I'm having a lot of trouble trying to produce a query that displays the client names, contact numbers, email addresses and total unpaid job costs of any clients who have a total (sum) of at least $500 in unpaid jobs.
I then have to order the results so that the largest amount owing is at the top.
So far I have come up with this query
SELECT
j.job_id,
c.name + c.surname,
c.phone,
c.email_address,
SUM(jt.cost * (DATEDIFF(mi, timestart, timecomplete)))
FROM client as c
LEFT OUTER JOIN job AS j ON c.tax_file_number = c.tax_file_number
LEFT OUTER JOIN job_type AS jt ON j.jobtype_id = jt.jobtype_id
WHERE SUM(jt.cost * (DATEDIFF(mi, timecomplete, timestart) > 500
ORDER BY SUM(jt.cost * (DATEDIFF(mi, timecomplete, timestart))) DESC;
Any help would be appreciated
Guessing here since your requirements are not clear, but I think you want this:
WITH jobinfo as
(
SELECT j.client_id, SUM(jt.cost * (DATEDIFF(mi, timecomplete, timestart))) as cost
FROM job as j
JOIN job_type as jt ON j.jobtype_id = jt.jobtype_id
GROUP BY j.client_id
)
SELECT
c.client_id,
c.name + c.surname,
c.phone,
c.email_address,
j.cost
FROM client as c
JOIN jobinfo j ON c.client_id= j.client_id
WHERE j.cost > 500
ORDER BY j.cost DESC
declare _sum int,
set _sum= (select SUM(jt.cost * (DATEDIFF(mi, timecomplete, timestart))) from job_type) SELECT j.job_id, c.name + c.surname, c.phone, c.email_address, SUM(jt.cost * (DATEDIFF(mi, timestart, timecomplete))) FROM client as c LEFT OUTER JOIN job AS j ON c.tax_file_number = c.tax_file_number LEFT OUTER JOIN job_type AS jt ON j.jobtype_id = jt.jobtype_id WHERE _sum > 500
Please try the following. Aggregate function (SUM, COUNT, etc) are not allowed on the WHERE clause, you should use HAVING for those.
SELECT
j.job_id,
c.name + c.surname,
c.phone,
c.email_address,
SUM(jt.cost * (DATEDIFF(mi, timestart, timecomplete)))
FROM client as c
LEFT OUTER JOIN job AS j ON a.tax_file_number = c.tax_file_number
LEFT OUTER JOIN job_type AS jt ON j.jobtype_id = jt.jobtype_id
HAVING SUM(jt.cost * (DATEDIFF(mi, timecomplete, timestart) > 500
ORDER BY SUM(jt.cost * (DATEDIFF(mi, timecomplete, timestart))) DESC;
EDIT:
Fixed ON a.tax_file_number = c.tax_file_number
Related
I'm trying to calculate list all Customers A/C Receivables.
I calculate list of sales and receipts of customers, now I'm stuck how to calculate Receivables.
All Customer's Sales Report
Select c.StakeHolderId, c.CompanyName, sum(s.Amount) as TotalSales from
StakeHolders c
left Join Sales s on
c.StakeHolderId = s.BuyerId
where c.StakeHolderTypeId = '0b85a69e-55f2-4142-a49d-98e22aa7ca10'
group By c.StakeHolderId, c.CompanyName
All Customer's Receipts
Select c.StakeHolderId, c.CompanyName, sum(pr.Amount) as TotalReceipts
from
StakeHolders c
left Join PaymentsAndReceipts pr on
c.StakeHolderId = pr.StakeHolderId
where c.StakeHolderTypeId = '0b85a69e-55f2-4142-a49d-98e22aa7ca10'
group By c.StakeHolderId, c.CompanyName
I have tried this but didn't get the right result.
Select
c.StakeHolderId,
c.CompanyName,
sum(s.Amount) - sum(pr.Amount) as Receivables
from Sales s
right outer join StakeHolders c on
c.StakeHolderId = s.BuyerId
left outer join PaymentsAndReceipts pr on
pr.StakeHolderId = c.StakeHolderId
where c.StakeHolderTypeId = '0b85a69e-55f2-4142-a49d-98e22aa7ca10'
Group By c.StakeHolderId,c.CompanyName
expected Result:
Does this work for you?:
WITH [CalculatedData] AS
(
SELECT
C.[StakeHolderId],
C.[CompanyName],
COALESCE((SELECT SUM([Amount])
FROM [Sales]
WHERE [BuyerId] = C.[StakeHolderId]
), 0) AS [TotalSales],
COALESCE((SELECT SUM([Amount])
FROM [PaymentsAndReceipts]
WHERE [StakeHolderId] = C.[StakeHolderId]
), 0) AS [TotalReceipts]
FROM
[StakeHolders] AS C
WHERE
C.[StakeHolderTypeId] = '0b85a69e-55f2-4142-a49d-98e22aa7ca10'
)
SELECT
[StakeHolderId],
[CompanyName],
[TotalSales] - [TotalReceipts] AS [Receivables]
FROM
[CalculatedData]
Note that I include negative values in the result. If you want negative values shown between parentheses, that's possible too, but it will require conversion of numerical data to textual data in the query results. IMHO, that's not a flexible strategy (since you lose the option to perform any additional client-side calculations) and it should be the client's purpose to correctly format the values.
Edit:
If you don't like Common Table Expressions, you can convert it to a regular table expression:
SELECT
[StakeHolderId],
[CompanyName],
[TotalSales] - [TotalReceipts] AS [Receivables]
FROM
(
SELECT
C.[StakeHolderId],
C.[CompanyName],
COALESCE((SELECT SUM([Amount])
FROM [Sales]
WHERE [BuyerId] = C.[StakeHolderId]
), 0) AS [TotalSales],
COALESCE((SELECT SUM([Amount])
FROM [PaymentsAndReceipts]
WHERE [StakeHolderId] = C.[StakeHolderId]
), 0) AS [TotalReceipts]
FROM
[StakeHolders] AS C
WHERE
C.[StakeHolderTypeId] = '0b85a69e-55f2-4142-a49d-98e22aa7ca10'
) AS [CalculatedData]
just take first query LEFT JOIN to second query join by StakeHolderId & companyname. After that take sales subtract receipts
SELECT S.StakeHolderId, S.CompanyName,
Receivables = TotalSales - ISNULL(TotalReceipts , 0)
FROM
(
-- this is your first query
Select c.StakeHolderId, c.CompanyName, sum(s.Amount) as TotalSales from
StakeHolders c
left Join Sales s on
c.StakeHolderId = s.BuyerId
where c.StakeHolderTypeId = '0b85a69e-55f2-4142-a49d-98e22aa7ca10'
group By c.StakeHolderId, c.CompanyName
) S
LEFT JOIN
(
-- this is your second query
Select c.StakeHolderId, c.CompanyName, sum(pr.Amount) as TotalReceipts
from
StakeHolders c
left Join PaymentsAndReceipts pr on
c.StakeHolderId = pr.StakeHolderId
where c.StakeHolderTypeId = '0b85a69e-55f2-4142-a49d-98e22aa7ca10'
group By c.StakeHolderId, c.CompanyName
) R ON S.StakeHolderId = R.StakeHolderId
AND S.CompanyName = R.CompanyName
i need your help! I got some simple SQL skills, but this query kills me...
My Tables
Now i want the TOP5 WorkTimes on the Equipment (What Equipment got the longest WorkTime).
I want this OUTPUT:
MY Query:
SELECT
Equipment, EquipmentName, count(Equipment) as Count
FROM
Operations o
LEFT JOIN Orders ord ON ord.Id = o.[Order]
LEFT OUTER JOIN Equipments e ON ord.Equipment = e.EquipmentNumber
GROUP BY
Equipment, EquipmentName
ORDER BY Count DESC;
Another Question is how i can show o.Worktime?
i got an error with GroupBy...
please help me Thanks!
You can try this query:
select equip_nr,
(select equipmentname from table_equipments where equipmentnr = [to].equip_nr) equip_name,
sum(timeInMins) / 60.0 Worktime
from (
select (select equipmentnr from table_orders where id = [to].[order]) equip_nr,
case when workunittime = 'RH' then worktime * 60 else worktime end timeInMins
from table_operations [to]
where exists(select 1 from table_orders
where [to].[order] = id
and location = '152')
and [start] >= '2018-07-01 00:00:00.000' and [start] < '2018-08-01 00:00:00.000'
) [to] group by equip_nr
By the way, LEFT JOIN is equivalent to LEFT OUTER JOIN.
Just use SUM(worktime) as aggregate function, instead of COUNT(Equipment)
SELECT
e.[ID_Equipment]
, Name
, SUM( IIF(o.WorkUnitTime='MIN', worktime/60.0, worktime) ) as WorktimeMIN
FROM
Operations o
LEFT JOIN Orders ord ON ord.ID_Order = o.ID_Order
LEFT OUTER JOIN Equipment e ON ord.ID_Equipment = e.ID_Equipment
GROUP BY
e.[ID_Equipment]
, Name
ORDER BY
WorktimeMIN DESC
See SQL Fiddle here: http://sqlfiddle.com/#!18/5b5ed/11
I am trying to get top 5 customertypes and show data for each 5 customer types, The balance (which can be any amount) I show them as "Other Customer Types". my issue is since the rows can be random and not perfectly divisible by a number then there can be repeated values in the top 5 showing up in the "Other" group which overstates the Total sales.
the Data is also being rendered in SSRS
My code using TOP PERCENT:
select final.[description], sum(final.YTDSales$) as YTDSales$
FROM(
select top 25 percent pytd2.[Description], sum(pytd2.YTDSales$) as YTDSales$
FROM(
-- ytd sales
select re.SIC_Desc as [description], sum((ol.NetAmt - ol.WhlOrdDiscAmt) / #exrt) AS YTDSales$
from dbo.order_line_invoice ol
INNER JOIN dbo.Vendor vd ON ol.Cono = vd.Cono AND vd.VendId = ol.VendId
inner join Product_Warehouse pw on ol.ProdId = pw.prodid and ol.WhseId = pw.whseid and ol.cono = pw.cono
inner join Customer c on ol.custId = c.CustId and ol.Cono = c.Cono
left join MDData.dbo.RetailEnvironment re on c.SIC = re.SIC
where ol.InvoiceDate BETWEEN #FStartDate AND #EndDate AND ol.Cono = 1 and ol.VendId IN(#Vendid) and ol.prodcatid NOT LIKE 'GP%'
group by re.SIC_Desc
)PYTD2
group by pytd2.[description]
order by sum(pytd2.YTDSales$) DESC
UNION ALL
select top 75 percent 'Other' as 'description', sum(pytd.YTDSales$) as YTDSales$
FROM(
-- ytd sales
select re.SIC_Desc as [description], sum((ol.NetAmt - ol.WhlOrdDiscAmt) / #exrt) AS YTDSales$
from dbo.order_line_invoice ol
INNER JOIN dbo.Vendor vd ON ol.Cono = vd.Cono AND vd.VendId = ol.VendId
inner join Product_Warehouse pw on ol.ProdId = pw.prodid and ol.WhseId = pw.whseid and ol.cono = pw.cono
inner join Customer c on ol.custId = c.CustId and ol.Cono = c.Cono
left join MDData.dbo.RetailEnvironment re on c.SIC = re.SIC
where ol.InvoiceDate BETWEEN #FStartDate AND #EndDate AND ol.Cono = 1 and ol.VendId IN(#Vendid) and ol.prodcatid NOT LIKE 'GP%'
group by re.SIC_Desc
)PYTD
group by Ppytd.[description]
order by sum(pytd.YTDSales$)
)final
group by final.[Description]
order by sum(final.YTDSales$) DESC
my results:
As you can see the Large Independent and Other has the same figure of $2280.60 in YTDQty since it is being repeated
I was picturing something like this:
with data as (
-- your base query here grouped and summarized by customer type
), rankedData as (
select *, row_number() over (order by YTDSales$ desc) as CustTypeRank
from data
)
select
case when CustTypeRank <= 5 then min("description") else 'Others' end as "description",
sum(YTDSales$) as YTDSales$
from rankedData
group by case when CustTypeRank <= 5 then CustTypeRank else 999 end
order by case when CustTypeRank <= 5 then CustTypeRank else 999 end
I actually used RANK instead which worked great :-
select 0 as rankytd, RANK() OVER(ORDER BY sum(ol.NetAmt - ol.WhlOrdDiscAmt) DESC) as rankpytd, re.sic, ol.VendId, vd.name, re.SIC_Desc As [description], 0 AS YTDQty, sum(ol.Quantity) AS PYTDQty
from dbo.order_line_invoice ol
INNER JOIN dbo.Vendor vd ON ol.Cono = vd.Cono AND vd.VendId = ol.VendId
inner join dbo.Product p on ol.Cono = p.Cono and ol.prodid = p.ProdId and p.ProdCatId in (#pcat)
inner join Product_Warehouse pw on ol.ProdId = pw.prodid and ol.WhseId = pw.whseid and ol.cono = pw.cono
inner join Customer c on ol.custId = c.CustId and ol.Cono = c.Cono
left join MDData.dbo.RetailEnvironment re on c.SIC = re.SIC
where ol.InvoiceDate BETWEEN DATEADD(YEAR, -1,#FStartDate) AND DATEADD(YEAR, -1, #EndDate) and ol.Cono = 1 and ol.VendId IN(#Vendid) and ol.prodcatid NOT LIKE 'GP%'
group by re.sic, ol.VendId, vd.Name, re.SIC_Desc
i have the following MS ACCESS query that i would like it to return results ordered by name and "paged" by "faking" a rownumber
select * from (SELECT *
FROM (SELECT
s.name as SHolderCategory,
c1.id,
c1.fmember,
c1.link,
m.name as category,
c1.name,
c1.address1,
c1.address2,
c1.city,
c1.state,
c1.zip,
(SELECT COUNT(c2.id) FROM orgs AS c2 WHERE c2.id <= c1.id) AS rownumber
FROM
((orgs AS c1 inner join membershipcls m on m.Id = c1.mClassID)
inner join SHolderscategories s on s.Id = c1.SHolderCategoryID
)
where c1.active = 1)
order by c1.name)
WHERE rownumber > 20 AND rownumber <=40
the problem here is that the ordering is done before the where clause which enforces paging.
so it ends up sorting one page at a time, rather than sorting the whole resultset then paging it...so the results are wrong because in page 1 i have names starting with a to g ... then in page 2 it comes back to names starting with c .... and so on
when i try to get the order clause out so that the query executes the paging first...Mr ACCESS is Angry!!! and tells me it is a COMPLEX query !!!!
any workaround for this?
try also this approach:
SELECT * FROM
(
SELECT TOP 20 *
FROM
(
SELECT TOP 40
s.name as SHolderCategory,
c1.id,
c1.fmember,
c1.link,
m.name as category,
c1.name,
c1.address1,
c1.address2,
c1.city,
c1.state,
c1.zip
FROM
orgs AS c1
inner join membershipcls m on m.Id = c1.mClassID
inner join SHolderscategories s on s.Id = c1.SHolderCategoryID
WHERE c1.active = 1
ORDER BY c1.name
) o
ORDER BY o.name DESC
) f ORDER BY f.name
Hi is there any workaround with this one?
SELECT invoices.no, customers.name, invoices.mdcode,
SUM(iproducts.unitprice * iproducts.quantity) AS total,
SUM(iproducts.unitprice * iproducts.quantity) - SUM(rinvoices.payment + rinvoices.discount)
AS [Remaining Balance]
FROM invoices INNER JOIN
customers ON customers.id = invoices.customerid INNER JOIN
iproducts ON invoices.id = iproducts.invoiceid LEFT OUTER JOIN
rinvoices ON invoices.id = rinvoices.invoiceid
WHERE ([Remaining Balance] <> '0')
GROUP BY invoices.no, customers.name, invoices.mdcode
The following returns an error that '[Remaining Balance]' is not a valid column whereas i already declared it. i can't use it in both the WHERE and the CASE clauses. Is there any work around since i really need to get only the invoices that have still remaining balances.
Thanks for the help!
You have to use HAVING clause like this
HAVING SUM(rinvoices.payment) - SUM(rinvoices.discount) <> 0
instead of WHERE
Ie:
SELECT invoices.no, customers.name, invoices.mdcode,
SUM(iproducts.unitprice * iproducts.quantity) AS total,
SUM(iproducts.unitprice * iproducts.quantity) - SUM(rinvoices.payment + rinvoices.discount)
AS [Remaining Balance]
FROM invoices INNER JOIN
customers ON customers.id = invoices.customerid INNER JOIN
iproducts ON invoices.id = iproducts.invoiceid LEFT OUTER JOIN
rinvoices ON invoices.id = rinvoices.invoiceid
GROUP BY invoices.no, customers.name, invoices.mdcode
HAVING SUM(rinvoices.payment) - SUM(rinvoices.discount) <> 0