We are using a asset management software and unfortunatly unable to get the proper support in DIY implementation. I was looking to get an asset report (Laptop Count based on model and state).
With the help of google I manage to create a pivot for the required report. Now, I am stuck with the last part of the task. which is to get a total row for asset state e.g. (In - Store, New - In Store) at the bottom.
This is the Query and I am unable to understand how to add the total row.
SELECT
*,
ISNULL([In Use], 0.) + ISNULL([Used - In Store], 0.) + ISNULL([In Store], 0.) + ISNULL([New - In Store], 0.) + ISNULL([Damaged], 0.) + ISNULL([Faulty], 0.) AS TOTAL
FROM
(
SELECT
max("product"."COMPONENTNAME") AS "Product",
max("state"."DISPLAYSTATE") AS "Asset State",
count("resource"."RESOURCENAME") AS "Asset Count"
FROM
"Resources" "resource"
LEFT JOIN "ComponentDefinition" "product" ON "resource"."COMPONENTID" = "product"."COMPONENTID"
LEFT JOIN "ResourceState" "state" ON "resource"."RESOURCESTATEID" = "state"."RESOURCESTATEID"
LEFT JOIN "ResourceOwner" "rOwner" ON "resource"."RESOURCEID" = "rOwner"."RESOURCEID"
LEFT JOIN "ResourceAssociation" "rToAsset" ON "rOwner"."RESOURCEOWNERID" = "rToAsset"."RESOURCEOWNERID"
LEFT JOIN "SDUser" "sdUser" ON "rOwner"."USERID" = "sdUser"."USERID"
LEFT JOIN "AaaUser" "aaaUser" ON "sdUser"."USERID" = "aaaUser"."USER_ID"
WHERE
product.COMPONENTNAME LIKE ('Thinkpad%')
GROUP BY
"product"."COMPONENTNAME",
"state"."DISPLAYSTATE"
) d pivot (
sum("Asset Count") for "Asset State" in (
[In Use], [Used - In Store], [In Store],
[New - In Store], [Damaged], [Faulty]
)
) piv
You can use GROUP BY ... WITH CUBE to automatically generate totals in both dimensions. This will add a totals row and will also eliminate the need to explicitly calculate the totals column.
SELECT piv.*
FROM (
SELECT
ISNULL(product."COMPONENTNAME", 'Totals:') AS "Product",
ISNULL(state."DISPLAYSTATE", 'TOTAL') AS "Asset State",
count(resource."RESOURCENAME") AS "Asset Count"
FROM
"Resources" "resource"
LEFT JOIN "ComponentDefinition" "product" ON "resource"."COMPONENTID" = "product"."COMPONENTID"
LEFT JOIN "ResourceState" "state" ON "resource"."RESOURCESTATEID" = "state"."RESOURCESTATEID"
LEFT JOIN "ResourceOwner" "rOwner" ON "resource"."RESOURCEID" = "rOwner"."RESOURCEID"
LEFT JOIN "ResourceAssociation" "rToAsset" ON "rOwner"."RESOURCEOWNERID" = "rToAsset"."RESOURCEOWNERID"
LEFT JOIN "SDUser" "sdUser" ON "rOwner"."USERID" = "sdUser"."USERID"
LEFT JOIN "AaaUser" "aaaUser" ON "sdUser"."USERID" = "aaaUser"."USER_ID"
WHERE
product.COMPONENTNAME LIKE ('Thinkpad%')
GROUP BY
product."COMPONENTNAME",
state."DISPLAYSTATE"
WITH CUBE
) d
pivot (
sum("Asset Count") for "Asset State" in (
[In Use], [Used - In Store], [In Store],
[New - In Store], [Damaged], [Faulty],
[TOTAL])
) piv
ORDER BY
CASE WHEN piv.Product = 'Totals:' THEN 2 ELSE 1 END,
piv.Product
ISNULL() is used to assign labels to the grouped product and status names, which would otherwise be null. [Total] has also been added to the pivot list and removed from the final select list. You may need to edit the select list to add ISNULL() functions if you want to replace null values with zeros. (E.g., ISNULL([In Use], 0) AS [In Use], ...)
Results:
Product
In Use
Used - In Store
In Store
New - In Store
Damaged
Faulty
TOTAL
Thinkpad 101
2
2
3
1
1
1
10
Thinkpad 102
1
null
null
null
null
null
1
Thinkpad 103
null
null
null
null
1
1
2
Totals:
3
2
3
1
2
2
13
You can also code a similar result using GROUP BY ... WITH ROLLUP for the rows together with "conditional aggregation" to define the columns as a replacement for the pivot.
SELECT
ISNULL(product.COMPONENTNAME, 'Total') AS Product,
COUNT(CASE WHEN state.DISPLAYSTATE = 'In Use' THEN 1 END) AS [In Use],
COUNT(CASE WHEN state.DISPLAYSTATE = 'Used - In Store' THEN 1 END) AS [Used - In Store],
COUNT(CASE WHEN state.DISPLAYSTATE = 'In Store' THEN 1 END) AS [In Store],
COUNT(CASE WHEN state.DISPLAYSTATE = 'New - In Store' THEN 1 END) AS [New - In Store],
COUNT(CASE WHEN state.DISPLAYSTATE = 'Damaged' THEN 1 END) AS [Damaged],
COUNT(CASE WHEN state.DISPLAYSTATE = 'Faulty' THEN 1 END) AS [Faulty],
COUNT(*) AS TOTAL
FROM
"Resources" "resource"
LEFT JOIN "ComponentDefinition" "product" ON "resource"."COMPONENTID" = "product"."COMPONENTID"
LEFT JOIN "ResourceState" "state" ON "resource"."RESOURCESTATEID" = "state"."RESOURCESTATEID"
LEFT JOIN "ResourceOwner" "rOwner" ON "resource"."RESOURCEID" = "rOwner"."RESOURCEID"
LEFT JOIN "ResourceAssociation" "rToAsset" ON "rOwner"."RESOURCEOWNERID" = "rToAsset"."RESOURCEOWNERID"
LEFT JOIN "SDUser" "sdUser" ON "rOwner"."USERID" = "sdUser"."USERID"
LEFT JOIN "AaaUser" "aaaUser" ON "sdUser"."USERID" = "aaaUser"."USER_ID"
WHERE
product.COMPONENTNAME LIKE ('Thinkpad%')
GROUP BY product.COMPONENTNAME WITH ROLLUP
ORDER BY
CASE WHEN GROUPING(product.COMPONENTNAME) = 0 THEN 1 ELSE 2 END,
product.COMPONENTNAME
"Conditional aggregation" is an informal term for usieng aggregation functions like SUM() or COUNT() together with a CASE expression. If the condition is true, the THEN clause provides the data to be aggregated. When false, the implicit ELSE null value is ignored.
Results:
Product
In Use
Used - In Store
In Store
New - In Store
Damaged
Faulty
TOTAL
Thinkpad 101
2
2
3
1
1
1
10
Thinkpad 102
1
0
0
0
0
0
1
Thinkpad 103
0
0
0
0
1
1
2
Total
3
2
3
1
2
2
13
See this db<>fiddle for examples of both using simplified test data.
You could use 'UNION' to join two queries together to give you a total row; it'd be something like:
SELECT *, ISNULL([In Use], 0.) + ISNULL([Used - In Store], 0.) + ISNULL([In Store], 0.) + ISNULL([New - In Store], 0.) + ISNULL([Damaged], 0.) + ISNULL([Faulty], 0.) AS TOTAL
FROM (
SELECT max("product"."COMPONENTNAME") AS "Product", max("state"."DISPLAYSTATE") AS "Asset State", count("resource"."RESOURCENAME") AS "Asset Count" FROM "Resources" "resource"
LEFT JOIN "ComponentDefinition" "product" ON "resource"."COMPONENTID"="product"."COMPONENTID"
LEFT JOIN "ResourceState" "state" ON "resource"."RESOURCESTATEID"="state"."RESOURCESTATEID"
LEFT JOIN "ResourceOwner" "rOwner" ON "resource"."RESOURCEID"="rOwner"."RESOURCEID" LEFT JOIN "ResourceAssociation" "rToAsset" ON "rOwner"."RESOURCEOWNERID"="rToAsset"."RESOURCEOWNERID" LEFT JOIN "SDUser" "sdUser" ON "rOwner"."USERID"="sdUser"."USERID" LEFT JOIN "AaaUser" "aaaUser" ON "sdUser"."USERID"="aaaUser"."USER_ID"
WHERE product.COMPONENTNAME LIKE 'ThinkPad %'
GROUP BY "product"."COMPONENTNAME","state"."DISPLAYSTATE")d
UNION
SELECT "Totals:", ISNULL([In Use], 0.) + ISNULL([Used - In Store], 0.) + ISNULL([In Store], 0.) + ISNULL([New - In Store], 0.) + ISNULL([Damaged], 0.) + ISNULL([Faulty], 0.) AS TOTAL
FROM (
SELECT max("product"."COMPONENTNAME") AS "Product", max("state"."DISPLAYSTATE") AS "Asset State", count("resource"."RESOURCENAME") AS "Asset Count" FROM "Resources" "resource"
LEFT JOIN "ComponentDefinition" "product" ON "resource"."COMPONENTID"="product"."COMPONENTID"
LEFT JOIN "ResourceState" "state" ON "resource"."RESOURCESTATEID"="state"."RESOURCESTATEID"
LEFT JOIN "ResourceOwner" "rOwner" ON "resource"."RESOURCEID"="rOwner"."RESOURCEID" LEFT JOIN "ResourceAssociation" "rToAsset" ON "rOwner"."RESOURCEOWNERID"="rToAsset"."RESOURCEOWNERID" LEFT JOIN "SDUser" "sdUser" ON "rOwner"."USERID"="sdUser"."USERID" LEFT JOIN "AaaUser" "aaaUser" ON "sdUser"."USERID"="aaaUser"."USER_ID"
WHERE product.COMPONENTNAME LIKE 'ThinkPad %'
GROUP BY "state"."DISPLAYSTATE")d
Related
This question already has answers here:
Two SQL LEFT JOINS produce incorrect result
(3 answers)
Closed 9 months ago.
I may have messed up the joins or there may be another way of writing what I am trying to achieve.
My current query is this:
SELECT
i.SKI_NAME AS Description,
l.SKV_QUANTITY_IN_STOCK AS Qty,
SUM(CASE WHEN ad.AVN_STATUS = 'D' THEN li.AVL_QUANTITY ELSE '0' END) AS AdviceQty,
SUM(CASE WHEN con.HCT_STATUS = 'D' THEN item.HIT_QUANTITY ELSE '0' END) AS HireQty
FROM
TH_STOCK_LEVELS l
LEFT JOIN TH_STOCK_ITEMS i ON l.SKV_STOCK_NUMBER = i.SKI_STOCK_NUMBER
LEFT JOIN TH_ADVICE_NOTE_LINES li ON i.SKI_NAME = li.AVL_DESCRIPTION
LEFT JOIN TH_HIRE_ITEMS Item ON li.AVL_DESCRIPTION = Item.HIT_DESCRIPTION
LEFT JOIN TH_ADVICE_NOTES ad ON ad.AVN_ID = li.AVL_NOTE_NUMBER
LEFT JOIN TH_HIRE_CONTRACTS con ON con.HCT_CONTRACT_NUMBER = Item.HIT_CONTRACT_NUMBER
WHERE
l.SKV_DEPOT_ID = 7
GROUP BY i.SKI_NAME, l.SKV_QUANTITY_IN_STOCK;
This displays the following output:
Description
Qty
AdviceQty
HireQty
Some Item
2
400
100
Some Item
0
100
0
Which is incorrect, as it seems to be totalling all previous Advice's and Hire's and not just the ones with Status 'D'.
If I do the following to the query (comment some lines out):
SELECT
i.SKI_NAME AS Description,
l.SKV_QUANTITY_IN_STOCK AS Qty,
SUM(CASE WHEN ad.AVN_STATUS = 'D' THEN li.AVL_QUANTITY ELSE '0' END) AS AdviceQty
--SUM(CASE WHEN con.HCT_STATUS = 'D' THEN item.HIT_QUANTITY ELSE '0' END) AS HireQty
FROM
TH_STOCK_LEVELS l
LEFT JOIN TH_STOCK_ITEMS i ON l.SKV_STOCK_NUMBER = i.SKI_STOCK_NUMBER
LEFT JOIN TH_ADVICE_NOTE_LINES li ON i.SKI_NAME = li.AVL_DESCRIPTION
--LEFT JOIN TH_HIRE_ITEMS Item ON li.AVL_DESCRIPTION = Item.HIT_DESCRIPTION
LEFT JOIN TH_ADVICE_NOTES ad ON ad.AVN_ID = li.AVL_NOTE_NUMBER
--LEFT JOIN TH_HIRE_CONTRACTS con ON con.HCT_CONTRACT_NUMBER = Item.HIT_CONTRACT_NUMBER
WHERE
l.SKV_DEPOT_ID = 7
GROUP BY i.SKI_NAME, l.SKV_QUANTITY_IN_STOCK;
The output is correct, although I am now missing a column due to the comments. This also works if I comment out the Advice tables, the HireQty column would be correct.
Description
Qty
AdviceQty
Some Item
2
10
Some Item
0
0
How do I get this to display the correct data for both AdviceQty & HireQty without having to do them separately?
Sometimes, CASE statement doesn't work. You can try with IFs and see if it is working.
SELECT
i.SKI_NAME AS Description,
l.SKV_QUANTITY_IN_STOCK AS Qty, SUM(IF(ad.AVN_STATUS='D',li.AVL_QUANTITY,0)) AS AdviceQty, SUM(IF(con.HCT_STATUS='D',item.HIT_QUANTITY,0)) AS HireQty
FROM
TH_STOCK_LEVELS l
LEFT JOIN TH_STOCK_ITEMS i ON l.SKV_STOCK_NUMBER = i.SKI_STOCK_NUMBER LEFT JOIN TH_ADVICE_NOTE_LINES li ON i.SKI_NAME = li.AVL_DESCRIPTION LEFT JOIN TH_HIRE_ITEMS Item ON li.AVL_DESCRIPTION
= Item.HIT_DESCRIPTION LEFT JOIN TH_ADVICE_NOTES ad ON ad.AVN_ID = li.AVL_NOTE_NUMBER LEFT JOIN TH_HIRE_CONTRACTS con ON con.HCT_CONTRACT_NUMBER = Item.HIT_CONTRACT_NUMBER
WHERE
l.SKV_DEPOT_ID = 7
GROUP BY i.SKI_NAME, l.SKV_QUANTITY_IN_STOCK;
For the following query I have tried 3 separate where clause
select
i.po_internal,
o.po_internal,
status,
date(date_trunc('month', date + interval '- 7 hours')) "month",
category,
quantity_value * price "total sales" ,
case
when category = 'Countertop'
then quantity_value * price
else 0
end as "counter sales",
case
when category = 'Floor'
then quantity_value * price
else 0
end as "flooring sales"
from xxx_orders_products i
left join xxx_orders o on o.po_internal = i.po_internal
Option 1 returns 2 results for the test po_internal number
where
(status = 'Processed' or status='Pending')
and
category = 'Countertop'
Option 2 only returns 1 row with != or <>
where
status != 'Canceled'
and
category = 'Countertop'
But if I add a filter for the specific PO it goes back to 2 rows
where
status != 'Canceled'
and
category = 'Countertop'
--and o.po_internal = 'xxx000002764'
How is it possible the where clause with != is filter the row with "Total Sales" = 602 pictured above.
Here is the source Table Data for those who are asking. I still haven't found a viable explanation. The top row is orders and the bottom 4 rows are the products.
Update: 2-25-2021
So some additional oddities to consider.
The following query "A" returns 1 row
select * from xxx_orders_products left outer join xxx_orders on xxx_orders_products.po_internal = xxx_orders.po_internal
where xxx_orders.po_internal = 'xxx000002764' and xxx_orders_products.category = 'Countertop'
The following query "B" returns 2
select count(*) from xxx_orders_products left outer join xxx_orders on xxx_orders_products.po_internal = xxx_orders.po_internal
where xxx_orders.po_internal = 'xxx000002764' and xxx_orders_products.category = 'Countertop'
The following query "C" returns 2 rows
select xxx_orders_products.* from xxx_orders_products left outer join xxx_orders on xxx_orders_products.po_internal = xxx_orders.po_internal
where xxx_orders.po_internal = 'xxx000002764' and xxx_orders_products.category = 'Countertop'
The following query "D" returns 2 rows
select * from xxx_orders, xxx_orders_products
where xxx_orders_products.po_internal = xxx_orders.po_internal(+) and
xxx_orders_products.po_internal = 'xxx000002764' and
xxx_orders_products.category = 'Countertop';
Per amazons documentation query "A" and "D" are functionally equivalent but return different results.
https://docs.amazonaws.cn/en_us/redshift/latest/dg/r_WHERE_oracle_outer.html
Have two queries , one collects moves in based on property and unit type the other would collect based on Move Outs for the same data. when ran separately they yield the correct information (move outs are 6 and move ins are 11) Have tried nesting in select and from statements but not getting what i need. When nested within the select am getting the correct move outs per unit type, but each line for move ins is total move ins. I recall that the nesting here would only return one value but know there is a way to return the value for each row. Any assistance is appreciated.
SELECT
p.scode as PropNumber,
p.saddr1 propname,
ut.scode as UnitType,
COUNT(t.hmyperson) as Moveouts,
(
SELECT COUNT(t.hmyperson) as MoveIns
FROM
tenant t
JOIN unit u ON t.hunit = u.hmy
JOIN property p ON p.hmy = u.hproperty
JOIN unittype ut ON ut.hmy = u.HUNITTYPE
WHERE
t.dtmovein >= getdate() - 14
AND p.scode IN ('gsaff')
) mi
FROM
Property p
JOIN unit u ON u.hproperty = p.hmy
JOIN tenant t ON t.hunit = u.hmy
JOIN unittype ut ON ut.hmy = u.HUNITTYPE
WHERE
p.scode IN ('gsaff')
AND t.DTMOVEOUT >= getdate()- 14
GROUP BY
ut.scode,
p.scode,
p.saddr1
With this data is coming out like :
PropNumber Propname UnitType MoveOuts MoveIns
1 x tc2 1 11
1 x tc3 2 11
1 x tc4 1 11
1 x tc5 1 11
1 x tc6 1 11 <pre>
Move in column should display as
2
5
1
0
3
You need to correlate the subquery according to the record being processed in the outer query. This also requires that you use different table aliases in the subquery than in the outer query.
It is hard to tell without seeing sample data, however I would expect that you need to correlate with all non-aggregated columns in the outer query.
Try changing :
(
SELECT COUNT(t.hmyperson) as MoveIns
FROM
tenant t
JOIN unit u ON t.hunit = u.hmy
JOIN property p ON p.hmy = u.hproperty
JOIN unittype ut ON ut.hmy = u.HUNITTYPE
WHERE
t.dtmovein >= getdate() - 14
AND p.scode IN ('gsaff')
) mi
To :
(
SELECT COUNT(t.hmyperson) as MoveIns
FROM
tenant t1
JOIN unit u1 ON t1.hunit = u1.hmy
JOIN property p1 ON p1.hmy = u1.hproperty
JOIN unittype ut1 ON ut1.hmy = u1.HUNITTYPE
WHERE
t1.dtmovein >= getdate() - 14
AND p1.scode IN ('gsaff')
AND p1.scode = p.scode
AND p1.saddr1 = p.saddr1
AND ut1.scode = ut.scode
) mi
I am writing a report that needs to show the number of bookings taken for a location with the total value of those bookings.
How do I sum the bookings column and show only one row for the location, that includes the columns set out in the example of expected data?
Select Statement Below:
SELECT
Locations.Description as LocationsDesc,
Locations.LocationGUID,
Venues.VenueName,
Venues.VenueGUID,
count (Bookings.BookingID) as Bookings,
Departments.DepartmentName,
Departments.DepartmentGUID,
sum(SalesTransactionDetails.NetDetailValue) as NetDetailValue,
sum(SalesTransactionDetails.DetailValue) as DetailValue,
SUM(CASE When Salestransactionlines.itemtype = 1 Then SalesTransactionDetails.NetDetailValue Else 0 End ) as RentalFee,
SUM(CASE When Salestransactionlines.itemtype = 2 Then SalesTransactionDetails.NetDetailValue Else 0 End ) as ExtraFee,
SalesTransactions.SalesTransactionGUID
FROM BookingLinesDetails
INNER JOIN Bookings ON BookingLinesDetails.BookingGUID=Bookings.BookingGUID
INNER JOIN Locations ON BookingLinesDetails.LocationGUID=Locations.LocationGUID
INNER JOIN Venues on Venues.Venueguid = Locations.Venueguid
INNER JOIN SalesTransactionDetails ON BookingLinesDetails.BookingLinesDetailGUID=SalesTransactionDetails.BookingLinesDetailGUID
INNER JOIN SalesTransactionLines ON SalesTransactionDetails.SalesTransactionLineGUID=SalesTransactionLines.SalesTransactionLineGUID
INNER JOIN SalesTransactions ON SalesTransactionLines.SalesTransactionGUID=SalesTransactions.SalesTransactionGUID
INNER JOIN Departments on Departments.DepartmentGUID = Locations.DepartmentGUID
WHERE
BookingLinesDetails.StartDateTime >= dbo.InzDateOnly(#pFromDate) and
BookingLinesDetails.StartDateTime < DateAdd(day,1,dbo.inzDateOnly(#pToDate)) and
Departments.DepartmentGUID in (Select GUID from dbo.InzSplitGUID(#DepartmentID)) and
(#IncludeAllLocationGroupsInVenues <> 0 or (#IncludeAllLocationGroupsInVenues = 0 )) and
Venues.VenueGUID in (Select GUID from dbo.InzSplitGUID(#VenueID)) and
salesTransactions.Status = 1 and -- remove cancelled
salestransactions.receiptonly = 0
GROUP BY
Locations.Description,
Locations.LocationGUID,
Venues.VenueName,
Venues.VenueGUID,
Departments.DepartmentName,
Departments.DepartmentGUID,
SalesTransactions.SalesTransactionGUID
The output is currently:
Desired output is:
LocationsDesc LocationGUID VenueGUID Bookings DepartmentName NetDetailValue DetailValue ExtraFee
Location - Deck Room 348A43F12 7DAD77BE 33 Aquatics Centre 2059.46 2162.5 0
I have attempted several versions of Count and sum. I believe I need to make the query a derived table and then select from that, but am not sure how to go about it, even if that is the answer.
Thank you in advance.
I am trying to return data that will ultimately populate a label.
Each label is going onto a box, and the box can only have 4 items in it.
If a delivery has more than 4 items, then I need one label per 4.
Each row of data returned will populate one label, so if the delivery contains 9 items, then I need 3 rows of data returned.
Below is my current query, which is returning all items into a comma separated value using Stuff.
I want it so the first 4 rows for the delivery return in the first row, then the next 4 in the second and so on.
My Field LineOrd returns correctly if there are more than 4 lines on the dispatch.
select Distinct
delivery_header.dh_datetime,
delivery_header.dh_number,
order_header.oh_order_number as 'Order No',
order_header_detail.ohd_delivery_name,
order_header_detail.ohd_delivery_address1,
order_header_detail.ohd_delivery_address2,
order_header_detail.ohd_delivery_address3,
order_header_detail.ohd_delivery_town,
order_header_detail.ohd_delivery_county,
order_header_detail.ohd_delivery_postcode,
order_header_detail.ohd_delivery_country,
STUFF((Select ', '+convert(varchar(50),convert(decimal(8,0),DL.dli_qty))+'x '+OLI.oli_description
from delivery_header DH join delivery_line_item DL on DL.dli_dh_id = DH.dh_id join order_line_item OLI on OLI.oli_id = DL.dli_oli_id
Outer APPLY
(select
case when DelCurLine.CurLine <= 4
then '1'
Else
Case when DelCurLine.CurLine <= 8
then '2'
Else '3'
End
End +'-'+order_header.oh_order_number as LineOrd) as StuffLineOrder
Where DH.dh_id = delivery_header.dh_id And StuffLineOrder.LineOrd = LineOrder.LineOrd
FOR XML PATH('')),1,1,'') as Items,
LineOrder.LineOrd
from delivery_header
join delivery_line_item on delivery_line_item.dli_dh_id = delivery_header.dh_id
join order_line_item on order_line_item.oli_id = delivery_line_item.dli_oli_id
join order_header on order_header.oh_id = order_line_item.oli_oh_id
join order_header_detail on order_header_detail.ohd_oh_id = order_header.oh_id
join variant_detail on variant_detail.vad_id = order_line_item.oli_vad_id
join stock_location on stock_location.sl_id = order_line_item.oli_sl_id
Outer APPLY
(select count(DLI.dli_id) CurLine from delivery_line_item DLI where DLI.dli_dh_id = delivery_header.dh_id and DLI.dli_id <= delivery_line_item.dli_id)
as DelCurLine
Outer APPLY
(select
case when DelCurLine.CurLine <= 4
then '1'
Else
Case when DelCurLine.CurLine <= 8
then '2'
Else '3'
End
End +'-'+order_header.oh_order_number as LineOrd) as LineOrder
Outer APPLY
(select convert(varchar(50),convert(decimal(8,0),delivery_line_item.dli_qty))+'x '+order_line_item.oli_description as LineName) as LineName
where
delivery_header.dh_datetime between #DateFrom and #DateTo
and stock_location.sl_id = #StockLoc
and (order_header.oh_order_number = #OrderNo or #AllOrder = 1)
order by
delivery_header.dh_datetime,
delivery_header.dh_number,
order_header.oh_order_number,
order_header_detail.ohd_delivery_name,
order_header_detail.ohd_delivery_address1,
order_header_detail.ohd_delivery_address2,
order_header_detail.ohd_delivery_address3,
order_header_detail.ohd_delivery_town,
order_header_detail.ohd_delivery_county,
order_header_detail.ohd_delivery_postcode,
order_header_detail.ohd_delivery_country
You can use ROW_NUMBER() with a division by 4. This truncate the decimal because numerator is an interger. This give you group number with a maximum of four row in each group. You can then adjust your query to use this group number in a "group by" clause to return grouped rows into a single one.
Exemple here :
SELECT RawData.BoxGroup,
MIN(dh_datetime),
MIN(dh_number),
MIN(order_header.oh_order_number) as 'Order No'
--And so on
FROM
(SELECT BoxGroup = (ROW_NUMBER() OVER(ORDER BY (SELECT 1)) - 1) / 4,
*
FROM [TableNameOrQuery]) AS RawData
GROUP BY RawData.BoxGroup
Hope this help.