Github user sryza commented on a diff in the pull request:
https://github.com/apache/spark/pull/86#discussion_r10399046
--- Diff: core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala ---
@@ -0,0 +1,160 @@
+/*
+ * 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.deploy
+
+import java.io.File
+import java.net.URL
+import java.net.URLClassLoader
+
+import scala.collection.mutable.ArrayBuffer
+
+object SparkSubmit {
+ val YARN = 1
+ val STANDALONE = 2
+ val MESOS = 4
+ val LOCAL = 8
+ val ALL_CLUSTER_MGRS = YARN | STANDALONE | MESOS | LOCAL
+
+ var clusterManager: Int = LOCAL
+
+ def main(args: Array[String]) {
+ val appArgs = new SparkSubmitArguments(args)
+
+ if (appArgs.master != null) {
+ if (appArgs.master.startsWith("yarn")) {
+ clusterManager = YARN
+ } else if (appArgs.master.startsWith("spark")) {
+ clusterManager = STANDALONE
+ } else if (appArgs.master.startsWith("mesos")) {
+ clusterManager = MESOS
+ } else if (appArgs.master.startsWith("local")) {
+ clusterManager = LOCAL
+ } else {
+ System.err.println("master must start with yarn, mesos, spark, or
local")
+ System.exit(1)
+ }
+ }
+
+ val deployOnCluster = appArgs.deployMode == "cluster"
--- End diff --
On the other hand, it might make more sense to move towards consistency
between yarn and standalone/mesos, for which MASTER only specifies the cluster
manager, and not the application's deploy mode. For this, we would allow just
giving --master to spark-submit as "yarn", and yarn-client vs. yarn-standalone
would be inferred depending on --deploy-mode.
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