Re: virtual memory management

On Sat, Jan 20, 2007 at 03:51:38AM -0500, Kris Kennaway wrote:
On Sat, Jan 20, 2007 at 09:13:48AM +0100, Zbigniew Szalbot wrote:
Hello again,

The swap size usage grow so big probably because I started wget to
download an iso image and then WinSCP to grab it from the FBSD machine
to my laptop. When I started wget, the swap usage was around 19% and
had been like that for many days.

That should not cause such a thing (wget does not try to fit the whole
file in memory, so it won't be pushing stuff out to swap). Look at the
process sizes in top to see what is using the swap space - something(s)
that is still running is using that 482MB.

I do not see such a process:

PID USERNAME THR PRI NICE SIZE RES STATE TIME WCPU COMMAND
21442 root 2 20 0 224M 26128K kserel 0:06 0.00% java
896 mysql 16 20 0 70756K 14764K kserel 255:35 0.00% mysqld
98693 bind 1 96 0 32812K 32172K select 0:22 0.00% dnscache
5035 www 1 4 0 28372K 15660K accept 5:05 1.86% httpd
5026 www 1 4 0 28240K 15104K accept 4:46 0.00% httpd
5065 www 1 4 0 28128K 15196K accept 4:29 0.00% httpd
5030 www 1 4 0 27892K 15144K accept 4:21 0.00% httpd
5126 www 1 4 0 27784K 14864K accept 4:20 0.00% httpd
5029 www 1 4 0 27760K 14644K accept 4:22 0.00% httpd
5027 www 1 4 0 27740K 15140K accept 4:30 0.00% httpd
5028 www 1 4 0 27516K 14812K accept 4:03 0.00% httpd
95977 www 1 4 0 27216K 14532K accept 2:21 0.00% httpd
703 root 1 96 0 16412K 2296K select 4:35 0.00% httpd
91014 mailman 1 8 0 11492K 1600K nanslp 6:00 0.00% python
91012 mailman 1 8 0 11024K 1560K nanslp 5:32 0.00% python
91010 mailman 1 8 0 11008K 1568K nanslp 5:23 0.00% python
91009 mailman 1 8 0 11008K 1552K nanslp 5:20 0.00% python

I see lots of them; every one in that list is contributinig. If you
add up all those process sizes you'll see where the space is going.

By which I mean the difference between size and res, which indicates
the amount of process memory allocated but not currently resident in
RAM. This isn't a foolproof method (see e.g. the FAQ entry on
rpc.statd), but it's true in your case.

Basically you are just overloading your system by trying to run too
much at once. Reduce the load or add more RAM.

Kris


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