Scala_Load csv data to hive via spark2.1_via pass parameters

prepare csv:

# vim /tmp/cars.csv 
year,make,model,comment,blank
"2012","Tesla","S","No comment",
"1997","Ford,E350","Go get one now they are going fast",
"2015","Chevy","Volt"

scala code:

package com.liupu
import org.apache.spark.{ SparkContext, SparkConf }
import org.apache.spark.sql.hive.HiveContext
import org.apache.spark.sql.hive.orc._
object LoadCsvParams {
  def main(args: Array[String]) {
    var sourceCsvPath = args(0)
    var targetPath = args(1)
    var hiveTableName = args(2)

    var sc = new SparkContext()
    val hiveContext = new org.apache.spark.sql.hive.HiveContext(sc)
    val df = hiveContext.read
      .format("com.databricks.spark.csv")
      .option("header", "true")
      .option("inferSchema", "true")
      .load(sourceCsvPath)
    val selectedData = df.select("year", "model")
    selectedData.write.format("orc").option("header", "true").save(targetPath)
    hiveContext.sql(s"create external table $hiveTableName(year int,model string) stored as orc location '$targetPath'")
    hiveContext.sql("show tables").collect().foreach(println)
    sc.stop()
  }
}

spark submit:

./spark-submit 
--class com.liupu.LoadCsvParams 
--master local[*] 
/home/pl62716/scalaTest.jar 
"/tmp/cars.csv" "/tmp/hive_cars2" "hive_cars2" "/tmp/hive_cars2"