I have 2 tables - reservation
:
id | some_other_column
----+------------------
1 | value
2 | value
3 | value
SELECT *
FROM reservation
WHERE id NOT IN (select reservation_id
FROM reservation_log
WHERE change_type = 'cancel')
OR:
SELECT r.*
FROM reservation r
LEFT JOIN reservation_log l ON r.id = l.reservation_id AND l.change_type = 'cancel'
WHERE l.id IS NULL
The first version is more intuitive, but I think the second version usually gets better performance (assuming you have indexes on the columns used in the join).
The second version works because LEFT JOIN
returns a row for all rows in the first table. When the ON
condition succeeds, those rows will include the columns from the second table, just like INNER JOIN
. When the condition fails, the returned row will contain NULL
for all the columns in the second table. The WHERE l.id IS NULL
test then matches those rows, so it finds all the rows that don't have a match between the tables.
Just for completeness (and I honestly believe it fits better), I encourage you to use a simple NOT EXISTS
.
SELECT * FROM reservation R
WHERE NOT EXISTS (
SELECT 1 FROM reservation_log
WHERE reservation_id = R.id
AND change_type = 'cancel'
);