Fix yarn build

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

@@ -22,7 +22,7 @@ import org.apache.spark.util.Utils
 import org.apache.spark.scheduler.SplitInfo
 import scala.collection
 import org.apache.hadoop.yarn.api.records.{AMResponse, ApplicationAttemptId, ContainerId, Priority, Resource, ResourceRequest, ContainerStatus, Container}
-import org.apache.spark.scheduler.cluster.{ClusterScheduler, StandaloneSchedulerBackend}
+import org.apache.spark.scheduler.cluster.{ClusterScheduler, CoarseGrainedSchedulerBackend}
 import org.apache.hadoop.yarn.api.protocolrecords.{AllocateRequest, AllocateResponse}
 import org.apache.hadoop.yarn.util.{RackResolver, Records}
 import java.util.concurrent.{CopyOnWriteArrayList, ConcurrentHashMap}
@@ -211,7 +211,7 @@ private[yarn] class YarnAllocationHandler(val conf: Configuration, val resourceM
           val workerId = workerIdCounter.incrementAndGet().toString
           val driverUrl = "akka://spark@%s:%s/user/%s".format(
             System.getProperty("spark.driver.host"), System.getProperty("spark.driver.port"),
-            StandaloneSchedulerBackend.ACTOR_NAME)
+            CoarseGrainedSchedulerBackend.ACTOR_NAME)
 
           logInfo("launching container on " + containerId + " host " + workerHostname)
           // just to be safe, simply remove it from pendingReleaseContainers. Should not be there, but ..