Github user rxin commented on a diff in the pull request:
https://github.com/apache/spark/pull/12641#discussion_r60835052
--- Diff:
core/src/main/scala/org/apache/spark/scheduler/YarnClusterManager.scala ---
@@ -0,0 +1,80 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.scheduler
+
+import org.apache.spark.{SparkContext, SparkException}
+import org.apache.spark.scheduler.cluster.CoarseGrainedSchedulerBackend
+import org.apache.spark.util.Utils
+
+/**
+ * Cluster Manager for creation of Yarn scheduler and backend
+ */
+class YarnClusterManager extends ExternalClusterManager {
+
+ def canCreate(masterURL: String): Boolean = {
+ masterURL == "yarn"
+ }
+
+ def createTaskScheduler(sc: SparkContext, masterURL: String):
TaskScheduler = {
+
+ val className = if (sc.deployMode == "cluster") {
+ "org.apache.spark.scheduler.cluster.YarnClusterScheduler"
+ } else if (sc.deployMode == "client") {
+ "org.apache.spark.scheduler.cluster.YarnScheduler"
+ } else {
+ throw new SparkException(s"Unknown deploy mode '${sc.deployMode}'
for Yarn")
+ }
+ try {
+ val clazz = Utils.classForName(className)
+ val cons = clazz.getConstructor(classOf[SparkContext])
+ cons.newInstance(sc).asInstanceOf[TaskSchedulerImpl]
+ } catch {
+ // TODO: Enumerate the exact reasons why it can fail
+ // But irrespective of it, it means we cannot proceed !
+ case e: Exception =>
+ throw new SparkException("YARN mode not available ?", e)
+ }
+
+ }
+
+ def createSchedulerBackend(sc: SparkContext,
+ masterURL: String,
+ scheduler: TaskScheduler): SchedulerBackend = {
+
+ val className = if (sc.deployMode == "cluster") {
+ "org.apache.spark.scheduler.cluster.YarnClusterSchedulerBackend"
+ } else if (sc.deployMode == "client") {
+ "org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend"
+ } else {
+ throw new SparkException(s"Unknown deploy mode '${sc.deployMode}'
for Yarn")
+ }
+ try {
+ val clazz =
+ Utils.classForName(className)
--- End diff --
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