Re: why doesn't optimizer can pull up where a > ( ... )
От | Andy Fan |
---|---|
Тема | Re: why doesn't optimizer can pull up where a > ( ... ) |
Дата | |
Msg-id | CAKU4AWrLa4y-t5O10x4w1aDog7TRm5O7YnGZ8FmU7BS9qFTxWQ@mail.gmail.com обсуждение исходный текст |
Ответ на | why doesn't optimizer can pull up where a > ( ... ) (Andy Fan <zhihui.fan1213@gmail.com>) |
Список | pgsql-hackers |
On Wed, Nov 20, 2019 at 8:15 PM Andy Fan <zhihui.fan1213@gmail.com> wrote:
Hi Hackers:First I found the following queries running bad on pg.select count(*) from part2 p1 where p_size > 40 and p_retailprice > (select avg(p_retailprice) from part2 p2 where p2.p_brand=p1.p_brand);the plan isQUERY PLAN
------------------------------------------------------------------------------------
Aggregate (cost=1899310537.28..1899310537.29 rows=1 width=8)
-> Seq Scan on part2 p1 (cost=0.00..1899310456.00 rows=32513 width=0)
Filter: ((p_size > 40) AND (p_retailprice > (SubPlan 1)))
SubPlan 1
-> Aggregate (cost=6331.00..6331.01 rows=1 width=32)
-> Seq Scan on part2 p2 (cost=0.00..5956.00 rows=150000 width=4)
Filter: (p_brand = p1.p_brand)however if we change it to the following format, it runs pretty quick.select count(*) from part2,
(select p_brand, avg(p_retailprice) as avg_price from part2 where p_size > 40 group by p_brand) p2
where p_retailprice > p2.avg_price
and p_size > 40
and part2.p_brand = p2.p_brand;The above example comes from https://community.pivotal.io/s/article/Pivotal-Query-Optimizer-Explained with a litter modification.1. why pg can't translate the query 1 to query 2. after some checking on pull_up_sublinks_qual_recurse, I still doesn't get the idea.2. why pg can't do it, while greenplum can?Thanks
add the sql I used for testing for reference.
p_partkey integer NOT NULL,
p_brand character(10) NOT NULL,
p_size integer NOT NULL,
p_retailprice numeric(15,2) NOT NULL
);
insert into part2 select 1, 'brand1', random_between(0, 40), random_between(0, 40) from generate_series(1, 100000);
insert into part2 select 2, 'brand2', random_between(40, 80), random_between(0, 40) from generate_series(1, 100000);
insert into part2 select 3, 'brand1', random_between(0, 40), random_between(0, 40) from generate_series(1, 100000);
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