change some typo and some spacing

3 files changed, 10 insertions, 11 deletions

diff --git a/core/src/main/scala/spark/SparkContext.scala b/core/src/main/scala/spark/SparkContext.scala
index 6eccb501c7..ed5f686379 100644
--- a/core/src/main/scala/spark/SparkContext.scala
+++ b/core/src/main/scala/spark/SparkContext.scala
@@ -74,7 +74,7 @@ class SparkContext(
   if (System.getProperty("spark.driver.port") == null) {
     System.setProperty("spark.driver.port", "0")
   }
-  
+
   //Set the default task scheduler
   if (System.getProperty("spark.cluster.taskscheduler") == null) {
     System.setProperty("spark.cluster.taskscheduler", "spark.scheduler.cluster.FIFOTaskSetQueuesManager")
@@ -119,7 +119,7 @@ class SparkContext(
     }
   }
   executorEnvs ++= environment
-  
+
   // Create and start the scheduler
   private var taskScheduler: TaskScheduler = {
     // Regular expression used for local[N] master format
@@ -216,14 +216,14 @@ class SparkContext(
   }
 
   private[spark] var checkpointDir: Option[String] = None
-  
+
   // Thread Local variable that can be used by users to pass information down the stack
   private val localProperties = new DynamicVariable[Properties](null)
-  
+
   def initLocalProperties() {
       localProperties.value = new Properties()
   }
-  
+
   def addLocalProperties(key: String, value: String) {
     if(localProperties.value == null) {
       localProperties.value = new Properties()
@@ -673,7 +673,7 @@ class SparkContext(
     val processFunc = (context: TaskContext, iter: Iterator[T]) => processPartition(iter)
     runJob[T, U](rdd, processFunc, 0 until rdd.partitions.size, false, resultHandler)
   }
-  
+
   /**
    * Run a job that can return approximate results.
    */
diff --git a/core/src/main/scala/spark/scheduler/DAGScheduler.scala b/core/src/main/scala/spark/scheduler/DAGScheduler.scala
index 0a64a4f041..abc24c0270 100644
--- a/core/src/main/scala/spark/scheduler/DAGScheduler.scala
+++ b/core/src/main/scala/spark/scheduler/DAGScheduler.scala
@@ -333,7 +333,7 @@ class DAGScheduler(
       submitStage(stage)
     }
   }
-  
+
   /**
    * Check for waiting or failed stages which are now eligible for resubmission.
    * Ordinarily run on every iteration of the event loop.
@@ -720,7 +720,7 @@ class DAGScheduler(
     sizeBefore = shuffleToMapStage.size
     shuffleToMapStage.clearOldValues(cleanupTime)
     logInfo("shuffleToMapStage " + sizeBefore + " --> " + shuffleToMapStage.size)
-    
+
     sizeBefore = pendingTasks.size
     pendingTasks.clearOldValues(cleanupTime)
     logInfo("pendingTasks " + sizeBefore + " --> " + pendingTasks.size)
diff --git a/core/src/main/scala/spark/scheduler/Stage.scala b/core/src/main/scala/spark/scheduler/Stage.scala
index bc54cd601d..7fc9e13fd9 100644
--- a/core/src/main/scala/spark/scheduler/Stage.scala
+++ b/core/src/main/scala/spark/scheduler/Stage.scala
@@ -5,7 +5,6 @@ import java.net.URI
 import spark._
 import spark.storage.BlockManagerId
 
-
 /**
  * A stage is a set of independent tasks all computing the same function that need to run as part
  * of a Spark job, where all the tasks have the same shuffle dependencies. Each DAG of tasks run
@@ -27,7 +26,7 @@ private[spark] class Stage(
     val parents: List[Stage],
     val priority: Int)
   extends Logging {
-  
+
   val isShuffleMap = shuffleDep != None
   val numPartitions = rdd.partitions.size
   val outputLocs = Array.fill[List[MapStatus]](numPartitions)(Nil)
@@ -61,7 +60,7 @@ private[spark] class Stage(
       numAvailableOutputs -= 1
     }
   }
- 
+
   def removeOutputsOnExecutor(execId: String) {
     var becameUnavailable = false
     for (partition <- 0 until numPartitions) {