2010/11/8 Mark Rostron <mrost...@ql2.com>:
>> >
>> > What is the procedure that postgres uses to decide whether or not a
>> > table/index block will be left in the shared_buffers cache at the end
>> > of the operation?
>> >
>>
>> The only special cases are for sequential scans and VACUUM, which use 
>> continuously re-use a small section of the buffer cache in some cases 
>> instead.
>
> Thanks - the part about sequential scans and the re-use of a small section of 
> shared_buffers is the bit I was interested in.
> I don't suppose you would be able to tell me how large that re-useable area 
> might be?

There are 256KB per seqscan and 256KB per vacuum.

I suggest you to go reading src/backend/storage/buffer/README

>
> Now, with regard to the behavior of table sequential scans: do the stat 
> values in seq_scan and seq_tup_read reflect actual behavior.
> I assume they do, but I'm just checking - these would be updated as the 
> result of real I/O as opposed to fuzzy estimates?

They represent the real stat for hit/read from shared_buffers, *not*
from OS buffers.

Getting real statistic from OS has a cost because postgresql don't use
(for other reason) mmap to get data.

>
> Obviously, the reason I am asking this is that I am noticing high machine io 
> levels that would only result from sequential scan activity

You may want to start inspect your postgresql buffer cache with the
contrib module pg_buffercache.
http://www.postgresql.org/docs/9.0/static/pgbuffercache.html

Then if it is not enough you can inspect more precisely your OS cache
with pgfincore but it migh be useless in your situation.
http://villemain.org/projects/pgfincore

> The explain output says otherwise, but the seq_scan stat value for the table 
> kinda correlates.

Starting with 9.0, the contrib module pg_stat_statements provide a lot
of information about buffer access (from shared buffers usage, but
still very valuable information) you should have a look at it if you
have such postgresql version installed.

-- 
Cédric Villemain               2ndQuadrant
http://2ndQuadrant.fr/     PostgreSQL : Expertise, Formation et Support

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