Hi all,

Running SA 3.1.0. I have been using the Bayes DB for 8-9 months now. All of a sudden it seems like a lot of Spam is getting through, and training it with the new Spam does not seem to have any effect. There is a quirk in the following output:

>spamassassin -D --lint

[5284] dbg: bayes: not available for scanning, only 0 spam(s) in bayes DB < 200
<snip>
[5284] dbg: bayes: corpus size: nspam = 124095, nham = 262008
[5284] dbg: bayes: DB expiry: tokens in DB: 119251, Expiry max size: 150000, Oldest atime: 1144827345, Newest atime: 1146270059, Last expire: 1144870877, Current time: 1153945397


It doesn't matter how many Spams I have passed through sa-learn, it still just says 0 spam(s) in bayes DB < 200. Yet you can see there are 124095 spam tokens.

Here is the output of sa-learn --dump magic

0.000          0          3          0  non-token data: bayes db version
0.000          0     124095          0  non-token data: nspam
0.000          0     262008          0  non-token data: nham
0.000          0     119251          0  non-token data: ntokens
0.000          0 1144827345          0  non-token data: oldest atime
0.000          0 1146270059          0  non-token data: newest atime
0.000          0 1144876310          0  non-token data: last journal sync atime
0.000          0 1144870877          0  non-token data: last expiry atime
0.000          0      43200          0  non-token data: last expire atime delta
0.000          0     106911          0  non-token data: last expire reduction count


I am not sure if the inconsistency noted above is causing the increase in missed Spam, but it's the only thing I can find.
Any suggestions?

Thanks!

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