Renamed ClusterScheduler to TaskSchedulerImpl for yarn and new-yarn

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

@@ -28,7 +28,8 @@ import scala.collection.mutable.{ArrayBuffer, HashMap, HashSet}
 
 import org.apache.spark.Logging
 import org.apache.spark.scheduler.SplitInfo
-import org.apache.spark.scheduler.cluster.{ClusterScheduler, CoarseGrainedSchedulerBackend}
+import org.apache.spark.scheduler.TaskSchedulerImpl
+import org.apache.spark.scheduler.cluster.CoarseGrainedSchedulerBackend
 import org.apache.spark.util.Utils
 
 import org.apache.hadoop.conf.Configuration
@@ -233,9 +234,9 @@ private[yarn] class YarnAllocationHandler(
       // Note that the list we create below tries to ensure that not all containers end up within
       // a host if there is a sufficiently large number of hosts/containers.
       val allocatedContainersToProcess = new ArrayBuffer[Container](allocatedContainers.size)
-      allocatedContainersToProcess ++= ClusterScheduler.prioritizeContainers(dataLocalContainers)
-      allocatedContainersToProcess ++= ClusterScheduler.prioritizeContainers(rackLocalContainers)
-      allocatedContainersToProcess ++= ClusterScheduler.prioritizeContainers(offRackContainers)
+      allocatedContainersToProcess ++= TaskSchedulerImpl.prioritizeContainers(dataLocalContainers)
+      allocatedContainersToProcess ++= TaskSchedulerImpl.prioritizeContainers(rackLocalContainers)
+      allocatedContainersToProcess ++= TaskSchedulerImpl.prioritizeContainers(offRackContainers)
 
       // Run each of the allocated containers.
       for (container <- allocatedContainersToProcess) {

new-yarn/src/main/scala/org/apache/spark/scheduler/cluster/YarnClientClusterScheduler.scala

@@ -21,12 +21,13 @@ import org.apache.spark._
 import org.apache.hadoop.conf.Configuration
 import org.apache.spark.deploy.yarn.YarnAllocationHandler
 import org.apache.spark.util.Utils
+import org.apache.spark.scheduler.TaskSchedulerImpl
 
 /**
  *
  * This scheduler launch worker through Yarn - by call into Client to launch WorkerLauncher as AM.
  */
-private[spark] class YarnClientClusterScheduler(sc: SparkContext, conf: Configuration) extends ClusterScheduler(sc) {
+private[spark] class YarnClientClusterScheduler(sc: SparkContext, conf: Configuration) extends TaskSchedulerImpl(sc) {
 
   def this(sc: SparkContext) = this(sc, new Configuration())
 

new-yarn/src/main/scala/org/apache/spark/scheduler/cluster/YarnClientSchedulerBackend.scala

@@ -20,9 +20,10 @@ package org.apache.spark.scheduler.cluster
 import org.apache.hadoop.yarn.api.records.{ApplicationId, YarnApplicationState}
 import org.apache.spark.{SparkException, Logging, SparkContext}
 import org.apache.spark.deploy.yarn.{Client, ClientArguments}
+import org.apache.spark.scheduler.TaskSchedulerImpl
 
 private[spark] class YarnClientSchedulerBackend(
-    scheduler: ClusterScheduler,
+    scheduler: TaskSchedulerImpl,
     sc: SparkContext)
   extends CoarseGrainedSchedulerBackend(scheduler, sc.env.actorSystem)
   with Logging {

new-yarn/src/main/scala/org/apache/spark/scheduler/cluster/YarnClusterScheduler.scala

@@ -21,12 +21,13 @@ import org.apache.spark._
 import org.apache.spark.deploy.yarn.{ApplicationMaster, YarnAllocationHandler}
 import org.apache.spark.util.Utils
 import org.apache.hadoop.conf.Configuration
+import org.apache.spark.scheduler.TaskSchedulerImpl
 
 /**
  *
  * This is a simple extension to ClusterScheduler - to ensure that appropriate initialization of ApplicationMaster, etc is done
  */
-private[spark] class YarnClusterScheduler(sc: SparkContext, conf: Configuration) extends ClusterScheduler(sc) {
+private[spark] class YarnClusterScheduler(sc: SparkContext, conf: Configuration) extends TaskSchedulerImpl(sc) {
 
   logInfo("Created YarnClusterScheduler")
 

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

@@ -28,7 +28,8 @@ import scala.collection.mutable.{ArrayBuffer, HashMap, HashSet}
 
 import org.apache.spark.Logging
 import org.apache.spark.scheduler.SplitInfo
-import org.apache.spark.scheduler.cluster.{ClusterScheduler, CoarseGrainedSchedulerBackend}
+import org.apache.spark.scheduler.TaskSchedulerImpl
+import org.apache.spark.scheduler.cluster.CoarseGrainedSchedulerBackend
 import org.apache.spark.util.Utils
 
 import org.apache.hadoop.conf.Configuration
@@ -214,9 +215,9 @@ private[yarn] class YarnAllocationHandler(
       // host if there are sufficiently large number of hosts/containers.
 
       val allocatedContainers = new ArrayBuffer[Container](_allocatedContainers.size)
-      allocatedContainers ++= ClusterScheduler.prioritizeContainers(dataLocalContainers)
-      allocatedContainers ++= ClusterScheduler.prioritizeContainers(rackLocalContainers)
-      allocatedContainers ++= ClusterScheduler.prioritizeContainers(offRackContainers)
+      allocatedContainers ++= TaskSchedulerImpl.prioritizeContainers(dataLocalContainers)
+      allocatedContainers ++= TaskSchedulerImpl.prioritizeContainers(rackLocalContainers)
+      allocatedContainers ++= TaskSchedulerImpl.prioritizeContainers(offRackContainers)
 
       // Run each of the allocated containers
       for (container <- allocatedContainers) {

yarn/src/main/scala/org/apache/spark/scheduler/cluster/YarnClientClusterScheduler.scala

@@ -20,13 +20,14 @@ package org.apache.spark.scheduler.cluster
 import org.apache.spark._
 import org.apache.hadoop.conf.Configuration
 import org.apache.spark.deploy.yarn.YarnAllocationHandler
+import org.apache.spark.scheduler.TaskSchedulerImpl
 import org.apache.spark.util.Utils
 
 /**
  *
  * This scheduler launch worker through Yarn - by call into Client to launch WorkerLauncher as AM.
  */
-private[spark] class YarnClientClusterScheduler(sc: SparkContext, conf: Configuration) extends ClusterScheduler(sc) {
+private[spark] class YarnClientClusterScheduler(sc: SparkContext, conf: Configuration) extends TaskSchedulerImpl(sc) {
 
   def this(sc: SparkContext) = this(sc, new Configuration())
 

yarn/src/main/scala/org/apache/spark/scheduler/cluster/YarnClientSchedulerBackend.scala

@@ -20,9 +20,10 @@ package org.apache.spark.scheduler.cluster
 import org.apache.hadoop.yarn.api.records.{ApplicationId, YarnApplicationState}
 import org.apache.spark.{SparkException, Logging, SparkContext}
 import org.apache.spark.deploy.yarn.{Client, ClientArguments}
+import org.apache.spark.scheduler.TaskSchedulerImpl
 
 private[spark] class YarnClientSchedulerBackend(
-    scheduler: ClusterScheduler,
+    scheduler: TaskSchedulerImpl,
     sc: SparkContext)
   extends CoarseGrainedSchedulerBackend(scheduler, sc.env.actorSystem)
   with Logging {

yarn/src/main/scala/org/apache/spark/scheduler/cluster/YarnClusterScheduler.scala

@@ -21,7 +21,7 @@ import org.apache.hadoop.conf.Configuration
 
 import org.apache.spark._
 import org.apache.spark.deploy.yarn.{ApplicationMaster, YarnAllocationHandler}
-import org.apache.spark.scheduler.ClusterScheduler
+import org.apache.spark.scheduler.TaskSchedulerImpl
 import org.apache.spark.util.Utils
 
 /**
@@ -30,7 +30,7 @@ import org.apache.spark.util.Utils
  * ApplicationMaster, etc. is done
  */
 private[spark] class YarnClusterScheduler(sc: SparkContext, conf: Configuration)
-  extends ClusterScheduler(sc) {
+  extends TaskSchedulerImpl(sc) {
 
   logInfo("Created YarnClusterScheduler")