Scala Spark中是否有类似的API和twitter.spothing.addTrap来处理异常

我正在将一个项目从hadoop移植到Spark 2.1.0。以前，它使用twitter.spothing.addTrap处理异常，如：

对于Spark，我使用sc.textFile（InputPath）读取输入，但我不知道如何执行以前的异常处理功能。

您可以使用

---

最后，我使用collectionAccumulator收集异常行，并在程序结束时保存它们。谢谢你的回复~

import scala.io.StdIn
import scala.util.{Try, Success, Failure}

def divide: Try[Int] = {
    val dividend = Try(StdIn.readLine("Enter an Int that you'd like to divide:\n").toInt)
    val divisor = Try(StdIn.readLine("Enter an Int that you'd like to divide by:\n").toInt)
    val problem = dividend.flatMap(x => divisor.map(y => x/y))
    problem match {
        case Success(v) =>
            println("Result of " + dividend.get + "/"+ divisor.get +" is: " + v)
            Success(v)
        case Failure(e) =>
            println("You must've divided by zero or entered something that's not an Int. Try again!")
            println("Info from the exception: " + e.getMessage)
            divide
    }
}