Reputation: 220
I'm trying to search duplicate rows by several columns in large table (near 18 000 rows). Problem is that queries take a lot of time, I tried this:
SELECT * FROM table_name a, table_name b
WHERE a.col1 = b.col1
AND a.col2 = b.col2
AND a.col3 = b.col3
AND a.col4 = b.col4
AND a.id <> b.id
and this:
SELECT *
FROM table_name
WHERE col1 IN (
SELECT col1
FROM table_name
GROUP BY col1
HAVING count(col1) > 1
)
AND col2 IN (
SELECT col2
FROM table_name
GROUP BY col2
HAVING count(col2) > 1
)
AND col3 IN (
SELECT col3
FROM table_name
GROUP BY col3
HAVING count(col3) > 1
)
AND col4 IN (
SELECT col4
FROM table_name
GROUP BY col4
HAVING count(col4) > 1
)
they both work, but too slow. Any ideas?
Upvotes: 0
Views: 126
Reputation: 1061
You can try using one joint GROUP BY statement like:
SELECT * FROM table_name
GROUP BY col1, col2, col3, col4
HAVING count(*) > 1
At the very least, it will look cleaner.
EDIT
To return all results as a sub-set for the previous column:
SELECT *
FROM table_name
WHERE col4 IN (
SELECT col4
FROM table_name
WHERE col3 IN (
SELECT col3
FROM table_name
WHERE col2 IN (
SELECT col2
FROM table_name
WHERE col1 IN (
SELECT col1
FROM table_name
GROUP BY col1
HAVING count(col1) > 1
)
)
)
This, in concept, should give you all results in a faster execution time.
Upvotes: 1