Reputation: 1541
I am facing a problem which I do not know how to categorize. So, pardon me for the generic title. I have a dataset like:
Table1: Column1, Column2, Column3. According to my business logic, for a pair of 'Column1 Column2', the Column3 can have only one unique value. So below table is a problematic one because of the second entry:
Table1
Column1 Column2 Column3
A1 B1 R
A1 B1 O << ERROR! for A1-B1 pair only one value on column3 is accepted
A2 B2 R
A2 B3 J
A3 B3 K
A4 B5 K
From above table I would like to find the problematic entries:
A1 B1 R
A1 B1 O
Thanks in advance for your help !
Upvotes: 0
Views: 80
Reputation: 342
Using your example column names, you can run the following query to just see the Column1/Column2 pairs that have more than 1 value in Column 3.
SELECT Column1, Column2, COUNT(DISTINCT Column3) as Column3
FROM Table1
GROUP BY Column1, Column2
HAVING COUNT(DISTINCT Column3) > 1
You can omit the HAVING line to see the complete list of Column1/Column2 pairs.
Upvotes: 2