On Friday 07 Feb 2003 5:01 am, John Smith wrote:
> There are 90K-100K records in each of two tables. This simple join is
> really slow and the larger the offset, the longer it takes. Anything I can
> do to speed it up (a lot)? I've double-checked and there are indexes on
> everything used for joins and ordering.
> QUERY PLAN
> ---------------------------------------------------------------------------
>-----------------------
Limit (cost=19546.62..19546.87 rows=100 width=62)
> (actual time=20557.00..20558.00 rows=100 loops=1)
> -> Sort (cost=19321.62..19571.32 rows=99881 width=62) (actual
> time=19775.00..20410.00 rows=90101 loops=1)
> Sort Key: l.url
> -> Hash Join (cost=2471.00..7662.54 rows=99881 width=62) (actual
> time=3013.00..12002.00 rows=100000 loops=1) Hash Cond: ("outer".id =
> "inner".link_id)
It's the join and sort that's getting you. PG has to fetch and sort all the
rows so it can discard 90,000 of them. I can't think of a good way for it to
optimise this, though you might want to check your sort_mem is set high
enough.
> explain analyze select l.id, l.url
> from links l
> inner join stats s
> on l.id = s.link_id
> and s.referrer_id = 1
> order by l.url
> limit 100
> offset 90000;
There are three options you might want to look at:
1. Use a temporary table, then select from that for each page.
2. Use a cursor, and just fetch 100 records at a time from it.
3. Cheat and fetch where l.url>=X, remembering X as the highest url from the
last set of results. This of course means pages of results will overlap.
--
Richard Huxton
