1、構建SBT專案環境
mkdir -p ~/kmeans/src/main/scala
2、編寫kmeans.sbt

name := "Kmeans Project"
version := "1.0"
scalaVersion := "2.11.8"
libraryDependencies ++=Seq( "org.apache.spark" %% "spark-core" % "2.0.0",
                            "org.apache.spark" %% "spark-mllib" % "2.0.0")

當時，忘記新增mllib庫，出現報錯：“error object mllib is not a member of package org.apache.spark
”

3、編寫scala原始碼 kmeans_test.scala

import org.apache.spark.mllib.clustering.KMeans
import org.apache.spark.mllib.linalg.Vectors
import org.apache.spark.SparkConf
import org.apache.spark.SparkContext
import org.apache.spark.SparkContext._



object kmeans_test{
  def main(args: Array[String]) {
  val conf = new SparkConf().setAppName
 
("Kmeans Test")
  val sc = new SparkContext(conf)


  val data=sc.textFile("file:///usr/spark2.0/data/mllib/kmeans_data.txt")
  val parsedData=data.map(s=>Vectors.dense(s.split(" ").map(_.toDouble))).cache()
  val numClusters=2
  val numIterations=20
  val clusters=KMeans.train(parsedData,numClusters,numIterations)

  val WSSSE=clusters.computeCost
 
(parsedData)
  println("Within Set Sum of Squared Errors="+WSSSE)
  sc.stop()
  }
}

4、將scala原始碼拷貝至~/kmeans/src/main/scala/目錄下
6、最終工程目錄如下：

find .
.
/kmeans.sbt
/src
/src/main
/src/main/scala
/src/main/scala/kmean_test.scala

5、進入kmeans目錄，執行編譯操作

  cd ~/kmeans
  sbt complile

4、編譯完成後執行打包

sbt package

5、打包完成後使用spark-submit工具提交任務

spark-submit --class kmeans_test target/scala-2.11/kmeans-project_2.11-1.0.jar

6、結果輸出如下：