Re: hash aggregation

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On Wed, Oct 10, 2012 at 9:09 AM, Korisk <Korisk@xxxxxxxxx> wrote:
> Hello! Is it possible to speed up the plan?
>  Sort  (cost=573977.88..573978.38 rows=200 width=32) (actual time=10351.280..10351.551 rows=4000 loops=1)
>    Output: name, (count(name))
>    Sort Key: hashcheck.name
>    Sort Method: quicksort  Memory: 315kB
>    ->  HashAggregate  (cost=573968.24..573970.24 rows=200 width=32) (actual time=10340.507..10341.288 rows=4000 loops=1)
>          Output: name, count(name)
>          ->  Seq Scan on public.hashcheck  (cost=0.00..447669.16 rows=25259816 width=32) (actual time=0.019..2798.058 rows=25259817 loops=1)
>                Output: id, name, value
>  Total runtime: 10351.989 ms

AFAIU there are no query optimization solution for this.

It may be worth to create a table hashcheck_stat (name, cnt) and
increment/decrement the cnt values with triggers if you need to get
counts fast.

-- 
Sergey Konoplev

a database and software architect
http://www.linkedin.com/in/grayhemp

Jabber: gray.ru@xxxxxxxxx Skype: gray-hemp Phone: +14158679984


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