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James Elliott
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Stored Procedure - Track movements in queue

Hi,

I'm making a complete meal out of a stored procedure that I think should be very simple. Please help.

I have Table A which holds financial information in queue, which I snapshot throughout the day on different days (Uploaded_DT).

I have a Query B which gives me a list of the days that the snapshots were taken, and gives me the last snapshot time of the day.

I join this to Table A to give me 1 lot of data for each day, taken from the last snapshot of the day.

In Table A, I have [Date Created] and [Invoice Total] from which I want the stored procedure to aggregate and return the SUM(Invoice Total) for the first day, less the SUM(Invoice Total) for the final day, plus any SUM(Invoice Values) with a [Date Created] in the period.

Here's where I've got to.

SET ANSI_NULLS ON
GO

SET QUOTED_IDENTIFIER ON
GO

ALTER procedure [dbo].[spGetFinancialMovementsBetweenDates]
	@dtStart datetime,
	@dtEnd datetime
AS

DECLARE @dOpeningBalance as DECIMAL(10,2)
DECLARE @dClosingBalance as DECIMAL(10,2)
DECLARE @dCreatedInPeriod as DECIMAL(10,2) 

		SELECT c.dt, SUM(c.InvTotal) as bf, SUM(c.CreatedInDT) as created_dt INTO #tt
		FROM
				(SELECT 
					a.Uploaded_DT, b.dt, MAX(a.[Invoice Total]) as InvTotal, CASE WHEN CONVERT(varchar(10),MAX(a.[Date Created]),103) = b.dt THEN MAX(a.[Invoice Total]) ELSE 0 END as CreatedInDT
				  FROM
					TableA a
					INNER JOIN
						QueryB b
					ON b.uploaded_dt = a.Uploaded_DT
					AND a.Uploaded_DT >= @dtStart
					AND a.Uploaded_DT <= DATEADD(day,1,@dtEnd)

					WHERE a.[Date Created] IS NOT NULL

					GROUP BY a.uploaded_dt, b.dt, a.[Payee Number], a.[Invoice Number]
				  ) c
            GROUP BY c.dt

SET @dOpeningBalance = (SELECT bf FROM #tt  WHERE dt = CONVERT(varchar(10),@dtStart,103))
SET @dClosingBalance = (SELECT bf FROM #tt WHERE dt = CONVERT(varchar(10),@dtEnd,103))
SET @dCreatedInPeriod = (SELECT SUM(created_dt), CASE WHEN dt > CONVERT(varchar(10),@dtStart,103) and dt <= CONVERT(varchar(10),@dtEnd,103) THEN 1 ELSE 0 END as grp FROM #tt GROUP BY CASE WHEN dt > CONVERT(varchar(10),@dtStart,103) and dt <= CONVERT(varchar(10),@dtEnd,103) THEN 1 ELSE 0 END )

SELECT @dOpeningBalance as bf, @dCreatedInPeriod as [in], (@dopeningbalance - @dClosingBalance) + @dCreatedInPeriod as [out], @dClosingBalance as cf

DROP TABLE #tt

GO

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Microsoft SQL ServerMicrosoft SQL Server 2008

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Last Comment
James Elliott

8/22/2022 - Mon
Vitor Montalvão

Can you post a sample data? And which data are returning by your SP and what should returns so we can see what's missing in your query.

Also I can't understand the use of the CASE in the subselect.
ste5an

And can you explain your data model? Cause the task sounds like it is part of an ETL process.
James Elliott

ASKER
Ste5an => I've googled ETL :) I don't know whether it applies or not! My setup doesn't sound like a classical ETL process. Can you explain what you want this information for, and I'll try and explain the data model in the most useful way possible. I'm not particularly well versed in this area.

Vitor => I'm fairly restricted in what I can share as regards data, but please see attached an example.

Thanks in advance.
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ste5an

It's the way a data warehouse gets its data: extract, transform, load. "Snapshots", "aggregates" really sound like a DW issue. This can mean that a different model is more approriate.
ASKER CERTIFIED SOLUTION
Vitor Montalvão

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James Elliott

ASKER
Thanks Vitor.

Nearly there I think.

I'm struggling with a.same_day though. This isn't in my source data.

Rgds
Vitor Montalvão

James, same_day it's in the Excel file you posted here. I thought those columns are fields of your table.
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James Elliott

ASKER
ah ok, no, some of the columns were calculated on the spreadsheet itself to demonstrate what I needed.

I think you've given me enough to go on though with the rollup, and the method of selecting TOP 1 from a sorted listed. I'm going to try and work this out, so I'll post another question to take me further if I need it.

Thanks!
James Elliott

ASKER
Great direction. Thanks