[SPARK-11832][CORE] Process arguments in spark-shell for Scala 2.11

Process arguments passed to the spark-shell. Fixes running the spark-shell from within a build environment.

Author: Jakob Odersky <[email protected]>

Closes #9824 from jodersky/shell-2.11.

Author: jodersky

repl/scala-2.11/src/main/scala/org/apache/spark/repl/Main.scala

@@ -31,24 +31,39 @@ object Main extends Logging {
   val tmp = System.getProperty("java.io.tmpdir")
   val rootDir = conf.get("spark.repl.classdir", tmp)
   val outputDir = Utils.createTempDir(rootDir)
-  val s = new Settings()
-  s.processArguments(List("-Yrepl-class-based",
-    "-Yrepl-outdir", s"${outputDir.getAbsolutePath}",
-    "-classpath", getAddedJars.mkString(File.pathSeparator)), true)
   // the creation of SecurityManager has to be lazy so SPARK_YARN_MODE is set if needed
   lazy val classServer = new HttpServer(conf, outputDir, new SecurityManager(conf))
   var sparkContext: SparkContext = _
   var sqlContext: SQLContext = _
   var interp = new SparkILoop // this is a public var because tests reset it.
 
+  private var hasErrors = false
+
+  private def scalaOptionError(msg: String): Unit = {
+    hasErrors = true
+    Console.err.println(msg)
+  }
+
   def main(args: Array[String]) {
-    if (getMaster == "yarn-client") System.setProperty("SPARK_YARN_MODE", "true")
-    // Start the classServer and store its URI in a spark system property
-    // (which will be passed to executors so that they can connect to it)
-    classServer.start()
-    interp.process(s) // Repl starts and goes in loop of R.E.P.L
-    classServer.stop()
-    Option(sparkContext).map(_.stop)
+   
+    val interpArguments = List(
+      "-Yrepl-class-based",
+      "-Yrepl-outdir", s"${outputDir.getAbsolutePath}",
+      "-classpath", getAddedJars.mkString(File.pathSeparator)
+    ) ++ args.toList
+
+    val settings = new Settings(scalaOptionError)
+    settings.processArguments(interpArguments, true)
+
+    if (!hasErrors) {
+      if (getMaster == "yarn-client") System.setProperty("SPARK_YARN_MODE", "true")
+      // Start the classServer and store its URI in a spark system property
+      // (which will be passed to executors so that they can connect to it)
+      classServer.start()
+      interp.process(settings) // Repl starts and goes in loop of R.E.P.L
+      classServer.stop()
+      Option(sparkContext).map(_.stop)
+    }
   }
 
   def getAddedJars: Array[String] = {

repl/scala-2.11/src/test/scala/org/apache/spark/repl/ReplSuite.scala

@@ -54,8 +54,7 @@ class ReplSuite extends SparkFunSuite {
       new SparkILoop(in, new PrintWriter(out))
     }
     org.apache.spark.repl.Main.interp = interp
-    Main.s.processArguments(List("-classpath", classpath), true)
-    Main.main(Array()) // call main
+    Main.main(Array("-classpath", classpath)) // call main
     org.apache.spark.repl.Main.interp = null
 
     if (oldExecutorClasspath != null) {