How to generate minute intervals between two dates in T-SQL? - sql-server

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

How do I can divide a day in 30 minutes intervals in SQL server for a single date or multiple days like a month [duplicate]

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

T-SQL - DateTime Gap Distribution

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)
*/

How can I get first day of from YYYYWW in tsql

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)
*/

mssql 30 minute time intervals beteen 2 datetime

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

Query SUM for each day for given interval

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

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