is a message, number: 4
Send topic2:This is a message, number: 4
Send topic1:This is a message, number: 5
Send topic2:This is a message, number: 5
Send topic1:This is a message, number: 6
Send topic2:This is a message, number: 6
Send topic2:This is a message, number: 7
Send topic1:This is a message, number: 7
consumer结果
receive topic1:This is a message, number: 1
receive topic2:This is a message, number: 1
receive topic1:This is a message, number: 2
receive topic2:This is a message, number: 2
receive topic1:This is a message, number: 3
receive topic2:This is a message, number: 3
receive topic1:This is a message, number: 4
receive topic2:This is a message, number: 4
receive topic1:This is a message, number: 5
receive topic2:This is a message, number: 5
receive topic1:This is a message, number: 6
receive topic2:This is a message, number: 6
receive topic1:This is a message, number: 7
receive topic2:This is a message, number: 7