14、Flink基础：Source之自定义Source-程序员快看-教程，程序员编程资料站

文章目录

一.代码准备
二.运行程序
参考:

一.代码准备

org.flink.beans.SensorReading

package org.flink.beans;

/**
 * @author 只是甲
 * @date   2021-08-30
 * @remark 传感器温度读数的数据类型
 */

public class SensorReading {
   
     
    // 属性：id，时间戳，温度值
    private String id;
    private Long timestamp;
    private Double temperature;

    public SensorReading() {
   
     
    }

    public SensorReading(String id, Long timestamp, Double temperature) {
   
     
        this.id = id;
        this.timestamp = timestamp;
        this.temperature = temperature;
    }

    public String getId() {
   
     
        return id;
    }

    public void setId(String id) {
   
     
        this.id = id;
    }

    public Long getTimestamp() {
   
     
        return timestamp;
    }

    public void setTimestamp(Long timestamp) {
   
     
        this.timestamp = timestamp;
    }

    public Double getTemperature() {
   
     
        return temperature;
    }

    public void setTemperature(Double temperature) {
   
     
        this.temperature = temperature;
    }

    @Override
    public String toString() {
   
     
        return "SensorReading{" +
                "id='" + id + '\'' +
                ", timestamp=" + timestamp +
                ", temperature=" + temperature +
                '}';
    }
}

SourceTest4_UDF

package org.example;

import org.flink.beans.SensorReading;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.functions.source.SourceFunction;

import java.util.HashMap;
import java.util.Random;

/**
 * @author 只是甲
 * @date   2021-08-31
 * @remark Flink之自定义Source
 */

public class SourceTest4_UDF {
   
     
    public static void main(String[] args) throws Exception{
   
     
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        env.setParallelism(1);

        // 从文件读取数据
        DataStream<SensorReading> dataStream = env.addSource( new MySensorSource() );

        // 打印输出
        dataStream.print();

        env.execute();
    }

    // 实现自定义的SourceFunction
    public static class MySensorSource implements SourceFunction<SensorReading>{
   
     
        // 定义一个标识位，用来控制数据的产生
        private boolean running = true;

        @Override
        public void run(SourceContext<SensorReading> ctx) throws Exception {
   
     
            // 定义一个随机数发生器
            Random random = new Random();

            // 设置10个传感器的初始温度
            HashMap<String, Double> sensorTempMap = new HashMap<>();
            for( int i = 0; i < 10; i++ ){
   
     
                sensorTempMap.put("sensor_" + (i+1), 60 + random.nextGaussian() * 20);
            }

            while (running){
   
     
                for( String sensorId: sensorTempMap.keySet() ){
   
     
                    // 在当前温度基础上随机波动
                    Double newtemp = sensorTempMap.get(sensorId) + random.nextGaussian();
                    sensorTempMap.put(sensorId, newtemp);
                    ctx.collect(new SensorReading(sensorId, System.currentTimeMillis(), newtemp));
                }
                // 控制输出频率
                Thread.sleep(2000L);
            }
        }

        @Override
        public void cancel() {
   
     
            running = false;
        }
    }}

二.运行程序

运行程序截图:

参考:

1、 https://www.bilibili.com/video/BV1qy4y1q728；
2. https://ashiamd.github.io/docsify-notes/#/study/BigData/Flink/%E5%B0%9A%E7%A1%85%E8%B0%B7Flink%E5%85%A5%E9%97%A8%E5%88%B0%E5%AE%9E%E6%88%98-%E5%AD%A6%E4%B9%A0%E7%AC%94%E8%AE%B0?id=_521-%e4%bb%8e%e9%9b%86%e5%90%88%e8%af%bb%e5%8f%96%e6%95%b0%e6%8d%ae