Github user mateiz commented on a diff in the pull request:
https://github.com/apache/spark/pull/664#discussion_r12341753
--- Diff: core/src/main/scala/org/apache/spark/deploy/PythonRunner.scala ---
@@ -0,0 +1,84 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.deploy
+
+import java.io.{IOException, File, InputStream, OutputStream}
+
+import scala.collection.mutable.ArrayBuffer
+import scala.collection.JavaConversions._
+
+import org.apache.spark.SparkContext
+import org.apache.spark.api.python.PythonUtils
+
+/**
+ * A main class used by spark-submit to launch Python applications. It
executes python as a
+ * subprocess and then has it connect back to the JVM to access system
properties, etc.
+ */
+object PythonRunner {
+ def main(args: Array[String]) {
+ val primaryResource = args(0)
+ val pyFiles = args(1)
+ val otherArgs = args.slice(2, args.length)
+
+ val pythonExec = sys.env.get("PYSPARK_PYTHON").getOrElse("python") //
TODO: get this from conf
+
+ // Launch a Py4J gateway server for the process to connect to; this
will let it see our
+ // Java system properties and such
+ val gatewayServer = new py4j.GatewayServer(null, 0)
+ gatewayServer.start()
+
+ // Build up a PYTHONPATH that includes the Spark assembly JAR (where
this class is), the
+ // python directories in SPARK_HOME (if set), and any files in the
pyFiles argument
+ val pathElements = new ArrayBuffer[String]
+ pathElements ++= pyFiles.split(",")
+ pathElements += PythonUtils.sparkPythonPath
+ pathElements += sys.env.getOrElse("PYTHONPATH", "")
+ val pythonPath = PythonUtils.mergePythonPaths(pathElements: _*)
+
+ // Launch Python process
+ val builder = new ProcessBuilder(Seq(pythonExec, "-u",
primaryResource) ++ otherArgs)
+ val env = builder.environment()
+ env.put("PYTHONPATH", pythonPath)
+ env.put("PYSPARK_GATEWAY_PORT", "" + gatewayServer.getListeningPort)
+ builder.redirectErrorStream(true) // Ugly but needed for stdout and
stderr to synchronize
+ val process = builder.start()
+
+ new RedirectThread(process.getInputStream, System.out, "redirect
output").start()
+
+ System.exit(process.waitFor())
+ }
+
+ /**
+ * A utility class to redirect the child process's stdout or stderr
+ */
+ class RedirectThread(in: InputStream, out: OutputStream, name: String)
extends Thread(name) {
+ 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 buf = new Array[Byte](1024)
--- End diff --
That might be good but I'm not sure that it flushes after each write, which
we need for letting the user see this output fast
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