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

prepare CSV data

NT,col_SMALLINT,col_BIGINT,col_INT,col_FLOAT,col_DOUBLE,col_DECIMAL,col_TIMESTAMP,col_DATE,col_INTERVAL,col_STRING,col_VARCHAR,col_CHAR,col_BOOLEAN,col_BINARY
100Y,100S,100L,,1.11,2.22,4.44,2013­- ::,2013­-, SECONDS,"""""",ab,a,TRUE,

create CSV file

[Dev root @ sd-9c1f-2eac /tmp/pl62716]
# vi CsvLoadToHive.csv
col_TINYINT,col_SMALLINT,col_BIGINT,col_INT,col_FLOAT,col_DOUBLE,col_DECIMAL,col_TIMESTAMP,col_DATE,col_INTERVAL,col_STRIN
G,col_VARCHAR,col_CHAR,col_BOOLEAN,col_BINARY
100Y,100S,100L,,1.11,2.22,4.44,2013­- ::,2013­-, SECONDS,"""""",ab,a,TRUE,

scala test 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 LoadCsv3 {
  def main(args: Array[String]) {
    var sourceCsvPath = args()
    var targetPath = args()
    var hiveTableName = args()

    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("col_TINYINT","col_SMALLINT","col_BIGINT","col_INT","col_FLOAT","col_DOUBLE","col_DECIMAL","col_TIMESTAMP","col_DATE","col_INTERVAL","col_STRING","col_VARCHAR","col_CHAR","col_BOOLEAN","col_BINARY")
    selectedData.write.format("orc").option("header", "true").save(targetPath)
    hiveContext.sql(s"create external table $hiveTableName(col_TINYINT TINYINT,col_SMALLINT SMALLINT,col_BIGINT BIGINT,col_INT INT,col_FLOAT FLOAT,col_DOUBLE DOUBLE,col_DECIMAL DECIMAL,col_TIMESTAMP TIMESTAMP,col_DATE DATE,col_INTERVAL INTERVAL,col_STRING STRING,col_VARCHAR VARCHAR,col_CHAR CHAR,col_BOOLEAN BOOLEAN,col_BINARY BINARY) stored as orc location '$targetPath'")
    hiveContext.sql("show tables").collect().foreach(println)
    sc.stop()
  }
}

spark test