Combine results of two queries with the same value into one row - sql-server

Here is my query:
select fldUserId, count(*) AS TOTAL
from tblWorkHistory
where fldStatus = '1'
group by fldUserId
union
select fldEmpID, count(*) AS TOTAL
from tblQAHistory
where fldStatus = '1'
group by fldEmpID
Output:
fldUserId TOTAL
16070004 34
19100015 1
19100015 7
191014571 3
I want to combine both rows with '19100015' into one row.


Use your query as a sub-query:
with cte as (
select fldUserId, count(*) as TOTAL
from tblWorkHistory
where fldStatus = '1'
group by fldUserId
union
select fldEmpID, count(*)
from tblQAHistory
where fldStatus = '1'
group by fldEmpID
)
select fldUserId, sum(TOTAL) as TOTAL
from cte
group by fldUserId


An alternative is to group just once on the outside
select
t.fldUserId,
count(*) as TOTAL
from (
select fldUserId
from tblWorkHistory
where fldStatus = '1'
union all
select fldEmpID
from tblQAHistory
where fldStatus = '1'
) t
group by
t.fldUserId;

Related

Summation of the Grand total

I have the below requirement
As can be figure out that for every Collector whenever the SubProduct is changing, we are performing it's "SubTotal".
Once the "SubTotal" is over, then we are performing the "Product Total" which is the summation of the "SubProducts" for that collector at the Product level (means until the Product is changed).
and finally, "Grand Total" of that Collector's Product
e.g.
Collector Amreet has 2 Products (NCB and NCT). For NCB he has 2 subProducts viz. Credit Card and Loan. His Product Total is computed at both NCB and NCT level and Grand Total for all the products.
Same is the case for the collector "Vijay"
I have written the below code which is very close to the requirement only thing is that, I'm not able to Add/append Collector Name at the Grand Total Level.
My attempt so far
declare #t table(Collector varchar(50),Product varchar(50),SubProduct varchar(50),Amount int)
Insert into #t
select 'Vijay','NCB','Credit Card',8000 union all
select 'Vijay','NCB','Credit Card',2000 union all
select 'Vijay','NCB','Credit Card',17000 union all
select 'Vijay','NCB','Credit Card',5000 union all
select 'Vijay','NCB','Loan',15000 union all
select 'Vijay','NCB','Loan',5000 union all
select 'Amreet','NCB','Credit Card',3000 union all
select 'Amreet','NCB','Credit Card',1000 union all
select 'Amreet','NCB','Loan',45000 union all
select 'Amreet','NCB','Loan',9000 union all
select 'Amreet','NCT','Loan',1000 union all
select 'Amreet','NCT','Loan',2000
Select
*
from
(select
case when grouping(Rn) = 1 then '' else Collector end as Collector,
case when grouping(Rn) = 1 then '' else Product end as Product,
case
when grouping(Collector) = 0 and grouping(Product) = 1 and grouping(SubProduct) = 1 and grouping(Rn) = 1 then 'Grand Total'
when grouping(Collector) = 0 and grouping(Product) = 0 and grouping(SubProduct) = 1 and grouping(Rn) = 1 then 'Total(Product Total)'
when grouping(Collector) = 0 and grouping(Product) = 0 and grouping(SubProduct) = 0 and grouping(Rn) = 1 then 'SubTotal(Sub Product Total)'
else SubProduct end as SubProduct,
sum(Amount) as Amount
from
(select
*,
Rn = row_number() over(partition by Collector,Product,SubProduct order by 1/0)
from #t) tData
group by
rollup(Collector,Product,SubProduct, Rn))x
where x.SubProduct is not null
Output

Please check this one. Here I've added in one things.
declare #t table(Collector varchar(50),Product varchar(50),SubProduct varchar(50),Amount int)
Insert into #t
select 'Vijay','NCB','Credit Card',8000 union all
select 'Vijay','NCB','Credit Card',2000 union all
select 'Vijay','NCB','Credit Card',17000 union all
select 'Vijay','NCB','Credit Card',5000 union all
select 'Vijay','NCB','Loan',15000 union all
select 'Vijay','NCB','Loan',5000 union all
select 'Amreet','NCB','Credit Card',3000 union all
select 'Amreet','NCB','Credit Card',1000 union all
select 'Amreet','NCB','Loan',45000 union all
select 'Amreet','NCB','Loan',9000 union all
select 'Amreet','NCT','Loan',1000 union all
select 'Amreet','NCT','Loan',2000
Select
*
from
(select
case when grouping(Rn) = 1 then '' else Collector end as Collector,
case when grouping(Rn) = 1 then '' else Product end as Product,
case
when grouping(Collector) = 0 and grouping(Product) = 1 and grouping(SubProduct) = 1 and grouping(Rn) = 1 then 'Grand Total (' + Collector + ')'
when grouping(Collector) = 0 and grouping(Product) = 0 and grouping(SubProduct) = 1 and grouping(Rn) = 1 then 'Total(Product Total)'
when grouping(Collector) = 0 and grouping(Product) = 0 and grouping(SubProduct) = 0 and grouping(Rn) = 1 then 'SubTotal(Sub Product Total)'
else SubProduct end as SubProduct,
sum(Amount) as Amount
from
(select
*,
Rn = row_number() over(partition by Collector,Product,SubProduct order by 1/0)
from #t) tData
group by
ROLLUP(Collector,Product,SubProduct, Rn))x
where x.SubProduct is not null;

Distinct Count when using Case When

I am having trouble getting the correct distinct count when using case when and distinct in SQL Server.
I have a column for count(distinct TA_STUDENT_ID) which calculates the correct count. I then have 2 additional columns in which I am doing a count by TA_LOCATION and the totals for the numbers on each row under TA_LOCATION need to add up to the COUNT of the DISTINCT TA_STUDENT_ID. I need help to get it to do that. Here is my query:
SELECT
count (distinct TA_STUDENT_ID) as 'count',
COUNT (CASE WHEN (TA_LOCATION = 'CCC') THEN 'CCC' END) AS 'CCC',
COUNT(CASE WHEN (TA_LOCATION = 'SCCDC') THEN 'SCCDC' END) AS 'SCCDC',
[TA_AW_ID]
FROM [S85_TA_ACYR]
group by [TA_AW_ID]
order by [TA_AW_ID]
My desired results are that the totals on each row in the TA_LOCATION columns should total and match the numbers on the rows in my COUNT DISTINCT TA_STUDENT_ID column.

Use DISTINCT inside COUNT() with CASE expression :
SELECT COUNT(DISTINCT TA_STUDENT_ID) as 'count',
COUNT(DISTINCT CASE WHEN (TA_LOCATION = 'CCC') THEN TA_STUDENT_ID END) AS 'CCC',
COUNT(DISTINCT CASE WHEN (TA_LOCATION = 'SCCDC') THEN TA_STUDENT_ID END) AS 'SCCDC',
[TA_AW_ID]
FROM [S85_TA_ACYR]
GROUP BY [TA_AW_ID]
ORDER BY [TA_AW_ID];

You can also use a SUM() for the second two fields, like this:
SELECT
Count = COUNT(DISTINCT TA_STUDENT_ID)
,CCC = SUM(CASE WHEN ( TA_LOCATION = 'CCC' ) THEN 1 ELSE 0 END)
,SCCDC = SUM(CASE WHEN ( TA_LOCATION = 'SCCDC' ) THEN 1 ELSE 0 END)
,TA_AW_ID
FROM S85_TA_ACYR
GROUP BY TA_AW_ID
ORDER BY TA_AW_ID

SQL Server 2016 - Running Count and Sum for a 24 hours sliding window

I am trying to count orders over a 24 hours sliding window. I have a 'detetime' field and I'm calculating the 24 hours window aggregating at the minute level. It should re-start counting every time the order time between two consecutive orders is over 1440 minutes or when the running time of consecutive orders is over 1440 minutes.
Environment is SQL server 2016, I can create Temp tables but no physical tables and no memory-optimized objects (I guess anything working on 2012+ should work).
I tried an inner join on the same table and tested with recursive CTEs, ROW_NUMBER etc. but the issue is that there is never a set number of rows for the 24 hours window and the base time from which to calculate the start of the period changes. The only constant I have is the 24 hours time span.
Tried the following:
https://www.red-gate.com/simple-talk/sql/t-sql-programming/calculating-values-within-a-rolling-window-in-transact-sql/
Calculate running total / running balance
Cross apply seems to be working for the most part but in some instances - when calculating the running 24 hours window - it isn't. I tried changing the datetime conditions in the WHERE clause in many ways but I still can't figure out how to get it to work correctly.
I thought about creating a reset event at the 24 hours mark as showed here https://blog.jooq.org/2015/05/12/use-this-neat-window-function-trick-to-calculate-time-differences-in-a-time-series/ but at this point my brain is melting and I can't even get the logic straight.
DROP TABLE IF EXISTS #Data
CREATE TABLE #Data
(
START_TIME DATETIME
,ORDER_ID NUMERIC(18,0)
,PROD_ID NUMERIC(18,0)
,ACC_ID NUMERIC(18,0)
);
INSERT INTO #Data
SELECT '2018-06-22 11:00:00.000', 198151606, 58666, 1601554883
UNION ALL SELECT '2018-07-09 10:15:00.000',2008873061,58666,1601554883
UNION ALL SELECT '2018-07-09 12:33:00.000',2009269222,58666,1601554883
UNION ALL SELECT '2018-07-10 08:29:00.000',2010735393,58666,1601554883
UNION ALL SELECT '2018-07-10 10:57:00.000',2010735584,58666,1601554883
UNION ALL SELECT '2018-06-27 23:53:00.000',1991467555,58666,2300231016
UNION ALL SELECT '2018-06-28 00:44:00.000',1991583916,58666,2300231016
UNION ALL SELECT '2018-07-04 04:15:00.000',2001154497,58666,2300231016
UNION ALL SELECT '2018-07-04 15:44:00.000',2001154818,58666,2300231016
UNION ALL SELECT '2018-07-04 21:30:00.000',2002057919,58666,2300231016
UNION ALL SELECT '2018-07-05 02:09:00.000',1200205808,58666,2300231016
UNION ALL SELECT '2018-07-05 04:15:00.000',2200205814,58666,2300231016
UNION ALL SELECT '2018-07-05 17:23:00.000',3200370070,58666,2300231016
UNION ALL SELECT '2018-07-05 18:07:00.000',4200370093,58666,2300231016
UNION ALL SELECT '2018-07-06 20:15:00.000',5200571962,58666,2300231016
UNION ALL SELECT '2018-07-07 07:45:00.000',6200571987,58666,2300231016
UNION ALL SELECT '2018-07-07 12:13:00.000',7200571993,58666,2300231016
UNION ALL SELECT '2018-07-09 18:29:00.000',8200939551,58666,2300231016
UNION ALL SELECT '2018-07-09 21:05:00.000',9200939552,58666,2300231016
UNION ALL SELECT '2018-07-11 21:31:00.000',2011107311,58666,2300231016
UNION ALL SELECT '2018-06-27 18:23:00.000',1991016382,58669,2300231016
UNION ALL SELECT '2018-06-27 19:07:00.000',1991181363,58669,2300231016
UNION ALL SELECT '2018-06-27 19:28:00.000',1991181374,58669,2300231016
UNION ALL SELECT '2018-06-28 01:44:00.000',1991583925,58669,2300231016
UNION ALL SELECT '2018-06-28 02:19:00.000',1991583946,58669,2300231016
UNION ALL SELECT '2018-07-03 10:15:00.000',1999231747,58669,2300231016
UNION ALL SELECT '2018-07-03 10:45:00.000',2000293678,58669,2300231016
UNION ALL SELECT '2018-07-03 14:22:00.000',200029380,58669,2300231016
UNION ALL SELECT '2018-07-04 19:45:00.000',2002057789,58669,2300231016
UNION ALL SELECT '2018-07-04 21:00:00.000',1200205781,58669,2300231016
UNION ALL SELECT '2018-07-05 15:12:00.000',2200254833,58669,2300231016
UNION ALL SELECT '2018-07-05 17:52:00.000',3200370071,58669,2300231016
UNION ALL SELECT '2018-07-09 22:30:00.000',4200939553,58669,2300231016
UNION ALL SELECT '2018-07-09 23:23:00.000',5200939566,58669,2300231016
UNION ALL SELECT '2018-07-30 17:45:00.000',6204364207,58666,2300231016
UNION ALL SELECT '2018-07-30 23:30:00.000',7204364211,58666,2300231016
;WITH TimeBetween AS(
SELECT
ACC_ID
,PROD_ID
,ORDER_ID
,START_TIME
,TIME_BETWEEN_ORDERS = COALESCE(CASE WHEN DATEDIFF(MINUTE, LAG(START_TIME) OVER(PARTITION BY ACC_ID, PROD_ID
ORDER BY START_TIME), START_TIME) >= 1440
THEN 0
ELSE DATEDIFF(MINUTE, LAG(START_TIME) OVER(PARTITION BY ACC_ID, PROD_ID
ORDER BY START_TIME), START_TIME)
END, 0)
FROM #Data
)
SELECT
TimeBetween.ACC_ID
,TimeBetween.PROD_ID
,TimeBetween.ORDER_ID
,TimeBetween.START_TIME
,TIME_BETWEEN_ORDERS
--Not working correctly, repeats the previous time at the end of the window when it should be 0.
,RUNNING_TIME_BETWEEN_ORDERS = SUM(TIME_BETWEEN_ORDERS) OVER(PARTITION BY ACC_ID, PROD_ID ORDER BY START_TIME)
,Running24h.*
FROM TimeBetween
CROSS APPLY(SELECT TOP 1
RUNNING_COUNT_24h = COUNT(*) OVER() --Count admin units within the time window in the WHERE clause
--Check what APPLY is returning for running time
,RUNNING_TIME_BETWEEN_ORDERS_Apply = DATEDIFF(MINUTE, StageBaseApply.START_TIME, TimeBetween.START_TIME)
--Check what APPLY is using as base event anchor for the calculation
,START_TIME_Apply = StageBaseApply.START_TIME
FROM #Data AS StageBaseApply
WHERE
StageBaseApply.ACC_ID = TimeBetween.ACC_ID
AND StageBaseApply.PROD_ID = TimeBetween.PROD_ID
AND (StageBaseApply.START_TIME > DATEADD(MINUTE, -1440, TimeBetween.START_TIME)
AND StageBaseApply.START_TIME <= TimeBetween.START_TIME
)
ORDER BY StageBaseApply.START_TIME
) AS Running24h
ORDER BY ACC_ID,PROD_ID, START_TIME
When the running time between orders is over 24 hours the running count should re-start from 1.
Currently it repeats the last value and the time it's using for the calculation seems to be off.
Current result from CROSS APPLY with notes on where it's not working and what it should be for what I'm trying to achieve

First create a Numbers table with at least as many rows as the minutes in the maximum time range you will ever be dealing with
CREATE TABLE dbo.Numbers(Number INT PRIMARY KEY);
WITH E1(N) AS
(
SELECT 1 UNION ALL SELECT 1 UNION ALL SELECT 1 UNION ALL
SELECT 1 UNION ALL SELECT 1 UNION ALL SELECT 1 UNION ALL
SELECT 1 UNION ALL SELECT 1 UNION ALL SELECT 1 UNION ALL SELECT 1
) -- 1*10^1 or 10 rows
, E2(N) AS (SELECT 1 FROM E1 a, E1 b) -- 1*10^2 or 100 rows
, E4(N) AS (SELECT 1 FROM E2 a, E2 b) -- 1*10^4 or 10,000 rows
, E8(N) AS (SELECT 1 FROM E4 a, E4 b) -- 1*10^8 or 100,000,000 rows
, Nums AS (SELECT TOP (10000000) ROW_NUMBER() OVER (ORDER BY (SELECT NULL)) AS N FROM E8)
INSERT INTO dbo.Numbers
SELECT N
FROM Nums
And then you should be able to use something like this (I'm assuming that all start times are exact minutes and there are no duplicates per ACC_ID,PROD_ID,START_TIME as shown in your example data, if there are you will need to pre-aggregate at the minute level before participating in the left join)
WITH G
AS (SELECT ACC_ID,
PROD_ID,
MIN = MIN(START_TIME),
MAX = MAX(START_TIME),
Range = DATEDIFF(MINUTE, MIN(START_TIME), MAX(START_TIME))
FROM #Data
GROUP BY ACC_ID,
PROD_ID),
E
AS (SELECT *
FROM G
JOIN dbo.Numbers N
ON N.Number <= Range + 1),
R AS (SELECT E.ACC_ID,
E.PROD_ID,
D.START_TIME,
Cnt = COUNT(D.START_TIME) OVER (PARTITION BY E.ACC_ID, E.PROD_ID
ORDER BY DATEADD(MINUTE, NUMBER-1, MIN)
ROWS BETWEEN 1439 PRECEDING AND CURRENT ROW)
FROM E
LEFT JOIN #Data D
ON D.ACC_ID = E.ACC_ID
AND D.PROD_ID = E.PROD_ID
AND D.START_TIME = DATEADD(MINUTE, NUMBER-1, MIN) )
SELECT *
FROM R
WHERE START_TIME IS NOT NULL
ORDER BY ACC_ID,
PROD_ID,
START_TIME

After finding this post on how to reset a running sum, I think I may have finally been able to crack this nut. Not sure about how well it scales but it is working.
I also added a new column for order quantity since it may be useful sometimes to track the orders running total during the same time window.
The sliding time window can be set in this CASE statement:
CASE WHEN RunningOrders.LAG_LESS_THAN_24h + NextEventLag.NEXT_ORDER_TIME_LAG >= 1440 THEN 0 ELSE RunningOrders.LAG_LESS_THAN_24h + NextEventLag.NEXT_ORDER_TIME_LAG
END
DROP TABLE IF EXISTS #Data
CREATE TABLE #Data
(
ORDER_TIME DATETIME
,ORDER_ID NUMERIC(18,0)
,PROD_ID NUMERIC(18,0)
,ACCOUNT_ID NUMERIC(18,0)
,ORDER_QUANTITY INT
);
INSERT INTO #Data
SELECT '2018-06-22 11:00:00.000', 1981516061, 158666, 1601554883,5
UNION ALL SELECT '2018-07-09 10:15:00.000',2008873062,158666,1601554883,3
UNION ALL SELECT '2018-07-09 12:33:00.000',2009269223,158666,1601554883,2
UNION ALL SELECT '2018-07-10 08:29:00.000',2010735394,158666,1601554883,4
UNION ALL SELECT '2018-07-10 10:57:00.000',2010735584,158666,1601554883,7
UNION ALL SELECT '2018-06-27 23:53:00.000',1991467553,158666,2300231016,6
UNION ALL SELECT '2018-06-28 00:44:00.000',1991583913,158666,2300231016,6
UNION ALL SELECT '2018-07-04 04:15:00.000',2001154492,158666,2300231016,4
UNION ALL SELECT '2018-07-04 15:44:00.000',2001154814,158666,2300231016,5
UNION ALL SELECT '2018-07-04 21:30:00.000',2002057915,158666,2300231016,4
UNION ALL SELECT '2018-07-05 02:09:00.000',2002058086,158666,2300231016,4
UNION ALL SELECT '2018-07-05 04:15:00.000',2002058147,158666,2300231016,3
UNION ALL SELECT '2018-07-05 17:23:00.000',2003700706,158666,2300231016,2
UNION ALL SELECT '2018-07-05 18:07:00.000',2003700938,158666,2300231016,1
UNION ALL SELECT '2018-07-06 20:15:00.000',2005719626,158666,2300231016,7
UNION ALL SELECT '2018-07-07 07:45:00.000',2005719879,158666,2300231016,8
UNION ALL SELECT '2018-07-07 12:13:00.000',2005719931,158666,2300231016,9
UNION ALL SELECT '2018-07-09 18:29:00.000',2009395510,158666,2300231016,8
UNION ALL SELECT '2018-07-09 21:05:00.000',2009395523,158666,2300231016,6
UNION ALL SELECT '2018-07-11 21:31:00.000',2011107312,158666,2300231016,5
UNION ALL SELECT '2018-06-27 18:23:00.000',1991016381,258669,2300231016,4
UNION ALL SELECT '2018-06-27 19:07:00.000',1991181365,258669,2300231016,4
UNION ALL SELECT '2018-06-27 19:28:00.000',1991181376,258669,2300231016,3
UNION ALL SELECT '2018-06-28 01:44:00.000',1991583923,258669,2300231016,9
UNION ALL SELECT '2018-06-28 02:19:00.000',1991583943,258669,2300231016,2
UNION ALL SELECT '2018-07-03 10:15:00.000',1999231742,258669,2300231016,1
UNION ALL SELECT '2018-07-03 10:45:00.000',2000293679,258669,2300231016,1
UNION ALL SELECT '2018-07-03 14:22:00.000',2000293804,258669,2300231016,3
UNION ALL SELECT '2018-07-04 19:45:00.000',2002057785,258669,2300231016,2
UNION ALL SELECT '2018-07-04 21:00:00.000',2002057813,258669,2300231016,1
UNION ALL SELECT '2018-07-05 15:12:00.000',2002548332,258669,2300231016,7
UNION ALL SELECT '2018-07-05 17:52:00.000',2003700719,258669,2300231016,6
UNION ALL SELECT '2018-07-09 22:30:00.000',2009395530,258669,2300231016,5
UNION ALL SELECT '2018-07-09 23:23:00.000',2009395666,258669,2300231016,3
UNION ALL SELECT '2018-07-30 17:45:00.000',2043642075,158666,2300231016,2
UNION ALL SELECT '2018-07-30 23:30:00.000',2043642114,158666,2300231016,4
;WITH NextEventLag AS(
--Returns the next event information.
SELECT
ORDER_TIME
,ORDER_ID
,PROD_ID
,ACCOUNT_ID
,RowNum = ROW_NUMBER() OVER(PARTITION BY ACCOUNT_ID, PROD_ID ORDER BY ORDER_TIME)
--NEXT_ORDER_TIME_LAG: Returns the time difference between two consecutive order times.
,NEXT_ORDER_TIME_LAG = DATEDIFF(MINUTE, LAG(ORDER_TIME, 1, ORDER_TIME) OVER(PARTITION BY ACCOUNT_ID, PROD_ID ORDER BY ORDER_TIME), ORDER_TIME)
,ORDER_QUANTITY
FROM #Data
)
,RunningOrders AS(
SELECT
RowNum
,ORDER_TIME
,ACCOUNT_ID
,PROD_ID
,NEXT_ORDER_TIME_LAG
,LAG_LESS_THAN_24h = 0
,ORDER_QUANTITY
FROM NextEventLag
WHERE RowNum = 1
UNION ALL
SELECT
NextEventLag.RowNum
,NextEventLag.ORDER_TIME
,NextEventLag.ACCOUNT_ID
,NextEventLag.PROD_ID
,NextEventLag.NEXT_ORDER_TIME_LAG
--If the time lag between consecutive events and the time running sum is over 1440 minutes then set the value to 0.
--Change the NEXT_ORDER_TIME_LAG time interval to the desired interval value in minutes.
,LAG_LESS_THAN_24h = CASE WHEN RunningOrders.LAG_LESS_THAN_24h + NextEventLag.NEXT_ORDER_TIME_LAG >= 1440 THEN 0
ELSE RunningOrders.LAG_LESS_THAN_24h + NextEventLag.NEXT_ORDER_TIME_LAG
END
,NextEventLag.ORDER_QUANTITY
FROM RunningOrders
INNER JOIN NextEventLag ON RunningOrders.RowNum + 1 = NextEventLag.RowNum
AND RunningOrders.ACCOUNT_ID = NextEventLag.ACCOUNT_ID
AND RunningOrders.PROD_ID = NextEventLag.PROD_ID
)
,GroupedLags AS(
--This Groups together the LAG(s) less than 1440 minutes and is used by the outer query window functions
--to calculate the running aggregates.
SELECT RunningOrders.*
,Running24h.*
FROM RunningOrders
CROSS APPLY(SELECT TOP 1
Groups = COUNT(*) OVER(ORDER BY GroupApply.LAG_LESS_THAN_24h) --Count admin units within the time window in the WHERE clause
FROM RunningOrders AS GroupApply
WHERE
GroupApply.ACCOUNT_ID = RunningOrders.ACCOUNT_ID
AND GroupApply.PROD_ID = RunningOrders.PROD_ID
AND GroupApply.ORDER_TIME <= RunningOrders.ORDER_TIME
--ORDER BY StageBaseApply.ORDER_TIME
) AS Running24h
)
select
GroupedLags.ACCOUNT_ID
,GroupedLags.PROD_ID
,GroupedLags.ORDER_TIME
,GroupedLags.NEXT_ORDER_TIME_LAG
,GroupedLags.LAG_LESS_THAN_24h
,RUNNING_COUNT_24h = ROW_NUMBER() OVER(PARTITION BY GroupedLags.ACCOUNT_ID, GroupedLags.PROD_ID, GroupedLags.Groups ORDER BY GroupedLags.ORDER_TIME)
,RUNNING_SUM_24h = SUM(ORDER_QUANTITY) OVER(PARTITION BY GroupedLags.ACCOUNT_ID, GroupedLags.PROD_ID, GroupedLags.Groups ORDER BY GroupedLags.ORDER_TIME)
from GroupedLags
ORDER BY
GroupedLags.ACCOUNT_ID
,GroupedLags.PROD_ID
,GroupedLags.ORDER_TIME
Here is the db<>fiddle demo

Getting quantity between a range of months from 2 date parameters

I have a table that stores budget quantities for a company whose fiscal year begins 1st April and ends on 31st March the next year.
I have this query to extract figures for a particular month.
SELECT SUM(T1.U_Quantity) AS 'YTDBOwnMadeTea'
FROM [SL_NTEL_DB_LIVE].[dbo].[#U_BUDG_MADETEA] T0
INNER JOIN [SL_NTEL_DB_LIVE].[dbo].[#U_BUDG_MADETEA_ROW] T1
ON T0.DocEntry = T1.DocEntry
WHERE T1.U_Month = DATENAME(MONTH, '2015-04-01') AND T0.U_Source = 'NTEL'
There is an existing report that takes two parameters, a Start and End Date. (type datetime)
Table below: The month column is of type nvarchar.
How do I modify the query such when a user enters StartDate and EndDate e.g.
1st May 2015 and 31st July 2015, I will get a quantity result of 12640.

You can use couple of ways to do this.
One way would be to use PARSE. Like this.
SELECT SUM(T1.U_Quantity) AS 'YTDBOwnMadeTea'
FROM [SL_NTEL_DB_LIVE].[dbo].[#U_BUDG_MADETEA] T0
INNER JOIN [SL_NTEL_DB_LIVE].[dbo].[#U_BUDG_MADETEA_ROW] T1
ON T0.DocEntry = T1.DocEntry
WHERE PARSE((T1.U_Month + CONVERT(VARCHAR(4),YEAR(CURRENT_TIMESTAMP))) as datetime) BETWEEN #StartDate AND #EndDate
AND T0.U_Source = 'NTEL'
Another way would be to use a numbers table to map your month name to a month number and use it in your query.
;WITH CTE AS (
SELECT 1 as rn UNION ALL SELECT 1 UNION ALL SELECT 1 UNION ALL SELECT 1 UNION ALL SELECT 1 UNION ALL SELECT 1
UNION ALL SELECT 1 UNION ALL SELECT 1 UNION ALL SELECT 1 UNION ALL SELECT 1 UNION ALL SELECT 1 UNION ALL SELECT 1
),
MonthMap AS
(
SELECT ROW_NUMBER()OVER(ORDER BY rn ASC) as monthnumber FROM CTE
)
SELECT monthnumber,DATENAME(MONTH,DATEFROMPARTS(2016,monthnumber,1)) FROM MonthMap;
and then join it with your month table like this.
;WITH CTE AS (
SELECT 1 as rn UNION ALL SELECT 1 UNION ALL SELECT 1 UNION ALL SELECT 1 UNION ALL SELECT 1 UNION ALL SELECT 1
UNION ALL SELECT 1 UNION ALL SELECT 1 UNION ALL SELECT 1 UNION ALL SELECT 1 UNION ALL SELECT 1 UNION ALL SELECT 1
),
MonthMap AS
(
SELECT ROW_NUMBER()OVER(ORDER BY rn ASC) as monthnumber FROM CTE
)
SELECT SUM(T1.U_Quantity) AS 'YTDBOwnMadeTea'
FROM [SL_NTEL_DB_LIVE].[dbo].[#U_BUDG_MADETEA] T0
INNER JOIN [SL_NTEL_DB_LIVE].[dbo].[#U_BUDG_MADETEA_ROW] T1
ON T0.DocEntry = T1.DocEntry
INNER JOIN MonthMap M ON T1.U_Month = DATENAME(MONTH,DATEFROMPARTS(2016,monthnumber,1))
WHERE M.monthnumber BETWEEN DATEPART(MONTH,#StartDate) AND DATEPART(MONTH,#EndDate)
AND T0.U_Source = 'NTEL';
You should compare both the approaches for performance. PARSE is simpler to use but would be difficult to index properly.
On a Separate note, you should avoid storing dates or date parts as month names as these take up more storage(even more since you are using NVARCHAR), and are difficult to use efficiently.

2 results with 2 where in one select statement in sql-server

Let's say.. I have two statements
select min(Log_In_Time) from tbl where (event_ID=4)
select max(Log_Off_Time) from tbl where (event_ID=5)
How can I combine that 2 statement into one select statement which is resulted in 2 column like..
select min(Log_In_Time), max(Log_Off_Time) from tbl where ???????????????????

You can do this with a CASE statement:
Select
MIN (case when event_ID = 4 then Log_In_Time else null end) as MinTime,
MAX (case when event_ID = 5 then Log_Off_Time else null end) as MaxTime
from tbl

select min(Log_In_Time) from tbl where (event_ID=4)
union all
select max(Log_Off_Time) from tbl where (event_ID=5)

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