Alexander Pyhalov writes:
> However, one table has 2250 partitions and I've seen several selects to this
> table (based on the primary key of individual partitions) with a huge IN ()
> list (about 500 keys). Don't expect this to be efficient, but unsure that
> these queries caused such memory
авлено: 17 октября 2019 г. 14:09
Кому: Alexander Pyhalov; pgsql-general@lists.postgresql.org
Тема: Re: PostgreSQL memory usage
Alexander Pyhalov wrote:
> After looking at my DBMS server for some time I've understood that I don't
> understand what was going on...
>
> A server
Alexander Pyhalov wrote:
> After looking at my DBMS server for some time I've understood that I don't
> understand what was going on...
>
> A server has 48 GB RAM. shared_buffers is set to 12GB, work_mem - to 32MB,
> pgbouncer
> in transaction mode is used to connect pool (pool size 80) to Postg
On Wed, Oct 16, 2019 at 6:30 PM Alexander Pyhalov wrote:
> I see that at some point several postgresql backends start consuming about 16
> GB RAM. If we account for shared_buffers, it meens 4 GB RAM for private
> backend memory. How can we achieve such numbers? I don't see any long-running
> (
Hello.
After looking at my DBMS server for some time I've understood that I don't
understand what was going on...
A server has 48 GB RAM. shared_buffers is set to 12GB, work_mem - to 32MB,
pgbouncer in transaction mode is used to connect pool (pool size 80) to
PostgreSQL 10.5 server.
I see t