address comments

core/src/main/scala/org/apache/spark/scheduler/TaskSetManager.scala

@@ -62,14 +62,8 @@ private[spark] class TaskSetManager(
   private val addedJars = HashMap[String, Long](sched.sc.addedJars.toSeq: _*)
   private val addedFiles = HashMap[String, Long](sched.sc.addedFiles.toSeq: _*)
 
-  // Quantile of tasks at which to start speculation
-  val speculationQuantile = conf.get(SPECULATION_QUANTILE)
-  val speculationMultiplier = conf.get(SPECULATION_MULTIPLIER)
-
   val maxResultSize = conf.get(config.MAX_RESULT_SIZE)
 
-  val speculationEnabled = conf.get(SPECULATION_ENABLED)
-
   // Serializer for closures and tasks.
   val env = SparkEnv.get
   val ser = env.closureSerializer.newInstance()
@@ -80,6 +74,12 @@ private[spark] class TaskSetManager(
   val numTasks = tasks.length
   val copiesRunning = new Array[Int](numTasks)
 
+  val speculationEnabled = conf.get(SPECULATION_ENABLED)
+  // Quantile of tasks at which to start speculation
+  val speculationQuantile = conf.get(SPECULATION_QUANTILE)
+  val speculationMultiplier = conf.get(SPECULATION_MULTIPLIER)
+  val minFinishedForSpeculation = math.max((speculationQuantile * numTasks).floor.toInt, 1)
+
   // For each task, tracks whether a copy of the task has succeeded. A task will also be
   // marked as "succeeded" if it failed with a fetch failure, in which case it should not
   // be re-run because the missing map data needs to be regenerated first.
@@ -1032,7 +1032,6 @@ private[spark] class TaskSetManager(
       return false
     }
     var foundTasks = false
-    val minFinishedForSpeculation = math.max((speculationQuantile * numTasks).floor.toInt, 1)
     logDebug("Checking for speculative tasks: minFinished = " + minFinishedForSpeculation)
 
     // It's possible that a task is marked as completed by the scheduler, then the size of