Skip to content

Instantly share code, notes, and snippets.

Embed
What would you like to do?
Testing storage of millions of keys in Redis
#! /usr/bin/env python
import redis
import random
import pylibmc
import sys
r = redis.Redis(host = 'localhost', port = 6389)
mc = pylibmc.Client(['localhost:11222'])
REDIS_SETGET = False
REDIS_HSET = False
MC = False
NUM_ENTRIES = 1000000
MAX_VAL = 12000000
if len(sys.argv) != 2 or sys.argv[1] not in ('redis-normal', 'redis-hashes', 'memcached'):
print 'Specify a test: redis-normal, redis-hashes, memcached'
print 'NOTE: clear out memcached (restart) or Redis (FLUSHALL) before running'
sys.exit(2)
if sys.argv[1] == 'redis-normal':
REDIS_SETGET = True
elif sys.argv[1] == 'redis-hashes':
REDIS_HSET = True
elif sys.argv[1] == 'memcached':
MC = True
p = r.pipeline()
for i in range(0, NUM_ENTRIES):
value = random.randint(0, MAX_VAL)
if MC:
mc.set(str(i), value)
elif REDIS_SETGET:
r.set(str(i), value)
elif REDIS_HSET:
bucket = int(i / 500)
p.hset(bucket, i, value)
if i % (NUM_ENTRIES/10) == 0:
if REDIS_SETGET or REDIS_HSET:
p.execute()
p = r.pipeline()
print i
# one final clear out
if REDIS_SETGET or REDIS_HSET:
p.execute()
# get size
if MC:
size = int(mc.get_stats()[0][1]['bytes'])
elif (REDIS_SETGET or REDIS_HSET):
size = int(r.info()['used_memory'])
print '%s bytes, %s MB' % (size, size / 1024 / 1024)
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
You can’t perform that action at this time.