[Rspamd-Users] Please help: rspamd_redis_processed: got invalid reply from redis: error, array expected

[Seibel Andreas]

Hello,

from time to time (about once a month) we have the following problem: in rspamd.log the lines appear for every email:

2020-08-05 16:09:29 #873(normal) <3344ec>; task; rspamd_redis_processed: got invalid reply from redis: error, array expected
2020-08-05 16:09:29 #873(normal) <3344ec>; task; rspamd_redis_processed: got invalid reply from redis: error, array expected
2020-08-05 16:09:29 #873(normal) <3344ec>; task; rspamd_stat_classifiers_process: skip statistics as SPAM class is missing

Learning and evaluating Bayes no longer works.

I can fix it by stopping redis, deleting the corresponding ".rdb" file and starting redis again. But then of course the data is gone and Bayes has to learn again.
We have a separate redis instance for Bayes. Our "local.d/statistics.conf" looks like this

------------------------------------------------------------------------------------------------------
classifier "bayes" {
  tokenizer {
    name = "osb";
  }
  cache {
  }
  new_schema = true; # Always use new schema
  store_tokens = false; # Redefine if storing of tokens is desired
  signatures = false; # Store learn signatures
  #per_user = true; # Enable per user classifier
  min_tokens = 11;
  backend = "redis";
  min_learns = 200;

  servers = "localhost:6378";

  statfile {
    symbol = "BAYES_HAM";
    spam = false;
  }
  statfile {
    symbol = "BAYES_SPAM";
    spam = true;
  }
#  learn_condition = 'return require("lua_bayes_learn").can_learn';

  # Autolearn sample
  autolearn {
    spam_threshold = 6.0; # When to learn spam (score >= threshold)
    ham_threshold = -0.5; # When to learn ham (score <= threshold)
    check_balance = true; # Check spam and ham balance
    min_balance = 0.9; # Keep diff for spam/ham learns for at least this value
  }

}
------------------------------------------------------------------------------------------------------

Does anyone have any idea what's going wrong?

Thanks a lot in advance.

Regards, Andreas.
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