Fix more scalastyle warnings in yarn

Author: srowen

yarn/stable/src/main/scala/org/apache/spark/deploy/yarn/ApplicationMaster.scala

@@ -137,7 +137,8 @@ class ApplicationMaster(args: ApplicationMasterArguments, conf: Configuration,
       System.getenv(ApplicationConstants.APPLICATION_WEB_PROXY_BASE_ENV)
 
     val params = "PROXY_HOST=" + parts(0) + "," + "PROXY_URI_BASE=" + uriBase
-    System.setProperty("spark.org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter.params", params)
+    System.setProperty(
+      "spark.org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter.params", params)
   }
 
   /** Get the Yarn approved local directories. */

yarn/stable/src/main/scala/org/apache/spark/deploy/yarn/ExecutorLauncher.scala

@@ -65,7 +65,8 @@ class ExecutorLauncher(args: ApplicationMasterArguments, conf: Configuration, sp
     override def preStart() {
       logInfo("Listen to driver: " + driverUrl)
       driver = context.actorSelection(driverUrl)
-      // Send a hello message thus the connection is actually established, thus we can monitor Lifecycle Events.
+      // Send a hello message thus the connection is actually established,
+      // thus we can monitor Lifecycle Events.
       driver ! "Hello"
       context.system.eventStream.subscribe(self, classOf[RemotingLifecycleEvent])
     }
@@ -95,8 +96,9 @@ class ExecutorLauncher(args: ApplicationMasterArguments, conf: Configuration, sp
     // Allocate all containers
     allocateExecutors()
 
-    // Launch a progress reporter thread, else app will get killed after expiration (def: 10mins) timeout
-    // ensure that progress is sent before YarnConfiguration.RM_AM_EXPIRY_INTERVAL_MS elapse.
+    // Launch a progress reporter thread, else app will get killed after expiration
+    // (def: 10mins) timeout ensure that progress is sent before
+    // YarnConfiguration.RM_AM_EXPIRY_INTERVAL_MS elapse.
 
     val timeoutInterval = yarnConf.getInt(YarnConfiguration.RM_AM_EXPIRY_INTERVAL_MS, 120000)
     // we want to be reasonably responsive without causing too many requests to RM.

yarn/stable/src/main/scala/org/apache/spark/deploy/yarn/YarnAllocationHandler.scala

@@ -276,7 +276,8 @@ private[yarn] class YarnAllocationHandler(
               allocatedRackCount.put(rack, allocatedRackCount.getOrElse(rack, 0) + 1)
             }
           }
-          logInfo("Launching ExecutorRunnable. driverUrl: %s,  executorHostname: %s".format(driverUrl, executorHostname))
+          logInfo("Launching ExecutorRunnable. driverUrl: %s,  executorHostname: %s".format(
+            driverUrl, executorHostname))
           val executorRunnable = new ExecutorRunnable(
             container,
             conf,
@@ -314,8 +315,8 @@ private[yarn] class YarnAllocationHandler(
           // `pendingReleaseContainers`.
           pendingReleaseContainers.remove(containerId)
         } else {
-          // Decrement the number of executors running. The next iteration of the ApplicationMaster's
-          // reporting thread will take care of allocating.
+          // Decrement the number of executors running. The next iteration of
+          // the ApplicationMaster's reporting thread will take care of allocating.
           numExecutorsRunning.decrementAndGet()
           logInfo("Completed container %s (state: %s, exit status: %s)".format(
             containerId,