Gary W. Smith wrote > > -----Original Message----- > > From: Webmaster [mailto:[EMAIL PROTECTED] > > Sent: Wednesday, March 01, 2006 11:59 PM > > To: users@spamassassin.apache.org > > Subject: bayes DBM versus SQL > > > > Those of you you have used both native DBM and new SQL > bayesian, can > > you comment on benefits of one versus the other please. > > > > Much appreciated! > > > DBM is fine for small installations but if you need to scale > up then SQL will allow for a consolidate database across > multiple machine. > > We use it on a decent size platform (multiple front end > relays, multiple sa boxes and a clustered MySQL instance). > It works well for us. > > For bayes training, we use a separate linux workstation and > just point it to the master database. This gives us the > ability to do tasks without impacting the overall SA boxes. > >
Thanks. So SQL is the way to go for cluster enviroment. Having a separate training box is also a good idea.
