> select s.*, ss.*
> from shipment s, shipment_status ss, release_code r
> where s.current_status_id = ss.id
> and ss.release_code_id = r.id
> and r.filtered_column = '5'
> order by ss.date desc
> limit 100;
> Release code is just a very small table of 8 rows by looking at the
> production data, hence the 0.125 filter ratio. However, the data
> distribution is not normal since the filtered column actually pulls out
> about 54% of the rows in shipment_status when it joins. Postgres seems
> to be doing a sequencial scan to pull out all of these rows. Next, it
> joins approx 17550 rows to shipment. Since this query has a limit, it
> only returns the first 100, which seems like a waste.
Well, postgres does what you asked. It will be slow, because you have a
full table join. LIMIT does not change this because the rows have to be
sorted first.
The date is in shipment_status so you should first get the
shipment_status.id that you need and later join to shipment. This will
avoid the big join :
SELECT s.*, ss.* FROM
(SELECT * FROM shipment_status WHERE release_code_id IN
(SELECT r.id FROM release_code WHERE r.filtered_column = '5')
ORDER BY date DESC LIMIT 100
) as ss, shipment s
WHERE s.current_status_id = ss.id
ORDER BY date DESC LIMIT 100
Is this better ?
