kafka例子程序

//生产端 产生数据

/**
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package kafka.examples;

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 Properties props = new Properties();

public Producer(String topic) {
props.put("serializer.class", "kafka.serializer.StringEncoder");// 字符串消息
props.put("metadata.broker.list",
"192.168.1.155:9092,192.168.1.156:9092");
// Use random partitioner. Don't need the key type. Just set it to
// Integer.
// The message is of type String.
producer = new kafka.javaapi.producer.Producer<Integer, String>(
new ProducerConfig(props));
this.topic = topic;
}

public void run() {
for (int i = 0; i < 2000; i++) {
String messageStr = new String("Message_" + i);
System.out.println("product:"+messageStr);
producer.send(new KeyedMessage<Integer, String>(topic, messageStr));
}

}

public static void main(String[] args) {
Producer producerThread = new Producer(KafkaProperties.topic);
producerThread.start();
}
}

//消费端 消费数据

/**
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package kafka.examples;

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;

public Consumer(String topic) {
consumer = kafka.consumer.Consumer
.createJavaConsumerConnector(createConsumerConfig());//创建kafka时传入配置文件
this.topic = topic;
}
//配置kafka的配置文件项目
private static ConsumerConfig createConsumerConfig() {
Properties props = new Properties();
props.put("zookeeper.connect", KafkaProperties.zkConnect);
props.put("group.id", KafkaProperties.groupId);//相同的kafka groupID会给同一个customer消费
props.put("zookeeper.session.timeout.ms", "400");
props.put("zookeeper.sync.time.ms", "200");
props.put("auto.commit.interval.ms", "60000");//

return new ConsumerConfig(props);

}
// push消费方式，服务端推送过来。主动方式是pull
public void run() {
Map<String, Integer> topicCountMap = new HashMap<String, Integer>();
topicCountMap.put(topic, new Integer(1));//先整体存到Map中
Map<String, List<KafkaStream<byte[], byte[]>>> consumerMap = consumer
.createMessageStreams(topicCountMap);//用consumer创建message流然后放入到consumerMap中
KafkaStream<byte[], byte[]> stream = consumerMap.get(topic).get(0);//再从流里面拿出来进行迭代
ConsumerIterator<byte[], byte[]> it = stream.iterator();

while (it.hasNext()){
//逻辑处理
System.out.println(new String(it.next().message()));

}

}

public static void main(String[] args) {
Consumer consumerThread = new Consumer(KafkaProperties.topic);
consumerThread.start();
}
}