模式匹配范围在Scala与Spark udf

Question

我有一个Spark DataFrame，其中包含我使用Likert量表与数字分数匹配的字符串。不同的问题Ids映射到不同的分数。我正在尝试使用此问题作为指南在Apache Spark udf中对Scala中的范围进行模式匹配：

How can I pattern match on a range in Scala?

但是当我使用范围而不是简单的OR语句时，我得到了编译错误，即

31 | 32 | 33 | 34工作正常

31 to 35不编译。请问我在语法上出错了吗？

另外，在最后的情况_中，我想映射到一个字符串而不是一个Int，case _ => "None"，但这会给出一个错误：java.lang.UnsupportedOperationException: Schema for type Any is not supported

据推测，这是一个Spark的通用问题，因为它很可能在原生Scala中返回Any？

这是我的代码：

def calculateScore = udf((questionId: Int, answerText: String) => (questionId, answerText) match {

      case ((31 | 32 | 33 | 34 | 35), "Rarely /<br>Never") => 4 //this is fine
      case ((31 | 32 | 33 | 34 | 35), "Occasionally") => 3
      case ((31 | 32 | 33 | 34 | 35), "Often") => 2
      case ((31 | 32 | 33 | 34 | 35), "Almost always /<br>Always") => 1
      case ((x if 41 until 55 contains x), "None of the time") => 1 //this line won't compile
      case _ => 0 //would like to map to "None"
    })

然后，在Spark DataFrame上使用udf，如下所示：

val df3 = df.withColumn("NumericScore", calculateScore(df("QuestionId"), df("AnswerText")))

Answer 1

应该在模式之后放置保护表达式：

def calculateScore = udf((questionId: Int, answerText: String) => (questionId, answerText) match {
  case ((31 | 32 | 33 | 34 | 35), "Rarely /<br>Never") => 4 
  case ((31 | 32 | 33 | 34 | 35), "Occasionally") => 3
  case ((31 | 32 | 33 | 34 | 35), "Often") => 2
  case ((31 | 32 | 33 | 34 | 35), "Almost always /<br>Always") => 1
  case (x, "None of the time") if 41 until 55 contains x => 1
  case _ => 0 //would like to map to "None"
})

Answer 2

如果你想把最后的case即case _映射到“None”String，那么所有的情况都应该返回String

以下udf功能应该适合你

def calculateScore  = udf((questionId: Int, answerText: String) => (questionId, answerText) match {
  case ((31 | 32 | 33 | 34 | 35), "Rarely /<br>Never") => "4" //this is fine
  case ((31 | 32 | 33 | 34 | 35), "Occasionally") => "3"
  case ((31 | 32 | 33 | 34 | 35), "Often") => "2"
  case ((31 | 32 | 33 | 34 | 35), "Almost always /<br>Always") => "1"
  case (x, "None of the time") if (x >= 41 && x < 55) => "1" //this line won't compile
  case _ => "None"
})

如果你想将最后的case，即case _映射到None，那么你需要改变其他返回类型作为Option的孩子，因为None是Option的孩子

以下代码也应该适合您

def calculateScore  = udf((questionId: Int, answerText: String) => (questionId, answerText) match {
  case ((31 | 32 | 33 | 34 | 35), "Rarely /<br>Never") => Some(4) //this is fine
  case ((31 | 32 | 33 | 34 | 35), "Occasionally") => Some(3)
  case ((31 | 32 | 33 | 34 | 35), "Often") => Some(2)
  case ((31 | 32 | 33 | 34 | 35), "Almost always /<br>Always") => Some(1)
  case (x, "None of the time") if (x >= 41 && x < 55) => Some(1) //this line won't compile
  case _ => None
})

最后一点是你有错误信息java.lang.UnsupportedOperationException: Schema for type Any is not supported明确指出不支持返回类型为udf的Any函数。来自return types的所有match cases应该是一致的。