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 = ser._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)
def main(infile, outfile):
try:
boot_time = time.time()
split_index = read_int(infile)
if split_index == -1: # for unit tests
exit(-1)
# initialize global state
shuffle.MemoryBytesSpilled = 0
shuffle.DiskBytesSpilled = 0
_accumulatorRegistry.clear()
# 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
add_path(
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)
add_path(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)
if bid >= 0:
value = ser._read_with_length(infile)
_broadcastRegistry[bid] = Broadcast(bid, value)
else:
bid = -bid - 1
_broadcastRegistry.pop(bid)
_accumulatorRegistry.clear()
command = pickleSer._read_with_length(infile)
if isinstance(command, Broadcast):
command = pickleSer.loads(command.value)
(func, stats, deserializer, serializer) = command
init_time = time.time()
def process():
iterator = deserializer.load_stream(infile)
serializer.dump_stream(func(split_index, iterator), outfile)
if stats:
p = cProfile.Profile()
p.runcall(process)
st = pstats.Stats(p)
st.stream = None # make it picklable
stats.add(st.strip_dirs())
else:
process()
except Exception:
try:
write_int(SpecialLengths.PYTHON_EXCEPTION_THROWN, outfile)
write_with_length(traceback.format_exc(), outfile)
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)
write_long(shuffle.MemoryBytesSpilled, outfile)
write_long(shuffle.DiskBytesSpilled, outfile)
# 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)
# check end of stream
if read_int(infile) == SpecialLengths.END_OF_STREAM:
write_int(SpecialLengths.END_OF_STREAM, outfile)
else:
# write a different value to tell JVM to not reuse this worker
write_int(SpecialLengths.END_OF_DATA_SECTION, outfile)
exit(-1)
def main(infile, outfile):
try:
boot_time = time.time()
split_index = read_int(infile)
if split_index == -1: # for unit tests
return
# initialize global state
shuffle.MemoryBytesSpilled = 0
shuffle.DiskBytesSpilled = 0
_accumulatorRegistry.clear()
# 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
add_path(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)
add_path(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)
if bid >= 0:
value = ser._read_with_length(infile)
_broadcastRegistry[bid] = Broadcast(bid, value)
else:
bid = - bid - 1
_broadcastRegistry.pop(bid)
_accumulatorRegistry.clear()
command = pickleSer._read_with_length(infile)
if isinstance(command, Broadcast):
command = pickleSer.loads(command.value)
(func, stats, deserializer, serializer) = command
init_time = time.time()
def process():
iterator = deserializer.load_stream(infile)
serializer.dump_stream(func(split_index, iterator), outfile)
if stats:
p = cProfile.Profile()
p.runcall(process)
st = pstats.Stats(p)
st.stream = None # make it picklable
stats.add(st.strip_dirs())
else:
process()
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)
write_long(shuffle.MemoryBytesSpilled, outfile)
write_long(shuffle.DiskBytesSpilled, outfile)
# 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)