|
解释：移除有续集中指定排名范围【start stop】的元素，返回移除元素个数
[plain] view plaincopyprint?
01.redis 127.0.0.1:6379> zrange score 0 -1
02.1) "zhangsan"
03.2) "lisi"
04.3) "wangwu"
05.4) "liuli"
06.redis 127.0.0.1:6379> zremrangebyrank score 0 1
07.(integer) 2
08.redis 127.0.0.1:6379> zrange score 0 -1
09.1) "wangwu"
10.2) "liuli"
redis 127.0.0.1:6379> zrange score 0 -1
1) "zhangsan"
2) "lisi"
3) "wangwu"
4) "liuli"
redis 127.0.0.1:6379> zremrangebyrank score 0 1
(integer) 2
redis 127.0.0.1:6379> zrange score 0 -1
1) "wangwu"
2) "liuli"
注意：如果stop在start之前，则移除0个
c）zremrangebyscore
语法：zremrangebyscore key min max
解释：移除有续集中的member，移除member的score大于等于min小于等于max；返回移除元素个数
[plain] view plaincopyprint?
01.redis 127.0.0.1:6379> zrange score 0 -1 withscores
02.1) "wangwu"
03.2) "249"
04.3) "liuli"
05.4) "400"
06.redis 127.0.0.1:6379> zremrangebyscore score 248 250
07.(integer) 1
08.redis 127.0.0.1:6379> zrange score 0 -1 withscores
09.1) "liuli"
10.2) "400"
redis 127.0.0.1:6379> zrange score 0 -1 withscores
1) "wangwu"
2) "249"
3) "liuli"
4) "400"
redis 127.0.0.1:6379> zremrangebyscore score 248 250
(integer) 1
redis 127.0.0.1:6379> zrange score 0 -1 withscores
1) "liuli"
2) "400"
5）其他
a）zinterstore
语法：zinterstore destination numkeys key[key...] [weights weight] [aggregate sum|min|max]
解释：统计多个有续集的交集，其中有续集key的个数必须以numkeys参数指定，并将统计结果存储到destination。默认情况下，destination中元素的score是各个有续集key中元素的score之和。使用weights为每个有续集指定个乘法因子，每个有续集的score在传递给集合函数（aggregate）之前，先乘以乘法因子。如果没指定乘法因子weight，默认是1；使用aggregate选项指定交集的聚合方式。min，最小score，max，最大score，sum，求和。
[plain] view plaincopyprint?
01.redis 127.0.0.1:6379> zrange score 0 -1 withscores
02.1) "lisi"
03.2) "20"
04.3) "liuli"
05.4) "400"
06.redis 127.0.0.1:6379> zrange score1 0 -1 withscores
07.1) "wangwu"
08.2) "20"
09.3) "liuli"
10.4) "30"
11.redis 127.0.0.1:6379> zinterstore dest 2 score score1 #交集求和 sum（score.member.score * 1 + score1.member.score * 1）
12.(integer) 1
13.redis 127.0.0.1:6379> zrange dest 0 -1 withscores
14.1) "liuli"
15.2) "430"
16.redis 127.0.0.1:6379> zinterstore dest 2 score score1 weights 1 2 #交集求和，sum（score.member.score * 1 + score1.member.score * 2）
17.(integer) 1
18.redis 127.0.0.1:6379> zrange dest 0 -1 withscores
19.1) "liuli"
20.2) "460"
21.redis 127.0.0.1:6379> zinterstore dest 2 score score1 aggregate min #交集求最小值，min（score.member.score * 1 , score1.member.score * 1）
22.(integer) 1
23.redis 127.0.0.1:6379> zrange dest 0 -1 withscores
24.1) "liuli"
25.2) "30"
26.redis 127.0.0.1:6379> zinterstore dest 2 score score1 aggregate max #交集求最大值 max（score.member.score * 1 , score1.member.score * 1）
27.(integer) 1
28.redis 127.0.0.1:6379> zrange dest 0 -1 withscores
29.1) "liuli"
30.2) "400"
31.redis 127.0.0.1:6379> zinterstore dest 2 score score1 aggregate sum #交集求和，sum（score.member.score * 1 , score1.member.score * 1）
32.(integer) 1
33.redis 127.0.0.1:6379> zrange dest 0 -1 withscores
34.1) "liuli"
35.2) "430"
36.redis 127.0.0.1:6379> zinterstore dest 2 score score1 weights 1 2 aggregate min #交集求最小值 min（score.member.score * 1 , score1.member.score * 2）
37.(integer) 1
38.redis 127.0.0.1:6379> zrange dest 0 -1 withscores
39.1) "liuli"
40.2) "60"
redis 127.0.0.1:6379> zrange score 0 -1 withscores
1) "lisi"
2) "20"
3) "liuli"
4) "400"
redis 127.0.0.1:6379> zrange score1 0 -1 withscores
1) "wangwu"
2) "20"
3) "liuli"
4) "30"
redis 127.0.0.1:6379> zinterstore dest 2 score score1 #交集求和 sum（score.member.score * 1 + score1.member.score * 1）
(integer) 1
redis 127.0.0.1:6379> zrange dest 0 -1 withscores
1) "liuli"
2) "430"
redis 127.0.0.1:6379> zinterstore dest 2 score score1 weights 1 2 #交集求和，sum（score.member.score * 1 + score1.member.score * 2）
(integer) 1
redis 127.0.0.1:6379> zrange dest 0 -1 withscores
1) "liuli"
2) "460"
redis 127.0.0.1:6379> zinterstore dest 2 score score1 aggregate min #交集求最小值，min（score.member.score * 1 , score1.member.score * 1）
(integer) 1
redis 127.0.0.1:6379> zrange dest 0 -1 withscores
1) "liuli"
2) "30"
redis 127.0.0.1:6379> zinterstore dest 2 score score1 aggregate max #交集求最大值 max（score.member.score * 1 , score1.member.score * 1）
(integer) 1
redis 127.0.0.1:6379> zrange dest 0 -1 withscores
1) "liuli"
2) "400"
redis 127.0.0.1:6379> zinterstore dest 2 score score1 aggregate sum #交集求和，sum（score.member.score * 1 , score1.member.score * 1）
(integer) 1
redis 127.0.0.1:6379> zrange dest 0 -1 withscores
1) "liuli"
2) "430"
redis 127.0.0.1:6379> zinterstore dest 2 score score1 weights 1 2 aggregate min #交集求最小值 min（score.member.score * 1 , score1.member.score * 2）
(integer) 1
redis 127.0.0.1:6379> zrange dest 0 -1 withscores
1) "liuli"
2) "60"
b）zunionstore
语法：zunionstore destination numkeys key[key...] [weights weight] [aggregate sum|min|max]
解释：统计多个有续集的并集，其中有续集key的个数必须以numkeys参数指定，并将统计结果存储到destination。。默认情况下，destination中元素的score是各个有续集key中元素的score之和。weights指定乘法因子，aggregate指定聚合方式，详情，请参阅 zinterstore 中介绍
[plain] view plaincopyprint?
01.redis 127.0.0.1:6379> zrange score 0 -1 withscores
02.1) "lisi"
03.2) "20"
04.3) "liuli"
05.4) "400"
06.redis 127.0.0.1:6379> zrange score1 0 -1 withscores
07.1) "wangwu"
08.2) "20"
09.3) "liuli"
10.4) "30"
11.redis 127.0.0.1:6379> zunionstore dest 2 score score1 #交集求和 sum（score.member.score * 1 , score1.member.score * 1）
12.(integer) 3
13.redis 127.0.0.1:6379> zrange dest 0 -1 withscores
14.1) "lisi"
15.2) "20"
16.3) "wangwu"
17.4) "20"
18.5) "liuli"
19.6) "430"
20.redis 127.0.0.1:6379> zunionstore dest 2 score score1 weights 1 2 aggregate sum #交集求和 sum（score.member.score * 1 , score1.member.score * 2）
21.(integer) 3
22.redis 127.0.0.1:6379> zrange dest 0 -1 withscores
23.1) "lisi"
24.2) "20"
25.3) "wangwu"
26.4) "40"
27.5) "liuli"
28.6) "460"
29.redis 127.0.0.1:6379> zunionstore dest 2 score score1 weights 1 2 aggregate max #交集最大值 max（score.member.score * 1 , score1.member.score * 2）
30.(integer) 3
31.redis 127.0.0.1:6379> zrange dest 0 -1 withscores
32.1) "lisi"
33.2) "20"
34.3) "wangwu"
35.4) "40"
36.5) "liuli"
37.6) "400"
38.redis 127.0.0.1:6379> zunionstore dest 2 score score1 weights 2 4 aggregate min #交集最小值 min（score.member.score * 2 , score1.member.score * 4）
39.(integer) 3
40.redis 127.0.0.1:6379> zrange dest 0 -1 withscores
41.1) "lisi"
42.2) "40"
43.3) "wangwu"
44.4) "80"
45.5) "liuli"
46.6) "120"
redis 127.0.0.1:6379> zrange score 0 -1 withscores
1) "lisi"
2) "20"
3) "liuli"
4) "400"
redis 127.0.0.1:6379> zrange score1 0 -1 withscores
1) "wangwu"
2) "20"
3) "liuli"
4) "30"
redis 127.0.0.1:6379> zunionstore dest 2 score score1 #交集求和 sum（score.member.score * 1 , score1.member.score * 1）
(integer) 3
redis 127.0.0.1:6379> zrange dest 0 -1 withscores
1) "lisi"
2) "20"
3) "wangwu"
4) "20"
5) "liuli"
6) "430"
redis 127.0.0.1:6379> zunionstore dest 2 score score1 weights 1 2 aggregate sum #交集求和 sum（score.member.score * 1 , score1.member.score * 2）
(integer) 3
redis 127.0.0.1:6379> zrange dest 0 -1 withscores
1) "lisi"
2) "20"
3) "wangwu"
4) "40"
5) "liuli"
6) "460"
redis 127.0.0.1:6379> zunionstore dest 2 score score1 weights 1 2 aggregate max #交集最大值 max（score.member.score * 1 , score1.member.score * 2）
(integer) 3
redis 127.0.0.1:6379> zrange dest 0 -1 withscores
1) "lisi"
2) "20"
3) "wangwu"
4) "40"
5) "liuli"
6) "400"
redis 127.0.0.1:6379> zunionstore dest 2 score score1 weights 2 4 aggregate min #交集最小值 min（score.member.score * 2 , score1.member.score * 4）
(integer) 3
redis 127.0.0.1:6379> zrange dest 0 -1 withscores
1) "lisi"
2) "40"
3) "wangwu"
4) "80"
5) "liuli"
6) "120"
提醒:sorted set的所有函数，请用下面方式查看
[plain] view plaincopyprint?
01.[root@xsf001 ~]# redis-cli
02.redis 127.0.0.1:6379> help @sorted_set
上一页 [1] [2]
| 