grouping results based on time diff in sql - sql

Question

I have results like this
TimeDiffMin | OrdersCount
10 | 2
12 | 5
09 | 6
20 | 15
27 | 11
I would like the following
TimeDiffMin | OrdersCount
05 | 0
10 | 8
15 | 5
20 | 15
25 | 0
30 | 11
So you can see that i want the grouping of every 5 minutes and show the total order count in those 5 minutes. eg. 0-5 minutes 0 orders, 5-10 minutes 8 orders
any help would be appreciated.
current query:
SELECT TimeDifferenceInMinutes, count(OrderId) NumberOfOrders FROM (
SELECT AO.OrderID, AO.OrderDate, AON.CreatedDate AS CancelledDate, DATEDIFF(minute, AO.OrderDate, AON.CreatedDate) AS TimeDifferenceInMinutes
FROM
(SELECT OrderID, OrderDate FROM AC_Orders) AO
JOIN
(SELECT OrderID, CreatedDate FROM AC_OrderNotes WHERE Comment LIKE '%has been cancelled.') AON
ON AO.OrderID = AON.OrderID
WHERE DATEDIFF(minute, AO.OrderDate, AON.CreatedDate) <= 100 AND AO.OrderDate >= '2016-12-01'
) AS Temp1
GROUP BY TimeDifferenceInMinutes

Answer 1

Now, if you are open to a TVF.
I use this UDF to create dynamic Date/Time Ranges. You supply the range and increment
Declare #YourTable table (TimeDiffMin int,OrdersCount int)
Insert Into #YourTable values
(10, 2),
(12, 5),
(09, 6),
(20,15),
(27,11)
Select TimeDiffMin = cast(R2 as int)
,OrdersCount = isnull(sum(OrdersCount),0)
From (Select R1=RetVal,R2=RetVal+5 From [dbo].[udf-Range-Number](0,25,5)) A
Left Join (
-- Your Complicated Query
Select * From #YourTable
) B on TimeDiffMin >= R1 and TimeDiffMin<R2
Group By R1,R2
Order By 1
Returns
TimeDiffMin OrdersCount
5 0
10 6
15 7
20 0
25 15
30 11
The UDF if interested
CREATE FUNCTION [dbo].[udf-Range-Number] (#R1 money,#R2 money,#Incr money)
Returns Table
Return (
with cte0(M) As (Select cast((#R2-#R1)/#Incr as int)),
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 )
Select RetSeq=1,RetVal=#R1 Union All Select N+1,(N*#Incr)+#R1
From cte2
)
-- Max 100 million observations
-- Select * from [dbo].[udf-Range-Number](0,4,0.25)

Answer 2

You can do this using a derived table to first build up your time difference windows and then joining from that to sum up all the Orders that fall within that window.
declare #t table(TimeDiffMin int
,OrdersCount int
);
insert into #t values
(10, 2)
,(12, 5)
,(09, 6)
,(20,15)
,(27,11);
declare #Increment int = 5; -- Set your desired time windows here.
with n(n)
as
( -- Select 10 rows to start with:
select n from(values(1),(1),(1),(1),(1),(1),(1),(1),(1),(1)) as n(n)
),n2 as
( -- CROSS APPLY these 10 rows to get 10*10=100 rows we can use to generate incrementing ROW_NUMBERs. Use more CROSS APPLYs to get more rows:
select (row_number() over (order by (select 1))-1) * #Increment as StartMin
,(row_number() over (order by (select 1))) * #Increment as EndMin
from n -- 10 rows
cross apply n n2 -- 100 rows
--cross apply n n3 -- 1000 rows
--cross apply n n4 -- 10000 rows
)
select m.EndMin as TimeDiffMin
,isnull(sum(t.OrdersCount),0) as OrdersCount
from n2 as m
left join #t t
on(t.TimeDiffMin >= m.StartMin
and t.TimeDiffMin < m.EndMin
)
where m.EndMin <= 30 -- Filter as required
group by m.EndMin
order by m.EndMin
Query result:
TimeDiffMin OrdersCount
5 0
10 6
15 7
20 0
25 15
30 11