Hi everyone.

I use an older version of amavisd (2.3.2) against a postgresql  
database. I have not upgraded it because the database and some code  
was customised (which I inherited). I'm going to start the upgrade  
process in a few weeks so if you are a praying people then pray for  
me. If you are not a praying people then pray for me, and if you dont  
know if you are or not then pray for me and you. :)

Anyway. I've done quite a bit of work recently on our front end filter  
- a custom developed greylist filter which uses data collected by  
amavisd to help decide what to 4XX and what to let through. More  
importantly I've just completed updating that filter to make extensive  
use of memcached (www.danga.com/memcached/) and wow what a difference  
it made to performance.

I now want to look at whether memcached would work well with bayes and  
amavisd. Bayes in particular because I think it is the hardest hitting  
database app and amavisd because I'm about to start the upgrade process.

I'm looking for input on this. Has anyone else looked at using  
memcached in bayes or amavisd ? Is there perhaps a version already  
done ? Does anyone have a view on how effective or perhaps ineffective  
it would be ?

My experience with our prefilter leads me to believe it would have  
huge impact on bayes performance, and with amavisd in the areas of  
lookups for black/white lists, policies etc. My only qualm is really  
amavisd because although the cache is miles faster than the database,  
the records are small and quite likely cached by the system anyway.

thanks
Grant


Grant Maxwell





Grant Maxwell

Ph: 61 2 90293452
Mob: 61 41 9227165
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