Polling an updated_at column is not robust in its most simple form, as transactions are not guaranteed to commit in that order.
1. Transaction A starts, its before trigger fires, Row 1 has its updated_at timestamp set to 2023-09-22 12:00:01.
2. Transaction B starts a moment later, its before trigger fires, Row 2 has its updated_at timestamp set to 2023-09-22 12:00:02.
3. Transaction B commits successfully.
4. Polling query runs, sees Row 2 as the latest change, and updates its cursor to 2023-09-22 12:00:02.
5. Transaction A then commits successfully.
A simple way to avoid this issue is to not poll close to real-time, as the order is eventually consistent.
Perhaps a more robust suggestion would be to use a sequence? Imagine a new column, `updated_at_idx`, that incremented every time a row was changed.
CREATE OR REPLACE FUNCTION
update_updated_at_function()
RETURNS TRIGGER AS $$
BEGIN
NEW.updated_at = now();
RETURN NEW;
END;
$$ language 'plpgsql';
CREATE TRIGGER
update_updated_at_trigger
BEFORE INSERT OR UPDATE ON
"my_schema"."my_table"
FOR EACH ROW EXECUTE PROCEDURE
update_updated_at_function();
END $$;
Is it possible for two rows to have `updated_at` timestamps that are different from the transaction commit order even if the above function and trigger are used? It's alright if `updated_at` and the commit timestamp are not the same, but the `updated_at` must represent commit order accurate to the millisecond/microsecond.