I have a table of startTime and endTimes. I need to generate a table of intervals between those two dates in minutes. Here's some sample data:
declare #intervalMinutes int = 10
declare #myDates table (
myId int primary key identity,
startTime datetime,
endTime datetime
)
insert #myDates (startTime, EndTime) values ('2016-07-10 08:00','2016-07-10 09:00')
insert #myDates (startTime, EndTime) values ('2016-07-12 10:00','2016-07-12 12:00')
insert #myDates (startTime, EndTime) values ('2016-07-14 12:30','2016-07-14 14:30')
What I'd like to see is for each myId a set of dates of interval #intervalMinutes.
So if we had #intervalMinutes set to 10 then I'd see for the first row a list of 6 dates between 2016-07-10 08:00 and 2016-07-10 09:00 in 10 minute increments.
You can use recursive query like this :
declare #intervalMinutes int = 10
declare #myDates table (
myId int primary key identity,
startTime datetime,
endTime datetime
)
DECLARE #startTime DATETIME = '2016-07-10 08:00'
DECLARE #endTime DATETIME = '2016-07-10 09:00'
;WITH CTE AS
(
SELECT #startTime st
UNION ALL
SELECT dateadd(MINUTE,#intervalMinutes,st) st
FROM cte
where dateadd(MINUTE,#intervalMinutes,st) < #endTime
)
INSERT INTO #myDates(startTime,endTime)
SELECT st,dateadd(MINUTE,#intervalMinutes,st) FROM cte
SELECT * FROm #myDates
A numbers/tally table would do the trick as Gordon mentioned. However, I use a UDF to create dynamic date ranges.
For example
Select * from [dbo].[udf-Create-Range-Date]('2016-07-10 08:00','2016-07-10 09:00','MI',10)
Returns
RetVal
2016-07-10 08:00:00.000
2016-07-10 08:10:00.000
2016-07-10 08:20:00.000
2016-07-10 08:30:00.000
2016-07-10 08:40:00.000
2016-07-10 08:50:00.000
2016-07-10 09:00:00.000
The UDF
CREATE FUNCTION [dbo].[udf-Create-Range-Date] (#DateFrom datetime,#DateTo datetime,#DatePart varchar(10),#Incr int)
Returns
#ReturnVal Table (RetVal datetime)
As
Begin
With DateTable As (
Select DateFrom = #DateFrom
Union All
Select Case #DatePart
When 'YY' then DateAdd(YY, #Incr, df.dateFrom)
When 'QQ' then DateAdd(QQ, #Incr, df.dateFrom)
When 'MM' then DateAdd(MM, #Incr, df.dateFrom)
When 'WK' then DateAdd(WK, #Incr, df.dateFrom)
When 'DD' then DateAdd(DD, #Incr, df.dateFrom)
When 'HH' then DateAdd(HH, #Incr, df.dateFrom)
When 'MI' then DateAdd(MI, #Incr, df.dateFrom)
When 'SS' then DateAdd(SS, #Incr, df.dateFrom)
End
From DateTable DF
Where DF.DateFrom < #DateTo
)
Insert into #ReturnVal(RetVal) Select DateFrom From DateTable option (maxrecursion 32767)
Return
End
-- Syntax Select * from [dbo].[udf-Create-Range-Date]('2016-10-01','2020-10-01','YY',1)
-- Syntax Select * from [dbo].[udf-Create-Range-Date]('2016-10-01','2020-10-01','DD',1)
-- Syntax Select * from [dbo].[udf-Create-Range-Date]('2016-10-01','2016-10-31','MI',15)
-- Syntax Select * from [dbo].[udf-Create-Range-Date]('2016-10-01','2016-10-02','SS',1)
A numbers table can solve your problem. Assuming you don't need more than a few thousand rows, then this should work:
with n as (
select row_number() over (order by (select null)) - 1 as n
from master.spt_values
)
select d.*,
dateadd(minute, n.n * #intervalMinutes, d.startTime)
from #myDates d join
n
on dateadd(minute, n.n * #intervalMinutes, d.startTime) <= d.endTime;
To add to #GordonLinoff 's good answer, Jonathan Roberts (from SQLServerCentral.com - See the link in the revision history in the code for the original article) wrote a dandy function that'll handle pretty much anything. The flower box pretty much explains it all along with some example usage Here's his code from his article.
/**********************************************************************************************************************
FUNCTION: DateRange
Returns a table of datetime values based on the parameters
Parameters:
#StartDate :Start date of the series
#EndDate :End date of the series
#DatePart :The time unit for #interval
ns : nanoseconds
mcs : microseconds
ms : milliseconds
ss : seconds
mi : minutes
hh : hours
dd : days
ww : weeks
mm : months
qq : quarters
yy : years
#Interval :The number of dateparts between each value returned
Sample Calls:
SELECT * FROM [dbo].[DateRange]('2011-01-01 12:24:35', '2011-02-01 12:24:35', 'ss', 2);
SELECT COUNT(*) FROM [dbo].[DateRange]('2018-01-01 00:00:00', '2018-01-25 20:31:23.646', 'ms', default);
SELECT * FROM [dbo].[DateRange]('2011-01-01', '2012-02-03', default, default);
SELECT * FROM [dbo].[DateRange]('2012-02-03', '2011-01-01', 'dd', 7);
SELECT DATEDIFF(ns,'2018-01-01 00:00:00.000', value),Value,*
FROM [dbo].[DateRange]('2018-01-01 00:00:00.000', '2018-01-01 00:00:00.00001', 'ns', 100);
-----------------------------------------------------------------------------------------------------------------------
Revision History:
Rev 00 - 29 Aug 2019 - Jonathan Roberts
- Initial release
- Ref: https://www.sqlservercentral.com/scripts/a-daterange-table-valued-function
**********************************************************************************************************************/
CREATE FUNCTION [dbo].[DateRange]
(
#StartDate datetime2,
#EndDate datetime2,
#DatePart nvarchar(3)='dd',
#Interval int=1
)
RETURNS TABLE AS RETURN
WITH A(A) AS (SELECT 0 FROM (VALUES (0),(0),(0),(0),(0),(0),(0),(0),(0),(0),(0),(0),(0),(0),(0),(0)) A(A)),
B(RowNum) AS (SELECT TOP(ABS(CASE #DatePart
WHEN 'ns' THEN DATEDIFF(ns, #EndDate, #StartDate)/#Interval
WHEN 'mcs' THEN DATEDIFF(mcs,#EndDate, #StartDate)/#Interval
WHEN 'ms' THEN DATEDIFF(ms, #EndDate, #StartDate)/#Interval
WHEN 'ss' THEN DATEDIFF(ss, #EndDate, #StartDate)/#Interval
WHEN 'mi' THEN DATEDIFF(mi, #EndDate, #StartDate)/#Interval
WHEN 'hh' THEN DATEDIFF(hh, #EndDate, #StartDate)/#Interval
WHEN 'dd' THEN DATEDIFF(dd, #EndDate, #StartDate)/#Interval
WHEN 'ww' THEN DATEDIFF(ww, #EndDate, #StartDate)/#Interval
WHEN 'mm' THEN DATEDIFF(mm, #EndDate, #StartDate)/#Interval
WHEN 'qq' THEN DATEDIFF(qq, #EndDate, #StartDate)/#Interval
WHEN 'yy' THEN DATEDIFF(yy, #EndDate, #StartDate)/#Interval
ELSE DATEDIFF(dd, IIF(#StartDate < #EndDate, #StartDate, #EndDate), IIF(#StartDate < #EndDate, #EndDate, #StartDate))/#Interval
END) + 1)
ROW_NUMBER() OVER (ORDER BY (SELECT NULL)) - 1
FROM A A, A B, A C, A D, A E, A F, A G, A H) -- A maximum of 16^8 (or 2^32) rows could be returned from this inline tally
SELECT CASE #DatePart
WHEN 'ns' THEN DATEADD(ns, T.AddAmount, #StartDate)
WHEN 'mcs' THEN DATEADD(mcs,T.AddAmount, #StartDate)
WHEN 'ms' THEN DATEADD(ms, T.AddAmount, #StartDate)
WHEN 'ss' THEN DATEADD(ss, T.AddAmount, #StartDate)
WHEN 'mi' THEN DATEADD(mi, T.AddAmount, #StartDate)
WHEN 'hh' THEN DATEADD(hh, T.AddAmount, #StartDate)
WHEN 'dd' THEN DATEADD(dd, T.AddAmount, #StartDate)
WHEN 'ww' THEN DATEADD(ww, T.AddAmount, #StartDate)
WHEN 'mm' THEN DATEADD(mm, T.AddAmount, #StartDate)
WHEN 'qq' THEN DATEADD(qq, T.AddAmount, #StartDate)
WHEN 'yy' THEN DATEADD(yy, T.AddAmount, #StartDate)
ELSE DATEADD(dd, T.AddAmount, #StartDate)
END [Value]
FROM B
CROSS APPLY(VALUES (IIF(#StartDate<#EndDate, #interval*RowNum, #interval*-RowNum))) T(AddAmount)
GO
Related
I have below query and i want to get datetime in 30 min intervals between 2 datetime. Basicly I got it, but is limitited and wouln't return al results if the timediff is over 24 hrs.
For example:
#DateTime1 = 24/11/2016 18:00:00
#DateTime2 = 25/11/2016 06:00:00
Result: (in format "dd-HH:mm")
24-18:00
24-18:30
24-19:00
24-19:30
24-20:00
...
...
25-05:00
25-05:30
25-06:00
What I've tried.
SELECT number, DATEADD(MINUTE, number, #DateTime1) AS DateTimeLine, DATEPART(DAY, DATEADD(MINUTE, number, #DateTime1)) AS Days, DATEPART(MONTH,
DATEADD(MINUTE, number, #DateTime1)) AS Months, DATEPART(YEAR, DATEADD(MINUTE, number, #DateTime1)) AS Years, DATEPART(HOUR, DATEADD(MINUTE,
number, #DateTime1)) AS Hours, DATEPART(MINUTE, DATEADD(MINUTE, number, #DateTime1)) AS Minute, CAST(DATEADD(MINUTE, number, #DateTime1)
AS DATE) AS Date, CAST(DATEADD(MINUTE, number, #DateTime1) AS TIME) AS Time
FROM master.dbo.spt_values
WHERE (type = 'P') AND (DATEPART(MINUTE, DATEADD(MINUTE, number, #DateTime1)) = 30 OR DATEPART(MINUTE, DATEADD(MINUTE, number, #DateTime1)) = 0) AND (DATEADD(MINUTE, number, #DateTime1) <= #DateTime2)
ORDER BY number
A tally table is a great way to deal with this type of thing. I keep one in a view to avoid using spt_values.
create View [dbo].[cteTally] as
WITH
E1(N) AS (select 1 from (values (1),(1),(1),(1),(1),(1),(1),(1),(1),(1))dt(n)),
E2(N) AS (SELECT 1 FROM E1 a, E1 b), --10E+2 or 100 rows
E4(N) AS (SELECT 1 FROM E2 a, E2 b), --10E+4 or 10,000 rows max
cteTally(N) AS
(
SELECT ROW_NUMBER() OVER (ORDER BY (SELECT NULL)) FROM E4
)
select N from cteTally
Then your code becomes really simple too. A small amount of datemath and voila.
declare #DateTime1 datetime = '2016/11/24 18:00:00'
, #DateTime2 datetime = '2016/11/25 06:00:00'
select FORMAT(DATEADD(minute, (t.N - 1) * 30, #DateTime1), 'dd-HH:mm')
from cteTally t
where t.N <= (DATEDIFF(hour, #DateTime1, #DateTime2) * 2) + 1
I have a TVF which generates dynamic date/time ranges. It is faster than a recursive cte, and I think more flexible. You pass the date range, desired DatePart, and increment.
Declare #DateTime1 DateTime = '2016-11-24 18:00:00'
Declare #DateTime2 DateTime = '2016-11-25 06:00:00'
Select Format(RetVal,'dd-HH:mm') from [dbo].[udf-Range-Date](#DateTime1,#DateTime2,'MI',30)
Returns
24-18:00
24-18:30
24-19:00
24-19:30
24-20:00
24-20:30
24-21:00
24-21:30
24-22:00
24-22:30
24-23:00
24-23:30
25-00:00
....
25-04:30
25-05:00
25-05:30
25-06:00
The UDF if needed
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)
*/
using a recursive Common Table Expression [CTE] is one pretty clean method. For the formatting I am showing FORMAT() from SQL-Server 2012+ you may consider using DATEPART etc to do it though as FORMAT() can have performance impact.
I do agree with #RossBush's comment if you do things like this a lot generating a calendar (dates) and a time dimensions is very helpful for these purposes.
DECLARE #DateTime1 DATETIME = '2016/11/24 18:00:00'
DECLARE #DateTime2 DATETIME = '2016/11/25 06:00:00'
;WITH cte30MinIncrements AS (
SELECT #DateTime1 as DT
UNION ALL
SELECT DATEADD(MINUTE,30,DT)
FROM
cte30MinIncrements
WHERE DATEADD(MINUTE,30,DT) <= #DateTime2
)
SELECT
*
,FORMAT(DT,'dd-HH:mm') as Formated
FROM
cte30MinIncrements
Please see if this works.
declare #DateTime1 DateTime = '2016-11-24 18:00:00'
declare #DateTime2 DateTime = '2016-11-25 18:00:00'
declare #Interval DateTime = #DateTime1
declare #vartmptable table(DT DateTime)
While (#Interval < #DateTime2)
begin
--select #Interval, FORMAT(#Interval,'dd-HH:mm')
insert into #vartmptable select #Interval
set #Interval = DATEADD(mi,30,#Interval)
end
select FORMAT(DT,'dd-HH:mm') from #vartmptable
What about this? You can use variables/ fixed values as necessary.
WITH CTE_Numbers
AS (
SELECT n = 1
UNION ALL
SELECT n + 1
FROM CTE_Numbers
WHERE n < 100
)
SELECT FORMAT(DATEADD(mi, n * 30, '2016/11/03'),'dd-HH:mm')
FROM CTE_Numbers
Code:
DECLARE #SD DATE = '2017-01-01'
,#ED DATE = '2017-01-07'
,#ST TIME = '08:00:00'
,#ET TIME = '16:00:00';
DECLARE #DT_T TABLE (SDT DATETIME, EDT DATETIME)
Goal:
To combine Start/End Date and Start/End Time (#SD/#ED and #ST/#ET) and create a table with gap intervals between StartDateTime and EndDateTime as shown in the desired output below.
Desired Output
/* #DT_T Data
SDT EDT
2017-01-01 08:00:00 2017-01-01 16:00:00
2017-01-02 08:00:00 2017-01-02 16:00:00
2017-01-03 08:00:00 2017-01-03 16:00:00
2017-01-04 08:00:00 2017-01-04 16:00:00
2017-01-05 08:00:00 2017-01-05 16:00:00
2017-01-06 08:00:00 2017-01-06 16:00:00
2017-01-07 08:00:00 2017-01-07 16:00:00
*/
I'm trying with the numbers table but so far not getting anywhere close.
Something like this? rextester: http://rextester.com/ULTV27021
declare #sd date = '2017-01-01'
,#ed date = '2017-01-07'
,#st_hour int = 8
,#et_hour int = 16;
declare #dt_t table (sdt datetime, edt datetime);
;with n as (select n from (values(0),(1),(2),(3),(4),(5),(6),(7),(8),(9)) t(n))
, d as (
select
sdt=dateadd(hour,#st_hour,convert(datetime,dateadd(day, row_number() over (order by (select 1)) -1,#sd)))
, edt=dateadd(hour,#et_hour,convert(datetime,dateadd(day, row_number() over (order by (select 1)) -1,#sd)))
from n as deka
cross join n as hecto
cross join n as kilo /* 2.73 years */
--cross join n as [10k] /* 27.3 years */
)
insert into #dt_t (sdt,edt)
select top (datediff(day,#sd,#ed)+1)
sdt
, edt
from d
order by sdt;
select * from #dt_t
note: rextester's default output formatting for dates is dd.MM.yyyy
Try this. Should get what you want.
DECLARE #SD DATE = '2017-01-01'
,#ED DATE = '2017-01-07'
,#ST TIME = '08:00:00'
,#ET TIME = '16:00:00';
DECLARE #DT_T TABLE (SDT DATETIME, EDT DATETIME)
Declare #i int = 0
While (#SD < #ED)
Begin
Insert Into #DT_T(SDT, EDT)
Select Cast(Convert(varchar(10),DateAdd(Day,#i,#SD),21) + ' ' + Convert(varchar(8),#ST,21) as datetime), Cast(Convert(varchar(10),DateAdd(Day,#i,#SD),21) + ' ' + Convert(varchar(10),#ET,21) as DateTime)
Set #i = #i + 1
IF (DateAdd(Day,#i,#SD) = #ED)
Break
Else
Continue
END
Insert Into #DT_T(SDT, EDT)
Select Cast(Convert(varchar(10),#ED,21) + ' ' + Convert(varchar(8),#ST,21) as datetime), Cast(Convert(varchar(10),#ED,21) + ' ' + Convert(varchar(10),#ET,21) as DateTime)
Select SDT, EDT From #DT_T
Use the next approach
use datediff function for inserting the rows between the 2
ranges.
update only the time in datetime values.
Demo:-
DECLARE #SD DATE = '2017-01-01'
,#ED DATE = '2017-01-07'
,#ST TIME = '08:00:00'
,#ET TIME = '16:00:00';
DECLARE #DT_T TABLE (SDT DATETIME, EDT DATETIME)
DECLARE #start int
set #start = 0
while #start <= datediff(day,#SD,#ED)
begin
insert into #DT_T values
( dateadd(day,#start, #SD) ,
dateadd(day,#start, #SD))
set #start = #start + 1
end
UPDATE #DT_T
SET SDT = DATEADD(HOUR, 8, CAST(CAST(SDT AS DATE) AS DATETIME)) ,
EDT = DATEADD(HOUR, 16, CAST(CAST(EDT AS DATE) AS DATETIME))
select * from #DT_T
Result:-
I'll often use a TVF to create dynamic date/time ranges. A tally table would do the trick as well. The UDF can be faster than a recursive CTE and is parameter driven. You supply the date range, DatePart and Increment. For Example:
Declare #D1 datetime = '2017-01-01'
Declare #D2 datetime = '2017-01-07'
Declare #T1 datetime = '08:00'
Select RetSeq
,STD = RetVal
,EDT = DateAdd(HOUR,8,RetVal)
From [dbo].[udf-Range-Date](#D1+#T1,#D2+#T1,'DD',1)
Returns
The UDF if needed
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)
*/
Can someone help me with getting the first and last day of week based on yearweek integer like 201648 without conserning about setting the ##firstdate attribute. I want iso date starting on monday in datetime format.
declare #yrwk int = 201648
declare #yr int = left(#yrwk,4)
declare #wk int = right(#yrwk,2)
select dateadd (week, #wk, dateadd (year, #yr-1900, 0)) - 4 - datepart(dw, dateadd (week, #wk, dateadd (year, #yr-1900, 0)) - 4) + 1
--returns 11/27/2016 which is Sunday of that week (start of week)
--change +1 to +2 at the end for "Monday"
After a little consideration, I thought that perhaps my dynamic Date/Time Range UDF may help here. I use this UDF to generate dynamic date/time ranges. You can supply the desired date range, date part and increment. A tally table would do the trick as well
In this case, we are getting the Nth Monday regardless of the datepart(WK,..) as per the requirements.
Declare #YYYYWW int = 201648
Select WkNbr = B.RetSeq
,WkBeg = B.RetVal
,WkEnd = DateAdd(DD,6,B.RetVal)
From (
Select MinDate=Min(RetVal)
From [dbo].[udf-Range-Date](DateFromParts(Left(#YYYYWW,4),1,1),DateFromParts(Left(#YYYYWW,4),1,10),'DD',1)
Where DateName(DW,RetVal)='Monday'
) A
Cross Apply (Select * From [dbo].[udf-Range-Date](A.MinDate,DateFromParts(Left(#YYYYWW,4),12,31),'DD',7) ) B
Where B.RetSeq = Right(#YYYYWW,2)
Returns
WkNbr WkBeg WkEnd
48 2016-11-28 2016-12-04
The UDF if interested
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)
*/
I have below query and i want to get datetime in 30 min intervals between 2 datetime. Basicly I got it, but is limitited and wouln't return al results if the timediff is over 24 hrs.
For example:
#DateTime1 = 24/11/2016 18:00:00
#DateTime2 = 25/11/2016 06:00:00
Result: (in format "dd-HH:mm")
24-18:00
24-18:30
24-19:00
24-19:30
24-20:00
...
...
25-05:00
25-05:30
25-06:00
What I've tried.
SELECT number, DATEADD(MINUTE, number, #DateTime1) AS DateTimeLine, DATEPART(DAY, DATEADD(MINUTE, number, #DateTime1)) AS Days, DATEPART(MONTH,
DATEADD(MINUTE, number, #DateTime1)) AS Months, DATEPART(YEAR, DATEADD(MINUTE, number, #DateTime1)) AS Years, DATEPART(HOUR, DATEADD(MINUTE,
number, #DateTime1)) AS Hours, DATEPART(MINUTE, DATEADD(MINUTE, number, #DateTime1)) AS Minute, CAST(DATEADD(MINUTE, number, #DateTime1)
AS DATE) AS Date, CAST(DATEADD(MINUTE, number, #DateTime1) AS TIME) AS Time
FROM master.dbo.spt_values
WHERE (type = 'P') AND (DATEPART(MINUTE, DATEADD(MINUTE, number, #DateTime1)) = 30 OR DATEPART(MINUTE, DATEADD(MINUTE, number, #DateTime1)) = 0) AND (DATEADD(MINUTE, number, #DateTime1) <= #DateTime2)
ORDER BY number
A tally table is a great way to deal with this type of thing. I keep one in a view to avoid using spt_values.
create View [dbo].[cteTally] as
WITH
E1(N) AS (select 1 from (values (1),(1),(1),(1),(1),(1),(1),(1),(1),(1))dt(n)),
E2(N) AS (SELECT 1 FROM E1 a, E1 b), --10E+2 or 100 rows
E4(N) AS (SELECT 1 FROM E2 a, E2 b), --10E+4 or 10,000 rows max
cteTally(N) AS
(
SELECT ROW_NUMBER() OVER (ORDER BY (SELECT NULL)) FROM E4
)
select N from cteTally
Then your code becomes really simple too. A small amount of datemath and voila.
declare #DateTime1 datetime = '2016/11/24 18:00:00'
, #DateTime2 datetime = '2016/11/25 06:00:00'
select FORMAT(DATEADD(minute, (t.N - 1) * 30, #DateTime1), 'dd-HH:mm')
from cteTally t
where t.N <= (DATEDIFF(hour, #DateTime1, #DateTime2) * 2) + 1
I have a TVF which generates dynamic date/time ranges. It is faster than a recursive cte, and I think more flexible. You pass the date range, desired DatePart, and increment.
Declare #DateTime1 DateTime = '2016-11-24 18:00:00'
Declare #DateTime2 DateTime = '2016-11-25 06:00:00'
Select Format(RetVal,'dd-HH:mm') from [dbo].[udf-Range-Date](#DateTime1,#DateTime2,'MI',30)
Returns
24-18:00
24-18:30
24-19:00
24-19:30
24-20:00
24-20:30
24-21:00
24-21:30
24-22:00
24-22:30
24-23:00
24-23:30
25-00:00
....
25-04:30
25-05:00
25-05:30
25-06:00
The UDF if needed
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)
*/
using a recursive Common Table Expression [CTE] is one pretty clean method. For the formatting I am showing FORMAT() from SQL-Server 2012+ you may consider using DATEPART etc to do it though as FORMAT() can have performance impact.
I do agree with #RossBush's comment if you do things like this a lot generating a calendar (dates) and a time dimensions is very helpful for these purposes.
DECLARE #DateTime1 DATETIME = '2016/11/24 18:00:00'
DECLARE #DateTime2 DATETIME = '2016/11/25 06:00:00'
;WITH cte30MinIncrements AS (
SELECT #DateTime1 as DT
UNION ALL
SELECT DATEADD(MINUTE,30,DT)
FROM
cte30MinIncrements
WHERE DATEADD(MINUTE,30,DT) <= #DateTime2
)
SELECT
*
,FORMAT(DT,'dd-HH:mm') as Formated
FROM
cte30MinIncrements
Please see if this works.
declare #DateTime1 DateTime = '2016-11-24 18:00:00'
declare #DateTime2 DateTime = '2016-11-25 18:00:00'
declare #Interval DateTime = #DateTime1
declare #vartmptable table(DT DateTime)
While (#Interval < #DateTime2)
begin
--select #Interval, FORMAT(#Interval,'dd-HH:mm')
insert into #vartmptable select #Interval
set #Interval = DATEADD(mi,30,#Interval)
end
select FORMAT(DT,'dd-HH:mm') from #vartmptable
What about this? You can use variables/ fixed values as necessary.
WITH CTE_Numbers
AS (
SELECT n = 1
UNION ALL
SELECT n + 1
FROM CTE_Numbers
WHERE n < 100
)
SELECT FORMAT(DATEADD(mi, n * 30, '2016/11/03'),'dd-HH:mm')
FROM CTE_Numbers
I have the following MS SQL Server query that returns the SUM at a certain date (2016-06-22) :
SELECT SUM(Value) FROM Sales
WHERE EndDate>='2016-06-22' AND StartDate<'2016-06-22'
I'm trying to display the SUM for every day of a chosen interval.
What I want can be done like this:
SELECT
(SELECT SUM(Value) FROM Sales WHERE EndDate>='2016-06-01' AND StartDate<'2016-06-01'),
(SELECT SUM(Value) FROM Sales WHERE EndDate>='2016-06-02' AND StartDate<'2016-06-02'),
....
(SELECT SUM(Value) FROM Sales WHERE EndDate>='2016-06-30' AND StartDate<'2016-06-30')
I want it to be done in a more elegant way.
I use a UDF to create Dynamic Date Ranges (listed below). You could also use a Numbers or Tally table as will
Select DateR1
,SomeTotal = sum(Value)
From Aales A
Join (Select DateR1=RetVal,DateR2=DateAdd(DD,1,RetVal) from [dbo].[udf-Create-Range-Date]('2016-06-01','2016-06-30','DD',1)) B
on SalesDate Between DateR1 and DateR2 and SalesDate<DateR2
Group By DateR1
Order By DateR1
The UDF
CREATE FUNCTION [dbo].[udf-Create-Range-Date] (#DateFrom datetime,#DateTo datetime,#DatePart varchar(10),#Incr int)
Returns
#ReturnVal Table (RetVal datetime)
As
Begin
With DateTable As (
Select DateFrom = #DateFrom
Union All
Select Case #DatePart
When 'YY' then DateAdd(YY, #Incr, df.dateFrom)
When 'QQ' then DateAdd(QQ, #Incr, df.dateFrom)
When 'MM' then DateAdd(MM, #Incr, df.dateFrom)
When 'WK' then DateAdd(WK, #Incr, df.dateFrom)
When 'DD' then DateAdd(DD, #Incr, df.dateFrom)
When 'HH' then DateAdd(HH, #Incr, df.dateFrom)
When 'MI' then DateAdd(MI, #Incr, df.dateFrom)
When 'SS' then DateAdd(SS, #Incr, df.dateFrom)
End
From DateTable DF
Where DF.DateFrom < #DateTo
)
Insert into #ReturnVal(RetVal) Select DateFrom From DateTable option (maxrecursion 32767)
Return
End
-- Syntax Select * from [dbo].[udf-Create-Range-Date]('2016-10-01','2020-10-01','YY',1)
-- Syntax Select * from [dbo].[udf-Create-Range-Date]('2016-10-01','2020-10-01','DD',1)
-- Syntax Select * from [dbo].[udf-Create-Range-Date]('2016-10-01','2016-10-31','MI',15)
-- Syntax Select * from [dbo].[udf-Create-Range-Date]('2016-10-01','2016-10-02','SS',1)
You can group by startdate or enddate. This assumes that either your startdate or enddate is the only date field relevant- not both. But you can adjust it if you have sales figures that span multiple days.
ex:
SELECT enddate,SUM(Value) FROM Sales WHERE EndDate>='2016-01-01' AND StartDate<'2016-1-03'
GROUP BY enddate