SparkSQL 之处理Float Double浮点数据类型_spark sql double

数据源信息样例：

		GCSL00000673,0,JL225390810101,1,286.5,286.5
		GCSL00000673,1,84126312010104,1,329.7,329.7
		GCSL00000673,2,24126312011502,1,412.2,412.2
		GCSL00000673,3,84126388563204,1,372.9,372.9
		GCSL00000673,4,24126309030102,1,412.2,412.2
		GCSL00000673,5,YA214352320101,1,286.5,286.5
		GCSL00000673,6,G6126197970502,1,298.8,298.8
		GCSL00000673,7,04126140023002,1,269,269
		GCSL00000673,8,YC126108490201,1,228.9,228.9
		GCSL00000673,9,QY126309810201,1,372.9,372.9
		GCSL00000673,10,JL225390810701,1,286.5,286.5
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利用scala中的Decimal处理数据，建表的代码如下：

import org.apache.spark.rdd.RDD
import org.apache.spark.sql._
import org.apache.spark.sql.types._

/**
  * 统计计算每个订单的总金额
  * @Author xiaohuli
  * @CreateDate 2019/2/17
  */
object DecimalTest {
   
    def main(args: Array[String]): Unit = {
   
        //创建SparkSession
        val spark: SparkSession = SparkSession.builder
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