错误:值拆分不是Char的成员 [英] error: value split is not a member of Char
本文介绍了错误:值拆分不是Char的成员的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
导入spark.implicits ._
import spark.implicits._
case class x(Data_time_Occured:String,Duplicate_Count:Int,Message:String)
val Final_df1=Final_df.map(_.split(",")).map(x=> (x(0).trim.toString,x(1).trim.toInt,x(2).trim.toString)).toDF("Data_time_Occured","Duplicate_Count","Message")
==== FINAL_DF中的VALUE是====: Final_df:字符串= 13/4/2020,0
Sql表中没有加载重复记录.请继续监视负载
====VALUE IN fINAL_DF is==== :
Final_df: String = 13/4/2020,0
No Duplicate records has been loaded in Sql table .Kindly keep monitoring the load
推荐答案
"Final_df"类型可以更改为Seq:
"Final_df" type can be changed to Seq:
val originalString = "Data_time_Occured1,4,Message1"
val Final_df = Seq(originalString)
Final_df.map(_.split(",")).map(x => (x(0).trim.toString, x(1).trim.toInt, x(2).trim.toString)).toDF("Data_time_Occured", "Duplicate_Count", "Message")
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