diff options
| -rw-r--r-- | core/src/main/scala/org/apache/spark/scheduler/Task.scala | 2 | ||||
| -rw-r--r-- | core/src/main/scala/org/apache/spark/scheduler/TaskSchedulerImpl.scala | 2 |
2 files changed, 2 insertions, 2 deletions
diff --git a/core/src/main/scala/org/apache/spark/scheduler/Task.scala b/core/src/main/scala/org/apache/spark/scheduler/Task.scala index 2ca3479c80..5871edeb85 100644 --- a/core/src/main/scala/org/apache/spark/scheduler/Task.scala +++ b/core/src/main/scala/org/apache/spark/scheduler/Task.scala @@ -33,7 +33,7 @@ import org.apache.spark.util.ByteBufferInputStream * - [[org.apache.spark.scheduler.ResultTask]] * * A Spark job consists of one or more stages. The very last stage in a job consists of multiple - * ResultTask's, while earlier stages consist of ShuffleMapTasks. A ResultTask executes the task + * ResultTasks, while earlier stages consist of ShuffleMapTasks. A ResultTask executes the task * and sends the task output back to the driver application. A ShuffleMapTask executes the task * and divides the task output to multiple buckets (based on the task's partitioner). * diff --git a/core/src/main/scala/org/apache/spark/scheduler/TaskSchedulerImpl.scala b/core/src/main/scala/org/apache/spark/scheduler/TaskSchedulerImpl.scala index 649eed213e..17292b4c15 100644 --- a/core/src/main/scala/org/apache/spark/scheduler/TaskSchedulerImpl.scala +++ b/core/src/main/scala/org/apache/spark/scheduler/TaskSchedulerImpl.scala @@ -105,7 +105,7 @@ private[spark] class TaskSchedulerImpl( SchedulingMode.withName(schedulingModeConf.toUpperCase) } catch { case e: java.util.NoSuchElementException => - throw new SparkException(s"Urecognized spark.scheduler.mode: $schedulingModeConf") + throw new SparkException(s"Unrecognized spark.scheduler.mode: $schedulingModeConf") } // This is a var so that we can reset it for testing purposes. |