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From: Alexander Staubo <alex@purefiction.net>
To: Andrew Lazarus <andrew@pillette.com>
Cc: pgsql-performance@postgresql.org
Subject: Re: index structure for 114-dimension vector
Date: Tue, 1 May 2007 22:27:23 +0200
Message-ID: <88daf38c0705011327u5d704932vcd7d9cfb4f29b62a@mail.gmail.com> (raw)
In-Reply-To: <408030727.20070501110924@pillette.com>
References: <b42b73150704170917n33ebcdc8wc852a3fa02fd8bb5@mail.gmail.com>
	<01db01c781e4$c700bf30$2e00a8c0@tridecap.com>
	<b42b73150704181716wb1600aey8761b6793d3fd702@mail.gmail.com>
	<1217328326.20070420120729@pillette.com>
	<88daf38c0704261534n2a6d3ab8g57482bae8672da53@mail.gmail.com>
	<Pine.LNX.4.64.0704270838230.12152@sn.sai.msu.ru>
	<408030727.20070501110924@pillette.com>

On 5/1/07, Andrew Lazarus <andrew@pillette.com> wrote:
> Let me just thank the list, especially for the references. (I found
> similar papers myself with Google: and to think I have a university
> library alumni card and barely need it any more!)
>
> I'll write again on the sorts of results I get.

Looking forward to hearing about them. I have worked with such dataset
problems, but never attempted to apply them to a relational database
such as PostgreSQL. If you want speed, nothing beats in-memory vectors
on a modern CPU architecture.

Alexander.

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  Subject: Re: index structure for 114-dimension vector
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