> >0.000 0 2 0 non-token data: bayes db version
> >0.000 0 1 0 non-token data: nspam
> >0.000 0 0 0 non-token data: nham
> >0.000 0 116 0 non-token data: ntokens
> > ---snip---
> >
> >Its as if the only updates were from auto-learn. What am I missing?
>
> You have per user bayes databases perhaps ? And you're running sa-learn as
> root, and not the user that spamassassin/spamc is called under. You might
> need to specifiy the location of your bayes database.
>
> I use a global bayes database with the database path/file specified in
> local.cf so no matter what user I call sa-learn as its accessing the same
> database...
Very interesting. I think you are onto something.
I am running spamd in a separate server. I point my .procmailrc at the
spamd server. This way I can test 2.60 without unleashing it on my
users. I do my sa-learn updating via ssh, something like:
scp my_pine_folder spamd_server:
ssh spamd_server /usr/local/bin/sa-learn --ham --mbox .......
ssh and rsh don't always establish the environment properly. Evidence of
this is that if I run my proc by hand, on spamd_server, everything works
fine. If I run it via ssh, it doesn't.
What is odd is that the time stamp on the bayes files is updated, and
rerunning sa-learn clearly indicates that the messages have been learned,
but the counts don't update.
So right now my guess is that something in --rebuild is more path
sensitive than --ham or --spam. I've added an explicit "bayes_path" to my
user_prefs, and I've added a couple of "sa-learn --dump magic" statements
to my proc. We'll see where it goes.
--
Jack Gostl [EMAIL PROTECTED]
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