add zip pyspark archives in build or sparksubmit

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

@@ -39,7 +39,7 @@ import org.apache.ivy.plugins.resolver.{ChainResolver, IBiblioResolver}
 
 import org.apache.spark.SPARK_VERSION
 import org.apache.spark.deploy.rest._
-import org.apache.spark.util.{ChildFirstURLClassLoader, MutableURLClassLoader, Utils}
+import org.apache.spark.util.{Utils, ChildFirstURLClassLoader, MutableURLClassLoader}
 
 /**
  * Whether to submit, kill, or request the status of an application.
@@ -328,12 +328,40 @@ object SparkSubmit {
       }
     }
 
-    // In yarn mode for a python app, if PYSPARK_ARCHIVES_PATH is in the user environment
-    // add pyspark archives to files that can be distributed with the job
-    if (args.isPython && clusterManager == YARN){
-      sys.env.get("PYSPARK_ARCHIVES_PATH").map { archives =>
-        args.files = mergeFileLists(args.files, Utils.resolveURIs(archives))
+    // In yarn mode for a python app, add pyspark archives to files
+    // that can be distributed with the job
+    if (args.isPython && clusterManager == YARN) {
+      var pyArchives: String = null
+      if (sys.env.contains("PYSPARK_ARCHIVES_PATH")) {
+        pyArchives = sys.env.get("PYSPARK_ARCHIVES_PATH").get
+      } else {
+        if (!sys.env.contains("SPARK_HOME")) {
+          printErrorAndExit("SPARK_HOME does not exist for python application in yarn mode.")
+        }
+        val pythonPath = new ArrayBuffer[String]
+        for (sparkHome <- sys.env.get("SPARK_HOME")) {
+          val pyLibPath = Seq(sparkHome, "python", "lib").mkString(File.separator)
+          val pyArchivesFile = new File(pyLibPath, "pyspark.zip")
+          if (!pyArchivesFile.exists()) {
+            val pySrc = new File(Seq(sparkHome, "python", "pyspark").mkString(File.separator))
+            Utils.zipRecursive(pySrc, pyArchivesFile)
+          }
+          pythonPath += pyArchivesFile.getAbsolutePath
+          pythonPath += Seq(pyLibPath, "py4j-0.8.2.1-src.zip").mkString(File.separator)
+        }
+        pyArchives = pythonPath.mkString(",")
       }
+
+      pyArchives = pyArchives.split(",").map( localPath=> {
+        val localURI = Utils.resolveURI(localPath)
+        if (localURI.getScheme != "local") {
+          args.files = mergeFileLists(args.files, localURI.toString)
+          (new Path(localPath)).getName
+        } else {
+          localURI.getPath.toString
+        }
+      }).mkString(File.pathSeparator)
+      sysProps("spark.submit.pyArchives") = pyArchives
     }
 
     // If we're running a R app, set the main class to our specific R runner

core/src/main/scala/org/apache/spark/util/Utils.scala

@@ -18,6 +18,7 @@
 package org.apache.spark.util
 
 import java.io._
+import java.util.zip._
 import java.lang.management.ManagementFactory
 import java.net._
 import java.nio.ByteBuffer
@@ -1000,6 +1001,40 @@ private[spark] object Utils extends Logging {
     !fileInCanonicalDir.getCanonicalFile().equals(fileInCanonicalDir.getAbsoluteFile())
   }
 
+  /**
+    * recursively add files to the zip file
+    */
+  def addFilesToZip(parent: String, source: File, output: ZipOutputStream): Unit = {
+    if (source.isDirectory()) {
+      output.putNextEntry(new ZipEntry(parent + source.getName()))
+      for (file <- source.listFiles()) {
+        addFilesToZip(parent + source.getName + File.separator, file, output)
+      }
+    } else {
+      val in = new FileInputStream(source)
+      output.putNextEntry(new ZipEntry(parent + source.getName()))
+      val buf = new Array[Byte](8192)
+      var n = 0
+      while (n != -1) {
+        n = in.read(buf)
+        if (n != -1) {
+          output.write(buf, 0, n)
+        }
+      }
+      in.close()
+    }
+  }
+
+  /**
+   * zip source file to dest ZipFile
+   */
+  def zipRecursive(source: File, destZipFile: File) = {
+    val destOutput = new ZipOutputStream(new FileOutputStream(destZipFile))
+    addFilesToZip("", source, destOutput)
+    destOutput.flush()
+    destOutput.close()
+  }
+
   /**
    * Determines if a directory contains any files newer than cutoff seconds.
    *

project/SparkBuild.scala

@@ -361,12 +361,20 @@ object PySparkAssembly {
     // to be included in the assembly. We can't just add "python/" to the assembly's resource dir
     // list since that will copy unneeded / unwanted files.
     resourceGenerators in Compile <+= resourceManaged in Compile map { outDir: File =>
+      val src = new File(BuildCommons.sparkHome, "python/pyspark")
+
+      val zipFile = new File(BuildCommons.sparkHome , "python/lib/pyspark.zip")
+      IO.delete(zipFile)
+      def entries(f: File):List[File] =
+        f :: (if (f.isDirectory) IO.listFiles(f).toList.flatMap(entries(_)) else Nil)
+      IO.zip(entries(src).map(
+        d => (d, d.getAbsolutePath.substring(src.getParent.length +1))),
+        zipFile)
+
       val dst = new File(outDir, "pyspark")
       if (!dst.isDirectory()) {
         require(dst.mkdirs())
       }
-
-      val src = new File(BuildCommons.sparkHome, "python/pyspark")
       copy(src, dst)
     }
   )

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

@@ -326,14 +326,12 @@ private[spark] class Client(
     distCacheMgr.setDistFilesEnv(env)
     distCacheMgr.setDistArchivesEnv(env)
 
-    // If PYSPARK_ARCHIVES_PATH is in the user environment, set PYTHONPATH to be passed
+    // if spark.submit.pyArchives is in sparkConf, set PYTHONPATH to be passed
     // on to the ApplicationMaster and the executors.
-    sys.env.get("PYSPARK_ARCHIVES_PATH").map { archives =>
-      // archives will be distributed to each machine's working directory, so strip the
-      // path prefix
-      val pythonPath = archives.split(",").map(p => (new Path(p)).getName).mkString(":")
-      env("PYTHONPATH") = pythonPath
-      sparkConf.setExecutorEnv("PYTHONPATH", pythonPath)
+    if (sparkConf.contains("spark.submit.pyArchives")) {
+      val archives = sparkConf.get("spark.submit.pyArchives")
+      env("PYTHONPATH") = archives
+      sparkConf.setExecutorEnv("PYTHONPATH", archives)
     }
 
     // Pick up any environment variables for the AM provided through spark.yarn.appMasterEnv.*