nadav-har-tzvi commented on a change in pull request #32: Amaterasu 35
URL: https://github.com/apache/incubator-amaterasu/pull/32#discussion_r206435900
 
 

 ##########
 File path: 
frameworks/spark/dispatcher/src/main/scala/org/apache/amaterasu/frameworks/spark/dispatcher/runners/providers/SparkScalaRunnerProvider.scala
 ##########
 @@ -0,0 +1,57 @@
+/*
+ * 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.amaterasu.frameworks.spark.dispatcher.runners.providers
+
+import java.net.URLEncoder
+
+import org.apache.amaterasu.common.configuration.ClusterConfig
+import org.apache.amaterasu.common.dataobjects.ActionData
+import org.apache.amaterasu.leader.common.utilities.DataLoader
+import org.apache.amaterasu.sdk.frameworks.RunnerSetupProvider
+import org.apache.hadoop.yarn.api.ApplicationConstants
+
+class SparkScalaRunnerProvider extends RunnerSetupProvider {
+
+  private var conf: ClusterConfig = _
+
+  override def getCommand(jobId: String, actionData: ActionData, env: String, 
executorId: String): String = conf.mode match {
+    case "mesos" => s"""env AMA_NODE=${sys.env("AMA_NODE")} env 
MESOS_NATIVE_JAVA_LIBRARY=/usr/lib/libmesos.so env 
SPARK_EXECUTOR_URI=http://${sys.env("AMA_NODE")}:${conf.Webserver.Port}/dist/spark-${conf.Webserver.sparkVersion}.tgz
 java -cp 
executor-${conf.version}-all.jar:spark-runner-${conf.version}-all.jar:spark-runtime-${conf.version}.jar:spark-${conf.Webserver.sparkVersion}/jars/*
 -Dscala.usejavacp=true -Djava.library.path=/usr/lib 
org.apache.amaterasu.executor.mesos.executors.MesosActionsExecutor $jobId 
${conf.master} ${actionData.name}""".stripMargin
 
 Review comment:
   Same points as in PySpark.
   Also, I wonder if we can somehow make some of these configurations shared 
between Spark-Scala and PySpark.

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