hi there!


when running sa-learn --force-expire -D I get the following output:



synced Bayes databases from journal in 45 seconds: 48942 unique entries (85654

total entries)

debug: bayes: expiry check keep size, 75% of max: 112500

debug: bayes: token count: 1215351, final goal reduction size: 1102851

debug: bayes: First pass?  Current: 1075207756, Last: 1075200858, atime: 0,

count: 0, newdelta: 0, ratio: 0

debug: bayes: Can't use estimation method for expiry, something fishy,

calculating optimal atime delta (first pass)

debug: bayes: atime     token reduction

debug: bayes: ========  ===============

debug: bayes: 43200     1215275

debug: bayes: 86400     1215275

debug: bayes: 172800    1215275

debug: bayes: 345600    1215275

debug: bayes: 691200    1215275

debug: bayes: 1382400   1215275

debug: bayes: 2764800   1215275

debug: bayes: 5529600   1215275

debug: bayes: 11059200  1215275

debug: bayes: 22118400  1215275

debug: bayes: couldn't find a good delta atime, need more token difference,

skipping expire.

debug: Syncing complete.



so expiring never occurs, and the db grows bigger and bigger.

what is the problem here?



sa-learn --dump magic says the following:

0.000          0          2          0  non-token data: bayes db version

0.000          0      20435          0  non-token data: nspam

0.000          0      28821          0  non-token data: nham

0.000          0    1216441          0  non-token data: ntokens

0.000          0  787695840          0  non-token data: oldest atime

0.000          0 1927179982          0  non-token data: newest atime

0.000          0 1075207820          0  non-token data: last journal sync atime

0.000          0 1075207819          0  non-token data: last expiry atime

0.000          0          0          0  non-token data: last expire atime delta

0.000          0          0          0  non-token data: last expire reduction 

count



any hints?



thx in advance

/tom



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