[Rspamd-Users] Bayes and Redis on multiple mx servers

[Sandy Drobic]

Hello,

I have rspamd with redis as backend on several servers in our company. During
testing I discovered that the trained bayes db was only used on mails on the
primary server, although the redis replication does replicate the bayes db to
the other servers.

local.d/classifier.conf:

backend = "redis";

read_servers = "localhost:6376, mx-srv1.example.com:6376";
write_servers = "mx-srv1.example.com:6376";

new_schema = true;
expire = 86400000;  # 1000 days
autolearn = [-1, 12]
min_learns = 200;

The "rspamc stat" shows that bayes was properly replicated.

[root at mx-srv1 tmp]# rspamc stat
Results for command: stat (2.000 seconds)
Messages scanned: 443
Messages with action reject: 10, 2.25%
Messages with action soft reject: 0, 0.00%
Messages with action rewrite subject: 37, 8.35%
Messages with action add header: 4, 0.90%
Messages with action greylist: 7, 1.58%
Messages with action no action: 385, 86.90%
Messages treated as spam: 51, 11.51%
Messages treated as ham: 392, 88.48%
Messages learned: 419
Connections count: 0
Control connections count: 95
Pools allocated: 170
Pools freed: 143
Bytes allocated: 26.72MiB
Memory chunks allocated: 140
Shared chunks allocated: 16
Chunks freed: 0
Oversized chunks: 1
Statfile: BAYES_SPAM type: redis; length: 0; free blocks: 0; total blocks: 0;
free: 0.00%; learned: 216; users: 1; languages: 0
Statfile: BAYES_HAM type: redis; length: 0; free blocks: 0; total blocks: 0;
free: 0.00%; learned: 202; users: 1; languages: 0
Total learns: 418

[root at mx-ext ~]# rspamc stat
Results for command: stat (2.001 seconds)
Messages scanned: 16
Messages with action reject: 0, 0.00%
Messages with action soft reject: 0, 0.00%
Messages with action rewrite subject: 7, 43.75%
Messages with action add header: 0, 0.00%
Messages with action greylist: 2, 12.50%
Messages with action no action: 7, 43.75%
Messages treated as spam: 7, 43.75%
Messages treated as ham: 9, 56.25%
Messages learned: 0
Connections count: 0
Control connections count: 46
Pools allocated: 93
Pools freed: 67
Bytes allocated: 26.72MiB
Memory chunks allocated: 142
Shared chunks allocated: 16
Chunks freed: 0
Oversized chunks: 1
Statfile: BAYES_SPAM type: redis; length: 0; free blocks: 0; total blocks: 0;
free: 0.00%; learned: 216; users: 1; languages: 0
Statfile: BAYES_HAM type: redis; length: 0; free blocks: 0; total blocks: 0;
free: 0.00%; learned: 202; users: 1; languages: 0
Total learns: 418

Or is Bayes only used when the number of scanned mails exceeds the min_learns
on the local host regardless of the number of learned in BAYES_SPAM and BAYES_HAM?
Is there a workaround to tell the other servers to use bayes?

Greetings
Sandy Drobic