This is a nice article, but I can't see if the server is dedicated to this
DSpace and how much memory is allocated to Java processes.
On a fairly loaded server, it took me 15 seconds per document on a 680,000
items DSpace (with 512MB allocated).
On Tue, Jan 27, 2009 at 4:09 PM, Stuart Lewis <s...@aber.ac.uk> wrote:
> > Given that the test in the paper uses neither postgres nor the DSpace
> > import tool, that seems unlikely.
>
> 30,000 items shouldn't pose a big problem for any mature DBMS (e.g.
> Postgres
> / MySQL etc). If there are problems at that scale, they are more likely to
> be in other parts of the system.
>
> We've recently finished testing DSpace ingest to 333,000 items using
> Postgres. Again, this wasn't using the batch importer, but instead using
> SWORD. Deposits into an empty repository took about 1.5 seconds each, and
> at
> a third of a million items they took about 7 seconds. So the problems
> probably aren't with Postgres. For details see:
>
>
> http://blog.stuartlewis.com/2009/01/19/dspace-at-a-third-of-a-million-items/
>
> Cheers,
>
>
> Stuart
> _________________________________________________________________
>
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>
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