Re: Bayes expiration with Redis backend

2015-02-28 Thread RW
On Fri, 27 Feb 2015 15:45:46 +0100 Matteo Dessalvi wrote: Thanks a lot for the explanation Mark, it was very clear. It would be a good idea considering to add that to the perldoc of the BayesStore/Redis.pm module. It's not particular to Redis, the counts you quoted are simply the total number

Re: Bayes expiration with Redis backend

2015-02-27 Thread Mark Martinec
Matteo Dessalvi wrote: I am using a centralized Redis instance to host the bayesian data for a bunch of MTAs. AFAICS the SA filter is working quite well and the BAYES_* rules are triggered correctly, no false positive so far. But I am concerned about the expiration of the bayesian data.

Re: Bayes expiration with Redis backend

2015-02-27 Thread Matteo Dessalvi
On 27.02.2015 13:54, Axb wrote: Is it possible you reject so much spam tha SA sees very little spam? I believe it's the case. A combination of Postfix policies, blacklists, ClamAV plus additional signatures, etc. greatly reduces the amount of email sent through the filtering pipeline. If

Re: Bayes expiration with Redis backend

2015-02-27 Thread Axb
On 02/27/2015 01:38 PM, Matteo Dessalvi wrote: Hi all. I am using a centralized Redis instance to host the bayesian data for a bunch of MTAs. AFAICS the SA filter is working quite well and the BAYES_* rules are triggered correctly, no false positive so far. But I am concerned about the

Re: Bayes expiration with Redis backend

2015-02-27 Thread Matteo Dessalvi
Thanks a lot for the explanation Mark, it was very clear. It would be a good idea considering to add that to the perldoc of the BayesStore/Redis.pm module. Regards, Matteo On 27.02.2015 14:55, Mark Martinec wrote: When redis automatically expires tokens internally based on their TTL, this

Bayes expiration with Redis backend

2015-02-27 Thread Matteo Dessalvi
Hi all. I am using a centralized Redis instance to host the bayesian data for a bunch of MTAs. AFAICS the SA filter is working quite well and the BAYES_* rules are triggered correctly, no false positive so far. But I am concerned about the expiration of the bayesian data. sa-learn reports the