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主要有两个用途:高性能,高并发
高性能
直接将数据库的数据查询出来放在缓存中,以后直接读缓存就好
高并发
Mysql单机一般支撑到2000QPS,高峰期一秒钟过来大量请求,数据库就挂了
为什么要使用缓存
string: 如:限流,计数器,分布式锁,分布式Session
hash: 如:用户访问量统计,评论数,浏览数,电商购物车(hset cart:用户Id 商品Id 数量)
list: 如:用户最新消息列表(用户的消息流)(可以获取范围数据(lrange msg:用户Id 0 5))(lpush+lpop实现栈,lpush+rpop实现队列,lpush+rbpop实现阻塞队列)
set: 如:标签,收藏,点赞,计算交集,并集等
sorted set(zset): 如:排行榜(基于分值进行排序)
key怎么存内容的: 一般在系统中通过加业务前缀储存相关内容
redis都有哪些数据类型
keys *->列出key的列表
type key->查看key的类型
set key value->设置key1
get key->获取key
del key->删除key
exists key->检查是否key存在
expire key 10->制定key10秒过期
persist key->删除过期Key
setnx key value->设置原子的key(多线程下用)
redis线程模型-协作
redis线程模型-视频
I/O多路复用程序:
I/O多路复用程序负责监听多个套接字,并向文件事件分派器传送产生了事件的套接字
I/O多路复用程序在传送套接字给事件分派器时,先将套接字存放到队列里面进行同步排队
文件事件分派器: 接受I/O多路复用程序传来的套接字,并根据套接字产生事件的类型,分派事件处理器进行处理
Redis的事件有: 文件事件(AE_READABLE和AE_WRITABLE),时间事件(定时事件,周期性事件)
IO多路复用为非阻塞模式,文件事件处理器为纯内存操作
为啥redis单线程模型也能效率这么高
IO多路复用为什么效率高:
多路:指网络连接有多个
复用:指复用一个线程
利用内核(epoll)监控多个I/O事件,在空闲的时候,会把当前线程阻塞掉
当有一个或多个流有I/O事件时,线程被通知并唤醒,然后epoll遍历一遍有事件发起的流,并依次顺序处理,由于是在有IO事件时才处理,这样大大避免了无用操作
Redis的性能瓶颈是内存和网络,非CPU,而内存可以增加解决,但是网络却需要减少网络延时(节点处理时延,排队时延,传输时延,传播时延),增加带宽以及加快网络IO处理速度,
当引入多线程后可以增加网络IO处理速度
Redis用多线程主要是加快网络IO处理速度,而执行命令还是用的单线程
定期删除 + 惰性删除
定期删除: 指Redis(默认每隔100ms)每隔指定时间就随机抽取一些设置了过期时间的key来检查是否过期,若过期了就删除
定期删除可能会导致很多过期key到了时间并没有被删除掉->这时需要惰性删除
惰性删除: 在从Redis中获取某个key时,redis检查这个key如果设置了过期时间且过期了就删除,但若没有访问这个key能,Redis的过期key就可能堆积->这时走内存淘汰机制
淘汰策略 | 含义 |
---|---|
noeviction | 无法继续写入(默认淘汰策略),就是内存满了不删除key |
allkeys-lru | 所有key中,最近最少访问的被淘汰 |
allkeys-lfu | 所有key中,最近访问频率最少的被淘汰 |
allkeys-random | 所有key中,随机选择淘汰 |
volatile-ttl | 有超时时间的,越早到期的被淘汰 |
volatile-lru | 有超时时间的,最近最少访问的被淘汰 |
volatile-lfu | 有超时时间的,最近访问频率最少的被淘汰 |
volatile-random | 有超时时间的,随机选择淘汰 |
注意: 哨兵和Cluster是一样的,Cluster沿用的哨兵的高可用模式
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