Re: Optimizer's issue

PFC пишет:
> On Thu, 24 Apr 2008 03:14:54 +0200, Vlad Arkhipov
> <arhipov@dc.baikal.ru> wrote:
>
>> I found strange issue in very simple query. Statistics for all columns
>> is on the level 1000 but I also tried other levels.
>>
>> create table g (
>>   id bigint primary key,
>>   isgroup boolean not null);
>>
>> create table a (
>>   groupid bigint references g(id),
>>   id bigint,
>>   unique(id, groupid));
>>
>> analyze g;
>> analyze a;
>>
>> select count(*) from a
>> 294
>>
>> select count(*) from g
>> 320
>>
>> explain analyze
>> select *
>> from g
>>   join a on a.groupid = g.id
>> where g.isgroup
>>
>> Hash Join  (cost=5.35..11.50 rows=11 width=25) (actual time=0.261..1.755
>> rows=294 loops=1)
>>   Hash Cond: (a.groupid = g.id)
>>   ->  Seq Scan on a  (cost=0.00..4.94 rows=294 width=16) (actual
>> time=0.047..0.482 rows=294 loops=1)
>>   ->  Hash  (cost=5.20..5.20 rows=12 width=9) (actual time=0.164..0.164
>> rows=12 loops=1)
>>         ->  Seq Scan on g  (cost=0.00..5.20 rows=12 width=9) (actual
>> time=0.042..0.136 rows=12 loops=1)
>>               Filter: isgroup
>> Total runtime: 2.225 ms
>
>     You should really put an EXPLAIN ANALYZE of your big query.
>
>     This little query plan seems OK to me.
>     Two very small tables, ok, hash'em, it's the best.
>     Now, of course if it is repeated for every row in your JOIN, you
> have a problem.
>     The question is, why is it repeated for every row ?
>     This cannot be answered without seeing the whole query.
>
>     Another question would be, is there a way to structure the tables
> differently ?
>     Again, this cannot be answered without seeing the whole query, and
> some explanation about what the data & fields mean.
>
>     Please provide more information...
>
>
>
I redesigned tables structure and the query seems to be become faster.
You was right, the problem was not in this query.