Am 13.02.2016 um 15:59 schrieb Marc Perkel:
On 02/13/16 00:42, Reindl Harald wrote:Am 13.02.2016 um 02:56 schrieb Marc Perkel:For what it's worth - just used Redis. Redis is the only thing that's worked reliably for meyou can't use Redis when it comes to different servers in different networks for different clients BDB works fine and relieable, at least without autolearning and autoexpire and having the bayes-db path read-only for the running spamd with namespaces 0 60388 SPAM 0 21651 HAM 0 2510401 TOKEN insgesamt 73M -rw------- 1 sa-milt sa-milt 10M 2016-02-13 09:12 bayes_seen -rw------- 1 sa-milt sa-milt 81M 2016-02-13 09:12 bayes_toksI'm filtering 5000 domains using a single redis server and 4 SA servers
looks like you refused to understand 'different networks'it's fine in your infrastructure but it won't work in the cases we have in real life where another company with independent infrastructure fetchs our bayes in context of a subscription over webservices, move the files in a temp-folder and train own samples before replace the local bayes with the result
reason?2510401 tokens with dump in and dump out is horrible slow when the number of local samples is around 1000 messages versus 820000 messages we have feeded since 2014
or would you open your redis server for 3rd parties on the WAN?
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