diff --git a/bin/pyspark b/bin/pyspark
index cad982bc33477..f5558853e8a4e 100755
--- a/bin/pyspark
+++ b/bin/pyspark
@@ -46,6 +46,7 @@ export PYSPARK_PYTHON
# Add the PySpark classes to the Python path:
export PYTHONPATH=$SPARK_HOME/python/:$PYTHONPATH
+export PYTHONPATH=$SPARK_HOME/python/lib/py4j-0.8.1-src.zip:$PYTHONPATH
# Load the PySpark shell.py script when ./pyspark is used interactively:
export OLD_PYTHONSTARTUP=$PYTHONSTARTUP
diff --git a/bin/pyspark2.cmd b/bin/pyspark2.cmd
index 95791095ec932..d7cfd5eec501c 100644
--- a/bin/pyspark2.cmd
+++ b/bin/pyspark2.cmd
@@ -45,6 +45,7 @@ rem Figure out which Python to use.
if "x%PYSPARK_PYTHON%"=="x" set PYSPARK_PYTHON=python
set PYTHONPATH=%FWDIR%python;%PYTHONPATH%
+set PYTHONPATH=%FWDIR%python\lib\py4j-0.8.1-src.zip;%PYTHONPATH%
set OLD_PYTHONSTARTUP=%PYTHONSTARTUP%
set PYTHONSTARTUP=%FWDIR%python\pyspark\shell.py
diff --git a/core/pom.xml b/core/pom.xml
index 7a73659e6f7ed..a32aee9c3d764 100644
--- a/core/pom.xml
+++ b/core/pom.xml
@@ -294,6 +294,48 @@
+
+
+ org.codehaus.mojo
+ exec-maven-plugin
+ 1.2.1
+
+
+ generate-resources
+
+ exec
+
+
+
+
+ unzip
+ ../python
+
+ -o
+ lib/py4j*.zip
+ -d
+ build
+
+
+
+
+
+
+ src/main/resources
+
+
+ ../python
+
+ pyspark/*.py
+
+
+
+ ../python/build
+
+ py4j/*.py
+
+
+
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 a5f0f3d5e7eae..02799ce0091b0 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
@@ -78,12 +78,9 @@ private[spark] class PythonWorkerFactory(pythonExec: String, envVars: Map[String
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 pb = new ProcessBuilder(Seq(pythonExec, "-m", "pyspark.worker"))
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
@@ -154,12 +151,9 @@ private[spark] class PythonWorkerFactory(pythonExec: String, envVars: Map[String
try {
// Create and start the daemon
- val sparkHome = new ProcessBuilder().environment().get("SPARK_HOME")
- val pb = new ProcessBuilder(Seq(pythonExec, sparkHome + "/python/pyspark/daemon.py"))
+ val pb = new ProcessBuilder(Seq(pythonExec, "-m", "pyspark.daemon"))
val workerEnv = pb.environment()
workerEnv.putAll(envVars)
- val pythonPath = sparkHome + "/python/" + File.pathSeparator + workerEnv.get("PYTHONPATH")
- workerEnv.put("PYTHONPATH", pythonPath)
daemon = pb.start()
// Redirect the stderr to ours
diff --git a/docs/python-programming-guide.md b/docs/python-programming-guide.md
index 98233bf556b79..98c456228af9f 100644
--- a/docs/python-programming-guide.md
+++ b/docs/python-programming-guide.md
@@ -63,6 +63,9 @@ All of PySpark's library dependencies, including [Py4J](http://py4j.sourceforge.
Standalone PySpark applications should be run using the `bin/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 `bin/pyspark` package to the `PYTHONPATH`.
+# Running PySpark on YARN
+
+To run PySpark against a YARN cluster, simply set the MASTER environment variable to "yarn-client".
# Interactive Use
diff --git a/python/.gitignore b/python/.gitignore
index 5c56e638f923a..80b361ffbd51c 100644
--- a/python/.gitignore
+++ b/python/.gitignore
@@ -1,2 +1,5 @@
*.pyc
docs/
+pyspark.egg-info
+build/
+dist/
diff --git a/python/lib/PY4J_VERSION.txt b/python/lib/PY4J_VERSION.txt
deleted file mode 100644
index 04a0cd52a8d9c..0000000000000
--- a/python/lib/PY4J_VERSION.txt
+++ /dev/null
@@ -1 +0,0 @@
-b7924aabe9c5e63f0a4d8bbd17019534c7ec014e
diff --git a/python/pyspark/__init__.py b/python/pyspark/__init__.py
index 73fe7378ffa63..07df8697bd1a8 100644
--- a/python/pyspark/__init__.py
+++ b/python/pyspark/__init__.py
@@ -49,13 +49,6 @@
Main entry point for accessing data stored in Apache Hive..
"""
-
-
-import sys
-import os
-sys.path.insert(0, os.path.join(os.environ["SPARK_HOME"], "python/lib/py4j-0.8.1-src.zip"))
-
-
from pyspark.conf import SparkConf
from pyspark.context import SparkContext
from pyspark.sql import SQLContext
diff --git a/python/pyspark/java_gateway.py b/python/pyspark/java_gateway.py
index 6bb6c877c942d..032d960e40998 100644
--- a/python/pyspark/java_gateway.py
+++ b/python/pyspark/java_gateway.py
@@ -24,10 +24,11 @@
from py4j.java_gateway import java_import, JavaGateway, GatewayClient
-SPARK_HOME = os.environ["SPARK_HOME"]
+def launch_gateway():
+ SPARK_HOME = os.environ["SPARK_HOME"]
+ set_env_vars_for_yarn()
-def launch_gateway():
# Launch the Py4j gateway using Spark's run command so that we pick up the
# proper classpath and settings from spark-env.sh
on_windows = platform.system() == "Windows"
@@ -70,3 +71,27 @@ def run(self):
java_import(gateway.jvm, "org.apache.spark.sql.hive.TestHiveContext")
java_import(gateway.jvm, "scala.Tuple2")
return gateway
+
+def set_env_vars_for_yarn():
+ # Add the spark jar, which includes the pyspark files, to the python path
+ env_map = parse_env(os.environ.get("SPARK_YARN_USER_ENV", ""))
+ if "PYTHONPATH" in env_map:
+ env_map["PYTHONPATH"] += ":spark.jar"
+ else:
+ env_map["PYTHONPATH"] = "spark.jar"
+
+ os.environ["SPARK_YARN_USER_ENV"] = ",".join(k + '=' + v for (k, v) in env_map.items())
+
+def parse_env(env_str):
+ # Turns a comma-separated of env settings into a dict that maps env vars to
+ # their values.
+ env = {}
+ for var_str in env_str.split(","):
+ parts = var_str.split("=")
+ if len(parts) == 2:
+ env[parts[0]] = parts[1]
+ elif len(var_str) > 0:
+ print "Invalid entry in SPARK_YARN_USER_ENV: " + var_str
+ sys.exit(1)
+
+ return env
diff --git a/python/pyspark/tests.py b/python/pyspark/tests.py
index 527104587fd31..8cf9d9cf1bd66 100644
--- a/python/pyspark/tests.py
+++ b/python/pyspark/tests.py
@@ -30,10 +30,12 @@
from pyspark.context import SparkContext
from pyspark.files import SparkFiles
-from pyspark.java_gateway import SPARK_HOME
from pyspark.serializers import read_int
+SPARK_HOME = os.environ["SPARK_HOME"]
+
+
class PySparkTestCase(unittest.TestCase):
def setUp(self):
diff --git a/sbin/spark-config.sh b/sbin/spark-config.sh
index cd2c7b7b0d496..147b506dd5ca3 100755
--- a/sbin/spark-config.sh
+++ b/sbin/spark-config.sh
@@ -34,3 +34,6 @@ this="$config_bin/$script"
export SPARK_PREFIX=`dirname "$this"`/..
export SPARK_HOME=${SPARK_PREFIX}
export SPARK_CONF_DIR="$SPARK_HOME/conf"
+# Add the PySpark classes to the PYTHONPATH:
+export PYTHONPATH=$SPARK_HOME/python:$PYTHONPATH
+export PYTHONPATH=$SPARK_HOME/python/lib/py4j-0.8.1-src.zip:$PYTHONPATH