From: | "Pavan Deolasee" <pavan(dot)deolasee(at)gmail(dot)com> |
---|---|
To: | "Simon Riggs" <simon(at)2ndquadrant(dot)com> |
Cc: | "Heikki Linnakangas" <heikki(at)enterprisedb(dot)com>, "Bruce Momjian" <bruce(at)momjian(dot)us>, "Tom Lane" <tgl(at)sss(dot)pgh(dot)pa(dot)us>, "Florian Pflug" <fgp(dot)phlo(dot)org(at)gmail(dot)com>, "Gregory Stark" <stark(at)enterprisedb(dot)com>, PostgreSQL-patches <pgsql-patches(at)postgresql(dot)org> |
Subject: | Re: HOT patch - version 15 |
Date: | 2007-09-10 12:44:34 |
Message-ID: | 2e78013d0709100544k285270va47364e9c5c22342@mail.gmail.com |
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Lists: | pgsql-patches |
On 9/10/07, Simon Riggs <simon(at)2ndquadrant(dot)com> wrote:
>
> On Mon, 2007-09-10 at 12:17 +0100, Heikki Linnakangas wrote:
> > Bruce Momjian wrote:
> > > (Can someone time the access time for following a chain that fills an
> > > entire page (the worst case) vs. having a single tuple on the page?)
> >
> > Here is some results, on my laptop.
>
> > HEAD HOT HOT-opt HOT-pruned
> > seqscan 19.9 21.1 20.1 11.5
> > idxscan 27.8 31.4 30.4 13.7
> >
>
> > Comparing the idxscan columns, it looks like following the chain *is*
> > more expensive than having to go through killed index pointers. Pruning
> > clearly does help.
> >
> > Given that this test is pretty much the worst case scenario, I'm ok with
> > not pruning for the purpose of keeping chains short.
>
> I wasn't expecting that result and had accepted the counter argument.
>
>
Yes, I go with Simon. I am also surprised that HOT-pruned did
so well in this setup. I always thought that HOT would do well
in update-intensive scenarios, but from the results it seems that
HOT is also doing well for read-mostly queries.
In this particular example, the first SELECT after the 250 UPDATEs
would have pruned all the dead tuples and reduced HOT chain
to a single tuple. Hence the total time for subsequent SELECTs improved
tremendously.
Thanks,
Pavan
--
Pavan Deolasee
EnterpriseDB http://www.enterprisedb.com
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