kafka 生产者java编码

package cn.bigdata.kafka;

import java.util.HashMap;
import java.util.Map;

import org.apache.kafka.clients.producer.KafkaProducer;
import org.apache.kafka.clients.producer.Producer;
import org.apache.kafka.clients.producer.ProducerRecord;

public class KafkaProducerDemo {
	public static void main(String[] args) throws InterruptedException {
        /*
         Properties props = new Properties();
         * props.put("bootstrap.servers", "localhost:9092");
         * props.put("acks", "all");
         * props.put("retries", 0);
         * props.put("batch.size", 16384);
         * props.put("linger.ms", 1);
         * props.put("buffer.memory", 33554432);
         * props.put("key.serializer", "org.apache.kafka.common.serialization.StringSerializer");
         * props.put("value.serializer", "org.apache.kafka.common.serialization.StringSerializer");
         */
		// CommonClientConfigs ProducerConfig 可以配置的参数都在这些类里面
        Map<String, Object> config = new HashMap<String, Object>();
        // kafka对消息是按照key value形式存储，这里指定key和value的序列化方法
        config.put("key.serializer", "org.apache.kafka.common.serialization.StringSerializer");
        config.put("value.serializer", "org.apache.kafka.common.serialization.StringSerializer");
        // broker的地址
        config.put("bootstrap.servers", "m2:9092");
		// acks=0 客户端不会等待服务端的确认
		// acks=1 只会等待leader分区的确认
		// acks=all或者acks=-1 等待leader分区和follower分区的确认
        config.put("acks", "all");
        Producer<String, String> producer = new KafkaProducer<String, String>(config);
 
        // 发送业务消息
        // 读取文件 读取内存数据库 读socket端口
        for (int i = 1; i <= 100; i++) {
            Thread.sleep(500);
            // 第一个参数是主题，第二个参数是消息
            producer.send(new ProducerRecord<String, String>("test2", i + ""));
        }
    }
}