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|
"""Benchmark diskcache.Cache
$ export PYTHONPATH=/Users/grantj/repos/python-diskcache
$ python tests/benchmark_core.py -p 1 > tests/timings_core_p1.txt
$ python tests/benchmark_core.py -p 8 > tests/timings_core_p8.txt
"""
import collections as co
import multiprocessing as mp
import os
import pickle
import random
import shutil
import time
import warnings
from utils import display
PROCS = 8
OPS = int(1e5)
RANGE = 100
WARMUP = int(1e3)
caches = []
###############################################################################
# Disk Cache Benchmarks
###############################################################################
import diskcache # noqa
caches.append(
(
'diskcache.Cache',
diskcache.Cache,
('tmp',),
{},
)
)
caches.append(
(
'diskcache.FanoutCache(shards=4, timeout=1.0)',
diskcache.FanoutCache,
('tmp',),
{'shards': 4, 'timeout': 1.0},
)
)
caches.append(
(
'diskcache.FanoutCache(shards=8, timeout=0.010)',
diskcache.FanoutCache,
('tmp',),
{'shards': 8, 'timeout': 0.010},
)
)
###############################################################################
# PyLibMC Benchmarks
###############################################################################
try:
import pylibmc
caches.append(
(
'pylibmc.Client',
pylibmc.Client,
(['127.0.0.1'],),
{
'binary': True,
'behaviors': {'tcp_nodelay': True, 'ketama': True},
},
)
)
except ImportError:
warnings.warn('skipping pylibmc')
###############################################################################
# Redis Benchmarks
###############################################################################
try:
import redis
caches.append(
(
'redis.StrictRedis',
redis.StrictRedis,
(),
{'host': 'localhost', 'port': 6379, 'db': 0},
)
)
except ImportError:
warnings.warn('skipping redis')
def worker(num, kind, args, kwargs):
random.seed(num)
time.sleep(0.01) # Let other processes start.
obj = kind(*args, **kwargs)
timings = co.defaultdict(list)
for count in range(OPS):
key = str(random.randrange(RANGE)).encode('utf-8')
value = str(count).encode('utf-8') * random.randrange(1, 100)
choice = random.random()
if choice < 0.900:
start = time.time()
result = obj.get(key)
end = time.time()
miss = result is None
action = 'get'
elif choice < 0.990:
start = time.time()
result = obj.set(key, value)
end = time.time()
miss = result is False
action = 'set'
else:
start = time.time()
result = obj.delete(key)
end = time.time()
miss = result is False
action = 'delete'
if count > WARMUP:
delta = end - start
timings[action].append(delta)
if miss:
timings[action + '-miss'].append(delta)
with open('output-%d.pkl' % num, 'wb') as writer:
pickle.dump(timings, writer, protocol=pickle.HIGHEST_PROTOCOL)
def dispatch():
for name, kind, args, kwargs in caches:
shutil.rmtree('tmp', ignore_errors=True)
obj = kind(*args, **kwargs)
for key in range(RANGE):
key = str(key).encode('utf-8')
obj.set(key, key)
try:
obj.close()
except Exception:
pass
processes = [
mp.Process(target=worker, args=(value, kind, args, kwargs))
for value in range(PROCS)
]
for process in processes:
process.start()
for process in processes:
process.join()
timings = co.defaultdict(list)
for num in range(PROCS):
filename = 'output-%d.pkl' % num
with open(filename, 'rb') as reader:
output = pickle.load(reader)
for key in output:
timings[key].extend(output[key])
os.remove(filename)
display(name, timings)
if __name__ == '__main__':
import argparse
parser = argparse.ArgumentParser(
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
)
parser.add_argument(
'-p',
'--processes',
type=int,
default=PROCS,
help='Number of processes to start',
)
parser.add_argument(
'-n',
'--operations',
type=float,
default=OPS,
help='Number of operations to perform',
)
parser.add_argument(
'-r',
'--range',
type=int,
default=RANGE,
help='Range of keys',
)
parser.add_argument(
'-w',
'--warmup',
type=float,
default=WARMUP,
help='Number of warmup operations before timings',
)
args = parser.parse_args()
PROCS = int(args.processes)
OPS = int(args.operations)
RANGE = int(args.range)
WARMUP = int(args.warmup)
dispatch()
|
