Github user erenavsarogullari commented on a diff in the pull request:

    https://github.com/apache/spark/pull/16905#discussion_r101164858
  
    --- Diff: 
core/src/main/scala/org/apache/spark/scheduler/TaskSchedulerImpl.scala ---
    @@ -130,15 +130,17 @@ private[spark] class TaskSchedulerImpl 
private[scheduler](
     
       val mapOutputTracker = SparkEnv.get.mapOutputTracker
     
    -  var schedulableBuilder: SchedulableBuilder = null
    +  private val SCHEDULER_MODE_PROPERTY = "spark.scheduler.mode"
    +  private var schedulableBuilder: SchedulableBuilder = null
       var rootPool: Pool = null
       // default scheduler is FIFO
    -  private val schedulingModeConf = conf.get("spark.scheduler.mode", "FIFO")
    +  private val schedulingModeConf = conf.get(SCHEDULER_MODE_PROPERTY, 
SchedulingMode.FIFO.toString)
       val schedulingMode: SchedulingMode = try {
         SchedulingMode.withName(schedulingModeConf.toUpperCase)
       } catch {
         case e: java.util.NoSuchElementException =>
    -      throw new SparkException(s"Unrecognized spark.scheduler.mode: 
$schedulingModeConf")
    +      throw new SparkException(s"Unrecognized $SCHEDULER_MODE_PROPERTY: 
$schedulingModeConf. " +
    +        s"Supported modes: ${SchedulingMode.FAIR} or 
${SchedulingMode.FIFO}.")
    --- End diff --
    
    `SchedulingMode` possible values are `FIFO`, `FAIR` and `NONE` but `NONE` 
is _unsupported_ value. I agree to support for potential values and it can be 
achieved by adding following logic to `SchedulingMode` object and can be used 
required places(2 times here and 1 time at `Pool`)
    `def getSupportedValuesAsString(): String = values.filter(_ != 
NONE).mkString(", ")
    SchedulingMode.getSupportedValuesAsString() // returns FIFO, FAIR`
    WDYT?


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