Scala 将行值从Spark df传递给函数

我需要将每一行及其coresponding值传递给上述函数。 第一行中数字列的值=8传递给numbervalidation，第一行中的word列abc传递给WordValidationin

使用spark并按如下方式更改您的方法：

val someDF = Seq(
  (8, "abc"),
  (64, "sdf"),
  (-27, "yui")
).toDF("number", "word")

def numberValidation(numberValidation:Any): Boolean=
numberValidation match{
case int :Integer => true
case _ => false}

def wordValidatoin(wordValidation:Any): Boolean=
wordValidation match{
case str: String => true
case _ => false}

  val numberValidation = udf((numberValidation: Any) => {
     numberValidation match{
    case int :Integer => true
    case _ => false
    }
  })
  
 

val wordValidatoin = udf((wordValidation:Any)): =>{
    wordValidation match{
    case str: String => true
    case _ => false
    }
})

并与DF进行如下检查：

val someDF = Seq(
  (8, "abc"),
  (64, "sdf"),
  (-27, "yui")
).toDF("number", "word")

def numberValidation(numberValidation:Any): Boolean=
numberValidation match{
case int :Integer => true
case _ => false}

def wordValidatoin(wordValidation:Any): Boolean=
wordValidation match{
case str: String => true
case _ => false}

  val numberValidation = udf((numberValidation: Any) => {
     numberValidation match{
    case int :Integer => true
    case _ => false
    }
  })
  
 

val wordValidatoin = udf((wordValidation:Any)): =>{
    wordValidation match{
    case str: String => true
    case _ => false
    }
})