Hi,
> > With that many mails I'd also suggest looking into using an SQL
> > backend for bayes. This will reduce your risk of running into
> > bdb problems (for some people it works fine, I usually have LOTS
> > of problems with bdb) such as file corruption, running out
> of lockers,
> > safe backups etc.
>
> The 'running out of lockers' usually means child processes
My problem is more due to bayes databases getting inconsistent.
I've seen the following situation recur on some machines, I've
currently no idea how this is happening:
[EMAIL PROTECTED]:~$ db4.2_verify bayes_toks_broken.orig
db_verify: Page 626: hash page has bad prev_pgno
db_verify: DB->verify: bayes_toks_broken.orig: DB_VERIFY_BAD:
Database verification failed
Always the same error, always the same database. Across several
machines with identical hardware and software setup. The only programs
touching the database are SA though amavis and sa-learn. So things
should be safe...
I haven't figured out how to get db_recover to even consider touching
it, so I added a routine to the amavis start script that does a
db_verify and reinitializes the bayes databasesif they are broken.
> The advice of switching Bayes to SQL is heartly recommended.
> It adds a little to performance, and eliminates the problems
> of auto-expiry because this operaton is significantly faster
> with Bayes db on SQL.
Plus, it's easier to train on one machine and replicate to others.
Plus plus, it makes adding DSPAM later on a lot more painless :).
Regs,
Sven
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