On Dec 10, 2007 1:36 AM, JLIST <[EMAIL PROTECTED]> wrote:
>
> Sure. Here you go (I removed the user column) -
>
> top - 01:32:11 up 12 days, 11:58, 1 user, load average: 0.00, 0.01, 0.00
> Tasks: 44 total, 1 running, 43 sleeping, 0 stopped, 0 zombie
> Cpu(s): 0.0% us, 0.0% sy, 0.0% ni, 100.0% id, 0.0% wa, 0.0% hi, 0.0% si
> Mem: 1548000k total, 723556k used, 824444k free, 0k buffers
> Swap: 0k total, 0k used, 0k free, 0k cached
>
> PID PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND
> 19581 16 0 10760 7636 1796 S 0 0.5 0:12.13 squid
> 22383 16 0 70724 6932 2380 S 0 0.4 0:02.20 python
> 22385 16 0 70720 6856 2356 S 0 0.4 0:01.67 python
> 22367 16 0 60472 6764 2340 S 0 0.4 0:01.39 python
> 22369 16 0 60472 6764 2340 S 0 0.4 0:01.68 python
> 22373 16 0 60472 6764 2340 S 0 0.4 0:01.68 python
> 22375 16 0 60472 6764 2340 S 0 0.4 0:01.67 python
> 22371 16 0 60464 6760 2340 S 0 0.4 0:01.79 python
> 22377 16 0 60464 6760 2340 S 0 0.4 0:01.38 python
> 22380 16 0 60464 6760 2340 S 0 0.4 0:01.64 python
> 22384 16 0 60464 6760 2340 S 0 0.4 0:01.62 python
> 22364 16 0 60580 6496 2380 S 0 0.4 0:01.47 python
> 22365 16 0 60588 6496 2380 S 0 0.4 0:01.73 python
> 10022 15 0 6908 2380 1792 S 0 0.2 0:00.02 sshd
> 10008 15 0 6908 2332 1756 S 0 0.2 0:00.01 sshd
> 29919 16 0 7392 2016 980 S 0 0.1 0:21.87 sendmail
> 29928 16 0 6496 1632 820 S 0 0.1 0:00.01 sendmail
> 22363 16 0 4056 1408 772 S 0 0.1 0:00.69 lighttpd
This is completely normal. Python is using a total of about 28 MB of
RAM here for all 12 processes. The "used" value at the top of the
output does not mean "total amount of resident memory of all
programs". It means "total amount of physical memory used for
*something*". That "something" includes buffers and cache. For
example, the kernel will use any free physical RAM to cache recently
read files. This is a wonderful thing, since the RAM was just sitting
there doing nothing anyway. But it means that the "used" value in top
is effectively meaningless. You can see the actual amount of memory
being used with the "free" command:
[EMAIL PROTECTED] ~]$ free
total used free shared buffers cached
Mem: 1035728 600544 435184 0 94124 235716
-/+ buffers/cache: 270704 765024
Swap: 2096472 14680 2081792
When I run top, it says "600656k used". But free shows me that, when
buffers and cache are excluded, there's really only 270704k used.
Seriously, there's nothing wrong with Linux's memory management and
Python is using a perfectly reasonable amount of memory. Are you
having some performance problem that prompted this interest in memory
usage? Maybe we can talk about that instead. ;)
--
Gary
http://blog.extracheese.org
--~--~---------~--~----~------------~-------~--~----~
You received this message because you are subscribed to the Google Groups
"web.py" group.
To post to this group, send email to [email protected]
To unsubscribe from this group, send email to [EMAIL PROTECTED]
For more options, visit this group at http://groups.google.com/group/webpy?hl=en
-~----------~----~----~----~------~----~------~--~---
