Source Table
Id, Name, Address
1 A #202
1 A #203
1 A #204
2 A #202
Target Table
Id, Name, Address
1 A NULL
After Merge
Id, Name, Address
1 A #202
2 A #202
I am using this SQL
create table #S (ID int, Name varchar(25) NULL, Address varchar(25) NULL)
create table #T (ID int, Name varchar(25) NULL, Address varchar(25) NULL)
INSERT #S values(1, 'A', '#202')
INSERT #S values(1, 'A', '#203')
INSERT #S values(1, 'A', '#203')
INSERT #S values(1, 'A', '#204')
INSERT #T values(1, 'A', NULL)
MERGE #T USING
(
Select id, name, address
from #S
) AS S(id,name,address)
on #T.id=S.id and #T.Name=S.Name
when not matched THEN
INSERT values(S.id,S.Name, S.Address)
when matched then
update set Address = S.Address;
GO
Select * from #T
GO
Select * from #S
GO
This causes an error
Msg 8672, Level 16, State 1, Line 18
The MERGE statement attempted to UPDATE or DELETE the same row more than once. This happens when a target row matches more than one source row. A MERGE statement cannot UPDATE/DELETE the same row of the target table multiple times. Refine the ON clause to ensure a target row matches at most one source row, or use the GROUP BY clause to group the source rows.
I want to update the row in A with Address value from any of the three matching values. How to do this?
Using the MERGE statement in SQL gives you better flexibility in customizing your complex SQL scripts and also enhances the readability of your scripts. The MERGE statement basically modifies an existing table based on the result of comparison between the key fields with another table in the context.
The UPDATE statement will most likely be more efficient than a MERGE if the all you are doing is updating rows. Given the complex nature of the MERGE command's match condition, it can result in more overhead to process the source and target rows.
The basic set-up data is as follows. We've purposely set up our source table so that the INSERTs it will do when merged with the target are interleaved with existing records for the first 500,000 rows. These indicate that MERGE took about 28% more CPU and 29% more elapsed time than the equivalent INSERT/UPDATE.
Any of the four values in #S
will match your target table's single row value (all values in #S have id = 1 and name = 'A' - so they all match the single row in the target), thus this value will be updated four times - that's what the error says, and it's absolutely right.
What is it you really want to achieve here??
Do you want to set the Address to the first of the values from the source table? Use a TOP 1
clause in your subselect:
MERGE #T
USING (SELECT TOP 1 id, name, address FROM #S) AS S
ON #T.id = S.id AND #T.Name = S.Name
WHEN NOT MATCHED THEN
INSERT VALUES(S.id,S.Name, S.Address)
WHEN MATCHED THEN
UPDATE SET Address = S.Address;
Do you want to set the Address to a random element of the values from the source table? Use a TOP 1
and ORDER BY NEWID()
clause in your subselect:
MERGE #T
USING (SELECT TOP 1 id, name, address FROM #S ORDER BY NEWID()) AS S
ON #T.id = S.id AND #T.Name = S.Name
WHEN NOT MATCHED THEN
INSERT VALUES(S.id,S.Name, S.Address)
WHEN MATCHED THEN
UPDATE SET Address = S.Address;
If you match four source rows to a single target row, you'll never get a useful result - you need to know what you really want.
Marc
Remove the dupicate using
select R.*
from (SELECT Customer,Material,Received_date_time,
row_number() over (Partition by Customer, Material
order by Customer,Material,Received_date_time) as rn
from Customer_Table WHERE Status=0
) as R
where R.rn = 1
for merge you cannot have duplicates, so you always have to pick up the latest
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