关于kafka发送消息的三种方式总结

目录

• kafka发送消息的方式
• 需要引入文件
• 测试方法
• MAC下操作指令
• windows操作指令
• 总结

kafka发送消息的方式

package com.zl.kafkademo;
 
import org.apache.kafka.clients.producer.Callback;
import org.apache.kafka.clients.producer.KafkaProducer;
import org.apache.kafka.clients.producer.ProducerRecord;
import org.apache.kafka.clients.producer.RecordMetadata;
import org.quartz.*;
import org.quartz.impl.StdSchedulerFactory;
 
import java.util.Properties;
 
/**
 * @Auther: le
 * @Date: 2019/4/23 22:05
 * @Description:
 */
public class MyProducer implements Job {
    private static KafkaProducer<String,String> producer;
 
    static {
        Properties properties = new Properties();
        properties.put("bootstrap.servers","127.0.0.1:9092");
        properties.put("key.serializer",
                "org.apache.kafka.common.serialization.StringSerializer");
        properties.put("value.serializer",
                "org.apache.kafka.common.serialization.StringSerializer");
        producer = new KafkaProducer<String, String>(properties);
    }
 
    /**
     * 第一种直接发送，不管结果
     */
    private static void sendMessageForgetResult(){
        ProducerRecord<String,String> record = new ProducerRecord<String,String>(
                "kafka-study","name","Forget_result"
        );
        producer.send(record);
        producer.close();
    }
 
    /**
     * 第二种同步发送，等待执行结果
     * @return
     * @throws Exception
     */
    private static RecordMetadata sendMessageSync() throws Exception{
        ProducerRecord<String,String> record = new ProducerRecord<String,String>(
                "kafka-study","name","sync"
        );
        RecordMetadata result = producer.send(record).get();
        System.out.println(result.topic());
        System.out.println(result.partition());
        System.out.println(result.offset());
        return result;
    }
 
    /**
     * 第三种执行回调函数
     */
    private static void sendMessageCallback(){
        ProducerRecord<String,String> record = new ProducerRecord<String,String>(
                "kafka-study","name","callback"
        );
        producer.send(record,new MyProducerCallback());
    }
 
    //定时任务
    @Override
    public void execute(JobExecutionContext jobExecutionContext) throws JobExecutionException {
        try {
            sendMessageSync();
        }catch (Exception e){
            System.out.println("error:"+e);
        }
 
    }
 
    private static class MyProducerCallback implements Callback{
 
        @Override
        public void onCompletion(RecordMetadata recordMetadata, Exception e) {
            if (e !=null){
                e.printStackTrace();
                return;
            }
            System.out.println(recordMetadata.topic());
            System.out.println(recordMetadata.partition());
            System.out.println(recordMetadata.offset());
            System.out.println("Coming in MyProducerCallback");
        }
    }
 
 
    public static void main(String[] args){
        //sendMessageForgetResult();
        //sendMessageCallback();
        JobDetail job = JobBuilder.newJob(MyProducer.class).build();
 
        Trigger trigger = TriggerBuilder.newTrigger()
                .withSchedule(SimpleScheduleBuilder.repeatSecondlyForever()).build();
 
        try {
            Scheduler scheduler = StdSchedulerFactory.getDefaultScheduler();
            scheduler.scheduleJob(job,trigger);
            scheduler.start();
        }catch (SchedulerException e){
            e.printStackTrace();
        } catch (Exception e) {
            e.printStackTrace();
        }
 
    }
 
 
}

需要引入文件

        <dependency>
            <groupId>org.apache.kafka</groupId>
            <artifactId>kafka-clients</artifactId>
            <version>0.10.0.1</version>
        </dependency>
 
        <dependency>
            <groupId>org.quartz-scheduler</groupId>
            <artifactId>quartz</artifactId>
            <version>2.3.0</version>
        </dependency>

测试方法

MAC下操作指令

1、创建主题：

./kafka-topics.sh --create --topic kafka-study --zookeeper 127.0.0.1:2181 --config max.message.bytes=12800000 --config flush.messages=1 --partitions 5 --replication-factor 1

2、运行上述程序，执行定时任务

3、查看消费情况

./kafka-console-consumer.sh --bootstrap-server localhost:9092 --topic kafka-study --from-beginning

windows操作指令

1、进入 D:\zookeeper-3.4.14\bin 打开新的cmd，输入“zkServer“，运行Zookeeper

2、进入 D:\kafka_2.11-0.11.0.0 运行cmd

.\bin\windows\kafka-server-start.bat .\config\server.properties

3、 创建主题

进入D:\kafka_2.11-0.11.0.0运行cmd，输入：

.\bin\windows\kafka-topics.bat --create --zookeeper localhost:2181 --replication-factor 1 --partitions 1 --topic test

查看已创建主题：

.\bin\windows\kafka-topics.bat --list --zookeeper localhost:2181

查看指定主题的详细信息：

.\bin\windows\kafka-topics.bat --describe --zookeeper localhost:2181 --topic test

查看主题消费详情：

.\bin\windows\kafka-console-consumer.bat --zookeeper localhost:2181 --topic kafka-study --from-beginning

总结

以上为个人经验，希望能给大家一个参考，也希望大家多多支持本网站。

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