Here is the explain analyze of the query:
explain analyze select count(*) from actvars, prodlevel where
actvars.product_level=prodlevel.code_level and
prodlevel.division_level='OY3S5LAPALL6';
Aggregate (cost=3123459.62..3123459.62 rows=1 width=32) (actual
time=1547173.60..1547173.60 rows=1
[EMAIL PROTECTED] writes:
Here is the explain analyze of the query:
explain analyze select count(*) from actvars, prodlevel where
actvars.product_level=prodlevel.code_level and
prodlevel.division_level='OY3S5LAPALL6';
[ slow merge join ]
I wonder whether a hash join wouldn't work better.
[EMAIL PROTECTED] wrote:
Hi guys
Im running a Datawarehouse benchmark (APB-1) on PostgreSql. The objective is to
choose which of the to main db (PostgreSQL, MySQL) is fastest. I've run into a
small problem which I hope could be resolved here.
I'm trying to speed up this query:
select count(*)
Hi guys
Im running a Datawarehouse benchmark (APB-1) on PostgreSql. The objective is to
choose which of the to main db (PostgreSQL, MySQL) is fastest. I've run into a
small problem which I hope could be resolved here.
I'm trying to speed up this query:
select count(*) from actvars, prodlevel
Im running a Datawarehouse benchmark (APB-1) on PostgreSql. The objective is to
choose which of the to main db (PostgreSQL, MySQL) is fastest. I've run into a
small problem which I hope could be resolved here.
I'm trying to speed up this query:
select count(*) from actvars, prodlevel
