SparkStreaming自定义采集器

实现自定义采集器类

import java.io.{
    
    BufferedReader, InputStreamReader}
import org.apache.spark.SparkConf
import org.apache.spark.storage.StorageLevel
import org.apache.spark.streaming.dstream.{
    
    DStream, ReceiverInputDStream}
import org.apache.spark.streaming.{
    
    Seconds, StreamingContext}
import org.apache.spark.streaming.receiver.Receiver

class MyReceiver(host:String,port:Int) extends  Receiver[String](StorageLevel.MEMORY_ONLY){
    
    
  var socket:java.net.Socket=null
  def receive(): Unit = {
    
    
    socket = new java.net.Socket(host,port)
    val reader = new BufferedReader(new InputStreamReader(socket.getInputStream,"UTF-8"))
    var line:String=null
	
    while((line=reader.readLine())!=null){
    
    
      if(line.equals("end")){
    
    
        return
      }else{
    
    
        this.store(line)
      }
    }
  }

  override def onStart(): Unit = {
    
    
    new Thread(new Runnable {
    
    
      override def run(): Unit = {
    
    
        receive()
      }
    }).start()
  }

  override def onStop(): Unit = {
    
    
      if(socket!=null){
    
    
        socket.close()
        socket=null
      }
  }
}

object MyReceiver{
    
    
  def main(args: Array[String]): Unit = {
    
    
    val sparkconf: SparkConf = new SparkConf().setMaster("local[*]").setAppName("myreceiver")
    val context = new StreamingContext(sparkconf,Seconds(5))
    val receiverStream: ReceiverInputDStream[String] = context.receiverStream(new MyReceiver("192.168.**.**",7777))

    val line: DStream[String] = receiverStream.flatMap(line=>line.split("\\s+"))
    val wordStream: DStream[(String, Int)] = line.map((_,1))
    val reduceStream: DStream[(String, Int)] = wordStream.reduceByKey(_+_)

    receiverStream.print()

    context.start()
    context.awaitTermination()
  }
}

启动SparkStreaming

启动端口

• 启动命令：：nc -lk 7777
• 输入数据：

hello spark
hello world
hello java
hello spark

查看SparkStreaming输出数据