在这个人的墙上撞了我的头。对我来说，这是一个新的诚实。我正在努力解决这个问题。显然是试图拉数据和垃圾。 concats只是拉垃圾，因为我似乎无法解析插入数据中的垃圾。我从来没有遇到过这样的问题，即我不得不从数据中提取垃圾而不仅仅是通过数据库进行分配。
create table [dbo].[sample_table](
[id] [int] identity(1,1) not null,
[date] [varchar](255) null,
[hour1] [varchar](255) null,
[hour2] [varchar](255) null,
[hour3] [varchar](255) null,
[hour4] [varchar](255) null,
[hour5] [varchar](255) null,
[hour6] [varchar](255) null,
[hour7] [varchar](255) null,
[hour8] [varchar](255) null,
[hour9] [varchar](255) null,
[hour10] [varchar](255) null,
[hour11] [varchar](255) null,
[hour12] [varchar](255) null,
[hour13] [varchar](255) null,
[hour14] [varchar](255) null,
[hour15] [varchar](255) null,
[hour16] [varchar](255) null,
[hour17] [varchar](255) null,
[hour18] [varchar](255) null,
[hour19] [varchar](255) null,
[hour20] [varchar](255) null,
[hour21] [varchar](255) null,
[hour22] [varchar](255) null,
[hour23] [varchar](255) null,
[hour24] [varchar](255) null)
insert into [dbo].[sample_table] ([date], [hour1], [hour2], [hour3], [hour4], [hour5], [hour6], [hour7], [hour8], [hour9], [hour10], [hour11], [hour12], [hour13], [hour14], [hour15], [hour16], [hour17], [hour18], [hour19], [hour20], [hour21], [hour22], [hour23], [hour24])
values
('2015-05-25', '1', '2', '3', '4', '5', '6', '7', '8', '9', '10', '-11', '12', '13', '14', '15', '16', '17', '18', '19', '20', '21', '22', null, '24'),
('2015-07-12', '1', '2', '3', '4', '5', '6', '7', '8', '9', '10.5', '11', '12', '13', '14', '15', '16', '17', '18', '19', '20', '21', '22', '23', '24'),
('2016-11-01', '1', '2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12', '13', 'test', '15', '16', '17', '18', '19', '20', '21', '22', '23', '24'),
('2014-05-25', '1', '2', '3', '4', '5', '6', '7', '8.954', '9', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '20', '21', '22', '23', '24')
编写一个脚本，返回id，datetime [new field]，value [new field]的行数据。
id full_date value
1 2015-05-25 13:00:00 13
1 2015-05-25 14:00:00 14
2 2015-07-12 08:00:00 8
4 2014-05-25 08:00:00 8.954
答案 0 :(得分：1)
我不知道您为什么要尝试使用if语句执行此操作。
相反，让我们使用cross apply(values )来unpivot您的数据：
select
st.id
, u.full_date
, u.value
from sample_table st
cross apply (values
(dateadd(hour,1,[date]),hour1)
,(dateadd(hour,2,[date]),hour2)
,(dateadd(hour,3,[date]),hour3)
,(dateadd(hour,4,[date]),hour4)
,(dateadd(hour,5,[date]),hour5)
,(dateadd(hour,6,[date]),hour6)
,(dateadd(hour,7,[date]),hour7)
,(dateadd(hour,8,[date]),hour8)
,(dateadd(hour,9,[date]),hour9)
,(dateadd(hour,10,[date]),hour10)
,(dateadd(hour,11,[date]),hour11)
,(dateadd(hour,12,[date]),hour12)
,(dateadd(hour,13,[date]),hour13)
,(dateadd(hour,14,[date]),hour14)
,(dateadd(hour,15,[date]),hour15)
,(dateadd(hour,16,[date]),hour16)
,(dateadd(hour,17,[date]),hour17)
,(dateadd(hour,18,[date]),hour18)
,(dateadd(hour,19,[date]),hour19)
,(dateadd(hour,20,[date]),hour20)
,(dateadd(hour,21,[date]),hour21)
,(dateadd(hour,22,[date]),hour22)
,(dateadd(hour,23,[date]),hour23)
,(dateadd(hour,24,[date]),hour24)
) u (full_date, value)
rextester演示：http://rextester.com/UPQH6293
返回：
+----+---------------------+-------+
| id | full_date | value |
+----+---------------------+-------+
| 1 | 2015-05-25 01:00:00 | 1 |
| 1 | 2015-05-25 02:00:00 | 2 |
| 1 | 2015-05-25 03:00:00 | 3 |
| 1 | 2015-05-25 04:00:00 | 4 |
| 1 | 2015-05-25 05:00:00 | 5 |
| 1 | 2015-05-25 06:00:00 | 6 |
| 1 | 2015-05-25 07:00:00 | 7 |
| 1 | 2015-05-25 08:00:00 | 8 |
| 1 | 2015-05-25 09:00:00 | 9 |
| 1 | 2015-05-25 10:00:00 | 10 |
| 1 | 2015-05-25 11:00:00 | -11 |
| 1 | 2015-05-25 12:00:00 | 12 |
| 1 | 2015-05-25 13:00:00 | 13 |
| 1 | 2015-05-25 14:00:00 | 14 |
| 1 | 2015-05-25 15:00:00 | 15 |
| 1 | 2015-05-25 16:00:00 | 16 |
| 1 | 2015-05-25 17:00:00 | 17 |
| 1 | 2015-05-25 18:00:00 | 18 |
| 1 | 2015-05-25 19:00:00 | 19 |
| 1 | 2015-05-25 20:00:00 | 20 |
| 1 | 2015-05-25 21:00:00 | 21 |
| 1 | 2015-05-25 22:00:00 | 22 |
| 1 | 2015-05-25 23:00:00 | NULL |
| 1 | 2015-05-26 00:00:00 | 24 |
| 2 | 2015-07-12 01:00:00 | 1 |
| 2 | 2015-07-12 02:00:00 | 2 |
| 2 | 2015-07-12 03:00:00 | 3 |
| 2 | 2015-07-12 04:00:00 | 4 |
| 2 | 2015-07-12 05:00:00 | 5 |
| 2 | 2015-07-12 06:00:00 | 6 |
| 2 | 2015-07-12 07:00:00 | 7 |
| 2 | 2015-07-12 08:00:00 | 8 |
| 2 | 2015-07-12 09:00:00 | 9 |
| 2 | 2015-07-12 10:00:00 | 10.5 |
| 2 | 2015-07-12 11:00:00 | 11 |
| 2 | 2015-07-12 12:00:00 | 12 |
| 2 | 2015-07-12 13:00:00 | 13 |
| 2 | 2015-07-12 14:00:00 | 14 |
| 2 | 2015-07-12 15:00:00 | 15 |
| 2 | 2015-07-12 16:00:00 | 16 |
| 2 | 2015-07-12 17:00:00 | 17 |
| 2 | 2015-07-12 18:00:00 | 18 |
| 2 | 2015-07-12 19:00:00 | 19 |
| 2 | 2015-07-12 20:00:00 | 20 |
| 2 | 2015-07-12 21:00:00 | 21 |
| 2 | 2015-07-12 22:00:00 | 22 |
| 2 | 2015-07-12 23:00:00 | 23 |
| 2 | 2015-07-13 00:00:00 | 24 |
| 3 | 2016-11-01 01:00:00 | 1 |
| 3 | 2016-11-01 02:00:00 | 2 |
| 3 | 2016-11-01 03:00:00 | 3 |
| 3 | 2016-11-01 04:00:00 | 4 |
| 3 | 2016-11-01 05:00:00 | 5 |
| 3 | 2016-11-01 06:00:00 | 6 |
| 3 | 2016-11-01 07:00:00 | 7 |
| 3 | 2016-11-01 08:00:00 | 8 |
| 3 | 2016-11-01 09:00:00 | 9 |
| 3 | 2016-11-01 10:00:00 | 10 |
| 3 | 2016-11-01 11:00:00 | 11 |
| 3 | 2016-11-01 12:00:00 | 12 |
| 3 | 2016-11-01 13:00:00 | 13 |
| 3 | 2016-11-01 14:00:00 | test |
| 3 | 2016-11-01 15:00:00 | 15 |
| 3 | 2016-11-01 16:00:00 | 16 |
| 3 | 2016-11-01 17:00:00 | 17 |
| 3 | 2016-11-01 18:00:00 | 18 |
| 3 | 2016-11-01 19:00:00 | 19 |
| 3 | 2016-11-01 20:00:00 | 20 |
| 3 | 2016-11-01 21:00:00 | 21 |
| 3 | 2016-11-01 22:00:00 | 22 |
| 3 | 2016-11-01 23:00:00 | 23 |
| 3 | 2016-11-02 00:00:00 | 24 |
| 4 | 2014-05-25 01:00:00 | 1 |
| 4 | 2014-05-25 02:00:00 | 2 |
| 4 | 2014-05-25 03:00:00 | 3 |
| 4 | 2014-05-25 04:00:00 | 4 |
| 4 | 2014-05-25 05:00:00 | 5 |
| 4 | 2014-05-25 06:00:00 | 6 |
| 4 | 2014-05-25 07:00:00 | 7 |
| 4 | 2014-05-25 08:00:00 | 8.954 |
| 4 | 2014-05-25 09:00:00 | 9 |
| 4 | 2014-05-25 10:00:00 | 10 |
| 4 | 2014-05-25 11:00:00 | 11 |
| 4 | 2014-05-25 12:00:00 | 12 |
| 4 | 2014-05-25 13:00:00 | 13 |
| 4 | 2014-05-25 14:00:00 | 14 |
| 4 | 2014-05-25 15:00:00 | 15 |
| 4 | 2014-05-25 16:00:00 | 16 |
| 4 | 2014-05-25 17:00:00 | 17 |
| 4 | 2014-05-25 18:00:00 | 18 |
| 4 | 2014-05-25 19:00:00 | 19 |
| 4 | 2014-05-25 20:00:00 | 20 |
| 4 | 2014-05-25 21:00:00 | 21 |
| 4 | 2014-05-25 22:00:00 | 22 |
| 4 | 2014-05-25 23:00:00 | 23 |
| 4 | 2014-05-26 00:00:00 | 24 |
+----+---------------------+-------+