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Testing storage of millions of keys in Redis
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| #! /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) |
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