> 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 _________________________________________________________________ Gwasanaethau Gwybodaeth Information Services Prifysgol Aberystwyth Aberystwyth University E-bost / E-mail: [email protected] Ffon / Tel: (01970) 622860 _________________________________________________________________ ------------------------------------------------------------------------------ This SF.net email is sponsored by: SourcForge Community SourceForge wants to tell your story. http://p.sf.net/sfu/sf-spreadtheword _______________________________________________ DSpace-tech mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/dspace-tech
