我试图解析csv文件,我需要从字符串值开始确定每个字段的类型。
例如:
val row: Array[String] = Array("1/1/06 0:00","3108 OCCIDENTAL DR","3","3C","1115")
这就是我得到的:
row(0) --> Date
row(1) --> String
row(2) --> Int
Ecc....
我该怎么办?
------------------------------------ SOLUTION --- ---------------------------------
这是我发现识别String,Date,Int,Double和Boolean字段的解决方案。 我希望有人能够在将来服务。
def typeDetection(x: String): String = {
x match {
// Matches: [12], [-22], [0] Non-Matches: [2.2], [3F]
case int if int.matches("^-?[0-9]+$") => "Int"
// Matches: [2,2], [-2.3], [0.2232323232332] Non-Matches: [.2], [,2], [2.2.2]
case double if double.matches("^-?[0-9]+(,|.)[0-9]+$") => "Double"
// Matches: [29/02/2004 20:15:27], [29/2/04 8:9:5], [31/3/2004 9:20:17] Non-Matches: [29/02/2003 20:15:15], [2/29/04 20:15:15], [31/3/4 9:20:17]
case d1 if d1.matches("^((((31\\/(0?[13578]|1[02]))|((29|30)\\/(0?[1,3-9]|1[0-2])))\\/(1[6-9]|[2-9]\\d)?\\d{2})|(29\\/0?2\\/(((1[6-9]|[2-9]\\d)?(0[48]|[2468][048]|[13579][26])|((16|[2468][048]|[3579][26])00))))|(0?[1-9]|1\\d|2[0-8])\\/((0?[1-9])|(1[0-2]))\\/((1[6-9]|[2-9]\\d)?\\d{2})) *(?:(?:([01]?\\d|2[0-3])(\\-|:|\\.))?([0-5]?\\d)(\\-|:|\\.))?([0-5]?\\d)")
=> "Date"
// Matches: [01.1.02], [11-30-2001], [2/29/2000] Non-Matches: [02/29/01], [13/01/2002], [11/00/02]
case d2 if d2.matches("^(?:(?:(?:0?[13578]|1[02])(\\/|-|\\.)31)\\1|(?:(?:0?[1,3-9]|1[0-2])(\\/|-|\\.)(?:29|30)\\2))(?:(?:1[6-9]|[2-9]\\d)?\\d{2})$|^(?:0?2(\\/|-|\\.)29\\3(?:(?:(?:1[6-9]|[2-9]\\d)?(?:0[48]|[2468][048]|[13579][26])|(?:(?:16|[2468][048]|[3579][26])00))))$|^(?:(?:0?[1-9])|(?:1[0-2]))(\\/|-|\\.)(?:0?[1-9]|1\\d|2[0-8])\\4(?:(?:1[6-9]|[2-9]\\d)?\\d{2})$")
=> "Date"
// Matches: [12/01/2002], [12/01/2002 12:32:10] Non-Matches: [32/12/2002], [12/13/2001], [12/02/06]
case d3 if d3.matches("^(([0-2]\\d|[3][0-1])(\\/|-|\\.)([0]\\d|[1][0-2])(\\/|-|\\.)[2][0]\\d{2})$|^(([0-2]\\d|[3][0-1])(\\/|-|\\.)([0]\\d|[1][0-2])(\\/|-|\\.)[2][0]\\d{2}\\s([0-1]\\d|[2][0-3])\\:[0-5]\\d\\:[0-5]\\d)$")
=> "Date"
case boolean if boolean.equalsIgnoreCase("true") || boolean.equalsIgnoreCase("false") => "Boolean"
case _ => "String"
}
}
答案 0 :(得分:2)
val row: Array[String] = Array("1/1/06 0:00","3108 OCCIDENTAL DR","3","3C","1115")
val types: Array[String] = row.map(x => x match {
case string if string.contains("/") => "Date probably"
case string if string.matches("[0-9]+") => "Int probably"
case _ => "String probably"
})
types.foreach( x => println(x))
输出:
Date probably
String probably
Int probably
String probably
Int probably
但是说实话,我不会使用这种方法,这很容易出错,而且有很多事情可能会出错,我甚至不想考虑它,最简单的例子就是如果一个字符串包含/
,这一小段代码将与Date
匹配。
我不知道你的用例,但根据我的经验,创建一些试图猜测类型形成不安全数据的东西总是一个坏主意,如果你可以控制它,你可以引入一些标识符,例如{{1其中"1/1/06 0:00 %d%"
表示日期等等,然后将其从字符串中删除,即使这样,您也绝不会100%确定这不会失败。
答案 1 :(得分:0)
对于每个字符串:尝试将其解析为您想要的类型。你必须为每种类型编写一个函数。继续尝试,直到其中一个工作,订单很重要。您可以使用自己喜欢的日期/时间库。
import java.util.Date
def stringdetect (s : String) = {
dateFromString(s) orElse intFromString(s) getOrElse s
}
def arrayDetect(row : Array[String]) = row map stringdetect
def arrayTypes(row : Array[String]) = {
arrayDetect(row) map { _ match {
case x:Int => "Int"
case x:Date => "Date"
case x:String => "String"
case _ => "?"
} }
}
def intFromString(s : String): Option[Int] = {
try {
Some(s.toInt)
} catch {
case _ : Throwable => None
}
}
def dateFromString(s : String): Option[Date] = {
try {
val formatter = new java.text.SimpleDateFormat("d/M/yy h:mm")
formatter.format(new java.util.Date)
Some(formatter.parse(s))
} catch {
case _ : Throwable => None
}
}
来自REPL /工作表:
val row: Array[String] = Array("1/1/06 0:00","3108 OCCIDENTAL DR","3","3C","1115")
//> row : Array[String] = Array(1/1/06 0:00, 3108 OCCIDENTAL DR, 3, 3C, 1115)
arrayDetect(row)
//> res0: Array[Any] = Array(Sun Jan 01 00:00:00 CST 2006, 3108 OCCIDENTAL DR, 3 , 3C, 1115)
arrayTypeDisplay(row)
//> res1: Array[String] = Array(Date, String, Int, String, Int)