From: | Greg Stark <gsstark(at)mit(dot)edu> |
---|---|
To: | Robert Haas <robertmhaas(at)gmail(dot)com> |
Cc: | Tom Lane <tgl(at)sss(dot)pgh(dot)pa(dot)us>, Jim Nasby <jim(at)nasby(dot)net>, Jeff Janes <jeff(dot)janes(at)gmail(dot)com>, 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: | 2011-03-24 21:34:55 |
Message-ID: | AANLkTimEBwYDmwFc-3N_vZ+_c_5c8JZ2PxTB8qQ3ZOOM@mail.gmail.com |
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On Thu, Mar 24, 2011 at 8:59 PM, Robert Haas <robertmhaas(at)gmail(dot)com> wrote:
> It seems at least plausible that buffer allocation could be
> significantly faster if it need only pop the head of a list, rather
> than scanning until it finds a suitable candidate. Moving as much
> buffer allocation work as possible into the background seems like it
> ought to be useful.
>
Linked lists are notoriously non-concurrent, that's the whole reason
for the clock sweep algorithm to exist at all instead of just using an
LRU directly. That said, an LRU needs to be able to remove elements
from the middle and not just enqueue elements on the tail, so the
situation isn't exactly equivalent.
Just popping off the head is simple enough but the bgwriter would need
to be able to add elements to the tail of the list and the people
popping elements off the head would need to compete with it for the
lock on the list. And I think you need a single lock for the whole
list because of the cases where the list becomes a single element or
empty.
The main impact this list would have is that it would presumably need
some real number of buffers to satisfy the pressure for victim buffers
for a real amount of time. That would represent a decrease in cache
size, effectively evicting buffers from cache as if the cache were
smaller by that amount.
Theoretical results are that a small change in cache size affects
cache hit rates substantially. I'm not sure that's born out by
practical experience with Postgres though. People tend to either be
doing mostly i/o or very little i/o. Cache hit rate only really
matters and is likely to be affected by small changes in cache size in
the space in between
--
greg
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