docker学习笔记2 -- 资源限制
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压测工具stress：
- 下载：
- 编译安装：
- 解压 & configure & make
测试CPU
宿主机：CPU 3CORE
场景一：不做限制
-
宿主机启动镜像，不指定绑定到哪个核
docker run --rm -ti -v /tmp/stress/:/tmp centos7.2 /bin/bash
-
进入宿主机执行stress：
/tmp/stress -c 3
3.观察宿主机CPU使用情况：
top：
top - 09:43:48 up 34 days, 28 min, 2 users, load average: 2.74, 1.89, 1.02
Tasks: 208 total, 5 running, 203 sleeping, 0 stopped, 0 zombie
%Cpu0 :100.0 us, 0.0 sy, 0.0 ni, 0.0 id, 0.0 wa, 0.0 hi, 0.0 si, 0.0 st
%Cpu1 :100.0 us, 0.0 sy, 0.0 ni, 0.0 id, 0.0 wa, 0.0 hi, 0.0 si, 0.0 st
%Cpu2 :100.0 us, 0.0 sy, 0.0 ni, 0.0 id, 0.0 wa, 0.0 hi, 0.0 si, 0.0 st
%Cpu3 : 2.0 us, 1.0 sy, 0.0 ni, 96.7 id, 0.0 wa, 0.0 hi, 0.0 si, 0.3 st
观察到4个core中的3个core已经被占满了
场景二：测试--cpuset-cpus
-
宿主机启动镜像，通过--cpuset-cpus指定绑定到CPU1
docker run --rm -ti -v /tmp/stress/:/tmp --cpuset-cpus=1 centos7.2 /bin/bash
-
进入宿主机执行stress：
./tmp/stress -c 3
3.观察宿主机CPU使用情况：
top - 09:45:04 up 34 days, 29 min, 2 users, load average: 2.45, 2.02, 1.14 Tasks: 207 total, 4 running, 203 sleeping, 0 stopped, 0 zombie %Cpu0 : 0.3 us, 0.3 sy, 0.0 ni, 99.0 id, 0.0 wa, 0.0 hi, 0.0 si, 0.3 st %Cpu1 :100.0 us, 0.0 sy, 0.0 ni, 0.0 id, 0.0 wa, 0.0 hi, 0.0 si, 0.0 st %Cpu2 : 0.7 us, 0.3 sy, 0.0 ni, 98.7 id, 0.0 wa, 0.0 hi, 0.0 si, 0.3 st %Cpu3 : 0.7 us, 0.3 sy, 0.0 ni, 99.0 id, 0.0 wa, 0.0 hi, 0.0 si, 0.0 st
观察到只有core1被占满，其余CPU都出空闲状态
场景三：测试--cpu-shares
-
宿主机启动容器test1，通过--cpuset-cpus指定绑定到CPU1，--cpu-shares设置权重为1024
docker run --rm -ti -v /tmp/stress/:/tmp --cpuset-cpus=1 --cpu-shares 1024 --name test1 centos7.2 /bin/bash /tmp/stress -c 1 # 启动后执行
-
宿主机启动容器test2，通过--cpuset-cpus指定绑定到CPU1，--cpu-shares设置权重为512
docker run --rm -ti -v /tmp/stress/:/tmp --cpuset-cpus=1 --cpu-shares 512 --name test2 centos7.2 /bin/bash /tmp/stress -c 1 # 启动后执行
-
宿主机top查看CPU使用率
13745 root 20 0 7256 92 0 R 66.7 0.0 0:40.38 stress 14117 root 20 0 7256 92 0 R 33.3 0.0 0:04.01 stress
发现其中一个进程cpu占了三分之一，另一个占用三分之二
测试内存
宿主机内存16G
场景一 测试-m --memory
-
宿主机启动test1，通过-m绑定使用内存为100MB docker run --rm -ti -v /tmp/stress/:/tmp --memory 100m --name test1 centos7.2 /bin/bash docker容器使用stress测试内存 [[email protected] /]# /tmp/stress --vm 1 --vm-bytes 90M --vm-hang 0 stress: info: [18] dispatching hogs: 0 cpu, 0 io, 1 vm, 0 hdd ^C [[email protected] /]# /tmp/stress --vm 1 --vm-bytes 99M --vm-hang 0 stress: info: [20] dispatching hogs: 0 cpu, 0 io, 1 vm, 0 hdd ^C [[email protected] /]# /tmp/stress --vm 1 --vm-bytes 100M --vm-hang 0 stress: info: [22] dispatching hogs: 0 cpu, 0 io, 1 vm, 0 hdd stress: FAIL: [22] (415) <-- worker 23 got signal 9 stress: WARN: [22] (417) now reaping child worker processes stress: FAIL: [22] (451) failed run completed in 0s [[email protected] /]# /tmp/stress --vm 1 --vm-bytes 110M --vm-hang 0 stress: info: [24] dispatching hogs: 0 cpu, 0 io, 1 vm, 0 hdd stress: FAIL: [24] (415) <-- worker 25 got signal 9 stress: WARN: [24] (417) now reaping child worker processes stress: FAIL: [24] (451) failed run completed in 0s
发现当容器内使用内存超过-m内存限制时直接被kill
场景二：测试--momory 和 --memory-swap
-
宿主机启动test1，通过-m绑定使用内存为100MB
docker run --rm -ti -v /tmp/stress/:/tmp --memory 100m --memory-swap 150m --name test1 centos7.2 /bin/bash
-
docker容器使用stress测试内存
[[email protected] /]# /tmp/stress --vm 1 --vm-bytes 90M --vm-hang 0 stress: info: [18] dispatching hogs: 0 cpu, 0 io, 1 vm, 0 hdd ^C [[email protected] /]# /tmp/stress --vm 1 --vm-bytes 99M --vm-hang 0 stress: info: [20] dispatching hogs: 0 cpu, 0 io, 1 vm, 0 hdd ^C [[email protected] /]# /tmp/stress --vm 1 --vm-bytes 100M --vm-hang 0 stress: info: [22] dispatching hogs: 0 cpu, 0 io, 1 vm, 0 hdd stress: FAIL: [22] (415) <-- worker 23 got signal 9 stress: WARN: [22] (417) now reaping child worker processes stress: FAIL: [22] (451) failed run completed in 0s [[email protected] /]# /tmp/stress --vm 1 --vm-bytes 110M --vm-hang 0 stress: info: [24] dispatching hogs: 0 cpu, 0 io, 1 vm, 0 hdd stress: FAIL: [24] (415) <-- worker 25 got signal 9 stress: WARN: [24] (417) now reaping child worker processes stress: FAIL: [24] (451) failed run completed in 0s
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