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  • docker-container 操作

    1、把container放后台运行

    [root@localhost dockerfile3]# docker run bigni/python_flask #默认运行image,container里运行的app会放在前台,如果可控制台关闭,则程序也会关闭
     * Serving Flask app "app" (lazy loading)
     * Environment: production
       WARNING: This is a development server. Do not use it in a production deployment.
       Use a production WSGI server instead.
     * Debug mode: off
     * Running on http://127.0.0.1:5000/ (Press CTRL+C to quit)
    
    
    ^[[A^[[A^C[root@localhost dockerfile3]# docker ps
    CONTAINER ID        IMAGE               COMMAND             CREATED             STATUS              PORTS               NAMES
    [root@localhost dockerfile3]# docker run -d  bigni/python_flask  #加个d 参数,则会放后台运行
    0ff6994da726c86037c5d7cd0eb3ba89c339cdabac5c7df92e112d9c4c417d61
    [root@localhost dockerfile3]# 
    [root@localhost dockerfile3]# docker ps
    CONTAINER ID        IMAGE                COMMAND             CREATED             STATUS              PORTS               NAMES
    0ff6994da726        bigni/python_flask   "python app.py"     4 seconds ago       Up 4 seconds        5000/tcp            relaxed_banzai
    [root@localhost dockerfile3]#

    2、如何进入正在运行的container里

    [root@localhost dockerfile3]# docker ps
    CONTAINER ID        IMAGE                COMMAND             CREATED             STATUS              PORTS               NAMES
    0ff6994da726        bigni/python_flask   "python app.py"     4 seconds ago       Up 4 seconds        5000/tcp            relaxed_banzai
    [root@localhost dockerfile3]# 
    [root@localhost dockerfile3]# 
    [root@localhost dockerfile3]# 
    [root@localhost dockerfile3]# docker exec -it 0ff6994da726 /bin/bash #使用exec 加上-it要进入交互界面, /bin/bash表示要运行的命令
    root@0ff6994da726:/app# ls
    app.py
    root@0ff6994da726:/app# pwd
    /app
    root@0ff6994da726:/app# exit #退出
    exit
    [root@localhost dockerfile3]# docker ps #退出后进程还在后台运行,不影响原来在运行的app
    CONTAINER ID        IMAGE                COMMAND             CREATED             STATUS              PORTS               NAMES
    0ff6994da726        bigni/python_flask   "python app.py"     3 minutes ago       Up 3 minutes        5000/tcp            relaxed_banzai
    [root@localhost dockerfile3]# 

    3、查看运行中的容器的IP地址

    [root@localhost dockerfile3]# docker ps
    CONTAINER ID        IMAGE                COMMAND             CREATED             STATUS              PORTS               NAMES
    0ff6994da726        bigni/python_flask   "python app.py"     7 minutes ago       Up 7 minutes        5000/tcp            relaxed_banzai
    [root@localhost dockerfile3]# docker exec -it 0ff6994da726 ip
    Usage: ip [ OPTIONS ] OBJECT { COMMAND | help }
           ip [ -force ] -batch filename
    where  OBJECT := { link | address | addrlabel | route | rule | neigh | ntable |
                       tunnel | tuntap | maddress | mroute | mrule | monitor | xfrm |
                       netns | l2tp | fou | macsec | tcp_metrics | token | netconf | ila }
           OPTIONS := { -V[ersion] | -s[tatistics] | -d[etails] | -r[esolve] |
                        -h[uman-readable] | -iec |
                        -f[amily] { inet | inet6 | ipx | dnet | mpls | bridge | link } |
                        -4 | -6 | -I | -D | -B | -0 |
                        -l[oops] { maximum-addr-flush-attempts } | -br[ief] |
                        -o[neline] | -t[imestamp] | -ts[hort] | -b[atch] [filename] |
                        -rc[vbuf] [size] | -n[etns] name | -a[ll] | -c[olor]}
    [root@localhost dockerfile3]# docker exec -it 0ff6994da726 ip address  #查看ip地址
    1: lo: <LOOPBACK,UP,LOWER_UP> mtu 65536 qdisc noqueue state UNKNOWN group default qlen 1
        link/loopback 00:00:00:00:00:00 brd 00:00:00:00:00:00
        inet 127.0.0.1/8 scope host lo
           valid_lft forever preferred_lft forever
    68: eth0@if69: <BROADCAST,MULTICAST,UP,LOWER_UP> mtu 1500 qdisc noqueue state UP group default 
        link/ether 02:42:ac:11:00:02 brd ff:ff:ff:ff:ff:ff link-netnsid 0
        inet 172.17.0.2/16 brd 172.17.255.255 scope global eth0
           valid_lft forever preferred_lft forever
    [root@localhost dockerfile3]#

    4、停止运行的container 可以使用

    [root@localhost dockerfile3]# docker ps
    CONTAINER ID        IMAGE                COMMAND             CREATED             STATUS              PORTS               NAMES
    0ff6994da726        bigni/python_flask   "python app.py"     11 minutes ago      Up 11 minutes       5000/tcp            relaxed_banzai
    [root@localhost dockerfile3]# docker stop 0f #id可以缩写, 或者使用 docker container stop  containerID
    0f
    [root@localhost dockerfile3]# docker ps
    CONTAINER ID        IMAGE               COMMAND             CREATED             STATUS              PORTS               NAMES
    [root@localhost dockerfile3]# 

    5、指定container name

    PS:name也可以和ID一样,具有唯一性

    [root@localhost dockerfile3]# docker ps
    CONTAINER ID        IMAGE               COMMAND             CREATED             STATUS              PORTS               NAMES
    [root@localhost dockerfile3]# docker run -d  bigni/python_flask --name=python_flask 
    a0f19d7ec136c6359cee143d00f4f2619d09381279576c377f4d5fca33c88aed
    docker: Error response from daemon: OCI runtime create failed: container_linux.go:345: starting container process caused "exec: "--name=python_flask": executable file not found in $PATH": unknown.
    [root@localhost dockerfile3]# docker run -d --name=python_flask bigni/python_flask
    e9352a7f74a34ef5fd4470e44330496ef215b626db30712fdc62b5e1ec5361e2
    [root@localhost dockerfile3]# docker ps
    CONTAINER ID        IMAGE                COMMAND             CREATED             STATUS              PORTS               NAMES
    e9352a7f74a3        bigni/python_flask   "python app.py"     5 seconds ago       Up 4 seconds        5000/tcp            python_flask
    [root@localhost dockerfile3]# 

    6、查看docker object low-level information

    [root@localhost dockerfile3]# docker inspect e9352a7f74a3
    [
        {
            "Id": "e9352a7f74a34ef5fd4470e44330496ef215b626db30712fdc62b5e1ec5361e2",
            "Created": "2019-07-09T13:54:12.711239412Z",
            "Path": "python",
            "Args": [
                "app.py"
            ],
            "State": {
                "Status": "running",
                "Running": true,
                "Paused": false,
                "Restarting": false,
                "OOMKilled": false,
                "Dead": false,
                "Pid": 12966,
                "ExitCode": 0,
                "Error": "",
                "StartedAt": "2019-07-09T13:54:12.984885505Z",
                "FinishedAt": "0001-01-01T00:00:00Z"
            },
            "Image": "sha256:9ca7a3d1c78e0e6c5e5871a0fb3d8640cf1a3f340da6a700c265a15c727d36f1",
            "ResolvConfPath": "/var/lib/docker/containers/e9352a7f74a34ef5fd4470e44330496ef215b626db30712fdc62b5e1ec5361e2/resolv.conf",
            "HostnamePath": "/var/lib/docker/containers/e9352a7f74a34ef5fd4470e44330496ef215b626db30712fdc62b5e1ec5361e2/hostname",
            "HostsPath": "/var/lib/docker/containers/e9352a7f74a34ef5fd4470e44330496ef215b626db30712fdc62b5e1ec5361e2/hosts",
            "LogPath": "/var/lib/docker/containers/e9352a7f74a34ef5fd4470e44330496ef215b626db30712fdc62b5e1ec5361e2/e9352a7f74a34ef5fd4470e44330496ef215b626db30712fdc62b5e1ec5361e2-json.log",
            "Name": "/python_flask",
            "RestartCount": 0,
            "Driver": "overlay2",
            "Platform": "linux",
            "MountLabel": "",
            "ProcessLabel": "",
            "AppArmorProfile": "",
            "ExecIDs": null,
            "HostConfig": {
                "Binds": null,
                "ContainerIDFile": "",
                "LogConfig": {
                    "Type": "json-file",
                    "Config": {}
                },
                "NetworkMode": "default",
                "PortBindings": {},
                "RestartPolicy": {
                    "Name": "no",
                    "MaximumRetryCount": 0
                },
                "AutoRemove": false,
                "VolumeDriver": "",
                "VolumesFrom": null,
                "CapAdd": null,
                "CapDrop": null,
                "Dns": [],
                "DnsOptions": [],
                "DnsSearch": [],
                "ExtraHosts": null,
                "GroupAdd": null,
                "IpcMode": "shareable",
                "Cgroup": "",
                "Links": null,
                "OomScoreAdj": 0,
                "PidMode": "",
                "Privileged": false,
                "PublishAllPorts": false,
                "ReadonlyRootfs": false,
                "SecurityOpt": null,
                "UTSMode": "",
                "UsernsMode": "",
                "ShmSize": 67108864,
                "Runtime": "runc",
                "ConsoleSize": [
                    0,
                    0
                ],
                "Isolation": "",
                "CpuShares": 0,
                "Memory": 0,
                "NanoCpus": 0,
                "CgroupParent": "",
                "BlkioWeight": 0,
                "BlkioWeightDevice": [],
                "BlkioDeviceReadBps": null,
                "BlkioDeviceWriteBps": null,
                "BlkioDeviceReadIOps": null,
                "BlkioDeviceWriteIOps": null,
                "CpuPeriod": 0,
                "CpuQuota": 0,
                "CpuRealtimePeriod": 0,
                "CpuRealtimeRuntime": 0,
                "CpusetCpus": "",
                "CpusetMems": "",
                "Devices": [],
                "DeviceCgroupRules": null,
                "DiskQuota": 0,
                "KernelMemory": 0,
                "MemoryReservation": 0,
                "MemorySwap": 0,
                "MemorySwappiness": null,
                "OomKillDisable": false,
                "PidsLimit": 0,
                "Ulimits": null,
                "CpuCount": 0,
                "CpuPercent": 0,
                "IOMaximumIOps": 0,
                "IOMaximumBandwidth": 0,
                "MaskedPaths": [
                    "/proc/asound",
                    "/proc/acpi",
                    "/proc/kcore",
                    "/proc/keys",
                    "/proc/latency_stats",
                    "/proc/timer_list",
                    "/proc/timer_stats",
                    "/proc/sched_debug",
                    "/proc/scsi",
                    "/sys/firmware"
                ],
                "ReadonlyPaths": [
                    "/proc/bus",
                    "/proc/fs",
                    "/proc/irq",
                    "/proc/sys",
                    "/proc/sysrq-trigger"
                ]
            },
            "GraphDriver": {
                "Data": {
                    "LowerDir": "/var/lib/docker/overlay2/b0fd3dcb14f098298cffdabbd846c50913def554fbedcc9964f6d8340133f444-init/diff:/var/lib/docker/overlay2/03a9b82b2c9e96491837c0a33dd45886adbfa7e2341ba32f3406347920fdb555/diff:/var/lib/docker/overlay2/da3992aa0942e84aaf65255e86b76aa2f33a67d0bd365e703342702678665744/diff:/var/lib/docker/overlay2/97fe6e5072531114ad2c5776bcfc3b8bfb99142415cee98d0b7f99e4f85a3406/diff:/var/lib/docker/overlay2/766fd8fb4b7ab5e6262fc6eaddb1bf6217d36f39c1df003efcc912a2a1ced538/diff:/var/lib/docker/overlay2/4a1b0db496f066aa43883d8ca0a59595a9cdfdb84cc725288aaa21d8c43f3e4e/diff:/var/lib/docker/overlay2/3a95f72acbfdebb697651bbf6faed202b1ddec3ed0f5c2c1a473504ffb92e5a1/diff:/var/lib/docker/overlay2/8c21df782bdedb66d0a1d465911e7d0f1607ca91df6625d1a3226cfbce86b799/diff:/var/lib/docker/overlay2/4c84db527317ca84f629017feb44a390dea6e7447eb1b20fafd02158c782daa2/diff:/var/lib/docker/overlay2/b09af7df97608383eae6fcaa95fc598493fa2ec7d32bf22ad36e63ac6eb2d79a/diff:/var/lib/docker/overlay2/587c552e7b5dc0a9092cf8789ab84c12b2d1fca39bc2a224ecd10c11cd802105/diff:/var/lib/docker/overlay2/c9ab7356f6f29bd2fbfc084c4a7141d634b5092b9242979dbacf8907aaf97aa7/diff",
                    "MergedDir": "/var/lib/docker/overlay2/b0fd3dcb14f098298cffdabbd846c50913def554fbedcc9964f6d8340133f444/merged",
                    "UpperDir": "/var/lib/docker/overlay2/b0fd3dcb14f098298cffdabbd846c50913def554fbedcc9964f6d8340133f444/diff",
                    "WorkDir": "/var/lib/docker/overlay2/b0fd3dcb14f098298cffdabbd846c50913def554fbedcc9964f6d8340133f444/work"
                },
                "Name": "overlay2"
            },
            "Mounts": [],
            "Config": {
                "Hostname": "e9352a7f74a3",
                "Domainname": "",
                "User": "",
                "AttachStdin": false,
                "AttachStdout": false,
                "AttachStderr": false,
                "ExposedPorts": {
                    "5000/tcp": {}
                },
                "Tty": false,
                "OpenStdin": false,
                "StdinOnce": false,
                "Env": [
                    "PATH=/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
                    "LANG=C.UTF-8",
                    "PYTHONIOENCODING=UTF-8",
                    "GPG_KEY=C01E1CAD5EA2C4F0B8E3571504C367C218ADD4FF",
                    "PYTHON_VERSION=2.7.16",
                    "PYTHON_PIP_VERSION=19.1.1"
                ],
                "Cmd": [
                    "python",
                    "app.py"
                ],
                "ArgsEscaped": true,
                "Image": "bigni/python_flask",
                "Volumes": null,
                "WorkingDir": "/app",
                "Entrypoint": null,
                "OnBuild": null,
                "Labels": {
                    "author": "BIGNI"
                }
            },
            "NetworkSettings": {
                "Bridge": "",
                "SandboxID": "fa59981a59c7d43a82cff0c4c7549d51223848c845fd4c9792eab3310f1d2cdc",
                "HairpinMode": false,
                "LinkLocalIPv6Address": "",
                "LinkLocalIPv6PrefixLen": 0,
                "Ports": {
                    "5000/tcp": null
                },
                "SandboxKey": "/var/run/docker/netns/fa59981a59c7",
                "SecondaryIPAddresses": null,
                "SecondaryIPv6Addresses": null,
                "EndpointID": "0b0627742a3459b1f156862b9ba5ee779bb0158457e89cd284c5b68916a6a62f",
                "Gateway": "172.17.0.1",
                "GlobalIPv6Address": "",
                "GlobalIPv6PrefixLen": 0,
                "IPAddress": "172.17.0.2",
                "IPPrefixLen": 16,
                "IPv6Gateway": "",
                "MacAddress": "02:42:ac:11:00:02",
                "Networks": {
                    "bridge": {
                        "IPAMConfig": null,
                        "Links": null,
                        "Aliases": null,
                        "NetworkID": "d74eae6754f77ff10150ff7d99c411bc54bb3e35c2feb05eff54f68206a5a22c",
                        "EndpointID": "0b0627742a3459b1f156862b9ba5ee779bb0158457e89cd284c5b68916a6a62f",
                        "Gateway": "172.17.0.1",
                        "IPAddress": "172.17.0.2",
                        "IPPrefixLen": 16,
                        "IPv6Gateway": "",
                        "GlobalIPv6Address": "",
                        "GlobalIPv6PrefixLen": 0,
                        "MacAddress": "02:42:ac:11:00:02",
                        "DriverOpts": null
                    }
                }
            }
        }
    ]
    [root@localhost dockerfile3]#
    docker inspect containerID

    7、使用stress命令对image 内核进行测试

    1、进入image交互界面

    docker run -it ubuntu

    2、安装stress

    root@78a8b33fc484:/# apt-get update && apt-get install -y stress

    3、stress --help查看参数

    root@78a8b33fc484:/# stress --help
    `stress' imposes certain types of compute stress on your system
    
    Usage: stress [OPTION [ARG]] ...
     -?, --help         show this help statement
         --version      show version statement
     -v, --verbose      be verbose #debug调试
     -q, --quiet        be quiet
     -n, --dry-run      show what would have been done
     -t, --timeout N    timeout after N seconds
         --backoff N    wait factor of N microseconds before work starts
     -c, --cpu N        spawn N workers spinning on sqrt()
     -i, --io N         spawn N workers spinning on sync()
     -m, --vm N         spawn N workers spinning on malloc()/free() #启动多少个进程
         --vm-bytes B   malloc B bytes per vm worker (default is 256MB) #进程占用内存大小,默认是256MB
         --vm-stride B  touch a byte every B bytes (default is 4096)
         --vm-hang N    sleep N secs before free (default is none, 0 is inf)
         --vm-keep      redirty memory instead of freeing and reallocating
     -d, --hdd N        spawn N workers spinning on write()/unlink()
         --hdd-bytes B  write B bytes per hdd worker (default is 1GB)
         --hdd-noclean  do not unlink files created by hdd workers
    
    Example: stress --cpu 8 --io 4 --vm 2 --vm-bytes 128M --timeout 10s
    
    Note: Numbers may be suffixed with s,m,h,d,y (time) or B,K,M,G (size).
    root@78a8b33fc484:/# stress --vm 2
    stress: info: [77] dispatching hogs: 0 cpu, 0 io, 2 vm, 0 hdd
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  • 原文地址:https://www.cnblogs.com/laonicc/p/11160783.html
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