家政网站制作/关键词排名代做

导读

　　set类型是string类型的集合，其特点是集合元素无序且不重复，每个集合最多可以存储 232 - 1 个元素（40多亿），set类型主要有以下应用场景。

1. 好友/关注/粉丝/感兴趣的人集合

　　set类型唯一的特点使得其适合用于存储好友/关注/粉丝/感兴趣的人集合，集合中的元素数量可能很多，每次全部取出来成本不小，set类型提供了一些很实用的命令用于直接操作这些集合，如：

a. sinter命令可以获得A和B两个用户的共同好友

b. sismember命令可以判断A是否是B的好友

c. scard命令可以获取好友数量

d. 关注时，smove命令可以将B从A的粉丝集合转移到A的好友集合

2. 随机展示

　　通常，app首页的展示区域有限，但是又不能总是展示固定的内容，一种做法是先确定一批需要展示的内容，再从中随机获取。如下图所示，酷狗音乐K歌擂台赛当日的打擂歌曲共29首，首页随机展示5首；昨日打擂金曲共200首，首页随机展示30首。

set类型适合存放所有需要展示的内容，而srandmember命令则可以从中随机获取几个。

3. 黑名单/白名单

　　经常有业务出于安全性方面的考虑，需要设置用户黑名单、ip黑名单、设备黑名单等，set类型适合存储这些黑名单数据，sismember命令可用于判断用户、ip、设备是否处于黑名单之中。

创建测试类【demo12.py】

新增

sadd(name,values)

name - 对应的集合中添加元素

import redisr = redis.Redis(host='localhost', port=6379, decode_responses=True)
r.flushall()r.sadd("myset","方块A","梅花A","红桃A","黑桃A","大王","小王")print(r.scard("myset"))#集合长度
print(r.smembers("myset"))#查询所有成员

 

元组方式获取

import redisr = redis.Redis(host='localhost', port=6379, decode_responses=True)
r.flushall()r.sadd("myset","方块A","梅花A","红桃A","黑桃A","大王","小王")scan=r.sscan("myset")#按照元组的方式获取
print(scan)print(r.sscan_iter("myset"))#获取迭代器
#遍历迭代器
for str in r.sscan_iter("myset"):print(str)

差集

import redisr = redis.Redis(host='localhost', port=6379, decode_responses=True)
r.flushall()r.sadd("myset1","方块A","梅花A","红桃A","黑桃A","大王","小王")
r.sadd("myset2","方块2","梅花2","红桃2","黑桃2","大王","小王")print(r.smembers("myset1"))#myset1所有元素
print(r.smembers("myset2"))#myset2所有元素print(r.sdiff("myset1","myset2"))#myset1对myset2的差集
print(r.sdiff("myset2","myset1"))#myset2对myset1的差集r.sdiffstore("myset3","myset1","myset2")#将myset1对myset2的差集存储到myset3中
print("myset3:",r.smembers("myset3"))

交集

import redisr = redis.Redis(host='localhost', port=6379, decode_responses=True)
r.flushall()r.sadd("myset1","方块A","梅花A","红桃A","黑桃A","大王","小王")
r.sadd("myset2","方块2","梅花2","红桃2","黑桃2","大王","小王")print(r.smembers("myset1"))#myset1所有元素
print(r.smembers("myset2"))#myset2所有元素print(r.sinter("myset1","myset2"))#myset1对myset2的交集
print(r.sinter("myset2","myset1"))#myset2对myset1的交集r.sinterstore("myset3","myset1","myset2")#将myset1对myset2的交集存储到myset3中
print("myset3:",r.smembers("myset3"))

并集

import redisr = redis.Redis(host='localhost', port=6379, decode_responses=True)
r.flushall()r.sadd("myset1","方块A","梅花A","红桃A","黑桃A","大王","小王")
r.sadd("myset2","方块2","梅花2","红桃2","黑桃2","大王","小王")print(r.smembers("myset1"))#myset1所有元素
print(r.smembers("myset2"))#myset2所有元素print(r.sunion("myset1","myset2"))#myset1对myset2的并集
print(r.sunion("myset2","myset1"))#myset2对myset1的并集r.sunionstore("myset3","myset1","myset2")#将myset1对myset2的并集存储到myset3中
print("myset3:",r.smembers("myset3"))

判断是否是集合的成员

import redisr = redis.Redis(host='localhost', port=6379, decode_responses=True)
r.flushall()r.sadd("myset1","方块A","梅花A","红桃A","黑桃A","大王","小王")print(r.smembers("myset1"))#myset1所有元素print(r.sismember("myset1","红桃A"))#判断红桃A是否是集合中的成员
print(r.sismember("myset1","红桃2"))#判断红桃2是否是集合中的成员

移动

smove(src, dst, value)

将某个成员从一个集合中移动到另外一个集合

import redisr = redis.Redis(host='localhost', port=6379, decode_responses=True)
r.flushall()r.sadd("myset1","方块A","梅花A","红桃A","黑桃A","大王","小王")
r.sadd("myset2","方块2","梅花2","红桃2","黑桃2","大王","小王")print(r.smembers("myset1"))#myset1所有元素
print(r.smembers("myset2"))#myset2所有元素r.smove("myset1", "myset2", "方块A")print(r.smembers("myset1"))#myset1所有元素
print(r.smembers("myset2"))#myset2所有元素

删除·可以随机或指定删除

import redisr = redis.Redis(host='localhost', port=6379, decode_responses=True)
r.flushall()r.sadd("myset1","方块A","梅花A","红桃A","黑桃A","大王","小王")
r.sadd("myset2","方块2","梅花2","红桃2","黑桃2","大王","小王")print(r.smembers("myset1"))#myset1所有元素
print(r.smembers("myset2"))#myset2所有元素print("随机删除:",r.spop("myset1"))
print("指定删除",r.srem("myset2","小王"))print(r.smembers("myset1"))#myset1所有元素
print(r.smembers("myset2"))#myset2所有元素

 

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