Github user sryza commented on a diff in the pull request:
https://github.com/apache/spark/pull/86#discussion_r10359483
--- Diff: core/src/main/scala/org/apache/spark/deploy/SparkApp.scala ---
@@ -0,0 +1,178 @@
+/*
+ * 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.BufferedReader
+import java.io.InputStream
+import java.io.InputStreamReader
+import java.io.PrintStream
+
+import scala.collection.mutable.HashMap
+import scala.collection.mutable.Map
+import scala.collection.mutable.ArrayBuffer
+import scala.collection.JavaConverters._
+
+object SparkApp {
+ val CLIENT = 1
+ val CLUSTER = 2
+ 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]) {
+ println("args: " + args.toList)
+ val appArgs = new SparkAppArguments(args)
+
+ if (appArgs.master != null) {
+ if (appArgs.master.startsWith("yarn")) {
--- End diff --
Definitely open to improvements over "yarn-cluster", but "yarn-batch"
doesn't sound right to me because this mode can be used to run long running
apps as well like streaming.
As this is orthogonal to spark-app, and there are a few related changes I'd
like to make, I submitted separate pull request for this. Let's continue the
discussion on https://github.com/apache/spark/pull/95.
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