KVS性能比較/測定

memcached_perf.py

## memcached, Couchbaseで使用

import sys
import pylibmc
import md5
import time
import random

host = 'host:port'
mc = pylibmc.Client([host])

ITEM_COUNT = 1000000

SET_TIMES = []
for c in range(0, 10):
    t1 = time.time() * 1000
    for i in range(0, 1000):
        key = md5.new(str(random.randint(1, ITEM_COUNT-1))).hexdigest()
        val = key * 4
        mc.set(key, val)
    t2 = time.time() * 1000
    SET_TIMES.append(t2 - t1)
avg = sum(SET_TIMES) / 10
print 'SET TIME(1000 items): %f ms' % (avg)

GET_TIMES = []
for c in range(0, 10):
    t1 = time.time() * 1000
    for i in range(0, 1000):
        key = md5.new(str(random.randint(1, ITEM_COUNT-1))).hexdigest()
        mc.get(key)
    t2 = time.time() * 1000
    GET_TIMES.append(t2 - t1)
avg = sum(GET_TIMES) / 10
print 'GET TIME(1000 items): %f ms' % (avg)

mongodb_perf.py

import sys
import pymongo
import md5
import time
import random

host = 'host:port'
conn = pymongo.Connection([host])
db = conn.test

ITEM_COUNT = 1000000

SET_TIMES = []
for c in range(0, 10):
    t1 = time.time() * 1000
    for i in range(0, 1000):
        key = md5.new(str(random.randint(1, ITEM_COUNT-1))).hexdigest()
        val = key * 4
        db.mycoll.save({'_id': key, 'val': val}, safe=True)
    t2 = time.time() * 1000
    SET_TIMES.append(t2 - t1)
print str(SET_TIMES)
avg = sum(SET_TIMES) / 10
print 'SET TIME(1000 items): %f ms' % (avg)

GET_TIMES = []
for c in range(0, 10):
    t1 = time.time() * 1000
    for i in range(0, 1000):
        key = md5.new(str(random.randint(1, ITEM_COUNT-1))).hexdigest()
        db.mycoll.find_one(key)
    t2 = time.time() * 1000
    GET_TIMES.append(t2 - t1)
avg = sum(GET_TIMES) / 10
print 'GET TIME(1000 items): %f ms' % (avg)

redis_perf.py

import redis
import md5
import time
import random

host = 'host'
port = port
rc = redis.Redis(host, port)

ITEM_COUNT = 1000000

SET_TIMES = []
for c in range(0, 10):
    t1 = time.time() * 1000
    for i in range(0, 1000):
        key = md5.new(str(random.randint(1, ITEM_COUNT-1))).hexdigest()
        val = key * 4
        rc.set(key, val)
    t2 = time.time() * 1000
    SET_TIMES.append(t2 - t1)
avg = sum(SET_TIMES) / 10
print 'SET TIME(1000 items): %f ms' % (avg)

GET_TIMES = []
for c in range(0, 10):
    t1 = time.time() * 1000
    for i in range(0, 1000):
        key = md5.new(str(random.randint(1, ITEM_COUNT-1))).hexdigest()
        rc.get(key)
    t2 = time.time() * 1000
    GET_TIMES.append(t2 - t1)
avg = sum(GET_TIMES) / 10
print 'GET TIME(1000 items): %f ms' % (avg)