spark-instrumented-optimizer/python/pyspark/java_gateway.py
Andrew Or f4f46dec5a [Minor] Remove unused val in Master
Author: Andrew Or <andrewor14@gmail.com>

Closes #1365 from andrewor14/master-fs and squashes the following commits:

497f100 [Andrew Or] Sneak in a space and hope no one will notice
05ba6da [Andrew Or] Remove unused val
2014-07-11 00:21:16 -07:00

93 lines
3.9 KiB
Python

#
# 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.
#
import os
import sys
import signal
import shlex
import platform
from subprocess import Popen, PIPE
from threading import Thread
from py4j.java_gateway import java_import, JavaGateway, GatewayClient
def launch_gateway():
SPARK_HOME = os.environ["SPARK_HOME"]
gateway_port = -1
if "PYSPARK_GATEWAY_PORT" in os.environ:
gateway_port = int(os.environ["PYSPARK_GATEWAY_PORT"])
else:
# 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"
script = "./bin/spark-submit.cmd" if on_windows else "./bin/spark-submit"
submit_args = os.environ.get("PYSPARK_SUBMIT_ARGS")
submit_args = submit_args if submit_args is not None else ""
submit_args = shlex.split(submit_args)
command = [os.path.join(SPARK_HOME, script), "pyspark-shell"] + submit_args
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)
try:
# Determine which ephemeral port the server started on:
gateway_port = proc.stdout.readline()
gateway_port = int(gateway_port)
except ValueError:
(stdout, _) = proc.communicate()
exit_code = proc.poll()
error_msg = "Launching GatewayServer failed"
error_msg += " with exit code %d! " % exit_code if exit_code else "! "
error_msg += "(Warning: unexpected output detected.)\n\n"
error_msg += gateway_port + stdout
raise Exception(error_msg)
# Create a thread to echo output from the GatewayServer, which is required
# for Java log output to show up:
class EchoOutputThread(Thread):
def __init__(self, stream):
Thread.__init__(self)
self.daemon = True
self.stream = stream
def run(self):
while True:
line = self.stream.readline()
sys.stderr.write(line)
EchoOutputThread(proc.stdout).start()
# Connect to the gateway
gateway = JavaGateway(GatewayClient(port=gateway_port), auto_convert=False)
# Import the classes used by PySpark
java_import(gateway.jvm, "org.apache.spark.SparkConf")
java_import(gateway.jvm, "org.apache.spark.api.java.*")
java_import(gateway.jvm, "org.apache.spark.api.python.*")
java_import(gateway.jvm, "org.apache.spark.mllib.api.python.*")
java_import(gateway.jvm, "org.apache.spark.sql.SQLContext")
java_import(gateway.jvm, "org.apache.spark.sql.hive.HiveContext")
java_import(gateway.jvm, "org.apache.spark.sql.hive.LocalHiveContext")
java_import(gateway.jvm, "org.apache.spark.sql.hive.TestHiveContext")
java_import(gateway.jvm, "scala.Tuple2")
return gateway