CentOS Redis数据类型

Shun

Redis数据类型
通用操作
## 判断key是否存在
127.0.0.1:6379> EXISTS name
(integer) 1
127.0.0.1:6379> EXISTS name1
(integer) 0
## 修改key名字
127.0.0.1:6379> RENAME name name1
OK
## 查看指定key的数据类型
127.0.0.1:6379> TYPE name1
string
## 删除key
127.0.0.1:6379> del name1
(integer) 1
## 查看一个key的生存时间
127.0.0.1:6379[15]> ttl age
(integer) -1
## 以秒为单位设置生存时间
127.0.0.1:6379[15]> ttl age
(integer) 95
## 以毫秒为单位设置生存时间
127.0.0.1:6379[15]> PEXPIRE age 4000
## 取消生存时间
127.0.0.1:6379[15]> PERSIST age
字符串类型操作（strings）
增
## 设置key
127.0.0.1:6379> set name www
## 设置多个key
127.0.0.1:6379> MSET name www name1 wsh name2 qwe
##  查看多个key值
127.0.0.1:6379> MGET name name1 name2
1) "www"
2) "wsh"
3) "qwe"
## 先获取一个key的值，再设置或者修改key值
127.0.0.1:6379> getset xxx 123
(nil)
127.0.0.1:6379> get xxx
"123"
## 设置key同时设置生存时间(秒为单位)
127.0.0.1:6379> set book hongloumeng ex 100
OK
## 设置key同时设置生存时间(毫秒为单位)
127.0.0.1:6379> set book hongloumeng px 100
OK
## 字符串自增
127.0.0.1:6379> incr zan
(integer) 1
## 指定增加数量
127.0.0.1:6379> incrby fans 10000
(integer) 10023
## 自减
127.0.0.1:6379> decr fans
(integer) 10012
## 执行自减数量
127.0.0.1:6379> decrby fans 1000
(integer) 9012
## 按照小数自增
127.0.0.1:6379> incrbyfloat zls 0.1
"1.4"
删
127.0.0.1:6379> del rty
(integer) 1
1.
2.
改
## 字符串追加
127.0.0.1:6379> APPEND name hhh
(integer) 6
127.0.0.1:6379> get name
"wwwhhh"
## 修改第N个字符
127.0.0.1:6379> SETRANGE name 5 L
127.0.0.1:6379> get name
"wwwhhL"
查
## 查看一个key
127.0.0.1:6379> get name1
"wsh"
## 查看多个key
127.0.0.1:6379> MGET name name1 name2
1) "wwwhhL"
2) "wsh"
3) "qwe"
## 查看字符串的长度
127.0.0.1:6379> STRLEN name
(integer) 6
127.0.0.1:6379> STRLEN name1
(integer) 3
## 查看生存时间
127.0.0.1:6379> ttl name1   // 秒
(integer) 93
127.0.0.1:6379> pttl name1  // 毫秒
(integer) 91417
# 字符串截取
127.0.0.1:6379> GETRANGE name 0 3
"wwwh"
hash类型（字典类型）
应用场景：
存储部分变更的数据，如用户信息，商品信息等。
最接近表结构的一种类型。
# 创建key
hset keyname field value
hset student_id_1 name zls
hset student_id_1 name zls age 18 gender m
hmset student_id_1 name zls age 18 gender m
# 查询
hget keyname field
hget student_id_1 name
hgetall keyname
hgetall student_id_1
hmget student_id_1 name age
# 删除
127.0.0.1:6379> hdel student_id_1 age gender
(integer) 2
127.0.0.1:6379> hgetall student_id_1
127.0.0.1:6379> del student_id_1

# 改
127.0.0.1:6379> hset student_id_1 name zls age 18 gender m
(integer) 3
127.0.0.1:6379> hgetall student_id_1
 1) "fans"
 2) "8"
 3) "zan"
 4) "9"
 5) "name"
 6) "zls"
 7) "age"
 8) "18"
 9) "gender"
10) "m"
list类型（列表类型）

消息队列
在生活中，其实有很多的例子，都类似消息队列。
比如：工厂生产出来的面包，交给超市，商场来出售，客户通过超市，商场来买面包，客户不会针对某一个工厂去选择，只管从超市买出来，工厂也不会管是哪一个客户买了面包，只管生产出来之后，交给超市，商场来处理。
消息队列（Message Queue）是一种应用间的通信方式，消息发送后可以立即返回，有消息系统来确保信息的可靠专递，消息生产者只管把消息发布到MQ中而不管谁来取，消息消费者只管从MQ中取消息而不管谁发布的，这样发布者和使用者都不用知道对方的存在。
生产者 -> 消息队列 -> 消费者 kafka
为什么使用消息队列
首先，我们可以知道，消息队列是一种异步的工作机制，比如说日志收集系统，为了避免数据在传输过程中丢失，还有订单系统，下单后，会生成对应的单据，库存的扣减，消费信息的发送，一个下单，产生这么多的消息，都是通过一个操作的触发，然后将其他的消息放入消息队列中，依次产生。再就是很多网站的，秒杀活动之类的，前多少名用户会便宜，都是通过消息队列来实现的。
这些例子，都是通过消息队列，来实现，业务的解耦，最终数据的一致性，广播，错峰流控等等，从而完成业务的逻辑。
消息队列的产品
RabbitMQ（最早金融公司，OpenStack）
ZeroMQ（SaltStack）
RocketMQ
Kafka（Java）
Redis（消息队列）
kafka
在kafka中可以创建topic会话
topic会话组，可以重复消费，消费者取数据根据topic的偏移量来取

公司的OA系统使用Jira
公司的文档系统使用 confluence

127.0.0.1:6379> lpush access_log '10.0.0.1 - - [03/Sep/2022:03:38:41 +0800] "POST /index.php HTTP/1.1" 200 1500 "-" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/104.0.0.0 Safari/537.36" "-"'
127.0.0.1:6379> lpush access_log '10.0.0.1 - - [03/Sep/2022:03:54:09 +0800] "POST /index.php HTTP/1.1" 200 1500 "-" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/104.0.0.0 Safari/537.36" "-"'
# 将数据添加在可以的最右边
127.0.0.1:6379> rpush name1 hl
(integer) 1
127.0.0.1:6379> rpush name1 wyk
(integer) 2
127.0.0.1:6379> rpush name1 zls
(integer) 3
# 如果数据不存在则不创建
lpushx name2 hl
# 将数据插入到key的任意位置
127.0.0.1:6379> linsert name2 after hl hjx
after：在...之后
before：在...之前
# 查看key中的指定范围数据
127.0.0.1:6379> lrange name 0 2
(empty array)
127.0.0.1:6379> lrange name1 0 2
1) "hl"
2) "wyk"
3) "zls"
# 从key的最左边取出数据
127.0.0.1:6379> lpop name1
"hl"
127.0.0.1:6379> lpop name1
"wyk"
127.0.0.1:6379> lpop name1
"zls"
# 查看key的长度
127.0.0.1:6379> llen name1
lpush：左边写入
rpush：右边写入
lpop：左边取出
rpop：右边取出

# 将name1右边的数据取出，写入name2左边
127.0.0.1:6379> lrange name1 0 2
1) "wyk"
2) "hjx"
3) "xwq"
127.0.0.1:6379> lrange name2 0 2
1) "hl"
2) "hjx"
3) "zls"
127.0.0.1:6379> rpoplpush name1 name2
"xwq"
127.0.0.1:6379> lrange name2 0 2
1) "xwq"
2) "hl"
3) "hjx"
127.0.0.1:6379> lrange name2 0 3
1) "xwq"
2) "hl"
3) "hjx"
4) "zls"

## 删除
# 从左边开始删除指定个数元素 lrem
127.0.0.1:6379> lrange name2 0 100
 1) "hl"
 2) "hl"
 3) "hl"
 4) "hl"
 5) "hl"
 6) "hl"
 7) "xwq"
 8) "hl"
 9) "hjx"
10) "zls"
11) "hl"
12) "hl"
13) "hl"
14) "hl"
127.0.0.1:6379> lrem name2 7 hl
(integer) 7
127.0.0.1:6379> lrange name2 0 100
1) "xwq"
2) "hjx"
3) "zls"
4) "hl"
5) "hl"
6) "hl"
7) "hl"
# 保留指定下标的元素，其余的都删除
127.0.0.1:6379> lrange name2 0 100
1) "xwq"
2) "hjx"
3) "zls"
4) "hl"
5) "hl"
6) "hl"
7) "hl"
127.0.0.1:6379> ltrim name2 0 1
OK
127.0.0.1:6379> lrange name2 0 100
1) "xwq"
2) "hjx"
## 改
127.0.0.1:6379> lrange name1 0 100
1) "wyk"
2) "hjx"
127.0.0.1:6379> lset name1 0 xwq
OK
127.0.0.1:6379> lrange name1 0 100
1) "xwq"
2) "hjx"
## 查
# 按照索引查询
127.0.0.1:6379> lindex name1 1
"hjx"
127.0.0.1:6379> lindex name1 0
"xwq"
127.0.0.1:6379> lindex name1 2
(nil)
127.0.0.1:6379> lindex name1 -1   //最后一个元素
"hjx"
## 发朋友圈
127.0.0.1:6379> lpush wechat 'monday hl sb'
(integer) 1
127.0.0.1:6379> lpush wechat 'tiusiday hl yiran sb'
(integer) 2
127.0.0.1:6379> lpush wechat 'wensiday hl always sb'
(integer) 3
## 查看朋友圈
127.0.0.1:6379> lrange wechat 0 -1
1) "wensiday hl always sb"
2) "tiusiday hl yiran sb"
3) "monday hl sb"
set（集合类型）
组1：1 2 3 4 5
组2: 1 3 5 7 9
交集：1 3 5
并集：1 2 3 4 5 7 9
差集：2 4 7 9
# 创建集合
127.0.0.1:6379> sadd zls_fans wyk hl
(integer) 2
127.0.0.1:6379> sadd tly_fans mls gaofei wyk
(integer) 3
# 查
## 查询集合中的元素，有就返回1 没有就返回0
127.0.0.1:6379> sismember zls_fans hl
(integer) 1
127.0.0.1:6379> sismember zls_fans cls
(integer) 0
## 查询集合中的所有元素
127.0.0.1:6379> SMEMBERS zls_fans
1) "hl"
2) "wyk"
## 查询集合中元素数量
127.0.0.1:6379> scard zls_fans
(integer) 2
127.0.0.1:6379> scard tly_fans
(integer) 3

## 比较集合中的差异，取前面集合的不同之处
127.0.0.1:6379> sdiff hl_fans tly_fans zls_fans
1) "xiaoxuesheng"
127.0.0.1:6379> SMEMBERS hl_fans
1) "hl"
2) "mls"
3) "xiaoxuesheng"
127.0.0.1:6379> SMEMBERS tly_fans
1) "wyk"
2) "mls"
3) "gaofei"
127.0.0.1:6379> SMEMBERS zls_fans
1) "hl"
2) "wyk"
127.0.0.1:6379> sdiff hl_fans tly_fans
1) "hl"
2) "xiaoxuesheng"
127.0.0.1:6379> sdiff tly_fans hl_fans 
1) "wyk"
2) "gaofei"
127.0.0.1:6379> sdiff tly_fans hl_fans zls_fans
1) "gaofei"

## 比较之后的差异，存放到新的集合中
127.0.0.1:6379> sdiffstore resault tly_fans hl_fans 
(integer) 2
127.0.0.1:6379> KEYS *
1) "hl_fans"
2) "resault"
3) "name2"
4) "tly_fans"
5) "name1"
6) "wechat"
7) "zls_fans"
127.0.0.1:6379> type resault
set
127.0.0.1:6379> scard resault
(integer) 2
127.0.0.1:6379> 
127.0.0.1:6379> SMEMBERS resault
1) "wyk"
2) "gaofei"
## 交集（共同好友）
127.0.0.1:6379> SMEMBERS hl_fans
1) "hl"
2) "mls"
3) "xiaoxuesheng"
127.0.0.1:6379> SMEMBERS zls_fans
1) "hl"
2) "wyk"
127.0.0.1:6379> sinter hl_fans zls_fans
1) "hl"
## 并集
127.0.0.1:6379> sunion hl_fans zls_fans
1) "hl"
2) "wyk"
3) "mls"
4) "xiaoxuesheng"
## 将交集存入新集合
127.0.0.1:6379> sinterstore new_set hl_fans zls_fans
(integer) 1
127.0.0.1:6379> SMEMBERS new_set
1) "hl"
## 将并集存入新集合
127.0.0.1:6379> sunionstore new_set2 hl_fans zls_fans
(integer) 4
127.0.0.1:6379> SMEMBERS new_set2
1) "hl"
2) "wyk"
3) "mls"
4) "xiaoxuesheng"
## 取随机值
127.0.0.1:6379> srandmember zls_fans
"mls"

## 改
## 将集合的元素存入另一个集合 SMOVE
127.0.0.1:6379> SMEMBERS hl_fans
1) "hl"
2) "mls"
3) "xiaoxuesheng"
127.0.0.1:6379> SMEMBERS zls_fans
1) "hl"
2) "wyk"
127.0.0.1:6379> SMOVE hl_fans zls_fans mls
(integer) 1
127.0.0.1:6379> SMEMBERS hl_fans
1) "hl"
2) "xiaoxuesheng"
127.0.0.1:6379> SMEMBERS zls_fans
1) "hl"
2) "wyk"
3) "mls"

## 删
127.0.0.1:6379> spop hl_fans
"hl"
127.0.0.1:6379> SMEMBERS hl_fans
1) "xiaoxuesheng"
## 删除指定元素，返回删除元素的个数
127.0.0.1:6379> srem zls_fans hl
(integer) 1
127.0.0.1:6379> SMEMBERS zls_fans
1) "wyk"
2) "mls"
127.0.0.1:6379> srem zls_fans xxx
(integer) 0

#### 无序的
127.0.0.1:6379> sadd zls_fans 111 222 333 444 555 666
(integer) 6
127.0.0.1:6379> SMEMBERS zls_fans
 1) "abc"
 2) "111"
 3) "mls"
 4) "123"
 5) "def"
 6) "333"
 7) "222"
 8) "456"
 9) "444"
10) "555"
11) "666"
12) "wyk"
sorted-set（有序集合）
应用场景：
排行榜应用，取TOP N操作
这个需求与上面需求的不同之处在于，前面操作以时间为权重，这个是以某个条件为权重，比如按顶的次数排序，这时候就需要我们的sorted set出马了，将你要排序的值设置成sorted set的score，将具体的数据设置成相应的value，每次只需要执行一条ZADD命令即可。
复制 
# 增
127.0.0.1:6379> zadd myzset 1 "one" 2 "two" 3 "three"
# 查
## 只查询成员
127.0.0.1:6379> zrange chengji 0 -1
1) "wyk"
2) "hl"
3) "zls"
## 查询成员和分数
127.0.0.1:6379> zrange chengji 0 -1 WITHSCORES
1) "wyk"
2) "1"
3) "hl"
4) "38"
5) "zls"
6) "100"
## 查询成员的索引
127.0.0.1:6379> zrank chengji wyk
(integer) 0
127.0.0.1:6379> zrank chengji zls
(integer) 2

## 查询成员数量
127.0.0.1:6379> zcard chengji 
(integer) 3
## 查看分数是指定范围的成员个数  30  zcount chengji 30 101
(integer) 2
## 获取指定成员分数
127.0.0.1:6379> ZSCORE chengji wyk
"1"
127.0.0.1:6379> ZSCORE chengji zls
"100"
## 查看分数是指定范围的成员名
127.0.0.1:6379> zcount chengji 30 40
(integer) 1
127.0.0.1:6379> zrangebyscore chengji 30 40
1) "hl"
## +inf表示最后一个成员，-inf表示第一个成员，意思是：检索所有数据，然后从下标为2的数据开始再往后输出3：(N-1)个数据
127.0.0.1:6379> zrangebyscore chengji -inf +inf  limit 2 3
1) "hjx"
2) "xwq"
3) "zls"
127.0.0.1:6379> zrangebyscore chengji -inf +inf  limit 2 2
1) "hjx"
2) "xwq"
127.0.0.1:6379> zrangebyscore chengji -inf +inf  limit 2 1
1) "hjx"
127.0.0.1:6379> zrangebyscore chengji -inf +inf  limit 2 4
1) "hjx"
2) "xwq"
3) "zls"
# 删
## 删除指定分数范围的成员，并返回删除的个数
127.0.0.1:6379> zrangebyscore chengji 30 40
1) "hl"
127.0.0.1:6379> zremrangebyscore chengji 30 40
(integer) 1
## 按指定索引范围删除，返回删除个数
127.0.0.1:6379> zremrangebyrank chengji 0 2
(integer) 3

## 倒序排名
127.0.0.1:6379> zrevrange chengji 0 -1 WITHSCORES
 1) "zls"
 2) "100"
 3) "hjx"
 4) "60"
 5) "xwq"
 6) "50"
 7) "hl"
 8) "38"
 9) "wyk"
10) "1"
## 按照分数段查找成员，并倒序排序
127.0.0.1:6379> zrevrangebyscore chengji 101 30 WITHSCORES
1) "zls"
2) "100"
3) "hjx"
4) "60"
5) "xwq"
6) "50"
7) "hl"
8) "38"
## 按照分数查找成员，并倒序排序，然后按照索引号，取出指定的数据
127.0.0.1:6379> zrevrangebyscore chengji 101 30 WITHSCORES limit 1 2
1) "hjx"
2) "60"
3) "xwq"
4) "50"
127.0.0.1:6379> zrevrangebyscore chengji 101 30 WITHSCORES limit 1 3
1) "hjx"
2) "60"
3) "xwq"
4) "50"
5) "hl"
6) "38"

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