kafka java简单例子

最新推荐文章于 2025-06-05 11:08:36 发布

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本文将展示如何使用Java编写简单的Kafka Producer和Consumer。Producer部分涉及消息发布，而Consumer部分涉及订阅和处理这些消息。通过这两个关键组件，你可以理解Kafka在分布式消息传递中的基本工作流程。

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１．producer

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 String topic;

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

    @Override
    public void run() {
        Producer producer = createProducer();
        int i = 0;
        while (true) {
            String value = "message: "+ i++;
            System.out.println("value:" + value);
            producer.send(new KeyedMessage<Integer, String>(topic, value));
            try {
                TimeUnit.SECONDS.sleep(5);
            } catch (InterruptedException e) {
                e.printStackTrace();
            }
        }
    }

    private Producer createProducer() {
        Properties properties = new Properties();
        properties.put("zookeeper.connect",
                "x.x.x.x:2181,x.x.x.x:2181");// 声明zk
        properties.put("serializer.class", StringEncoder.class.getName());
        properties.put("metadata.broker.list",
                "x.x.x.x:9092,x.x.x.x:9092");// 声明kafka broker
        return new Producer<Integer, String>(new ProducerConfig(properties));
    }

    public static void main(String[] args) {
        new kafkaProducer("test-java").start();// 使用kafka集群中创建好的主题 test

    }

}

value:message: 0
value:message: 1
value:message: 2
value:message: 3
value:message: 4
value:message: 5
value:message: 6

2.consumer

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;

/**
 * 接收数据 接收到: message: 10 接收到: message: 11 接收到: message: 12 接收到: message: 13 接收到:
 * message: 14
 * 
 * @author zm
 * 
 */
public class kafkaConsumer extends Thread {

    private String topic;

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

    @Override
    public void run() {
        ConsumerConnector 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",
                "x.x.x.x:2181,x.x.x.x:2181");// 声明zk
        properties.put("group.id", "group1");// 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("zookeeper.session.timeout.ms", "15000");
        properties.put("zookeeper.sync.time.ms", "200");
        properties.put("auto.commit.interval.ms", "1000");
        return Consumer.createJavaConsumerConnector(new ConsumerConfig(
                properties));
    }

    public static void main(String[] args) {
        new kafkaConsumer("test-java").start();// 使用kafka集群中创建好的主题 test

    }

}

接收到: message: 0
接收到: message: 1
接收到: message: 2
接收到: message: 3
接收到: message: 4
接收到: message: 5
接收到: message: 6