Redis中超过40亿个关键值对？

Question

import redis
import pymysql

conn = pymysql.connect(host='localhost',user='user',passwd='password',db='foo')
cur = conn.cursor()
cur.execute('select startipnum,endipnum,isp from wiki.ipisp order by endipnum;')
result = cur.fetchall()

r = redis.StrictRedis(host='localhost', port=6379, db=0)
ispctr = 1
for row in result:
    tempDict = {'ispname':row[2],'fromval':row[0],'toval':row[1]}
    namefield = ispctr
    r.hmset(namefield,tempDict)
    r.zadd('ispmaxindex',row[1],namefield)
    ispctr = ispctr+1
conn.close()

ipstotest = ['23.23.23.23','24.96.185.10','203.59.91.235','188.66.105.50','99.98.163.93']
for ip in ipstotest:
    ipvalsList = [int(ipoct) for ipoct in ip.split('.')]
    ipnum = (16777216*ipvalsList[0]) + (65536*ipvalsList[1]) + (256*ipvalsList[2]) + ipvalsList[3]
    ipnum = long(ipnum)
    tempVal1 = r.zrangebyscore('ispmaxindex',ipnum,float('Inf'),0,1)
    tempval2 = r.hgetall(tempval1[0])
    print tempval2['ispname']

Answer 1

您可以在Redis中存储4B个项目，但性能没有具体的降低，但您需要为此提供内存（即，所有内容都必须放入内存）。

这里介绍了用Redis实现这类查询的最佳方法：

在Redis中存储ip范围

还有这里：

Redis或Mongo来确定一个数字是否在范围内？