bayes expire tokens

[Kai Schaetzl]

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Brady Tucker wrote on         Wed, 9 Mar 2005 06:55:50 -0600:

> You may be right in that Julian may not be able to do anything...   However, 
> if the problem is that the expiry process is getting interrupted --- and he 
> can keep MS from trying add to the db or interrupt the expiry process then 
> it would finish properly even if it took an excessive time, right ? 

No. It seems when the timeout is reached the process gets called off. Finito.

>  
> The problem is that I'm not clear on what is stopping the expiry process in 
> the first place...

Ok, if I misinterpret the cause for that stopping my arguments are wrong, 
agreed :-)

> Is SA is timing out because it thinks it's taking to long 

if "it" is "MS", then yes.

> -- or if MS is 'no longer stopping to wait during expiry' because it was 
> taking to long and interrupting a long expiry process.... 

I always interpreted that setting that it means that MS will obey this if a 
rebuild is in progress. F.i. via sa-learn or MS thru the SA lib. However, the 
SA run gets stopped when MS reaches its internal SA timeout. There's no 
separate SA process which could keep running.

>  
> The other solution presented here to set SA to timeout at 120 seconds didn't 
> work for me...

because it was too short!

> In the meantime... Forcing expire 3 times a day from a cron job fixes the 
> problem.

Yes, and if you set the timeout to ten minutes it will work as well (NO, don't 
do it!). However, forcing an expire regularly is much cleaner and preferrable 
in my eyes :-)
That you have to expire three days a time just proves that you have so many 
mail running thru your system that any fewer runs would make it take too long 
for the 120 sec timeout. You might consider upping the token count in your 
bayes dbs as well. Not much sense in slashing half of your db each day.


Kai

-- 
Kai Schätzl, Berlin, Germany
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