Re: significant slow down with various LIMIT - Mailing list pgsql-performance

From norn
Subject Re: significant slow down with various LIMIT
Date
Msg-id 2b28864d-535b-4cd8-8777-cacc43431791@x12g2000yqx.googlegroups.com
Whole thread Raw
In response to significant slow down with various LIMIT  (norn <andrey.perliev@gmail.com>)
List pgsql-performance
On Apr 10, 6:48 am, robertmh...@gmail.com (Robert Haas) wrote:
> On Tue, Apr 6, 2010 at 8:42 PM, norn <andrey.perl...@gmail.com> wrote:
> > I have some mysterious slow downs with ORDER BY and LIMIT. When LIMIT
> > getting greater than some value (greater than 3 in my case), query
> > takes 4-5 secs instead of 0.25ms. All of the necessary indexes are in
> > place. I have no idea what to do, so any advices are welcome!
>
> > Here my queries and explain analyzes;
>
> > First Query with LIMIT 3 (fast)
> > -------------
> > explain analyze SELECT core_object.id from "core_object" INNER JOIN
> > "plugins_plugin_addr" ON ("core_object"."id" =
> > "plugins_plugin_addr"."oid_id") INNER JOIN "plugins_guide_address" ON
> > ("plugins_plugin_addr"."address_id" = "plugins_guide_address"."id")
> > WHERE "plugins_guide_address"."city_id" = 4535  ORDER BY
> > "core_object"."id" DESC LIMIT 3;
>
> >  Limit  (cost=0.00..9.57 rows=3 width=4) (actual time=0.090..0.138
> > rows=3 loops=1)
> >   ->  Merge Join  (cost=0.00..1098182.56 rows=344125 width=4) (actual
> > time=0.088..0.136 rows=3 loops=1)
> >         Merge Cond: (plugins_plugin_addr.oid_id = core_object.id)
> >         ->  Nested Loop  (cost=0.00..972804.02 rows=344125 width=4)
> > (actual time=0.056..0.095 rows=3 loops=1)
> >               ->  Index Scan Backward using
> > plugins_plugin_addr_oid_id on plugins_plugin_addr
> > (cost=0.00..52043.06 rows=1621103 width=8) (actual time=0.027..0.032
> > rows=3 loops=1)
> >               ->  Index Scan using plugins_guide_address_pkey on
> > plugins_guide_address  (cost=0.00..0.56 rows=1 width=4) (actual
> > time=0.017..0.018 rows=1 loops=3)
> >                     Index Cond: (plugins_guide_address.id =
> > plugins_plugin_addr.address_id)
> >                     Filter: (plugins_guide_address.city_id = 4535)
> >         ->  Index Scan using core_object_pkey_desc on core_object
> > (cost=0.00..113516.08 rows=3091134 width=4) (actual time=0.026..0.028
> > rows=3 loops=1)
> >  Total runtime: 0.244 ms
> > (10 rows)
>
> > Second Query, the same, but with LIMIT 4 (slooooow)
> > -------------
> > explain analyze SELECT core_object.id from "core_object" INNER JOIN
> > "plugins_plugin_addr" ON ("core_object"."id" =
> > "plugins_plugin_addr"."oid_id") INNER JOIN "plugins_guide_address" ON
> > ("plugins_plugin_addr"."address_id" = "plugins_guide_address"."id")
> > WHERE "plugins_guide_address"."city_id" = 4535  ORDER BY
> > "core_object"."id" DESC LIMIT 4;
>
> >  Limit  (cost=0.00..12.76 rows=4 width=4) (actual time=0.091..4436.795
> > rows=4 loops=1)
> >   ->  Merge Join  (cost=0.00..1098182.56 rows=344125 width=4) (actual
> > time=0.089..4436.791 rows=4 loops=1)
> >         Merge Cond: (plugins_plugin_addr.oid_id = core_object.id)
> >         ->  Nested Loop  (cost=0.00..972804.02 rows=344125 width=4)
> > (actual time=0.056..3988.249 rows=4 loops=1)
> >               ->  Index Scan Backward using
> > plugins_plugin_addr_oid_id on plugins_plugin_addr
> > (cost=0.00..52043.06 rows=1621103 width=8) (actual time=0.027..329.942
> > rows=1244476 loops=1)
> >               ->  Index Scan using plugins_guide_address_pkey on
> > plugins_guide_address  (cost=0.00..0.56 rows=1 width=4) (actual
> > time=0.003..0.003 rows=0 loops=1244476)
> >                     Index Cond: (plugins_guide_address.id =
> > plugins_plugin_addr.address_id)
> >                     Filter: (plugins_guide_address.city_id = 4535)
> >         ->  Index Scan using core_object_pkey_desc on core_object
> > (cost=0.00..113516.08 rows=3091134 width=4) (actual
> > time=0.027..284.195 rows=1244479 loops=1)
> >  Total runtime: 4436.894 ms
> > (10 rows)
>
> What do you get with no LIMIT at all?
>
> ...Robert
>
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Without using limit query takes 5-6 seconds, but I have to get only a
couple of last rows with a cost of 200-300ms


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