def main():
split_index = read_int(sys.stdin)
spark_files_dir = load_pickle(read_with_length(sys.stdin))
SparkFiles._root_directory = spark_files_dir
SparkFiles._is_running_on_worker = True
sys.path.append(spark_files_dir)
num_broadcast_variables = read_int(sys.stdin)
for _ in range(num_broadcast_variables):
bid = read_long(sys.stdin)
value = read_with_length(sys.stdin)
_broadcastRegistry[bid] = Broadcast(bid, load_pickle(value))
func = load_obj()
bypassSerializer = load_obj()
if bypassSerializer:
dumps = lambda x: x
else:
dumps = dump_pickle
iterator = read_from_pickle_file(sys.stdin)
try:
for obj in func(split_index, iterator):
write_with_length(dumps(obj), old_stdout)
except Exception as e:
write_int(-2, old_stdout)
write_with_length(traceback.format_exc(), old_stdout)
sys.exit(-1)
# Mark the beginning of the accumulators section of the output
write_int(-1, old_stdout)
for aid, accum in _accumulatorRegistry.items():
write_with_length(dump_pickle((aid, accum._value)), old_stdout)
def main():
split_index = read_int(sys.stdin)
spark_files_dir = load_pickle(read_with_length(sys.stdin))
SparkFiles._root_directory = spark_files_dir
SparkFiles._is_running_on_worker = True
sys.path.append(spark_files_dir)
num_broadcast_variables = read_int(sys.stdin)
for _ in range(num_broadcast_variables):
bid = read_long(sys.stdin)
value = read_with_length(sys.stdin)
_broadcastRegistry[bid] = Broadcast(bid, load_pickle(value))
func = load_obj()
bypassSerializer = load_obj()
if bypassSerializer:
dumps = lambda x: x
else:
dumps = dump_pickle
iterator = read_from_pickle_file(sys.stdin)
try:
for obj in func(split_index, iterator):
write_with_length(dumps(obj), old_stdout)
except Exception as e:
write_int(-2, old_stdout)
write_with_length(traceback.format_exc(), old_stdout)
sys.exit(-1)
# Mark the beginning of the accumulators section of the output
write_int(-1, old_stdout)
for aid, accum in _accumulatorRegistry.items():
write_with_length(dump_pickle((aid, accum._value)), old_stdout)
def main(infile, outfile):
boot_time = time.time()
split_index = read_int(infile)
if split_index == -1: # for unit tests
return
# fetch name of workdir
spark_files_dir = load_pickle(read_with_length(infile))
SparkFiles._root_directory = spark_files_dir
SparkFiles._is_running_on_worker = True
# fetch names and values of broadcast variables
num_broadcast_variables = read_int(infile)
for _ in range(num_broadcast_variables):
bid = read_long(infile)
value = read_with_length(infile)
_broadcastRegistry[bid] = Broadcast(bid, load_pickle(value))
# 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):
sys.path.append(
os.path.join(spark_files_dir,
load_pickle(read_with_length(infile))))
# now load function
func = load_obj(infile)
bypassSerializer = load_obj(infile)
if bypassSerializer:
dumps = lambda x: x
else:
dumps = dump_pickle
init_time = time.time()
iterator = read_from_pickle_file(infile)
try:
for obj in func(split_index, iterator):
write_with_length(dumps(obj), outfile)
except Exception as e:
write_int(-2, outfile)
write_with_length(traceback.format_exc(), outfile)
sys.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(-1, outfile)
for aid, accum in _accumulatorRegistry.items():
write_with_length(dump_pickle((aid, accum._value)), outfile)
write_int(-1, outfile)
def main(infile, outfile):
boot_time = time.time()
split_index = read_int(infile)
if split_index == -1: # for unit tests
return
# fetch name of workdir
spark_files_dir = load_pickle(read_with_length(infile))
SparkFiles._root_directory = spark_files_dir
SparkFiles._is_running_on_worker = True
# fetch names and values of broadcast variables
num_broadcast_variables = read_int(infile)
for _ in range(num_broadcast_variables):
bid = read_long(infile)
value = read_with_length(infile)
_broadcastRegistry[bid] = Broadcast(bid, load_pickle(value))
# 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):
sys.path.append(os.path.join(spark_files_dir, load_pickle(read_with_length(infile))))
# now load function
func = load_obj(infile)
bypassSerializer = load_obj(infile)
if bypassSerializer:
dumps = lambda x: x
else:
dumps = dump_pickle
init_time = time.time()
iterator = read_from_pickle_file(infile)
try:
for obj in func(split_index, iterator):
write_with_length(dumps(obj), outfile)
except Exception as e:
write_int(-2, outfile)
write_with_length(traceback.format_exc(), outfile)
sys.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(-1, outfile)
for aid, accum in _accumulatorRegistry.items():
write_with_length(dump_pickle((aid, accum._value)), outfile)
write_int(-1, outfile)
def handle(self):
from pyspark.accumulators import _accumulatorRegistry
num_updates = read_int(self.rfile)
for _ in range(num_updates):
(aid, update) = load_pickle(read_with_length(self.rfile))
_accumulatorRegistry[aid] += update
# Write a byte in acknowledgement
self.wfile.write(struct.pack("!b", 1))
def handle(self):
from pyspark.accumulators import _accumulatorRegistry
num_updates = read_int(self.rfile)
for _ in range(num_updates):
(aid, update) = load_pickle(read_with_length(self.rfile))
_accumulatorRegistry[aid] += update
# Write a byte in acknowledgement
self.wfile.write(struct.pack("!b", 1))
def main(infile, outfile):
boot_time = time.time()
split_index = read_int(infile)
if split_index == -1: # for unit tests
return
spark_files_dir = load_pickle(read_with_length(infile))
SparkFiles._root_directory = spark_files_dir
SparkFiles._is_running_on_worker = True
sys.path.append(spark_files_dir)
num_broadcast_variables = read_int(infile)
for _ in range(num_broadcast_variables):
bid = read_long(infile)
value = read_with_length(infile)
_broadcastRegistry[bid] = Broadcast(bid, load_pickle(value))
func = load_obj(infile)
bypassSerializer = load_obj(infile)
if bypassSerializer:
dumps = lambda x: x
else:
dumps = dump_pickle
init_time = time.time()
iterator = read_from_pickle_file(infile)
try:
for obj in func(split_index, iterator):
write_with_length(dumps(obj), outfile)
except Exception as e:
write_int(-2, outfile)
write_with_length(traceback.format_exc(), outfile)
sys.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(-1, outfile)
for aid, accum in _accumulatorRegistry.items():
write_with_length(dump_pickle((aid, accum._value)), outfile)
write_int(-1, outfile)
def main(infile, outfile):
boot_time = time.time()
split_index = read_int(infile)
if split_index == -1: # for unit tests
return
spark_files_dir = load_pickle(read_with_length(infile))
SparkFiles._root_directory = spark_files_dir
SparkFiles._is_running_on_worker = True
sys.path.append(spark_files_dir)
num_broadcast_variables = read_int(infile)
for _ in range(num_broadcast_variables):
bid = read_long(infile)
value = read_with_length(infile)
_broadcastRegistry[bid] = Broadcast(bid, load_pickle(value))
func = load_obj(infile)
bypassSerializer = load_obj(infile)
if bypassSerializer:
dumps = lambda x: x
else:
dumps = dump_pickle
init_time = time.time()
iterator = read_from_pickle_file(infile)
try:
for obj in func(split_index, iterator):
write_with_length(dumps(obj), outfile)
except Exception as e:
write_int(-2, outfile)
write_with_length(traceback.format_exc(), outfile)
sys.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(-1, outfile)
for aid, accum in _accumulatorRegistry.items():
write_with_length(dump_pickle((aid, accum._value)), outfile)
write_int(-1, outfile)
def main():
split_index = read_int(sys.stdin)
num_broadcast_variables = read_int(sys.stdin)
for _ in range(num_broadcast_variables):
bid = read_long(sys.stdin)
value = read_with_length(sys.stdin)
_broadcastRegistry[bid] = Broadcast(bid, load_pickle(value))
func = load_obj()
bypassSerializer = load_obj()
if bypassSerializer:
dumps = lambda x: x
else:
dumps = dump_pickle
iterator = read_from_pickle_file(sys.stdin)
for obj in func(split_index, iterator):
write_with_length(dumps(obj), old_stdout)
def load_obj(infile):
return load_pickle(standard_b64decode(infile.readline().strip()))
def load_obj():
return load_pickle(standard_b64decode(sys.stdin.readline().strip()))
def load_obj(infile):
return load_pickle(standard_b64decode(infile.readline().strip()))
def load_obj():
return load_pickle(standard_b64decode(sys.stdin.readline().strip()))
