一、说明
因内网主机需要拉取镜像进行Docker应用，因此需要一台带外主机作为内网私有仓库来提供内外其他docker业务主机使用。参考架构如下：
相关资源：加密、Distribution registry、Create and Configure Docker Registry、Registry部署、Distribution Registry v2 authentication、docker-registry
二、部署配置
注：不要在已有业务的生产环境主机搭建，因为过程需要重启docker，这对生产来说是不可被接受的；Docker 配置文件的默认位置如下：
Linux：/etc/docker/daemon.json
macOS：/Library/Preferences/com.docker.docker/daemon.json
Windows：C:\ProgramData\Docker\config\daemon.json
环境变量：export DOCKER_CONFIG=/home/my/docker/config
2.1、Docker基础环境部署
bash
#因在带外主机上部署，直接yum即可
yum install yum-utils -y #yum-config-manager依赖
--------------------------------------------------------------------------------------------------------------------------
Total 1.4 MB/s | 1.3 MB 00:00:00
Running transaction check
Running transaction test
Transaction test succeeded
Running transaction
Installing : python-kitchen-1.1.1-5.el7.noarch 1/5
Updating : libxml2-2.9.1-6.el7_9.6.x86_64 2/5
Installing : libxml2-python-2.9.1-6.el7_9.6.x86_64 3/5
Installing : yum-utils-1.1.31-54.el7_8.noarch 4/5
Cleanup : libxml2-2.9.1-6.el7_2.3.x86_64 5/5
Verifying : libxml2-2.9.1-6.el7_9.6.x86_64 1/5
Verifying : python-kitchen-1.1.1-5.el7.noarch 2/5
Verifying : yum-utils-1.1.31-54.el7_8.noarch 3/5
Verifying : libxml2-python-2.9.1-6.el7_9.6.x86_64 4/5
Verifying : libxml2-2.9.1-6.el7_2.3.x86_64 5/5
Installed:
yum-utils.noarch 0:1.1.31-54.el7_8
Dependency Installed:
libxml2-python.x86_64 0:2.9.1-6.el7_9.6 python-kitchen.noarch 0:1.1.1-5.el7
Dependency Updated:
libxml2.x86_64 0:2.9.1-6.el7_9.6
Complete!
yum-config-manager --add-repo http://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo
Loaded plugins: fastestmirror, versionlock
adding repo from: http://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo
grabbing file http://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo to /etc/yum.repos.d/docker-ce.repo
repo saved to /etc/yum.repos.d/docker-ce.repo
#基础包（可忽略）
yum install -y wget net-tools nfs-utils lrzsz gcc gcc-c++ make cmake libxml2-devel openssl-devel curl curl-devel unzip sudo ntp libaio-devel wget vim ncurses-devel autoconf automake zlib-devel python-devel epel-release openssh-server socat ipvsadm conntrack ntpdate telnet
#安装依赖
yum install -y device-mapper-persistent-data lvm2
......
Updated:
device-mapper-persistent-data.x86_64 0:0.8.5-3.el7_9.2 lvm2.x86_64 7:2.02.187-6.el7_9.5
Dependency Updated:
device-mapper.x86_64 7:1.02.170-6.el7_9.5 device-mapper-event.x86_64 7:1.02.170-6.el7_9.5
device-mapper-event-libs.x86_64 7:1.02.170-6.el7_9.5 device-mapper-libs.x86_64 7:1.02.170-6.el7_9.5
lvm2-libs.x86_64 7:2.02.187-6.el7_9.5
Complete!
#安装docker环境，
yum install docker-ce docker-ce-cli containerd.io -y
#或
yum install -y docker-ce-23.0.1-1.el7 docker-ce-cli-23.0.1-1.el7 containerd.io docker-buildx-plugin docker-compose-plugin #前三个必安装，推荐安装1.11.2以上版本的容器引擎客户端
#创建用户
usermod -aG docker $(USER)
#启动
systemctl start docker
systemctl status docker #输出如下
● docker.service - Docker Application Container Engine
Loaded: loaded (/usr/lib/systemd/system/docker.service; disabled; vendor preset: disabled)
Active: active (running) since Tue 2024-01-16 17:48:54 CST; 5s ago
Docs: https://docs.docker.com
Main PID: 4549 (dockerd)
Memory: 25.0M
CGroup: /system.slice/docker.service
└─4549 /usr/bin/dockerd -H fd:// --containerd=/run/containerd/containerd.sock
Jan 16 17:48:52 Desktopvideo systemd[1]: Starting Docker Application Container Engine...
Jan 16 17:48:52 Desktopvideo dockerd[4549]: time="2024-01-16T17:48:52.895562767+08:00" level=info msg="Starting up"
Jan 16 17:48:53 Desktopvideo dockerd[4549]: time="2024-01-16T17:48:53.034501644+08:00" level=info msg="Loading...art."
Jan 16 17:48:53 Desktopvideo dockerd[4549]: time="2024-01-16T17:48:53.894486165+08:00" level=info msg="Loading...one."
Jan 16 17:48:53 Desktopvideo dockerd[4549]: time="2024-01-16T17:48:53.994229637+08:00" level=info msg="Docker ...4.0.7
Jan 16 17:48:53 Desktopvideo dockerd[4549]: time="2024-01-16T17:48:53.994411964+08:00" level=info msg="Daemon ...tion"
Jan 16 17:48:54 Desktopvideo dockerd[4549]: time="2024-01-16T17:48:54.145085504+08:00" level=info msg="API lis...sock"
Jan 16 17:48:54 Desktopvideo systemd[1]: Started Docker Application Container Engine.
Hint: Some lines were ellipsized, use -l to show in full.
#配置开机自启
systemctl enable docker #输出如下
Created symlink from /etc/systemd/system/multi-user.target.wants/docker.service to /usr/lib/systemd/system/docker.service
#验证
docker version #输出如下
Client: Docker Engine - Community
Version: 24.0.7
API version: 1.43
Go version: go1.20.10
Git commit: afdd53b
Built: Thu Oct 26 09:11:35 2023
OS/Arch: linux/amd64
Context: default
Server: Docker Engine - Community
Engine:
Version: 24.0.7
API version: 1.43 (minimum version 1.12)
Go version: go1.20.10
Git commit: 311b9ff
Built: Thu Oct 26 09:10:36 2023
OS/Arch: linux/amd64
Experimental: false
containerd:
Version: 1.6.27
GitCommit: a1496014c916f9e62104b33d1bb5bd03b0858e59
runc:
Version: 1.1.11
GitCommit: v1.1.11-0-g4bccb38
docker-init:
Version: 0.19.0
GitCommit: de40ad0
===============================
docker run hello-world #验证，第一次会下载，然后再输出Hello from Docker!
Unable to find image 'hello-world:latest' locally
latest: Pulling from library/hello-world
c1ec31eb5944: Pull complete
Digest: sha256:4bd78111b6914a99dbc560e6a20eab57ff6655aea4a80c50b0c5491968cbc2e6
Status: Downloaded newer image for hello-world:latest
Hello from Docker!
This message shows that your installation appears to be working correctly.
To generate this message, Docker took the following steps:
1. The Docker client contacted the Docker daemon.
2. The Docker daemon pulled the "hello-world" image from the Docker Hub.
(amd64)
3. The Docker daemon created a new container from that image which runs the
executable that produces the output you are currently reading.
4. The Docker daemon streamed that output to the Docker client, which sent it
to your terminal.
To try something more ambitious, you can run an Ubuntu container with:
$ docker run -it ubuntu bash
Share images, automate workflows, and more with a free Docker ID:
https://hub.docker.com/
For more examples and ideas, visit:
https://docs.docker.com/get-started/
docker history docker.io/hello-world #输出如下
IMAGE CREATED CREATED BY SIZE COMMENT
d2c94e258dcb 8 months ago CMD ["/hello"] 0B buildkit.dockerfile.v0
<missing> 8 months ago COPY hello / # buildkit 13.3kB buildkit.dockerfile.v0
docker info #输出如下
Client: Docker Engine - Community
Version: 24.0.7
Context: default
Debug Mode: false
Plugins:
buildx: Docker Buildx (Docker Inc.)
Version: v0.11.2
Path: /usr/libexec/docker/cli-plugins/docker-buildx
compose: Docker Compose (Docker Inc.)
Version: v2.21.0
Path: /usr/libexec/docker/cli-plugins/docker-compose
Server:
Containers: 2
Running: 0
Paused: 0
Stopped: 2
Images: 1
Server Version: 24.0.7
Storage Driver: overlay2
Backing Filesystem: extfs
Supports d_type: true
Using metacopy: false
Native Overlay Diff: true
userxattr: false
Logging Driver: json-file
Cgroup Driver: cgroupfs
Cgroup Version: 1
Plugins:
Volume: local
Network: bridge host ipvlan macvlan null overlay
Log: awslogs fluentd gcplogs gelf journald json-file local logentries splunk syslog
Swarm: inactive
Runtimes: io.containerd.runc.v2 runc #这里
Default Runtime: runc
Init Binary: docker-init
containerd version: a1496014c916f9e62104b33d1bb5bd03b0858e59
runc version: v1.1.11-0-g4bccb38
init version: de40ad0
Security Options:
seccomp
Profile: builtin
Kernel Version: 3.10.0-693.21.1.el7.x86_64
Operating System: CentOS Linux 7 (Core)
OSType: linux
Architecture: x86_64
CPUs: 4
Total Memory: 15.51GiB
Name: Desktopvideo
ID: 07c30337-2af0-4f9f-bb63-fc5e0af01a76
Docker Root Dir: /var/lib/docker #默认位置
Debug Mode: false
Experimental: false
Insecure Registries:
127.0.0.0/8
Live Restore Enabled: false2.2、配置
注：安装完docker后会生成一个docker0的网卡和br-x开头的网桥，从外部访问容器内部时只需要访问宿主机的地址和对应的容器映射的地址，访问的数据包到宿主机上后经过ip包解析后通过目的port和iptables的规则会将数据包由eth0网卡转发至网桥上的docker0上进行下一步路由。所以如果容器的宿主机上的ip_forward未打开，那么该宿主机上的容器则不能被其他宿主机访问；net.bridge.bridge-nf-call-iptables用于转发是因默认情况下，从容器发送到默认网桥的流量，不会被转发到外部。
bash
#开启包转发功能和修改内核参数
modprobe br_netfilter #用于linux iptables/netfilter通过和linux bridge功能联动，以实现透明防火墙功能，它也称桥接模式防火墙（Bridge Firewall），也就是在网桥设备上加入防火墙功能，否则下面内核参数启用时会报错
echo "modprobe br_netfilter" >> /etc/profile
cat > /etc/sysctl.d/docker.conf <<EOF
net.bridge.bridge-nf-call-ip6tables = 1
net.bridge.bridge-nf-call-iptables = 1
net.ipv4.ip_forward = 1
EOF
#应用生效
sysctl -p /etc/sysctl.d/docker.conf
#拉取仓库镜像
docker pull distribution/registry #输出如下
Using default tag: latest
latest: Pulling from distribution/registry
90f4dba627d6: Pull complete
6ca70669e0c7: Pull complete
8afccc587e11: Pull complete
5d5d4c33684a: Pull complete
6865c91bf9e0: Pull complete
24ec77c4f34d: Pull complete
d998fd3ae604: Pull complete
9ae2aa709472: Pull complete
dfbbb717df56: Pull complete
9f9a21385c8d: Pull complete
30cb17477211: Pull complete
Digest: sha256:910528144c2dcbfbf1ee85b9b3c8b8312ef4222e61e7d6282b0b17d6e363611c
Status: Downloaded newer image for distribution/registry:latest
docker.io/distribution/registry:latest
docker images |grep registry #验证
distribution/registry latest 71b9fde93b3f 5 years ago 299MB
#使用registry镜像搭建一个私有仓库,名称建议小写；默认情况下，Registry存放镜像的目录是/var/lib/registry目录下，这样如果容器被删除，则存放于容器中的镜像也会丢失，所以我们一般情况下会使用-v参数指定本地持久的路径，映射或挂载到容器的/var/lib/registry下，其中registry目录会自动创建
docker run -d -v /data/docker/registry:/var/lib/registry -p 5000:5000 --restart=always --name myhub distribution/registry
docker ps -a|grep regis #验证
b7715545dda9 distribution/registry "registry serve /etc..." 14 seconds ago Up 11 seconds 0.0.0.0:5000->5000/tcp, :::5000->5000/tcp myhub
curl http://localhost:5000/v2/_catalog
{"repositories":[]}2.3、构建私有仓库
1）私有仓库因外联公网，可以直接从hub下载镜像，然后执行docker load -i xx.tar进行上传到本地仓库，也可直接pull
bash
docker images #验证本地仓库已有镜像，这里就用hello-world测试，你可自行pull其他镜像，比如busybox，它是一个集成了一百多个最常用Linux命令和工具的工具箱，更多参看：www.busybox.net
REPOSITORY TAG IMAGE ID CREATED SIZE
hello-world latest d2c94e258dcb 8 months ago 13.3kB
distribution/registry latest 71b9fde93b3f 5 years ago 299MB
#修改镜像标签为你的私有仓库镜像
#语法： docker tag 原镜像名:标签 私有仓库地址/新镜像名:标签，如果不写镜像标签，默认是：latest
#docker tag <public-image-name> <your-registry-address>/<image-name>
docker tag hello-world 172.1.18.9:5000/hello-world:v1
docker images #验证
REPOSITORY TAG IMAGE ID CREATED SIZE
172.1.18.9:5000/hello-world v1 d2c94e258dcb 8 months ago 13.3kB
hello-world latest d2c94e258dcb 8 months ago 13.3kB
distribution/registry latest 71b9fde93b3f 5 years ago 299MB
#修改私有仓库本地配置文件
vim /etc/docker/deamon.json #添加如下
{
"insecure-registries":["172.1.18.9:5000"]
}
#完成后，重启docker
systemctl restart docker
docker info #验证，输出如下即可
......
Insecure Registries:
172.1.18.9:5000
127.0.0.0/8
#将172.1.18.9:5000/hello-world:v1 push到私有仓库里
docker push 172.1.18.9:5000/hello-world:v1 #输出如下
The push refers to repository [172.1.18.9:5000/hello-world]
ac28800ec8bb: Pushed
v1: digest: sha256:d37ada95d47ad12224c205a938129de52345828b4fa27b03a98825d1e2e7 size: 524
#验证
curl -S http://172.16.18.9:5000/v2/_catalog #如下所示，已经可见刚才上传的镜像了，当然客户端也可验证
{"repositories":["hello-world"]}2）启动registry-web
由于官方的registry只是提供了api，没有一个图形化界面供显示和操作，所以我们可以利用第三方提供的镜像启动一个图形化页面。进入容器的工作目录（/var/lib/docker/containers//）， 创建config.yml文件（容器的配置文件），配置：
bash
docker inspect <container-id> | grep "ConfigPath" #查看指定容器去配置文件
cd /var/lib/docker/b7715545dda975dd41b4d571d329e8edb34c07f236e03f144b1c68e552fc8ec4/
ls #输出如下
b7715545dda975dd41b4d571d329e8edb34c07f236e03f144b1c68e552fc8ec4-json.log
checkpoints
config.v2.json
hostconfig.json
hostname
hosts
mounts
resolv.conf
resolv.conf.hash
#创建config.yml文件，配置：
registry:
# Docker registry url
url: http://172.1.18.9:5000/v2
# Docker registry fqdn
name: localhost:5000
# To allow image delete, should be false
readonly: false
auth:
# Disable authentication
enabled: false
#拉取web容器，找一个stars多的
docker pull hyper/docker-registry-web
#启动容器
mkdir -p /etc/docker/container/conf/
docker run -d -p 18080:18080 --name my-registry-web --restart=always -v $(pwd)/config.yml:/etc/docker/container/conf/config.yml:ro hyper/docker-registry-web
#验证
docker inspect --format '{{ .NetworkSettings.IPAddress }}' registry_id
curl -XGET http://localhost:5000/v2/_catalog
curl -s -XGET localhost:5000/v2/_catalog
curl -XGET http://localhost:5000/v2/hello-world/tags/list #输出如下
{"name":"hello-world","tags":["v1"]}
#删除镜像：DELETE /v2/<name>/manifests/<reference>（镜像对应sha256值）
curl -I -X DELETE http://localhost:5000/v2/hello-world/manifests/sha256:48c7f9c92844bbbb5d0a101392f7c2a7949e40f8ea90c8b3bc396879d95e897e
#报错
024-01-17 04:21:29,399 [http-bio-8080-exec-1] ERROR web.RepositoryController - Can't access registry: _catalog?n=100
org.springframework.web.client.ResourceAccessException: I/O error on GET request for "http://localhost:5000/v2/_catalog?n=100":Connection refused; nested exception is java.net.ConnectException: Connection refused
at grails.plugins.rest.client.RestBuilder.invokeRestTemplate(RestBuilder.groovy:312)
at docker.registry.web.CustomRestBuilder.request(CustomRestBuilder.groovy:22)
at docker.registry.web.RestService.requestInternal(RestService.groovy:70)
at docker.registry.web.RestService.request(RestService.groovy:63)
at docker.registry.web.RestService.get(RestService.groovy:42)
at docker.registry.web.RepositoryController.index(RepositoryController.groovy:29)
at grails.plugin.cache.web.filter.PageFragmentCachingFilter.doFilter(PageFragmentCachingFilter.java:198)
at grails.plugin.cache.web.filter.AbstractFilter.doFilter(AbstractFilter.java:63)
at grails.plugin.springsecurity.web.filter.GrailsAnonymousAuthenticationFilter.doFilter(GrailsAnonymousAuthenticationFilter.java:53)
at grails.plugin.springsecurity.web.authentication.logout.MutableLogoutFilter.doFilter(MutableLogoutFilter.java:62)
at grails.plugin.springsecurity.web.SecurityRequestHolderFilter.doFilter(SecurityRequestHolderFilter.java:59)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.net.ConnectException: Connection refused
at java.net.AbstractPlainSocketImpl.doConnect(AbstractPlainSocketImpl.java:339)
at java.net.AbstractPlainSocketImpl.connectToAddress(AbstractPlainSocketImpl.java:200)
at java.net.AbstractPlainSocketImpl.connect(AbstractPlainSocketImpl.java:182)
at java.net.SocksSocketImpl.connect(SocksSocketImpl.java:392)
at java.net.Socket.connect(Socket.java:579)
at java.net.Socket.connect(Socket.java:528)
... 14 more现场遇到了报错：
bash
#源命令
docker run -d -p 8080:8080 --name my-registry-web --restart=always -v $(pwd)/config.yml:/etc/docker/container/conf/config.yml:ro hyper/docker-registry-web
#修改
docker run -d -p 8080:8080 --restart=always --name my-registry-web --link myhub -e REGISTRY_URL=http://172.1.18.9:5000/v2 -e REGISTRY_NAME=localhost:5000 hyper/docker-registry-web
3）设置http访问的私有镜像仓库容器
docker从1.3.X之后，与docker registry交互默认使用的是https，修改docker启动配置文件，在启动docker server时增加启动参数为默认使用http访问。可通过修改启动服务来，修改docker启动时的仓库访问
cp /usr/lib/systemd/system/docker.service /usr/lib/systemd/system/docker.service.bak
修改docker.service
vim /usr/lib/systemd/system/docker.service #找到 ExecStart的行，修改成下面这样
bash
ExecStart=/usr/bin/dockerd -H fd:// --containerd=/run/containerd/containerd.sock --insecure-registry localhost:5000
#或
ExecStart=/usr/bin/dockerd $OPTIONS \
$DOCKER_STORAGE_OPTIONS \
$DOCKER_NETWORK_OPTIONS \
$INSECURE_REGISTRY \
--insecure-registry localhost:5000注意上面的不要与配置文件冲突了，二选一，否则报错：
bash
6 dockerd[1011290]: unable to configure the Docker daemon with file /etc/docker/daemon.json: the following directives are specified both as a flag and in the configuration file: insecure-registries: (from flag: [172.1.18.9:5000], from file: [172.1.18.9:5000])4）设置https访问的私有镜像仓库容器
bash
yum -y install httpd-tools #安装加密工具
cd /etc/docker/
mkdir certs
#生产自签证书，跟ssh配置一样
openssl req -newkey rsa:4096 -nodes -sha256 -keyout certs/registry.key -x509 -days 365 -out certs/registry.crt #类似如下
Generating a 4096 bit RSA private key
......................................++
...........++
writing new private key to 'certs/registry.key'
-----
You are about to be asked to enter information that will be incorporated
into your certificate request.
What you are about to enter is what is called a Distinguished Name or a DN.
There are quite a few fields but you can leave some blank
For some fields there will be a default value,
If you enter '.', the field will be left blank.
-----
Country Name (2 letter code) [XX]:CN
State or Province Name (full name) []:beijing
Locality Name (eg, city) [Default City]:
Organization Name (eg, company) [Default Company Ltd]:
Organizational Unit Name (eg, section) []:
Common Name (eg, your name or your server's hostname) []:localhost
Email Address []:
#生成鉴权密码文件：username和password替换成对应的用户名和密码,B强制密码加密；b在命令中输入密码，不提示输入密码；n不更新密钥文件
docker run --entrypoint htpasswd registry -Bbn username password > auth/htpasswd
#启动registry容器
docker run -d -p 5000:5000 --restart=always --name localhost \
-v `pwd`/auth:/auth \
-e "REGISTRY_AUTH=htpasswd" \
-e "REGISTRY_AUTH_HTPASSWD_REALM=Registry Realm" \
-e REGISTRY_AUTH_HTPASSWD_PATH=/auth/htpasswd \
-v `pwd`/certs:/certs \
-e REGISTRY_HTTP_TLS_CERTIFICATE=/certs/registry.crt \
-e REGISTRY_HTTP_TLS_KEY=/certs/registry.key \
-v /opt/data/registry:/var/lib/registry \
-v /usr/local/docker/config.yml:/etc/docker/registry/config.yml registry
#如果不启用密码
docker run -d -p 5000:5000 --restart=always --name localhost \
-v `pwd`/etc/docker/certs:/certs \
-e REGISTRY_HTTP_TLS_CERTIFICATE=/etc/docker/certs/registry.crt \
-e REGISTRY_HTTP_TLS_KEY=/etc/docker/certs/registry.key \
-v /data/registry:/var/lib/registry \
-v /var/lib/docker/containers/config.yml:/etc/docker/registry/config.yml registry
#客户端侧
mkdir -p /etc/docker/certs.d/
#从私有仓库服务器将证书拷贝到client中， client不安装证书的话，进行pull/push操作，会出现x509: certificate signed by unknown authority的报错。
scp ......
#client重启Docker Daemon2.4、Docker内网客户端侧配置
1）修改docker配置文件（没有的新建即可）：/etc/docker/deamon.json，指定docker镜像加速结点为：上文建立的私有仓库的地址
bash
{
"insecure-registries":["172.1.18.9:5000"],
"registry-mirrors": [
"http://hub-mirror.c.163.com",
"https://docker.mirrors.ustc.edu.cn",
"https://cr.console.aliyun.com",
"https://hub.daocloud.io",
"https://5ufvppm7.mirror.aliyuncs.com",
"https://6iuzoxz4.mirror.aliyuncs.com",
"http://192.168.1.12:8080" #可只写这一项
]
}完成后，重启docker：systemctl restart docker
bash
docker info #验证，输出如下
Containers: 0
Running: 0
Paused: 0
Stopped: 0
Images: 0
Server Version: 18.09.0
Storage Driver: overlay2
Backing Filesystem: extfs
Supports d_type: true
Native Overlay Diff: true
Logging Driver: json-file
Cgroup Driver: cgroupfs
Hugetlb Pagesize: 2MB, 1GB, 2MB, 1GB (default is 2MB)
Plugins:
Volume: local
Network: bridge host macvlan null overlay
Log: awslogs fluentd gcplogs gelf journald json-file local logentries splunk syslog
Swarm: inactive
Runtimes: runc
Default Runtime: runc
Init Binary: docker-init
containerd version: 5dd35b83aeab1780082734b68e92a3991d3f8eee
runc version: 1f4c5ce0be8a1bfc8486bbcb7e84e92848366c93
init version: N/A (expected: )
Security Options:
seccomp
Profile: default
Kernel Version: 5.10.0-60.70.0.94.oe2203.bclinux.x86_64
Operating System: BigCloud Enterprise Linux For Euler 22.10 LTS
OSType: linux
Architecture: x86_64
CPUs: 4
Total Memory: 14.88GiB
Name: ygcg-manger206
ID: WTZ5:5RCE:ZOOP:7FPP:ZWCS:PY2F:P54Q:P5HP:W6MN:DRC3:2AM4:ATPX
Docker Root Dir: /var/lib/docker
Debug Mode (client): false
Debug Mode (server): false
Registry: https://index.docker.io/v1/
Labels:
Experimental: false
Insecure Registries:
172.1.18.9:5000
127.0.0.0/8
Registry Mirrors:
http://hub-mirror.c.163.com/
https://docker.mirrors.ustc.edu.cn/
https://cr.console.aliyun.com/
https://hub.daocloud.io/
https://5ufvppm7.mirror.aliyuncs.com/
Live Restore Enabled: true2）验证使用
目前无法再客户端使用 docker search host:5000/registry进行查询
bash
# 目前无法用docker search
#下面是一个网络示例，可列出私有仓库的镜像脚本
#!/usr/bin/env python
#-*- coding:utf-8 -*-
import requests
import json
import traceback
import sys
repo_ip = sys.argv[1]
repo_port = sys.argv[2]
def getImagesNames(repo_ip,repo_port):
docker_images = []
try:
url = "http://" + repo_ip + ":" + repo_port + "/v2/_catalog"
res =requests.get(url).content.strip()
res_dic = json.loads(res)
images_type = res_dic['repositories']
for i in images_type:
url2 = "http://" + repo_ip + ":" + repo_port +"/v2/" + str(i) + "/tags/list"
res2 =requests.get(url2).content.strip()
res_dic2 = json.loads(res2)
name = res_dic2['name']
tags = res_dic2['tags']
if tags != None:
for tag in tags:
docker_name = str(repo_ip) + ":" + repo_port + "/" + name + ":" + tag
docker_images.append(docker_name)
print(docker_name)
except:
traceback.print_exc()
return docker_images
getImagesNames(repo_ip, repo_port)
#shell脚本
#!/bin/bash
file=$(mktemp)
curl -s $1:5000/v2/_catalog | jq | egrep -v '\{|\}|\[|]' | awk -F\" '{print $2}' > $file
while read aa ; do
tag=($(curl -s $1:5000/v2/$aa/tags/list | jq | egrep -v '\{|\}|\[|]|name' | awk -F\" '{print $2}'))
for i in ${tag[*]} ; do
echo $1:5000/${aa}:$i
done
done < $file
rm -rf $file
#查看是，执行
python list_private_images.py ip:5000
#容器镜像删除后垃圾回收
docker exec -ti myhub sh
registry garbage-collect /etc/docker/registry/config.yml
#删除镜像仓库的脚本
#!/usr/bin/env python
"""
Usage:
Shut down your registry service to avoid race conditions and possible data loss
and then run the command with an image repo like this:
delete_docker_registry_image.py --image awesomeimage --dry-run
"""
import argparse
import json
import logging
import os
import sys
import shutil
import glob
logger = logging.getLogger(__name__)
def del_empty_dirs(s_dir, top_level):
"""recursively delete empty directories"""
b_empty = True
for s_target in os.listdir(s_dir):
s_path = os.path.join(s_dir, s_target)
if os.path.isdir(s_path):
if not del_empty_dirs(s_path, False):
b_empty = False
else:
b_empty = False
if b_empty:
logger.debug("Deleting empty directory '%s'", s_dir)
if not top_level:
os.rmdir(s_dir)
return b_empty
def get_layers_from_blob(path):
"""parse json blob and get set of layer digests"""
try:
with open(path, "r") as blob:
data_raw = blob.read()
data = json.loads(data_raw)
if data["schemaVersion"] == 1:
result = set([entry["blobSum"].split(":")[1] for entry in data["fsLayers"]])
else:
result = set([entry["digest"].split(":")[1] for entry in data["layers"]])
if "config" in data:
result.add(data["config"]["digest"].split(":")[1])
return result
except Exception as error:
logger.critical("Failed to read layers from blob:%s", error)
return set()
def get_digest_from_blob(path):
"""parse file and get digest"""
try:
with open(path, "r") as blob:
return blob.read().split(":")[1]
except Exception as error:
logger.critical("Failed to read digest from blob:%s", error)
return ""
def get_links(path, _filter=None):
"""recursively walk `path` and parse every link inside"""
result = []
for root, _, files in os.walk(path):
for each in files:
if each == "link":
filepath = os.path.join(root, each)
if not _filter or _filter in filepath:
result.append(get_digest_from_blob(filepath))
return result
class RegistryCleanerError(Exception):
pass
class RegistryCleaner(object):
"""Clean registry"""
def __init__(self, registry_data_dir, dry_run=False):
self.registry_data_dir = registry_data_dir
if not os.path.isdir(self.registry_data_dir):
raise RegistryCleanerError("No repositories directory found inside " \
"REGISTRY_DATA_DIR '{0}'.".
format(self.registry_data_dir))
self.dry_run = dry_run
def _delete_layer(self, repo, digest):
"""remove blob directory from filesystem"""
path = os.path.join(self.registry_data_dir, "repositories", repo, "_layers/sha256", digest)
self._delete_dir(path)
def _delete_blob(self, digest):
"""remove blob directory from filesystem"""
path = os.path.join(self.registry_data_dir, "blobs/sha256", digest[0:2], digest)
self._delete_dir(path)
def _blob_path_for_revision(self, digest):
"""where we can find the blob that contains the json describing this digest"""
return os.path.join(self.registry_data_dir, "blobs/sha256",
digest[0:2], digest, "data")
def _blob_path_for_revision_is_missing(self, digest):
"""for each revision, there should be a blob describing it"""
return not os.path.isfile(self._blob_path_for_revision(digest))
def _get_layers_from_blob(self, digest):
"""get layers from blob by digest"""
return get_layers_from_blob(self._blob_path_for_revision(digest))
def _delete_dir(self, path):
"""remove directory from filesystem"""
if self.dry_run:
logger.info("DRY_RUN: would have deleted %s", path)
else:
logger.info("Deleting %s", path)
try:
shutil.rmtree(path)
except Exception as error:
logger.critical("Failed to delete directory:%s", error)
def _delete_from_tag_index_for_revision(self, repo, digest):
"""delete revision from tag indexes"""
paths = glob.glob(
os.path.join(self.registry_data_dir, "repositories", repo,
"_manifests/tags/*/index/sha256", digest)
)
for path in paths:
self._delete_dir(path)
def _delete_revisions(self, repo, revisions, blobs_to_keep=None):
"""delete revisions from list of directories"""
if blobs_to_keep is None:
blobs_to_keep = []
for revision_dir in revisions:
digests = get_links(revision_dir)
for digest in digests:
self._delete_from_tag_index_for_revision(repo, digest)
if digest not in blobs_to_keep:
self._delete_blob(digest)
self._delete_dir(revision_dir)
def _get_tags(self, repo):
"""get all tags for given repository"""
path = os.path.join(self.registry_data_dir, "repositories", repo, "_manifests/tags")
if not os.path.isdir(path):
logger.critical("No repository '%s' found in repositories directory %s",
repo, self.registry_data_dir)
return None
result = []
for each in os.listdir(path):
filepath = os.path.join(path, each)
if os.path.isdir(filepath):
result.append(each)
return result
def _get_repositories(self):
"""get all repository repos"""
result = []
root = os.path.join(self.registry_data_dir, "repositories")
for each in os.listdir(root):
filepath = os.path.join(root, each)
if os.path.isdir(filepath):
inside = os.listdir(filepath)
if "_layers" in inside:
result.append(each)
else:
for inner in inside:
result.append(os.path.join(each, inner))
return result
def _get_all_links(self, except_repo=""):
"""get links for every repository"""
result = []
repositories = self._get_repositories()
for repo in [r for r in repositories if r != except_repo]:
path = os.path.join(self.registry_data_dir, "repositories", repo)
for link in get_links(path):
result.append(link)
return result
def prune(self):
"""delete all empty directories in registry_data_dir"""
del_empty_dirs(self.registry_data_dir, True)
def _layer_in_same_repo(self, repo, tag, layer):
"""check if layer is found in other tags of same repository"""
for other_tag in [t for t in self._get_tags(repo) if t != tag]:
path = os.path.join(self.registry_data_dir, "repositories", repo,
"_manifests/tags", other_tag, "current/link")
manifest = get_digest_from_blob(path)
try:
layers = self._get_layers_from_blob(manifest)
if layer in layers:
return True
except IOError:
if self._blob_path_for_revision_is_missing(manifest):
logger.warn("Blob for digest %s does not exist. Deleting tag manifest: %s", manifest, other_tag)
tag_dir = os.path.join(self.registry_data_dir, "repositories", repo,
"_manifests/tags", other_tag)
self._delete_dir(tag_dir)
else:
raise
return False
def _manifest_in_same_repo(self, repo, tag, manifest):
"""check if manifest is found in other tags of same repository"""
for other_tag in [t for t in self._get_tags(repo) if t != tag]:
path = os.path.join(self.registry_data_dir, "repositories", repo,
"_manifests/tags", other_tag, "current/link")
other_manifest = get_digest_from_blob(path)
if other_manifest == manifest:
return True
return False
def delete_entire_repository(self, repo):
"""delete all blobs for given repository repo"""
logger.debug("Deleting entire repository '%s'", repo)
repo_dir = os.path.join(self.registry_data_dir, "repositories", repo)
if not os.path.isdir(repo_dir):
raise RegistryCleanerError("No repository '{0}' found in repositories "
"directory {1}/repositories".
format(repo, self.registry_data_dir))
links = set(get_links(repo_dir))
all_links_but_current = set(self._get_all_links(except_repo=repo))
for layer in links:
if layer in all_links_but_current:
logger.debug("Blob found in another repository. Not deleting: %s", layer)
else:
self._delete_blob(layer)
self._delete_dir(repo_dir)
def delete_repository_tag(self, repo, tag):
"""delete all blobs only for given tag of repository"""
logger.debug("Deleting repository '%s' with tag '%s'", repo, tag)
tag_dir = os.path.join(self.registry_data_dir, "repositories", repo, "_manifests/tags", tag)
if not os.path.isdir(tag_dir):
raise RegistryCleanerError("No repository '{0}' tag '{1}' found in repositories "
"directory {2}/repositories".
format(repo, tag, self.registry_data_dir))
manifests_for_tag = set(get_links(tag_dir))
revisions_to_delete = []
blobs_to_keep = []
layers = []
all_links_not_in_current_repo = set(self._get_all_links(except_repo=repo))
for manifest in manifests_for_tag:
logger.debug("Looking up filesystem layers for manifest digest %s", manifest)
if self._manifest_in_same_repo(repo, tag, manifest):
logger.debug("Not deleting since we found another tag using manifest: %s", manifest)
continue
else:
revisions_to_delete.append(
os.path.join(self.registry_data_dir, "repositories", repo,
"_manifests/revisions/sha256", manifest)
)
if manifest in all_links_not_in_current_repo:
logger.debug("Not deleting the blob data since we found another repo using manifest: %s", manifest)
blobs_to_keep.append(manifest)
layers.extend(self._get_layers_from_blob(manifest))
layers_uniq = set(layers)
for layer in layers_uniq:
if self._layer_in_same_repo(repo, tag, layer):
logger.debug("Not deleting since we found another tag using digest: %s", layer)
continue
self._delete_layer(repo, layer)
if layer in all_links_not_in_current_repo:
logger.debug("Blob found in another repository. Not deleting: %s", layer)
else:
self._delete_blob(layer)
self._delete_revisions(repo, revisions_to_delete, blobs_to_keep)
self._delete_dir(tag_dir)
def delete_untagged(self, repo):
"""delete all untagged data from repo"""
logger.debug("Deleting utagged data from repository '%s'", repo)
repositories_dir = os.path.join(self.registry_data_dir, "repositories")
repo_dir = os.path.join(repositories_dir, repo)
if not os.path.isdir(repo_dir):
raise RegistryCleanerError("No repository '{0}' found in repositories "
"directory {1}/repositories".
format(repo, self.registry_data_dir))
tagged_links = set(get_links(repositories_dir, _filter="current"))
layers_to_protect = []
for link in tagged_links:
layers_to_protect.extend(self._get_layers_from_blob(link))
unique_layers_to_protect = set(layers_to_protect)
for layer in unique_layers_to_protect:
logger.debug("layer_to_protect: %s", layer)
tagged_revisions = set(get_links(repo_dir, _filter="current"))
revisions_to_delete = []
layers_to_delete = []
dir_for_revisions = os.path.join(repo_dir, "_manifests/revisions/sha256")
for rev in os.listdir(dir_for_revisions):
if rev not in tagged_revisions:
revisions_to_delete.append(os.path.join(dir_for_revisions, rev))
for layer in self._get_layers_from_blob(rev):
if layer not in unique_layers_to_protect:
layers_to_delete.append(layer)
unique_layers_to_delete = set(layers_to_delete)
self._delete_revisions(repo, revisions_to_delete)
for layer in unique_layers_to_delete:
self._delete_blob(layer)
self._delete_layer(repo, layer)
def get_tag_count(self, repo):
logger.debug("Get tag count of repository '%s'", repo)
repo_dir = os.path.join(self.registry_data_dir, "repositories", repo)
tags_dir = os.path.join(repo_dir, "_manifests/tags")
if os.path.isdir(tags_dir):
tags = os.listdir(tags_dir)
return len(tags)
else:
logger.info("Tags directory does not exist: '%s'", tags_dir)
return -1
def main():
"""cli entrypoint"""
parser = argparse.ArgumentParser(description="Cleanup docker registry")
parser.add_argument("-i", "--image",
dest="image",
required=True,
help="Docker image to cleanup")
parser.add_argument("-v", "--verbose",
dest="verbose",
action="store_true",
help="verbose")
parser.add_argument("-n", "--dry-run",
dest="dry_run",
action="store_true",
help="Dry run")
parser.add_argument("-f", "--force",
dest="force",
action="store_true",
help="Force delete (deprecated)")
parser.add_argument("-p", "--prune",
dest="prune",
action="store_true",
help="Prune")
parser.add_argument("-u", "--untagged",
dest="untagged",
action="store_true",
help="Delete all untagged blobs for image")
args = parser.parse_args()
handler = logging.StreamHandler()
handler.setFormatter(logging.Formatter(u'%(levelname)-8s [%(asctime)s] %(message)s'))
logger.addHandler(handler)
if args.verbose:
logger.setLevel(logging.DEBUG)
else:
logger.setLevel(logging.INFO)
# make sure not to log before logging is setup. that'll hose your logging config.
if args.force:
logger.info(
"You supplied the force switch, which is deprecated. It has no effect now, and the script defaults to doing what used to be only happen when force was true")
splitted = args.image.split(":")
if len(splitted) == 2:
image = splitted[0]
tag = splitted[1]
else:
image = args.image
tag = None
if 'REGISTRY_DATA_DIR' in os.environ:
registry_data_dir = os.environ['REGISTRY_DATA_DIR']
else:
registry_data_dir = "/opt/registry_data/docker/registry/v2"
try:
cleaner = RegistryCleaner(registry_data_dir, dry_run=args.dry_run)
if args.untagged:
cleaner.delete_untagged(image)
else:
if tag:
tag_count = cleaner.get_tag_count(image)
if tag_count == 1:
cleaner.delete_entire_repository(image)
else:
cleaner.delete_repository_tag(image, tag)
else:
cleaner.delete_entire_repository(image)
if args.prune:
cleaner.prune()
except RegistryCleanerError as error:
logger.fatal(error)
sys.exit(1)
if __name__ == "__main__":
main()
#删除执行
./delete_docker_registry_image -i localhost:5000/registry:latest3）也可再内网仓库上导出镜像为tar包然后复制到内网docker主机上使用
bash
docker save -o hello-world.tar hello-world #导出
#导入
docker load -i hello-world.tar三、附录
1）容器重启策略回顾
--restart=always重启策略：
no：默认策略，容器退出不重启
on-failure：容器非正常退出重启容器
on-failure：3：容器非正常退出最多重启4次容器
always：退出总是重启容器
unless-stopped：在容器退出时总是重启容器，但是不考虑在Docker守护进程启动时就已经停止了的容器
2）使用Harbor 构建私有仓库
Harbor 是 VMware 公司开源的企业级 Docker Registry 项目，其目标是帮助用户迅速搭建一个企业级的 Docker Registry 服务。Harbor以 Docker 公司开源的 Registry 为基础，提供了图形管理 UI 、基于角色的访问控制(Role Based AccessControl,RBAC) 、AD/LDAP 集成、以及审计日志(Auditlogging) 、管理界面、自我注册、镜像复制等企业用户需求的功能，同时还原生支持中文。更多参见：官网
Harbor 的每个组件都是以 Docker 容器的形式构建的，使用 docker-compose 来对它进行部署。用于部署 Harbor 的 docker-compose 模板位于 harbor/docker-compose.yml。
Harbor 在架构上主要有 Proxy、Registry、Core services、Database（Harbor-db）、Log collector（Harbor-log）、Job services 六个组件。
①Proxy: 是一个 nginx 的前端代理，Harbor 的 Registry、UI、Token 服务等组件，都处在 nginx 反向代理后边。 该代理将来自浏览器、docker clients 的请求转发到后端不同的服务上。
②Registry: 负责储存 Docker 镜像，并处理 Docker push/pull 命令。由于要对用户进行访问控制，即不同用户对 Docker 镜像 有不同的读写权限，Registry 会指向一个 Token 服务，强制用户的每次 Docker pull/push 请求都要携带一个合法的 Token， Registry 会通过公钥对 Token 进行解密验证。
③Core services: Harbor的核心功能，主要提供以下3个服务: 1）UI（harbor-ui）: 提供图形化界面，帮助用户管理 Registry 上的镜像（image）, 并对用户进行授权。 2）WebHook：为了及时获取Registry上image 状态变化的情况，在Registry 上配置 Webhook，把状态变化传递给 UI 模块。 3）Token 服务：负责根据用户权限给每个 Docker push/pull 命令签发 Token。Docker 客户端向 Registry 服务发起的请求， 如果不包含 Token，会被重定向到 Token 服务，获得 Token 后再重新向 Registry 进行请求。
④Database（harbor-db）：为core services提供数据库服务，负责储存用户权限、审计日志、Docker 镜像分组信息等数据。
⑤Job services: 主要用于镜像复制，本地镜像可以被同步到远程 Harbor 实例上。
⑥Log collector（harbor-log）: 负责收集其他组件的日志到一个地方。
Harbor的特性如下：
①、基于角色控制：用户和仓库都是基于项目进行组织的，而用户在项目中可以拥有不同的权限。
②、基于镜像的复制策略：镜像可以在多个Harbor实例之间进行复制（同步）。
③、支持 LDAP/AD：Harbor 可以集成企业内部已有的 AD/LDAP（类似数据库的一张表），用于对已经存在的用户认证和管理。
④、镜像删除和垃圾回收：镜像可以被删除，也可以回收镜像占用的空间。
⑤、图形化用户界面：用户可以通过浏览器来浏览，搜索镜像仓库以及对项目进行管理。
⑥、审计管理：所有针对镜像仓库的操作都可以被记录追溯，用于审计管理。
⑦、支持 RESTful API：RESTful API 提供给管理员对于 Harbor 更多的操控, 使得与其它管理软件集成变得更容易。
⑧、Harbor和docker registry的关系：Harbor实质上是对docker registry做了封装，扩展了自己的业务模板。