SUM datetime value by month - sql-server

I am working on a project for an organisation which handles tickets. I am doing this with SQL Management Studio. They want to know how much time they spend for each customer per month. What I have at the moment is individual tickets for each customer. Somehow I need to add these values by month an show in seperate column.
The column EndTime has the total time spend for each ticket, now I want to add these values for each month.
SELECT
[dbo].[Company].Name as CompanyName
, convert(time(0), CAST(EndTime AS TIME)) AS 'Worked hours'
,EndTime
,Category.Name as CategoryName
FROM [plugin.tickets].[Ticket]
LEFT JOIN [dbo].Category ON Category.Id = [plugin.tickets].Ticket.CategoryId
LEFT JOIN [plugin.tickets].TicketActivity ON TicketActivity.TicketId = [plugin.tickets].Ticket.Id
LEFT JOIN [dbo].Activity ON Activity.Id = [TicketActivity].ActivityId
LEFT JOIN [dbo].Company ON Company.Id = [plugin.tickets].Ticket.CompanyId
where
[plugin.tickets].[Ticket].status <= 2
AND [plugin.tickets].[Ticket].TypeId = 6 or [plugin.tickets].[Ticket].TypeId = 11
AND [dbo].Category.Name != 'VoIP Telefoni' AND [dbo].Category.Name != 'Beheer'
-- AND [dbo].Activity.EndTime is not null
-- AND DATEDIFF(MINUTE, CAST('00:00:00' AS TIME), CAST(EndTime AS TIME)) > 0
GROUP BY
[dbo].[Company].Name
,EndTime
,EndTime
,Category.Name
ORDER BY
'Worked hours' desc

Related

SQL NESTED JOIN ISSUES

I'm having a heck of a time getting my query to work properly. I have 3 tables (ORDERS, ORDERSITEMS, ORDERPAYMENTS) that I'm trying to build a report for monthly sales taxes due which will look like this:
MONTH YEAR TOTAL RECEIPTS EXEMPT RECEIPTS NON-EXEMPT RECEIPTS SALES TAX
1 2020 $5,000 $4,500 $500 $31.25
TOTAL RECEIPTS: To get this number you have to add together all of the C.OrderPayments_Amount for the given time frame, in this case MONTH(C.OrderPayments_Date) = 1 AND YEAR(C.OrderPayments_Date) = 2020
EXEMPT RECEIPTS: You have to determine if an item is taxable (eg. digital files are not sales taxable, physical prints are). To get this you have determine if the item is taxable by checking the B.OrdersItems_ItemChargeSalesTax. If this field is 0 it does not get charged sales tax and if it is 1 then it does. You then have to filter to only get ORDERSITEMS for the Jan 2020 time frame using by grouping by the C.OrderPayments_Date column that have the B.OrdersItems_ItemChargeSalesTax = 0 and finally add the B.OrdersItems_Total together.
NON-EXEMPT RECEIPTS: To get this number you do the same exact thing for EXEMPT RECEIPTS above except you look for B.OrdersItems_ItemChargeSalesTax = 1 and add the B.OrdersItems_Total together.
SALES TAX: To get this number you use the same date filter as before MONTH(C.OrderPayments_Date) = 1 AND YEAR(C.OrderPayments_Date) = 2020 and then add the A.Order_SalesTax column together.
The first query I have listed is working fine to bring me the total taxes paid and the total income for the month (right now I have hard coded the WHERE statement but that is going to be applied via filters on my list page). What I
need to get from the ORDERSITEMS table is a field called ORDERSITEMS_ItemTotal and sum that field so it is a single line entry on the query. I have seen another person do a nested join. Any suggestions would be greatly appreciated.
**ORDERS TABLE "A"**
Order_ID,
Order_SalesTax,
stateTaxAbbreviation
**ORDERSITEMS TABLE "B"**
Order_FK,
OrdersItems_ItemChargeSalesTax,
OrdersItems_Total
NOTE: In the ORDERSITEMS table a single Order_FK may appear several times as there can be many items on an order
**ORDERPAYMENTS TABLE "C"**
Order_FK,
OrderPayments_PaymentDate,
OrderPayments_Amount
NOTE: In the ORDERPAYMENTS table a single Order_FK may appear several times as there can be multiple payments on an order
While writing this out it seems to be an easy task but when I attempt to put it all together the numbers are wrong because it is adding entries multiple times because there are multiple items on an order and thus it is adding the total payment every time.
Here is the code that I've been tinkering with and I would really appreciate any guidance. Thank you in advance and hopefully I've explained my situation clearly enough.
Select
a.stateTaxAbbreviation AS StateAbbr,
MONTH(c.OrderPayments_Date) AS PaymentMonth,
YEAR(c.OrderPayments_Date) AS PaymentYear,
SUM(c.OrderPayments_Amount) AS TotalPayments,
SUM(a.Order_SalesTax) AS sales_tax
FROM dbo.ORDERS a
INNER JOIN ORDERPAYMENTS as c ON c.Order_FK = a.Order_ID
LEFT OUTER JOIN ORDERITEMS b on b.Order_FK = a.Order_ID
WHERE a.stateTaxAbbreviation = 'MA' AND Month(b.OrderPayments_Date) = 1 AND YEAR(b.OrderPayments_Date) = 2020
GROUP BY stateTaxAbbreviation , MONTH(c.OrderPayments_Date), Year(c.OrderPayments_Date)
You should probably write 2 queries, one where you join the ORDERPAYMENTS table, and another where you join the ORDERITEMS table. Then you can combine them with UNION ALL.
Something like this:
SELECT StateAbbr,PaymentMonth,PaymentYear,SUM(TotalPayments),SUM(sales_tax),SUM(OrdersItems_Total)
FROM (
Select
a.stateTaxAbbreviation AS StateAbbr,
MONTH(c.OrderPayments_Date) AS PaymentMonth,
YEAR(c.OrderPayments_Date) AS PaymentYear,
SUM(c.OrderPayments_Amount) AS TotalPayments,
SUM(a.Order_SalesTax) AS sales_tax,
0 as OrdersItems_Total
FROM dbo.ORDERS a
INNER JOIN ORDERPAYMENTS as c ON c.Order_FK = a.Order_ID
WHERE a.stateTaxAbbreviation = 'MA' AND Month(c.OrderPayments_Date) = 1 AND YEAR(c.OrderPayments_Date) = 2020
GROUP BY stateTaxAbbreviation , MONTH(c.OrderPayments_Date), Year(c.OrderPayments_Date)
UNION ALL
Select
a.stateTaxAbbreviation AS StateAbbr,
MONTH(c.OrderPayments_Date) AS PaymentMonth,
YEAR(c.OrderPayments_Date) AS PaymentYear,
0 AS TotalPayments,
0 AS sales_tax,
SUM(B.OrdersItems_Total) as OrdersItems_Total
FROM dbo.ORDERS a
INNER JOIN ORDERITEMS b on b.Order_FK = a.Order_ID
WHERE a.stateTaxAbbreviation = 'MA' AND Month(b.OrderPayments_Date) = 1 AND YEAR(b.OrderPayments_Date) = 2020
GROUP BY stateTaxAbbreviation , MONTH(c.OrderPayments_Date), Year(c.OrderPayments_Date)
)t
GROUP BY StateAbbr,PaymentMonth,PaymentYear
Thanks to Wouter for pointing me in the right direction. After looking at his suggestion I went back and evaluated what I needed and I create the solution that worked that was based on his idea. Thanks for your patience Wouter, your insight helped a lot!
Select StateAbbr, OrderYear, OrderMonth, SUM(TotalSales) As TotalSales, SUM(TotalSales)-SUM(TaxableRevenue) As ExemptRevenue, SUM(TaxableRevenue) As TaxableRevenue, SUM(SalesTax) As SalesTax
FROM (
Select
/*Get Total Sales and Total Sales Tax Collected*/
a.stateTaxAbbreviation AS StateAbbr,
MONTH(a.Order_Date) As OrderMonth,
YEAR(a.Order_Date) As OrderYear,
SUM((a.Order_TotalBaseSale + a.Order_Shipping) - (((a.Order_PercentDiscount*a.Order_TotalBaseSale)/100) + a.Order_DollarDiscount)) As TotalSales,
SUM(0) As ExemptRevenue,
Sum(0) As TaxableRevenue,
SUM(a.Order_SalesTax) AS SalesTax
FROM dbo.ORDERS a
WHERE a.Order_Status != 'Cancelled'
Group By a.stateTaxAbbreviation, MONTH(a.Order_Date), YEAR(a.Order_Date)
UNION ALL
Select
/*GET EXEMPT ORDERS*/
a.stateTaxAbbreviation AS StateAbbr,
MONTH(a.Order_Date) As OrderMonth,
YEAR(a.Order_Date) As OrderYear,
Sum(0) As TotalSales,
Sum(OrdersItems_ItemTotal) AS ExemptRevenue,
Sum(0) AS TaxableRevenue,
Sum(0) As SalesTax
FROM ORDERSITEMS b
LEFT JOIN ORDERS a ON Order_ID = b.Order_FK
WHERE b.OrdersItems_ItemChargeSalesTax = 0 and a.Order_Status != 'Cancelled'
Group By a.stateTaxAbbreviation, MONTH(a.Order_Date), YEAR(a.Order_Date)
UNION ALL
Select
/*GET NON-EXEMPT ORDERS*/
a.stateTaxAbbreviation AS StateAbbr,
MONTH(a.Order_Date) As OrderMonth,
YEAR(a.Order_Date) As OrderYear,
SUM(0) As TotalSales,
SUM(0) AS ExemptRevenue,
Sum(OrdersItems_ItemTotal) AS TaxableRevenue,
Sum(0) As SalesTax
FROM ORDERSITEMS b
LEFT JOIN ORDERS a ON Order_ID = b.Order_FK
WHERE b.OrdersItems_ItemChargeSalesTax <> 0 and a.Order_Status != 'Cancelled'
Group By a.stateTaxAbbreviation, MONTH(a.Order_Date), YEAR(a.Order_Date)
)t
GROUP BY StateAbbr, OrderMonth, OrderYear
ORDER BY StateAbbr ASC, OrderYear DESC, OrderMonth ASC

Calculate the datediff() between the date 1 and 2

I need to calculate the datediff from one column where the in time marked with a 1 and the out time marked with a 2. if an employee swiped in and there is no out or out but there was no in i would like it to show as null.
I am not sure how I go about doing this.
SELECT
u.userid
,et.name
,CASE
WHEN scs.FullName is NULL THEN u.name
WHEN scs.FullName is NOT NULL THEN scs.FullName
END AS name
,e.LoggedTime AS SwipeTime
,CASE
WHEN et.name = 'Output On By Door' OR et.name = 'User Granted
Entry To Door Using Reading Device' THEN 1
ELSE 2
END AS SwipeTimeDiff
,d.name AS Door
FROM [Users] AS u
LEFT JOIN [Events] AS e ON e.RecordIndex1=u.UserID
LEFT JOIN [EventTypes] AS et on e.EventTypeID = et.EventTypeID
join .[Doors] AS d ON e.RecordIndex2 = d.DoorID
LEFT join SecurityContractorSignIn as scs on scs.Badge = u.lastname
WHERE LoggedTime > CONVERT(DATE, GETDATE()) and d.doorid in (32, 50, 42, 51, 33)
ORDER BY u.name,e.LoggedTime DESC
I would like to have a computed column with the time difference in days, hours and minutes or null if if there is a missing in(1) or out(2) time.
Well, the DATEDIFF() function is fully explained here and the difference for the specific datepart you want to extract is returned as an integer.
According to your need you may do something like but you will have the information in three (or more - if you want to extend) different columns:
-- Calculate the difference of how many days have passed
SELECT DATEDIFF(DAY, LoginTime, LogoutTime) AS DaysPassed
-- Calculate the difference of how many hours have passed
SELECT DATEDIFF(HOUR, LoginTime, LogoutTime) AS HoursPassed
-- Calculate the difference of how minutes have passed
SELECT DATEDIFF(MINUTE, LoginTime, LogoutTime) AS MinutesPassed
If you want to return a string whether the employee logged out or not you may use something like:
SELECT ISNULL(CONVERT(nvarchar(50), DATEDIFF(MONTH, '2019-01-04', NULL)), 'No logout')

Query running tally of open issues on a given day

I have been banging my head on this for a while now and I think I've drastically over-complicating things at this point. What I have is a table containing the fields
OpenDate
ClosedDate
Client
Contract
Service
What I need to turn that into is
Date
Client
Contract
Service
OpenedOnThisDay
OpenedYesterday
ClosedOnThisDay
ClosedYesterday
OpenAtStartOfTomorrow
OpenAtStartOfToday
For any given Date, there may or may not be any issues opened or closed ON that day. That day should still be included with 0's
I have come at this a number of ways and can produce one of the desired results at a time (opened on, closed on, Open at end of), but I cannot get them all at once, at least not without exponentially increasing the query time.
My queries currently as views are as follows
Opened On
select Cast(EntryDateTime as Date) as DateStamp
,ContractNumber
,Client
,services.Service
,sum(1) as Count
,lag(sum(1)) OVER (
partition by tickets.ContractNumber
,services.Service ORDER BY Cast(EntryDateTime as Date) ASC
) as CountDayBefore
from v_JiraImpactedServices as services
LEFT JOIN v_JiraTickets as tickets ON services.ticketnumber = tickets.TicketNumber
WHERE tickets.Client is not null
AND tickets.TicketNumber IS NOT NULL
and tickets.ContractNumber is not null
GROUP BY Cast(tickets.EntryDateTime as Date)
,tickets.ContractNumber
,tickets.Client
,services.Service;
Closed On
select Cast(ResolvedDateTime as Date) as DateStamp
,ContractNumber
,Client
,services.Service
,sum(1) as Count
,lag(sum(1)) OVER (
partition by tickets.ContractNumber
,services.Service ORDER BY Cast(ResolvedDateTime as Date) ASC
) as CountDayBefore
from v_JiraImpactedServices as services
LEFT JOIN v_JiraTickets as tickets ON services.ticketnumber = tickets.TicketNumber
WHERE tickets.Client is not null
and tickets.TicketNumber is not null
AND tickets.ContractNumber is not null
GROUP BY Cast(tickets.ResolvedDateTime as Date)
,tickets.ContractNumber
,tickets.Client
,services.Service;
Open On
SELECT calendar.FullDate as DateStamp
,tickets.ContractNumber
,tickets.client
,services.Service
,IsNull(count(tickets.TicketNumber), 0) as Count
,IsNull(lag(count(tickets.TicketNumber), 1) OVER (
partition by tickets.ContractNumber
,services.Service Order By FullDate ASC
), 0) as CountDayBefore
FROM v_Calendar as calendar
LEFT JOIN v_JiraTickets as tickets ON Cast(tickets.EntryDateTime as Date) <= calendar.FullDate
AND (
Cast(tickets.ResolvedDateTime as Date) > calendar.FullDate
OR tickets.ResolvedDateTime is null
)
LEFT JOIN v_JiraImpactedServices as services ON services.ticketnumber = tickets.TicketNumber
WHERE tickets.Client is not null
AND tickets.ContractNumber is not null
GROUP BY calendar.FullDate
,tickets.ContractNumber
,tickets.Client
,services.Service;
As I said each of these by itself gives ALMOST the desired results, but omits days with 0 values.
Aside from producing days with 0 values, I need to also combine these into a single table result. All attempts so far have either produced obviously wrong JOIN results, or takes an hour to execute.
I would be most grateful if someone could point me in the right direction here.
Just to give you an idea, although the fieldnames don't match your scenario, this is how I would approach this:
WITH
SourceData (ClientID, ContractID, ServiceID, DateStamp) AS (
SELECT a.ID, b.ID, c.ID, d.DateStamp
FROM clients a
JOIN contracts b ON a.ID = b.ClientID
JOIN [services] c ON b.ID = c.ContractID
CROSS JOIN calendar d
WHERE d.DateStamp >= DATEADD(day, -60, GETDATE())
)
SELECT d.DateStamp, s.ClientID, s.ContractID, s.ServiceID
, COUNT(CASE WHEN Cast(EntryDateTime as Date) = d.DateStamp THEN 1 END) AS OpenedOn
, COUNT(CASE WHEN Cast(ResolvedDateTime as Date) = d.DateStamp THEN 1 END) AS ClosedOn
, COUNT(CASE WHEN Cast(ResolvedDateTime as Date) > d.DateStamp OR ResolvedDateTime IS NULL AND EntryDateTime IS NOT NULL THEN 1 END) AS InProgress
FROM SourceData s
LEFT JOIN tickets t
ON s.ClientID = t.ClientID
AND s.ContractID = t.ContractID
AND s.ServiceID = t.ServiceID
AND s.DateStamp >= Cast(EntryDateTime as Date)
AND (s.DateStamp <= ResolvedDateTime OR ResolvedDateTime IS NULL)
GROUP BY d.DateStamp, s.ClientID, s.ContractID, s.ServiceID

Exclude certain line depending on a certain condition in t-SQL

Firstly, I have created the following stock sales SELECT statement:
SELECT
PostST.TxDate AS TxDate,
PostST.Reference AS InvNum,
Client.Name AS CustomerName,
SalesRep.Code AS SalesRep,
WhseMst.Code AS Whse,
CONCAT (StkItem.Description_1, ' - ',StkItem.Code) AS Item,
_etblLotTracking.cLotDescription AS LotNumber,
CASE
WHEN PostST.TrCodeID = 34 THEN (PostST.Quantity * 1)
WHEN PostST.TrCodeID = 30 THEN (PostST.Quantity * -1)
ELSE 0
END AS QtySold,
CAST
(
CASE
WHEN PostST.TrCodeID = 34 THEN (PostST.Credit / PostST.Quantity)
WHEN PostST.TrCodeID = 30 THEN (PostST.Debit / (PostST.Quantity * -1))
ELSE 0
END
as [money]
)
AS CustomerPrice,
StkItem.ItemGroup AS ItemGroup,
StkItem.ulIIStockType AS StockType,
YEAR (PostST.TxDate) AS Year,
DATENAME (MONTH, (PostST.TxDate)) AS Month
FROM
PostST
INNER JOIN StkItem
ON StkItem.StockLink = PostST.AccountLink
INNER JOIN PostAR
ON PostAR.cAuditNumber = PostST.cAuditNumber
INNER JOIN Client
ON Client.DCLink = PostAR.AccountLink
INNER JOIN SalesRep
ON SalesRep.idSalesRep = PostAR.RepID
INNER JOIN WhseMst
ON WhseMst.WhseLink = PostST.WarehouseID
FULL JOIN _etblLotTracking
ON _etblLotTracking.idLotTracking = PostST.iLotID
WHERE
PostST.TrCodeID IN (34, 30) AND StkItem.ItemGroup <> 'TRAN'
This query is run from Sage Evolution and data is dumped into Excel. From there I manipulate to view each item and the sales history in quantity per month and year.
My problem is as follows:
Within the data that follows, is sometimes a customer who has perhaps stopped buying a particular item. What I need is for this statement to also filter out a line by the following condition:
If the customer does not have a sale for 6 months or more, then that STOCK ITEM must be filtered out for that specific customer.
Thank you!

Look at data in one date range and count from another date range

I'm stuck on a query where I am trying to get information on just customers that are newly acquired during a certain date range.
I had need to get a list of customers who placed their first order (of all time) in the first 6 months of the year. I then need to get total of their invoices, first invoice date, last invoice date, and count of orders for just the last 6 months.
I used a HAVING clause to ensure that I am just looking at customers that placed their first order in that 6 month period, but since we are past that period now, the total invoice info and order count information would include orders placed after this time. I considered including a restriction in the HAVING clause for the 'last invoice date', but then I am eliminating customers whose first order date was in the 6 month block, but also ordered after that. I'm not sure what to do next and am not having luck finding similar questions. Here is what I have so far:
SELECT c.customer, MAX(c.name) AS Name,
SUM(
CASE WHEN im.debit = 0
THEN im.amount * -1
ELSE im.amount
END
) AS TotalInvoiceAmount,
MIN(
im.date) AS FirstInvoiceDate,
MAX(
im.date) AS LastInvoiceDate,
COUNT(DISTINCT om.[order]) AS OrderCount
FROM invoicem im
INNER JOIN customer c ON im.customer = c.customer
FULL JOIN orderm om ON im.customer = om.customer
WHERE im.amount <> 0
GROUP BY c.customer
HAVING MIN(im.date) BETWEEN '01-01-2015' AND '06-30-2015'
ORDER BY c.customer
You can put the first 6 months qualification as a subquery. This would also work as a CTE
declare #startDate date = dateadd(month,-6,getdate())
SELECT c.customer, MAX(c.name) AS Name,
SUM(
CASE WHEN im.debit = 0
THEN im.amount * -1
ELSE im.amount
END
) AS TotalInvoiceAmount,
MIN(
im.date) AS FirstInvoiceDate,
MAX(
im.date) AS LastInvoiceDate,
COUNT(DISTINCT om.[order]) AS OrderCount
FROM invoice im
INNER JOIN (SELECT customer from invoice
GROUP BY customer
HAVING MIN(date) BETWEEN '01-01-2015'
AND '06-30-2015') im2
ON im.customer = im2.customer
INNER JOIN customer c ON im.customer = c.customer
FULL JOIN orderm om ON im.customer = om.customer
WHERE im.amount <> 0
AND im.date >= #startdate
GROUP BY c.customer
ORDER BY c.customer

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