使用IDEA开发SPARK提交remote cluster执行

import scala.math.random
import org.apache.spark._
/** Computes an approximation to pi */
object SparkPi {
  def main(args: Array[String]) {
    val conf = new SparkConf().setAppName("Spark Pi").setMaster("spark://192.168.1.88:7077").
      set("spark.driver.host","192.168.1.129").setJars(List("D:\\IdeaProjects\\scalalearn\\out\\artifacts\\scalalearn\\scalalearn.jar"))
    val spark = new SparkContext(conf)
    val slices = if (args.length > 0) args(0).toInt else 2
    val n = 100000 * slices
    val count = spark.parallelize(1 to n, slices).map { i =>
      val x = random * 2 - 1
      val y = random * 2 - 1
      if (x*x + y*y < 1) 1 else 0
    }.reduce(_ + _)
    println("Pi is roughly " + 4.0 * count / n)
    spark.stop()
  }
}