SQL:按日期对列进行排名/分组
SQL: Rank / Group a Column by Date
使用 SQL Server Management Studio v17.9.1
我正在尝试按站点和区域按日期对某些数据进行排名/排序/分组,但我正在努力解决问题,而不是按字母顺序对区域进行排名,而是按它出现的最早日期对其进行排名。
这是我的数据:
Site | Area | Space | Date
DCG X 7 02/02/2020 12:13
DCG X 5 04/02/2020 11:47
DCG X 12 10/02/2020 15:14
GNL U 0 03/03/2020 18:35
GNL A 4 04/03/2020 08:28
GNL C 4 06/03/2020 09:07
GNL B 1 16/03/2020 07:10
DPL U 0 18/03/2020 09:28
DPL A 1 18/03/2020 09:36
DPL A 1 20/03/2020 20:04
SGR F 2 21/03/2020 19:42
SGR B 2 22/03/2020 10:30
SGR C 3 24/03/2020 08:17
SGR F 1 01/04/2020 09:00
SGR E 1 02/02/2020 10:57
SGR F 1 02/02/2020 15:50
我想添加 2 列,按日期的升序对站点和区域进行排名/分组,如下所示:
Site | Area | Space | Date | Site Order | Area Order |
DCG X 7 02/02/2020 12:13 1 1
DCG X 5 04/02/2020 11:47 1 1
DCG X 12 10/02/2020 15:14 1 1
GNL U 0 03/03/2020 18:35 2 1
GNL A 4 04/03/2020 08:28 2 2
GNL C 4 06/03/2020 09:07 2 3
GNL B 1 16/03/2020 07:10 2 4
DPL U 0 18/03/2020 09:28 3 1
DPL A 1 18/03/2020 09:36 3 2
DPL A 1 20/03/2020 20:04 3 2
SGR F 2 21/03/2020 19:42 4 1
SGR B 2 22/03/2020 10:30 4 2
SGR C 3 24/03/2020 08:17 4 3
SGR F 1 01/04/2020 09:00 4 1
SGR E 1 02/02/2020 10:57 4 4
SGR F 1 02/02/2020 15:50 4 1
抱歉,如果我没有说清楚
您可以将 min()
用作 window 函数来获取每个站点和 site/area 组合的最短日期。然后使用 dense_rank()
:
select t.*,
dense_rank() over (order by min_site_date, site) as site_seqnum,
dense_rank() over (partition by site order by min_site_date) as area_seqnum
from (select t.*,
min(date) over (partition by site) as min_site_date,
min(date) over (partition by site, area) as min_site_area_date
from t
) t
您可以使用window函数:
select t.*,
dense_rank() over (order by site, site_date) as site_sequence,
dense_rank() over (partition by site order by area, site_area_date) as area_sequence
from (select t.*,
min([date]) over (partition by [site]) as site_date,
min([date]) over (partition by [site], area) as site_area_date
from table t
) t;
使用 SQL Server Management Studio v17.9.1
我正在尝试按站点和区域按日期对某些数据进行排名/排序/分组,但我正在努力解决问题,而不是按字母顺序对区域进行排名,而是按它出现的最早日期对其进行排名。
这是我的数据:
Site | Area | Space | Date
DCG X 7 02/02/2020 12:13
DCG X 5 04/02/2020 11:47
DCG X 12 10/02/2020 15:14
GNL U 0 03/03/2020 18:35
GNL A 4 04/03/2020 08:28
GNL C 4 06/03/2020 09:07
GNL B 1 16/03/2020 07:10
DPL U 0 18/03/2020 09:28
DPL A 1 18/03/2020 09:36
DPL A 1 20/03/2020 20:04
SGR F 2 21/03/2020 19:42
SGR B 2 22/03/2020 10:30
SGR C 3 24/03/2020 08:17
SGR F 1 01/04/2020 09:00
SGR E 1 02/02/2020 10:57
SGR F 1 02/02/2020 15:50
我想添加 2 列,按日期的升序对站点和区域进行排名/分组,如下所示:
Site | Area | Space | Date | Site Order | Area Order |
DCG X 7 02/02/2020 12:13 1 1
DCG X 5 04/02/2020 11:47 1 1
DCG X 12 10/02/2020 15:14 1 1
GNL U 0 03/03/2020 18:35 2 1
GNL A 4 04/03/2020 08:28 2 2
GNL C 4 06/03/2020 09:07 2 3
GNL B 1 16/03/2020 07:10 2 4
DPL U 0 18/03/2020 09:28 3 1
DPL A 1 18/03/2020 09:36 3 2
DPL A 1 20/03/2020 20:04 3 2
SGR F 2 21/03/2020 19:42 4 1
SGR B 2 22/03/2020 10:30 4 2
SGR C 3 24/03/2020 08:17 4 3
SGR F 1 01/04/2020 09:00 4 1
SGR E 1 02/02/2020 10:57 4 4
SGR F 1 02/02/2020 15:50 4 1
抱歉,如果我没有说清楚
您可以将 min()
用作 window 函数来获取每个站点和 site/area 组合的最短日期。然后使用 dense_rank()
:
select t.*,
dense_rank() over (order by min_site_date, site) as site_seqnum,
dense_rank() over (partition by site order by min_site_date) as area_seqnum
from (select t.*,
min(date) over (partition by site) as min_site_date,
min(date) over (partition by site, area) as min_site_area_date
from t
) t
您可以使用window函数:
select t.*,
dense_rank() over (order by site, site_date) as site_sequence,
dense_rank() over (partition by site order by area, site_area_date) as area_sequence
from (select t.*,
min([date]) over (partition by [site]) as site_date,
min([date]) over (partition by [site], area) as site_area_date
from table t
) t;