[SPARK-1667] Jobs never finish successfully once bucket file missing occurred

If jobs execute shuffle, bucket files are created in a temporary directory (named like spark-local-*).
When the bucket files are missing cased by disk failure or any reasons, jobs cannot execute shuffle which has same shuffle id for the bucket files.

I think when Executors cannot read bucket files from their local directory (spark-local-*), they should abort and marked as lost.
In this case, Executor which has bucket files throw FileNotFoundException, so I think, we should handle IOException as fatal in Utils.scala to abort.

After I modified the code as follows, an Executor which fetches bucket files from failed Executor could retry to fetch from another Executor.


    def isFatalError(e: Throwable): Boolean = {                                                                                                                 
      e match {                                                                                                                                                 
        case _: IOException =>                                                                                                                                  
          true                                                                                                                                                  
        case NonFatal(_) | _: InterruptedException | _: NotImplementedError | _: ControlThrowable =>                                                            
          false                                                                                                                                                 
        case _ =>                                                                                                                                               
          true                                                                                                                                                  
      }                                                                                                                                                           
    }