Edit #1 : The code could contain random letters and numbers like "A123BC56xa"
Edit #2 : I tried this subquery
but it gave me Syntax Error
SELECT DocDtls.Warehouse, Transactions.Code, DocDtls.zDate, Transactions.ID, Transactions.QtyIn, Transactions.QtyOut, Transactions.BalanceAfter, (SELECT Count("*") FROM Transactions AS B WHERE B.[ID]<A.[ID] And B.[Warehouse] = A.[Warehouse] And B.[Code] = A.[Code]) 1 AS Serial
FROM DocDtls INNER JOIN Transactions ON DocDtls.DocNum = Transactions.DocNum
ORDER BY DocDtls.Warehouse, Transactions.Code, DocDtls.zDate, Transactions.ID As A;
I have this query
SELECT DocDtls.Warehouse, DocDtls.zDate, Transactions.Code, Transactions.ID, Transactions.QtyIn, Transactions.QtyOut, Transactions.BalanceAfter
FROM DocDtls INNER JOIN Transactions ON DocDtls.DocNum = Transactions.DocNum
ORDER BY DocDtls.Warehouse, Transactions.Code, DocDtls.zDate, Transactions.ID;
This is the current query result :
Warehouse | zDate | ID | Code | QtyIn |QtyOut | BalanceAfter
MainWh | 20-03-2022 | 7 | 00001 | 5000| 0 | 0
MainWh | 21-03-2022 | 8 | 00001 | 0 | 1000| 0
MainWh | 20-03-2022 | 9 | 00002 | 7000| 0 | 0
MainWh | 21-03-2022 | 10 | 00002 | 0 | 2500| 0
Wh1 | 21-03-2022 | 1 | 00001 | 1000| 0 | 0
Wh1 | 25-04-2022 | 5 | 00001 | 0 | 250 | 0
Wh1 | 25-04-2022 | 5 | 00001 | 0 | 300 | 0
Wh1 | 21-03-2022 | 2 | 00002 | 2500| 0 | 0
Wh1 | 25-04-2022 | 6 | 00002 | 0 | 500 | 0
I need to add a serial column like ID but incremented by 1 based on Code
And Warehouse
and the result should be Like
Warehouse | zDate | ID | Code | QtyIn |QtyOut | BalanceAfter| Serial
MainWh | 20-03-2022 | 7 | 00001 | 5000| 0 | 0| 1
MainWh | 21-03-2022 | 8 | 00001 | 0 | 1000| 0| 2
MainWh | 20-03-2022 | 9 | 00002 | 7000| 0 | 0| 1
MainWh | 21-03-2022 | 10 | 00002 | 0 | 2500| 0| 2
Wh1 | 21-03-2022 | 1 | 00001 | 1000| 0 | 0 | 1
Wh1 | 25-04-2022 | 5 | 00001 | 0 | 250 | 0| 2
Wh1 | 25-04-2022 | 5 | 00001 | 0 | 300 | 0| 3
Wh1 | 21-03-2022 | 2 | 00002 | 2500| 0 | 0 | 1
Wh1 | 25-04-2022 | 6 | 00002 | 0 | 500 | 0| 2
I'm using sqlserver 2014 , Thanks in advance .
CodePudding user response:
SQL server 2014 is very old, and should be urgently replaced.
You can use window functions like row_number to achieve your goal
CREATE TABLE DocDtls ([Warehouse] varchar(6), [zDate] varchar(10), [ID] int, [Code] int, [QtyIn] int, [QtyOut] int, [BalanceAfter] int) ; INSERT INTO DocDtls ([Warehouse], [zDate], [ID], [Code], [QtyIn], [QtyOut], [BalanceAfter]) VALUES ('MainWh', '20-03-2022', 7, 00001, 5000, 0, 0), ('MainWh', '21-03-2022', 8, 00001, 0, 1000, 0), ('MainWh', '20-03-2022', 9, 00002, 7000, 0, 0), ('MainWh', '21-03-2022', 10, 00002, 0, 2500, 0), ('Wh1', '21-03-2022', 1, 00001, 1000, 0, 0), ('Wh1', '25-04-2022', 5, 00001, 0, 250, 0), ('Wh1', '25-04-2022', 5, 00001, 0, 300, 0), ('Wh1', '21-03-2022', 2, 00002, 2500, 0, 0), ('Wh1', '25-04-2022', 6, 00002, 0, 500, 0) ;
GO
9 rows affected
SELECT *, ROW_NUMBER() OVER( PARTITION BY [Warehouse],[Code] ORDER BY [ID]) as Serial FROM DocDtls
GO
Warehouse | zDate | ID | Code | QtyIn | QtyOut | BalanceAfter | Serial :-------- | :--------- | -: | ---: | ----: | -----: | -----------: | -----: MainWh | 20-03-2022 | 7 | 1 | 5000 | 0 | 0 | 1 MainWh | 21-03-2022 | 8 | 1 | 0 | 1000 | 0 | 2 MainWh | 20-03-2022 | 9 | 2 | 7000 | 0 | 0 | 1 MainWh | 21-03-2022 | 10 | 2 | 0 | 2500 | 0 | 2 Wh1 | 21-03-2022 | 1 | 1 | 1000 | 0 | 0 | 1 Wh1 | 25-04-2022 | 5 | 1 | 0 | 250 | 0 | 2 Wh1 | 25-04-2022 | 5 | 1 | 0 | 300 | 0 | 3 Wh1 | 21-03-2022 | 2 | 2 | 2500 | 0 | 0 | 1 Wh1 | 25-04-2022 | 6 | 2 | 0 | 500 | 0 | 2
db<>fiddle here
CodePudding user response:
If the Code column is always in this format '00001', '00002', '00101', etc., you can use a cast.
SELECT DocDtls.Warehouse, DocDtls.zDate, Transactions.Code, Transactions.ID, Transactions.QtyIn, Transactions.QtyOut, Transactions.BalanceAfter
FROM DocDtls INNER JOIN Transactions ON DocDtls.DocNum = Transactions.DocNum
ORDER BY DocDtls.Warehouse, Transactions.Code, DocDtls.zDate, Transactions.ID, CAST(Transactions.Code AS INT) AS Serial;