Hi, Then the data needs to be shared among all the boxes that need the data (i.e. MTAs and web servers). I don't have any experience with that, but other users might be able to tell you more. The list archives also have some discussions on this, I think.
Tom On 06/08/2014 03:34 PM, FABIO FERRARI wrote: > Yes, we absolutely need the web interface. > > What happens in this case? > > Fabio Ferrari > > > Hi, > > If you use an sql server as backend including storing user > preferences, the files that are in /var/spool/dspam are only relevant > for the dspam web interface. If you're not using that, the data is > rather useless. > > Not using the web interface also means not using quarantine. The 4 MXs > could reject spam at SMTP-time, or tag spam messages (headers or > subject) so the main server can put them in a junk folder. > > This way a master sql server should be no issue. I don't have any > experience with workload for the sql server when you have the volume > that is implied by needing 4 frontend machines. You might need > multiple sql instances in replication mode. > > Tom > > On 06-06-14 12:26, FABIO FERRARI wrote: >>>> Hello, >>>> >>>> I need to install an antispam on a multiple mx mail system. >>>> >>>> I mean, incoming emails are received from 4 MX and then forwarded >>>> to the mail system. Actually we have a spam system (sophos) on >>>> these 4 MX, with a centralized DB and a centralized web interface. >>>> We want to replace this system with dspam. >>>> >>>> So, the question is: is it possible to have a single DB where the >>>> 4 machines connect to store the spam data? For example installing >>>> mysql or postgres on a separate, additional machine? >>>> >>>> I see that, even if I configure dspam with mysql or postgres, dspam >>>> stores some data in files anyway (in /var/spool/dspam/data/). Is it >>>> correct or am I missing something? If I am correct with this >>>> configuration, can I put this directory in a shared nfs directory >>>> for example? Will this work? >>>> >>>> Has someone any experience in doing this? >>>> >>>> thanks in advance >>>> >>>> Fabio Ferrari >>>> >>>> >>>> ------------------------------------------------------------------------------ >>>> >>>> > Learn Graph Databases - Download FREE O'Reilly Book >>>> "Graph Databases" is the definitive new guide to graph databases >>>> and their applications. Written by three acclaimed leaders in the >>>> field, this first edition is now available. Download your free book >>>> today! http://p.sf.net/sfu/NeoTech >>>> _______________________________________________ Dspam-user mailing >>>> list Dspam-user@lists.sourceforge.net >>>> https://lists.sourceforge.net/lists/listinfo/dspam-user >>>> > >> >> ------------------------------------------------------------------------------ >> Learn Graph Databases - Download FREE O'Reilly Book >> "Graph Databases" is the definitive new guide to graph databases and their >> applications. Written by three acclaimed leaders in the field, >> this first edition is now available. Download your free book today! >> http://p.sf.net/sfu/NeoTech >> _______________________________________________ >> Dspam-user mailing list >> Dspam-user@lists.sourceforge.net >> https://lists.sourceforge.net/lists/listinfo/dspam-user >> > > > > ------------------------------------------------------------------------------ > Learn Graph Databases - Download FREE O'Reilly Book > "Graph Databases" is the definitive new guide to graph databases and their > applications. Written by three acclaimed leaders in the field, > this first edition is now available. Download your free book today! > http://p.sf.net/sfu/NeoTech > _______________________________________________ > Dspam-user mailing list > Dspam-user@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/dspam-user >
signature.asc
Description: OpenPGP digital signature
------------------------------------------------------------------------------ HPCC Systems Open Source Big Data Platform from LexisNexis Risk Solutions Find What Matters Most in Your Big Data with HPCC Systems Open Source. Fast. Scalable. Simple. Ideal for Dirty Data. Leverages Graph Analysis for Fast Processing & Easy Data Exploration http://p.sf.net/sfu/hpccsystems
_______________________________________________ Dspam-user mailing list Dspam-user@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/dspam-user
