我使用psql排名和分区功能来创建一个表格，描述旅行中拍摄的照片序列，其中id是图片ID，nsid是摄影师ID，位置是照片的拍摄地点，和排名是旅行期间拍摄照片的顺序（由相同date_trunc时间段内的照片定义）。
id |nsid |location |date_taken |time_taken |date_trunc |rank
1 |10000137@N04 |11 |08/03/2006 |18:42:02 |2006-03-06 |1
2 |10000137@N04 |11 |08/03/2006 |18:56:44 |2006-03-06 |2
3 |10000137@N04 |446 |12/09/2007 |01:05:27 |2007-09-10 |1
4 |10000137@N04 |4 |12/09/2007 |01:05:35 |2007-09-10 |2
5 |10000137@N04 |4 |12/09/2007 |01:05:41 |2007-09-10 |3
6 |10000137@N04 |56 |12/09/2007 |01:05:45 |2007-09-10 |4
7 |10000137@N04 |11 |03/07/2008 |09:21:54 |2008-06-30 |1
8 |10000137@N04 |3199 |09/03/2013 |16:37:40 |2013-03-04 |1
9 |10000137@N04 |4 |09/03/2013 |18:56:55 |2013-03-04 |2
10 |10000280@N07 |215 |02/08/2007 |17:25:43 |2007-07-30 |1
11 |10000280@N07 |215 |03/08/2007 |19:35:11 |2007-07-30 |2
12 |100006043@N02 |203 |05/08/2013 |14:02:49 |2013-07-29 |1
13 |100006043@N02 |1 |05/08/2013 |18:08:45 |2013-07-29 |2
14 |100010324@N02 |1 |14/04/2013 |19:19:13 |2013-04-08 |1
15 |100010343@N03 |367 |04/06/2014 |18:54:13 |2014-06-02 |1
16 |100014982@N03 |2909 |28/08/2013 |23:20:27 |2013-08-26 |1
17 |100014982@N03 |183 |13/09/2013 |12:26:41 |2013-09-09 |1
18 |100018928@N06 |1149 |01/08/2013 |08:40:22 |2013-07-29 |1
19 |100018928@N06 |1149 |01/08/2013 |08:40:23 |2013-07-29 |2
20 |100018928@N06 |1149 |01/08/2013 |08:40:32 |2013-07-29 |3
21 |100018928@N06 |1149 |01/08/2013 |08:40:33 |2013-07-29 |4
22 |100021169@N02 |10 |02/07/2005 |18:17:26 |2005-06-27 |1
23 |100021169@N02 |10 |02/07/2005 |18:18:13 |2005-06-27 |2
我想创建一个名为location_rank的新列，它是访问该位置的顺序位置。因此，同一旅行中由相同用户用户在相同位置拍摄的照片将具有相同的location_rank，并且location_rank值仅对于在该用户的旅行期间访问的每个新位置而增加（即，仅当位置值改变时从分区中的上一行开始）。所以所需的表格如下所示：
id |nsid |location |date_taken|time_taken|date_trunc |rank|location_rank
1 |10000137@N04 |11 |08/03/06 |18:42:02 |2006-01-01 |1 |1
2 |10000137@N04 |11 |08/03/06 |18:56:44 |2006-01-01 |2 |1
3 |10000137@N04 |446 |12/09/07 |01:05:27 |2007-01-01 |1 |1
4 |10000137@N04 |4 |12/09/07 |01:05:35 |2007-01-01 |2 |2
5 |10000137@N04 |4 |12/09/07 |01:05:41 |2007-01-01 |3 |2
6 |10000137@N04 |56 |12/09/07 |01:05:45 |2007-01-01 |4 |3
7 |10000137@N04 |11 |03/07/08 |09:21:54 |2008-01-01 |1 |1
8 |10000137@N04 |3199 |09/03/13 |16:37:40 |2013-01-01 |1 |1
9 |10000137@N04 |4 |09/03/13 |18:56:55 |2013-01-01 |2 |2
10 |10000280@N07 |215 |02/08/07 |17:25:43 |2007-01-01 |1 |1
11 |10000280@N07 |215 |03/08/07 |19:35:11 |2007-01-01 |2 |1
12 |100006043@N02 |203 |05/08/13 |14:02:49 |2013-01-01 |1 |1
13 |100006043@N02 |1 |05/08/13 |18:08:45 |2013-01-01 |2 |2
14 |100010324@N02 |1 |14/04/13 |19:19:13 |2013-01-01 |1 |1
15 |100010343@N03 |367 |04/06/14 |18:54:13 |2014-01-01 |1 |1
16 |100014982@N03 |2909 |28/08/13 |23:20:27 |2013-01-01 |1 |1
17 |100014982@N03 |183 |13/09/13 |12:26:41 |2013-01-01 |2 |2
18 |100018928@N06 |1149 |01/08/13 |08:40:22 |2013-01-01 |1 |1
19 |100018928@N06 |1149 |01/08/13 |08:40:23 |2013-01-01 |2 |1
20 |100018928@N06 |1149 |01/08/13 |08:40:32 |2013-01-01 |3 |1
21 |100018928@N06 |1149 |01/08/13 |08:40:33 |2013-01-01 |4 |1
22 |100021169@N02 |10 |02/07/05 |18:17:26 |2005-01-01 |1 |1
23 |100021169@N02 |10 |02/07/05 |18:18:13 |2005-01-01 |2 |1
24 |10002296@N02 |25 |12/03/11 |13:41:10 |2011-01-01 |1 |1
25 |10002296@N02 |25 |12/03/11 |13:42:19 |2011-01-01 |2 |1
26 |10002296@N02 |25 |12/03/11 |14:00:49 |2011-01-01 |3 |1
27 |10002296@N02 |25 |12/03/11 |14:07:57 |2011-01-01 |4 |1
28 |10002296@N02 |25 |12/03/11 |14:10:12 |2011-01-01 |5 |1
29 |10002450@N05 |105 |07/08/11 |02:43:45 |2011-01-01 |1 |1
30 |10002450@N05 |5 |07/08/11 |05:19:27 |2011-01-01 |2 |2
31 |100025689@N07 |966 |28/10/13 |20:19:05 |2013-01-01 |1 |1
32 |100025689@N07 |966 |28/10/13 |20:35:38 |2013-01-01 |2 |1
33 |100025689@N07 |966 |28/10/13 |20:35:55 |2013-01-01 |3 |1
34 |100025689@N07 |966 |28/10/13 |21:09:53 |2013-01-01 |4 |1
35 |100025689@N07 |966 |28/10/13 |21:27:50 |2013-01-01 |5 |1
36 |100029993@N07 |831 |27/09/14 |18:27:24 |2014-01-01 |1 |1
37 |100029993@N07 |3708 |09/10/14 |20:36:42 |2014-01-01 |2 |2
38 |100033343@N05 |42 |31/10/14 |12:23:50 |2014-01-01 |1 |1
39 |10003453@N03 |16 |28/08/09 |13:46:44 |2009-01-01 |1 |1
40 |10003453@N03 |186 |28/08/09 |14:17:39 |2009-01-01 |2 |2
41 |10003453@N03 |19 |28/08/09 |16:43:07 |2009-01-01 |3 |3
42 |10003453@N03 |2919 |29/08/09 |12:18:10 |2009-01-01 |4 |4
43 |10003453@N03 |2453 |29/08/09 |13:22:12 |2009-01-01 |5 |5
44 |10003453@N03 |262 |29/08/09 |15:59:14 |2009-01-01 |6 |6
45 |10003453@N03 |22 |30/08/09 |15:26:56 |2009-01-01 |7 |7
46 |10003453@N03 |33 |30/08/09 |16:25:30 |2009-01-01 |8 |8
47 |10003453@N03 |2914 |30/08/09 |21:29:39 |2009-01-01 |9 |9
48 |10003453@N03 |408 |03/09/09 |23:36:12 |2009-01-01 |10 |10
49 |10003453@N03 |133 |06/09/09 |21:57:03 |2009-01-01 |11 |11
50 |10003453@N03 |713 |16/09/09 |00:01:53 |2009-01-01 |12 |12
我尝试过使用dense_rank函数但是我没有成功。我非常感谢您在创建location_rank专栏时提供的帮助。
以下是我不成功尝试的dense_rank查询：
create table prep.location_rank2 as
select
id, nsid,
location,date_taken,time_taken,date_trunc, rank,
dense_rank() over(
partition by nsid, date_trunc
order by date_taken, time_taken, location, rank
) as location_rank
from prep.test
order by nsid;
答案 0 :(得分：0)
SELECT id,
nsid,
location,
date_taken,
time_taken,
date_trunc,
[rank],
DENSE_RANK() OVER (PARTITION BY nsid, date_trunc
ORDER BY CASE WHEN [rank] = rnum
THEN location
ELSE CAST(CONCAT(CAST([rank]-rnum AS VARCHAR), CAST(location AS VARCHAR)) AS INT)
END) location_rank
FROM (SELECT *,
ROW_NUMBER() OVER (PARTITION BY nsid, date_trunc
ORDER BY location) rnum
FROM photo_trip
) a
ORDER BY id;
结果
id nsid location date_taken time_taken date_trunc rank location_rank
1 10000137@N04 11 2006-03-08 18:42:02.0000000 2006-03-06 1 1
2 10000137@N04 11 2006-03-08 18:56:44.0000000 2006-03-06 2 1
3 10000137@N04 446 2007-09-12 01:05:27.0000000 2007-09-10 1 1
4 10000137@N04 4 2007-09-12 01:05:35.0000000 2007-09-10 2 2
5 10000137@N04 4 2007-09-12 01:05:41.0000000 2007-09-10 3 2
6 10000137@N04 56 2007-09-12 01:05:45.0000000 2007-09-10 4 3
7 10000137@N04 11 2008-07-03 09:21:54.0000000 2008-06-30 1 1
8 10000137@N04 3199 2013-03-09 16:37:40.0000000 2013-03-04 1 1
9 10000137@N04 4 2013-03-09 18:56:55.0000000 2013-03-04 2 2
10 10000280@N07 215 2007-08-02 17:25:43.0000000 2007-07-30 1 1
11 10000280@N07 215 2007-08-03 19:35:11.0000000 2007-07-30 2 1
12 100006043@N02 203 2013-08-05 14:02:49.0000000 2013-07-29 1 1
13 100006043@N02 1 2013-08-05 18:08:45.0000000 2013-07-29 2 2
14 100010324@N02 1 2013-04-14 19:19:13.0000000 2013-04-08 1 1
15 100010343@N03 367 2014-06-04 18:54:13.0000000 2014-06-02 1 1
16 100014982@N03 2909 2013-08-28 23:20:27.0000000 2013-08-26 1 1
17 100014982@N03 183 2013-09-13 12:26:41.0000000 2013-09-09 1 1
18 100018928@N06 1149 2013-08-01 08:40:22.0000000 2013-07-29 1 1
19 100018928@N06 1149 2013-08-01 08:40:23.0000000 2013-07-29 2 1
20 100018928@N06 1149 2013-08-01 08:40:32.0000000 2013-07-29 3 1
21 100018928@N06 1149 2013-08-01 08:40:33.0000000 2013-07-29 4 1
22 100021169@N02 10 2005-07-02 18:17:26.0000000 2005-06-27 1 1
23 100021169@N02 10 2005-07-02 18:18:13.0000000 2005-06-27 2 1