Re: Replication Syatem

From: "Pavan Deolasee" <pavan(dot)deolasee(at)gmail(dot)com>
To: "Tom Lane" <tgl(at)sss(dot)pgh(dot)pa(dot)us>
Cc: "Gauri Kanekar" <meetgaurikanekar(at)gmail(dot)com>, "Shane Ambler" <pgsql(at)sheeky(dot)biz>, "Alvaro Herrera" <alvherre(at)commandprompt(dot)com>, "Greg Smith" <gsmith(at)gregsmith(dot)com>, pgsql-performance(at)postgresql(dot)org
Subject: Re: Replication Syatem
Date: 2008-04-30 16:15:05
Message-ID: 2e78013d0804300915u32b9a190k86496c02dba7babd@mail.gmail.com
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On Wed, Apr 30, 2008 at 8:16 PM, Tom Lane <tgl(at)sss(dot)pgh(dot)pa(dot)us> wrote:
> "Pavan Deolasee" <pavan(dot)deolasee(at)gmail(dot)com> writes:
> > That's weird. With that fillfactor, you should have a very high
> > percentage of HOT update ratio. It could be a very special case that
> > we might be looking at.
>
> He's testing
>

It's "She" :-)

Oh yes. Apologies if I sounded harsh; did not mean that. I was just
completely confused why she is not seeing the HOT updates.

> >> update table1 set delta1 = 100 where code/1000000 =999;
>
> so all the rows being updated fall into a contiguous range of "code"
> values. If the table was loaded in such a way that those rows were
> also physically contiguous, then the updates would be localized and
> would very soon run out of freespace on those pages.
>

Yeah, that seems like the pattern. I tested with the similar layout
and a fill factor 80. The initial few bulk updates had comparatively
less HOT updates (somewhere 20-25%), But within 4-5 iterations of
updating the same set of rows, HOT updates were 90-95%. That's because
after few iterations (and because of non-HOT updates) the tuples get
scattered in various blocks, thus improving chances of HOT updates.

I guess the reason probably is that she is using fill factor for
indexes and not heap, but she hasn't yet confirmed.

Thanks,
Pavan

--
Pavan Deolasee
EnterpriseDB http://www.enterprisedb.com

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