spark-instrumented-optimizer/python/pyspark/java_gateway.py
Reynold Xin 119f45d61d [SPARK-5097][SQL] DataFrame
This pull request redesigns the existing Spark SQL dsl, which already provides data frame like functionalities.

TODOs:
With the exception of Python support, other tasks can be done in separate, follow-up PRs.
- [ ] Audit of the API
- [ ] Documentation
- [ ] More test cases to cover the new API
- [x] Python support
- [ ] Type alias SchemaRDD

Author: Reynold Xin <rxin@databricks.com>
Author: Davies Liu <davies@databricks.com>

Closes #4173 from rxin/df1 and squashes the following commits:

0a1a73b [Reynold Xin] Merge branch 'df1' of github.com:rxin/spark into df1
23b4427 [Reynold Xin] Mima.
828f70d [Reynold Xin] Merge pull request #7 from davies/df
257b9e6 [Davies Liu] add repartition
6bf2b73 [Davies Liu] fix collect with UDT and tests
e971078 [Reynold Xin] Missing quotes.
b9306b4 [Reynold Xin] Remove removeColumn/updateColumn for now.
a728bf2 [Reynold Xin] Example rename.
e8aa3d3 [Reynold Xin] groupby -> groupBy.
9662c9e [Davies Liu] improve DataFrame Python API
4ae51ea [Davies Liu] python API for dataframe
1e5e454 [Reynold Xin] Fixed a bug with symbol conversion.
2ca74db [Reynold Xin] Couple minor fixes.
ea98ea1 [Reynold Xin] Documentation & literal expressions.
2b22684 [Reynold Xin] Got rid of IntelliJ problems.
02bbfbc [Reynold Xin] Tightening imports.
ffbce66 [Reynold Xin] Fixed compilation error.
59b6d8b [Reynold Xin] Style violation.
b85edfb [Reynold Xin] ALS.
8c37f0a [Reynold Xin] Made MLlib and examples compile
6d53134 [Reynold Xin] Hive module.
d35efd5 [Reynold Xin] Fixed compilation error.
ce4a5d2 [Reynold Xin] Fixed test cases in SQL except ParquetIOSuite.
66d5ef1 [Reynold Xin] SQLContext minor patch.
c9bcdc0 [Reynold Xin] Checkpoint: SQL module compiles!
2015-01-27 16:08:24 -08:00

120 lines
5.5 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 atexit
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)] + submit_args + ["pyspark-shell"]
if not on_windows:
# Don't send ctrl-c / SIGINT to the Java gateway:
def preexec_func():
signal.signal(signal.SIGINT, signal.SIG_IGN)
env = dict(os.environ)
env["IS_SUBPROCESS"] = "1" # tell JVM to exit after python exits
proc = Popen(command, stdout=PIPE, stdin=PIPE, preexec_fn=preexec_func, env=env)
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:
# Grab the remaining lines of stdout
(stdout, _) = proc.communicate()
exit_code = proc.poll()
error_msg = "Launching GatewayServer failed"
error_msg += " with exit code %d!\n" % exit_code if exit_code else "!\n"
error_msg += "Warning: Expected GatewayServer to output a port, but found "
if gateway_port == "" and stdout == "":
error_msg += "no output.\n"
else:
error_msg += "the following:\n\n"
error_msg += "--------------------------------------------------------------\n"
error_msg += gateway_port + stdout
error_msg += "--------------------------------------------------------------\n"
raise Exception(error_msg)
# In Windows, ensure the Java child processes do not linger after Python has exited.
# In UNIX-based systems, the child process can kill itself on broken pipe (i.e. when
# the parent process' stdin sends an EOF). In Windows, however, this is not possible
# because java.lang.Process reads directly from the parent process' stdin, contending
# with any opportunity to read an EOF from the parent. Note that this is only best
# effort and will not take effect if the python process is violently terminated.
if on_windows:
# In Windows, the child process here is "spark-submit.cmd", not the JVM itself
# (because the UNIX "exec" command is not available). This means we cannot simply
# call proc.kill(), which kills only the "spark-submit.cmd" process but not the
# JVMs. Instead, we use "taskkill" with the tree-kill option "/t" to terminate all
# child processes in the tree (http://technet.microsoft.com/en-us/library/bb491009.aspx)
def killChild():
Popen(["cmd", "/c", "taskkill", "/f", "/t", "/pid", str(proc.pid)])
atexit.register(killChild)
# 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.*")
# TODO(davies): move into sql
java_import(gateway.jvm, "org.apache.spark.sql.*")
java_import(gateway.jvm, "org.apache.spark.sql.hive.*")
java_import(gateway.jvm, "scala.Tuple2")
return gateway