如何在Play框架的 生产环境 模式中包含文件

我的环境概述：Mac OS Yosemite，Play framework 2.3.7，sbt 0.13.7，Intellij Idea 14，java 1.8.0_25

我试图在Play框架中运行一个简单的Spark程序，所以我只是在Intellij中创建一个Play 2项目，并按如下方式更改一些文件：

应用程序/控制器/ Application.scala：

package controllers

import play.api._
import play.api.libs.iteratee.Enumerator
import play.api.mvc._

object Application extends Controller {

  def index = Action {
    Ok(views.html.index("Your new application is ready."))
  }

  def trySpark = Action {
    Ok.chunked(Enumerator(utils.TrySpark.runSpark))
  }

}

应用程序/ utils的/ TrySpark.scala：

package utils

import org.apache.spark.{SparkContext, SparkConf}

object TrySpark {
  def runSpark: String = {
    val conf = new SparkConf().setAppName("trySpark").setMaster("local[4]")
    val sc = new SparkContext(conf)
    val data = sc.textFile("public/data/array.txt")
    val array = data.map ( line => line.split(' ').map(_.toDouble) )
    val sum = array.first().reduce( (a, b) => a + b )
    return sum.toString
  }
}

公共/数据/ array.txt：

1 2 3 4 5 6 7

CONF /路线：

GET        /                    controllers.Application.index

GET        /spark               controllers.Application.trySpark

GET        /assets/*file        controllers.Assets.at(path="/public", file)

build.sbt：

name := "trySpark"

version := "1.0"

lazy val `tryspark` = (project in file(".")).enablePlugins(PlayScala)

scalaVersion := "2.10.4"

libraryDependencies ++= Seq( jdbc , anorm , cache , ws,
"org.apache.spark" % "spark-core_2.10" % "1.2.0")

unmanagedResourceDirectories in Test <+=  baseDirectory ( _ /"target/web/public/test" )

我键入 activator run 以在开发模式下运行此应用程序，然后在浏览器中键入 localhost:9000/spark ，它按预期显示结果 28 . 但是，当我想要类型 activator start 在 生产环境 模式下运行此应用程序时，它显示以下错误消息：

[info] play - Application started (Prod)
[info] play - Listening for HTTP on /0:0:0:0:0:0:0:0:9000
[error] application - 

! @6kik15fee - Internal server error, for (GET) [/spark] ->

play.api.Application$$anon$1: Execution exception[[InvalidInputException: Input path does not exist: file:/Path/to/my/project/target/universal/stage/public/data/array.txt]]
    at play.api.Application$class.handleError(Application.scala:296) ~[com.typesafe.play.play_2.10-2.3.7.jar:2.3.7]
    at play.api.DefaultApplication.handleError(Application.scala:402) [com.typesafe.play.play_2.10-2.3.7.jar:2.3.7]
    at play.core.server.netty.PlayDefaultUpstreamHandler$$anonfun$14$$anonfun$apply$1.applyOrElse(PlayDefaultUpstreamHandler.scala:205) [com.typesafe.play.play_2.10-2.3.7.jar:2.3.7]
    at play.core.server.netty.PlayDefaultUpstreamHandler$$anonfun$14$$anonfun$apply$1.applyOrElse(PlayDefaultUpstreamHandler.scala:202) [com.typesafe.play.play_2.10-2.3.7.jar:2.3.7]
    at scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scala:33) [org.scala-lang.scala-library-2.10.4.jar:na]
Caused by: org.apache.hadoop.mapred.InvalidInputException: Input path does not exist: file:/Path/to/my/project/target/universal/stage/public/data/array.txt
    at org.apache.hadoop.mapred.FileInputFormat.listStatus(FileInputFormat.java:251) ~[org.apache.hadoop.hadoop-mapreduce-client-core-2.2.0.jar:na]
    at org.apache.hadoop.mapred.FileInputFormat.getSplits(FileInputFormat.java:270) ~[org.apache.hadoop.hadoop-mapreduce-client-core-2.2.0.jar:na]
    at org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:201) ~[org.apache.spark.spark-core_2.10-1.2.0.jar:1.2.0]
    at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:205) ~[org.apache.spark.spark-core_2.10-1.2.0.jar:1.2.0]
    at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:203) ~[org.apache.spark.spark-core_2.10-1.2.0.jar:1.2.0]

似乎我的 array.txt 文件未在 生产环境 模式下加载 . 怎么能解决这个问题？