There are a lot of sa-learn processes active slowing down the server until it becomes unresponsive. How can I fix this?

When using top you see sa-learn processes causing high load on the server. This is usually caused when spamassassin or dovecot have problems. This will cause the real-time spam learning sieve filter to loop when it tries to call sa-learn to train a message.

1. Stop the dovecot service:

systemctl stop dovecot

2. Kill any active sa-learn processes (this should bring the server load level back down to normal):

pkill -f sa-learn

3. Note: After you have completed any of the solutions below remember to restart the dovecot service:

systemctl start dovecot

SpamAssassin Problems

You can check that your SpamAssassin config has no errors using the command (It should not return any errors):

spamassassin --lint

Dovecot Problems

This error can also be caused by mailbox dovecot.index.cache files being over the default 512MB limit set by Warden. You can raise the limit vsz_limit as per the KB article:

https://www.danami.com/clients/knowledgebase/193/When-logging-into-webmail-you-are-unable-to-read-email.-How-can-I-fix-the-error-Out-of-memory-service-imap--vsz_limitequals512-MB--you-may-need-to-increase-it-in-the-maillog.html

If you are still having problems after trying both solutions above you can try the options below:

Options To Reduce CPU Usage

Option to use Redis as the Storage Backend

Warden supports using Redis as the Bayes storage engine instead of MySQL (this should speed up sa-learn). This can be found under Warden -> Settings -> Learning Settings -> Storage Settings. Detailed instructions for how to to switch to Redis can be found here.

Option To disable the Real-time Learning

You have the option of disabling the real-time learning under Warden -> Settings -> Learning Settings -> Sieve learning -> uncheck Use IMAP sieve learning and save the page. When the real-time learning is disabled in Warden the system will fall back to the Plesk nightly training task and auto-learning instead. Disabling the real-time learning will have minimal impact on spam training.

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