Docker的常用命令

Posted by Smile on March 16, 2021

Docker的常用命令

( 官方地址:https://docs.docker.com/reference/)

启动Docker

systemctl start docker
# 或者
service docker start

帮助命令

docker version			# 查看版本信息
docker info				# 显示docker的系统信息,包括镜像和容器的数量
docker [command] --help  # 万能命令/帮助命令

镜像命令

docker images 查询镜像

# 查询所有本地主机上的镜像
[smile@hadoop101 docker]$ sudo docker images			
REPOSITORY    TAG       IMAGE ID       CREATED       SIZE
hello-world   latest    d1165f221234   10 days ago   13.3kB
# 解释
REPOSITORY	镜像的仓库源
TAG       	镜像的标签
IMAGE ID 	镜像的ID
CREATED  	镜像的创建时间
SIZE      	镜像的大小
# 可选项
-a, --all             	# 列出所有的镜像
-f, --filter filter   Filter output based on conditions provided
      --format string   Pretty-print images using a Go template
      --no-trunc        "Don't truncate output"
-q, --quiet           	# 只显示镜像的id

docker search 搜索镜像

# 搜索镜像 docker search 镜像名
[smile@hadoop101 docker]$ sudo docker search 镜像名			
NAME               DESCRIPTION                                     STARS     OFFICIAL   AUTOMATED
mysql              MySQL is a widely used, open-source relation…   10620     [OK]   
...
# 可选项
-f, --filter filter   Filter output based on conditions provided
      --format string   Pretty-print search using a Go template
      --limit int       Max number of search results (default 25)
      --no-trunc        "Don't truncate output"
# 过滤收藏=9000的镜像 
[smile@hadoop101 docker]$ sudo docker search mysql --filter=stars=9000		

docker pull 下载镜像

# 下载镜像 docker pull 镜像名[:tag]
[smile@hadoop101 docker]$ sudo docker pull mysql
Using default tag: latest		# 如果不写tag,默认就是latest
latest: Pulling from library/mysql
a076a628af6f: Pull complete 	# 分层下载,docker image的核心 联合文件系统
f6c208f3f991: Pull complete 
88a9455a9165: Pull complete 
406c9b8427c6: Pull complete 
7c88599c0b25: Pull complete 
25b5c6debdaf: Pull complete 
43a5816f1617: Pull complete 
1a8c919e89bf: Pull complete 
9f3cf4bd1a07: Pull complete 
80539cea118d: Pull complete 
201b3cad54ce: Pull complete 
944ba37e1c06: Pull complete 
Digest: sha256:feada149cb8ff54eade1336da7c1d080c4a1c7ed82b5e320efb5beebed85ae8c	#签名
Status: Downloaded newer image for mysql:latest	
docker.io/library/mysql:latest	# 真实地址
# 这两条命令是等价的
docker pull mysql
docker pull docker.io/library/mysql:latest
# 指定版本下载
[smile@hadoop101 docker]$ sudo docker pull mysql:5.7
5.7: Pulling from library/mysql
a076a628af6f: Already exists	# 联合文件系统,已经存在了就不用下载
f6c208f3f991: Already exists 
88a9455a9165: Already exists 
406c9b8427c6: Already exists 
7c88599c0b25: Already exists 
25b5c6debdaf: Already exists 
43a5816f1617: Already exists 
1831ac1245f4: Pull complete 
37677b8c1f79: Pull complete 
27e4ac3b0f6e: Pull complete 
7227baa8c445: Pull complete 
Digest: sha256:b3d1eff023f698cd433695c9506171f0d08a8f92a0c8063c1a4d9db9a55808df
Status: Downloaded newer image for mysql:5.7
docker.io/library/mysql:5.7

docker rmi 删除镜像

# 根据镜像id删除镜像
# docker rmi -f 镜像id 镜像id 镜像id
[smile@hadoop101 docker]$ sudo docker rmi -f a70d36bc331a
Untagged: mysql:5.7
Untagged: mysql@sha256:b3d1eff023f698cd433695c9506171f0d08a8f92a0c8063c1a4d9db9a55808df
Deleted: sha256:a70d36bc331a13d297f882d3d63137d24b804f29fa67158c40ad91d5050c39c5
Deleted: sha256:50c77bf7bcddd1f1d97789d80ac2404eec22c860c104e858620d2a2e321f0ef7
Deleted: sha256:14244329b83dfc8982398ee4104a548385652d2bffb957798ff86a419013efd6
Deleted: sha256:6d990477f90af28473eb601a9bca22253f6381e053c5a8edda0a4f027e124a3c
Deleted: sha256:ee0449796df204071589162fc16f8d65586312a40c68d1ba156c93c56f5e5ce8
# 利用linux命令,将docker images -aq 的查询结果作为参数,删除全部镜像
[smile@hadoop101 docker]$ sudo docker rmi -f $(sudo docker images -aq)

容器命令

​ 说明:有了镜像后才可以创建容器

docker pull centos	# 下载centos镜像

新建容器并启动

docker run [可选参数] 镜像名
# 参数说明
--name="Name"	# 容器名字 centos01 用来区分容器
-d           	# 后台方式运行
-it          	# 使用交互方式运行,进入容器查看内容
-p           	# 指定容器的端口 -p 8080:8080
	-p	主机端口:容器端口
	-p	容器端口
	-p	ip:主机端口:容器端口
-P           	# 随机指定端口

# 测试 启动并进入容器
[smile@hadoop101 docker]$ sudo docker run -it centos /bin/bash
[root@3fc7ba7638e1 /]# ls	# 查看容器内的centos,基础版本,很多命令都是不完善的
bin  etc   lib	  lost+found  mnt  proc  run   srv  tmp  var
dev  home  lib64  media       opt  root  sbin  sys  usr
# 测试 从容器中退回到主机  退出即停止
[root@3fc7ba7638e1 /]# exit  
exit
# 测试 从容器中退回到主机	退出不停止
Ctrl + P + Q  # 三个键一起按
[smile@hadoop101 docker]$ sudo docker ps 
CONTAINER ID   IMAGE     COMMAND       CREATED          STATUS          PORTS     NAMES
2b2a66d2e32e   centos    "/bin/bash"   27 seconds ago   Up 26 seconds             tender_snyder

列出所有运行的容器

# 列出所有当前运行的容器
docker ps 
# 常用参数说明
-a			# 列出当前正在运行的容器 + 带出历史运行过的容器
-n=?		# 显示最近创建的容器(控制显示个数)(貌似把等号换成空格也可以)
-q 			# 只显示容器的ID
[smile@hadoop101 docker]$ sudo docker ps -a
CONTAINER ID   IMAGE          COMMAND       CREATED         STATUS              PORTS     NAMES
3fc7ba7638e1   centos         "/bin/bash"   3 minutes ago   Exited (0) About a minute ago             affectionate_joliot
863687b9b781   d1165f221234   "/hello"      2 hours ago     Exited (0) 2 hours ago                    practical_jepsen
ea36f0ccbcdf   d1165f221234   "/hello"      2 hours ago     Exited (0) 2 hours ago                    silly_merkle

删除容器

# 删除指定的容器 不能删除正在运行的容器 如果想要删除 docker rm -f
docker rm 容器id
[smile@hadoop101 docker]$ sudo docker rm 3fc7ba7638e1
3fc7ba7638e1
[smile@hadoop101 docker]$ sudo docker ps -a
CONTAINER ID   IMAGE          COMMAND       CREATED         STATUS                   PORTS     NAMES
2b2a66d2e32e   centos         "/bin/bash"   3 minutes ago   Up 2 minutes                    tender_snyder
# 删除所有的容器
docker rm -f $(docker ps -aq)		# 第一种方式
[smile@hadoop101 docker]$ sudo docker rm -f $(sudo docker ps -aq)
2b2a66d2e32e
1f7310fd0c88
docker ps -aq | xargs docker rm		# 第二种方式(利用管道)
[smile@hadoop101 docker]$ sudo docker ps -aq | xargs sudo docker rm 
0d4e60aef21e

启动和停止容器的操作

docker start 容器id		# 启动容器
docker restart 容器id		# 重启容器
docker stop 容器id		# 停止容器
docker kill 容器id		# 强制停止当前容器

常用其他命令

后台启动容器

# docker run -d 镜像名
[smile@hadoop101 docker]$ sudo docker run -d centos
d772260b350be5d9a7d89db3a99a3504234938acd900991180b3672ff7c6f240
# 问题 docker ps 发现 centos 容器 停止了
# 常见的坑,docker 容器使用后台运行,就必须要有一个前台进程
# docker 发现没有应用,就会自动停止容器

查看日志

# docker logs 容器id
# 一般这样用
docker logs -tf --tail 日志条数 容器id
# 没有日志 后台启动centos 并执行shell脚本
[smile@hadoop101 docker]$ sudo docker run -d centos /bin/sh -c "while true;do echo smile;sleep 1;done"
70bbe88d06cb3a6eea773fbe8f72340f5fad895b716b5980522e57102459a0a5
[smile@hadoop101 docker]$ sudo docker ps
CONTAINER ID   IMAGE     COMMAND                  CREATED         STATUS         PORTS     NAMES
70bbe88d06cb   centos    "/bin/sh -c 'while t…"   5 seconds ago   Up 4 seconds             cranky_ride
[smile@hadoop101 docker]$ sudo docker logs -tf --tail 10 70bbe88d06cb
2021-03-16T06:05:10.210921938Z smile
2021-03-16T06:05:11.214341678Z smile
2021-03-16T06:05:12.216893547Z smile
···

查看容器进程信息

# docker top 容器id
[smile@hadoop101 docker]$ sudo docker top 70bbe88d06cb
UID                 PID                 PPID                C                   STIME               TTY                 TIME                CMD
root                5657                5638                0                   02:02               ?                   00:00:00            /bin/sh -c while true;do echo smile;sleep 1;done
root                6234                5657                0                   02:08               ?                   00:00:00            /usr/bin/coreutils --coreutils-prog-shebang=sleep /usr/bin/sleep 1

查看容器内部信息

# docker inspect 容器id
[smile@hadoop101 docker]$ sudo docker inspect 70bbe88d06cb
内容过长,点击展开
    	
[smile@hadoop101 docker]$ sudo docker inspect 70bbe88d06cb
[
    {
        "Id": "70bbe88d06cb3a6eea773fbe8f72340f5fad895b716b5980522e57102459a0a5",
        "Created": "2021-03-16T06:02:50.44703729Z",
        "Path": "/bin/sh",
        "Args": [
            "-c",
            "while true;do echo smile;sleep 1;done"
        ],
        "State": {
            "Status": "running",
            "Running": true,
            "Paused": false,
            "Restarting": false,
            "OOMKilled": false,
            "Dead": false,
            "Pid": 5657,
            "ExitCode": 0,
            "Error": "",
            "StartedAt": "2021-03-16T06:02:50.765767367Z",
            "FinishedAt": "0001-01-01T00:00:00Z"
        },
        "Image": "sha256:300e315adb2f96afe5f0b2780b87f28ae95231fe3bdd1e16b9ba606307728f55",
        "ResolvConfPath": "/var/lib/docker/containers/70bbe88d06cb3a6eea773fbe8f72340f5fad895b716b5980522e57102459a0a5/resolv.conf",
        "HostnamePath": "/var/lib/docker/containers/70bbe88d06cb3a6eea773fbe8f72340f5fad895b716b5980522e57102459a0a5/hostname",
        "HostsPath": "/var/lib/docker/containers/70bbe88d06cb3a6eea773fbe8f72340f5fad895b716b5980522e57102459a0a5/hosts",
        "LogPath": "/var/lib/docker/containers/70bbe88d06cb3a6eea773fbe8f72340f5fad895b716b5980522e57102459a0a5/70bbe88d06cb3a6eea773fbe8f72340f5fad895b716b5980522e57102459a0a5-json.log",
        "Name": "/cranky_ride",
        "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,
            "CgroupnsMode": "host",
            "Dns": [],
            "DnsOptions": [],
            "DnsSearch": [],
            "ExtraHosts": null,
            "GroupAdd": null,
            "IpcMode": "private",
            "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,
            "DeviceRequests": null,
            "KernelMemory": 0,
            "KernelMemoryTCP": 0,
            "MemoryReservation": 0,
            "MemorySwap": 0,
            "MemorySwappiness": null,
            "OomKillDisable": false,
            "PidsLimit": null,
            "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/overlay2/09d88e3641569cd0a6f5a8015d6cc8fd358b3a0504aa4f2222e5c1e222e3614b-init/diff:/var/lib/docker/overlay2/eca92fb8aa4261099a3ec21316a06e06d3d1465d952445ebdcb9d244bc6f57d8/diff",
                "MergedDir": "/var/lib/docker/overlay2/09d88e3641569cd0a6f5a8015d6cc8fd358b3a0504aa4f2222e5c1e222e3614b/merged",
                "UpperDir": "/var/lib/docker/overlay2/09d88e3641569cd0a6f5a8015d6cc8fd358b3a0504aa4f2222e5c1e222e3614b/diff",
                "WorkDir": "/var/lib/docker/overlay2/09d88e3641569cd0a6f5a8015d6cc8fd358b3a0504aa4f2222e5c1e222e3614b/work"
            },
            "Name": "overlay2"
        },
        "Mounts": [],
        "Config": {
            "Hostname": "70bbe88d06cb",
            "Domainname": "",
            "User": "",
            "AttachStdin": false,
            "AttachStdout": false,
            "AttachStderr": false,
            "Tty": false,
            "OpenStdin": false,
            "StdinOnce": false,
            "Env": [
                "PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin"
            ],
            "Cmd": [
                "/bin/sh",
                "-c",
                "while true;do echo smile;sleep 1;done"
            ],
            "Image": "centos",
            "Volumes": null,
            "WorkingDir": "",
            "Entrypoint": null,
            "OnBuild": null,
            "Labels": {
                "org.label-schema.build-date": "20201204",
                "org.label-schema.license": "GPLv2",
                "org.label-schema.name": "CentOS Base Image",
                "org.label-schema.schema-version": "1.0",
                "org.label-schema.vendor": "CentOS"
            }
        },
        "NetworkSettings": {
            "Bridge": "",
            "SandboxID": "c886330fceb8da4c72ca60e3a13a90c3a34e2f27f5fbbb8eada9230b67063b75",
            "HairpinMode": false,
            "LinkLocalIPv6Address": "",
            "LinkLocalIPv6PrefixLen": 0,
            "Ports": {},
            "SandboxKey": "/var/run/docker/netns/c886330fceb8",
            "SecondaryIPAddresses": null,
            "SecondaryIPv6Addresses": null,
            "EndpointID": "ae1574f634c5313931f8f782e7bfc731a5ae2b005dc3f1c0c437b1136d6f8d95",
            "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": "0ae0959da06c60be2ecfd4afdce949ddb648cf123b2641ecec913e80eaa9321f",
                    "EndpointID": "ae1574f634c5313931f8f782e7bfc731a5ae2b005dc3f1c0c437b1136d6f8d95",
                    "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
                }
            }
        }
    }
]
    	
    

进入当前正在运行的容器

# 我们通常容器都是使用后台方式运行的,需要进入容器,修改一些配置

# 方式一 docker exec -it 容器id bashShell
# 进入容器后开启一个新的终端
[smile@hadoop101 docker]$ sudo docker exec -it 70bbe88d06cb /bin/bash
[root@70bbe88d06cb /]# ls
bin  etc   lib	  lost+found  mnt  proc  run   srv  tmp  var
dev  home  lib64  media       opt  root  sbin  sys  usr
# 方式二 docker attach -it 容器id bashShell
# 进入容器正在执行的终端,不会打开新的终端
[smile@hadoop101 docker]$ sudo docker attach  70bbe88d06cb
smile
smile
smile
# 上面写的死循环输出,可以再打开一个终端,用 docker stop 容器id 结束容器进程

从容器内拷贝文件到主机上

# 命令 docker cp 容器id:被拷贝文件路径 文件保存路径
# 拷贝是一个手动过程,未来我们额使用 -v 卷的技术,可以实现自动同步
# 在容器内新建文件
[root@33d875098e49 home]# echo "Hello, I am Smile" > smile.txt
# exit 退出容器后 拷贝测试
[smile@hadoop101 ~]$ sudo docker cp 33d875098e49:/home/smile.txt /home/smile
[smile@hadoop101 ~]$ ll
total 4
-rw-r--r--. 1 root root 18 Mar 16 02:32 smile.txt

小结

image-20210316144542658

attach		# 当前 shell 下 attach 连接指定运行镜像
build		# 通过 Dockerfile 定制镜像
commit		# 提交当前容器为新的镜像
cp    		# 从容器中拷贝指定文件或目录到宿主机中
create		# 创建一个新的容器,同 run ,但不启动容器
diff		# 查看 docker 容器变化
events		# 从 docker 服务获取容器实时事件
exec		# 在已存在的容器上运行命令
export		# 导出容器的内容流作为一个 tar 归档文件[对应 import]
history		# 展示一个镜像形成历史
images		# 列出系统当前镜像
import		# 从 tar 包中的内容创建一个新的文件系统镜像[对应 export]
info  		# 显示系统相关信息
inspect		# 查看容器详细信息
kill		# kill 指定 docker 容器
load		# 从一个 tar 包中加载一个镜像[对应 save]
login		# 注册或者登录一个 docker 源服务器
logout		# 从当前 Docker registry 退出
logs		# 输出当前容器的日志信息
port		# 查看映射端口对应的容器内部源端口
pause		# 暂停容器
ps   		# 列出容器列表
pull		# 从 docker 镜像服务器中拉取指定镜像
push		# 推送指定镜像或者库镜像到 docker 源服务器
restart		# 重启运行的容器
rm   		# 移除一个容器或者多个容器
rmi  		# 移除一个或多个镜像(无容器使用该镜像才可删除,否则需删除相关容器才可继续,或 -f 强制删除)
run 		# 创建一个新的容器并运行一个命令
save		# 保存一个镜像为一个 tar 包[对应 load]
search		# 在 docker hub 中搜索镜像
start		# 启动容器
stop		# 停止容器
tag 		# 给源中镜像打标签
top 		# 查看容器中运行的进程信息
unpause		# 取消暂停容器
version		# 查看 docker 版本号
wait		# 截取容器停止时的退出状态