Last OSCON, I actually loaded up a WEX dump into LucidDB in between sessions, but the bulk of it was semi-/un-structured text, which wasn't very interesting since LucidDB doesn't support lobs and fulltext/XML search yet.
Also in the open source camp: Infobright is the lowest learning curve for MySQL users; MonetDB has XQuery support and is very fast as long as everything fits in memory.
]]>Thanks
]]>Years ago I worked on a project called the Global Performing Arts Database
where text about an media item was distributed in literally hundreds of different tables, since the system coded statements like
"Picture A was taken during a production of Hamlet"
"Hamlet was written by Shakespeare"
in machine-readable (RDBMS) form. Of course we wanted Picture A to show up in a picture of Shakespeare, so we had to do a graph traversal of the RDBMS tables to collect any text that might be relevant to an item (careful not to follow paths that would lead to irrelevant results.) This way we'd build up a document vector which we'd index in a conventional full text system. Can Sphinx support that kind of thing easily?
]]>sphinxsearch.com
]]>