sparkstreaming之kafka--KafkaProducer_spark怎么编写kafkaproduce-优快云博客

本文介绍了一种使用Java实现的Kafka生产者示例代码。该生产者不断发送消息到指定的主题，并打印已发送的消息。文章展示了如何配置生产者的属性，如Broker列表、序列化类及请求确认级别。

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package com.yys.spark.kafka;

import kafka.javaapi.producer.Producer;
import kafka.producer.KeyedMessage;
import kafka.producer.ProducerConfig;

import java.util.Properties;

/**
* Kafka生产者
*/
public class KafkaProducer extends Thread{

    private String topic;

    private Producer<Integer, String> producer;

    public KafkaProducer(String topic) {
        this.topic = topic;

        Properties properties = new Properties();

        properties.put("metadata.broker.list",KafkaProperties.BROKER_LIST);
        properties.put("serializer.class","kafka.serializer.StringEncoder");
        properties.put("request.required.acks","1");

        producer = new Producer<Integer, String>(new ProducerConfig(properties));
    }

    @Override
    public void run() {

        int messageNo = 1;

        while(true) {
            String message = "message_" + messageNo;
            producer.send(new KeyedMessage<Integer, String>(topic, message));
            System.out.println("Sent: " + message);

            messageNo ++ ;

            try{
                Thread.sleep(2000);
            } catch (Exception e){
                e.printStackTrace();
            }
        }

    }
}