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package com.dcx.scala.actor
import akka.actor.{Actor, ActorRef, ActorSystem, Props}
import scala.collection.mutable.HashMap
import scala.collection.mutable.ListBuffer
import scala.io.Source
/**
* 思路:
* 要有個Server
* 要有個Client去通信,client統計文本后把(qy,3)輸出給Server;Server再把所有的qy聚合,放到ListBuffer中
*/
object AkkaWordCount {
// 可變長List
val list = new ListBuffer[HashMap[String,Int]]
def main(args: Array[String]): Unit = {
// 輸入數據文本
val files: Array[String] = Array("D:\\tmp\\input\\word3.txt", "D:\\tmp\\input\\word3.txt", "D:\\tmp\\input\\word3.txt")
//存放接收到的每個actor處理的結果數據
//存放有actor返回結果的Future數據
//拿ActorSystem是一個靜態工廠
val weChatApp = ActorSystem("WeChatApp")
//拿到兩個Actor的通信地址
val akkaServerRef: ActorRef = weChatApp.actorOf(Props[AkkaServer],"jianjian1")
val clientRef: ActorRef = weChatApp.actorOf(Props(new Client(akkaServerRef)),"jianjian")
for (file <- files) {
clientRef ! file
}
// 讓該線程先睡一下,過早進入死循環會導致list沒有3個,一直循環不出來
Thread.sleep(1000)
// 如果list把三個文件都放滿了,就退出循環
while(true){
if(list.size == 3){
// 輸出list
println(list(list.size -1))
return
}
}
}
}
//把每次聚合后的值都發送給AkkaServer
class Client(val serverRef:ActorRef) extends Actor {
override def receive: Receive = {
{
// 偏函數 常用作模式匹配
// case filePath: String => {
//// map階段
// val list: List[String] = Source.fromFile(filePath).getLines().toList
// val words: List[String] = list.flatMap(_.split(" "))
// val res: Map[String, Int] = words.map((_, 1)).groupBy(_._1).mapValues(_.size)
// //異步發送結果數據 res發送到Server,去模式匹配
// serverRef ! res
// }
case filePath:String => {
val list: List[String] = Source.fromFile(filePath).getLines().toList
val words: List[String] = list.flatMap(_.split(" "))
// 得出: (qy,3) 格式
val res: Map[String, Int] = words.map((_, 1)).groupBy(_._1).mapValues(_.size)
serverRef ! res
}
}
}
}
import scala.collection.mutable.HashMap
class AkkaServer extends Actor {
private var hashMap: HashMap[String, Int] = new HashMap[String, Int]
override def receive: Receive = {
case context: Map[String, Int] =>{
// (qy,3)
context.map( (map:(String,Int)) => {
// 聚合
val value: Any = hashMap.getOrElse(map._1,None)
if(value != None){
hashMap(map._1) = value.asInstanceOf[Int] + map._2
}else{
hashMap(map._1) = map._2
}
}
)
AkkaWordCount.list += hashMap
}
}
}
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