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loadDistributed.py
218 lines (190 loc) · 7.59 KB
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loadDistributed.py
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import argparse
import json
import os
import shutil
import asyncio
import datetime
import dateutil.parser
from time import sleep
from multiprocessing import Process, Pool
from utils import get_random_string
from zatt.server.main import setup as serverSetup
from zatt.client.distributedDict import DistributedDict
class Server:
def __init__(self, args):
self.address = (args.address, args.port)
self.config = {'address': self.address, 'debug': False,
'cluster': {self.address},
'storage': 'zatt.{}.persist'.format(args.port)}
self.leader_address = (args.leader_address, args.leader_port)
self.create_server()
while True:
sleep(2)
self.repeat()
def repeat(self):
self.leader.refresh()
if 'restart' not in self.leader:
return
sleep(2) # for other nodes to acknowledge restart
print('Stopping server')
self.server.terminate()
sleep(2)
print('Removing files')
shutil.rmtree('zatt.{}.persist'.format(self.address[1]))
print('Starting')
self.create_server()
def create_server(self, is_leader=True):
def server_factory(config):
serverSetup(config)
loop = asyncio.get_event_loop()
loop.run_forever()
self.server = Process(target=server_factory, args=(self.config,))
self.server.start()
if is_leader and self.address == self.leader_address:
sleep(1)
print('Restarting Leader to increment term')
self.server.terminate()
self.create_server(is_leader=False) # prevents recurtion
sleep(1)
else:
sleep(3)
self.leader = DistributedDict(*self.leader_address)
self.leader.config_cluster('add', *self.address)
class Client:
def __init__(self, args):
self.prefix = get_random_string(lenght=6)
self.last_job = None
self.leader_address = (args.leader_address, args.leader_port)
self.leader = DistributedDict(*self.leader_address)
while True:
try:
self.repeat()
except ConnectionRefusedError:
print('Connection refused')
except KeyError:
print('Server Initialization')
sleep(7 if self.last_job else 1)
def broadcast(self, term, read=False):
handle = '{}_{}'.format(term, self.prefix)
self.leader = DistributedDict(*self.leader_address)
if read:
return handle in self.leader
else:
self.leader[handle] = True
def repeat(self):
self.leader.refresh()
if not self.broadcast('checkin', read=True):
self.broadcast('checkin')
self.last_job = None
print('Restarted')
if 'job' not in self.leader:
return
job = self.leader['job']
start_time = dateutil.parser.parse(job['start_time'])
if start_time == self.last_job:
return
if start_time > datetime.datetime.now():
return
self.last_job = start_time
self.run_pool(
self.worker_writer, job['workers'],
[job['entries'] // job['clients'], job['dimention'],
self.leader_address[0], self.leader_address[1]])
def run_pool(self, func, workers, arguments=[]):
print('Running', workers)
pool = Pool(workers)
arguments[0] = arguments[0] // workers
pool.starmap(func, [arguments] * workers)
pool.terminate()
print('Terminated')
def worker_writer(self, entries, dimention, address, port):
client = DistributedDict(address, port)
worker_prefix = get_random_string(lenght=6)
stub_value = 'a' * dimention
for key in range(entries):
client[worker_prefix + str(key)] = stub_value
class Head:
def __init__(self, args):
self.leader_address = (args.leader_address, args.leader_port)
self.leader = DistributedDict(*self.leader_address)
self.results = []
print('Found {} test cases'.format(len(test_cases)))
for n, test_case in enumerate(test_cases):
ok = False
while not ok:
try:
print('Executing test {} of {}'.format(n, len(test_cases)))
self.send_test(test_case)
except Exception as e:
print('Error!')
print(e)
ok = input('Satisfied with result? ') == 'y'
comment = input('Comment?')
if ok:
self.results[-1]['comment'] = comment
with open('result_{}.json'.format(
datetime.datetime.now().isoformat()), 'w+') as f:
f.write(json.dumps(self.results, indent=2,
sort_keys=True))
else:
del self.results[-1]
def send_test(self, case):
print('Restarting...')
self.leader['restart'] = True
ready = False
sleep(7)
while not ready:
try:
self.leader.refresh()
client_count = len(list(filter(
lambda x: x.startswith('checkin'), self.leader)))
print('Servers {}, Clients {}'.format(
len(self.leader['cluster']), client_count))
ready = len(self.leader['cluster']) == expected_servers and\
client_count == expected_clients
if ready:
ready = input('Ready? ') == 'y'
else:
sleep(1)
except Exception as e:
print('Errors while waiting for clients to checkin', e)
sleep(1)
start_time = datetime.datetime.now() + datetime.timedelta(seconds=3)
case.update({'clients': client_count,
'start_time': start_time.isoformat()})
self.leader['job'] = case
print('Executing', case)
self.collect_stats(start_time, case)
def collect_stats(self, start_time, case):
count = 0
while self.leader.diagnostic['log']['commitIndex'] <= case['entries']:
sleep(0.2)
count += 1
if count == 5 * 30: # 30 seconds
count = 0
if input('Break? '):
break
finish_time = datetime.datetime.now()
print('Done writing in ', finish_time - start_time)
self.results.append(
{'elapsed_time': (finish_time - start_time).total_seconds(),
'config': case,
'diagnostic': self.leader.diagnostic})
# test_cases = [{'entries': 5000, 'workers': 128, 'dimention': 100}]
test_cases = [{'entries': entries, 'workers': workers, 'dimention': dimention}
for entries in [10, 100, 1000, 5000, 10000]
for workers in [10, 100, 256]
for dimention in [100, 1000]
if entries > workers]
expected_servers = 2
expected_clients = 1
types = {'server': Server, 'client': Client, 'head': Head}
parser = argparse.ArgumentParser(description='Load test client')
parser.add_argument('--type', choices=types.keys(), help='Type of instance')
parser.add_argument('--address', help='Server IP')
parser.add_argument('--port', type=int, help='Server Port')
parser.add_argument('--leader-address', help='leader Server IP')
parser.add_argument('--leader-port', type=int, help='leader Server Port')
if __name__ == '__main__':
args = parser.parse_args()
types[args.type](args)