Re: drop duplicate buffers in OS

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От Jeff Janes
Тема Re: drop duplicate buffers in OS
Дата
Msg-id CAMkU=1xoX7Dxu6V433gyrfgdyLEjVLev7L8xJ7w3MkJUay4FOw@mail.gmail.com
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Ответ на Re: drop duplicate buffers in OS  (Robert Haas <robertmhaas@gmail.com>)
Ответы Re: drop duplicate buffers in OS  (KONDO Mitsumasa <kondo.mitsumasa@lab.ntt.co.jp>)
Список pgsql-hackers
On Wed, Jan 15, 2014 at 10:34 AM, Robert Haas <robertmhaas@gmail.com> wrote:
On Wed, Jan 15, 2014 at 1:53 AM, KONDO Mitsumasa
<kondo.mitsumasa@lab.ntt.co.jp> wrote:
> I create patch that can drop duplicate buffers in OS using usage_count
> alogorithm. I have developed this patch since last summer. This feature seems to
> be discussed in hot topic, so I submit it more faster than my schedule.
>
> When usage_count is high in shared_buffers, they are hard to drop from
> shared_buffers. However, these buffers wasn't required in file cache. Because
> they aren't accessed by postgres(postgres access to shared_buffers).
> So I create algorithm that dropping file cache which is high usage_count in
> shared_buffers and is clean state in OS. If file cache are clean state in OS, and
> executing posix_fadvice DONTNEED, it can only free in file cache without writing
> physical disk. This algorithm will solve double-buffered situation problem and
> can use memory more efficiently.
>
> I am testing DBT-2 benchmark now...

Have you had any luck with it?  I have reservations about this approach.  Among other reasons, if the buffer is truly nailed in shared_buffers for the long term, the kernel won't see any activity on it and will be able to evict it fairly efficiently on its own.  

So I'm reluctant to do a detailed review if the author cannot demonstrate a performance improvement.  I'm going to mark it waiting-on-author for that reason.
 

The thing about this is that our usage counts for shared_buffers don't
really work right now; it's common for everything, or nearly
everything, to have a usage count of 5.  


I'm surprised that that is common.  The only cases I've seen that was either when the database exactly fits in shared_buffers, or when the database is mostly appended, and the appends are done with inserts in a loop rather than COPY.

Cheers,

Jeff

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