Rob*_*b V 16 sql-server stored-procedures t-sql datetime
我想创建一个存储过程,它将在给定日期范围内的每一天在表中创建一行。存储过程接受两个输入 - 用户所需日期范围的开始日期和结束日期。
所以,假设我有一张像这样的表:
SELECT Day, Currency
FROM ConversionTable
Run Code Online (Sandbox Code Playgroud)
Day 是一个 DateTime,而 Currency 只是一个整数。
为简单起见,假设我始终希望这些插入的行的 Currency 列都为 1。因此,如果有人输入“2017 年 3 月 5 日”作为开始日期,“2017 年 4 月 11 日”作为结束日期,我希望创建以下行:
2017-03-05 00:00:00, 1
2017-03-06 00:00:00, 1
...
2017-04-11 00:00:00, 1
Run Code Online (Sandbox Code Playgroud)
对存储过程进行编码以执行此操作的最佳方法是什么?我在我的测试环境中使用 SQL Server 2008 R2,但我们的真实环境使用 SQL Server 2012,因此如果 2012 年引入的新功能使此任务更容易,我可以升级我的测试机器。
RDF*_*ozz 21
一种选择是递归 CTE:
DECLARE @StartDate datetime = '2017-03-05'
,@EndDate datetime = '2017-04-11'
;
WITH theDates AS
(SELECT @StartDate as theDate
UNION ALL
SELECT DATEADD(day, 1, theDate)
FROM theDates
WHERE DATEADD(day, 1, theDate) <= @EndDate
)
SELECT theDate, 1 as theValue
FROM theDates
OPTION (MAXRECURSION 0)
;
Run Code Online (Sandbox Code Playgroud)
(MAXRECURSION
感谢 Scott Hodgin 的评论,在下面添加了提示。)
小智 6
另一种选择是使用表值函数。这种方法非常快,并且提供了更多的灵活性。您提供日期/时间范围、日期部分和增量。还提供了将其包含在 CROSS APPLY 中的优势
例如
Select * from [dbo].[udf-Range-Date]('2017-03-05','2017-04-11','DD',1)
Run Code Online (Sandbox Code Playgroud)
退货
RetSeq RetVal
1 2017-03-05 00:00:00.000
2 2017-03-06 00:00:00.000
3 2017-03-07 00:00:00.000
4 2017-03-08 00:00:00.000
5 2017-03-09 00:00:00.000
...
36 2017-04-09 00:00:00.000
37 2017-04-10 00:00:00.000
38 2017-04-11 00:00:00.000
Run Code Online (Sandbox Code Playgroud)
UDF(如果有兴趣)
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)
*/
Run Code Online (Sandbox Code Playgroud)