![]() I figure I’ll have to restart Mail by Friday, when the new message count should be well into the 1000s. Time Memory Private Memory “New Messages” count in Downloading message Watching more closely for a bit, I see that while the memory use trends steadily upward, it’s more of a sawtooth pattern.Īs for memory consumption, here is a brief log for the past 18 hours or so: I erred in saying “monotonically increasing”. TL DR - Real Private Memory increases along with total memory. Typically, though, I restart Mail prophylactically at about 750MB and all is good. Sometimes the entire machine is affected (requiring a reboot). What I’ve seen in the past is that when Mail’s memory use approaches 1GB, Mail becomes unstable in various ways. This becomes a maintenance consideration, and I travel quite a bit (often off the grid), making regular maintenance restarts tricky.ĭo you see any particular bad effects when it gets to 1 GB? Does the Real Private Memory (you may need to tell it to show that column) also increase like that? ![]() Frankly, I wouldn’t much care except for the apparent memory-leak issue. Mail and SpamSieve are operating as expected EXCEPT for the persistent “downloading messages” message.Īny additional thoughts / suggestions much appreciated. Re-started Mail (went fine) then re-added that account (went fine). The rebuild went fine after I deleted what turned out to be a problematic account (it’s “Spam” folder was apparently a mess, causing Mail to think that there were ~450,000 messages in there - there weren’t). ![]() No change to the “downloading messages” behavior. Okay, I sucked it up and re-built Mail’s databases from scratch. If the rebuild succeeds, you could then re-import them later. Another idea would be to export some of the mailboxes and then delete them from Mail, so that there’s less to rebuild. And after just a couple of days of use, it’s nearly transparent to the user.Sounds good. (To work with the program’s address lists and rules or its corpus-the collection of words the Bayesian filter uses to identify spam-you will need to switch to the SpamSieve application.) SpamSieve is easily trained, and if you want to go beyond the basics and configure your own filters or edit your black- and whitelists, it allows you to do so without a lot of bother. I like the fact that SpamSieve mostly works within my e-mail client so I rarely need to muck with a separate application or risk losing e-mail in transit between a spam utility and my e-mail software. It also supports both POP and IMAP e-mail accounts. SpamSieve 2.9.31 Robust spam filter for major email clients. If you’ve got a few hundred spam and good messages archived in your e-mail client, this helps SpamSieve become acceptably accurate within a matter of minutes rather than the days it can take to train other programs. Unlike other spam utilities I’ve used, SpamSieve lets you train it with groups of selected spam and good e-mail. SpamSieve looks for this header entry and gives messages that include it favorable treatment. Members of the Habeas Safelist can then embed their membership in the headers of e-mail messages they send. This is a service that requires members to pass a rigorous audit of “best practices” to ensure that their services aren’t used for spamming. SpamSieve employs a form of Bayesian filtering and can use the Habeas Safelist. You can add, subtract, and edit entries in these lists as well as create rules within them. ![]() Entries in your Mail, Eudora, or Entourage address book are automatically entered in the whitelist, as are the contacts for mail you accept. It has a blacklist (called a blocklist in the program) as well as a whitelist-mark a message as spam and the sender is sent to the blocklist. Like other spam utilities, SpamSieve uses a variety of techniques for sorting the good mail from bad. ![]()
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