如果你是开放的TVF(表值函数)
我会经常使用这个UDF来创建动态的日期/时间范围。它比递归CTE和参数驱动更快。
的参数是日期1,日期2,日期部分,和增量
例
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
返回
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
的UDF如果有意
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<[email protected]
)
/*
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)
*/