Re: 2nd Level Buffer Cache

From: Robert Haas <robertmhaas(at)gmail(dot)com>
To: Jeff Janes <jeff(dot)janes(at)gmail(dot)com>
Cc: Kevin Grittner <Kevin(dot)Grittner(at)wicourts(dot)gov>, rsmogura <rsmogura(at)softperience(dot)eu>, PG Hackers <pgsql-hackers(at)postgresql(dot)org>
Subject: Re: 2nd Level Buffer Cache
Date: 2011-03-22 19:53:08
Message-ID: AANLkTimhWo=rNeQ55OeXgVzder3-e8fMxHz7oP7n08UN@mail.gmail.com
Views: Raw Message | Whole Thread | Download mbox | Resend email
Thread:
Lists: pgsql-hackers

On Tue, Mar 22, 2011 at 11:24 AM, Jeff Janes <jeff(dot)janes(at)gmail(dot)com> wrote:
> On Fri, Mar 18, 2011 at 9:19 AM, Robert Haas <robertmhaas(at)gmail(dot)com> wrote:
>> On Fri, Mar 18, 2011 at 11:14 AM, Kevin Grittner
>> <Kevin(dot)Grittner(at)wicourts(dot)gov> wrote:
>>> Maybe the thing to focus on first is the oft-discussed "benchmark
>>> farm" (similar to the "build farm"), with a good mix of loads, so
>>> that the impact of changes can be better tracked for multiple
>>> workloads on a variety of platforms and configurations.  Without
>>> something like that it is very hard to justify the added complexity
>>> of an idea like this in terms of the performance benefit gained.
>>
>> A related area that could use some looking at is why performance tops
>> out at shared_buffers ~8GB and starts to fall thereafter.
>
> Under what circumstances does this happen?  Can a simple pgbench -S
> with a large scaling factor elicit this behavior?

To be honest, I'm mostly just reporting what I've heard Greg Smith say
on this topic. I don't have any machine with that kind of RAM.

--
Robert Haas
EnterpriseDB: http://www.enterprisedb.com
The Enterprise PostgreSQL Company

In response to

Responses

Browse pgsql-hackers by date

  From Date Subject
Next Message Devrim GÜNDÜZ 2011-03-22 19:55:32 Re: 2nd Level Buffer Cache
Previous Message Robert Haas 2011-03-22 19:51:01 Re: Sync Rep and shutdown Re: Sync Rep v19