Avoid SQL Pivot returning duplicate rows - sql

Question

I have the following SQL script which returns duplciate values in PIVOT. How do I combine those duplicate records to one row.
Please check the below image for the results set.
SELECT *
FROM (SELECT X.stockcode,
X.description,
X.pack,
X.location,
X.lname,
X.qty,
Y.stockcode AS StockCode2,
y.periodname,
Y.months,
Y.saleqty
FROM (SELECT dbo.stock_items.stockcode,
dbo.stock_items.description,
dbo.stock_items.pack,
dbo.stock_loc_info.location,
dbo.stock_locations.lname,
dbo.stock_loc_info.qty
FROM dbo.stock_locations
INNER JOIN dbo.stock_loc_info
ON dbo.stock_locations.locno = dbo.stock_loc_info.location
LEFT OUTER JOIN dbo.stock_items
ON dbo.stock_loc_info.stockcode = dbo.stock_items.stockcode
WHERE ( dbo.stock_items.status = 's' )) AS X
LEFT OUTER JOIN (SELECT dbo.dr_invlines.stockcode,
( 12 + Datepart(month, Getdate()) - Datepart(month, dbo.dr_trans.transdate) ) % 12 + 1 AS Months,
Sum(dbo.dr_invlines.quantity) AS SaleQty,
dbo.period_status.periodname
FROM dbo.dr_trans
INNER JOIN dbo.period_status
ON dbo.dr_trans.period_seqno = dbo.period_status.seqno
LEFT OUTER JOIN dbo.stock_items AS STOCK_ITEMS_1
RIGHT OUTER JOIN dbo.dr_invlines
ON STOCK_ITEMS_1.stockcode = dbo.dr_invlines.stockcode
ON dbo.dr_trans.seqno = dbo.dr_invlines.hdr_seqno
WHERE ( STOCK_ITEMS_1.status = 'S' )
AND ( dbo.dr_trans.transtype IN ( 1, 2 ) )
AND ( dbo.dr_trans.transdate >= Dateadd(m, -6, Getdate()) )
GROUP BY dbo.dr_invlines.stockcode,
Datepart(month, dbo.dr_trans.transdate),
dbo.period_status.periodname) AS Y
ON X.stockcode = Y.stockcode) z
PIVOT (Sum(saleqty) FOR [months] IN ([1],[2],[3],[4],[5],[6])) AS pivoted

Answer 1

EDIT: I missed the root-cause of your issue being the inclusion of the periodname column causing the percieved duplication. I am leaving this in place as general solution showing CTE usage, because it could still be useful if you then want to do extra filtering/transformation of your pivot results
One way is to take the results of the pivot query and run it through a SELECT DISTINCT query.
An example of wrapping your pivot query as a CTE and using it to feed a SELECT DISTINCT below (please note: untested, but parses as valid in my SSMS)
WITH PivotResults_CTE (
stockcode,
description,
pack,
location,
lname,
qty,
StockCode2,
periodname,
months,
saleqty
)
AS (
SELECT *
FROM (
SELECT X.stockcode
,X.description
,X.pack
,X.location
,X.lname
,X.qty
,Y.stockcode AS StockCode2
,y.periodname
,Y.months
,Y.saleqty
FROM (
SELECT dbo.stock_items.stockcode
,dbo.stock_items.description
,dbo.stock_items.pack
,dbo.stock_loc_info.location
,dbo.stock_locations.lname
,dbo.stock_loc_info.qty
FROM dbo.stock_locations
INNER JOIN dbo.stock_loc_info ON dbo.stock_locations.locno = dbo.stock_loc_info.location
LEFT OUTER JOIN dbo.stock_items ON dbo.stock_loc_info.stockcode = dbo.stock_items.stockcode
WHERE (dbo.stock_items.STATUS = 's')
) AS X
LEFT OUTER JOIN (
SELECT dbo.dr_invlines.stockcode
,(12 + Datepart(month, Getdate()) - Datepart(month, dbo.dr_trans.transdate)) % 12 + 1 AS Months
,Sum(dbo.dr_invlines.quantity) AS SaleQty
,dbo.period_status.periodname
FROM dbo.dr_trans
INNER JOIN dbo.period_status ON dbo.dr_trans.period_seqno = dbo.period_status.seqno
LEFT OUTER JOIN dbo.stock_items AS STOCK_ITEMS_1
RIGHT OUTER JOIN dbo.dr_invlines ON STOCK_ITEMS_1.stockcode = dbo.dr_invlines.stockcode ON dbo.dr_trans.seqno = dbo.dr_invlines.hdr_seqno WHERE (STOCK_ITEMS_1.STATUS = 'S')
AND (
dbo.dr_trans.transtype IN (
1
,2
)
)
AND (dbo.dr_trans.transdate >= Dateadd(m, - 6, Getdate()))
GROUP BY dbo.dr_invlines.stockcode
,Datepart(month, dbo.dr_trans.transdate)
,dbo.period_status.periodname
) AS Y ON X.stockcode = Y.stockcode
) z
PIVOT(Sum(saleqty) FOR [months] IN (
[1]
,[2]
,[3]
,[4]
,[5]
,[6]
)) AS pivoted
)
SELECT DISTINCT *
FROM
PivotResults_CTE
;
Also note, your sql included in the above may look slightly different to your original but that is only because i ran it through a reformatter to ensure i understood the structure of it.
In other words, the basic CTE wrapper for your pivot query is:
WITH PivotResults_CTE (
Field1,
Field2,
...
)
AS (
YOUR_PIVOT_QUERY_HERE
)
SELECT DISTINCT *
FROM
PivotResults_CTE
;