Int*_*tio 1 concurrency multithreading scala future callback
我通过Akka actor调用def activateReward并执行OracleClient.rewardActivate(用户)有时非常慢(数据库不在我的责任范围内,属于另一家公司).
当数据库很慢时,线程池耗尽,并且无法有效地分配更多线程来运行回调future.onComplete,因为回调和期货在同一个执行上下文中工作.
请告知如何从为日期OracleClient.rewardActivate(用户)分配的线程异步执行回调中的代码
class RewardActivatorHelper {
private implicit val ec = new ExecutionContext {
val threadPool = Executors.newFixedThreadPool(1000)
def execute(runnable: Runnable) {threadPool.submit(runnable)}
def reportFailure(t: Throwable) {throw t}
}
case class FutureResult(spStart:Long, spFinish:Long)
def activateReward(msg:Msg, time:Long):Unit = {
msg.users.foreach {
user =>
val future:Future[FutureResult] = Future {
val (spStart, spFinish) = OracleClient.rewardActivate(user)
FutureResult(spStart, spFinish)
}
future.onComplete {
case Success(futureResult:FutureResult) =>
futureResult match {
case res:FutureResult => Logger.writeToLog(Logger.LogLevel.DEBUG,s"started:${res.spStart}finished:${res.spFinish}")
case _ => Logger.writeToLog(Logger.LogLevel.DEBUG, "some error")
}
case Failure(e:Throwable) => Logger.writeToLog(Logger.LogLevel.DEBUG, e.getMessage)
}
}
}
}
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您可以通过执行以下操作来显式指定执行上下文而不是隐式地为onComplete回调指定:
import java.util.concurrent.Executors
import scala.concurrent.duration.Duration
object Example extends App {
import scala.concurrent._
private implicit val ec = new ExecutionContext {
val threadPool = Executors.newFixedThreadPool(1000)
def execute(runnable: Runnable) {threadPool.submit(runnable)}
def reportFailure(t: Throwable) {throw t}
}
val f = Future {
println("from future")
}
f.onComplete { _ =>
println("I'm done.")
}(scala.concurrent.ExecutionContext.Implicits.global)
Await.result(f, Duration.Inf)
}
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这当然不能解决数据库无法跟上的根本问题,但无论如何都可能很好.
澄清一下:我让onComplete回调由标准global执行上下文处理.您可能想要创建一个单独的.