我經常使用TVF來創建動態的日期/時間範圍。一個理貨表也可以做到這一點。 UDF比遞歸更快,並提供更多功能,即定義日期範圍,DatePart和增量。
Declare @YourTable table (Timestamp time,Value money)
Insert Into @YourTable values
('12:01',1.3),
('12:02',1.7),
('12:04',2.0),
('12:08',1.8),
('12:11',1.1),
('12:12',2.0)
Select TimeStamp=R1
,Average=Avg(Value)
From (Select RetSeq,R1=cast(RetVal as Time),R2=cast(DateAdd(MI,5,RetVal) as Time) from [dbo].[udf-Range-Date]('1900-01-01','1900-01-02','MI',5)) A
Join @YourTable B on B.TimeStamp>=A.R1 and B.TimeStamp<A.R2
Group By R1
Order By R1
返回
TimeStamp Average
12:00:00.0000000 1.6666
12:05:00.0000000 1.80
12:10:00.0000000 1.55
的UDF如果需要
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)
「Timestamp」列的數據類型是什麼? –
Time_stamp是日期時間 –
您應該考慮使用與時間戳不同的名稱。這意味着什麼是完全不明確的。是創建日期,是否更新?也許這是到期日?當然,時間戳是sql server中的一個數據類型,與一天中的時間無關。 –