Welcome to OStack Knowledge Sharing Community for programmer and developer-Open, Learning and Share
Welcome To Ask or Share your Answers For Others

Categories

0 votes
888 views
in Technique[技术] by (71.8m points)

ubuntu - Limit memory on a Docker container doesn't work

I am running the last version of Docker on top of Ubuntu 13.04 (Raring Ringtail):

root@docker:~# docker version
Client version: 0.6.6
Go version (client): go1.2rc3
Git commit (client): 6d42040
Server version: 0.6.6
Git commit (server): 6d42040
Go version (server): go1.2rc3
Last stable version: 0.6.6

But when I start the container,

root@docker:~# docker run -m=1524288 -i  -t ubuntu /bin/bash
root@7b09f638871a:/# free -m
             total       used       free     shared    buffers     cached
Mem:          1992        608       1383          0         30        341
-/+ buffers/cache:        237       1755
Swap:         2047          0       2047

I don't see any limiting from any kind, and my kernel has the cgroups memory limit enabled:

kernel /boot/vmlinuz-3.8.0-33-generic ro console=tty0 root=/dev/xvda1 cgroup_enable=memory swapaccount=1

What obvious thing am I missing here?

See Question&Answers more detail:os

与恶龙缠斗过久,自身亦成为恶龙;凝视深渊过久,深渊将回以凝视…
Welcome To Ask or Share your Answers For Others

1 Answer

0 votes
by (71.8m points)

free won't show it as this is enforced via cgroups. Instead on the host (outside the container) you can check using /sysfs and the cgroup memory:

vagrant@precise64:~$ docker run -m=524288 -d  -t busybox sleep 3600
f03a017b174f
vagrant@precise64:~$ cat /sys/fs/cgroup/memory/lxc/f03a017b174ff1022e0f46bc1b307658c2d96ffef1dd97e7c1929a4ca61ab80f//memory.limit_in_bytes
524288

To see it run out of memory, you can run something that will use more memory than you allocate - for example:

docker run -m=524288 -d -p 8000:8000 -t ubuntu:12.10  /usr/bin/python3 -m http.server
8480df1d2d5d
vagrant@precise64:~$ docker ps | grep 0f742445f839
vagrant@precise64:~$ docker ps -a | grep 0f742445f839
0f742445f839        ubuntu:12.10        /usr/bin/python3 -m    16 seconds ago       Exit 137                                blue_pig

In dmesg you should see the container and process killed:

[  583.447974] Pid: 1954, comm: python3 Tainted: GF          O 3.8.0-33-generic #48~precise1-Ubuntu
[  583.447980] Call Trace:
[  583.447998]  [<ffffffff816df13a>] dump_header+0x83/0xbb
[  583.448108]  [<ffffffff816df1c7>] oom_kill_process.part.6+0x55/0x2cf
[  583.448124]  [<ffffffff81067265>] ? has_ns_capability_noaudit+0x15/0x20
[  583.448137]  [<ffffffff81191cc1>] ? mem_cgroup_iter+0x1b1/0x200
[  583.448150]  [<ffffffff8113893d>] oom_kill_process+0x4d/0x50
[  583.448171]  [<ffffffff816e1cf5>] mem_cgroup_out_of_memory+0x1f6/0x241
[  583.448187]  [<ffffffff816e1e7f>] mem_cgroup_handle_oom+0x13f/0x24a
[  583.448200]  [<ffffffff8119000d>] ? mem_cgroup_margin+0xad/0xb0
[  583.448212]  [<ffffffff811949d0>] ? mem_cgroup_charge_common+0xa0/0xa0
[  583.448224]  [<ffffffff81193ff3>] mem_cgroup_do_charge+0x143/0x170
[  583.448236]  [<ffffffff81194125>] __mem_cgroup_try_charge+0x105/0x350
[  583.448249]  [<ffffffff81194987>] mem_cgroup_charge_common+0x57/0xa0
[  583.448261]  [<ffffffff8119517a>] mem_cgroup_newpage_charge+0x2a/0x30
[  583.448275]  [<ffffffff8115b4d3>] do_anonymous_page.isra.35+0xa3/0x2f0
[  583.448288]  [<ffffffff8115f759>] handle_pte_fault+0x209/0x230
[  583.448301]  [<ffffffff81160bb0>] handle_mm_fault+0x2a0/0x3e0
[  583.448320]  [<ffffffff816f844f>] __do_page_fault+0x1af/0x560
[  583.448341]  [<ffffffffa02b0a80>] ? vfsub_read_u+0x30/0x40 [aufs]
[  583.448358]  [<ffffffffa02ba3a7>] ? aufs_read+0x107/0x140 [aufs]
[  583.448371]  [<ffffffff8119bb50>] ? vfs_read+0xb0/0x180
[  583.448384]  [<ffffffff816f880e>] do_page_fault+0xe/0x10
[  583.448396]  [<ffffffff816f4bd8>] page_fault+0x28/0x30
[  583.448405] Task in /lxc/0f742445f8397ee7928c56bcd5c05ac29dcc6747c6d1c3bdda80d8e688fae949 killed as a result of limit of /lxc/0f742445f8397ee7928c56bcd5c05ac29dcc6747c6d1c3bdda80d8e688fae949
[  583.448412] memory: usage 416kB, limit 512kB, failcnt 342

与恶龙缠斗过久,自身亦成为恶龙;凝视深渊过久,深渊将回以凝视…
Welcome to OStack Knowledge Sharing Community for programmer and developer-Open, Learning and Share
Click Here to Ask a Question

...