Re: [PERFORM] Optimization inner join - Mailing list pgsql-performance
From | Gustavo Rezende Montesino |
---|---|
Subject | Re: [PERFORM] Optimization inner join |
Date | |
Msg-id | 5880BDEA.9050804@trtsp.jus.br Whole thread Raw |
In response to | Re: [PERFORM] Optimization inner join (Clailson <clailson.dba@gmail.com>) |
Responses |
Re: [PERFORM] Optimization inner join
Re: [PERFORM] Optimization inner join |
List | pgsql-performance |
Hello,
Being the client in question, I would like to make a little remark: What we thought could be optimized here at first is on the row estimate of the index scan; which could take null_frac into account. To put things into perspective, our similar case in production has a table with 6 million lines where only 9.5k aren´t null for the join field, an the over-estimation is throwing away good plans (like ~150ms execution time) in favor of pretty bad ones (~80s execution time).
We´ve asked application people to put the where not null workaround, which works great, and are waiting on an answer, but I believe getting better estimates without that would be great if possible.
Is that so? I would believe you would never get a match, as NULL <> NULL
Regards,
Em 19/01/2017 11:04, Clailson escreveu:
Hi Phillip.Not sure if it is all that common. Curious what if you put b.b IS NOT NULL in the WHERE statement?
It's the question. In the company I work with, one of my clients asked me: "Why PostgreSQL does not remove rows with null in column b (table b), before joining, since these rows have no corresponding in table a?" I gave the suggestion to put the IS NOT NULL in the WHERE statement, but HE can't modify the query in the application.
I did the tests with Oracle and it uses a predicate in the query plan, removing the lines where b.b is null. In Oracle, it´s the same plan, with and without IS NOT NULL in the WHERE statement.
Being the client in question, I would like to make a little remark: What we thought could be optimized here at first is on the row estimate of the index scan; which could take null_frac into account. To put things into perspective, our similar case in production has a table with 6 million lines where only 9.5k aren´t null for the join field, an the over-estimation is throwing away good plans (like ~150ms execution time) in favor of pretty bad ones (~80s execution time).
We´ve asked application people to put the where not null workaround, which works great, and are waiting on an answer, but I believe getting better estimates without that would be great if possible.
On 19/01/2017 09:34, Phillip Couto wrote:NULL is still a value that may be paired with a NULL in a.a
Is that so? I would believe you would never get a match, as NULL <> NULL
On Jan 19, 2017, at 05:08, Clailson <clailson.dba@gmail.com> wrote:Hi,
Is there something in the roadmap to optimize the inner join?
I've this situation above. Table b has 400 rows with null in the column b.
explain analyze select * from a inner join b on (b.b = a.a);"Merge Join (cost=0.55..65.30 rows=599 width=16) (actual time=0.030..1.173 rows=599 loops=1)" " Merge Cond: (a.a = b.b)" " -> Index Scan using a_pkey on a (cost=0.28..35.27 rows=1000 width=8) (actual time=0.014..0.364 rows=1000 loops=1)" " -> Index Scan using in01 on b (cost=0.28..33.27 rows=1000 width=8) (actual time=0.012..0.249 rows=600 loops=1)" "Total runtime: 1.248 ms" My question is: Why the planner isn't removing the null rows during the scan of table b?-- Clailson Soares Dinízio de Almeida
Regards,
Gustavo R. Montesino Tribunal Regional do Trabalho da 2a Região Secretaria de Tecnologia da Informação e Comunicação Coordenadoria de Infraestrutura de TIC Seção de Administração de Banco de Dados Av. Marquês de São Vicente, 121 - Bl. A - Sala 404 Telefone: (11) 3150-2082
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