Question

i have a Dimension Table like this :

my_Table

pk1  Primary key
pk2  Primary key
pk3  Primary key
col1  
col2  
col3  
...

and using a procedure to fill this table with the MERGE INTO statement :

MERGE INTO  my_Table dest
USING 
  ( SELECT <columns>
      FROM <tables>
     WHERE <conditions> ) src
ON 
  (dest.pk1 = src.pk1 AND dest.pk2 = src.pk2 AND pk3 = src.pk3)
WHEN     MATCHED THEN UPDATE SET dest.col1 = src.col1 ,
                                 dest.col2 = src.col2 ,
                                 dest.col3 = src.col3
WHEN NOT MATCHED THEN INSERT (pk1, pk2, pk3, col1, col2, col3) 
                      VALUES (src.pk1, src.pk2, src.pk3, src.col1, src.col2, src.col3);

my problem is that the query ‘src‘ returns some rows with same Primary keys, but they are no duplicated rows, example

 | pk1 | pk2 | pk3 |  col1   | col2       | col3  |
 --------------------------------------------------
 | 100 | abc | x99 | 6000,00 | 01/01/2010 | 50,00 | 
 | 100 | abc | x99 | 0,00    | 01/01/2010 | 30,00 |
 | 110 | rty | b50 | 345,00  | 08/10/2009 | 10,00 |
 | 120 | xyz | y91 | 1200,00 | 13/02/2009 | 12,50 |
 | 120 | xyz | y91 | 1200,00 | 13/02/2009 |  0,00 |
 | 120 | xyz | y91 | 1200,00 | 13/02/2009 |  0,00 |
 | 120 | xyz | y91 | 1200,00 | 13/02/2009 |  0,00 |

So, when i call my procedure it returns the unique constraint violated error.

what could be the solution of this problem? im not the writer of the query src by the way …

if i need to modify src i should have for the pk (100,abc,x99) :

| pk1 | pk2 | pk3 |  col1   | col2       | col3  |   
 --------------------------------------------------    
| 100 | abc | x99 | 6000,00 | 01/01/2010 | 80,00 | 

and for the pk (120,xyz,y91) i would have :

| pk1 | pk2 | pk3 |  col1   | col2       | col3  |  
 --------------------------------------------------    
| 120 | xyz | y91 | 1200,00 | 13/02/2009 | 12,50 |

Thanks in advance for any suggestion.

Answer 1

It’s obvious that something has to be done with src to make it return unique primary keys. If you don’t care too much about the quality of the data in your table, you could use aggregation and change it e.g. to

 select pk1, pk2, pk3, max(col1), max(col2), sum(col3)
   from ...
   where ...
   group by pk1, pk2, pk3

But chances are you need more sophisticated processing to make any sense of that stuff.

EDIT: changed first sum to max, to reflect the edit in the question