I am using a self-join to get year-to-date totals. This works:
SELECT tc.EmployeeID, tc.TimeCardNum, tc.Tax, SUM(inr.Tax) AS YTDTax
FROM TimeCards tc
JOIN (
SELECT EmployeeID, TimeCardNum, Tax
FROM TimeCards
) AS inr
ON inr.EmployeeID = tc.EmployeeID
AND inr.TimeCardNum <= tc.TimeCardNum
GROUP BY tc.EmployeeID, tc.TimeCardNum, tc.Tax
ORDER BY tc.EmployeeID, tc.TimeCardNum
which gives me a running total column that resets for each employee.
Now I want to turn it into an UPDATE query to put that data into a new column. How is this done?
Have you tried:
UPDATE a
SET a.YTDTax=b.YTDTax
FROM TimeCards a
INNER JOIN (
SELECT tc.EmployeeID, tc.TimeCardNum, tc.Tax, SUM(inr.Tax) AS YTDTax
FROM TimeCards tc
JOIN (
SELECT EmployeeID, TimeCardNum, Tax
FROM TimeCards
) AS inr
ON inr.EmployeeID = tc.EmployeeID
AND inr.TimeCardNum <= tc.TimeCardNum
GROUP BY tc.EmployeeID, tc.TimeCardNum, tc.Tax
) b on a.EmployeeID=b.EmployeeID
AND a.TimeCardNum = b.TimeCardNum
Run in a transaction to ensure it produces the desired output.
Related
In my query, I am using 2 different window functions to pull the last activity for all my items. I decided to use a subquery in the join because if I put both window functions in a single select my run time takes forever or doesn't even finish.
`SELECT --*
-- Remove Ranks from result screen
X.ProductID,
X.ProductDescription,
X.ProductStatusDescription,
X.SalesOrderID,
X.[SO Ship Date],
X.SalesQty,
X.[SO Branch],
X.PurchaseOrderID,
X.[PO Ship Date],
X.PurchaseQty,
X.[PO Branch]
FROM(
SELECT P.ProductID,
P.ProductDescription,
P.ProductStatusDescription,
SO.FullSalesOrderID SalesOrderID,
SO.ShipDate 'SO Ship Date',
SOL.StockQuantity_LowestUM SalesQty,
SO.ShipBranchID 'SO Branch',
ROW_NUMBER() OVER (PARTITION BY P.ProductID ORDER BY SO.OrderDate DESC, SO.ShipDate DESC) AS SalesRank,-- I know it is row number not a real rank, rank creates duplicates if order and ship are the same dates
PT.FullPurchaseOrderID PurchaseOrderID,
PT.ReceiveBranchID 'PO Branch',
PT.ShipDate 'PO Ship Date',
PT.StockQuantity_LowestUM PurchaseQty
FROM UV_Products AS P WITH (NOLOCK) LEFT JOIN
(Select POL.ProductID PID,
PO.FullPurchaseOrderID,
ROW_NUMBER() OVER (PARTITION BY POL.ProductID ORDER BY PO.OrderDate DESC, PO.ShipDate DESC) AS PurchaseRank,
PO.ReceiveBranchID,
PO.ShipDate,
POL.StockQuantity_LowestUM
FROM UV_PurchaseOrderLines POL LEFT JOIN
UV_PurchaseOrders PO WITH (NOLOCK) ON PO.FullPurchaseOrderID = POL.FullPurchaseOrderID
WHERE PO.OrderStatus <> 'X'
) AS PT ON PT.PID = P.ProductID
FULL OUTER JOIN
UV_SalesOrderLines AS SOL WITH (NOLOCK) on SOL.ProductID = P.ProductID LEFT JOIN
UV_SalesOrders AS SO WITH (NOLOCK) ON SOL.FullSalesOrderID = SO.FullSalesOrderID
WHERE
P.ProductStatus IN ('1', '2')
AND SO.OrderStatus <> 'X'
AND PT.PurchaseRank = 1
) X
WHERE X.SalesRank = 1
--AND X.ProductID = 87060`
If I uncomment the last Where clause to find item 87060 the query returns no rows. However, If I go into the individual tables I can find that item in each one. Thus, I know my query is not returning some rows. Is this due to the way I joined my subqueries or the window functions?
I'm quite new to SQL and I hope you can help me.
I'm trying to retrieve unique values from my table based on the latest date where specific users are selected.
This is the data:
Raw Data
And this is what I'm looking to achieve:
Desired Data
I tried to write 2 queries but unfortunately:
My 1st query would display duplicated rows for each company:
SELECT DISTINCT FilteredAppointment.regardingobjectidname ,FilteredAppointment.owneridname ,FilteredAppointment.subject ,MAX(FilteredAppointment.scheduledstart) as Date ,FilteredAppointment.location ,FilteredCcx_member.ccx_mnemonic FROM FilteredAppointment INNER JOIN FilteredAccount ON FilteredAppointment.regardingobjectid = FilteredAccount.accountid INNER JOIN FilteredCcx_member ON FilteredAccount.accountid = FilteredCcx_member.ccx_accountid WHERE FilteredAppointment.statecodename != N'Canceled' AND FilteredAppointment.owneridname IN (N'User1', N'User2', N'User3') GROUP BY FilteredAppointment.regardingobjectidname ,FilteredAppointment.owneridname ,FilteredAppointment.subject ,FilteredAppointment.scheduledstart ,FilteredAppointment.location ,FilteredCcx_member.ccx_mnemonic ORDER BY FilteredAppointment.regardingobjectidname
And my 2nd query would display one row only:
SELECT DISTINCT FilteredAppointment.regardingobjectidname ,FilteredAppointment.owneridname ,FilteredAppointment.subject ,FilteredAppointment.scheduledstart ,FilteredAppointment.location ,FilteredCcx_member.ccx_mnemonic FROM FilteredAppointment INNER JOIN FilteredAccount ON FilteredAppointment.regardingobjectid = FilteredAccount.accountid INNER JOIN FilteredCcx_member ON FilteredAccount.accountid = FilteredCcx_member.ccx_accountid WHERE FilteredAppointment.scheduledstart = (SELECT MAX(FilteredAppointment.scheduledstart) FROM FilteredAppointment WHERE FilteredAppointment.regardingobjectidname = FilteredAppointment.regardingobjectidname) AND FilteredAppointment.statecodename != N'Canceled' AND FilteredAppointment.owneridname IN (N'User1', N'User2', N'User3') GROUP BY FilteredAppointment.regardingobjectidname ,FilteredAppointment.owneridname ,FilteredAppointment.subject ,FilteredAppointment.scheduledstart ,FilteredAppointment.location ,FilteredCcx_member.ccx_mnemonic ORDER BY FilteredAppointment.regardingobjectidname
Try this:-
SELECT distinct a.date, a.company, a.companyID, a.User, a.Location, a.topic
FROM tablename a
inner join
(
Select company, companyID, User, max(date) as recent_date
from
tablename
group by company, companyID, User
) b
on a.date=b.recent_date and a.company=b.company and a.companyID=b.companyID
and a.User=b.User;
I managed to solve the issue - Thank you for the help again!
WITH apptmts AS (SELECT TOP 1 WITH TIES fa.scheduledstart,fa.location,fa.regardingobjectidname,mem.ccx_mnemonic,fa.owneridname,fa.subject FROM FilteredAppointment fa JOIN FilteredAccount acc on fa.regardingobjectid = acc.accountid JOIN FilteredCcx_member mem ON acc.accountid = mem.ccx_accountid WHERE fa.statecodename != N'Canceled' AND fa.owneridname IN (N'User1', N'User2', N'User3') ORDER BY ROW_NUMBER() OVER(PARTITION BY fa.regardingobjectidname ORDER BY fa.scheduledstart DESC) ) SELECT * FROM apptmts ORDER BY scheduledstart DESC
Using SQL Server 2012
I have seen a few threads about this topic but I can't find one that involves multiple joins in the query. I can't create a VIEW on this database so the joins are needed.
The Query
SELECT
p.Price
,s.Type
,s.Symbol
, MAX(d.Date) Maxed
FROM AdventDW.dbo.FactPrices p
INNER JOIN dbo.DimSecurityMaster s
ON s.SecurityID = p.SecurityID
INNER JOIN dbo.DimDateTime d
ON
p.DateTimeKey = d.DateTimeKey
GROUP BY p.Price ,
s.Type ,
s.Symbol
ORDER BY s.Symbol
The query works but does not produce distinct results. I am using Order by to validate the results, but it is not required once I get it working. I The result set looks like this.
Price Type Symbol Maxed
10.57 bfus *bbkd 3/31/1989
10.77 bfus *bbkd 2/28/1990
100.74049 cbus 001397AA6 8/2/2005
100.8161 cbus 001397AA6 7/21/2005
The result set I want is
Price Type Symbol Maxed
10.77 bfus *bbkd 2/28/1990
100.74049 cbus 001397AA6 8/2/2005
Here were a few other StackOverflow threads I tried but couldn't get t work with my specific query
How can I SELECT rows with MAX(Column value), DISTINCT by another column in SQL?
SQL Selecting distinct rows from multiple columns based on max value in one column
If you want data for the maximum date, use row_number() rather than group by:
SELECT ts.*
FROM (SELECT p.Price, s.Type, s.Symbol, d.Date,
ROW_NUMBER() OVER (PARTITION BY s.Type, s.Symbol
ORDER BY d.Date DESC
) as seqnum
FROM AdventDW.dbo.FactPrices p INNER JOIN
dbo.DimSecurityMaster s
ON s.SecurityID = p.SecurityID INNER JOIN
dbo.DimDateTime d
ON p.DateTimeKey = d.DateTimeKey
) ts
WHERE seqnum = 1
ORDER BY s.Symbol;
You should use a derived table since you really only want to group the DateTimeKey table to get the MAX date.
SELECT p.Price ,
s.Type ,
s.Symbol ,
tmp.MaxDate
FROM AdventDW.dbo.FactPrices p
INNER JOIN dbo.DimSecurityMaster s ON s.SecurityID = p.SecurityID
INNER JOIN
( SELECT MAX(d.Date) AS MaxDate ,
d.DateTimeKey
FROM dbo.DimDateTime d
GROUP BY d.DateTimeKey ) tmp ON p.DateTimeKey = tmp.DateTimeKey
ORDER BY s.Symbol;
/*
this is your initial select which is fine because this is base from your original criteria,
I cannot ignore this so i'll keep this in-tact. Instead from here i'll create a temp
*/
SELECT
p.Price
, s.Type
, s.Symbol
, MAX(d.Date) Maxed
INTO #tmpT
FROM AdventDW.dbo.FactPrices p
INNER JOIN dbo.DimSecurityMaster s
ON s.SecurityID = p.SecurityID
INNER JOIN dbo.DimDateTime d
ON p.DateTimeKey = d.DateTimeKey
GROUP BY p.Price ,
s.Type ,
s.Symbol
ORDER BY s.Symbol
SELECT innerTable.Price, innerTable.Symbol, innerTable.Type, innerTable.Maxed
FROM (
SELECT
ROW_NUMBER () OVER (PARTITION BY t1.Symbol, t1.Type, t1.Maxed ORDER BY t1.Maxed DESC) as row
, *
FROM #tmpT AS t1
) AS innerTable
WHERE row = 1
DROP TABLE #tmpT
I am using SQL Server 2005.
Consider the following table with three columns: issueid, date and rate: sqlfiddle.com/#!2/611682. I would like to create a new column that displays the moving average of rate for each issueid at each date. I want to call this column mse_m.
The result I am looking for is:
For issueid 1, the average on 3/31/2014 is the average of the rate values on 01/31/2014, 02/28/2014 and 3/31/2014. In other words, for each security and at each the date, the moving average is the average of the rate values for that month and the two previous months.
Here is what I have tried:
update my_table
set mse_m = (
SELECT AVG(B.rate)
FROM my_table A
OUTER APPLY (SELECT *
FROM my_table
WHERE i.issueid = A.issueid
AND i.[date] BETWEEN DATEADD(MONTH,-2,A.[date]) AND A.[date]) B
GROUP BY A.issueid, A.[date], A.rate)
from my_table i
However I get the following error:
Any help would be appreciated! Thanks!
;WITH CTE AS
(
SELECT A.issueid, A.[date], A.rate, AVG(B.rate) mse_m
FROM dbo.my_table A
OUTER APPLY (SELECT *
FROM dbo.my_table
WHERE issueid = A.issueid
AND [date] BETWEEN DATEADD(MONTH,-2,A.[date]) AND A.[date]) B
GROUP BY A.issueid, A.[date], A.rate
)
UPDATE A
SET A.mse_m = B.mse_m
FROM dbo.my_table A
INNER JOIN CTE B
ON A.issueid = B.issueid
AND A.[date] = B.[date]
AND A.rate = B.rate;
Sigh ... can anyone help? In the SQL query below, the results I get are incorrect. There are three (3) labor records in [LaborDetail]
Hours / Cost
2.75 / 50.88
2.00 / 74.00
1.25 / 34.69
There are two (2) material records in [WorkOrderInventory]
Material Cost
42.75
35.94
The issue is that the query incorrectly returns the following:
sFunction cntWO sumLaborHours sumLaborCost sumMaterialCost
ROBOT HARNESS 1 12 319.14 236.07
What am I doing wrong in the query that is causing the sums to be multiplied? The correct values are sumLaborHours = 6, sumLaborCost = 159.57, and sumMaterialCost = 78.69. Thank you for your help.
SELECT CASE WHEN COALESCE(work_orders.location, Work_Orders_Archived.location) IS NULL
THEN '' ELSE COALESCE(work_orders.location, Work_Orders_Archived.location) END AS sFunction,
(SELECT COUNT(*)
FROM work_orders
FULL OUTER JOIN Work_Orders_Archived
ON work_orders.order_number = Work_Orders_Archived.order_number
WHERE COALESCE(work_orders.order_number, Work_Orders_Archived.order_number) = '919630') AS cntWO,
SUM(Laborhours) AS sumLaborHours,
SUM(LaborCost) AS sumLaborCost,
SUM(MaterialCost*MaterialQuanity) AS sumMaterialCost
FROM work_orders
FULL OUTER JOIN Work_Orders_Archived
ON work_orders.order_number = Work_Orders_Archived.order_number
LEFT OUTER JOIN
(SELECT HoursWorked AS Laborhours, TotalDollars AS LaborCost, WorkOrderNo
FROM LaborDetail) AS LD
ON COALESCE(work_orders.order_number, Work_Orders_Archived.order_number) = LD.WorkOrderNo
LEFT OUTER JOIN
(SELECT UnitCost AS MaterialCost, Qty AS MaterialQuanity, OrderNumber
FROM WorkOrderInventory) AS WOI
ON COALESCE(work_orders.order_number, Work_Orders_Archived.order_number) = WOI.OrderNumber
WHERE COALESCE(work_orders.order_number, Work_Orders_Archived.order_number) = '919630'
GROUP BY CASE WHEN COALESCE(work_orders.location, Work_Orders_Archived.location) IS NULL
THEN '' ELSE COALESCE(work_orders.location, Work_Orders_Archived.location) END
ORDER BY sFunction
Try using the SUM function inside a derived table subquery when doing the full join to "WorkOrderInventory" like so...
select
...
sum(hrs) as sumlaborhrs,
sum(cost) as sumlaborcost,
-- calculate material cost in subquery
summaterialcost
from labordetail a
full outer join
(select ordernumber, sum(materialcost) as summaterialcost
from WorkOrderInventory
group by ordernumber
) b on a.workorderno = b.ordernumber
i created a simple sql fiddle to demonstrate this (i simplified your query for examples sake)
Looks to me that work_orders and work_orders_archived contains the same thing and you need both tables as if they were one table. So you could instead of joining create a UNION and use it as if it was one table:
select location as sfunction
from
(select location
from work_orders
union location
from work_orders_archived)
Then you use it to join the rest. What DBMS are you on? You could use WITH. But this does not exist on MYSQL.
with wo as
(select location as sfunction, order_number
from work_orders
union location, order_number
from work_orders_archived)
select sfunction,
count(*)
SUM(Laborhours) AS sumLaborHours,
SUM(LaborCost) AS sumLaborCost,
SUM(MaterialCost*MaterialQuanity) AS sumMaterialCost
from wo
LEFT OUTER JOIN
(SELECT HoursWorked AS Laborhours, TotalDollars AS LaborCost, WorkOrderNo
FROM LaborDetail) AS LD
ON COALESCE(work_orders.order_number, Work_Orders_Archived.order_number) = LD.WorkOrderNo
LEFT OUTER JOIN
(SELECT UnitCost AS MaterialCost, Qty AS MaterialQuanity, OrderNumber
FROM WorkOrderInventory) AS WOI
ON COALESCE(work_orders.order_number, Work_Orders_Archived.order_number) = WOI.OrderNumber
where wo.order_number = '919630'
group by sfunction
order by sfunction
The best guess is that the work orders appear more than once in one of the tables. Try these queries to check for duplicates in the two most obvious candidate tables:
select cnt, COUNT(*), MIN(order_number), MAX(order_number)
from (select order_number, COUNT(*) as cnt
from work_orders
group by order_number
) t
group by cnt
order by 1;
select cnt, COUNT(*), MIN(order_number), MAX(order_number)
from (select order_number, COUNT(*) as cnt
from work_orders_archived
group by order_number
) t
group by cnt
order by 1;
If either returns a row where cnt is not 1, then you have duplicates in the tables.