Compare The Data In Two Tables With Same Schema

I have been doing a bit of searching for a while now on a particular problem, but I can't quite find this particular question I have a rather unusual task to achieve in SQL: I have

Solution 1:

Yes you can do that with a query like this:

WITH Diffs (Id, Col) AS (
    SELECT
        a.Id,
        CASE
            WHEN a.Col1 <> b.Col1 THEN 'Col1'
            WHEN a.Col2 <> b.Col2 THEN 'Col2'
            -- ...and so on
            ELSE NULL
        END as Col
    FROM TableOne a
    JOIN TableTwo b ON a.Id=b.Id
)
SELECT Id, Col
WHERE Col IS NOT NULL

Note that the above query is not going to return all the columns with differences, but only the first one that it is going to find.

Solution 2:

You can do this with an unpivot -- assuming that the values in the columns are of the same type.

If your data is not too big, I would just recommend using a bunch of union all statements instead:

select a.id, 'Col1' as column
from a join b on a.id = b.id
where a.col1 <> b.col1 or a.col1 is null and b.col1 is not null or a.col1 is not null and b.col1 is null
union all
select a.id, 'Col2' as column
from a join b on a.id = b.id
where a.col2 <> b.col2 or a.col2 is null and b.col2 is not null or a.col2 is not null and b.col2 is null
. . .

This prevents issues with potential type conversion problems.

If you don't mind having the results on one row, you can do:

select a.id,
       (case when a.col1 <> b.col1 or a.col1 is null and b.col1 is not null or a.col1 is not null and b.col1 is null
             then 'Col1;'
             else ''
         end) +
       (case when a.col2 <> b.col2 or a.col2 is null and b.col2 is not null or a.col2 is not null and b.col2 is null
             then 'Col2;'
             else ''
         end) +
       . . .
from a join b on a.id = b.id;

Solution 3:

If your columns are of the same type, there is a slick method:

SELECT id,col
FROM (SELECT * FROM A UNION ALL SELECT * FROM B) t1
UNPIVOT (value for col in (column_1,column_2,column_3,column_4)) t2
GROUP BY id,col
HAVING COUNT(DISTINCT value) > 1

If you need to handle NULL as a unique value, then use HAVING COUNT(DISTINCT ISNULL(value,X)) > 1 with X being a value that doesn't occur in your data