ALTER PROCEDURE [dbo].[Create_time_by_day_dimension]
-- Add the parameters for the stored procedure here
AS
BEGIN
-- SET NOCOUNT ON added to prevent extra result sets from
-- interfering with SELECT statements.
SET NOCOUNT ON;
begin try
drop table [time_by_day_dimension]
end try
begin catch
end catch
CREATE TABLE [dbo].[time_by_day_dimension] (
[time_id] [int] IDENTITY (1, 1) NOT NULL ,
[the_date] [datetime] NULL ,
[the_day] [nvarchar] (15) NULL ,
[the_month] [nvarchar] (15) NULL ,
[the_year] [smallint] NULL ,
[day_of_month] [smallint] NULL ,
[week_of_year] [smallint] NULL ,
[month_of_year] [smallint] NULL ,
[quarter] [nvarchar] (2) NULL ,
[fiscal_period] [nvarchar] (20) NULL
) ON [PRIMARY]
DECLARE @WeekString varchar(12),
@dDate SMALLDATETIME,
@sMonth varchar(20),
@iYear smallint,
@iDayOfMonth smallint,
@iWeekOfYear smallint,
@iMonthOfYear smallint,
@sQuarter varchar(2),
@sSQL varchar(100),
@adddays int
SELECT @adddays = 1 --日期增量(可以自由设定)
SELECT @dDate = '01/01/2006' --开始日期
WHILE @dDate < '12/31/2010' --结束日期
BEGIN
SELECT @WeekString = DATENAME (dw, @dDate)
SELECT @sMonth=DATENAME(mm,@dDate)
SELECT @iYear= DATENAME (yy, @dDate)
SELECT @iDayOfMonth=DATENAME (dd, @dDate)
SELECT @iWeekOfYear= DATENAME (week, @dDate)
SELECT @iMonthOfYear=DATEPART(month, @dDate)
SELECT @sQuarter = 'Q' + CAST(DATENAME (quarter, @dDate)as varchar(1))
INSERT INTO time_by_day_dimension(the_date, the_day, the_month, the_year,
day_of_month,
week_of_year, month_of_year, quarter) VALUES
(@dDate, @WeekString, @sMonth, @iYear, @iDayOfMonth, @iWeekOfYear,
@iMonthOfYear, @sQuarter)
SELECT @dDate = @dDate + @adddays
END
END
如果时间维度的粒度精确到天的话,建议time_id不用自增列,使用
cast(the_day as int)来填充该列,可以避免事实表和维度表进行关联。当然使用自增列也可以避免关联,不过要做一些处理
故按照bluexanadu的脚本,timekey可以这样写:
select cast((
left(convert(nvarchar,thedate,23),4)+
substring(convert(nvarchar,thedate,23),6,2)+
substring(convert(nvarchar,thedate,23),9,2))
as int) from dim_date
declare @d datetime
set @d='1995-01-01 00:00:00'
select cast(@d as int)
结果是:
34698
你可以把这个结果转化成日期:
select cast(34698 as datetime)
结果是:
1995-01-01 00:00:00.000