Re: less than 2 sec for response - possible?
От | trafdev |
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Тема | Re: less than 2 sec for response - possible? |
Дата | |
Msg-id | 1d480b23-b7ed-413e-5ce9-cbf974bd8a9f@mail.ru обсуждение исходный текст |
Ответ на | Re: less than 2 sec for response - possible? (Torsten Zuehlsdorff <mailinglists@toco-domains.de>) |
Ответы |
Re: less than 2 sec for response - possible?
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Список | pgsql-performance |
Wondering what are your CPU\RAM characteristics? On 07/06/16 01:35, Torsten Zuehlsdorff wrote: > On 05.07.2016 17:35, trafdev wrote: >> [..] >> Without TIMESTAMP cast: >> >> QUERY PLAN >> HashAggregate (cost=1405666.90..1416585.93 rows=335970 width=86) >> (actual time=4797.272..4924.015 rows=126533 loops=1) >> " Group Key: subid, sid" >> Buffers: shared hit=1486949 >> -> Index Scan using ix_feed_sub_aid_date on feed_sub >> (cost=0.44..1313275.32 rows=3359694 width=86) (actual >> time=0.019..1783.104 rows=3588376 loops=1) >> Index Cond: ((aid = 3) AND (date >= '2016-06-01'::date) AND >> (date <= '2016-06-30'::date)) >> Buffers: shared hit=1486949 >> Planning time: 0.164 ms >> Execution time: 4941.259 ms >> >> I need to be sure it's a physical limitation of a Postgresql (when all >> data is in a memory and fetching\joining 1.5 mln of rows can't be done >> in less than 2-3 seconds) and there is no way to improve it. > > It could be a physical limitation of your hardware. I just did a short > test on one of my databases: > > Aggregate (cost=532018.95..532018.96 rows=1 width=0) (actual > time=3396.689..3396.689 rows=1 loops=1) > Buffers: shared hit=155711 > -> Index Only Scan using requests_request_time_idx on requests > (cost=0.43..493109.90 rows=15563620 width=0) (actual > time=0.021..2174.614 rows=16443288 loops=1) > Index Cond: ((request_time >= '2016-07-01 > 00:00:00+00'::timestamp with time zone) AND (request_time <= '2017-07-06 > 00:00:00+00'::timestamp with time zone)) > Heap Fetches: 31254 > Buffers: shared hit=155711 > Planning time: 0.143 ms > Execution time: 3396.715 ms > (8 rows) > > As you can see i can get 16.4 Mio rows within 3.4 seconds from cache. > Your index-scan fetches 3.5 mio in 1.7 second, that's hardly half of the > performance of my database. > > Greetings, > Torsten >
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