On 03/12/15 00:29, Charles Sprickman wrote:
Reindl Harald <h.rei...@thelounge.net> wrote:
Am 02.12.2015 um 21:50 schrieb Charles Sprickman:
Reindl Harald <h.rei...@thelounge.net> wrote:
Am 02.12.2015 um 12:51 schrieb Sebastian Arcus:
I hope I'm not exceeding the patience of the list by posting a third
question in two days :-)
I realise the above question is a "soft" question, probably without a
definite "yes" or "no" answer. I am hoping that people with experience
of using SA in various environments might be able to throw in some
opinions. Based on the documentation, it is clearly possible to transfer
a bayes database from one install to another - specially if it is a
sitewide database. What I was wondering is if it is worth doing so from
a results point of view
we use our global bayes on the incoming MX and share it with our submission
servers to stop outgoing spam from hacked accounts
This is a bit OT, but I have had a hard time finding how to setup a global
bayes DB rather than having everything done on a per-user basis. Looking
around the SA wiki, I don’t see global DBs addressed. Any tips?
https://wiki.apache.org/spamassassin/SiteWideBayesSetup
in case you are runnign spamass-milter that's even the logical default because
your milter is running as it's own user, with it's own .spamassassin directory
in the userhome which contains the db
I had a look at that page - I use mysql to store the data, have multiple spamd
boxes, and spamc on the inbound servers passing mail to spamd once all the
“front door” checks are done. In that config, I end up with unique per-user
bayes tokens. I’m looking to just pool everyone together, but don’t see an
obvious way to do that. It seems like folks in this thread are however doing
that somehow (perhaps just because they are using a milter or similar).
In case in helps: I use SA with exim - and Exim talks over Unix sockets
to spamd daemon. I've used the instructions at the wiki page above to
setup the sitewide bayes database - but I don't use MySQL - and it all
seems to work as expected.
