Thanks for the answers
> Subject: RE: Problems with high spam
> From: guent...@rudersport.de
> To: users@spamassassin.apache.org
> Date: Sat, 19 Sep 2009 00:45:23 +0200
>
> On Fri, 2009-09-18 at 17:27 -0500, Jose Luis Marin Perez wrote:
> > > > > > 512 MB Ram
> > > > >
> > > > > Ouch -- that server could go with some RAM, don't you think? No hard
> > > > > numbers, but given your 10k+ messages a day, I guess that's about the
> > > > > bare minimum.
> > > > >
> > > > > Oh, you mentioned yesterday running ClamAV, too. Yes, that is low.
> > > > > Hope
> > > > > you don't hit swap yet.
> > > >
> > > > For more than 10000 emails a day how much memory should be the server?
> > > > as one can calculate the amount of memory needed?
> > >
> > > That depends on mail spikes, processing times, how you call SA, other
> > > applications (like ClamAV), and whether or not you hit swap. You didn't
> > > answer that.
> >
> > This server has just installed SpamAssassin and is called from another
> > server using Simscan (With Qmail + Vpopmail + ClamAV).
>
> >From your original post:
> user_scores_dsn DBI:mysql:spamassassin:localhost
> user_awl_dsn DBI:mysql:spamassassin:localhost
> bayes_sql_dsn DBI:mysql:spamassassin:localhost
>
> So you ARE running an SQL server on this very host.
That's right, MySQL is installed on this server only for SpamAssassin
>
>
> > The average hourly emails scanned is approximately 500 but I imagine
> > it must be some hours where more emails coming.
> >
> > Think increasing to 2 GB of RAM is enough?
>
> Probably, yes. But yet again, it depends on what you are running on that
> server, and how severely it hits swap. As Jason said, *you* as a
> sysadmin must decide about this.
Swap is 1GB and apparently only uses less than 5%
free -m
total used free shared buffers cached
Mem: 501 340 161 0 62 73
-/+ buffers/cache: 204 296
Swap: 1027 30 997
uptime
18:12:20 up 71 days, 7:57, 2 users, load average: 0.09, 0.08, 0.02
>
>
> > Voy analizar cada entrada de whitelist_from
>
> Pardon? That doesn't parse here... ;)
Sorry :-)
I analyze each entry whitelist_from
>
>
> > > > > Maybe your Bayes is severely mis-trained? Or maybe you need that to
> > > > > counter the whitelist_from for pills spam pretending to be sent from
> > > > > your own domain. The score sure hints at that...
> > > >
> > > > As if well trained Bayes?
> > >
> > > Sorry, don't get that.
> >
> > I meant if there a way to know if this learning Bayes correctly.
>
> Check your BAYES_xx hits for spam and ham.
in MySQL from bayes_vars?:
Thanks
Jose Luis
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