Scores | 2.0 | 4.0 | 6.0 | 8.0 |
element | watermelon | grape | Mango | banana |
Scores | 6000 | 8000 | 10000 | 12000 |
element | lucy | tom | jim | jack |
Scores | 300 | 400 | 500 | 600 |
element | Core programming | database | django | repeat |
# Add a member in an ordered set Zadd Key Score Member # View the specified range of elements (in ascending order) Z Range The Key Start STOP [withscores] # View the specified range of elements (in descending order) ZREVRANGE Key Start STOP [withscores] # view the scores of the specified element Key member ZSCORE # returns the specified range of elements # offset: the number of elements skipped # COUNT: returns the number # parentheses: Fruits open interval zrangebyscore (2.0 8.0 zrangebyscore Key min max [withscores] [limit offset COUNT] # remove members zrem key member # increase or decrease the value zincrby key increment member value members # returns the element ranking Member Key zrank # Returns the element reverse ranking zrevrank Member Key # delete elements in the specified range zremrangebyscore min max Key # returns the number of elements in the set zcard Key # Returns the number of elements in the specified range zcount Key min max zcount Fruits . 4. 7 zcount Fruits ( . 4. 7. 4 <Fruits <=. 7 # '(' is an open interval does not include (. 4 (. 7. 4 <Fruits <. 7 # and set zunionstore destination numkeys key [weights weight value] [aGGREGATE to the SUM | MIN | MAX] # few sets numkeys is also a few weight value corresponding to several # intersection: union and similar, just take the same elements ZINTERSTORE destination numkeys key1 key2 wEIGHTS weight AGGREGATE SUM | MIN | MAX
Three
127.0.0.1:6379> ZRANGE salary 0 -1 1) "lucy" 2) "tom" 3) "jim" 4) "jack" 127.0.0.1:6379> ZRANGE salary 0 -1 withscores 1) "lucy" 2) "6000" 3) "tom" 4) "8000" 5) "jim" 6) "10000" 7) "jack" 8) "12000"
ZREVRANGE key start stop [withscores]
3. Display the score of the specified element
ZSCORE key member
127.0.0.1:6379> zscore salary jack "14000"
zrangebyscore key min max [withscores] [limit offset count]
offset: Skip the number of elements
count: return several
Parentheses: open interval zrangebyscore fruits (2.0 8.0
127.0.0.1:6379> ZRANGEBYSCORE salary (8000 12000 1) "jim" 2) "jack" 127.0.0.1:6379> ZRANGE salary 0 -1 withscores 1) "lucy" 2) "6000" 3) "tom" 4) "8000" 5) "jim" 6) "10000" 7) "jack" 8) "12000"
5. Delete
zrem key member
127.0.0.1:6379> ZREM salary jim (integer) 1 127.0.0.1:6379> ZRANGE salary 0 -1 withscores 1) "lucy" 2) "6000" 3) "tom" 4) "8000" 5) "jack" 6) "12000"
6. increased or decreased value
zincrby key increment member
127.0.0.1:6379> ZINCRBY salary 2000 jack "14000" 127.0.0.1:6379> ZRANGE salary 0 -1 withscores 1) "lucy" 2) "6000" 3) "tom" 4) "8000" 5) "jack" 6) "14000"
7. Return Ranking (index) elements
zrank key member
127.0.0.1:6379> zrank salary jack
(integer) 2
8. Return the element reverse ranking
zrevrank key member
127.0.0.1:6379> ZREVRANK salary jack (integer) 0 127.0.0.1:6379> ZREVRANK salary lucy (integer) 2
9. Remove the elements within the specified range
zremrangebyscore key min max
127.0.0.1:6379> ZREMRANGEBYSCORE salary 4000 6000 (integer) 1 127.0.0.1:6379> ZRANGE salary 0 -1 withscores 1) "tom" 2) "8000" 3) "jack" 4) "14000"
10. Return the number of elements in a set of
zcard key
127.0.0.1:6379> ZCARD salary
(integer) 2
11. Return the number of elements in the specified range
zcount fruits 4 7
zcount fruits (4 7
127.0.0.1:6379> ZRANGE salary 0 -1 withscores 1) "tom" 2) "8000" 3) "jack" 4) "14000" 127.0.0.1:6379> zcount salary 8000 14000 (integer) 2 # 不包含8000,包含14000 127.0.0.1:6379> zcount salary (8000 14000 (integer) 1
12. union
zunionstore destination numkeys key [weights ] [AGGREGATE SUM|MIN|MAX]
127.0.0.1:6379> zadd stu_score1 60 tom 70 jim (integer) 2 127.0.0.1:6379> zadd stu_score2 80 tom 90 lucy (integer) 2 # 默认为SUM 127.0.0.1:6379> ZUNIONSTORE stu_score3 2 stu_score1 stu_score2 (integer) 3 127.0.0.1:6379> ZRANGE stu_score3 0 -1 withscores 1) "jim" 2) "70" 3) "lucy" 4) "90" 5) "tom" 6) "140" 127.0.0.1:6379> # WEIGHTS and AGGREGATE to 127.0.0.1:6379> Z Range The stu_score1 0 -1 withscores . 1) " Tom " 2) " 60 " . 3) " Jim " . 4) " 70 " 127.0.0.1:6379> Z Range The stu_score2 0 -1 withscores . 1) " Tom " 2) " 80 " . 3) " Lucy " . 4) " 90 " # weights 1 to stu_score1, weighting 0.5 to stu_score2, summing the weights calculated after completing the sUM 127.0.0.1:6379>ZUNIONSTORE stu_score8 2 stu_score1 stu_score2 weights 1 0.5 AGGREGATE SUM (integer) 3 127.0.0.1:6379> ZRANGE stu_score8 0 -1 withscores 1) "lucy" 2) "45" 3) "jim" 4) "70" 5) "tom" 6) "100" 127.0.0.1:6379>
12. Intersection
ZINTERSTORE destination numkeys key1 key2 WEIGHTS weight AGGREGATE SUM|MIN|MAX
And the like, and set, taking just like elements
Operating sorted set python
Import Redis R & lt = redis.Redis (= Host ' 192.168.43.49 ' , Port = 6379, password = ' 123456 ' , DB = 0) # Note that the second parameter is a dictionary r.zadd ( ' the salary ' , { ' Tom ' : 6000, ' Jim ' : 8000, ' Jack ' : 12000 }) # result is stored in the list of tuples [(), (), ()] Print (r.zrange ( ' the salary ' , 0, -1, withscores = True)) Print (r.zrevrange ( ' the salary ', 0, -1, withscores = True)) # Start: start value, num: number display bar Print (r.zrangebyscore ( ' the salary ' , 6000,12000, Start =. 1, NUM = 2, withscores = True)) # delete r.zrem ( ' the salary ' , ' Tom ' ) Print (r.zrange ( ' the salary ' , 0, -1, withscores = True)) # increasing value r.zincrby ( ' the salary ' , 5000, ' Jack ' ) Print (r.zrange ( ' the salary ', 0, -1, withscores = True)) # Returns the element Ranking Print (r.zrank ( ' the salary ' , ' Jack ' )) Print (r.zrevrank ( ' the salary ' , ' Jack ' )) # delete a specified interval element r.zremrangebyscore ( ' the salary ' , 6000,8000 ) Print (r.zrange ( ' the salary ' , 0, -1, withscores = True)) # statistical number of elements Print (r.zcard ( ' the salary ' )) #Returns the number of elements in the specified range Print (r.zcount ( ' the salary ' , 6000,20000 )) # union r.zadd ( ' salary2 ' , { ' Jack ' : 17000, ' Lucy ' : 8000 }) r.zunionstore ( ' salary3 ' , ( ' the salary ' , ' salary2 ' ), Aggregate = ' max ' ) Print (r.zrange ( ' salary3 ' , 0, -1, withscores = True)) # 交集 r.zinterstore('salary4',('salary','salary2'),aggregate='max') print(r.zrange('salary4',0,-1,withscores=True))