def distribute_shuffle(machine):
connect_cmd = f"ssh -o \'StrictHostKeyChecking=no\' asenet@{machine}"
send_shuffle_cmd = f' python3 /tmp/asenet/slave.py 3'
return_code_shuffle = cmd_bash(connect_cmd + send_shuffle_cmd,
wait=False,
timeout=1200)
return return_code_shuffle, machine
def launch_reduce(machine):
cmd_reduce = f"ssh asenet@{machine} python3 /tmp/asenet/slave.py 2"
logging.debug(cmd_reduce)
return_cmd = cmd_bash(cmd_reduce, result=True)
return_code_slave = return_cmd[0]
return_result = return_cmd[1]
logging.debug(f"reduce done on machine {machine} RETURN, {return_cmd}")
return return_code_slave, machine, return_result
def launch_map(machine, file):
cmd_map = f"ssh asenet@{machine} python3 /tmp/asenet/slave.py 0 {file}"
return_code_slave = cmd_bash(cmd_map)
return return_code_slave, machine, file
def launch_shuffle(machine, machines):
cmd_shuffle = f"ssh asenet@{machine} 'python3 /tmp/asenet/slave.py 1 \"{machines}\"'"
logging.debug(cmd_shuffle)
return_code_slave = cmd_bash(cmd_shuffle, wait=True)
return return_code_slave, machine
def main():
start = time.time()
if len(sys.argv) > 3:
print('usage: ./master.py {--deploy} file')
sys.exit(1)
logging.debug("test debug")
## Launch clean and Deploy (optionnal)
if sys.argv[1] == '--deploy':
logging.info(" START Clean and deploy")
logging.debug(" launch Clean")
cmd_clean = "python3 clean.py"
return_clean = cmd_bash(cmd_clean,
result=True,
wait=False,
timeout=100)
logging.debug(return_clean)
logging.debug(" launch deploy")
cmd_deploy = "python3 deploy.py"
return_deploy = cmd_bash(cmd_deploy,
result=True,
wait=False,
timeout=100)
logging.debug(return_deploy)
if return_clean[0] == 0 and return_deploy[0] == 0:
filename = sys.argv[2]
point0 = time.time()
elapsed = point0 - start
start = point0
logging.info(f' Clean and deploy took : {elapsed:.5f} seconds')
else:
filename = sys.argv[1]
filepath = f"input/{filename}"
## Count how many words
txt_len, unique_words, number_of_characters = get_txt_words(filepath)
logging.info(
f" Text has {number_of_characters} caracters, {txt_len} words, {unique_words} different words"
)
## Remove existing splits
cmd_del_splits = f"rm -rf /tmp/asenet/splits/*"
return_code_del_splits = cmd_bash(cmd_del_splits)
if return_code_del_splits == 0:
logging.info(f" Removed splits from local folder")
## 1 split per up machine
with open('/tmp/asenet/machines.txt') as f:
machines_list = f.read().splitlines()
logging.info(f' NB machines used : {len(machines_list)}')
logging.debug('machines up: ' + str(machines_list))
# Making as much chunk as machines (adding 5% more due to line breaks not counted by len)
char_chunk = ceil(number_of_characters / len(machines_list) * 1.10)
## Create Splits Files:
splits = create_splits(filepath, char_chunk, splits_folder)
logging.debug(f'splits {splits}')
logging.info(
f" Created {len(splits)} splits of {char_chunk} char size from text")
point1 = time.time()
elapsed = point1 - start
logging.info(f' Splits Creation took : {elapsed:.5f} secondes')
## Assign each split to a machine
split_files = list(
map(os.path.basename, glob.glob(splits_folder + "*.txt")))
file_machine_assign = {
file: machines_list[split_files.index(file) % len(machines_list)]
for file in split_files
}
## Create split Dir before scp
multiprocess(make_dir,
machines_list,
repeat(splits_folder),
action="Create Splits Folder")
point2 = time.time()
elapsed = point2 - point1
logging.info(f' Folder Created in: {elapsed:.5f} secondes')
## Send Machine file
multiprocess(scp_file,
repeat(root_folder),
file_machine_assign.values(),
repeat('machines.txt'),
action="Send machines.txt")
point2b = time.time()
elapsed = point2b - point2
logging.info(f' Send machine list: {elapsed:.5f} secondes')
## SCP split file
machines_working = multiprocess(scp_file,
repeat(splits_folder),
file_machine_assign.values(),
file_machine_assign.keys(),
action="Splits upload")[0]
logging.info(f"Sent split {file_machine_assign}")
logging.debug(f"marchines working {machines_working}")
point3 = time.time()
elapsed = point3 - point2b
logging.info(f' Splits files sent in: {elapsed:.5f} secondes')
## Launch map
multiprocess(launch_map,
machines_working,
split_files,
action="Launch map")
point4 = time.time()
elapsed = point4 - point3
logging.info(f' MAPS FINISHED in: {elapsed:.5f} secondes')
##Make and distribute Shuffle files
multiprocess(launch_shuffle,
machines_working,
repeat(machines_working),
action="Shuffling")
point5 = time.time()
elapsed = point5 - point4
logging.info(f' SHUFFLE FINISHED in : {elapsed:.5f} secondes')
##Launch Reduce
reduce_results = multiprocess(launch_reduce,
machines_working,
action="Reduce")
logging.debug(f"Reduce results {reduce_results}")
point7 = time.time()
elapsed = point7 - point5
logging.info(f' REDUCE FINISHED in : {elapsed:.5f} secondes')
##Gather results
word_count_final = show_results(reduce_results)
logging.debug(f"word final {word_count_final}")
end = time.time()
logging.info(f"MAP/REDUCE in {(end - start)} s")
logging.debug(f"END")
