Merge branch 'master' of github.com:apache/spark into submit-driver-e…

…xtra

core/pom.xml

@@ -150,7 +150,7 @@
     <dependency>
       <groupId>org.json4s</groupId>
       <artifactId>json4s-jackson_${scala.binary.version}</artifactId>
-      <version>3.2.6</version>
+      <version>3.2.10</version>
     </dependency>
     <dependency>
       <groupId>colt</groupId>

core/src/main/scala/org/apache/spark/HttpFileServer.scala

@@ -23,7 +23,10 @@ import com.google.common.io.Files
 
 import org.apache.spark.util.Utils
 
-private[spark] class HttpFileServer(securityManager: SecurityManager) extends Logging {
+private[spark] class HttpFileServer(
+    securityManager: SecurityManager,
+    requestedPort: Int = 0)
+  extends Logging {
 
   var baseDir : File = null
   var fileDir : File = null
@@ -38,7 +41,7 @@ private[spark] class HttpFileServer(securityManager: SecurityManager) extends Lo
     fileDir.mkdir()
     jarDir.mkdir()
     logInfo("HTTP File server directory is " + baseDir)
-    httpServer = new HttpServer(baseDir, securityManager)
+    httpServer = new HttpServer(baseDir, securityManager, requestedPort, "HTTP file server")
     httpServer.start()
     serverUri = httpServer.uri
     logDebug("HTTP file server started at: " + serverUri)

core/src/main/scala/org/apache/spark/HttpServer.scala

@@ -21,7 +21,7 @@ import java.io.File
 
 import org.eclipse.jetty.util.security.{Constraint, Password}
 import org.eclipse.jetty.security.authentication.DigestAuthenticator
-import org.eclipse.jetty.security.{ConstraintMapping, ConstraintSecurityHandler, HashLoginService, SecurityHandler}
+import org.eclipse.jetty.security.{ConstraintMapping, ConstraintSecurityHandler, HashLoginService}
 
 import org.eclipse.jetty.server.Server
 import org.eclipse.jetty.server.bio.SocketConnector
@@ -41,48 +41,68 @@ private[spark] class ServerStateException(message: String) extends Exception(mes
  * as well as classes created by the interpreter when the user types in code. This is just a wrapper
  * around a Jetty server.
  */
-private[spark] class HttpServer(resourceBase: File, securityManager: SecurityManager)
-    extends Logging {
+private[spark] class HttpServer(
+    resourceBase: File,
+    securityManager: SecurityManager,
+    requestedPort: Int = 0,
+    serverName: String = "HTTP server")
+  extends Logging {
+
   private var server: Server = null
-  private var port: Int = -1
+  private var port: Int = requestedPort
 
   def start() {
     if (server != null) {
       throw new ServerStateException("Server is already started")
     } else {
       logInfo("Starting HTTP Server")
-      server = new Server()
-      val connector = new SocketConnector
-      connector.setMaxIdleTime(60*1000)
-      connector.setSoLingerTime(-1)
-      connector.setPort(0)
-      server.addConnector(connector)
-
-      val threadPool = new QueuedThreadPool
-      threadPool.setDaemon(true)
-      server.setThreadPool(threadPool)
-      val resHandler = new ResourceHandler
-      resHandler.setResourceBase(resourceBase.getAbsolutePath)
-
-      val handlerList = new HandlerList
-      handlerList.setHandlers(Array(resHandler, new DefaultHandler))
-
-      if (securityManager.isAuthenticationEnabled()) {
-        logDebug("HttpServer is using security")
-        val sh = setupSecurityHandler(securityManager)
-        // make sure we go through security handler to get resources
-        sh.setHandler(handlerList)
-        server.setHandler(sh)
-      } else {
-        logDebug("HttpServer is not using security")
-        server.setHandler(handlerList)
-      }
-
-      server.start()
-      port = server.getConnectors()(0).getLocalPort()
+      val (actualServer, actualPort) =
+        Utils.startServiceOnPort[Server](requestedPort, doStart, serverName)
+      server = actualServer
+      port = actualPort
     }
   }
 
+  /**
+   * Actually start the HTTP server on the given port.
+   *
+   * Note that this is only best effort in the sense that we may end up binding to a nearby port
+   * in the event of port collision. Return the bound server and the actual port used.
+   */
+  private def doStart(startPort: Int): (Server, Int) = {
+    val server = new Server()
+    val connector = new SocketConnector
+    connector.setMaxIdleTime(60 * 1000)
+    connector.setSoLingerTime(-1)
+    connector.setPort(startPort)
+    server.addConnector(connector)
+
+    val threadPool = new QueuedThreadPool
+    threadPool.setDaemon(true)
+    server.setThreadPool(threadPool)
+    val resHandler = new ResourceHandler
+    resHandler.setResourceBase(resourceBase.getAbsolutePath)
+
+    val handlerList = new HandlerList
+    handlerList.setHandlers(Array(resHandler, new DefaultHandler))
+
+    if (securityManager.isAuthenticationEnabled()) {
+      logDebug("HttpServer is using security")
+      val sh = setupSecurityHandler(securityManager)
+      // make sure we go through security handler to get resources
+      sh.setHandler(handlerList)
+      server.setHandler(sh)
+    } else {
+      logDebug("HttpServer is not using security")
+      server.setHandler(handlerList)
+    }
+
+    server.start()
+    val actualPort = server.getConnectors()(0).getLocalPort
+
+    (server, actualPort)
+  }
+
   /**
    * Setup Jetty to the HashLoginService using a single user with our
    * shared secret. Configure it to use DIGEST-MD5 authentication so that the password
@@ -134,7 +154,7 @@ private[spark] class HttpServer(resourceBase: File, securityManager: SecurityMan
     if (server == null) {
       throw new ServerStateException("Server is not started")
     } else {
-      return "http://" + Utils.localIpAddress + ":" + port
+      "http://" + Utils.localIpAddress + ":" + port
     }
   }
 }

core/src/main/scala/org/apache/spark/SparkConf.scala

@@ -323,6 +323,14 @@ private[spark] object SparkConf {
    * the scheduler, while the rest of the spark configs can be inherited from the driver later.
    */
   def isExecutorStartupConf(name: String): Boolean = {
-    isAkkaConf(name) || name.startsWith("spark.akka") || name.startsWith("spark.auth")
+    isAkkaConf(name) ||
+    name.startsWith("spark.akka") ||
+    name.startsWith("spark.auth") ||
+    isSparkPortConf(name)
   }
+
+  /**
+   * Return whether the given config is a Spark port config.
+   */
+  def isSparkPortConf(name: String): Boolean = name.startsWith("spark.") && name.endsWith(".port")
 }

core/src/main/scala/org/apache/spark/SparkEnv.scala

@@ -22,7 +22,6 @@ import java.net.Socket
 
 import scala.collection.JavaConversions._
 import scala.collection.mutable
-import scala.concurrent.Await
 import scala.util.Properties
 
 import akka.actor._
@@ -151,10 +150,10 @@ object SparkEnv extends Logging {
     val (actorSystem, boundPort) = AkkaUtils.createActorSystem("spark", hostname, port, conf = conf,
       securityManager = securityManager)
 
-    // Bit of a hack: If this is the driver and our port was 0 (meaning bind to any free port),
-    // figure out which port number Akka actually bound to and set spark.driver.port to it.
-    if (isDriver && port == 0) {
-      conf.set("spark.driver.port",  boundPort.toString)
+    // Figure out which port Akka actually bound to in case the original port is 0 or occupied.
+    // This is so that we tell the executors the correct port to connect to.
+    if (isDriver) {
+      conf.set("spark.driver.port", boundPort.toString)
     }
 
     // Create an instance of the class named by the given Java system property, or by
@@ -222,7 +221,8 @@ object SparkEnv extends Logging {
 
     val httpFileServer =
       if (isDriver) {
-        val server = new HttpFileServer(securityManager)
+        val fileServerPort = conf.getInt("spark.fileserver.port", 0)
+        val server = new HttpFileServer(securityManager, fileServerPort)
         server.initialize()
         conf.set("spark.fileserver.uri",  server.serverUri)
         server

core/src/main/scala/org/apache/spark/broadcast/HttpBroadcast.scala

@@ -152,7 +152,8 @@ private[broadcast] object HttpBroadcast extends Logging {
 
   private def createServer(conf: SparkConf) {
     broadcastDir = Utils.createTempDir(Utils.getLocalDir(conf))
-    server = new HttpServer(broadcastDir, securityManager)
+    val broadcastPort = conf.getInt("spark.broadcast.port", 0)
+    server = new HttpServer(broadcastDir, securityManager, broadcastPort, "HTTP broadcast server")
     server.start()
     serverUri = server.uri
     logInfo("Broadcast server started at " + serverUri)

core/src/main/scala/org/apache/spark/deploy/Client.scala

@@ -155,8 +155,6 @@ object Client {
     conf.set("akka.loglevel", driverArgs.logLevel.toString.replace("WARN", "WARNING"))
     Logger.getRootLogger.setLevel(driverArgs.logLevel)
 
-    // TODO: See if we can initialize akka so return messages are sent back using the same TCP
-    //       flow. Else, this (sadly) requires the DriverClient be routable from the Master.
     val (actorSystem, _) = AkkaUtils.createActorSystem(
       "driverClient", Utils.localHostName(), 0, conf, new SecurityManager(conf))
 

core/src/main/scala/org/apache/spark/deploy/master/ui/MasterWebUI.scala

@@ -28,7 +28,7 @@ import org.apache.spark.util.AkkaUtils
  */
 private[spark]
 class MasterWebUI(val master: Master, requestedPort: Int)
-  extends WebUI(master.securityMgr, requestedPort, master.conf) with Logging {
+  extends WebUI(master.securityMgr, requestedPort, master.conf, name = "MasterUI") with Logging {
 
   val masterActorRef = master.self
   val timeout = AkkaUtils.askTimeout(master.conf)

core/src/main/scala/org/apache/spark/deploy/worker/ui/WorkerWebUI.scala

@@ -22,6 +22,7 @@ import javax.servlet.http.HttpServletRequest
 
 import org.apache.spark.{Logging, SparkConf}
 import org.apache.spark.deploy.worker.Worker
+import org.apache.spark.deploy.worker.ui.WorkerWebUI._
 import org.apache.spark.ui.{SparkUI, WebUI}
 import org.apache.spark.ui.JettyUtils._
 import org.apache.spark.util.AkkaUtils
@@ -34,7 +35,7 @@ class WorkerWebUI(
     val worker: Worker,
     val workDir: File,
     port: Option[Int] = None)
-  extends WebUI(worker.securityMgr, WorkerWebUI.getUIPort(port, worker.conf), worker.conf)
+  extends WebUI(worker.securityMgr, getUIPort(port, worker.conf), worker.conf, name = "WorkerUI")
   with Logging {
 
   val timeout = AkkaUtils.askTimeout(worker.conf)

core/src/main/scala/org/apache/spark/executor/CoarseGrainedExecutorBackend.scala

@@ -115,8 +115,9 @@ private[spark] object CoarseGrainedExecutorBackend extends Logging {
 
       // Bootstrap to fetch the driver's Spark properties.
       val executorConf = new SparkConf
+      val port = executorConf.getInt("spark.executor.port", 0)
       val (fetcher, _) = AkkaUtils.createActorSystem(
-        "driverPropsFetcher", hostname, 0, executorConf, new SecurityManager(executorConf))
+        "driverPropsFetcher", hostname, port, executorConf, new SecurityManager(executorConf))
       val driver = fetcher.actorSelection(driverUrl)
       val timeout = AkkaUtils.askTimeout(executorConf)
       val fut = Patterns.ask(driver, RetrieveSparkProps, timeout)
@@ -126,7 +127,7 @@ private[spark] object CoarseGrainedExecutorBackend extends Logging {
       // Create a new ActorSystem using driver's Spark properties to run the backend.
       val driverConf = new SparkConf().setAll(props)
       val (actorSystem, boundPort) = AkkaUtils.createActorSystem(
-        "sparkExecutor", hostname, 0, driverConf, new SecurityManager(driverConf))
+        "sparkExecutor", hostname, port, driverConf, new SecurityManager(driverConf))
       // set it
       val sparkHostPort = hostname + ":" + boundPort
       actorSystem.actorOf(

core/src/main/scala/org/apache/spark/network/ConnectionManager.scala

@@ -38,8 +38,12 @@ import scala.language.postfixOps
 import org.apache.spark._
 import org.apache.spark.util.{SystemClock, Utils}
 
-private[spark] class ConnectionManager(port: Int, conf: SparkConf,
-    securityManager: SecurityManager) extends Logging {
+private[spark] class ConnectionManager(
+    port: Int,
+    conf: SparkConf,
+    securityManager: SecurityManager,
+    name: String = "Connection manager")
+  extends Logging {
 
   class MessageStatus(
       val message: Message,
@@ -105,7 +109,11 @@ private[spark] class ConnectionManager(port: Int, conf: SparkConf,
   serverChannel.socket.setReuseAddress(true)
   serverChannel.socket.setReceiveBufferSize(256 * 1024)
 
-  serverChannel.socket.bind(new InetSocketAddress(port))
+  private def startService(port: Int): (ServerSocketChannel, Int) = {
+    serverChannel.socket.bind(new InetSocketAddress(port))
+    (serverChannel, serverChannel.socket.getLocalPort)
+  }
+  Utils.startServiceOnPort[ServerSocketChannel](port, startService, name)
   serverChannel.register(selector, SelectionKey.OP_ACCEPT)
 
   val id = new ConnectionManagerId(Utils.localHostName, serverChannel.socket.getLocalPort)

core/src/main/scala/org/apache/spark/scheduler/TaskLocality.scala

@@ -22,7 +22,7 @@ import org.apache.spark.annotation.DeveloperApi
 @DeveloperApi
 object TaskLocality extends Enumeration {
   // Process local is expected to be used ONLY within TaskSetManager for now.
-  val PROCESS_LOCAL, NODE_LOCAL, RACK_LOCAL, ANY = Value
+  val PROCESS_LOCAL, NODE_LOCAL, NO_PREF, RACK_LOCAL, ANY = Value
 
   type TaskLocality = Value
 

core/src/main/scala/org/apache/spark/scheduler/TaskSchedulerImpl.scala

@@ -89,11 +89,11 @@ private[spark] class TaskSchedulerImpl(
 
   // The set of executors we have on each host; this is used to compute hostsAlive, which
   // in turn is used to decide when we can attain data locality on a given host
-  private val executorsByHost = new HashMap[String, HashSet[String]]
+  protected val executorsByHost = new HashMap[String, HashSet[String]]
 
   protected val hostsByRack = new HashMap[String, HashSet[String]]
 
-  private val executorIdToHost = new HashMap[String, String]
+  protected val executorIdToHost = new HashMap[String, String]
 
   // Listener object to pass upcalls into
   var dagScheduler: DAGScheduler = null
@@ -249,6 +249,7 @@ private[spark] class TaskSchedulerImpl(
 
     // Take each TaskSet in our scheduling order, and then offer it each node in increasing order
     // of locality levels so that it gets a chance to launch local tasks on all of them.
+    // NOTE: the preferredLocality order: PROCESS_LOCAL, NODE_LOCAL, NO_PREF, RACK_LOCAL, ANY
     var launchedTask = false
     for (taskSet <- sortedTaskSets; maxLocality <- taskSet.myLocalityLevels) {
       do {
@@ -265,7 +266,7 @@ private[spark] class TaskSchedulerImpl(
               activeExecutorIds += execId
               executorsByHost(host) += execId
               availableCpus(i) -= CPUS_PER_TASK
-              assert (availableCpus(i) >= 0)
+              assert(availableCpus(i) >= 0)
               launchedTask = true
             }
           }