"b"
内部编码
ziplist（压缩列表）：小于3.2版本，当元素个数小于list-max-ziplist-entries配置（默认512个），同时每个元素的值长度都小于list-max-ziplist-value配置（默认64字节）
linkedlist（链表）：小于3.2版本，不满足ziplist的条件
quicklist：Redis 3.2版本，以一个ziplist为节点的linkedlist
object
encoding letter
"quicklist"
hash (哈希)
hash是一个string类型的field和value的映射表。 它适合用于存储对象，它是无序的，不能使用索引操作。
哈希
hash命令
设置
hset key field value
hset user
:
1
name zhangSan
(
integer
)
1
hset user
:
1
age
18
(
integer
)
1
获取和获取所有的field-value
hget key field
hgetall key
hget user
:
1
name
"zhangSan"
hgetall user
:
1
1
)
"name"
2
)
"zhangSan"
3
)
"age"
4
)
"18"
删除
hdel key field [field ...]
hdel user
:
1
age
(
integer
)
1
hdel user
:
2
age
(
integer
)
0
长度
hlen key
hlen user
:
1
(
integer
)
1
批量设置
hmset key field value [field value ...]
hmset user
:
2
name liSi age
23
OK
hmget user
:
2
name age
1
)
"liSi"
2
)
"23"
hlen user
:
1
(
integer
)
1
hlen user
:
2
(
integer
)
2
是否存在
hexists key field
hexists user
:
2
name
(
integer
)
1
hexists user
:
2
city
(
integer
)
0
所有的field和所有的value
hkeys key
hvals key
hkeys user
:
1
1
)
"name"
hkeys user
:
2
1
)
"name"
2
)
"age"
hvals user
:
1
1
)
"zhangSan"
hvals user
:
2
1
)
"liSi"
内部编码
ziplist（压缩列表）：当元素个数小于hash-max-ziplist-entries配置（默认512个）和每个元素大小小于hash-max-ziplist-value配置（默认64字节）时
hashtable（哈希表）：不满足ziplist条件时
object
encoding user
:
1
"ziplist"
修改配置文件hash-max-ziplist-entries为5
hmset test t1 v1 t2 v2 t3 v3 t4 v4 t5 v5 t6 v6
OK
object
encoding test
"hashtable"
set（集合）
用来保存多个字符串元素，无序的，不能有重复元素，不能使用索引下标获取元素。一个集合可以存储2^32-1个元素。
集合
set命令
增加
add key member [member ...]
sadd user
:
1
:
tag it music news
(
integer
)
3
sadd user
:
1
:
tag bike news
(
integer
)
1
删除
srem key member [member ...]
srem user
:
1
:
tag bike
(
integer
)
1
个数
scard key
scard user
:
1
:
tag
(
integer
)
3
是否存在
sismember key member
sismember user
:
1
:
tag bike
(
integer
)
0
sismember user
:
1
:
tag it
(
integer
)
1
随机返回指定个数
srandmember key [count]
srandmember user
:
1
:
tag
"news"
srandmember user
:
1
:
tag
3
1
)
"news"
2
)
"music"
3
)
"it"
随机弹出
spop key [count]
spop user
:
1
:
tag
"news"
srandmember user
:
1
:
tag
3
1
)
"music"
2
)
"it"
所有个数
smembers key
smembers user
:
1
:
tag
1
)
"music"
2
)
"it"
交集
sinter key [key ...]
sinter user
:
1
:
tag user
:
2
:
tag
1
)
"music"
2
)
"it"
并集
sunion key [key ...]
sunion user
:
1
:
tag user
:
2
:
tag
1
)
"music"
2
)
"java"
3
)
"run"
4
)
"it"
差集
sdiff key [key ...]
sdiff user
:
1
:
tag user
:
2
:
tag
(
empty list
or
set
)
sadd user
:
1
:
tag sleep
(
integer
)
1
sdiff user
:
1
:
tag user
:
2
:
tag
1
)
"sleep"
sdiff user
:
2
:
tag user
:
1
:
tag
1
)
"java"
2
)
"run"
内部编码
intset（整数集合）：元素都是整数和元素个数小于set-max-intset-entries配置（默认512个）时
hashtable（哈希表）：不满足intset时
object
encoding user
:
1
:
tag
"hashtable"
sadd numbers
1
2
3
4
5
(
integer
)
5
object
encoding numbers
"intset"
zset（有序集合）
zset保证了元素不能重复，每个元素都有一个分数（score）作为排序的依据。
有序集合
zset命令
添加
zadd key [NX|XX] [CH] [INCR] score member [score member ...]
zadd books
8.2
"Redis in Action"
(
integer
)
1
zadd books
9.3
"Effective Java: Second Edition : Java"
(
integer
)
1
zadd books
9.1
"Think in Java"
(
integer
)
1
zadd books
9.3
"Python Cookbook"
9.0
"Effective Python"
(
integer
)
2
个数
zcard key
zcard books
(
integer
)
5
升序返回范围的成员
zrange key start stop [WITHSCORES]
zrange books
0
1
1
)
"Redis in Action"
2
)
"Effective Python"
3
)
"Think in Java"
4
)
"Effective Java: Second Edition : Java"
5
)
"Python Cookbook"
zrange books
2
5
1
)
"Think in Java"
2
)
"Effective Java: Second Edition : Java"
3
)
"Python Cookbook"
升序返回成员时带上分数
zrange books
0
1
withscores
1
)
"Redis in Action"
2
)
"8.1999999999999993"
3
)
"Effective Python"
4
)
"9"
5
)
"Think in Java"
6
)
"9.0999999999999996"
7
)
"Effective Java: Second Edition : Java"
8
)
"9.3000000000000007"
9
)
"Python Cookbook"
10
)
"9.3000000000000007"
zrange books
2
5
withscores
1
)
"Think in Java"
2
)
"9.0999999999999996"
3
)
"Effective Java: Second Edition : Java"
4
)
"9.3000000000000007"
5
)
"Python Cookbook"
6
)
"9.3000000000000007"
精度问题：内部 score 使用 double 类型进行存储，所以存在小数点精度问题
withscores:带上分数
降序
zrevrange key start stop [WITHSCORES]
zrevrange books
0
1
withscores
1
)
"Python Cookbook"
2
)
"9.3000000000000007"
3
)
"Effective Java: Second Edition : Java"
4
)
"9.3000000000000007"
5
)
"Think in Java"
6
)
"9.0999999999999996"
7
)
"Effective Python"
8
)
"9"
9
)
"Redis in Action"
10
)
"8.1999999999999993"
指定value的score
zscore key member
zscore books
"Think in Java"
"9.0999999999999996"
根据score的数值区间升序
zrangebyscore key min max [WITHSCORES] [LIMIT offset count]
zrangebyscore books
0
9.1
withscores
1
)
"Redis in Action"
2
)
"8.1999999999999993"
3
)
"Effective Python"
4
)
"9"
5
)
"Think in Java"
6
)
"9.0999999999999996"
根据score的数值区间降序
zrevrangebyscore key max min [WITHSCORES] [LIMIT offset count]
zrevrangebyscore books
9.1
0
withscores
1
)
"Think in Java"
2
)
"9.0999999999999996"
3
)
"Effective Python"
4
)
"9"
5
)
"Redis in Action"
6
)
"8.1999999999999993"
根据score的数值降序输出所有元素
zrevrangebyscore books
inf
inf withscores
1
)
"Python Cookbook"
2
)
"9.3000000000000007"
3
)
"Effective Java: Second Edition : Java"
4
)
"9.3000000000000007"
5
)
"Think in Java"
6
)
"9.0999999999999996"
7
)
"Effective Python"
8
)
"9"
9
)
"Redis in Action"
10
)
"8.1999999999999993"
+inf 正无穷
-inf 负无穷
删除
zrem key member [member ...]
zrem books
"Effective Java: Second Edition : Java"
(
integer
)
1
增加分数
zincrby key increment member
zincrby books
2
"Redis in Action"
"10.199999999999999"
zincrby books
1
"Redis in Action"
"9.1999999999999993"
交集
zinterstore destination numkeys key [key ...] [WEIGHTS weight] [AGGREGATE
zadd textbooks
8
"chinese"
9
"english"
9.5
"mathematics"
(
integer
)
3
zadd textbooks
9.2
"Think in Java"
(
integer
)
1
zrange books
0
1
1
)
"Redis in Action"
2
)
"Effective Python"
3
)
"Think in Java"
4
)
"Python Cookbook"
zrange textbooks
0
1
1
)
"chinese"
2
)
"english"
3
)
"Think in Java"
4
)
"mathematics"
zinterstore newbooks
2
books textbooks
(
integer
)
1
zrange newbooks
0
1
1
)
"Think in Java"
并集
zunionstore destination numkeys key [key ...] [WEIGHTS weight] [AGGREGATE
zunionstore newUnionbooks
2
books textbooks
(
integer
)
7
zrange newUnionbooks
0
1
1
)
"chinese"
2
)
"Redis in Action"
3
)
"Effective Python"
4
)
"english"
5
)
"Python Cookbook"
6
)
"mathematics"
7
)