spark-instrumented-optimizer/python/pyspark/worker.py
Josh Rosen 1f1819b20f [SPARK-3114] [PySpark] Fix Python UDFs in Spark SQL.
This fixes SPARK-3114, an issue where we inadvertently broke Python UDFs in Spark SQL.

This PR modifiers the test runner script to always run the PySpark SQL tests, irrespective of whether SparkSQL itself has been modified.  It also includes Davies' fix for the bug.

Closes #2026.

Author: Josh Rosen <joshrosen@apache.org>
Author: Davies Liu <davies.liu@gmail.com>

Closes #2027 from JoshRosen/pyspark-sql-fix and squashes the following commits:

9af2708 [Davies Liu] bugfix: disable compression of command
0d8d3a4 [Josh Rosen] Always run Python Spark SQL tests.
2014-08-18 20:42:19 -07:00

109 lines
4.1 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.
#
"""
Worker that receives input from Piped RDD.
"""
import os
import sys
import time
import socket
import traceback
# CloudPickler needs to be imported so that depicklers are registered using the
# copy_reg module.
from pyspark.accumulators import _accumulatorRegistry
from pyspark.broadcast import Broadcast, _broadcastRegistry
from pyspark.cloudpickle import CloudPickler
from pyspark.files import SparkFiles
from pyspark.serializers import write_with_length, write_int, read_long, \
write_long, read_int, SpecialLengths, UTF8Deserializer, PickleSerializer, \
CompressedSerializer
pickleSer = PickleSerializer()
utf8_deserializer = UTF8Deserializer()
def report_times(outfile, boot, init, finish):
write_int(SpecialLengths.TIMING_DATA, outfile)
write_long(1000 * boot, outfile)
write_long(1000 * init, outfile)
write_long(1000 * finish, outfile)
def main(infile, outfile):
try:
boot_time = time.time()
split_index = read_int(infile)
if split_index == -1: # for unit tests
return
# fetch name of workdir
spark_files_dir = utf8_deserializer.loads(infile)
SparkFiles._root_directory = spark_files_dir
SparkFiles._is_running_on_worker = True
# fetch names of includes (*.zip and *.egg files) and construct PYTHONPATH
sys.path.append(spark_files_dir) # *.py files that were added will be copied here
num_python_includes = read_int(infile)
for _ in range(num_python_includes):
filename = utf8_deserializer.loads(infile)
sys.path.append(os.path.join(spark_files_dir, filename))
# fetch names and values of broadcast variables
num_broadcast_variables = read_int(infile)
ser = CompressedSerializer(pickleSer)
for _ in range(num_broadcast_variables):
bid = read_long(infile)
value = ser._read_with_length(infile)
_broadcastRegistry[bid] = Broadcast(bid, value)
command = pickleSer._read_with_length(infile)
(func, deserializer, serializer) = command
init_time = time.time()
iterator = deserializer.load_stream(infile)
serializer.dump_stream(func(split_index, iterator), outfile)
except Exception:
try:
write_int(SpecialLengths.PYTHON_EXCEPTION_THROWN, outfile)
write_with_length(traceback.format_exc(), outfile)
outfile.flush()
except IOError:
# JVM close the socket
pass
except Exception:
# Write the error to stderr if it happened while serializing
print >> sys.stderr, "PySpark worker failed with exception:"
print >> sys.stderr, traceback.format_exc()
exit(-1)
finish_time = time.time()
report_times(outfile, boot_time, init_time, finish_time)
# Mark the beginning of the accumulators section of the output
write_int(SpecialLengths.END_OF_DATA_SECTION, outfile)
write_int(len(_accumulatorRegistry), outfile)
for (aid, accum) in _accumulatorRegistry.items():
pickleSer._write_with_length((aid, accum._value), outfile)
if __name__ == '__main__':
# Read a local port to connect to from stdin
java_port = int(sys.stdin.readline())
sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
sock.connect(("127.0.0.1", java_port))
sock_file = sock.makefile("a+", 65536)
main(sock_file, sock_file)