I have a database that has customer, product, date and volume/revenue data. I'd like to create two NEW columns to show the previous year volume and revenue based on the date/customer/product.
I've tried unioning two views, one that has dates (unchanged) and a second view that creates a CTE where I select the dates minus one year with another select statement off of that where VOL and REV are renamed VOL_PY and REV_PY but the data is incomplete. Basically what's happening is the PY data is only pulling volume and revenue if there is data in the prior year (for example if a customer didn't sell a product in 2021 but DID in 2020, it wouldn't pull for the VOL_PY for 2020 - because it didn't sell in 2021). How do I get my code to include matches in dates but also the instances where there isn't data in the "current" year?
Here's what I'm going for:
[EXAMPLE DATA WITH NEW COLUMNS]
CURRENT YEAR VIEW:
SELECT
CUSTOMER
,PRODUCT
,DATE
,VOL
,REV
,0 AS VOL_HL_PY
,0 AS REV_DOLS_PY
,DATEADD(YEAR, -1, DATE) AS DATE_PY FROM dbo.vwReporting
PREVIOUS YEAR VIEW:
WITH CTE_PYFIGURES
([AUTONUMBER]
,CUSTOMER
,PRODUCT
,DATE
,VOL
,REV
,DATE_PY
) AS
(
SELECT b.*
, DATEADD(YEAR, 1, DATE) AS DATE_PY
FROM dbo.basetable b
)
SELECT
v.CUSTOMER
,v.PRODUCT
,v.DATE
,0 AS v.VOL
,0 AS v.REV
,CTE.VOL_HL AS VOL_HL_PY
,CTE.REV_DOLS AS REV_DOLS_PY
,DATEADD(YEAR,-1,CTE.PERIOD_DATE_PY) AS PERIOD_DATE_PY
FROM dbo.vwReporting AS v
FULL OUTER JOIN CTE_PYFIGURES AS CTE ON CTE.CUSTOMER=V.CUSTOMER AND CTE.PRODUCT=V.PRODCUT AND CTE.DATE_PY=V.DATE
You need to offset your current year's data to one year forward and then union it with the current data, placing zeroes for "other" measures (VOL and REV for previous year and VOL_PY and REV_PY for current year). Then do aggregation. This way you'll have all the dimensions' values that were in current or previous year.
with a as (
select
CUSTOMER
, PRODUCT
, [DATE]
, VOL
, REV
, 0 as vol_py
, 0 as rev_py
from dbo.vwReporting
union all
select
CUSTOMER
, PRODUCT
, dateadd(year, 1, [DATE]) as [DATE]
, 0 as VOL
, 0 as REV
, vol as vol_py
, rev as rev_py
from dbo.vwReporting
)
select
CUSTOMER
, PRODUCT
, [DATE]
, VOL
, sum(vol) as vol
, sum(rev) as rev
, sum(vol_py) as vol_py
, sum(rev_py) as rev_py
from a
group by
CUSTOMER
, PRODUCT
, [DATE]
, VOL
Related
I'd Like to get QoQ from a dataset with Q3 and Q4 data that also has a report date column, each row should have a QoQ value for each fiscal month (represented by a report date), Q4 should compare against Q3 but my statement only seems to be comparing within the same quarter i.e. Q4 is comparing against Q4 instead of Q4 comparing to Q3 ..
I am using the lag function but not sure what I am doing wrong if someone could please see code below.
SELECT [Year],
[SalesDate] as Report_Date,
[Quarter],
Sales,
LAG(Sales, 1, 0) OVER(
PARTITION BY [Year] ,[Quarter]
ORDER BY [Year],
[Quarter],
salesDate
ASC) AS [QuarterSales_Offset],
sales - LAG(Sales) OVER(
PARTITION BY [Year] ,[Quarter]
ORDER BY [Year],
[Quarter],
salesDate
ASC) as diff,
Case When
LAG(Sales,1,0) OVER(
PARTITION BY [Year],[Quarter]
ORDER BY [Year],
[Quarter],
salesDate
ASC) = 0 then null else
(
sales - LAG(Sales,1,0) OVER(
PARTITION BY [Year],[Quarter]
ORDER BY [Year],
[Quarter],
salesDate
ASC))/ LAG(Sales,1,0) OVER(
PARTITION BY [Year],[Quarter]
ORDER BY [Year],
[Quarter],
salesDate
ASC) end as QoQ
FROM dbo.ProductSales_2;
Query Output:
Since LAG() at 1 offset returns previous row and your data is at month level, you actually compare month over month in each quarter. Consider a different approach such as joining two subsets of your data by quarter and month in quarter.
QuarterMonth column can be calculated with ROW_NUMBER() expression (i.e., running count of months within each quarter). Since month gaps in sales data can potentially arise, use a year_quarter_month calendar table aligned to your fiscal year. Altogether, this allows comparison of first FY Q4 month (2020-08-31) to first FY Q3 month (2020-05-31) by columns.
WITH unit AS (
SELECT yqm.[Year]
, yqm.[Quarter]
, yqm.[Month]
, COALESCE(p.[Report_Date], DATEADD(DAY, -1, DATEFROMPARTS(yqm.[Year], yqm.[Month]+1, 1))) AS [Report_Date]
, p.[Sales]
FROM year_quarter_month_table yqm
LEFT JOIN dbo.ProductSales_2 p
ON yq.[Year] = p.[Year]
AND yq.[Quarter] = p.[Quarter]
AND yq.[Month] = p.[Month]
), sub AS (
SELECT [Year]
, [Quarter]
, [Month]
, ROW_NUMBER() OVER(PARTITION BY [Year], [Quarter]
ORDER BY [Report_Date]) AS [QuarterMonth]
, [Report_Date]
, [Sales]
FROM unit
)
SELECT q4.[Year]
, q4.[Report_Date] AS Q4_Date
, q4.[Sales] AS Q4_Sales
, q3.[Report_Date] AS Q3_Date
, q3.[Sales] AS Q3_Sales
, q4.[Sales] - q3.[Sales] AS Diff
, COALESCE((q4.[Sales] - q3.[Sales]) / q3.[Sales], 0) AS QoQ
FROM sub q4
LEFT JOIN sub q3
ON q4.[Year] = q3.[Year]
AND q4.[Quarter] = 4
AND q3.[Quarter] = 3
AND q4.[QuarterMonth] = q3.[QuarterMonth]
You may be able to generalize to any quarter-over-quarter calculation and not just Q3 and Q4:
WITH sub AS (
-- SAME CTEs AS ABOVE
)
SELECT curr_qtr.[Year]
, curr_qtr.[Report_Date] AS Curr_Qtr_Date
, curr_qtr.[Sales] AS Curr_Qtr_Sales
, last_qtr.[Report_Date] AS Last_Qtr_Date
, last_qtr.[Sales] AS Last_Qtr_Sales
, curr_qtr.[Sales] - last_qtr.[Sales] AS Diff
, COALESCE((curr_qtr.[Sales] - last_qtr.[Sales]) / last_qtr.[Sales], 0) AS QoQ
FROM sub curr_qtr
LEFT JOIN sub last_qtr
ON curr_qtr.[Year] = last_qtr.[Year] -- ASSUMING FISCAL YEAR AND NOT CALENDAR YEAR
AND curr_qtr.[Quarter] = last_qtr.[Quarter] + 1
AND curr_qtr.[QuarterMonth] = last_qtr.[QuarterMonth]
I’m creating an interim table in SQL Server for use with PowerBI to query financial data.
I have a finance transactions table tblfinance with
CREATE TABLE TBLFinance
(ID int,
Value float,
EntryDate date,
ClientName varchar (250)
)
INSERT INTO TBLFinance(ID ,Value ,EntryDate ,ClientName)
VALUES(1,'1783.26','2018-10-31 00:00:00.000','Alpha')
, (2,'675.3','2018-11-30 00:00:00.000','Alpha')
, (3,'243.6','2018-12-31 00:00:00.000','Alpha')
, (4,'8.17','2019-01-31 00:00:00.000','Alpha')
, (5,'257.23','2019-01-31 00:00:00.000','Alpha')
, (6,'28','2019-02-28 00:00:00.000','Alpha')
, (7,'1470.61','2019-03-31 00:00:00.000','Bravo')
, (8,'1062.86','2019-04-30 00:00:00.000','Bravo')
, (9,'886.65','2019-05-31 00:00:00.000','Bravo')
, (10,'153.31','2019-05-31 00:00:00.000','Bravo')
, (11,'150.24','2019-06-30 00:00:00.000','Bravo')
, (12,'690.14','2019-07-31 00:00:00.000','Charlie')
, (13,'21.67','2019-08-31 00:00:00.000','Charlie')
, (14,'339.29','2018-10-31 00:00:00.000','Charlie')
, (15,'807.96','2018-11-30 00:00:00.000','Delta')
, (16,'48.94','2018-12-31 00:00:00.000','Delta')
I’m calculating transaction values that fall within a week. My week ends on a Sunday, so I have the following query:
INSERT INTO tblAnalysis
(WeekTotal
, WeekEnd
, Client
)
SELECT SUM (VALUE) AS WeekTotal
, dateadd (day, case when datepart (WEEKDAY, EntryDate) = 1 then 0 else 8 - datepart (WEEKDAY, EntryDate) end, EntryDate) AS WeekEnd
, ClientName as Client
FROM dbo.tblFinance
GROUP BY dateadd (day, case when datepart (WEEKDAY, EntryDate) = 1 then 0 else 8 - datepart (WEEKDAY, EntryDate) end, EntryDate), CLIENTNAME
I’ve now been informed that some of the costs incurred within a given week maybe monthly, and therefore need to be split into 4 weeks, or annually, so split into 52 weeks. I will write a case statement to update the costs based on ClientName, so assume there is an additional field called ‘Payfrequency’.
I want to avoid having to pull the values affected into a temp table, and effectively write this – because there’ll be different sums applied depending on frequency.
SELECT *
INTO #MonthlyCosts
FROM
(
SELECT
client
, VALUE / 4 AS VALUE
, WEEKENDING
FROM tblAnalysis
UNION
SELECT
client
, nt_acnt
, VALUE / 4 AS VALUE
, DATEADD(WEEK,1,WEEKENDING) AS WEEKENDING
FROM tblAnalysis
UNION
SELECT
client
, VALUE / 4 AS VALUE
, DATEADD(WEEK,2,WEEKENDING) AS WEEKENDING
FROM tblAnalysis
UNION
SELECT
client
, VALUE / 4 AS VALUE
, DATEADD(WEEK,3,WEEKENDING) AS WEEKENDING
FROM tblAnalysis
) AS A
I know I need a stored procedure to hold variables so the calculations can be carried out dynamically, but have no idea where to start.
You can use recursive CTEs to split the data:
with cte as (
select ID, Value, EntryDate, ClientName, payfrequency, 1 as n
from TBLFinance f
union all
select ID, Value, EntryDate, ClientName, payfrequency, n + 1
from cte
where n < payfrequency
)
select *
from cte;
Note that by default this is limited to 100 recursion steps. You can add option (maxrecursion 0) for unlimited numbers of days.
The best solution would be to make use of a numbers table. If you can create a table on your server with one column holding a sequence of integer numbers.
You can then use it like this for your weekly values:
SELECT
client
, VALUE / 52 AS VALUE
, DATEADD(WEEK,N.Number,WEEKENDING) AS WEEKENDING
FROM tblAnalysis AS A
CROSS JOIN tblNumbers AS N
WHERE NCHAR.Number <=52
How could I calculate to calculate YTD and prior YTD in the same query?
I try to calculate weight and weight ytd. I didn't undestand how to add the calculation of prior ytd in the same query.
YTD: Sum Weight from the first of January to today
prior YTD: Sum
Weight from the first of January of last year to today minus 1 year
SELECT SUM(CASE
WHEN convert(date,s.Delivery_Year+'-'+ s.Delivery_month+'-'+ s.Delivery_day) BETWEEN dateadd(yy, DATEDIFF(yy, 0, GETDATE()), 0) AND GETDATE() THEN s.Weight
ELSE 0
END) AS WeightYTD ,
sum(Weight) AS weight ,
[Sales_Organization] ,
[Market_Grp] ,
[Delivery_Year] ,
[Delivery_month] ,
Delivery_day
FROM Fact_sales s
GROUP BY ,
[Sales_Organization] ,
[Market_Grp] ,
[Delivery_Year] ,
[Delivery_month] ,
Delivery_day
It's still quite unclear as to what results/behaviour you actually want.
One possible interpretation is that the "year to date" is relative to the date in the table, and not relative to "today" / GETDATE().
So...
for 14th March 2018 : YTD = 1st Jan 2018 to 14th March 2018
for 20th March 2019 : YTD = 1st Jan 2019 to 20th March 2019
That being the case, I would do the following to get the YTD column...
WITH
grouped_by_date AS
(
SELECT
[Sales_Organization],
[Market_Grp],
[Delivery_Year],
[Delivery_Month],
[Delivery_Day],
SUM([Weight]) AS Weight
FROM
Fact_sales s
GROUP BY
[Sales_Organization],
[Market_Grp],
[Delivery_Year],
[Delivery_Month],
[Delivery_Day]
),
cumulative_sum_for_ytd AS
(
SELECT
*,
SUM([Weight]) OVER (PARTITION BY [Delivery_Year]
ORDER BY [Delivery_Month], [Delivery_Day]
)
AS Weight_YTD
FROM
grouped_by_date
),
There isn't a LAG() function in SQL Server 2008, but there are "hacky tricks" that can simulate it...
hack_to_do_lag AS
(
SELECT
*,
CASE
WHEN [Delivery_Year]%2=1
THEN MAX(CASE WHEN [Delivery_Year]%2=0 THEN [Weight_YTD] END) OVER (PARTITION BY ([Delivery_Year]+0)/2)
ELSE MAX(CASE WHEN [Delivery_Year]%2=1 THEN [Weight_YTD] END) OVER (PARTITION BY ([Delivery_Year]+1)/2)
END
AS Weight_PreviousYTD
FROM
cumulative_sum_for_ytd
)
SELECT
*
FROM
hack_to_do_lag
Trying to create running totals based on the year in my query as i'm showing the last 3 years of sales and commissions in my query and want running yearly totals for those for each salesperson listed
Tried various ways to get the data to do this but haven't been able to.
SELECT TOP (100) PERCENT 'abc' AS CompanyCode, abc.AR_Salesperson.SalespersonName, abc.AR_SalespersonCommission.SalespersonDivisionNo, abc.AR_SalespersonCommission.SalespersonNo,
SUM(abc.AR_SalespersonCommission.InvoiceTotal) AS InvoiceTotalSum, SUM(abc.AR_SalespersonCommission.CommissionAmt) AS CommissionAmtSum, DATENAME(month, abc.AR_SalespersonCommission.InvoiceDate)
AS Month, DATENAME(year, abc.AR_SalespersonCommission.InvoiceDate) AS Year, DATEPART(m, abc.AR_SalespersonCommission.InvoiceDate) AS MonthNumber
FROM abc.AR_Customer INNER JOIN
abc.AR_SalespersonCommission ON abc.AR_Customer.ARDivisionNo = abc.AR_SalespersonCommission.ARDivisionNo AND abc.AR_Customer.CustomerNo = abc.AR_SalespersonCommission.CustomerNo INNER JOIN
abc.AR_Salesperson ON abc.AR_SalespersonCommission.SalespersonDivisionNo = abc.AR_Salesperson.SalespersonDivisionNo AND
abc.AR_SalespersonCommission.SalespersonNo = abc.AR_Salesperson.SalespersonNo
GROUP BY abc.AR_Salesperson.SalespersonName, abc.AR_SalespersonCommission.SalespersonDivisionNo, abc.AR_SalespersonCommission.SalespersonNo, DATENAME(month, abc.AR_SalespersonCommission.InvoiceDate),
DATENAME(year, abc.AR_SalespersonCommission.InvoiceDate), DATEPART(m, abc.AR_SalespersonCommission.InvoiceDate)
HAVING (DATENAME(year, abc.AR_SalespersonCommission.InvoiceDate) > DATEADD(year, - 3, GETDATE()))
UNION
SELECT TOP (100) PERCENT 'XYZ' AS CompanyCode, xyz.AR_Salesperson.SalespersonName, xyz.AR_SalespersonCommission.SalespersonDivisionNo, xyz.AR_SalespersonCommission.SalespersonNo,
SUM(xyz.AR_SalespersonCommission.InvoiceTotal) AS InvoiceTotalSum, SUM(xyz.AR_SalespersonCommission.CommissionAmt) AS CommissionAmtSum, DATENAME(month, xyz.AR_SalespersonCommission.InvoiceDate)
AS Month, DATENAME(year, xyz.AR_SalespersonCommission.InvoiceDate) AS Year, DATEPART(m, xyz.AR_SalespersonCommission.InvoiceDate) AS MonthNumber
FROM xyz.AR_Customer INNER JOIN
xyz.AR_SalespersonCommission ON xyz.AR_Customer.ARDivisionNo = xyz.AR_SalespersonCommission.ARDivisionNo AND xyz.AR_Customer.CustomerNo = xyz.AR_SalespersonCommission.CustomerNo INNER JOIN
xyz.AR_Salesperson ON xyz.AR_SalespersonCommission.SalespersonDivisionNo = xyz.AR_Salesperson.SalespersonDivisionNo AND
xyz.AR_SalespersonCommission.SalespersonNo = xyz.AR_Salesperson.SalespersonNo
GROUP BY xyz.AR_Salesperson.SalespersonName, xyz.AR_SalespersonCommission.SalespersonDivisionNo, xyz.AR_SalespersonCommission.SalespersonNo, DATENAME(month, xyz.AR_SalespersonCommission.InvoiceDate),
DATENAME(year, xyz.AR_SalespersonCommission.InvoiceDate), DATEPART(m, xyz.AR_SalespersonCommission.InvoiceDate)
HAVING (DATENAME(year, xyz.AR_SalespersonCommission.InvoiceDate) > DATEADD(year, - 3, GETDATE()))
I expect the output to have running totals for the InvoiceTotalSum and CommissionAmt for each salesperson for the last 3 years. So of course January will be 0 for each person but Feb through December will have a running total
Sample data and desired results below. Desired results are the highlighted columns
Sample Data and Desired Results
2 things before I go to the solution.
First, I am not sure why you need an UNION into your query. I can see the difference between abc and xyz but it still looks strange.
It is surely possible your query can be shortened/simplified, which would need more info to tell.
Second, I do not see a valid reason why the running total should be 0 for January.
Explanation about that:
February (2nd month of the year): running total in your expected result contains the amount for 2 months
March: 3 months
April: 4 months
...
So January should contain the running total for 1 month (January itself).
Try the query below:
WITH MyData AS (
<Please paste your query here>
)
SELECT CompanyCode, SalesPersonName, SalesPersonDivisionNo, InvoiceTotalSum,
SUM(InvoiceTotalSum) OVER (PARTITION BY SalesPersonDivisionNo, SalesPersonNo, SalesPersonName, Year ORDER BY MonthNumber) AS InvoiceTotalRunningSum,
CommissionAmtSum,
SUM(CommissionAmtSum) OVER (PARTITION BY SalesPersonDivisionNo, SalesPersonNo, SalesPersonName, Year ORDER BY MonthNumber) AS CommissionAmtRunningSum,
Month, Year, MonthNumber
FROM MyData
ORDER BY CompanyCode, SalesPersonDivisionNo, SalesPersonNo, SalesPersonName, Year, MonthNumber
The magic takes place in the PARTION BY/ORDER BY
I think you need to review your query and simplify it.
a few notes :
if the CompanyCode is already existed within the database, join its table and link it with the current records instead of writing it manually.
DATENAME(year, ... ) the shorthand is YEAR()
DATEPART(m, ...) the shorthand is MONTH()
I encourage you to use aliases
(DATENAME(year, xyz.AR_SalespersonCommission.InvoiceDate) > DATEADD(year, - 3, GETDATE())) will exclude the first year and include the current.So, 2019-3 = 2016, yours will get 2017,2018, and 2019, while it should get 2016,2017, and 2018.
for your InvoiceTotalRunningSum use :
SUM(InvoiceTotalSum) OVER (PARTITION BY SalespersonNo ORDER BY MonthNumber UNBOUNDED PRECEDING)
this will do an accumulative sum on InvoiceTotalSum for each SalespersonNo. you can partition the records for each year, month ..etc. simply by adding more partitions, but I used your current query as sub-query, and did that instead :
read more about SELECT - OVER Clause (Transact-SQL)
try it out :
SELECT
'abc' AS CompanyCode
, SalespersonName
, SalespersonDivisionNo
, SalespersonNo
, InvoiceTotalSum
, SUM(InvoiceTotalSum) OVER (PARTITION BY SalespersonNo ORDER BY MonthNumber UNBOUNDED PRECEDING) InvoiceTotalRunningSum
, CommissionAmtSum
, SUM(CommissionAmtSum) OVER (PARTITION BY SalespersonNo ORDER BY MonthNumber UNBOUNDED PRECEDING) CommissionAmtRunningSum
, [Month]
, [Year]
, MonthNumber
FROM (
SELECT
'abc' AS CompanyCode
, ars.SalespersonName
, arsc.SalespersonDivisionNo
, arsc.SalespersonNo
, SUM(arsc.InvoiceTotal) InvoiceTotalSum
, SUM(arsc.CommissionAmt) CommissionAmtSum
, DATENAME(month, arsc.InvoiceDate) [Month]
, YEAR(arsc.InvoiceDate) [Year]
, MONTH(arsc.InvoiceDate) MonthNumber
FROM
abc.AR_Customer arc
INNER JOIN abc.AR_SalespersonCommission arsc ON arc.ARDivisionNo = arsc.ARDivisionNo AND arc.CustomerNo = arsc.CustomerNo
INNER JOIN abc.AR_Salesperson ars ON arsc.SalespersonDivisionNo = ars.SalespersonDivisionNo AND arsc.SalespersonNo = ars.SalespersonNo
GROUP BY
ars.SalespersonName
, arsc.SalespersonDivisionNo
, arsc.SalespersonNo
, YEAR(arsc.InvoiceDate)
, MONTH(arsc.InvoiceDate)
, DATENAME(month, arsc.InvoiceDate)
HAVING
YEAR(arsc.InvoiceDate) BETWEEN YEAR(GETDATE()) - 3 AND YEAR(GETDATE()) - 1 -- Only include the last three years (excluding current year)
) D
Good afternoon,
Hope that you're all well and wish you a happy new year.
I'm experiencing some curious behaviour with a query that I've written in that the LAG function is inconsistent.
Essentially, I have a dataset (made up of 2 CTEs) which each contain the month (in MMM-YYYY format) and then one holds a count of tickets opened, and the other contains the same but for tickets closed.
What I am then doing is adding in a 'Backlog' column (which will be 0 for the first month in all cases) and a 'Carried Forward' column. The Carried Forward amount will be the balance of that month ( Created + Backlog ) and will be reflected as the Backlog for the following month.
I had this ticking over quite nicely until I realised that negative backlogs were fudging the numbers a bit. What I mean is, for example:
10 Tickets Created
12 Tickets Resolved
0 Ticket Backlog
-2 Tickets Carried Forward
In this circumstance, I've had to zero any negative backlog for our reporting purposes.
This is seemingly where the problems come into play. For the first few months, everything will be fine - the values will be right, carrying forward the correct numbers and factoring them into the calculations accordingly. But then it will carry over a number of (seemingly) indeterminable origin which of course, has a knock-on effect on the accuracy past this point.
With the Window Functions introduced with SQL Server 2012, this should be quite basic - but evidently not!
Whilst I'm quite happy to post code (I have tried a fair few ways of skinning this cat), I feel as though if someone is able to give a high-level overview of how it should be written, I'll see where I went wrong immediately. In doing so, I'll then respond accordingly with my attempt/s for completeness.
Thank you very much in advance!
Picture of result error:
, OpenClosed AS
(
SELECT
c.[Created Month] 'Month'
, c.Tickets 'Created'
, r.Tickets 'Resolved'
, IIF( ( c.Tickets - r.Tickets ) < 0, 0, ( c.Tickets - r.Tickets ) ) 'Balance'
FROM
Created c
JOIN Resolved r ON
c.[Created Month] = r.[Resolved Month]
)
, CarryForward AS
(
SELECT
ROW_NUMBER() OVER( ORDER BY CAST( '1.' + Month AS DATETIME ) ) 'Row No'
, Month 'Month'
, Created 'Created'
, Resolved 'Resolved'
, LAG( Balance, 1, 0 ) OVER( ORDER BY CAST( '1.' + Month AS DATETIME ) ) 'Backlog'
, IIF( ( ( Created + LAG( Balance, 1, 0 ) OVER( ORDER BY CAST( '1.' + Month AS DATETIME ) ) ) - Resolved ) < 0
, 0
, ( ( Created + LAG( Balance, 1, 0 ) OVER( ORDER BY CAST( '1.' + Month AS DATETIME ) ) ) - Resolved )
) 'Carry Forward'
FROM
OpenClosed
)
SELECT
c1.Month 'Month'
, c1.Created 'Created'
, c1.Resolved 'Resolved'
, c2.[Carry Forward] 'Backlog'
, IIF( ( c1.Created + c2.[Carry Forward] ) - c1.Resolved < 0
, 0
, ( c1.Created + c2.[Carry Forward] ) - c1.Resolved
) 'Carried Forward'
FROM
CarryForward c1
JOIN CarryForward c2 ON
c2.[Row No] = c1.[Row No]-1
From comments on question. Incidentally, the Created Month column should be redone somehow so that the year is placed before the month - like 2015-01. This will ensure correct ordering by default sort algorithms.
If the date must be presented as Jan-2015 in the final report, do that presentational work as the very final step in the query.
WITH ticket_account AS
(
SELECT
c.[Created Month] AS Month
,c.Tickets AS Created
,r.Tickets AS Resolved
FROM
Created AS c
INNER JOIN
Resolved AS r
ON c.[Created Month] = r.[Resolved Month]
)
SELECT
*
,(SUM(Created) OVER (ORDER BY Month ASC) - SUM(Resolved) OVER (ORDER BY Month ASC)) AS Balance
FROM
ticket_account