From: | Frédéric Yhuel <frederic(dot)yhuel(at)dalibo(dot)com> |
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To: | Laurenz Albe <laurenz(dot)albe(at)cybertec(dot)at>, Robert Haas <robertmhaas(at)gmail(dot)com>, Nathan Bossart <nathandbossart(at)gmail(dot)com> |
Cc: | Melanie Plageman <melanieplageman(at)gmail(dot)com>, PostgreSQL Hackers <pgsql-hackers(at)lists(dot)postgresql(dot)org>, David Rowley <dgrowleyml(at)gmail(dot)com> |
Subject: | Re: New GUC autovacuum_max_threshold ? |
Date: | 2024-04-26 07:35:24 |
Message-ID: | d120db91-393e-4904-83df-d936eee56db4@dalibo.com |
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Lists: | pgsql-hackers |
Le 26/04/2024 à 04:24, Laurenz Albe a écrit :
> On Thu, 2024-04-25 at 14:33 -0400, Robert Haas wrote:
>> I believe that the underlying problem here can be summarized in this
>> way: just because I'm OK with 2MB of bloat in my 10MB table doesn't
>> mean that I'm OK with 2TB of bloat in my 10TB table. One reason for
>> this is simply that I can afford to waste 2MB much more easily than I
>> can afford to waste 2TB -- and that applies both on disk and in
>> memory.
>
> I don't find that convincing. Why are 2TB of wasted space in a 10TB
> table worse than 2TB of wasted space in 100 tables of 100GB each?
>
Good point, but another way of summarizing the problem would be that the
autovacuum_*_scale_factor parameters work well as long as we have a more
or less evenly distributed access pattern in the table.
Suppose my very large table gets updated only for its 1% most recent
rows. We probably want to decrease autovacuum_analyze_scale_factor and
autovacuum_vacuum_scale_factor for this one.
Partitioning would be a good solution, but IMHO postgres should be able
to handle this case anyway, ideally without per-table configuration.
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