"Jim 'Decibel!' Nasby" <jnasby@xxxxxxxxxxxxxx> writes: > Here's the commands to generate the test case: > create table a(a int, b text default 'test text'); > create table c(c_id serial primary key, c_text text); > insert into c(c_text) values('a'),('b'),('c'); > create table b(a int, c_id int references c(c_id)); > create view v as select a, b, null as c_id, null as c_text from a > union all select a, null, b.c_id, c_text from b join c on (b.c_id= > c.c_id); > \timing > insert into a(a) select generate_series(1,9999999); > select count(*) from a; > select count(*) from v; > explain analyze select count(*) from a; > explain analyze select count(*) from v; I think what you're looking at is projection overhead and per-plan-node overhead (the EXPLAIN ANALYZE in itself contributes quite a lot of the latter). One thing you could do is be more careful about making the union input types match up so that no subquery scan nodes are required: create view v2 as select a, b, null::int as c_id, null::text as c_text from a union all select a, null::text, b.c_id, c_text from b join c on (b.c_id=c.c_id); On my machine this runs about twice as fast as the original view. regards, tom lane -- Sent via pgsql-performance mailing list (pgsql-performance@xxxxxxxxxxxxxx) To make changes to your subscription: http://www.postgresql.org/mailpref/pgsql-performance