我在本地机器上做了简单的性能测试,这是 python 脚本:
import redis
import sqlite3
import time
data = {}
N = 100000
for i in xrange(N):
key = "key-"+str(i)
value = "value-"+str(i)
data[key] = value
r = redis.Redis("localhost", db=1)
s = sqlite3.connect("testDB")
cs = s.cursor()
try:
cs.execute("CREATE TABLE testTable(key VARCHAR(256), value TEXT)")
except Exception as excp:
print str(excp)
cs.execute("DROP TABLE testTable")
cs.execute("CREATE TABLE testTable(key VARCHAR(256), value TEXT)")
print "[---Testing SQLITE---]"
sts = time.time()
for key in data:
cs.execute("INSERT INTO testTable VALUES(?,?)", (key, data[key]))
#s.commit()
s.commit()
ste = time.time()
print "[Total time of sql: %s]"%str(ste-sts)
print "[---Testing REDIS---]"
rts = time.time()
r.flushdb()# for empty db
for key in data:
r.set(key, data[key])
rte = time.time()
print "[Total time of redis: %s]"%str(rte-rts)
我希望 redis 执行得更快,但结果表明它要慢得多:
[---Testing SQLITE---]
[Total time of sql: 0.615846157074]
[---Testing REDIS---]
[Total time of redis: 10.9668009281]
那么,redis 是基于内存的,那么 sqlite 呢?为什么redis这么慢?什么时候需要使用redis,什么时候需要使用sqlite?