| """Benchmark diskcache.DjangoCache |
| |
| $ export PYTHONPATH=/Users/grantj/repos/python-diskcache |
| $ python tests/benchmark_djangocache.py > tests/timings_djangocache.txt |
| """ |
|
|
| import collections as co |
| import multiprocessing as mp |
| import os |
| import pickle |
| import random |
| import shutil |
| import time |
|
|
| from utils import display |
|
|
| PROCS = 8 |
| OPS = int(1e5) |
| RANGE = int(1.1e3) |
| WARMUP = int(1e3) |
|
|
|
|
| def setup(): |
| os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'tests.settings_benchmark') |
| import django |
|
|
| django.setup() |
|
|
|
|
| def worker(num, name): |
| setup() |
|
|
| from django.core.cache import caches |
|
|
| obj = caches[name] |
|
|
| random.seed(num) |
|
|
| timings = co.defaultdict(list) |
|
|
| time.sleep(0.01) |
|
|
| 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 prepare(name): |
| setup() |
|
|
| from django.core.cache import caches |
|
|
| obj = caches[name] |
|
|
| for key in range(RANGE): |
| key = str(key).encode('utf-8') |
| obj.set(key, key) |
|
|
| try: |
| obj.close() |
| except Exception: |
| pass |
|
|
|
|
| def dispatch(): |
| setup() |
|
|
| from django.core.cache import caches |
|
|
| for name in ['locmem', 'memcached', 'redis', 'diskcache', 'filebased']: |
| shutil.rmtree('tmp', ignore_errors=True) |
|
|
| preparer = mp.Process(target=prepare, args=(name,)) |
| preparer.start() |
| preparer.join() |
|
|
| processes = [ |
| mp.Process(target=worker, args=(value, name)) |
| 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() |
|
|