kafka java原生简单应用

kafka java原生简单应用



KafkaTestMain.java

package com;

public class KafkaTestMain extends Thread{

    private static String topic = "test-xing";

    public static void main(String[] args) {
        new KafkaConsumer(topic).start();// 消费者
        new KafkaProducer(topic).start();// 生产者
    }

}

KafkaProducer.java

package com;

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 static 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<String, String>(topic, "message: " + i++));
			System.out.println("已经发送一则消息");
			try {
				TimeUnit.SECONDS.sleep(1);
			} catch (InterruptedException e) {
				e.printStackTrace();
			}
		}
	}

	private Producer createProducer() {
		Properties properties = new Properties();
		properties.put("zookeeper.connect", "114.55.72.173:2181");// 声明zk IP

		properties.put("serializer.class", StringEncoder.class.getName());
		// 声明kafka broker IP
		properties.put("metadata.broker.list", "114.55.72.173:9092");
		return new Producer<String, String>(new ProducerConfig(properties));
	}
}

KafkaConsumer.java

package com;

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;

public class KafkaConsumer extends Thread {

	private String topic;
	private ConsumerConnector consumer;

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

	@Override
	public void run() {
		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", "114.55.72.173:2181");// 声明zk
		// 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
		properties.put("group.id", "group_xing");

		// ZooKeeper的最大超时时间，就是心跳的间隔，若是没有反映，那么认为已经死了，不易过大
		// properties.put("zookeeper.session.timeout.ms", "4000");

		// zk follower落后于zk leader的最长时间
		// properties.put("zookeeper.sync.time.ms", "200");

		// 往zookeeper上写offset的频率
		properties.put("auto.commit.interval.ms", "1000");

		// 消费最老消息为smallest,最新为largest
		properties.put("auto.offset.reset", "smallest");

		// 序列化类
		// properties.put("serializer.class", "kafka.serializer.StringEncoder");

		return Consumer.createJavaConsumerConnector(new ConsumerConfig(properties));
	}

}

依赖包（pom.xml）

<dependency>
	<groupId>org.apache.kafka</groupId>
	<artifactId>kafka_2.10</artifactId>
	<version>0.8.2.0</version>
</dependency>

<dependency>
	<groupId>org.apache.zookeeper</groupId>
	<artifactId>zookeeper</artifactId>
	<version>3.4.3</version>
</dependency>

结果:

接收到: message: 0
接收到: message: 1
接收到: message: 2
已经发送一则消息
接收到: message: 3
已经发送一则消息
接收到: message: 4
已经发送一则消息
接收到: message: 5
已经发送一则消息
接收到: message: 6
已经发送一则消息
接收到: message: 7

参考原文(配置属性)： http://blog.csdn.net/louisliaoxh/article/details/51516070
参考原文： http://chengjianxiaoxue.iteye.com/blog/2190488