-----Original Message----- From: Richard Frith-Macdonald [mailto:richard.frith-macdonald@xxxxxxxxxxxxxxxx] Sent: Monday, October 06, 2014 1:53 PM To: Igor Neyman Cc: pgsql-general@xxxxxxxxxxxxxx Subject: Re: How to get good performance for very large lists/sets? On 6 Oct 2014, at 17:54, Igor Neyman <ineyman@xxxxxxxxxxxxxx> wrote: > >> -----Original Message----- >> From: pgsql-general-owner@xxxxxxxxxxxxxx >> [mailto:pgsql-general-owner@xxxxxxxxxxxxxx] On Behalf Of Richard >> Frith-Macdonald >> Sent: Monday, October 06, 2014 4:02 AM >> To: pgsql-general@xxxxxxxxxxxxxx >> Subject: How to get good performance for very large lists/sets? >> >> I'm wondering if anyone can help with advice on how to manage large lists/sets of items in a postgresql database. >> >> I have a database which uses multiple lists of items roughly like this: >> >> CREATE TABLE List ( >> ID SERIAL, >> Name VARCHAR .... >> ); >> >> and a table containing individual entries in the lists: >> >> CREATE TABLE ListEntry ( >> ListID INT, /* Reference the List table */ ItemID INT /* References >> an Item table */ >> ) ; >> CREATE UNIQUE INDEX ListEntryIDX ON ListEntry(ListID, ItemID); >> >> Now, there are thousands of lists, many with millions of entries, and items are added to and removed from lists in an unpredictable way (in response to our customer's actions, not under our control). Lists are also created by customer actions. >> >> Finding whether a particular item is in a particular list is reasonably fast, but when we need to do things like find all the items in list A but not list B things can get very slow (particularly when both lists contain millions of common items). >> >> I think that server won't use index-only scans because, even in cases where a particular list has not had any recent changes, the ListEntry table will almost always have had some change (for one of the other lists) since its last vacuum. >> Perhaps creating multiple ListEntry tables (one for each list) would allow better performance; but that would be thousands (possibly tens of thousands) of tables, and allowing new tables to be created by our clients might conflict with things like nightly backups. >> >> Is there a better way to manage list/set membership for many thousands of sets and many millions of items? > > -- > > You mean you are get sequential scans? > Index-only scans are not always quicker (you could try "turning off" seq scans by setting enable_seqscan=off). > > Could you show your query, corresponding plans, and what don't you like about them? I guess I didn't express myself well. No I'm not particularly dissatisfied with any query plan; have tried enabling/disabling different scan types to experiment, and have been able to get better results from the query planner with such tweaks in some cases (ie with specific datasets), but not consistently. Certainly the index is used quite often, and when it isn't the query planner seems to be making reasonable decisions. I've tried NOT IN, and NOT EXISTS and NOT EXISTS for different situations ... My fundamental problem is huge datasets; with hundreds of gigabytes of memory, I can have the lists basically in memory and these queries seem to be cpu-limited ... so I'm searching for a way to minimise the work the cpu has to do. So what I was wondering was whether this whole approach to set/list membership was the correct one to use or if there's some other approach which can simply avoid the cpu having to look at so much data (which was why I wondered about index-only scans). -- What is your RAM and what is your setting for effective_cache_size? Oh, and PG version? The way you write the query will probably affect more the way tables are joined, but not the choice between sequensial or index-only scan. I was getting better performance when using NOT EXISTS, e.g.: select ptip1.item_id from list_item ptip1 where ptip1.list_id = 109774 and not exists (SELECT 1 from list_item ptip2 where ptip2.list_id = 124600 and ptip1.item_id = ptip2.item_id); which caused " Hash Anti Join" in execution plan. Regards, Igor Neyman -- Sent via pgsql-general mailing list (pgsql-general@xxxxxxxxxxxxxx) To make changes to your subscription: http://www.postgresql.org/mailpref/pgsql-general
