Re: one column from huge view

От: Tom Lane
Тема: Re: one column from huge view
Дата: ,
Msg-id: 17948.1184251697@sss.pgh.pa.us
(см: обсуждение, исходный текст)
Ответ на: Re: one column from huge view  (Heikki Linnakangas)
Список: pgsql-performance

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one column from huge view  (Marcin Stępnicki, )
 Re: one column from huge view  (Heikki Linnakangas, )
  Re: one column from huge view  (Michael Fuhr, )
   Re: one column from huge view  (Heikki Linnakangas, )
  Re: one column from huge view  (Tom Lane, )

Heikki Linnakangas <> writes:
> Marcin Stępnicki wrote:
>> Now, does PostgreSQL skip all the calculations from other columns and
>> executes this query faster then select * from huge_view?

> In simple cases, yes.

A rule of thumb is that it's been optimized if you don't see a "Subquery
Scan" node in the plan.  As an example:

regression=# create view v1 as select * from tenk1;
CREATE VIEW
regression=# create view v2 as select *,random() from tenk1;
CREATE VIEW
regression=# explain select unique1 from v1;
                        QUERY PLAN
-----------------------------------------------------------
 Seq Scan on tenk1  (cost=0.00..458.00 rows=10000 width=4)
(1 row)

regression=# explain select unique1 from v2;
                            QUERY PLAN
-------------------------------------------------------------------
 Subquery Scan v2  (cost=0.00..583.00 rows=10000 width=4)
   ->  Seq Scan on tenk1  (cost=0.00..483.00 rows=10000 width=244)
(2 rows)

If you want to look closer you can use EXPLAIN VERBOSE and count the
TARGETENTRY nodes in the targetlist for each plan node.  In the above
example, it's possible to see in the EXPLAIN VERBOSE output that the
Seq Scan node in the first plan is computing only the single variable
requested, whereas in the second plan the Seq Scan node is computing
all the outputs of the view (including the random() function call)
and then the Subquery Scan is projecting only a single column from
that result.

            regards, tom lane


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