How to compare two tables column by column in oracle
As an alternative which saves from full scanning each table twice and also gives you an easy way to tell which table had more rows with a combination of values than the other:
SELECT col1
, col2
-- (include all columns that you want to compare)
, COUNT(src1) CNT1
, COUNT(src2) CNT2
FROM (SELECT a.col1
, a.col2
-- (include all columns that you want to compare)
, 1 src1
, TO_NUMBER(NULL) src2
FROM tab_a a
UNION ALL
SELECT b.col1
, b.col2
-- (include all columns that you want to compare)
, TO_NUMBER(NULL) src1
, 2 src2
FROM tab_b b
)
GROUP BY col1
, col2
HAVING COUNT(src1) <> COUNT(src2) -- only show the combinations that don't match
Credit goes here: http://asktom.oracle.com/pls/apex/f?p=100:11:0::::P11_QUESTION_ID:1417403971710
select *
from
(
( select * from TableInSchema1
minus
select * from TableInSchema2)
union all
( select * from TableInSchema2
minus
select * from TableInSchema1)
)
should do the trick if you want to solve this with a query
It won't be fast, and there will be a lot for you to type (unless you generate the SQL from user_tab_columns), but here is what I use when I need to compare two tables row-by-row and column-by-column.
The query will return all rows that
- Exists in table1 but not in table2
- Exists in table2 but not in table1
- Exists in both tables, but have at least one column with a different value
(common identical rows will be excluded).
"PK" is the column(s) that make up your primary key. "a" will contain A if the present row exists in table1. "b" will contain B if the present row exists in table2.
select pk
,decode(a.rowid, null, null, 'A') as a
,decode(b.rowid, null, null, 'B') as b
,a.col1, b.col1
,a.col2, b.col2
,a.col3, b.col3
,...
from table1 a
full outer
join table2 b using(pk)
where decode(a.col1, b.col1, 1, 0) = 0
or decode(a.col2, b.col2, 1, 0) = 0
or decode(a.col3, b.col3, 1, 0) = 0
or ...;
Edit Added example code to show the difference described in comment. Whenever one of the values contains NULL, the result will be different.
with a as(
select 0 as col1 from dual union all
select 1 as col1 from dual union all
select null as col1 from dual
)
,b as(
select 1 as col1 from dual union all
select 2 as col1 from dual union all
select null as col1 from dual
)
select a.col1
,b.col1
,decode(a.col1, b.col1, 'Same', 'Different') as approach_1
,case when a.col1 <> b.col1 then 'Different' else 'Same' end as approach_2
from a,b
order
by a.col1
,b.col1;
col1 col1_1 approach_1 approach_2
==== ====== ========== ==========
0 1 Different Different
0 2 Different Different
0 null Different Same <---
1 1 Same Same
1 2 Different Different
1 null Different Same <---
null 1 Different Same <---
null 2 Different Same <---
null null Same Same