Merge remote-tracking branch 'old/master'

49 files changed, 950 insertions, 138 deletions

diff --git a/LICENSE b/LICENSE
index d645695673..1c166d1333 100644
--- a/LICENSE
+++ b/LICENSE
@@ -200,3 +200,199 @@
    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.
+
+
+=======================================================================
+Apache Spark Subcomponents:
+
+The Apache Spark project contains subcomponents with separate copyright
+notices and license terms. Your use of the source code for the these
+subcomponents is subject to the terms and conditions of the following
+licenses.
+
+
+=======================================================================
+For the Boto EC2 library (ec2/third_party/boto*.zip):
+=======================================================================
+
+Copyright (c) 2006-2008 Mitch Garnaat http://garnaat.org/
+
+Permission is hereby granted, free of charge, to any person obtaining a
+copy of this software and associated documentation files (the
+"Software"), to deal in the Software without restriction, including
+without limitation the rights to use, copy, modify, merge, publish, dis-
+tribute, sublicense, and/or sell copies of the Software, and to permit
+persons to whom the Software is furnished to do so, subject to the fol-
+lowing conditions:
+
+The above copyright notice and this permission notice shall be included
+in all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
+OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABIL-
+ITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT
+SHALL THE AUTHOR BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, 
+WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS
+IN THE SOFTWARE.
+
+
+========================================================================
+For CloudPickle (pyspark/cloudpickle.py):
+========================================================================
+
+Copyright (c) 2012, Regents of the University of California.
+Copyright (c) 2009 `PiCloud, Inc. <http://www.picloud.com>`_.
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions
+are met:
+    * Redistributions of source code must retain the above copyright
+      notice, this list of conditions and the following disclaimer.
+    * Redistributions in binary form must reproduce the above copyright
+      notice, this list of conditions and the following disclaimer in the
+      documentation and/or other materials provided with the distribution.
+    * Neither the name of the University of California, Berkeley nor the
+      names of its contributors may be used to endorse or promote
+      products derived from this software without specific prior written
+      permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
+HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
+SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED
+TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
+PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
+LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
+NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+
+========================================================================
+For Py4J (python/lib/py4j0.7.egg and files in assembly/lib/net/sf/py4j):
+========================================================================
+
+Copyright (c) 2009-2011, Barthelemy Dagenais All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+- Redistributions of source code must retain the above copyright notice, this
+list of conditions and the following disclaimer.
+
+- Redistributions in binary form must reproduce the above copyright notice,
+this list of conditions and the following disclaimer in the documentation
+and/or other materials provided with the distribution.
+
+- The name of the author may not be used to endorse or promote products
+derived from this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
+ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE
+LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
+CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
+SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
+INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
+CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
+ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
+POSSIBILITY OF SUCH DAMAGE.
+
+
+========================================================================
+For DPark join code (python/pyspark/join.py):
+========================================================================
+
+Copyright (c) 2011, Douban Inc. <http://www.douban.com/>
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are
+met:
+
+    * Redistributions of source code must retain the above copyright
+notice, this list of conditions and the following disclaimer.
+
+    * Redistributions in binary form must reproduce the above
+copyright notice, this list of conditions and the following disclaimer
+in the documentation and/or other materials provided with the
+distribution.
+
+    * Neither the name of the Douban Inc. nor the names of its
+contributors may be used to endorse or promote products derived from
+this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
+OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
+SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
+LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
+DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
+THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+
+========================================================================
+For sorttable (core/src/main/resources/org/apache/spark/ui/static/sorttable.js):
+========================================================================
+
+Copyright (c) 1997-2007 Stuart Langridge
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+THE SOFTWARE.
+
+
+========================================================================
+For Scala Interpreter classes (all .scala files in repl/src/main/scala
+except for Main.Scala, SparkHelper.scala and ExecutorClassLoader.scala):
+========================================================================
+
+Copyright (c) 2002-2013 EPFL
+Copyright (c) 2011-2013 Typesafe, Inc.
+
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+- Redistributions of source code must retain the above copyright notice,
+  this list of conditions and the following disclaimer.
+
+- Redistributions in binary form must reproduce the above copyright notice,
+  this list of conditions and the following disclaimer in the documentation
+  and/or other materials provided with the distribution.
+
+- Neither the name of the EPFL nor the names of its contributors may be
+  used to endorse or promote products derived from this software without
+  specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
+ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
+LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
+CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
+SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
+INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
+CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
+ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
+POSSIBILITY OF SUCH DAMAGE.
diff --git a/README.md b/README.md
index 11bf8edb3b..28ad1e4604 100644
--- a/README.md
+++ b/README.md
@@ -89,6 +89,17 @@ Please refer to the [Configuration guide](http://spark.incubator.apache.org/docs
 in the online documentation for an overview on how to configure Spark.
 
 
+## Apache Incubator Notice
+
+Apache Spark is an effort undergoing incubation at The Apache Software
+Foundation (ASF), sponsored by the Apache Incubator. Incubation is required of
+all newly accepted projects until a further review indicates that the
+infrastructure, communications, and decision making process have stabilized in
+a manner consistent with other successful ASF projects. While incubation status
+is not necessarily a reflection of the completeness or stability of the code,
+it does indicate that the project has yet to be fully endorsed by the ASF.
+
+
 ## Contributing to Spark
 
 Contributions via GitHub pull requests are gladly accepted from their original
diff --git a/bin/compute-classpath.cmd b/bin/compute-classpath.cmd
index 9178b852e6..cf38188c4b 100644
--- a/bin/compute-classpath.cmd
+++ b/bin/compute-classpath.cmd
@@ -28,30 +28,27 @@ set FWDIR=%~dp0..\
 rem Load environment variables from conf\spark-env.cmd, if it exists
 if exist "%FWDIR%conf\spark-env.cmd" call "%FWDIR%conf\spark-env.cmd"
 
-set CORE_DIR=%FWDIR%core
-set REPL_DIR=%FWDIR%repl
-set EXAMPLES_DIR=%FWDIR%examples
-set BAGEL_DIR=%FWDIR%bagel
-set MLLIB_DIR=%FWDIR%mllib
-set TOOLS_DIR=%FWDIR%tools
-set YARN_DIR=%FWDIR%yarn
-set STREAMING_DIR=%FWDIR%streaming
-set PYSPARK_DIR=%FWDIR%python
-
 rem Build up classpath
-set CLASSPATH=%SPARK_CLASSPATH%;%MESOS_CLASSPATH%;%FWDIR%conf;%CORE_DIR%\target\scala-%SCALA_VERSION%\classes
-set CLASSPATH=%CLASSPATH%;%CORE_DIR%\target\scala-%SCALA_VERSION%\test-classes;%CORE_DIR%\src\main\resources
-set CLASSPATH=%CLASSPATH%;%STREAMING_DIR%\target\scala-%SCALA_VERSION%\classes;%STREAMING_DIR%\target\scala-%SCALA_VERSION%\test-classes
-set CLASSPATH=%CLASSPATH%;%STREAMING_DIR%\lib\org\apache\kafka\kafka\0.7.2-spark\*
-set CLASSPATH=%CLASSPATH%;%REPL_DIR%\target\scala-%SCALA_VERSION%\classes;%EXAMPLES_DIR%\target\scala-%SCALA_VERSION%\classes
-set CLASSPATH=%CLASSPATH%;%FWDIR%lib_managed\jars\*
-set CLASSPATH=%CLASSPATH%;%FWDIR%lib_managed\bundles\*
-set CLASSPATH=%CLASSPATH%;%FWDIR%repl\lib\*
-set CLASSPATH=%CLASSPATH%;%FWDIR%python\lib\*
-set CLASSPATH=%CLASSPATH%;%BAGEL_DIR%\target\scala-%SCALA_VERSION%\classes
-set CLASSPATH=%CLASSPATH%;%MLLIB_DIR%\target\scala-%SCALA_VERSION%\classes
-set CLASSPATH=%CLASSPATH%;%TOOLS_DIR%\target\scala-%SCALA_VERSION%\classes
-set CLASSPATH=%CLASSPATH%;%YARN_DIR%\target\scala-%SCALA_VERSION%\classes
+set CLASSPATH=%SPARK_CLASSPATH%;%FWDIR%conf
+if exist "%FWDIR%RELEASE" (
+  for %%d in ("%FWDIR%jars\spark-assembly*.jar") do (
+    set ASSEMBLY_JAR=%%d
+  )
+) else (
+  for %%d in ("%FWDIR%assembly\target\scala-%SCALA_VERSION%\spark-assembly*hadoop*.jar") do (
+    set ASSEMBLY_JAR=%%d
+  )
+)
+set CLASSPATH=%CLASSPATH%;%ASSEMBLY_JAR%
+
+if "x%SPARK_TESTING%"=="x1" (
+  rem Add test clases to path
+  set CLASSPATH=%CLASSPATH%;%FWDIR%core\target\scala-%SCALA_VERSION%\test-classes
+  set CLASSPATH=%CLASSPATH%;%FWDIR%repl\target\scala-%SCALA_VERSION%\test-classes
+  set CLASSPATH=%CLASSPATH%;%FWDIR%mllib\target\scala-%SCALA_VERSION%\test-classes
+  set CLASSPATH=%CLASSPATH%;%FWDIR%bagel\target\scala-%SCALA_VERSION%\test-classes
+  set CLASSPATH=%CLASSPATH%;%FWDIR%streaming\target\scala-%SCALA_VERSION%\test-classes
+)
 
 rem Add hadoop conf dir - else FileSystem.*, etc fail
 rem Note, this assumes that there is either a HADOOP_CONF_DIR or YARN_CONF_DIR which hosts
@@ -64,9 +61,6 @@ if "x%YARN_CONF_DIR%"=="x" goto no_yarn_conf_dir
   set CLASSPATH=%CLASSPATH%;%YARN_CONF_DIR%
 :no_yarn_conf_dir
 
-rem Add Scala standard library
-set CLASSPATH=%CLASSPATH%;%SCALA_HOME%\lib\scala-library.jar;%SCALA_HOME%\lib\scala-compiler.jar;%SCALA_HOME%\lib\jline.jar
-
 rem A bit of a hack to allow calling this script within run2.cmd without seeing output
 if "%DONT_PRINT_CLASSPATH%"=="1" goto exit
 
diff --git a/core/src/main/resources/org/apache/spark/ui/static/webui.css b/core/src/main/resources/org/apache/spark/ui/static/webui.css
index a600c06c04..fe54c34ffb 100644
--- a/core/src/main/resources/org/apache/spark/ui/static/webui.css
+++ b/core/src/main/resources/org/apache/spark/ui/static/webui.css
@@ -1,3 +1,20 @@
+/*
+ * 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.
+ */
+
 .navbar {
   height: 50px;
   font-size: 15px;
diff --git a/core/src/main/scala/org/apache/spark/SparkContext.scala b/core/src/main/scala/org/apache/spark/SparkContext.scala
index faf0c2362a..f2641851cb 100644
--- a/core/src/main/scala/org/apache/spark/SparkContext.scala
+++ b/core/src/main/scala/org/apache/spark/SparkContext.scala
@@ -631,20 +631,26 @@ class SparkContext(
    * filesystems), or an HTTP, HTTPS or FTP URI.
    */
   def addJar(path: String) {
-    if (null == path) {
+    if (path == null) {
       logWarning("null specified as parameter to addJar",
         new SparkException("null specified as parameter to addJar"))
     } else {
-      val env = SparkEnv.get
-      val uri = new URI(path)
-      val key = uri.getScheme match {
-        case null | "file" =>
-          if (env.hadoop.isYarnMode()) {
-            logWarning("local jar specified as parameter to addJar under Yarn mode")
-            return
-          }
-          env.httpFileServer.addJar(new File(uri.getPath))
-        case _ => path
+      var key = ""
+      if (path.contains("\\")) {
+        // For local paths with backslashes on Windows, URI throws an exception
+        key = env.httpFileServer.addJar(new File(path))
+      } else {
+        val uri = new URI(path)
+        key = uri.getScheme match {
+          case null | "file" =>
+            if (env.hadoop.isYarnMode()) {
+              logWarning("local jar specified as parameter to addJar under Yarn mode")
+              return
+            }
+            env.httpFileServer.addJar(new File(uri.getPath))
+          case _ =>
+            path
+        }
       }
       addedJars(key) = System.currentTimeMillis
       logInfo("Added JAR " + path + " at " + key + " with timestamp " + addedJars(key))
diff --git a/core/src/main/scala/org/apache/spark/api/python/PythonWorkerFactory.scala b/core/src/main/scala/org/apache/spark/api/python/PythonWorkerFactory.scala
index 08e3f670f5..67d45723ba 100644
--- a/core/src/main/scala/org/apache/spark/api/python/PythonWorkerFactory.scala
+++ b/core/src/main/scala/org/apache/spark/api/python/PythonWorkerFactory.scala
@@ -17,8 +17,8 @@
 
 package org.apache.spark.api.python
 
-import java.io.{File, DataInputStream, IOException}
-import java.net.{Socket, SocketException, InetAddress}
+import java.io.{OutputStreamWriter, File, DataInputStream, IOException}
+import java.net.{ServerSocket, Socket, SocketException, InetAddress}
 
 import scala.collection.JavaConversions._
 
@@ -26,11 +26,30 @@ import org.apache.spark._
 
 private[spark] class PythonWorkerFactory(pythonExec: String, envVars: Map[String, String])
     extends Logging {
+
+  // Because forking processes from Java is expensive, we prefer to launch a single Python daemon
+  // (pyspark/daemon.py) and tell it to fork new workers for our tasks. This daemon currently
+  // only works on UNIX-based systems now because it uses signals for child management, so we can
+  // also fall back to launching workers (pyspark/worker.py) directly.
+  val useDaemon = !System.getProperty("os.name").startsWith("Windows")
+
   var daemon: Process = null
   val daemonHost = InetAddress.getByAddress(Array(127, 0, 0, 1))
   var daemonPort: Int = 0
 
   def create(): Socket = {
+    if (useDaemon) {
+      createThroughDaemon()
+    } else {
+      createSimpleWorker()
+    }
+  }
+
+  /**
+   * Connect to a worker launched through pyspark/daemon.py, which forks python processes itself
+   * to avoid the high cost of forking from Java. This currently only works on UNIX-based systems.
+   */
+  private def createThroughDaemon(): Socket = {
     synchronized {
       // Start the daemon if it hasn't been started
       startDaemon()
@@ -50,6 +69,78 @@ private[spark] class PythonWorkerFactory(pythonExec: String, envVars: Map[String
     }
   }
 
+  /**
+   * Launch a worker by executing worker.py directly and telling it to connect to us.
+   */
+  private def createSimpleWorker(): Socket = {
+    var serverSocket: ServerSocket = null
+    try {
+      serverSocket = new ServerSocket(0, 1, InetAddress.getByAddress(Array(127, 0, 0, 1)))
+
+      // Create and start the worker
+      val sparkHome = new ProcessBuilder().environment().get("SPARK_HOME")
+      val pb = new ProcessBuilder(Seq(pythonExec, sparkHome + "/python/pyspark/worker.py"))
+      val workerEnv = pb.environment()
+      workerEnv.putAll(envVars)
+      val pythonPath = sparkHome + "/python/" + File.pathSeparator + workerEnv.get("PYTHONPATH")
+      workerEnv.put("PYTHONPATH", pythonPath)
+      val worker = pb.start()
+
+      // Redirect the worker's stderr to ours
+      new Thread("stderr reader for " + pythonExec) {
+        setDaemon(true)
+        override def run() {
+          scala.util.control.Exception.ignoring(classOf[IOException]) {
+            // FIXME: We copy the stream on the level of bytes to avoid encoding problems.
+            val in = worker.getErrorStream
+            val buf = new Array[Byte](1024)
+            var len = in.read(buf)
+            while (len != -1) {
+              System.err.write(buf, 0, len)
+              len = in.read(buf)
+            }
+          }
+        }
+      }.start()
+
+      // Redirect worker's stdout to our stderr
+      new Thread("stdout reader for " + pythonExec) {
+        setDaemon(true)
+        override def run() {
+          scala.util.control.Exception.ignoring(classOf[IOException]) {
+            // FIXME: We copy the stream on the level of bytes to avoid encoding problems.
+            val in = worker.getInputStream
+            val buf = new Array[Byte](1024)
+            var len = in.read(buf)
+            while (len != -1) {
+              System.err.write(buf, 0, len)
+              len = in.read(buf)
+            }
+          }
+        }
+      }.start()
+
+      // Tell the worker our port
+      val out = new OutputStreamWriter(worker.getOutputStream)
+      out.write(serverSocket.getLocalPort + "\n")
+      out.flush()
+
+      // Wait for it to connect to our socket
+      serverSocket.setSoTimeout(10000)
+      try {
+        return serverSocket.accept()
+      } catch {
+        case e: Exception =>
+          throw new SparkException("Python worker did not connect back in time", e)
+      }
+    } finally {
+      if (serverSocket != null) {
+        serverSocket.close()
+      }
+    }
+    null
+  }
+
   def stop() {
     stopDaemon()
   }
@@ -73,12 +164,12 @@ private[spark] class PythonWorkerFactory(pythonExec: String, envVars: Map[String
 
         // Redirect the stderr to ours
         new Thread("stderr reader for " + pythonExec) {
+          setDaemon(true)
           override def run() {
             scala.util.control.Exception.ignoring(classOf[IOException]) {
-              // FIXME HACK: We copy the stream on the level of bytes to
-              // attempt to dodge encoding problems.
+              // FIXME: We copy the stream on the level of bytes to avoid encoding problems.
               val in = daemon.getErrorStream
-              var buf = new Array[Byte](1024)
+              val buf = new Array[Byte](1024)
               var len = in.read(buf)
               while (len != -1) {
                 System.err.write(buf, 0, len)
@@ -93,11 +184,11 @@ private[spark] class PythonWorkerFactory(pythonExec: String, envVars: Map[String
 
         // Redirect further stdout output to our stderr
         new Thread("stdout reader for " + pythonExec) {
+          setDaemon(true)
           override def run() {
             scala.util.control.Exception.ignoring(classOf[IOException]) {
-              // FIXME HACK: We copy the stream on the level of bytes to
-              // attempt to dodge encoding problems.
-              var buf = new Array[Byte](1024)
+              // FIXME: We copy the stream on the level of bytes to avoid encoding problems.
+              val buf = new Array[Byte](1024)
               var len = in.read(buf)
               while (len != -1) {
                 System.err.write(buf, 0, len)
diff --git a/core/src/main/scala/org/apache/spark/deploy/master/ApplicationSource.scala b/core/src/main/scala/org/apache/spark/deploy/master/ApplicationSource.scala
index 2d75ad5a2c..5a24042e14 100644
--- a/core/src/main/scala/org/apache/spark/deploy/master/ApplicationSource.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/master/ApplicationSource.scala
@@ -1,3 +1,20 @@
+/*
+ * 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.master
 
 import com.codahale.metrics.{Gauge, MetricRegistry}
diff --git a/core/src/main/scala/org/apache/spark/deploy/master/MasterSource.scala b/core/src/main/scala/org/apache/spark/deploy/master/MasterSource.scala
index 8dd0a42f71..23d1cb77da 100644
--- a/core/src/main/scala/org/apache/spark/deploy/master/MasterSource.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/master/MasterSource.scala
@@ -1,3 +1,20 @@
+/*
+ * 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.master
 
 import com.codahale.metrics.{Gauge, MetricRegistry}
diff --git a/core/src/main/scala/org/apache/spark/deploy/worker/WorkerSource.scala b/core/src/main/scala/org/apache/spark/deploy/worker/WorkerSource.scala
index 6427c0178f..df269fd047 100644
--- a/core/src/main/scala/org/apache/spark/deploy/worker/WorkerSource.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/worker/WorkerSource.scala
@@ -1,3 +1,20 @@
+/*
+ * 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.worker
 
 import com.codahale.metrics.{Gauge, MetricRegistry}
diff --git a/core/src/main/scala/org/apache/spark/executor/ExecutorSource.scala b/core/src/main/scala/org/apache/spark/executor/ExecutorSource.scala
index 17653cd560..bf8fb4fd21 100644
--- a/core/src/main/scala/org/apache/spark/executor/ExecutorSource.scala
+++ b/core/src/main/scala/org/apache/spark/executor/ExecutorSource.scala
@@ -1,3 +1,20 @@
+/*
+ * 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.executor
 
 import com.codahale.metrics.{Gauge, MetricRegistry}
diff --git a/core/src/main/scala/org/apache/spark/io/CompressionCodec.scala b/core/src/main/scala/org/apache/spark/io/CompressionCodec.scala
index 90a0420caf..570a979b56 100644
--- a/core/src/main/scala/org/apache/spark/io/CompressionCodec.scala
+++ b/core/src/main/scala/org/apache/spark/io/CompressionCodec.scala
@@ -39,17 +39,13 @@ trait CompressionCodec {
 private[spark] object CompressionCodec {
 
   def createCodec(): CompressionCodec = {
-    // Set the default codec to Snappy since the LZF implementation initializes a pretty large
-    // buffer for every stream, which results in a lot of memory overhead when the number of
-    // shuffle reduce buckets are large.
-    createCodec(classOf[SnappyCompressionCodec].getName)
+    createCodec(System.getProperty(
+      "spark.io.compression.codec", classOf[LZFCompressionCodec].getName))
   }
 
   def createCodec(codecName: String): CompressionCodec = {
-    Class.forName(
-      System.getProperty("spark.io.compression.codec", codecName),
-      true,
-      Thread.currentThread.getContextClassLoader).newInstance().asInstanceOf[CompressionCodec]
+    Class.forName(codecName, true, Thread.currentThread.getContextClassLoader)
+      .newInstance().asInstanceOf[CompressionCodec]
   }
 }
 
diff --git a/core/src/main/scala/org/apache/spark/package.scala b/core/src/main/scala/org/apache/spark/package.scala
index c0ec527339..f132e2b735 100644
--- a/core/src/main/scala/org/apache/spark/package.scala
+++ b/core/src/main/scala/org/apache/spark/package.scala
@@ -1,5 +1,3 @@
-import org.apache.spark.rdd.{SequenceFileRDDFunctions, DoubleRDDFunctions, PairRDDFunctions}
-
 /*
  * Licensed to the Apache Software Foundation (ASF) under one or more
  * contributor license agreements.  See the NOTICE file distributed with
@@ -30,6 +28,6 @@ import org.apache.spark.rdd.{SequenceFileRDDFunctions, DoubleRDDFunctions, PairR
  * type (e.g. RDD[(Int, Int)] through implicit conversions when you
  * `import org.apache.spark.SparkContext._`.
  */
-package object spark { 
+package object spark {
   // For package docs only
 }
diff --git a/core/src/main/scala/org/apache/spark/scheduler/DAGSchedulerSource.scala b/core/src/main/scala/org/apache/spark/scheduler/DAGSchedulerSource.scala
index ce0dc9093d..22e3723ac8 100644
--- a/core/src/main/scala/org/apache/spark/scheduler/DAGSchedulerSource.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/DAGSchedulerSource.scala
@@ -1,3 +1,20 @@
+/*
+ * 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.scheduler
 
 import com.codahale.metrics.{Gauge,MetricRegistry}
diff --git a/core/src/main/scala/org/apache/spark/storage/BlockManagerSource.scala b/core/src/main/scala/org/apache/spark/storage/BlockManagerSource.scala
index 24190cdd67..3d709cfde4 100644
--- a/core/src/main/scala/org/apache/spark/storage/BlockManagerSource.scala
+++ b/core/src/main/scala/org/apache/spark/storage/BlockManagerSource.scala
@@ -1,3 +1,20 @@
+/*
+ * 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.storage
 
 import com.codahale.metrics.{Gauge,MetricRegistry}
diff --git a/core/src/main/scala/org/apache/spark/ui/exec/ExecutorsUI.scala b/core/src/main/scala/org/apache/spark/ui/exec/ExecutorsUI.scala
index 6e56c22d04..d1868dcf78 100644
--- a/core/src/main/scala/org/apache/spark/ui/exec/ExecutorsUI.scala
+++ b/core/src/main/scala/org/apache/spark/ui/exec/ExecutorsUI.scala
@@ -1,3 +1,20 @@
+/*
+ * 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.ui.exec
 
 import javax.servlet.http.HttpServletRequest
diff --git a/core/src/main/scala/org/apache/spark/ui/jobs/JobProgressListener.scala b/core/src/main/scala/org/apache/spark/ui/jobs/JobProgressListener.scala
index 86e0af0399..e2bcd98545 100644
--- a/core/src/main/scala/org/apache/spark/ui/jobs/JobProgressListener.scala
+++ b/core/src/main/scala/org/apache/spark/ui/jobs/JobProgressListener.scala
@@ -1,3 +1,20 @@
+/*
+ * 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.ui.jobs
 
 import scala.Seq
diff --git a/core/src/main/scala/org/apache/spark/ui/jobs/PoolPage.scala b/core/src/main/scala/org/apache/spark/ui/jobs/PoolPage.scala
index ce92b6932b..89fffcb80d 100644
--- a/core/src/main/scala/org/apache/spark/ui/jobs/PoolPage.scala
+++ b/core/src/main/scala/org/apache/spark/ui/jobs/PoolPage.scala
@@ -1,3 +1,20 @@
+/*
+ * 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.ui.jobs
 
 import javax.servlet.http.HttpServletRequest
diff --git a/core/src/main/scala/org/apache/spark/ui/jobs/PoolTable.scala b/core/src/main/scala/org/apache/spark/ui/jobs/PoolTable.scala
index f31465e59d..5670c933bd 100644
--- a/core/src/main/scala/org/apache/spark/ui/jobs/PoolTable.scala
+++ b/core/src/main/scala/org/apache/spark/ui/jobs/PoolTable.scala
@@ -1,3 +1,20 @@
+/*
+ * 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.ui.jobs
 
 import scala.collection.mutable.HashMap
diff --git a/core/src/main/scala/org/apache/spark/ui/jobs/StageTable.scala b/core/src/main/scala/org/apache/spark/ui/jobs/StageTable.scala
index 71e58a977e..a8911e46ae 100644
--- a/core/src/main/scala/org/apache/spark/ui/jobs/StageTable.scala
+++ b/core/src/main/scala/org/apache/spark/ui/jobs/StageTable.scala
@@ -1,3 +1,20 @@
+/*
+ * 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.ui.jobs
 
 import java.util.Date
diff --git a/core/src/test/resources/test_metrics_config.properties b/core/src/test/resources/test_metrics_config.properties
index 056a158456..da2b29b9ce 100644
--- a/core/src/test/resources/test_metrics_config.properties
+++ b/core/src/test/resources/test_metrics_config.properties
@@ -1,3 +1,20 @@
+#
+# 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.
+#
+
 *.sink.console.period = 10
 *.sink.console.unit = seconds
 *.source.jvm.class = org.apache.spark.metrics.source.JvmSource
diff --git a/core/src/test/resources/test_metrics_system.properties b/core/src/test/resources/test_metrics_system.properties
index 6f5ecea93a..35d0bd3b8d 100644
--- a/core/src/test/resources/test_metrics_system.properties
+++ b/core/src/test/resources/test_metrics_system.properties
@@ -1,3 +1,20 @@
+#
+# 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.
+#
+
 *.sink.console.period = 10
 *.sink.console.unit = seconds
 test.sink.console.class = org.apache.spark.metrics.sink.ConsoleSink
diff --git a/core/src/test/scala/org/apache/spark/PartitionPruningRDDSuite.scala b/core/src/test/scala/org/apache/spark/PartitionPruningRDDSuite.scala
index 5a18dd13ff..21f16ef2c6 100644
--- a/core/src/test/scala/org/apache/spark/PartitionPruningRDDSuite.scala
+++ b/core/src/test/scala/org/apache/spark/PartitionPruningRDDSuite.scala
@@ -1,3 +1,20 @@
+/*
+ * 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
 
 import org.scalatest.FunSuite
diff --git a/core/src/test/scala/org/apache/spark/io/CompressionCodecSuite.scala b/core/src/test/scala/org/apache/spark/io/CompressionCodecSuite.scala
index fd6f69041a..ab81bfbe55 100644
--- a/core/src/test/scala/org/apache/spark/io/CompressionCodecSuite.scala
+++ b/core/src/test/scala/org/apache/spark/io/CompressionCodecSuite.scala
@@ -44,7 +44,7 @@ class CompressionCodecSuite extends FunSuite {
 
   test("default compression codec") {
     val codec = CompressionCodec.createCodec()
-    assert(codec.getClass === classOf[SnappyCompressionCodec])
+    assert(codec.getClass === classOf[LZFCompressionCodec])
     testCodec(codec)
   }
 
diff --git a/docs/bagel-programming-guide.md b/docs/bagel-programming-guide.md
index 583684913d..140190a38c 100644
--- a/docs/bagel-programming-guide.md
+++ b/docs/bagel-programming-guide.md
@@ -3,7 +3,7 @@ layout: global
 title: Bagel Programming Guide
 ---
 
-**Bagel** is a Spark implementation of Google's [Pregel](http://portal.acm.org/citation.cfm?id=1807184) graph processing framework. Bagel currently supports basic graph computation, combiners, and aggregators.
+Bagel is a Spark implementation of Google's [Pregel](http://portal.acm.org/citation.cfm?id=1807184) graph processing framework. Bagel currently supports basic graph computation, combiners, and aggregators.
 
 In the Pregel programming model, jobs run as a sequence of iterations called _supersteps_. In each superstep, each vertex in the graph runs a user-specified function that can update state associated with the vertex and send messages to other vertices for use in the *next* iteration.
 
diff --git a/docs/configuration.md b/docs/configuration.md
index 58e9434bdc..310e78a9eb 100644
--- a/docs/configuration.md
+++ b/docs/configuration.md
@@ -147,7 +147,7 @@ Apart from these, the following properties are also available, and may be useful
 </tr>
 <tr>
   <td>spark.io.compression.codec</td>
-  <td>org.apache.spark.io.<br />SnappyCompressionCodec</td>
+  <td>org.apache.spark.io.<br />LZFCompressionCodec</td>
   <td>
     The compression codec class to use for various compressions. By default, Spark provides two
     codecs: <code>org.apache.spark.io.LZFCompressionCodec</code> and <code>org.apache.spark.io.SnappyCompressionCodec</code>.
@@ -315,7 +315,7 @@ Apart from these, the following properties are also available, and may be useful
 # Environment Variables
 
 Certain Spark settings can also be configured through environment variables, which are read from the `conf/spark-env.sh`
-script in the directory where Spark is installed. These variables are meant to be for machine-specific settings, such
+script in the directory where Spark is installed (or `conf/spark-env.cmd` on Windows). These variables are meant to be for machine-specific settings, such
 as library search paths. While Java system properties can also be set here, for application settings, we recommend setting
 these properties within the application instead of in `spark-env.sh` so that different applications can use different
 settings.
@@ -325,6 +325,8 @@ Note that `conf/spark-env.sh` does not exist by default when Spark is installed.
 
 The following variables can be set in `spark-env.sh`:
 
+* `JAVA_HOME`, the location where Java is installed (if it's not on your default `PATH`)
+* `PYSPARK_PYTHON`, the Python binary to use for PySpark
 * `SPARK_LOCAL_IP`, to configure which IP address of the machine to bind to.
 * `SPARK_LIBRARY_PATH`, to add search directories for native libraries.
 * `SPARK_CLASSPATH`, to add elements to Spark's classpath that you want to be present for _all_ applications.
diff --git a/docs/css/bootstrap.min.css b/docs/css/bootstrap.min.css
index 3444ed79e2..ccb529eaba 100644
--- a/docs/css/bootstrap.min.css
+++ b/docs/css/bootstrap.min.css
@@ -6,4 +6,4 @@
  * http://www.apache.org/licenses/LICENSE-2.0
  *
  * Designed and built with all the love in the world @twitter by @mdo and @fat.
- */article,aside,details,figcaption,figure,footer,header,hgroup,nav,section{display:block}audio,canvas,video{display:inline-block;*display:inline;*zoom:1}audio:not([controls]){display:none}html{font-size:100%;-webkit-text-size-adjust:100%;-ms-text-size-adjust:100%}a:focus{outline:thin dotted #333;outline:5px auto -webkit-focus-ring-color;outline-offset:-2px}a:hover,a:active{outline:0}sub,sup{position:relative;font-size:75%;line-height:0;vertical-align:baseline}sup{top:-0.5em}sub{bottom:-0.25em}img{height:auto;max-width:100%;vertical-align:middle;border:0;-ms-interpolation-mode:bicubic}#map_canvas img{max-width:none}button,input,select,textarea{margin:0;font-size:100%;vertical-align:middle}button,input{*overflow:visible;line-height:normal}button::-moz-focus-inner,input::-moz-focus-inner{padding:0;border:0}button,input[type="button"],input[type="reset"],input[type="submit"]{cursor:pointer;-webkit-appearance:button}input[type="search"]{-webkit-box-sizing:content-box;-moz-box-sizing:content-box;box-sizing:content-box;-webkit-appearance:textfield}input[type="search"]::-webkit-search-decoration,input[type="search"]::-webkit-search-cancel-button{-webkit-appearance:none}textarea{overflow:auto;vertical-align:top}.clearfix{*zoom:1}.clearfix:before,.clearfix:after{display:table;line-height:0;content:""}.clearfix:after{clear:both}.hide-text{font:0/0 a;color:transparent;text-shadow:none;background-color:transparent;border:0}.input-block-level{display:block;width:100%;min-height:30px;-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box}body{margin:0;font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:14px;line-height:20px;color:#333;background-color:#fff}a{color:#08c;text-decoration:none}a:hover{color:#005580;text-decoration:underline}.img-rounded{-webkit-border-radius:6px;-moz-border-radius:6px;border-radius:6px}.img-polaroid{padding:4px;background-color:#fff;border:1px solid #ccc;border:1px solid rgba(0,0,0,0.2);-webkit-box-shadow:0 1px 3px rgba(0,0,0,0.1);-moz-box-shadow:0 1px 3px rgba(0,0,0,0.1);box-shadow:0 1px 3px rgba(0,0,0,0.1)}.img-circle{-webkit-border-radius:500px;-moz-border-radius:500px;border-radius:500px}.row{margin-left:-20px;*zoom:1}.row:before,.row:after{display:table;line-height:0;content:""}.row:after{clear:both}[class*="span"]{float:left;margin-left:20px}.container,.navbar-static-top .container,.navbar-fixed-top .container,.navbar-fixed-bottom 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diff --git a/docs/index.md b/docs/index.md
index 3cf9cc1c64..7d73929940 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -5,12 +5,14 @@ title: Spark Overview
 
 Apache Spark is a fast and general-purpose cluster computing system.
 It provides high-level APIs in [Scala](scala-programming-guide.html), [Java](java-programming-guide.html), and [Python](python-programming-guide.html) that make parallel jobs easy to write, and an optimized engine that supports general computation graphs.
-Spark can run on the Apache Mesos cluster manager, Hadoop YARN, Amazon EC2, or without an independent resource manager ("standalone mode").
+It also supports a rich set of higher-level tools including [Shark](http://shark.cs.berkeley.edu) (Hive on Spark), [MLlib](mllib-guide.html) for machine learning, [Bagel](bagel-programming-guide.html) for graph processing, and [Spark Streaming](streaming-programming-guide.html).
 
 # Downloading
 
 Get Spark by visiting the [downloads page](http://spark.incubator.apache.org/downloads.html) of the Apache Spark site. This documentation is for Spark version {{site.SPARK_VERSION}}.
 
+Spark runs on both Windows and UNIX-like systems (e.g. Linux, Mac OS). All you need to run it is to have `java` to installed on your system `PATH`, or the `JAVA_HOME` environment variable pointing to a Java installation.
+
 # Building
 
 Spark uses [Simple Build Tool](http://www.scala-sbt.org), which is bundled with it. To compile the code, go into the top-level Spark directory and run
@@ -35,6 +37,15 @@ or `local` to run locally with one thread, or `local[N]` to run locally with N t
 Finally, Spark can be used interactively through modified versions of the Scala shell (`./spark-shell`) or
 Python interpreter (`./pyspark`). These are a great way to learn Spark.
 
+# Running on a Cluster
+
+Spark supports several options for deployment:
+
+* [Amazon EC2](ec2-scripts.html): our scripts let you launch a cluster in about 5 minutes
+* [Standalone Deploy Mode](spark-standalone.html): simplest way to deploy Spark on a private cluster
+* [Apache Mesos](running-on-mesos.html)
+* [Hadoop YARN](running-on-yarn.html)
+
 # A Note About Hadoop Versions
 
 Spark uses the Hadoop-client library to talk to HDFS and other Hadoop-supported
@@ -50,6 +61,8 @@ In addition, if you wish to run Spark on [YARN](running-on-yarn.md), set
 
     SPARK_HADOOP_VERSION=2.0.5-alpha SPARK_YARN=true sbt/sbt assembly
 
+(Note that on Windows, you need to set the environment variables on separate lines, e.g., `set SPARK_HADOOP_VERSION=1.2.1`.)
+
 # Where to Go from Here
 
 **Programming guides:**
@@ -90,6 +103,7 @@ In addition, if you wish to run Spark on [YARN](running-on-yarn.md), set
 **External resources:**
 
 * [Spark Homepage](http://spark.incubator.apache.org)
+* [Shark](http://shark.cs.berkeley.edu): Apache Hive over Spark
 * [Mailing Lists](http://spark.incubator.apache.org/mailing-lists.html): ask questions about Spark here
 * [AMP Camps](http://ampcamp.berkeley.edu/): a series of training camps at UC Berkeley that featured talks and
   exercises about Spark, Shark, Mesos, and more. [Videos](http://ampcamp.berkeley.edu/agenda-2012),
diff --git a/docs/python-programming-guide.md b/docs/python-programming-guide.md
index 8a539fe774..8c33a953a4 100644
--- a/docs/python-programming-guide.md
+++ b/docs/python-programming-guide.md
@@ -4,7 +4,7 @@ title: Python Programming Guide
 ---
 
 
-The Spark Python API (PySpark) exposes most of the Spark features available in the Scala version to Python.
+The Spark Python API (PySpark) exposes the Spark programming model to Python.
 To learn the basics of Spark, we recommend reading through the
 [Scala programming guide](scala-programming-guide.html) first; it should be
 easy to follow even if you don't know Scala.
@@ -15,12 +15,8 @@ This guide will show how to use the Spark features described there in Python.
 
 There are a few key differences between the Python and Scala APIs:
 
-* Python is dynamically typed, so RDDs can hold objects of different types.
-* PySpark does not currently support the following Spark features:
-    - `lookup`
-    - `sort`
-    - `persist` at storage levels other than `MEMORY_ONLY`
-    - Execution on Windows -- this is slated for a future release
+* Python is dynamically typed, so RDDs can hold objects of multiple types.
+* PySpark does not yet support a few API calls, such as `lookup`, `sort`, and `persist` at custom storage levels. See the [API docs](api/pyspark/index.html) for details.
 
 In PySpark, RDDs support the same methods as their Scala counterparts but take Python functions and return Python collection types.
 Short functions can be passed to RDD methods using Python's [`lambda`](http://www.diveintopython.net/power_of_introspection/lambda_functions.html) syntax:
@@ -30,7 +26,7 @@ logData = sc.textFile(logFile).cache()
 errors = logData.filter(lambda line: "ERROR" in line)
 {% endhighlight %}
 
-You can also pass functions that are defined using the `def` keyword; this is useful for more complicated functions that cannot be expressed using `lambda`:
+You can also pass functions that are defined with the `def` keyword; this is useful for longer functions that can't be expressed using `lambda`:
 
 {% highlight python %}
 def is_error(line):
@@ -38,7 +34,7 @@ def is_error(line):
 errors = logData.filter(is_error)
 {% endhighlight %}
 
-Functions can access objects in enclosing scopes, although modifications to those objects within RDD methods will not be propagated to other tasks:
+Functions can access objects in enclosing scopes, although modifications to those objects within RDD methods will not be propagated back:
 
 {% highlight python %}
 error_keywords = ["Exception", "Error"]
@@ -51,17 +47,20 @@ PySpark will automatically ship these functions to workers, along with any objec
 Instances of classes will be serialized and shipped to workers by PySpark, but classes themselves cannot be automatically distributed to workers.
 The [Standalone Use](#standalone-use) section describes how to ship code dependencies to workers.
 
+In addition, PySpark fully supports interactive use---simply run `./pyspark` to launch an interactive shell.
+
 
 # Installing and Configuring PySpark
 
 PySpark requires Python 2.6 or higher.
-PySpark jobs are executed using a standard cPython interpreter in order to support Python modules that use C extensions.
+PySpark jobs are executed using a standard CPython interpreter in order to support Python modules that use C extensions.
 We have not tested PySpark with Python 3 or with alternative Python interpreters, such as [PyPy](http://pypy.org/) or [Jython](http://www.jython.org/).
-By default, PySpark's scripts will run programs using `python`; an alternate Python executable may be specified by setting the `PYSPARK_PYTHON` environment variable in `conf/spark-env.sh`.
+
+By default, PySpark requires `python` to be available on the system `PATH` and use it to run programs; an alternate Python executable may be specified by setting the `PYSPARK_PYTHON` environment variable in `conf/spark-env.sh` (or `.cmd` on Windows).
 
 All of PySpark's library dependencies, including [Py4J](http://py4j.sourceforge.net/), are bundled with PySpark and automatically imported.
 
-Standalone PySpark jobs should be run using the `pyspark` script, which automatically configures the Java and Python environment using the settings in `conf/spark-env.sh`.
+Standalone PySpark jobs should be run using the `pyspark` script, which automatically configures the Java and Python environment using the settings in `conf/spark-env.sh` or `.cmd`.
 The script automatically adds the `pyspark` package to the `PYTHONPATH`.
 
 
@@ -101,7 +100,7 @@ $ MASTER=local[4] ./pyspark
 ## IPython
 
 It is also possible to launch PySpark in [IPython](http://ipython.org), the enhanced Python interpreter.
-To do this, simply set the `IPYTHON` variable to `1` when running `pyspark`:
+To do this, set the `IPYTHON` variable to `1` when running `pyspark`:
 
 {% highlight bash %}
 $ IPYTHON=1 ./pyspark
@@ -132,15 +131,16 @@ sc = SparkContext("local", "Job Name", pyFiles=['MyFile.py', 'lib.zip', 'app.egg
 Files listed here will be added to the `PYTHONPATH` and shipped to remote worker machines.
 Code dependencies can be added to an existing SparkContext using its `addPyFile()` method.
 
+# API Docs
+
+[API documentation](api/pyspark/index.html) for PySpark is available as Epydoc.
+Many of the methods also contain [doctests](http://docs.python.org/2/library/doctest.html) that provide additional usage examples.
 
 # Where to Go from Here
 
-PySpark includes several sample programs in the [`python/examples` folder](https://github.com/apache/incubator-spark/tree/master/python/examples).
-You can run them by passing the files to the `pyspark` script; e.g.:
+PySpark also includes several sample programs in the [`python/examples` folder](https://github.com/apache/incubator-spark/tree/master/python/examples).
+You can run them by passing the files to `pyspark`; e.g.:
 
     ./pyspark python/examples/wordcount.py
 
 Each program prints usage help when run without arguments.
-
-We currently provide [API documentation](api/pyspark/index.html) for the Python API as Epydoc.
-Many of the RDD method descriptions contain [doctests](http://docs.python.org/2/library/doctest.html) that provide additional usage examples.
diff --git a/docs/spark-standalone.md b/docs/spark-standalone.md
index 9ab6ba0830..994a96f2c9 100644
--- a/docs/spark-standalone.md
+++ b/docs/spark-standalone.md
@@ -9,7 +9,7 @@ In addition to running on the Mesos or YARN cluster managers, Spark also provide
 
 You can start a standalone master server by executing:
 
-    ./spark-class spark.deploy.master.Master
+    ./spark-class org.apache.spark.deploy.master.Master
 
 Once started, the master will print out a `spark://HOST:PORT` URL for itself, which you can use to connect workers to it,
 or pass as the "master" argument to `SparkContext`. You can also find this URL on
@@ -17,7 +17,7 @@ the master's web UI, which is [http://localhost:8080](http://localhost:8080) by
 
 Similarly, you can start one or more workers and connect them to the master via:
 
-    ./spark-class spark.deploy.worker.Worker spark://IP:PORT
+    ./spark-class org.apache.spark.deploy.worker.Worker spark://IP:PORT
 
 Once you have started a worker, look at the master's web UI ([http://localhost:8080](http://localhost:8080) by default).
 You should see the new node listed there, along with its number of CPUs and memory (minus one gigabyte left for the OS).
diff --git a/examples/src/main/scala/org/apache/spark/examples/SparkPageRank.scala b/examples/src/main/scala/org/apache/spark/examples/SparkPageRank.scala
index 2721caf08b..a508c0df57 100644
--- a/examples/src/main/scala/org/apache/spark/examples/SparkPageRank.scala
+++ b/examples/src/main/scala/org/apache/spark/examples/SparkPageRank.scala
@@ -1,3 +1,20 @@
+/*
+ * 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.examples
 
 import org.apache.spark.SparkContext._
diff --git a/mllib/src/main/scala/org/apache/spark/mllib/classification/ClassificationModel.scala b/mllib/src/main/scala/org/apache/spark/mllib/classification/ClassificationModel.scala
index 60cb44ce89..391f5b9b7a 100644
--- a/mllib/src/main/scala/org/apache/spark/mllib/classification/ClassificationModel.scala
+++ b/mllib/src/main/scala/org/apache/spark/mllib/classification/ClassificationModel.scala
@@ -1,3 +1,20 @@
+/*
+ * 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.mllib.classification
 
 import org.apache.spark.rdd.RDD
diff --git a/mllib/src/main/scala/org/apache/spark/mllib/util/SVMDataGenerator.scala b/mllib/src/main/scala/org/apache/spark/mllib/util/SVMDataGenerator.scala
index 6e9f667635..07022093f3 100644
--- a/mllib/src/main/scala/org/apache/spark/mllib/util/SVMDataGenerator.scala
+++ b/mllib/src/main/scala/org/apache/spark/mllib/util/SVMDataGenerator.scala
@@ -1,3 +1,20 @@
+/*
+ * 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.mllib.util
 
 import scala.util.Random
diff --git a/pom.xml b/pom.xml
index 6a73e81da0..c561b099ab 100644
--- a/pom.xml
+++ b/pom.xml
@@ -18,6 +18,11 @@
 
 <project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
   <modelVersion>4.0.0</modelVersion>
+  <parent>
+    <groupId>org.apache</groupId>
+    <artifactId>apache</artifactId>
+    <version>11</version>
+  </parent>
   <groupId>org.apache.spark</groupId>
   <artifactId>spark-parent</artifactId>
   <version>0.8.0-SNAPSHOT</version>
diff --git a/project/SparkBuild.scala b/project/SparkBuild.scala
index b1b99b37c4..d038a4f479 100644
--- a/project/SparkBuild.scala
+++ b/project/SparkBuild.scala
@@ -103,6 +103,11 @@ object SparkBuild extends Build {
     //useGpg in Global := true,
 
     pomExtra := (
+      <parent>
+        <groupId>org.apache</groupId>
+        <artifactId>apache</artifactId>
+        <version>13</version>
+      </parent>
       <url>http://spark.incubator.apache.org/</url>
       <licenses>
         <license>
diff --git a/run.cmd b/pyspark.cmd
index c91764e617..7c26fbbac2 100644
--- a/run.cmd
+++ b/pyspark.cmd
@@ -17,4 +17,7 @@ rem See the License for the specific language governing permissions and
 rem limitations under the License.
 rem
 
-cmd /V /E /C %~dp0run2.cmd %*
+rem This is the entry point for running PySpark. To avoid polluting the
+rem environment, it just launches a new cmd to do the real work.
+
+cmd /V /E /C %~dp0pyspark2.cmd %*
diff --git a/pyspark2.cmd b/pyspark2.cmd
new file mode 100644
index 0000000000..f58e349643
--- /dev/null
+++ b/pyspark2.cmd
@@ -0,0 +1,55 @@
+@echo off
+
+rem
+rem Licensed to the Apache Software Foundation (ASF) under one or more
+rem contributor license agreements.  See the NOTICE file distributed with
+rem this work for additional information regarding copyright ownership.
+rem The ASF licenses this file to You under the Apache License, Version 2.0
+rem (the "License"); you may not use this file except in compliance with
+rem the License.  You may obtain a copy of the License at
+rem
+rem    http://www.apache.org/licenses/LICENSE-2.0
+rem
+rem Unless required by applicable law or agreed to in writing, software
+rem distributed under the License is distributed on an "AS IS" BASIS,
+rem WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+rem See the License for the specific language governing permissions and
+rem limitations under the License.
+rem
+
+set SCALA_VERSION=2.9.3
+
+rem Figure out where the Spark framework is installed
+set FWDIR=%~dp0
+
+rem Export this as SPARK_HOME
+set SPARK_HOME=%FWDIR%
+
+rem Test whether the user has built Spark
+if exist "%FWDIR%RELEASE" goto skip_build_test
+set FOUND_JAR=0
+for %%d in ("%FWDIR%assembly\target\scala-%SCALA_VERSION%\spark-assembly*hadoop*.jar") do (
+  set FOUND_JAR=1
+)
+if "%FOUND_JAR%"=="0" (
+  echo Failed to find Spark assembly JAR.
+  echo You need to build Spark with sbt\sbt assembly before running this program.
+  goto exit
+)
+:skip_build_test
+
+rem Load environment variables from conf\spark-env.cmd, if it exists
+if exist "%FWDIR%conf\spark-env.cmd" call "%FWDIR%conf\spark-env.cmd"
+
+rem Figure out which Python to use.
+if "x%PYSPARK_PYTHON%"=="x" set PYSPARK_PYTHON=python
+
+set PYTHONPATH=%FWDIR%python;%PYTHONPATH%
+
+set OLD_PYTHONSTARTUP=%PYTHONSTARTUP%
+set PYTHONSTARTUP=%FWDIR%python\pyspark\shell.py
+
+echo Running %PYSPARK_PYTHON% with PYTHONPATH=%PYTHONPATH%
+
+"%PYSPARK_PYTHON%" %*
+:exit
diff --git a/python/epydoc.conf b/python/epydoc.conf
index d5d5aa5454..1d0d002d36 100644
--- a/python/epydoc.conf
+++ b/python/epydoc.conf
@@ -34,3 +34,4 @@ private: no
 
 exclude: pyspark.cloudpickle pyspark.worker pyspark.join pyspark.serializers
          pyspark.java_gateway pyspark.examples pyspark.shell pyspark.test
+         pyspark.rddsampler pyspark.daemon
diff --git a/python/pyspark/__init__.py b/python/pyspark/__init__.py
index 3e8bca62f0..fd5972d381 100644
--- a/python/pyspark/__init__.py
+++ b/python/pyspark/__init__.py
@@ -1,5 +1,22 @@
+#
+# 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.
+#
+
 """
-PySpark is a Python API for Spark.
+PySpark is the Python API for Spark.
 
 Public classes:
 
diff --git a/python/pyspark/java_gateway.py b/python/pyspark/java_gateway.py
index 26fbe0f080..e615c1e9b6 100644
--- a/python/pyspark/java_gateway.py
+++ b/python/pyspark/java_gateway.py
@@ -18,6 +18,7 @@
 import os
 import sys
 import signal
+import platform
 from subprocess import Popen, PIPE
 from threading import Thread
 from py4j.java_gateway import java_import, JavaGateway, GatewayClient
@@ -29,12 +30,18 @@ SPARK_HOME = os.environ["SPARK_HOME"]
 def launch_gateway():
     # Launch the Py4j gateway using Spark's run command so that we pick up the
     # proper classpath and SPARK_MEM settings from spark-env.sh
-    command = [os.path.join(SPARK_HOME, "spark-class"), "py4j.GatewayServer",
+    on_windows = platform.system() == "Windows"
+    script = "spark-class.cmd" if on_windows else "spark-class"
+    command = [os.path.join(SPARK_HOME, script), "py4j.GatewayServer",
                "--die-on-broken-pipe", "0"]
-    # Don't send ctrl-c / SIGINT to the Java gateway:
-    def preexec_function():
-        signal.signal(signal.SIGINT, signal.SIG_IGN)
-    proc = Popen(command, stdout=PIPE, stdin=PIPE, preexec_fn=preexec_function)
+    if not on_windows:
+        # Don't send ctrl-c / SIGINT to the Java gateway:
+        def preexec_func():
+            signal.signal(signal.SIGINT, signal.SIG_IGN)
+        proc = Popen(command, stdout=PIPE, stdin=PIPE, preexec_fn=preexec_func)
+    else:
+        # preexec_fn not supported on Windows
+        proc = Popen(command, stdout=PIPE, stdin=PIPE)
     # Determine which ephemeral port the server started on:
     port = int(proc.stdout.readline())
     # Create a thread to echo output from the GatewayServer, which is required
diff --git a/python/pyspark/worker.py b/python/pyspark/worker.py
index 695f6dfb84..d63c2aaef7 100644
--- a/python/pyspark/worker.py
+++ b/python/pyspark/worker.py
@@ -21,6 +21,7 @@ Worker that receives input from Piped RDD.
 import os
 import sys
 import time
+import socket
 import traceback
 from base64 import standard_b64decode
 # CloudPickler needs to be imported so that depicklers are registered using the
@@ -94,7 +95,9 @@ def main(infile, outfile):
 
 
 if __name__ == '__main__':
-    # Redirect stdout to stderr so that users must return values from functions.
-    old_stdout = os.fdopen(os.dup(1), 'w')
-    os.dup2(2, 1)
-    main(sys.stdin, old_stdout)
+    # Read a local port to connect to from stdin
+    java_port = int(sys.stdin.readline())
+    sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
+    sock.connect(("127.0.0.1", java_port))
+    sock_file = sock.makefile("a+", 65536)
+    main(sock_file, sock_file)
diff --git a/repl/src/main/scala/org/apache/spark/repl/SparkHelper.scala b/repl/src/main/scala/org/apache/spark/repl/SparkHelper.scala
index d8fb7191b4..5340951d91 100644
--- a/repl/src/main/scala/org/apache/spark/repl/SparkHelper.scala
+++ b/repl/src/main/scala/org/apache/spark/repl/SparkHelper.scala
@@ -1,3 +1,20 @@
+/*
+ * 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 scala.tools.nsc
 
 object SparkHelper {
diff --git a/run-example.cmd b/run-example.cmd
new file mode 100644
index 0000000000..5b2d048d6e
--- /dev/null
+++ b/run-example.cmd
@@ -0,0 +1,23 @@
+@echo off
+
+rem
+rem Licensed to the Apache Software Foundation (ASF) under one or more
+rem contributor license agreements.  See the NOTICE file distributed with
+rem this work for additional information regarding copyright ownership.
+rem The ASF licenses this file to You under the Apache License, Version 2.0
+rem (the "License"); you may not use this file except in compliance with
+rem the License.  You may obtain a copy of the License at
+rem
+rem    http://www.apache.org/licenses/LICENSE-2.0
+rem
+rem Unless required by applicable law or agreed to in writing, software
+rem distributed under the License is distributed on an "AS IS" BASIS,
+rem WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+rem See the License for the specific language governing permissions and
+rem limitations under the License.
+rem
+
+rem This is the entry point for running a Spark example. To avoid polluting
+rem the environment, it just launches a new cmd to do the real work.
+
+cmd /V /E /C %~dp0run-example2.cmd %*
diff --git a/run-example2.cmd b/run-example2.cmd
new file mode 100644
index 0000000000..dbb371ecfc
--- /dev/null
+++ b/run-example2.cmd
@@ -0,0 +1,61 @@
+@echo off
+
+rem
+rem Licensed to the Apache Software Foundation (ASF) under one or more
+rem contributor license agreements.  See the NOTICE file distributed with
+rem this work for additional information regarding copyright ownership.
+rem The ASF licenses this file to You under the Apache License, Version 2.0
+rem (the "License"); you may not use this file except in compliance with
+rem the License.  You may obtain a copy of the License at
+rem
+rem    http://www.apache.org/licenses/LICENSE-2.0
+rem
+rem Unless required by applicable law or agreed to in writing, software
+rem distributed under the License is distributed on an "AS IS" BASIS,
+rem WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+rem See the License for the specific language governing permissions and
+rem limitations under the License.
+rem
+
+set SCALA_VERSION=2.9.3
+
+rem Figure out where the Spark framework is installed
+set FWDIR=%~dp0
+
+rem Export this as SPARK_HOME
+set SPARK_HOME=%FWDIR%
+
+rem Load environment variables from conf\spark-env.cmd, if it exists
+if exist "%FWDIR%conf\spark-env.cmd" call "%FWDIR%conf\spark-env.cmd"
+
+rem Test that an argument was given
+if not "x%1"=="x" goto arg_given
+  echo Usage: run-example ^<example-class^> [^<args^>]
+  goto exit
+:arg_given
+
+set EXAMPLES_DIR=%FWDIR%examples
+
+rem Figure out the JAR file that our examples were packaged into.
+set SPARK_EXAMPLES_JAR=
+for %%d in ("%EXAMPLES_DIR%\target\scala-%SCALA_VERSION%\spark-examples*assembly*.jar") do (
+  set SPARK_EXAMPLES_JAR=%%d
+)
+if "x%SPARK_EXAMPLES_JAR%"=="x" (
+  echo Failed to find Spark examples assembly JAR.
+  echo You need to build Spark with sbt\sbt assembly before running this program.
+  goto exit
+)
+
+rem Compute Spark classpath using external script
+set DONT_PRINT_CLASSPATH=1
+call "%FWDIR%bin\compute-classpath.cmd"
+set DONT_PRINT_CLASSPATH=0
+set CLASSPATH=%SPARK_EXAMPLES_JAR%;%CLASSPATH%
+
+rem Figure out where java is.
+set RUNNER=java
+if not "x%JAVA_HOME%"=="x" set RUNNER=%JAVA_HOME%\bin\java
+
+"%RUNNER%" -cp "%CLASSPATH%" %JAVA_OPTS% %*
+:exit
diff --git a/sbt/sbt.cmd b/sbt/sbt.cmd
index 56a16d77f2..681fe00f92 100644
--- a/sbt/sbt.cmd
+++ b/sbt/sbt.cmd
@@ -22,4 +22,4 @@ if not "%MESOS_HOME%x"=="x" set EXTRA_ARGS=-Djava.library.path=%MESOS_HOME%\lib\
 
 set SPARK_HOME=%~dp0..
 
-java -Xmx1200M -XX:MaxPermSize=200m %EXTRA_ARGS% -jar %SPARK_HOME%\sbt\sbt-launch-0.11.3-2.jar "%*"
+java -Xmx1200M -XX:MaxPermSize=200m -XX:ReservedCodeCacheSize=256m %EXTRA_ARGS% -jar %SPARK_HOME%\sbt\sbt-launch-0.11.3-2.jar "%*"
diff --git a/spark-class b/spark-class
index 71dfb9c4e6..037abda3b7 100755
--- a/spark-class
+++ b/spark-class
@@ -31,7 +31,7 @@ if [ -e $FWDIR/conf/spark-env.sh ] ; then
 fi
 
 if [ -z "$1" ]; then
-  echo "Usage: run <spark-class> [<args>]" >&2
+  echo "Usage: spark-class <class> [<args>]" >&2
   exit 1
 fi
 
diff --git a/spark-class.cmd b/spark-class.cmd
new file mode 100644
index 0000000000..19850db9e1
--- /dev/null
+++ b/spark-class.cmd
@@ -0,0 +1,23 @@
+@echo off
+
+rem
+rem Licensed to the Apache Software Foundation (ASF) under one or more
+rem contributor license agreements.  See the NOTICE file distributed with
+rem this work for additional information regarding copyright ownership.
+rem The ASF licenses this file to You under the Apache License, Version 2.0
+rem (the "License"); you may not use this file except in compliance with
+rem the License.  You may obtain a copy of the License at
+rem
+rem    http://www.apache.org/licenses/LICENSE-2.0
+rem
+rem Unless required by applicable law or agreed to in writing, software
+rem distributed under the License is distributed on an "AS IS" BASIS,
+rem WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+rem See the License for the specific language governing permissions and
+rem limitations under the License.
+rem
+
+rem This is the entry point for running a Spark class. To avoid polluting
+rem the environment, it just launches a new cmd to do the real work.
+
+cmd /V /E /C %~dp0spark-class2.cmd %*
diff --git a/run2.cmd b/spark-class2.cmd
index dc5e50931e..d4d853e8ad 100644
--- a/run2.cmd
+++ b/spark-class2.cmd
@@ -30,7 +30,7 @@ if exist "%FWDIR%conf\spark-env.cmd" call "%FWDIR%conf\spark-env.cmd"
 
 rem Test that an argument was given
 if not "x%1"=="x" goto arg_given
-  echo Usage: run ^<spark-class^> [^<args^>]
+  echo Usage: spark-class ^<class^> [^<args^>]
   goto exit
 :arg_given
 
@@ -44,12 +44,6 @@ rem Do not overwrite SPARK_JAVA_OPTS environment variable in this script
 if "%RUNNING_DAEMON%"=="0" set OUR_JAVA_OPTS=%SPARK_JAVA_OPTS%
 if "%RUNNING_DAEMON%"=="1" set OUR_JAVA_OPTS=%SPARK_DAEMON_JAVA_OPTS%
 
-rem Check that SCALA_HOME has been specified
-if not "x%SCALA_HOME%"=="x" goto scala_exists
-  echo SCALA_HOME is not set
-  goto exit
-:scala_exists
-
 rem Figure out how much memory to use per executor and set it as an environment
 rem variable so that our process sees it and can report it to Mesos
 if "x%SPARK_MEM%"=="x" set SPARK_MEM=512m
@@ -58,43 +52,27 @@ rem Set JAVA_OPTS to be able to load native libraries and to set heap size
 set JAVA_OPTS=%OUR_JAVA_OPTS% -Djava.library.path=%SPARK_LIBRARY_PATH% -Xms%SPARK_MEM% -Xmx%SPARK_MEM%
 rem Attention: when changing the way the JAVA_OPTS are assembled, the change must be reflected in ExecutorRunner.scala!
 
-set CORE_DIR=%FWDIR%core
-set EXAMPLES_DIR=%FWDIR%examples
-set REPL_DIR=%FWDIR%repl
+rem Test whether the user has built Spark
+if exist "%FWDIR%RELEASE" goto skip_build_test
+set FOUND_JAR=0
+for %%d in ("%FWDIR%assembly\target\scala-%SCALA_VERSION%\spark-assembly*hadoop*.jar") do (
+  set FOUND_JAR=1
+)
+if "%FOUND_JAR%"=="0" (
+  echo Failed to find Spark assembly JAR.
+  echo You need to build Spark with sbt\sbt assembly before running this program.
+  goto exit
+)
+:skip_build_test
 
 rem Compute classpath using external script
 set DONT_PRINT_CLASSPATH=1
 call "%FWDIR%bin\compute-classpath.cmd"
 set DONT_PRINT_CLASSPATH=0
 
-rem Figure out the JAR file that our examples were packaged into.
-rem First search in the build path from SBT:
-for %%d in ("examples/target/scala-%SCALA_VERSION%/spark-examples*.jar") do (
-  set SPARK_EXAMPLES_JAR=examples/target/scala-%SCALA_VERSION%/%%d
-)
-rem Then search in the build path from Maven:
-for %%d in ("examples/target/spark-examples*hadoop*.jar") do (
-  set SPARK_EXAMPLES_JAR=examples/target/%%d
-)
-
-rem Figure out whether to run our class with java or with the scala launcher.
-rem In most cases, we'd prefer to execute our process with java because scala
-rem creates a shell script as the parent of its Java process, which makes it
-rem hard to kill the child with stuff like Process.destroy(). However, for
-rem the Spark shell, the wrapper is necessary to properly reset the terminal
-rem when we exit, so we allow it to set a variable to launch with scala.
-if "%SPARK_LAUNCH_WITH_SCALA%" NEQ 1 goto java_runner
-  set RUNNER=%SCALA_HOME%\bin\scala
-  # Java options will be passed to scala as JAVA_OPTS
-  set EXTRA_ARGS=
-  goto run_spark
-:java_runner
-  set CLASSPATH=%CLASSPATH%;%SCALA_HOME%\lib\scala-library.jar;%SCALA_HOME%\lib\scala-compiler.jar;%SCALA_HOME%\lib\jline.jar
-  set RUNNER=java
-  if not "x%JAVA_HOME%"=="x" set RUNNER=%JAVA_HOME%\bin\java
-  rem The JVM doesn't read JAVA_OPTS by default so we need to pass it in
-  set EXTRA_ARGS=%JAVA_OPTS%
-:run_spark
+rem Figure out where java is.
+set RUNNER=java
+if not "x%JAVA_HOME%"=="x" set RUNNER=%JAVA_HOME%\bin\java
 
-"%RUNNER%" -cp "%CLASSPATH%" %EXTRA_ARGS% %*
+"%RUNNER%" -cp "%CLASSPATH%" %JAVA_OPTS% %*
 :exit
diff --git a/spark-shell.cmd b/spark-shell.cmd
index b9b4d4bfb2..3e52bf835e 100644
--- a/spark-shell.cmd
+++ b/spark-shell.cmd
@@ -18,5 +18,5 @@ rem limitations under the License.
 rem
 
 set FWDIR=%~dp0
-set SPARK_LAUNCH_WITH_SCALA=1
-cmd /V /E /C %FWDIR%run2.cmd org.apache.spark.repl.Main %*
+
+cmd /V /E /C %FWDIR%spark-class2.cmd org.apache.spark.repl.Main %*
diff --git a/yarn/pom.xml b/yarn/pom.xml
index fcacdac9eb..654b5bcd2d 100644
--- a/yarn/pom.xml
+++ b/yarn/pom.xml
@@ -1,5 +1,6 @@
 <?xml version="1.0" encoding="UTF-8"?>
-<!-- ~ Licensed to the Apache Software Foundation (ASF) under one or more
+<!--
+  ~ 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
@@ -14,7 +15,6 @@
   ~ See the License for the specific language governing permissions and
   ~ limitations under the License.
   -->
-
 <project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
   <modelVersion>4.0.0</modelVersion>
   <parent>