创建生产者

 创建生产过时的API

package com.hadoop.kafka;

import java.util.Properties;

import kafka.javaapi.producer.Producer;

import kafka.producer.KeyedMessage;

import kafka.producer.ProducerConfig;

 

public class OldProducer {

 

@SuppressWarnings("deprecation")

public static void main(String[] args) {

 

Properties properties = new Properties();

properties.put("metadata.broker.list", "hadoop102:9092");

properties.put("request.required.acks", "1");

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

 

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

 

KeyedMessage<Integer, String> message = new KeyedMessage<Integer, String>("first", "hello world");

producer.send(message );

}

}

 

创建生产者(新API

package com.hadoop.kafka;

import java.util.Properties;

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

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

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

 

public class NewProducer {

 

public static void main(String[] args) {

 

Properties props = new Properties();

// Kafka服务端的主机名和端口号

props.put("bootstrap.servers", "hadoop103:9092");

// 等待所有副本节点的应答

props.put("acks", "all");

// 消息发送最大尝试次数

props.put("retries", 0);

// 一批消息处理大小

props.put("batch.size", 16384);

// 请求延时

props.put("linger.ms", 1);

// 发送缓存区内存大小

props.put("buffer.memory", 33554432);

// key序列化

props.put("key.serializer", "org.apache.kafka.common.serialization.StringSerializer");

// value序列化

props.put("value.serializer", "org.apache.kafka.common.serialization.StringSerializer");

 

Producer<String, String> producer = new KafkaProducer<>(props);

for (int i = 0; i < 50; i++) {

producer.send(new ProducerRecord<String, String>("first", Integer.toString(i), "hello world-" + i));

}

 

producer.close();

}

}

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posted @ 2019-11-27 19:03  大数据-云计算  阅读(115)  评论(0)    收藏  举报