style

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

@@ -1108,8 +1108,8 @@ class DAGScheduler(
         } else {
 
           // It is likely that we receive multiple FetchFailed for a single stage (because we have
-          // multiple tasks running concurrently on different executors). In that case, it is possible
-          // the fetch failure has already been handled by the scheduler.
+          // multiple tasks running concurrently on different executors). In that case, it is
+          // possible the fetch failure has already been handled by the scheduler.
           if (runningStages.contains(failedStage)) {
             logInfo(s"Marking $failedStage (${failedStage.name}) as failed " +
               s"due to a fetch failure from $mapStage (${mapStage.name})")

core/src/test/scala/org/apache/spark/scheduler/DAGSchedulerSuite.scala

@@ -611,15 +611,16 @@ class DAGSchedulerSuite
     sc.listenerBus.waitUntilEmpty(WAIT_TIMEOUT_MILLIS)
     assert(countSubmittedMapStageAttempts() === 2)
 
-    // NOTE: the actual ResubmitFailedStages may get called at any time during this, shouldn't effect anything --
-    // our calling it just makes *SURE* it gets called between the desired event and our check.
-
+    // NOTE: the actual ResubmitFailedStages may get called at any time during this, shouldn't
+    // effect anything -- our calling it just makes *SURE* it gets called between the desired event
+    // and our check.
   }
 
   /** This tests the case where a late FetchFailed comes in after the map stage has finished getting
     * retried and a new reduce stage starts running.
     */
-  test("extremely late fetch failures don't cause multiple concurrent attempts for the same stage") {
+  test("extremely late fetch failures don't cause multiple concurrent attempts for " +
+      "the same stage") {
     val shuffleMapRdd = new MyRDD(sc, 2, Nil)
     val shuffleDep = new ShuffleDependency(shuffleMapRdd, null)
     val shuffleId = shuffleDep.shuffleId