我有StartDateTime和EndDateTime的这条记录,我希望结果是15分钟间隔的行:
示例数据:
FName | StartDateTime | EndDateTime
:----- | -----------: | :--------------:
Juan | 08/01/2017 1:00| 08/01/2017 8:00
结果:
FName | Interval
:----- | -----------:
Juan | 08/01/2017 1:00
Juan | 08/01/2017 1:15
Juan | 08/01/2017 1:30
Juan | 08/01/2017 1:45
Juan | 08/01/2017 2:00
在它到达EndDateTime之前,我怎样才能在SQL中实现这一点。我正在考虑使用循环语句或cte。
答案 0 :(得分:0)
您可以使用recursive query
这样的
DECLARE @SampleData AS TABLE
(
FName varchar(20),
StartDatetime datetime,
EndDatetime datetime
)
INSERT INTO @SampleData
(
FName,
StartDatetime,
EndDatetime
)
VALUES
('Juan', '2017-08-01 1:00', '2017-08-01 8:00')
;WITH temp AS
(
SELECT sd.FName, sd.StartDatetime AS Interval, sd.EndDatetime
FROM @SampleData sd
UNION ALL
SELECT t.FName, dateadd(minute, 15, t.Interval) AS Interval, t.EndDatetime
FROM temp t
WHERE dateadd(minute, 15, t.Interval) <= t.EndDatetime
)
SELECT t.FName,
t.Interval
FROM temp t
OPTION (MAXRECURSION 0)
答案 1 :(得分:0)
最好使用日期表,但您可以生成如下:
Select Fname, RowN as Interval from #dates
cross apply (
Select top(datediff(hh,startdatetime, enddatetime)*4+1) RowN =dateadd(mi, (row_number() over(order by (Select NULL)) -1)*15 ,startdatetime)
from master..spt_values s1, master..spt_values s2 ) a
输出如下:
+-------+-------------------------+
| Fname | Interval |
+-------+-------------------------+
| Juan | 2017-08-01 01:00:00.000 |
| Juan | 2017-08-01 01:15:00.000 |
| Juan | 2017-08-01 01:30:00.000 |
| Juan | 2017-08-01 01:45:00.000 |
| Juan | 2017-08-01 02:00:00.000 |
| Juan | 2017-08-01 02:15:00.000 |
| Juan | 2017-08-01 02:30:00.000 |
| Juan | 2017-08-01 02:45:00.000 |
| Juan | 2017-08-01 03:00:00.000 |
| Juan | 2017-08-01 03:15:00.000 |
| Juan | 2017-08-01 03:30:00.000 |
| Juan | 2017-08-01 03:45:00.000 |
| Juan | 2017-08-01 04:00:00.000 |
| Juan | 2017-08-01 04:15:00.000 |
| Juan | 2017-08-01 04:30:00.000 |
| Juan | 2017-08-01 04:45:00.000 |
| Juan | 2017-08-01 05:00:00.000 |
| Juan | 2017-08-01 05:15:00.000 |
| Juan | 2017-08-01 05:30:00.000 |
| Juan | 2017-08-01 05:45:00.000 |
| Juan | 2017-08-01 06:00:00.000 |
| Juan | 2017-08-01 06:15:00.000 |
| Juan | 2017-08-01 06:30:00.000 |
| Juan | 2017-08-01 06:45:00.000 |
| Juan | 2017-08-01 07:00:00.000 |
| Juan | 2017-08-01 07:15:00.000 |
| Juan | 2017-08-01 07:30:00.000 |
| Juan | 2017-08-01 07:45:00.000 |
| Juan | 2017-08-01 08:00:00.000 |
+-------+-------------------------+
答案 2 :(得分:0)
您可以使用递归CTE来达到预期效果。
演示 - http://sqlfiddle.com/#!6/821a5/11
with cte as
(
select Fname,StartDateTime
from Table1
union all
select Fname,DATEADD(mi,15,StartDateTime) as StartDateTime
from cte
where DATEADD(mi,15,StartDateTime) <= '2017-01-08 08:00:00:000'
)
select Fname, StartDateTime from cte;
答案 3 :(得分:0)
如果您对TVF(表格值函数)开放
我经常使用此udf来创建动态日期/时间范围。它比递归CTE和参数驱动更快。
参数是Date1,Date2,DatePart和Increment
示例强>
Declare @YourTable Table ([FName] varchar(50),[StartDateTime] datetime,[EndDateTime] datetime)
Insert Into @YourTable Values
('Juan','08/01/2017 1:00','08/01/2017 8:00')
Select A.FName
,B.*
From @YourTable A
Cross Apply [dbo].[udf-Range-Date](A.StartDateTime,A.EndDateTime,'MI',15) B
<强>返回强>
FName RetSeq RetVal
Juan 1 2017-08-01 01:00:00.000
Juan 2 2017-08-01 01:15:00.000
Juan 3 2017-08-01 01:30:00.000
Juan 4 2017-08-01 01:45:00.000
Juan 5 2017-08-01 02:00:00.000
...
Juan 29 2017-08-01 08:00:00.000
感兴趣的UDF
CREATE FUNCTION [dbo].[udf-Range-Date] (@R1 datetime,@R2 datetime,@Part varchar(10),@Incr int)
Returns Table
Return (
with cte0(M) As (Select 1+Case @Part When 'YY' then DateDiff(YY,@R1,@R2)/@Incr When 'QQ' then DateDiff(QQ,@R1,@R2)/@Incr When 'MM' then DateDiff(MM,@R1,@R2)/@Incr When 'WK' then DateDiff(WK,@R1,@R2)/@Incr When 'DD' then DateDiff(DD,@R1,@R2)/@Incr When 'HH' then DateDiff(HH,@R1,@R2)/@Incr When 'MI' then DateDiff(MI,@R1,@R2)/@Incr When 'SS' then DateDiff(SS,@R1,@R2)/@Incr End),
cte1(N) As (Select 1 From (Values(1),(1),(1),(1),(1),(1),(1),(1),(1),(1)) N(N)),
cte2(N) As (Select Top (Select M from cte0) Row_Number() over (Order By (Select NULL)) From cte1 a, cte1 b, cte1 c, cte1 d, cte1 e, cte1 f, cte1 g, cte1 h ),
cte3(N,D) As (Select 0,@R1 Union All Select N,Case @Part When 'YY' then DateAdd(YY, N*@Incr, @R1) When 'QQ' then DateAdd(QQ, N*@Incr, @R1) When 'MM' then DateAdd(MM, N*@Incr, @R1) When 'WK' then DateAdd(WK, N*@Incr, @R1) When 'DD' then DateAdd(DD, N*@Incr, @R1) When 'HH' then DateAdd(HH, N*@Incr, @R1) When 'MI' then DateAdd(MI, N*@Incr, @R1) When 'SS' then DateAdd(SS, N*@Incr, @R1) End From cte2 )
Select RetSeq = N+1
,RetVal = D
From cte3,cte0
Where D<=@R2
)
/*
Max 100 million observations -- Date Parts YY QQ MM WK DD HH MI SS
Syntax:
Select * from [dbo].[udf-Range-Date]('2016-10-01','2020-10-01','YY',1)
Select * from [dbo].[udf-Range-Date]('2016-01-01','2017-01-01','MM',1)
*/