On 1/16/2013 1:18 PM, Ben Johnson wrote:
On 1/16/2013 11:00 AM, John Hardin wrote:
On Wed, 16 Jan 2013, Ben Johnson wrote:
Is it possible that the training I've been doing over the last week or
so wasn't *effective* until recently, say, after restarting some
component of the mail stack? My understanding is that calling SA via
Amavis, which does not need/use the spamd daemon, forces all Bayes data
to be up-to-date on each call to spamassassin.
That shouldn't be the case. SA and sa-learn both use a shared-access
database; if you're training the database that SA is learning, the
results of training should be effective immediately.
Okay, good. Bowie's response to this question differed (he suggested
that Amavis would need to be restarted for Bayes to be updated), but I'm
pretty sure that restarting Amavis is not necessary. It seems unlikely
that Amavis would copy the entire Bayes DB (which is stored in MySQL on
this server) into memory every time that the Amavis service is started.
To do so seems self-defeating: more RAM usage, worse performance, etc.
Actually, I was making a general observation.
For cases where you would normally need to restart spamd, you will need
to restart amavis. This includes things like rule and configuration
changes.
Bayes data is read dynamically from your MySQL database and thus does
not require a restart of amavis/spamd when updated.
--
Bowie
