I need to calculate datedif(ss, start_time, end_time) between certain types of activities, which I pretty know how to do it. My code is:
WITH WorkDates AS (
SELECT
ROW_NUMBER() OVER (PARTITION BY A.NUMBER ORDER BY datestamp DESC) AS RowNumber,
p2.affected_item as Service,
p1.close_time as close_time,
datestamp,
description,
a.type,
a.number as number
from ACTIVITYM1 a
left outer join probsummarym1 p1 on a.number = p1.number
inner join probsummarym2 p2 on p1.number = p2.number
where ((a.type like 'status%'
and (description like '%to Work In Progress%'
or description like '%from Work In Progress%')) or a.type like 'Closed')
)
SELECT
O1.Service,
O1.number,
O1.close_time,
sum(DATEDIFF(ss, O2.datestamp, O1.datestamp)) AS sum_of_time
FROM WorkDates O1
LEFT JOIN WorkDates O2
ON O2.RowNumber = O1.RowNumber + 1
and O2.number = O1.number
where O2.description like '%to Work In Progress%'
and (O1.description like '%from Work In Progress%' or O1.type like 'Closed')
group by O1.Service, O1.number, O1.close_time
order by O1.Service, O1.number
I'm doing it that way, because I need to calculate it between certain types of activities, and a number of such 'time windows' where it should be counted is not constant. And it works quite ok, but it calculates full time, including holidays, weekends
But there is one one more thing I need to have done here.
I would like to calculate datediff(ss, start_date, end_date) but only from Monday to Friday. It means, for example if start_date was on Friday at 16:00 and end_date on Monday at 7:00, datediff should be (24:00 - 16:00) + (07:00 - 00:00) = 15 hours. Is it possible?
You should calculate week difference, then convert it to seconds, then deduct it from datediff.
Like this:
sum(DATEDIFF(ss, O2.datestamp, O1.datestamp) - abs(DATEPART(ww,O2.datestamp) - DATEPART(ww,O1.datestamp)) * 2 * 24 * 60 * 60 ) AS sum_of_time
Related
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
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')
I have a view that returns this result.
I want to sum the amounts where dateValidite is great then a certain end of month (that changes)
For example last day of month is '2016/01/31' so I will sum all the amounts (MontantAuto) where DateValidite > last day of month
I'm using this query but this sum I get is incorrect
select
a.Monnaie
, a.Category
, a.Personne
, EOMONTH(DATEADD(mm,-1,a.DateValidite)) as Previous
, sum(b.MontantAuto) As mnt
from
olap.tf_autorisation_balance a
inner join
olap.tf_autorisation_balance b on a.Id = B.Id
where
EOMONTH(DATEADD(mm,-1,a.DateValidite)) < b.DateValidite
group by
a.Monnaie, a.Category, a.Personne, a.DateValidite
Change your request as :
where EOMONTH(DATEADD(mm,-1,a.DateValidite)) < CONVERT(VARCHAR(10), b.DateValidite, 103)
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
Goal:
To know if we have purchased duplicate StockCodes or Stock Description more than once on difference purchase orders
So, if we purchase Part ABC on Purchase Order 1 and Purchase Order 2, it should return the result of
PurchaseOrders, Part#, Qty
Purchase Order1, Purchase Order2, ABC, 2
I just don't know how to pull the whole code together, more to the point, how do I know if it's occurred on more than 1 Purchase Order without scrolling through all the results , may also have to do with Multiple (Having Count) Statements as I only seem to be doing by StockCode
SELECT t1.PurchaseOrder,
t1.MStockCode,
Count(t1.MStockCode) AS SCCount,
t1.MStockDes,
Count(t1.MStockDes) AS DescCount
FROM PorMasterDetail t1
INNER JOIN PorMasterHdr t2
ON t1.PurchaseOrder = t2.PurchaseOrder
WHERE Year(t2.OrderEntryDate) = Year(Getdate())
AND Month(t2.OrderEntryDate) = Month(Getdate())
GROUP BY t1.PurchaseOrder,
t1.MStockCode,
t1.MStockDes
HAVING Count(t1.MStockCode) > 1
Using responses I came up with the following
select * from
(
SELECT COUNT(dbo.InvMaster.StockCode) AS Count, dbo.InvMaster.StockCode AS StockCodes,
dbo.PorMasterDetail.PurchaseOrder, dbo.PorMasterHdr.OrderEntryDate
FROM dbo.InvMaster INNER JOIN dbo.PorMasterDetail ON
dbo.InvMaster.StockCode = dbo.PorMasterDetail.MStockCode
INNER JOIN dbo.PorMasterHdr ON dbo.PorMasterDetail.PurchaseOrder = dbo.PorMasterHdr.PurchaseOrder
WHERE YEAR(dbo.PorMasterHdr.OrderEntryDate) = YEAR(GETDATE())
GROUP BY dbo.InvMaster.StockCode, dbo.InvMaster.StockCode,
dbo.PorMasterDetail.PurchaseOrder, dbo.PorMasterHdr.OrderEntryDate
) Count
Where Count.Count > 1
This returns the below , which is starting to be a bit more helpful
In result line 2,3,4 we can see the same stock code (*30044) ordered 3 times on different
purchase orders.
I guess the question is, is it possible to look at If something was ordered more than once within say a 30 day period.
Is this possible?
Count StockCodes PurchaseOrder OrderEntryDate
2 *12.0301.0021 322959 2014-09-08
2 *30044 320559 2014-01-21
8 *30044 321216 2014-03-26
4 *30044 321648 2014-05-08
5 *32317 321216 2014-03-26
4 *4F-130049/TEST 323353 2014-10-22
5 *650-1157/E 322112 2014-06-24
2 *650-1757 321226 2014-03-27
SELECT *
FROM
(
SELECT h.OrderEntryDate, d.*,
COUNT(*) OVER (PARTITION BY d.MStockCode) DupeCount
FROM
PorMasterHdr h
INNER JOIN PorMasterDetail d ON
d.PurchaseOrder = h.PurchaseOrder
WHERE
-- first day of current month
-- http://blog.sqlauthority.com/2007/05/13/sql-server-query-to-find-first-and-last-day-of-current-month/
h.OrderEntryDate >= CONVERT(VARCHAR(25), DATEADD(dd,-(DAY(GETDATE())-1),GETDATE()),101)
) dupes
WHERE
dupes.DupeCount > 1;
This should work if you're only deduping on stock code. I was a little unclear if you wanted to dedupe on both stock code and stock desc, or either stock code or stock desc.
Also I was unclear on your return columns because it almost looks like you're wanting to pivot the columns so that both purchase order numbers appear on the same line.