Kafka的Producer和Consumer的示例(使用Java语言)

http://www.tuicool.com/articles/uu6r2e

我使用的kafka版本是：0.7.2

jdk版本是：1.6.0_20

http://kafka.apache.org/07/quickstart.html 官方给的示例并不是很完整，以下代码是经过我补充的并且编译后能运行的。

分布式发布订阅消息系统 Kafka 架构设计 http://www.linuxidc.com/Linux/2013-11/92751.htm

Apache Kafka 代码实例 http://www.linuxidc.com/Linux/2013-11/92754.htm

Apache Kafka 教程笔记 http://www.linuxidc.com/Linux/2014-01/94682.htm

Kafka使用入门教程 http://www.linuxidc.com/Linux/2014-07/104470.htm

Producer Code

import java.util.*;

import kafka.message.Message;

import kafka.producer.ProducerConfig;

import kafka.javaapi.producer.Producer;

import kafka.javaapi.producer.ProducerData;

public class ProducerSample {

public static void main(String[] args) {

ProducerSample ps = new ProducerSample();

Properties props = new Properties();

props.put("zk.connect", "127.0.0.1:2181");

props.put("serializer.class", "kafka.serializer.StringEncoder");

ProducerConfig config = new ProducerConfig(props);

Producer<String, String> producer = new Producer<String, String>(config);

ProducerData<String, String> data = new ProducerData<String, String>("test-topic", "test-message2");

producer.send(data);

producer.close();

}

}

Consumer Code

import java.nio.ByteBuffer;

import java.util.HashMap;

import java.util.List;

import java.util.Map;

import java.util.Properties;

import java.util.concurrent.ExecutorService;

import java.util.concurrent.Executors;

import kafka.consumer.Consumer;

import kafka.consumer.ConsumerConfig;

import kafka.consumer.KafkaStream;

import kafka.javaapi.consumer.ConsumerConnector;

import kafka.message.Message;

import kafka.message.MessageAndMetadata;

public class ConsumerSample {

public static void main(String[] args) {

// specify some consumer properties

Properties props = new Properties();

props.put("zk.connect", "localhost:2181");

props.put("zk.connectiontimeout.ms", "1000000");

props.put("groupid", "test_group");

// Create the connection to the cluster

ConsumerConfig consumerConfig = new ConsumerConfig(props);

ConsumerConnector consumerConnector = Consumer.createJavaConsumerConnector(consumerConfig);

// create 4 partitions of the stream for topic “test-topic”, to allow 4 threads to consume

HashMap<String, Integer> map = new HashMap<String, Integer>();

map.put("test-topic", 4);

Map<String, List<KafkaStream<Message>>> topicMessageStreams =

consumerConnector.createMessageStreams(map);

List<KafkaStream<Message>> streams = topicMessageStreams.get("test-topic");

// create list of 4 threads to consume from each of the partitions ExecutorService executor = Executors.newFixedThreadPool(4);

// consume the messages in the threads

for (final KafkaStream<Message> stream : streams) {

executor.submit(new Runnable() {

public void run() {

for (MessageAndMetadata msgAndMetadata : stream) {

// process message (msgAndMetadata.message())

System.out.println("topic: " + msgAndMetadata.topic());

Message message = (Message) msgAndMetadata.message();

ByteBuffer buffer = message.payload();

<SPAN style="WHITE-SPACE: pre"> </SPAN>byte[] bytes = new byte[message.payloadSize()];

buffer.get(bytes);

String tmp = new String(bytes);

System.out.println("message content: " + tmp);

}

}

});

}

分别启动zookeeper,kafka server之后，依次运行Producer,Consumer的代码

运行ProducerSample：

运行ConsumerSample:

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