Get sum of qty based on hour window - sql

Question

I'm working on a problem to figure out how much qty of product was created and dispatched between certain hours. For example, I need to see how much was created (by created I mean how many orders were created with X qty) between 6pm today and 3pm tomorrow. I'm trying to create a time bin for this but whatever I try isn't working out.
select CREATE_DATE
, CREATE_TIME
, RELEASED_DATE
, RELEASED_TIME
, sum(case
when CREATE_DATE = DATEADD(DAY, DATEDIFF(DAY, 0, CREATE_DATE), 0)
and CREATE_TIME >= '18:00:00' AND CREATE_DATE = DATEADD(DAY, DATEDIFF(DAY, 0, CREATE_DATE), 1)
then ORDER_QTY
when CREATE_DATE = DATEADD(DAY, DATEDIFF(DAY, 0, CREATE_DATE), 1)
and CREATE_TIME <= '14:59:59'
then ORDER_QTY
end) as small_window_qty
, sum(ORDER_QTY) as ord_qty
, sum(RELEASED_QTY) as rls_qty
from table
Any help with this would be appreciated. Just need a way to organize the days into the following buckets: Normal Hour Window = Created 6pm to 6pm; Smaller Hour Window = Created 6pm to 3pm; Agreed Upon = Dispatch by 3pm (12am to 3pm)
Edit: Some clarification. What im trying to accomplish is a root cause analysis. We have orders that create every day, and must ship within 2 days of being created. We're trying to figure out why our orders are not shipping on time. So as an RCA, Im trying to dig into the orders, when they were created, when they were dispatched(or released, same thing) and when they shipped. The Hour Window's mentioned above are cutoff times for orders to be created for a certain day. Example:
300 units were created today, and they must ship 2 days from now. I want to see, of that 300 created, how many were created before 3pm, and of that, how much dispatched by 3pm same day. Hope that clarifies things. Not everything that is created must be dispatched the same day, as we have 2 days to ship the orders.

Answer 1

you're leaving a lot of info out so i'm filling in the blanks and making assumptions here. doublecheck that my data types line up with your data types.
create table sales (create_date date, create_time time, released_date date, released_time time, qty int)
insert sales
select '1/14/13','18:45','1/15/13','10:45', 10
union all
select '1/14/13','19:45','1/15/13','12:45', 12
union all
select '1/15/13','19:15','1/16/13','16:45', 6
union all
select '1/15/13','18:00','1/16/13','14:45', 25
union all
select '1/15/13','18:45','1/16/13','15:00', 3
union all
select '1/16/13','19:45','1/17/13','16:30', 1
union all
select '1/16/13','20:45','1/17/13','17:45', 9
union all
select '1/17/13','18:30','1/18/13','18:00', 17
union all
select '1/18/13','18:30','1/19/13','17:15', 15
union all
select '1/18/13','18:45','1/19/13','19:15', 21
with base as
(
select *
, cast(create_date as datetime) + cast(create_time as datetime) as createtime
, cast(released_date as datetime) + cast(released_time as datetime) as releasetime
, datediff(hour,cast(create_date as datetime) + cast(create_time as datetime),cast(released_date as datetime) + cast(released_time as datetime)) as hrs
from sales
),
base2 as
(
select qty
, case
when create_time >= '18:00' and hrs <= 21 then 'small'
when create_time >= '18:00' and hrs <= 24 then 'normal'
else 'outside'
end as orderwindow
, case
when hrs between 6 and 21 then 'pass'
else 'fail'
end as agreedupon
from base
)
select sum(qty) as qty, orderwindow, agreedupon
from base2
group by orderwindow, agreedupon
drop table sales
this should give you the end result of being able to tell how much was created, what window of time it falls into, and if released by 3pm. adjust as needed.
i didn't want the code to get messy and convoluted so i used 2 CTEs.

Answer 2

I am not sure about your expected result and also your input data looks messay and not clear. So I used the data provided by the above answer. It looks you get running sum. If you can review the answer and get back to me if you need more modifications that is good. I suggest you to edit your Question and be more clear with your sample data and expected answer. Add more details to the question.
create table sales (create_date date, create_time time, released_date date, released_time time, qty int)
INSERT INTO sales
select '1/14/13','18:45','1/15/13','10:45', 10
union all
select '1/14/13','19:45','1/15/13','12:45', 12
union all
select '1/15/13','19:15','1/16/13','16:45', 6
union all
select '1/15/13','18:00','1/16/13','14:45', 25
union all
select '1/15/13','18:45','1/16/13','15:00', 3
union all
select '1/16/13','19:45','1/17/13','16:30', 1
union all
select '1/16/13','20:45','1/17/13','17:45', 9
union all
select '1/17/13','18:30','1/18/13','18:00', 17
union all
select '1/18/13','18:30','1/19/13','17:15', 15
union all
select '1/18/13','18:45','1/19/13','19:15', 21
SELECT
create_date
, create_time
, released_date
, released_time
,SUM(QTY) OVER ( PARTITION BY A.[Dispatched Window] ORDER BY released_date ) AS [Sum_qty]
,Qty
FROM
(
SELECT
create_date
, create_time
, released_date
, released_time
, CASE WHEN released_date BETWEEN CONVERT(DATETIME, CONVERT(CHAR(8), create_date, 112) + ' ' + CONVERT(CHAR(8), '18:00:00.0000000' , 108)) AND CONVERT(DATETIME, CONVERT(CHAR(8), DATEADD(DAY,1, create_date), 112) + ' ' + CONVERT(CHAR(8), '18:00:00.0000000' , 108)) THEN 'Normal Window'
WHEN released_date BETWEEN CONVERT(DATETIME, CONVERT(CHAR(8), create_date, 112) + ' ' + CONVERT(CHAR(8), '17:59:00.0000000' , 108)) AND CONVERT(DATETIME, CONVERT(CHAR(8), DATEADD(DAY,1, create_date), 112) + ' ' + CONVERT(CHAR(8), '15:00:00.0000000' , 108)) THEN 'Smaller Window'
WHEN released_date BETWEEN CONVERT(DATETIME, CONVERT(CHAR(8), create_date, 112) + ' ' + CONVERT(CHAR(8), '00:00:00.0000000' , 108)) AND CONVERT(DATETIME, CONVERT(CHAR(8), create_date, 112) + ' ' + CONVERT(CHAR(8), '15:00:00.0000000' , 108)) THEN 'Aggreed AUpon'
ELSE 'N/A'
END AS [Dispatched Window]
, Qty
FROM dbo.sales
) AS A