SQL 十分位

 1 -- 十分位，这个算法不是很准确
 2 select 
 3      family_agreement_cnt -- 字段
 4     ,dt                   -- 分区
 5     ,rn                   -- 排序
 6     ,cnt                  -- 总行数
 7     ,percent2             -- 分位值
 8     ,rk
 9     ,row_num
10 from (
11     select
12          t1.family_agreement_cnt                   -- 字段
13         ,t1.dt                                     -- 分区
14         ,t1.rn                                     -- 排序
15         ,t1.cnt                                    -- 总行数
16         ,ceil(t1.rn / t1.cnt * 100)                                                  as percent2 -- 分位值
17         ,row_number() over(partition by ceil(t1.rn / t1.cnt * 100) order by rn desc) as rk
18         ,row_number() over(order by rn)                                              as row_num
19     from (
20         select
21              family_agreement_cnt
22             ,dt
23             ,row_number() over(partition by dt order by cast(family_agreement_cnt as double)) as rn
24             ,count(1)     over(partition by dt)                                     as cnt
25         from edw_dw_safe.out_elis_ai_high_quality_kpi_collection
26         where dt=‘20180201‘
27     ) t1
28     where t1.rn = 1 or t1.rn % cast(t1.cnt/10 as int) = 0 or t1.rn = t1.cnt
29     order by t1.dt,t1.rn
30 ) t2
31 where t2.rk = 1
32 ;
33 
34 
35 -- 方差
36 select 
37     stddev(num) as std
38 from (
39     select 1  as num union all
40     select 2  as num union all
41     select 3  as num union all
42     select 4  as num union all
43     select 5  as num union all
44     select 6  as num union all
45     select 7  as num union all
46     select 8  as num union all
47     select 9  as num union all
48     select 10 as num union all
49     select 11 as num union all
50     select 12 as num union all
51     select 13 as num union all
52     select 14 as num union all
53     select 15 as num union all
54     select 16 as num 
55 ) t1
56 ;