Scala and Spark for Big Data Analytics

Catching exception using try and catch

Scala allows you to try/catch any exception in a single block and then perform pattern matching against it using case blocks. The basic syntax of using try...catch in Scala is as follows:

try{  // your scala code should go here} catch{  case foo: FooException => handleFooException(foo)  case bar: BarException => handleBarException(bar)  case _: Throwable => println("Got some other kind of exception")}finally{  // your scala code should go here, such as to close a database connection }

Thus, if you throw an exception, then you need to use the try...catch block in order to handle it nicely without crashing with an internal exception message:

package com.chapter3.ScalaFPimport java.io.IOExceptionimport java.io.FileReader ...