kafka producer java API的实现

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1.开发环境的构建

使用IDEA+MAVEN构建开发环境，可以采用Maven中scala-archetype-simple模板。

2.pom.xml的配置

这里scala版本为2.11.8，kafka版本为0.9.0.0

<properties>    <scala.version>2.11.8</scala.version>    <kafka.version>0.9.0.0</kafka.version>  </properties>  <dependencies>    <dependency>      <groupId>org.scala-lang</groupId>      <artifactId>scala-library</artifactId>      <version>${scala.version}</version>    </dependency>    <dependency>      <groupId>org.apache.kafka</groupId>      <artifactId>kafka_2.11</artifactId>      <version>${kafka.version}</version>    </dependency>  </dependencies>

3.Kafka配置类KafkaProperties

public static final String ZK = "192.168.254.128:2181";public static final String TOPIC = "hello_topic";public static final String BROKER_LIST = "192.168.254.128:9092";

4.生产者类

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("Send:" + message);            messageNo++;            try {                Thread.sleep(2000);            }catch (Exception e){                e.printStackTrace();            }        }    }}

5.测试类

public class KafkaClientsApp {    public static void main(String[] args) {        new KafkaProducer(KafkaProperties.TOPIC).start();    }}

6.测试结果

测试之前要开启zookeeper，kafka，和kafka consumer

本地生产的数据被服务器上的消费者消费

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