From: | Scott Marlowe <smarlowe(at)g2switchworks(dot)com> |
---|---|
To: | Dan Armbrust <daniel(dot)armbrust(dot)list(at)gmail(dot)com> |
Cc: | pgsql-general(at)postgresql(dot)org |
Subject: | Re: index row size exceeds btree maximum, 2713 - |
Date: | 2005-07-18 20:55:46 |
Message-ID: | 1121720146.8208.346.camel@state.g2switchworks.com |
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Lists: | pgsql-general |
On Mon, 2005-07-18 at 15:17, Dan Armbrust wrote:
> We have built a Model for terminologies that we call The Lexical Grid
> (more info http://informatics.mayo.edu/LexGrid/index.php)
>
> LexGrid has multiple backend data storage mechanisms, including LDAP
> and SQL. We do our best to remain implementation independent - our
> SQL implementations, for example can run against MS Access, DB2, MySQL
> and PostgreSQL.
>
> I'm currently trying to load a new terminology into a PosgreSQL
> backend, and arrived at this error because it happens to have a couple
> of very large data values that get mapped into the 'propertyvalue'
> field.
Well, if you're trying to maintain compatibility to multiple backends,
then requiring a non-standard block size is going to be a big
non-starter for most folks running postgresql. Very few, if any users,
are going to be willing to install a version of postgresql setup that
way just because of one program's needs.
Does this need to be a unique index for any reason? If so, then an
md5(propertyvalue) would give you that. If not, then you could make a
partial index like so:
create index yada_dx on yada (propertyvalue) where
length(propertybalue)<100;
But that would require you to add "where length(propertyvalue)<100" onto
your queries to use the index, I believe.
OTOH, this may be the time to use a hash index.
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