My tables:
Order is:
PurchaseOrderHead
PurchaseOrder
ReceivingNoteHead
ReceivingNote
I want the output like this
MaterialID, PO.Quantity, RN.Quantity so far
There can be multiple receiving notes for a given purchaseorderhead_id as every ReceivingNoteHead will have a PurchaseOrderHeadID.
My attempt:
select
PurchaseOrder.MaterialID,
sum(distinct PurchaseOrder.Quantity) as "Sum_Quantity",
sum(ReceivingNote.Quantity) as "ReceivingNote_Quantity",
PurchaseOrderHead.id
from
(((dbo.PurchaseOrder
inner join
dbo.PurchaseOrderHead on (PurchaseOrderHead.id = PurchaseOrder.PurchaseOrderHeadID))
left outer join
dbo.ReceivingNoteHead ReceivingNoteHead (ReceivingNoteHead.PurchaseOrderHeadID = PurchaseOrderHead.id))
left outer join
dbo.ReceivingNote on (ReceivingNote.ReceivingNoteHeadID = ReceivingNoteHead.id))
group by
PurchaseOrder.MaterialID,
PurchaseOrderHead.id
having
(PurchaseOrderHead.id = 1004)
But ReceivingNote Quantities are repeated when there's no ReceivingNote MaterialID that matches PurchaseOrder's MaterialID.
This also does not work when theres multiple same MaterialID in either PurchaseOrder or ReceivingNote
I would like to learn whether I need to break the ReceivingNote table into 2 tables because of PurchaseOrderHeadID? And I want to get rid of the sum distinct because it's not the way I want it to be.
Maybe by first aggregating the material purchases in a sub-query.
Then left join that to the materials on the receiving end.
Untested notepad scribble:
SELECT
poMat.MaterialID,
poMat.TotQuantity AS [PurchaseOrder_Quantity],
SUM(rn.Quantity) AS [ReceivingNote_Quantity],
poMat.PurchaseOrderHeadID
FROM
(
SELECT
po.PurchaseOrderHeadID,
po.MaterialID,
SUM(po.Quantity) AS TotQuantity
FROM dbo.PurchaseOrder po
-- Uncomment to filter on the PurchaseOrderHeadID
-- WHERE po.PurchaseOrderHeadID = 1004
GROUP BY
po.PurchaseOrderHeadID,
po.MaterialID
) poMat
LEFT JOIN dbo.ReceivingNoteHead rnH
ON rnH.PurchaseOrderHeadID = poMat.PurchaseOrderHeadID
LEFT JOIN dbo.ReceivingNote rn
ON rn.ReceivingNoteHeadID = rnH.id
AND rn.MaterialID = poMat.MaterialID
GROUP BY
poMat.PurchaseOrderHeadID,
poMat.MaterialID,
poMat.TotQuantity
ORDER BY
poMat.PurchaseOrderHeadID,
poMat.MaterialID;
This however, won't show received materials that don't have a matching purchased material.
You are getting duplicate because the table ReceivingNoteHead does not have the PurchaseOrder.ID in it. Add the column PurchaseOrderID in ReceivingNoteHead and you should be good to go
select
PurchaseOrder.MaterialID,
sum(PurchaseOrder.Quantity) as "Sum_Quantity",
sum(ReceivingNote.Quantity) as "ReceivingNote_Quantity",
PurchaseOrderHead.id
from
dbo.PurchaseOrder
inner join
dbo.PurchaseOrderHead on PurchaseOrderHead.id = PurchaseOrder.PurchaseOrderHeadID
left outer join
dbo.ReceivingNoteHead ReceivingNoteHead ReceivingNoteHead.PurchaseOrderHeadID = PurchaseOrderHead.id *and ReceivingNoteHead.PurchaseOrderID=PurchaseOrder.ID*
left outer join
dbo.ReceivingNote on ReceivingNote.ReceivingNoteHeadID = ReceivingNoteHead.id
group by
PurchaseOrder.MaterialID,
PurchaseOrderHead.id
having
PurchaseOrderHead.id = 1004
Related
I have 3 tables in that 2 tables are master table and 3rd is transaction table. i need to get count from transaction table for each value in other two table without loosing rows in mater table
i need result like below
Table layout for understanding
This is the code i have tried,
select s.status_name, e.machine_group_name, qty = COALESCE(COUNT(e.id),0)
from tbl_status s
left outer JOIN tbl_transaction as e ON e.status_name = s.status_name
group by e.machine_group_name, s.status_name
This is solution i have figured:
select m.machine_group_name, s.status_name, qty = COUNT(e.id) from
tbl_machine_group as m
cross join tbl_status as s
left outer join tbl_transaction as e on e.status_name = s.status_name
and e.machine_group_name = m.machine_group_name
group by m.machine_group_name, s.status_name
order by machine_group_name
select
MC_Group_Name
,Status_Name
,count(1) as [Count of Transaction]
from
tbl_Transaction tbl_3
left join tbl_Machine_Group tbl_1
on tbl_3.MC_Group_Name = tbl_1.MC_Group_Name
left join tbl_Status tbl_2
on tbl_3.Status_Name = tbl_2.Status_Name
group by
MC_Group_Name
,Status_Name
We have many complex queries which involve a lot of columns and joins (see the example below) that are implemented as views.
In some cases these queries return duplicate rows which then have to be programmatically removed by the consuming app. Therefore, we would like to enhance the SQL query to eliminate the duplicates, and speed up the retrieval process.
I know that I can use OVER / PARTITION BY logic to do this, but I am not sure of how to modify the queries to obtain a working syntax.
Here is an example:
SELECT
Main.MfgOrder.OrderNumber,
Main.MfgOrder.DesignBOMID,
Main.Design_Plant.PlantID,
Main.MfgOrder_Operation.OrderOpID,
Main.MfgOrder_Operation.DesignOpID,
Main.MfgOrder_Operation.OpSeq,
Main.MfgOrder_Operation.Description,
Main.MfgOrder_Operation.CompletionStatus,
Main.MfgOrder__Shift.OrderShiftID,
Main.MfgOrder__Shift.WorkCenterMachineID,
Main.MfgOrder___Event.OrderEventID,
Main.MfgOrder____Reel.OrderReelID,
Main.MfgOrder____Reel.ReelNumber,
Main.MfgOrder____Reel.Location,
Main.MfgOrder____Reel.Test_Status AS Test_Status_Reel,
Main.MfgOrder____Reel.Test_Disposition AS Test_Disposition_Reel,
Main.MfgOrder____Reel.LabReleased,
Main.MfgOrder____Reel.ShipReelsBypassSet,
Main.MfgOrder_____Length.OrderLengthID,
Main.MfgOrder_____Length.LengthType,
Main.MfgOrder_____Length.LocationOnReel,
Main.MfgOrder_____Length.LocationOnLength,
Main.MfgOrder_____Length.TrialNumber,
Main.MfgOrder_____Length.SampleNumber,
Main.MfgOrder_____Length.PrintNumber,
Main.MfgOrder_____Length.Test_Status AS Test_Status_Length,
Main.MfgOrder_____Length.Test_Category,
Main.MfgOrder_____Length.Test_Disposition AS Test_Disposition_Length,
Main.MfgOrder_____Length.SampleSubmittedBy,
Main.MfgOrder_____Length.SampleSubmittedDate,
Main.MfgOrder_____Length.BypassTesting,
Main.MfgOrder_____Length_OperatorQty.Sample1Destination,
Main.MfgOrder_____Length_OperatorQty.Sample2Destination,
Main.MfgOrder_____Length_OperatorQty.Sample3Destination,
Main.MfgOrder______Component.OrderComponentID,
Main.MfgOrder______Component.DesignComponentID,
Main.MfgOrder______Component.ItemNo,
Main.MfgOrder_______Test.LabTestID,
Main.MfgOrder_______Test.OrderTestID,
Main.MfgOrder_______Test.TestComplete,
Main.MfgOrder_______Test.TestStatus,
Main.MfgOrder________Marker2.OrderMarkerID,
Master.Color.ColorName,
Master.LabTest.ExcludeFromPassFail,
CASE
WHEN Main.Design_Component.Component_Label IS NULL
THEN 'Unknown'
ELSE Main.Design_Component.Component_Label
END AS Component_Label
FROM
Main.MfgOrder
INNER JOIN
Main.Design__BOM ON Main.MfgOrder.DesignBOMID = Main.Design__BOM.DesignBOMID
INNER JOIN
Main.Design_Plant ON Main.Design__BOM.DesignPlantID = Main.Design_Plant.DesignPlantID
INNER JOIN
Main.MfgOrder_Operation ON Main.MfgOrder.OrderNumber = Main.MfgOrder_Operation.OrderNumber
INNER JOIN
Main.MfgOrder__Shift ON Main.MfgOrder_Operation.OrderOpID = Main.MfgOrder__Shift.OrderOpID
INNER JOIN
Main.MfgOrder___Event ON Main.MfgOrder__Shift.OrderShiftID = Main.MfgOrder___Event.OrderShiftID
INNER JOIN
Main.MfgOrder____Reel ON Main.MfgOrder___Event.OrderEventID = Main.MfgOrder____Reel.OrderEventID
INNER JOIN
Main.MfgOrder_____Length ON Main.MfgOrder____Reel.OrderReelID = Main.MfgOrder_____Length.OrderReelID
LEFT OUTER JOIN
Main.MfgOrder______Component ON Main.MfgOrder_____Length.OrderLengthID = Main.MfgOrder______Component.OrderLengthID
LEFT OUTER JOIN
Main.MfgOrder_______Test ON Main.MfgOrder______Component.OrderComponentID = Main.MfgOrder_______Test.OrderComponentID
LEFT OUTER JOIN
Main.MfgOrder________Marker2 ON Main.MfgOrder_______Test.OrderTestID = Main.MfgOrder________Marker2.OrderTestID
LEFT OUTER JOIN
Main.Design_Component ON Main.MfgOrder______Component.DesignComponentID = Main.Design_Component.DesignComponentID
LEFT OUTER JOIN
Master.Color ON Main.MfgOrder______Component.TapeColorID = Master.Color.ColorNumber
LEFT OUTER JOIN
Master.LabTest ON Main.MfgOrder_______Test.LabTestID = Master.LabTest.LabTestID
LEFT OUTER JOIN
Main.MfgOrder_____Length_OperatorQty ON Main.MfgOrder______Component.OrderLengthID = Main.MfgOrder_____Length_OperatorQty.OrderLengthID
you can use row_number as below: Below query will not select duplicate only on OrderNumber, if you need to add other columns you add accordingly
Select * from (
Select
RowN = Row_Number() over( partition by Main.MfgOrder.OrderNumber order by Main.MfgOrder.OrderNumber),
--- All your select columns and all your query with joins
) a
Where a.RowN = 1
Is the entire row duplicated exactly? If so then just add DISTINCT
SELECT DISTINCT
...
FROM
...
If you are getting duplicate rows where most columns the same but some columns are different then GROUP BY the columns that are the same and select MIN(column_name) for the ones that are causing the extra rows to appear.
I want to select the Total "sales" of a specific "main_category" for the year 2016
(main categories that don't have sales in that year should appear as zero)
I have managed to select the "sales" of a specific "main category" with all the other "main_categories" (that doesn't have any sales) appearing as zero using below query:
SELECT
mc.name,
ISNULL(SUM(s.no_of_units * b.unit_price),0) AS tCatSales
FROM Sales s
INNER JOIN Invoice i ON i.invoice_ID = s.invoice_id
INNER JOIN Inventory inv ON inv.inventory_ID = s.inventory_ID
INNER JOIN Batch b ON b.batch_ID = inv.batch_ID
INNER JOIN Products p ON p.product_id = b.product_ID
INNER JOIN Category c ON c.category_ID = p.category_id
RIGHT JOIN Main_Category mc ON mc.cat_id = c.main_category
--WHERE YEAR(i.trans_date) = 2016
GROUP BY mc.name
--HAVING YEAR(i.trans_date)=2016
but when I try to further segregate it for year 2016 ONLY either by WHERE clause or HAVING clause, it stops showing "main_category" names that have zero sales in the year.
One thing that I can think of is to give the query invoices only from 2016
which I tried to did by doing something like,
Replacing the line:
INNER JOIN Invoice i ON i.invoice_ID = s.invoice_id
with:
INNER JOIN Invoice i ON i.invoice_ID IN (SELECT invoice_id FROM Invoice in2 WHERE Year(in2.trans_date)=2016)
which did display the categories with zero values but with increased the calculated Sales Amount (from 2069 to something 203151022.75).
I understand this addition is somewhat illogical and disrupts the whole Inner Joins but so far these are the closest thing I can think of or find on the web.
I REPEAT the desired result is: main categories that don't have sales in that year should appear as zero with the year given year/month/date
As Sean and Eli mentioned, RIGHT JOIN is not recommended, you may change it to LEFT JOIN, OR use subquery like this:
SELECT
mc.name,
tCatSales = ISNULL(
(
SELECT
SUM(s.no_of_units * b.unit_price) AS tCatSales
FROM Sales s
INNER JOIN Invoice i ON i.invoice_ID = s.invoice_id
INNER JOIN Inventory inv ON inv.inventory_ID = s.inventory_ID
INNER JOIN Batch b ON b.batch_ID = inv.batch_ID
INNER JOIN Products p ON p.product_id = b.product_ID
INNER JOIN Category c ON c.category_ID = p.category_id
WHERE mc.cat_id = c.main_category
AND YEAR(i.trans_date) = 2016
) , 0)
FROM Main_Category mc
try this:
WHERE ISNULL(YEAR(i.trans_date), 1) = 2016
if you put simple equals conditions on outer join it will eliminate nulls, which give zero-valued rows you desire.
Also note that something like:
WHERE YEAR(i.trans_date) = 2016
is not sargable, see here
I am new to MS SQL and am having trouble joining 4 tables within a query.
I am trying to join Orders, Order Lines, Client, and Picked tables to create a query to show quantity ordered and picked for a client. If I comment out the last inner join for Picked, I get the correct results. When I include the inner join for Picked the query returns results but data that should be in the Picked fields is NULL. One order line can have 1 or more Picked lines.
SELECT W_Warehouse, OH.OrderID, OH.RequiredDate, C.Client, OL.LineNbr, OL.QtyOrd, P.QtyPick
FROM Order
INNER JOIN Warehouse on Order.OH_WHS = Warehouse.W_PK
INNER JOIN Client on Order.O_Client = Client.C_PK
INNER JOIN OrderLine on Order.O_PK = OrderLine.OL_PK
INNER JOIN Picked on OrderLine.O_PK = Picked.P_PK
WHERE C.CLIENT = 'WENDYS'
Without knowing the data in the tables it is difficult to answer precisely.
But as you say you have 1+ rows in the Picked table, you probably want to do aggregation with GROUP BY and SUM()
Maybe this is what you're looking for:
SELECT
W.W_Warehouse,
OH.OrderID,
OH.RequiredDate,
C.Client,
OL.LineNbr,
OL.QtyOrd,
P.QtyPick
FROM
Order OH
INNER JOIN Warehouse W on OH.OH_WHS = W.W_PK
INNER JOIN Client C on OH.O_Client = C.C_PK
INNER JOIN OrderLine OL on OH.O_PK = OL.OL_PK
CROSS APPLY (
select sum(QtyPick) as QtyPick
from Picked P
where OL.O_PK = P.P_PK
) P
WHERE
C.CLIENT = 'WENDYS'
It calculates the sum of QtyPick separately so it doesn't increase the number of lines in the result.
I have an existing proc which I have chopped up for brevity's sake
SELECT col1, col2
FROM (
col1, col2
SELECT col3--aggregate columns
FROM iep i
INNER JOIN student s ON s.studentID = i.studentID
INNER JOIN dbo.IDuration id ON i.IepID = id.iepID
INNER JOIN AppointmentStudent as ON s.studentID = as.studentID
INNER JOIN Appointment a ON as.appointmentID = a.appointmentID
INNER JOIN AppointmentTherapist at ON a.appointmentID = at.appointmentID
WHERE s.studentID = #studentID
GROUP BY col1, col2
) t
The aggregate columns summarizes appointments into the weeks of the year, but it only does sos for the weeks the student had appointments. I have an additional table called SchoolWeekYear that is populated with all of the weeks of the year that I am trying to integrate to this proc so I get 52 records back and not just the handful I am currently getting.
SELECT col1, col2
FROM (
col1, col2
SELECT col3--aggregate columns
FROM iep i
INNER JOIN student s ON s.studentID = i.studentID
INNER JOIN dbo.IDuration id ON i.IepID = id.iepID
INNER JOIN AppointmentStudent as ON s.studentID = as.studentID
INNER JOIN Appointment a ON as.appointmentID = a.appointmentID
LEFT OUTER JOIN SchoolWeekYear swy on a.calWeekNumber = swy.calWeekNumber
INNER JOIN AppointmentTherapist at ON a.appointmentID = at.appointmentID
WHERE s.studentID = #studentID
GROUP BY col1, col2
) t
Is this possible?
You need to integrate SchoolWeekYear into the existing table set at an earlier stage.
To show you the principle, let us simplify the problem even further. Let there be a table called WeeklyData with columns WeekNumber and SomeData. Some weeks might have multiple entries, some others none. So this query
SELECT
WeekNumber,
AGG(SomeData)
FROM
WeeklyData
GROUP BY
WeekNumber
;
would return only weeks present in WeeklyData. If you want to return data for all weeks, use a corresponding reference table (let it be called AllWeeks) like this:
SELECT
aw.WeekNumber,
AGG(wd.SomeData)
FROM
AllWeeks AS aw
LEFT JOIN
WeeklyData AS wd ON aw.WeekNumber = wd.WeekNumber
GROUP BY
aw.WeekNumber
;
So, you take the reference table (AllWeeks) and join the data table (WeeklyData) to it, not the other round.
Now, what if the original query was slightly more complex? Let us now suppose the data table is called StudentWeeklyData and has a column called StudentID which is a reference to a Students table. Let us also imagine the query is similar to yours in that it logically includes the Students table before the data table is joined and filters the results on the primary key of Students:
SELECT
s.StudentID,
s.StudentName,
swd.WeekNumber,
AGG(swd.SomeData)
FROM
Students AS s
INNER JOIN
StudentWeeklyData AS swd ON s.StudentID = swd.StudentID
WHERE
s.StudentID = #StudentID
GROUP BY
s.StudentID,
s.StudentName,
swd.WeekNumber
;
(Not every detail matters here, I just wanted to use a more similar example for you that would still be simple enough to understand.) Again, this would return only weeks where the specified student has data in StudentWeeklyTable. If you wanted to return all weeks for the student (some of them potentially empty, of course), this is how you could go about it:
SELECT
s.StudentID,
s.StudentName,
aw.WeekNumber,
AGG(swd.SomeData)
FROM
Students AS s
CROSS JOIN
AllWeeks AS aw
LEFT JOIN
StudentWeeklyData AS swd ON s.StudentID = swd.StudentID
AND aw.WeekNumber = swd.WeekNumber
WHERE
s.StudentID = #StudentID
GROUP BY
s.StudentID,
s.StudentName,
aw.WeekNumber
;
Here you can see again that the AllWeeks table is included before the data table. The difference to the previous case is we are not left-joining the result of the join between Students and StudentWeekly to AllWeeks, nor are we left-joining the data table itself specifically to AllWeeks. Instead, the data table is joined to the result of a cross join, Students × AllWeeks.
Returning to your specific situation, I realise that in your case even more tables are involved. Since you are not specifying how all those tables are related to one another, I can only guess that SchoolWeekYear should be cross-joined somewhere after FROM and before this line:
INNER JOIN Appointment a ON as.appointmentID = a.appointmentID
and that the said line should be modified like this:
LEFT JOIN Appointment a ON as.appointmentID = a.appointmentID
AND swy.calWeekNumber = a.calWeekNumber
the swy being an alias assigned to SchoolWeekYear.
It is also worth noting that there is a subsequent inner join with AppointmentTherapist. That join would eliminate the effect of the above left join if it remained unchanged, because its condition references the Appointment table. Perhaps, the syntactically easiest way to fix the issue would be to change that inner join to a left one too, although there is another way: instead of
LEFT JOIN Appointment a ON as.appointmentID = a.appointmentID
AND swy.calWeekNumber = a.calWeekNumber
LEFT JOIN AppointmentTherapist at ON a.appointmentID = at.appointmentID
you could use this syntax:
LEFT JOIN
Appointment a
INNER JOIN AppointmentTherapist at ON a.appointmentID = at.appointmentID
ON as.appointmentID = a.appointmentID
AND swy.calWeekNumber = a.calWeekNumber
That way the logical order of joining would be changed: Appointment and AppointmentTherapist would be first inner-joined with each other, then the result set would be outer-joined to the result of the previously specified joins.
It is possible. But if you have multiple row with some calWeekNumber on the SchoolWeekYear table, your aggregate function return wrong result.
If you want all lines in SchoolWeekYear shown, regardless of a match, you should use RIGHT OUTER JOIN instead of LEFT.