Dokcer使用總結（Dockerfile、Compose、Swarm）
Dokcer基礎
查看Linux版本html
uname -r
查看Linux詳盡信息node
cat /etc/*elease
CentOS Linux release 7.6.1810 (Core) NAME="CentOS Linux" VERSION="7 (Core)" ID="centos" ID_LIKE="rhel fedora" VERSION_ID="7" PRETTY_NAME="CentOS Linux 7 (Core)" ANSI_COLOR="0;31" CPE_NAME="cpe:/o:centos:centos:7" HOME_URL="https://www.centos.org/" BUG_REPORT_URL="https://bugs.centos.org/" CENTOS_MANTISBT_PROJECT="CentOS-7" CENTOS_MANTISBT_PROJECT_VERSION="7" REDHAT_SUPPORT_PRODUCT="centos" REDHAT_SUPPORT_PRODUCT_VERSION="7" CentOS Linux release 7.6.1810 (Core) CentOS Linux release 7.6.1810 (Core)
容器的五大隔離python
- pid：進程隔離
- net：網絡隔離 （獨有的ip地址，網關，子網掩碼）
- ipc：進程間交互隔離
- mnt：文件系統隔離
- uts：主機和域名隔離 （hostname，domainname）container 有本身的機器名
centos上安裝docker
官方地址：https://docs.docker.com/install/linux/docker-ce/centos/linux
- 卸載舊版本
sudo yum remove docker \ docker-client \ docker-client-latest \ docker-common \ docker-latest \ docker-latest-logrotate \ docker-logrotate \ docker-engine
- 安裝包環境
sudo yum install -y yum-utils \ device-mapper-persistent-data \ lvm2
- 設置倉儲地址
# 阿里雲 sudo yum-config-manager --add-repo https://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo # 官方 sudo yum-config-manager \ --add-repo \ https://download.docker.com/linux/centos/docker-ce.repo
- 安裝Docker-CE
sudo yum install docker-ce docker-ce-cli containerd.io
- 啓動Docker，運行開機自啓
systemctl start docker systemctl enable docker
Docker安裝位置
- 查找Docker可執行程序地址 /usr/bin/docker
find / -name docker
View Code/run/docker /sys/fs/cgroup/pids/docker /sys/fs/cgroup/cpuset/docker /sys/fs/cgroup/freezer/docker /sys/fs/cgroup/devices/docker /sys/fs/cgroup/blkio/docker /sys/fs/cgroup/perf_event/docker /sys/fs/cgroup/memory/docker /sys/fs/cgroup/net_cls,net_prio/docker /sys/fs/cgroup/hugetlb/docker /sys/fs/cgroup/cpu,cpuacct/docker /sys/fs/cgroup/systemd/docker /etc/docker /var/lib/docker /var/lib/docker/overlay2/ec5a827479e221461a396c7d0695226ec60b642544f2f921e2da967426b1853c/diff/docker /var/lib/docker/overlay2/cf92e8387d988e9f87dc3656bb21d3a2fefff02e3505e1d282c0d105cb703ab1/merged/docker /var/lib/docker/overlay2/df3551b1764d57ad79604ace4c1b75ab1e47cdca2fb6d526940af8b400eee4aa/diff/etc/dpkg/dpkg.cfg.d/docker /usr/bin/docker /usr/share/bash-completion/completions/docker /docker
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查找Docker服務端程序 /usr/bin/dockerd nginx
find / -name dockerd
View Code/etc/alternatives/dockerd /var/lib/alternatives/dockerd /usr/bin/dockerd
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lib + data： /var/lib/dockergit
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config： /etc/dockergithub
- 查找docker.service服務程序 /usr/lib/systemd/system/docker.service
find / -name docker.service
[root@localhost ~]# cat /usr/lib/systemd/system/docker.service [Unit] Description=Docker Application Container Engine Documentation=https://docs.docker.com BindsTo=containerd.service After=network-online.target firewalld.service containerd.service Wants=network-online.target Requires=docker.socket [Service] Type=notify # the default is not to use systemd for cgroups because the delegate issues still # exists and systemd currently does not support the cgroup feature set required # for containers run by docker ExecStart=/usr/bin/dockerd -H fd:// --containerd=/run/containerd/containerd.sock ExecReload=/bin/kill -s HUP $MAINPID TimeoutSec=0 RestartSec=2 Restart=always # Note that StartLimit* options were moved from "Service" to "Unit" in systemd 229. # Both the old, and new location are accepted by systemd 229 and up, so using the old location # to make them work for either version of systemd. StartLimitBurst=3 # Note that StartLimitInterval was renamed to StartLimitIntervalSec in systemd 230. # Both the old, and new name are accepted by systemd 230 and up, so using the old name to make # this option work for either version of systemd. StartLimitInterval=60s # Having non-zero Limit*s causes performance problems due to accounting overhead # in the kernel. We recommend using cgroups to do container-local accounting. LimitNOFILE=infinity LimitNPROC=infinity LimitCORE=infinity # Comment TasksMax if your systemd version does not supports it. # Only systemd 226 and above support this option. TasksMax=infinity # set delegate yes so that systemd does not reset the cgroups of docker containers Delegate=yes # kill only the docker process, not all processes in the cgroup KillMode=process [Install] WantedBy=multi-user.target
解讀dockerd配置文件
dockerd：https://docs.docker.com/engine/reference/commandline/dockerd/web
硬盤掛載
- 使用 fdisk -l 命令查看主機上的硬盤
fdisk -l
View Code[root@localhost ~]# fdisk -l Disk /dev/vda: 53.7 GB, 53687091200 bytes, 104857600 sectors Units = sectors of 1 * 512 = 512 bytes Sector size (logical/physical): 512 bytes / 512 bytes I/O size (minimum/optimal): 512 bytes / 512 bytes Disk label type: dos Disk identifier: 0x000b0ebb Device Boot Start End Blocks Id System /dev/vda1 * 2048 104856254 52427103+ 83 Linux Disk /dev/vdb: 536.9 GB, 536870912000 bytes, 1048576000 sectors Units = sectors of 1 * 512 = 512 bytes Sector size (logical/physical): 512 bytes / 512 bytes I/O size (minimum/optimal): 512 bytes / 512 bytes
- 使用mkfs.ext4命令把硬盤格式化
# mkfs.ext4 磁盤名稱 mkfs.ext4 /dev/vdb - 使用mount命令掛載磁盤
mount /dev/vdb /boot
- 輸入指令： df -h 查看當前磁盤的狀況
df -h
View Code[root@localhost ~]# df -h Filesystem Size Used Avail Use% Mounted on /dev/vda1 50G 7.4G 40G 16% / devtmpfs 7.8G 0 7.8G 0% /dev tmpfs 7.8G 0 7.8G 0% /dev/shm tmpfs 7.8G 592K 7.8G 1% /run tmpfs 7.8G 0 7.8G 0% /sys/fs/cgroup overlay 50G 7.4G 40G 16% /var/lib/docker/overlay2/c76fb87ef4c263e24c7f6874121fb161ce9b22db572db66ff1992ca6daf5768b/merged shm 64M 0 64M 0% /var/lib/docker/containers/afe151311ee560e63904e3e9d3c1053b8bbb6fd5e3b2d4c74001091b132fe3bd/mounts/shm overlay 50G 7.4G 40G 16% /var/lib/docker/overlay2/5ca6ed8e1671cb590705f53f89af8f8f5b85a6cdfc8137b3e12e4fec6c76fcea/merged shm 64M 4.0K 64M 1% /var/lib/docker/containers/79427c180de09f78e33974278043736fca80b724db8b9bce42e44656d04823b3/mounts/shm tmpfs 1.6G 0 1.6G 0% /run/user/0 /dev/vdb 493G 73M 467G 1% /boot
- 用 blkid 獲取磁盤的uuid和屬性
[root@localhost ~]# blkid /dev/vda1: UUID="105fa8ff-bacd-491f-a6d0-f99865afc3d6" TYPE="ext4" /dev/vdb: UUID="97a17b64-d025-478c-8981-105214e99ff4" TYPE="ext4"
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設置開機自動mountredis
vim /etc/fstab UUID=97a17b64-d025-478c-8981-105214e99ff4 /data ext4 defaults 1 1
修改docker存儲位置
- 建立或修改docker配置文件
# 建立或修改docker配置文件 vim /etc/docker/daemon.json { "data-root": "/data/docker" }
- 建立docker數據存儲文件夾
# 建立docker數據存儲文件夾 mkdir /data mkdir /data/docker
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中止Dockerdocker
# 中止Docker service docker stop - 拷貝存儲文件
# 拷貝存儲文件 cp -r /var/lib/docker/* /data/docker/
- 刪除源文件
# 刪除源文件(不建議先刪除，後面沒問題了再刪除) # rm -rf /var/lib/docker/
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驗證docker數據存儲位置是否改變
注意：最好在docker剛安裝完就執行切換數據目錄，否則等容器運行起來后里面的一些volume會仍是使用的原來的# 驗證docker數據存儲位置是否改變 docker info
鏡像加速器
sudo mkdir -p /etc/docker vim /etc/docker/daemon.json { "registry-mirrors": ["https://uwxsp1y1.mirror.aliyuncs.com"], "data-root": "/data/docker" } sudo systemctl daemon-reload sudo systemctl restart docker
查看系統日誌
# 修改配置信息 vim /etc/docker/daemon.json { "registry-mirrors": ["https://uwxsp1y1.mirror.aliyuncs.com"], "data-root": "/data/docker", "debug":true } # journalctl 統一查看service全部的日誌。 journalctl -u docker.service -f
遠程鏈接docker deamon
- 修改docker.service啓動信息
# 修改docker.service啓動信息 vim /usr/lib/systemd/system/docker.service# ExecStart=/usr/bin/dockerd -H fd:// --containerd=/run/containerd/containerd.sock ExecStart=/usr/bin/dockerd --containerd=/run/containerd/containerd.sock
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修改daemon.json
#修改daemon.json vim /etc/docker/daemon.json { "registry-mirrors": ["https://uwxsp1y1.mirror.aliyuncs.com"], "data-root": "/data/docker", "debug":true, "hosts": ["192.168.103.240:6381","unix:///var/run/docker.sock"] }
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重載、重啓
# 重載、重啓 sudo systemctl daemon-reload service docker restart
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查看端口
# 查看端口 netstat -tlnp [root@localhost docker]# netstat -tlnp Active Internet connections (only servers) Proto Recv-Q Send-Q Local Address Foreign Address State PID/Program name tcp 0 0 192.168.103.240:6381 0.0.0.0:* LISTEN 27825/dockerd tcp 0 0 0.0.0.0:111 0.0.0.0:* LISTEN 1/systemd tcp 0 0 192.168.122.1:53 0.0.0.0:* LISTEN 3743/dnsmasq tcp 0 0 0.0.0.0:22 0.0.0.0:* LISTEN 3122/sshd tcp 0 0 127.0.0.1:631 0.0.0.0:* LISTEN 3109/cupsd tcp 0 0 127.0.0.1:25 0.0.0.0:* LISTEN 3479/master tcp 0 0 127.0.0.1:6010 0.0.0.0:* LISTEN 14503/sshd: root@pt tcp6 0 0 :::111 :::* LISTEN 1/systemd tcp6 0 0 :::22 :::* LISTEN 3122/sshd tcp6 0 0 ::1:631 :::* LISTEN 3109/cupsd tcp6 0 0 ::1:25 :::* LISTEN 3479/master tcp6 0 0 ::1:6010 :::* LISTEN 14503/sshd: root@pt
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遠程鏈接測試
# 遠程鏈接測試 docker -H 192.168.103.240:6381 ps
容器基礎
docker container 中經常使用操控命令
docker run --help
[root@localhost ~]# docker run --help Usage: docker run [OPTIONS] IMAGE [COMMAND] [ARG...] Run a command in a new container Options: --add-host list Add a custom host-to-IP mapping (host:ip) -a, --attach list Attach to STDIN, STDOUT or STDERR --blkio-weight uint16 Block IO (relative weight), between 10 and 1000, or 0 to disable (default 0) --blkio-weight-device list Block IO weight (relative device weight) (default []) --cap-add list Add Linux capabilities --cap-drop list Drop Linux capabilities --cgroup-parent string Optional parent cgroup for the container --cidfile string Write the container ID to the file --cpu-period int Limit CPU CFS (Completely Fair Scheduler) period --cpu-quota int Limit CPU CFS (Completely Fair Scheduler) quota --cpu-rt-period int Limit CPU real-time period in microseconds --cpu-rt-runtime int Limit CPU real-time runtime in microseconds -c, --cpu-shares int CPU shares (relative weight) --cpus decimal Number of CPUs --cpuset-cpus string CPUs in which to allow execution (0-3, 0,1) --cpuset-mems string MEMs in which to allow execution (0-3, 0,1) -d, --detach Run container in background and print container ID --detach-keys string Override the key sequence for detaching a container --device list Add a host device to the container --device-cgroup-rule list Add a rule to the cgroup allowed devices list --device-read-bps list Limit read rate (bytes per second) from a device (default []) --device-read-iops list Limit read rate (IO per second) from a device (default []) --device-write-bps list Limit write rate (bytes per second) to a device (default []) --device-write-iops list Limit write rate (IO per second) to a device (default []) --disable-content-trust Skip image verification (default true) --dns list Set custom DNS servers --dns-option list Set DNS options --dns-search list Set custom DNS search domains --entrypoint string Overwrite the default ENTRYPOINT of the image -e, --env list Set environment variables --env-file list Read in a file of environment variables --expose list Expose a port or a range of ports --group-add list Add additional groups to join --health-cmd string Command to run to check health --health-interval duration Time between running the check (ms|s|m|h) (default 0s) --health-retries int Consecutive failures needed to report unhealthy --health-start-period duration Start period for the container to initialize before starting health-retries countdown (ms|s|m|h) (default 0s) --health-timeout duration Maximum time to allow one check to run (ms|s|m|h) (default 0s) --help Print usage -h, --hostname string Container host name --init Run an init inside the container that forwards signals and reaps processes -i, --interactive Keep STDIN open even if not attached --ip string IPv4 address (e.g., 172.30.100.104) --ip6 string IPv6 address (e.g., 2001:db8::33) --ipc string IPC mode to use --isolation string Container isolation technology --kernel-memory bytes Kernel memory limit -l, --label list Set meta data on a container --label-file list Read in a line delimited file of labels --link list Add link to another container --link-local-ip list Container IPv4/IPv6 link-local addresses --log-driver string Logging driver for the container --log-opt list Log driver options --mac-address string Container MAC address (e.g., 92:d0:c6:0a:29:33) -m, --memory bytes Memory limit --memory-reservation bytes Memory soft limit --memory-swap bytes Swap limit equal to memory plus swap: '-1' to enable unlimited swap --memory-swappiness int Tune container memory swappiness (0 to 100) (default -1) --mount mount Attach a filesystem mount to the container --name string Assign a name to the container --network string Connect a container to a network (default "default") --network-alias list Add network-scoped alias for the container --no-healthcheck Disable any container-specified HEALTHCHECK --oom-kill-disable Disable OOM Killer --oom-score-adj int Tune host's OOM preferences (-1000 to 1000) --pid string PID namespace to use --pids-limit int Tune container pids limit (set -1 for unlimited) --privileged Give extended privileges to this container -p, --publish list Publish a container's port(s) to the host -P, --publish-all Publish all exposed ports to random ports --read-only Mount the container's root filesystem as read only --restart string Restart policy to apply when a container exits (default "no") --rm Automatically remove the container when it exits --runtime string Runtime to use for this container --security-opt list Security Options --shm-size bytes Size of /dev/shm --sig-proxy Proxy received signals to the process (default true) --stop-signal string Signal to stop a container (default "SIGTERM") --stop-timeout int Timeout (in seconds) to stop a container --storage-opt list Storage driver options for the container --sysctl map Sysctl options (default map[]) --tmpfs list Mount a tmpfs directory -t, --tty Allocate a pseudo-TTY --ulimit ulimit Ulimit options (default []) -u, --user string Username or UID (format: <name|uid>[:<group|gid>]) --userns string User namespace to use --uts string UTS namespace to use -v, --volume list Bind mount a volume --volume-driver string Optional volume driver for the container --volumes-from list Mount volumes from the specified container(s) -w, --workdir string Working directory inside the container
docker run,docker exec
run可讓容器從鏡像中實例化出來，實例化過程當中能夠塞入不少參數
Usage: docker run [OPTIONS] IMAGE [COMMAND] [ARG...]
docker run -d --name some-redis redis 外界沒法訪問，由於是網絡隔離，默認bridge模式。
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-a stdin: 指定標準輸入輸出內容類型，可選 STDIN/STDOUT/STDERR 三項；
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-d: 後臺運行容器，並返回容器ID；
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-i: 以交互模式運行容器，一般與 -t 同時使用；
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-P: 隨機端口映射，容器內部端口隨機映射到主機的高端口
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-p: 指定端口映射，格式爲：主機(宿主)端口:容器端口
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-t: 爲容器從新分配一個僞輸入終端，一般與 -i 同時使用；
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--name="nginx-lb": 爲容器指定一個名稱；
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--dns 8.8.8.8: 指定容器使用的DNS服務器，默認和宿主一致；
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--dns-search example.com: 指定容器DNS搜索域名，默認和宿主一致；
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-h "mars": 指定容器的hostname；
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-e username="ritchie": 設置環境變量；
# 設置東八區 docker run -e TZ=Asia/Shanghai -d --name some-redis redis -
--env-file=[]: 從指定文件讀入環境變量；
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--cpuset="0-2" or --cpuset="0,1,2": 綁定容器到指定CPU運行；
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-m :設置容器使用內存最大值；
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--net="bridge": 指定容器的網絡鏈接類型，支持 bridge/host/none/container:<name|id> 四種類型；
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--link=[]: 添加連接到另外一個容器；
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--expose=[]: 開放一個端口或一組端口；
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--volume , -v: 綁定一個卷
docker run -p 16379:6379 -d --name some-redis redis
- --add-host: 添加自定義ip
# 場景：consul作健康檢查的時候，須要宿主機的ip地址 docker run --add-host machineip:192.168.103.240 -d --name some-redis redis docker exec -it some-redis bash tail /etc/hosts
docker start,docker stop, docker kill
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docker start :啓動一個或多個已經被中止的容器
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docker stop :中止一個運行中的容器
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docker restart :重啓容器
- docker kill :殺掉一個運行中的容器。
batch delete 容器
docker rm -f docker rm -f `docker ps -a -q` docker containers prune
# 極其強大的刪除清理方式，慎重使用
# docker system prune
docker container 狀態監控命令
查看容器日誌
docker logs
[root@localhost ~]# docker logs some-redis 1:C 09 Jul 2019 03:07:03.406 # oO0OoO0OoO0Oo Redis is starting oO0OoO0OoO0Oo 1:C 09 Jul 2019 03:07:03.406 # Redis version=5.0.5, bits=64, commit=00000000, modified=0, pid=1, just started 1:C 09 Jul 2019 03:07:03.406 # Warning: no config file specified, using the default config. In order to specify a config file use redis-server /path/to/redis.conf 1:M 09 Jul 2019 03:07:03.406 * Running mode=standalone, port=6379. 1:M 09 Jul 2019 03:07:03.406 # WARNING: The TCP backlog setting of 511 cannot be enforced because /proc/sys/net/core/somaxconn is set to the lower value of 128. 1:M 09 Jul 2019 03:07:03.406 # Server initialized 1:M 09 Jul 2019 03:07:03.406 # WARNING overcommit_memory is set to 0! Background save may fail under low memory condition. To fix this issue add 'vm.overcommit_memory = 1' to /etc/sysctl.conf and then reboot or run the command 'sysctl vm.overcommit_memory=1' for this to take effect. 1:M 09 Jul 2019 03:07:03.406 # WARNING you have Transparent Huge Pages (THP) support enabled in your kernel. This will create latency and memory usage issues with Redis. To fix this issue run the command 'echo never > /sys/kernel/mm/transparent_hugepage/enabled' as root, and add it to your /etc/rc.local in order to retain the setting after a reboot. Redis must be restarted after THP is disabled. 1:M 09 Jul 2019 03:07:03.406 * Ready to accept connections
容器性能指標
docker stats
[root@localhost ~]# docker stats CONTAINER ID NAME CPU % MEM USAGE / LIMIT MEM % NET I/O BLOCK I/O PIDS aaa8bec01038 some-redis 0.04% 8.375MiB / 1.795GiB 0.46% 656B / 0B 139kB / 0B 4
容器 -> 宿主機端口
查詢port映射關係
知道容器的端口，不知道宿主機的端口。。。
不知道容器的端口，知道宿主機的端口。。。
docker port [container]
[root@localhost ~]# docker port some-redis-2 6379/tcp -> 0.0.0.0:16379
查看容器內運行的進程
docker top [container]
[root@localhost ~]# docker top some-redis-2 UID PID PPID C STIME TTY TIME CMD polkitd 18356 18338 0 13:20 pts/0 00:00:00 redis-server *:6379
容器的詳細信息
docker inspect [OPTIONS] NAME|ID [NAME|ID...]
[root@localhost ~]# docker inspect some-redis-2 [ { "Id": "6248c674f0672620d0cd8fd4a573c0db48f5f7c75b61fbd5150072eaac6ed4b2", "Created": "2019-07-09T05:20:06.985445479Z", "Path": "docker-entrypoint.sh", "Args": [ "redis-server" ], "State": { "Status": "running", "Running": true, "Paused": false, "Restarting": false, "OOMKilled": false, "Dead": false, "Pid": 18356, "ExitCode": 0, "Error": "", "StartedAt": "2019-07-09T05:20:07.255368955Z", "FinishedAt": "0001-01-01T00:00:00Z" }, "Image": "sha256:bb0ab8a99fe694e832e56e15567c83dee4dcfdd321d0ad8ab9bd64d82d6a6bfb", "ResolvConfPath": "/data/docker/containers/6248c674f0672620d0cd8fd4a573c0db48f5f7c75b61fbd5150072eaac6ed4b2/resolv.conf", "HostnamePath": "/data/docker/containers/6248c674f0672620d0cd8fd4a573c0db48f5f7c75b61fbd5150072eaac6ed4b2/hostname", "HostsPath": "/data/docker/containers/6248c674f0672620d0cd8fd4a573c0db48f5f7c75b61fbd5150072eaac6ed4b2/hosts", "LogPath": "/data/docker/containers/6248c674f0672620d0cd8fd4a573c0db48f5f7c75b61fbd5150072eaac6ed4b2/6248c674f0672620d0cd8fd4a573c0db48f5f7c75b61fbd5150072eaac6ed4b2-json.log", "Name": "/some-redis-2", "RestartCount": 0, "Driver": "overlay2", "Platform": "linux", "MountLabel": "", "ProcessLabel": "", "AppArmorProfile": "", "ExecIDs": null, "HostConfig": { "Binds": null, "ContainerIDFile": "", "LogConfig": { "Type": "json-file", "Config": {} }, "NetworkMode": "default", "PortBindings": { "6379/tcp": [ { "HostIp": "", "HostPort": "16379" } ] }, "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": "/data/docker/overlay2/c7693e58e45a483a6cb66deac7d281a647a56e3c9043722f3379a5dd496646d7-init/diff:/data/docker/overlay2/d26d3067261173cfa34d57bbdc3371b164805203ff05a2d71ce868ddc5b5a2bc/diff:/data/docker/overlay2/6a35d92d8841364ee7443a84e18b42c22f60294a748f552ad4a0852507236c7f/diff:/data/docker/overlay2/5ed2ceb6771535d14cd64f375cc31462a82ff57503bbc3abace0589be3124955/diff:/data/docker/overlay2/9543ee1ade1f2d4341c00cadef3ec384eb3761c35d10726cc6ade4a3bfb99be2/diff:/data/docker/overlay2/86f47cf021b01ddec50356ae4c5387b910f65f75f97298de089336b4a413ce25/diff:/data/docker/overlay2/df3551b1764d57ad79604ace4c1b75ab1e47cdca2fb6d526940af8b400eee4aa/diff", "MergedDir": "/data/docker/overlay2/c7693e58e45a483a6cb66deac7d281a647a56e3c9043722f3379a5dd496646d7/merged", "UpperDir": "/data/docker/overlay2/c7693e58e45a483a6cb66deac7d281a647a56e3c9043722f3379a5dd496646d7/diff", "WorkDir": "/data/docker/overlay2/c7693e58e45a483a6cb66deac7d281a647a56e3c9043722f3379a5dd496646d7/work" }, "Name": "overlay2" }, "Mounts": [ { "Type": "volume", "Name": "88f774ae0567f3e3f834a9f469c0db377be8948b82d05ee757e6eabe185903e6", "Source": "/data/docker/volumes/88f774ae0567f3e3f834a9f469c0db377be8948b82d05ee757e6eabe185903e6/_data", "Destination": "/data", "Driver": "local", "Mode": "", "RW": true, "Propagation": "" } ], "Config": { "Hostname": "6248c674f067", "Domainname": "", "User": "", "AttachStdin": true, "AttachStdout": true, "AttachStderr": true, "ExposedPorts": { "6379/tcp": {} }, "Tty": true, "OpenStdin": true, "StdinOnce": true, "Env": [ "PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin", "GOSU_VERSION=1.10", "REDIS_VERSION=5.0.5", "REDIS_DOWNLOAD_URL=http://download.redis.io/releases/redis-5.0.5.tar.gz", "REDIS_DOWNLOAD_SHA=2139009799d21d8ff94fc40b7f36ac46699b9e1254086299f8d3b223ca54a375" ], "Cmd": [ "redis-server" ], "ArgsEscaped": true, "Image": "redis", "Volumes": { "/data": {} }, "WorkingDir": "/data", "Entrypoint": [ "docker-entrypoint.sh" ], "OnBuild": null, "Labels": {} }, "NetworkSettings": { "Bridge": "", "SandboxID": "31f5b2c1c0d59c3f8866fa2b02db2889e4d4d54076cbf88ae7d6057758b3f40a", "HairpinMode": false, "LinkLocalIPv6Address": "", "LinkLocalIPv6PrefixLen": 0, "Ports": { "6379/tcp": [ { "HostIp": "0.0.0.0", "HostPort": "16379" } ] }, "SandboxKey": "/var/run/docker/netns/31f5b2c1c0d5", "SecondaryIPAddresses": null, "SecondaryIPv6Addresses": null, "EndpointID": "ab4f1a16403dfd415703868b52b33ea0b6d9d28b750e5ce80810d0f9b89f4af1", "Gateway": "172.17.0.1", "GlobalIPv6Address": "", "GlobalIPv6PrefixLen": 0, "IPAddress": "172.17.0.3", "IPPrefixLen": 16, "IPv6Gateway": "", "MacAddress": "02:42:ac:11:00:03", "Networks": { "bridge": { "IPAMConfig": null, "Links": null, "Aliases": null, "NetworkID": "80fba7499001738402fe35f0c1bb758ddd5f680abf75f4bd6a0456b3021ee5fe", "EndpointID": "ab4f1a16403dfd415703868b52b33ea0b6d9d28b750e5ce80810d0f9b89f4af1", "Gateway": "172.17.0.1", "IPAddress": "172.17.0.3", "IPPrefixLen": 16, "IPv6Gateway": "", "GlobalIPv6Address": "", "GlobalIPv6PrefixLen": 0, "MacAddress": "02:42:ac:11:00:03", "DriverOpts": null } } } } ]
容器的導入導出
- docker export :將文件系統做爲一個tar歸檔文件導出到STDOUT。
docker export [OPTIONS] CONTAINER # OPTIONS說明： # -o :將輸入內容寫到文件。 # PS： # docker export -o /app2/1.tar.gz some-redis
-
docker import : 從歸檔文件中建立鏡像。
docker import [OPTIONS] file|URL|- [REPOSITORY[:TAG]] # OPTIONS說明： # -c :應用docker 指令建立鏡像； # -m :提交時的說明文字； # PS： # 還原鏡像 # docker import /app2/1.tar.gz newredis # 建立容器並運行redis-server啓動命令 # docker run -d --name new-some-redis-2 newredis redis-server
docker images命令詳解
docker image
[root@localhost app2]# docker image Usage: docker image COMMAND Manage images Commands: build Build an image from a Dockerfile history Show the history of an image import Import the contents from a tarball to create a filesystem image inspect Display detailed information on one or more images load Load an image from a tar archive or STDIN ls List images prune Remove unused images pull Pull an image or a repository from a registry push Push an image or a repository to a registry rm Remove one or more images save Save one or more images to a tar archive (streamed to STDOUT by default) tag Create a tag TARGET_IMAGE that refers to SOURCE_IMAGE Run 'docker image COMMAND --help' for more information on a command.
鏡像的獲取，刪除，查看
- docker pull : 從鏡像倉庫中拉取或者更新指定鏡像
docker pull [OPTIONS] NAME[:TAG|@DIGEST] # OPTIONS說明： # -a :拉取全部 tagged 鏡像 # --disable-content-trust :忽略鏡像的校驗,默認開啓
- docker rmi : 刪除本地一個或多少鏡像。
docker rmi [OPTIONS] IMAGE [IMAGE...] # OPTIONS說明： # -f :強制刪除； # --no-prune :不移除該鏡像的過程鏡像，默認移除；
- docker inspect : 獲取容器/鏡像的元數據。
docker inspect [OPTIONS] NAME|ID [NAME|ID...] # OPTIONS說明： # -f :指定返回值的模板文件。 # -s :顯示總的文件大小。 # --type :爲指定類型返回JSON。
- docker images : 列出本地鏡像。
docker images [OPTIONS] [REPOSITORY[:TAG]] # OPTIONS說明： # -a :列出本地全部的鏡像（含中間映像層，默認狀況下，過濾掉中間映像層）； # --digests :顯示鏡像的摘要信息； # -f :顯示知足條件的鏡像； # --format :指定返回值的模板文件； # --no-trunc :顯示完整的鏡像信息； # -q :只顯示鏡像ID。
鏡像的導入導出，遷移
docker export/import 對容器進行打包
docker save / load 對鏡像進行打包
- docker save : 將指定鏡像保存成 tar 歸檔文件。
docker save [OPTIONS] IMAGE [IMAGE...] # OPTIONS 說明： # -o :輸出到的文件。 # PS: # docker save -o /app2/1.tar.gz redis
- docker load : 導入使用 docker save 命令導出的鏡像。
docker load [OPTIONS] # OPTIONS 說明： # -i :指定導出的文件。 # -q :精簡輸出信息。 # PS: # docker load -i /app2/1.tar.gz
docker tag
打標籤的目的，方便我上傳到本身的私有倉庫
- docker tag : 標記本地鏡像，將其納入某一倉庫。
docker tag [OPTIONS] IMAGE[:TAG] [REGISTRYHOST/][USERNAME/]NAME[:TAG] # PS: # docker tag redis:latest 13057686866/redis_1 # 登陸 # docker login # 推送到遠程私有倉庫 # docker push 13057686866/redis_1
手工構建
- docker build 命令用於使用 Dockerfile 建立鏡像。
docker build [OPTIONS] PATH | URL | - # OPTIONS說明： # --build-arg=[] :設置鏡像建立時的變量； # --cpu-shares :設置 cpu 使用權重； # --cpu-period :限制 CPU CFS週期； # --cpu-quota :限制 CPU CFS配額； # --cpuset-cpus :指定使用的CPU id； # --cpuset-mems :指定使用的內存 id； # --disable-content-trust :忽略校驗，默認開啓； # -f :指定要使用的Dockerfile路徑； # --force-rm :設置鏡像過程當中刪除中間容器； # --isolation :使用容器隔離技術； # --label=[] :設置鏡像使用的元數據； # -m :設置內存最大值； # --memory-swap :設置Swap的最大值爲內存+swap，"-1"表示不限swap； # --no-cache :建立鏡像的過程不使用緩存； # --pull :嘗試去更新鏡像的新版本； # --quiet, -q :安靜模式，成功後只輸出鏡像 ID； # --rm :設置鏡像成功後刪除中間容器； # --shm-size :設置/dev/shm的大小，默認值是64M； # --ulimit :Ulimit配置。 # --tag, -t: 鏡像的名字及標籤，一般 name:tag 或者 name 格式；能夠在一次構建中爲一個鏡像設置多個標籤。 # --network: 默認 default。在構建期間設置RUN指令的網絡模式
dockerfile
docker build本身動手構建鏡像
官方文檔：https://docs.docker.com/engine/reference/builder/
dockerfile參數
-
FROM
-
ENV
-
RUN
-
CMD
-
LABEL
-
EXPOSE
-
ADD
不只能夠copy文件，還能夠下載遠程文件。。。
若是是本地的zip包，還能自動解壓。 -
COPY
-
ENTRYPOINT
-
VOLUME
-
USER
-
WORKDIR
-
ONBUILD
-
STOPSIGNAL
-
HEALTHCHECK
- 新建項目 WebApplication1 空項目便可
- 新建 Dockerfile 配置文件
# 1-有了基礎鏡像 FROM mcr.microsoft.com/dotnet/core/sdk:2.2 # 2-把個人文件拷貝到這個操做系統中的/app文件夾中 COPY . /app # 工做目錄 WORKDIR /app # 3-publish RUN cd /app && dotnet publish "WebApplication1.csproj" -c Release -o /work # 4-告訴外界個人app暴露的是80端口 EXPOSE 80 # else ENV TZ Asia/Shanghai ENV ASPNETCORE_ENVIRONMENT Production # 做者信息 LABEL version="1.0" LABEL author="wyt" # 執行角色 USER root # 設置工做目錄 WORKDIR /work # 4-啓動 CMD ["dotnet","WebApplication1.dll"]
-
將 WebApplication1 整個目錄拷貝到遠程服務器下
-
構建鏡像
cd /app/WebApplication1 docker build -t 13057686866/webapp:v1 .
-
運行容器
docker run -d -p 18000:80 --name webapp3 13057686866/webapp:v1
-
運行成功
curl http://192.168.103.240:18000/ Hello World!
Dockerfile優化策略
使用 .dockerignore 忽略文件
官方地址：https://docs.docker.com/engine/reference/builder/#dockerignore-file
**/.dockerignore **/.env **/.git **/.gitignore **/.vs **/.vscode **/*.*proj.user **/azds.yaml **/charts **/bin **/obj **/Dockerfile **/Dockerfile.develop **/docker-compose.yml **/docker-compose.*.yml **/*.dbmdl **/*.jfm **/secrets.dev.yaml **/values.dev.yaml **/.toolstarget
咱們徹底可使用VS來建立Dockerfile，會自動生成 .dockerignore
使用多階段構建
多階段構建：一個From一個階段
dockerfile中只有最後一個From是生效的，其餘的from只是給最後一個from打輔助。。。
當最後一個from生成完畢的時候，其餘的from都會自動銷燬。。。
FROM build AS publish 給當前的鏡像取一個別名。。
FROM mcr.microsoft.com/dotnet/core/aspnet:2.2 AS base WORKDIR /app EXPOSE 80 FROM mcr.microsoft.com/dotnet/core/sdk:2.2 AS build WORKDIR /src COPY ["WebApplication1.csproj", ""] RUN dotnet restore "WebApplication1.csproj" COPY . . WORKDIR "/src/" RUN dotnet build "WebApplication1.csproj" -c Release -o /app FROM build AS publish RUN dotnet publish "WebApplication1.csproj" -c Release -o /app FROM base AS final WORKDIR /app COPY --from=publish /app . ENTRYPOINT ["dotnet", "WebApplication1.dll"]
及時移除沒必要須的包
# 3-publish RUN cd /app && dotnet publish "WebApplication1.csproj" -c Release -o /work && rm -rf /app
最小化層的個數
- 可參考官方dockerfile
- ADD 和 COPY,ADD 會增長 layer的個數。
- RUN儘量合併
搭建本身的私有registry倉庫
官網介紹：https://docs.docker.com/registry/deploying/
搭建本身內網倉庫，能夠加速
- 拉取本地倉庫鏡像
docker pull registry:2 -
運行本地倉庫容器
# 運行本地倉庫容器 docker run -d -p 5000:5000 --restart=always --name registry registry:2
- 拉取alpine鏡像
# 拉取alpine鏡像 docker pull alpine - 重命名標籤，指向本地倉庫
# 重命名標籤，指向本地倉庫 docker tag alpine 192.168.103.240:5000/alpine:s1
- 遠程推送到本地倉庫
# 遠程推送到本地倉庫 docker push 192.168.103.240:5000/alpine:s1
故障：http: server gave HTTP response to HTTPS client（https client 不接受 http response）
解決辦法： https://docs.docker.com/registry/insecure/# 編輯該daemon.json文件，其默認位置 /etc/docker/daemon.json在Linux或 C:\ProgramData\docker\config\daemon.jsonWindows Server上。若是您使用Docker Desktop for Mac或Docker Desktop for Windows，請單擊Docker圖標，選擇 Preferences，而後選擇+ Daemon。 # 若是該daemon.json文件不存在，請建立它。假設文件中沒有其餘設置，則應具備如下內容： { "insecure-registries" : ["192.168.103.240:5000"] } # 將不安全註冊表的地址替換爲示例中的地址。 # 啓用了不安全的註冊表後，Docker將執行如下步驟： # 1-首先，嘗試使用HTTPS。 # 2-若是HTTPS可用但證書無效，請忽略有關證書的錯誤。 # 3-若是HTTPS不可用，請回退到HTTP。 # 從新啓動Docker以使更改生效。 service docker restart
- 驗證鏡像是否推送成功
docker pull 192.168.103.240:5000/alpine:s1
- 拉取開源registry UI鏡像
官方地址：https://hub.docker.com/r/joxit/docker-registry-ui
# 拉取registry-ui鏡像 docker pull joxit/docker-registry-ui - 設置容許repositry跨域
# 設置容許跨域https://docs.docker.com/registry/configuration/ # 複製文件到本地 docker cp registry:/etc/docker/registry/config.yml /app # 修改配置文件，添加跨域 vim /etc/docker/registry/config.yml version: 0.1 log: fields: service: registry storage: cache: blobdescriptor: inmemory filesystem: rootdirectory: /var/lib/registry http: addr: :5000 headers: X-Content-Type-Options: [nosniff] Access-Control-Allow-Origin: ['*'] Access-Control-Allow-Methods: ['*'] Access-Control-Max-Age: [1728000] health: storagedriver: enabled: true interval: 10s threshold: 3 # 從新啓動registry容器 docker rm registry -f docker run -d -p 5000:5000 --restart=always --name registry -v /app/config.yml:/etc/docker/registry/config.yml registry:2
- 運行registry-ui容器
# 運行容器 docker rm -f registry-ui docker run -d -p 8002:80 --name registry-ui joxit/docker-registry-ui
- 訪問可視化容器
使用阿里雲鏡像存儲服務
官方地址：https://cr.console.aliyun.com/cn-hangzhou/instances/repositories
接入操做：
-
登陸阿里雲Docker Registry
sudo docker login --username=tb5228628_2012 registry.cn-hangzhou.aliyuncs.com
用於登陸的用戶名爲阿里雲帳號全名，密碼爲開通服務時設置的密碼。
-
從Registry中拉取鏡像
sudo docker pull registry.cn-hangzhou.aliyuncs.com/wyt_registry/wyt_registry:[鏡像版本號]
-
將鏡像推送到Registry
sudo docker tag [ImageId] registry.cn-hangzhou.aliyuncs.com/wyt_registry/wyt_registry:[鏡像版本號] sudo docker push registry.cn-hangzhou.aliyuncs.com/wyt_registry/wyt_registry:[鏡像版本號]
volume數據掛載
三種方式可讓 數據 脫離到 容器以外，減小容器層的size，也提高了性能（避免容器的讀寫層）。
volume 管理
# 建立數據卷
docker volume create redisdata
# 使用數據卷
docker run -d -v redisdata:/data --name some-redis redis
優勢：
- 不考慮宿主機文件結構，因此更加方便遷移，backup。
- 可使用 docker cli 命令統一管理
- volumes支持多平臺，不用考慮多平臺下的文件夾路徑問題。
- 使用volumn plugin 能夠方便和 aws, 等雲平臺遠程存儲。
bind 管理 （文件，文件夾）
將宿主機文件夾初始化送入容器中，後續進行雙向綁定。
tmpfs 容器內目錄掛載到宿主機內存中
# 不隱藏容器內/tmp內文件 docker run --rm -it webapp bash # 隱藏容器內/tmp內文件 docker run --rm --tmpfs /tmp -it webapp bash
network網絡
單機網絡
默認狀況下是 bridge，overlay，host， macvlan，none
docker host 的bridge 的 docker0 默認網橋
默認的 bridge 的大概原理
當docker啓動的時候，會生成一個默認的docker0網橋。。。
當啓動容器的時候，docker會生成一對 veth設備。。。。這個設備的一端鏈接到host的docker0網橋，一端鏈接到container中，重命名爲eth0
veth一端收到了數據，會自動傳給另外一端。。。
docker0: flags=4163<UP,BROADCAST,RUNNING,MULTICAST> mtu 1500 inet 172.17.0.1 netmask 255.255.0.0 broadcast 172.17.255.255 inet6 fe80::42:a4ff:fe79:a36f prefixlen 64 scopeid 0x20<link> ether 02:42:a4:79:a3:6f txqueuelen 0 (Ethernet) RX packets 0 bytes 0 (0.0 B) RX errors 0 dropped 0 overruns 0 frame 0 TX packets 11 bytes 1439 (1.4 KiB) TX errors 0 dropped 0 overruns 0 carrier 0 collisions 0 vethfc5e4ce: flags=4163<UP,BROADCAST,RUNNING,MULTICAST> mtu 1500 inet6 fe80::f802:99ff:fe73:34d7 prefixlen 64 scopeid 0x20<link> ether fa:02:99:73:34:d7 txqueuelen 0 (Ethernet) RX packets 0 bytes 0 (0.0 B) RX errors 0 dropped 0 overruns 0 frame 0 TX packets 17 bytes 1947 (1.9 KiB) TX errors 0 dropped 0 overruns 0 carrier 0 collisions 0 / # ip addr 1: lo: <LOOPBACK,UP,LOWER_UP> mtu 65536 qdisc noqueue state UNKNOWN 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 6: eth0: <BROADCAST,MULTICAST,UP,LOWER_UP> mtu 1500 qdisc noqueue state UP link/ether 02:42:ac:11:00:02 brd ff:ff:ff:ff:ff:ff inet 172.17.0.2/16 brd 172.17.255.255 scope global eth0 valid_lft forever preferred_lft forever [root@localhost ~]# docker run -it alpine ash / # ip addr 1: lo: <LOOPBACK,UP,LOWER_UP> mtu 65536 qdisc noqueue state UNKNOWN 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 8: eth0: <BROADCAST,MULTICAST,UP,LOWER_UP> mtu 1500 qdisc noqueue state UP link/ether 02:42:ac:11:00:03 brd ff:ff:ff:ff:ff:ff inet 172.17.0.3/16 brd 172.17.255.255 scope global eth0 valid_lft forever preferred_lft forever / #
默認的bridge缺陷
無服務發現功能，同一個子網，沒法經過 「服務名」 互通，只能經過 ip 地址。。。
自定義bridge網絡
自帶服務發現機制
# 建立橋接網絡 docker network create my-net # 建立容器 docker run -it --network my-net --name some-redis alpine ash docker run -it --network my-net --name some-redis2 alpine ash # 在some-redis中ping容器some-redis2 ping some-redis2
容器網絡發佈
若是讓宿主機以外的程序能可以訪問host上的bridge內的container:-p 發佈端口
# 運行容器進行端口轉發 docker run -it --network my-net -p 80:80 --name some-redis-1 alpine ash # 查看網絡轉發詳情 iptables -t nat -L -n Chain DOCKER (2 references) target prot opt source destination RETURN all -- 0.0.0.0/0 0.0.0.0/0 RETURN all -- 0.0.0.0/0 0.0.0.0/0 DNAT tcp -- 0.0.0.0/0 0.0.0.0/0 tcp dpt:80 to:172.18.0.4:80
多機網絡
overlay網絡
可實現多機訪問
- 使用docker swarm init 實現docker 集羣網絡
# 192.168.103.240 docker swarm init # 192.168.103.226 docker swarm join --token SWMTKN-1-0g4cs8fcatshczn5koupqx7lulak20fbvu99uzjb5asaddblny-bio99e9kktn023k527y3tjgyv 192.168.103.240:2377
- 實現自定義的 可獨立添加容器的 overlay網絡
docker network create --driver=overlay --attachable test-net
TCP 2377 集羣 manage 節點交流的
TCP 的 7946 和 UDP 的 7946 nodes 之間交流的
UDP 4789 是用於overlay network 流量傳輸的。
演示
- 192.168.103.226 redis啓動
docker run --network test-net --name some-redis -d redis
- 192.168.103.240 python
mkdir /app vim /app/app.py vim /app/Dockerfile vim /app/requirements.txt
app.pv
View Codefrom flask import Flask from redis import Redis, RedisError import os import socket # Connect to Redis redis = Redis(host="some-redis", db=0, socket_connect_timeout=2, socket_timeout=2) app = Flask(__name__) @app.route("/") def hello(): try: visits = redis.incr("counter") except RedisError: visits = "<i>cannot connect to Redis, counter disabled</i>" html = "<b>Hostname:</b> {hostname}<br/>" \ "<b>Visits:</b> {visits}" return html.format(hostname=socket.gethostname(), visits=visits) if __name__ == "__main__": app.run(host='0.0.0.0', port=80)
Dockerfile
View CodeFROM python:2.7-slim WORKDIR /app COPY . . EXPOSE 80 RUN pip install --trusted-host pypi.python.org -r requirements.txt VOLUME [ "/app" ] CMD [ "python", "app.py" ]
requirements.txt
View CodeFlask Redis# 構建鏡像 docker build -t pyweb:v1 . # 運行容器 docker run -d --network test-net -p 80:80 -v /app:/app --name pyapp pyweb:v1
訪問結果
host 模式
這種模式不和宿主機進行網絡隔離，直接使用宿主機網絡
最簡單最粗暴的方式
overlay雖然複雜，可是強大， 很差控制。
docker-compose
什麼是docker-compose？應用程序棧一鍵部署，（獨立程序一鍵部署），docker-compose 能夠管理你的整個應用程序棧的生命週期。
下載
官方地址：https://docs.docker.com/compose/install/
# 下載Docker Compose的當前穩定版本 sudo curl -L "https://github.com/docker/compose/releases/download/1.24.0/docker-compose-$(uname -s)-$(uname -m)" -o /usr/local/bin/docker-compose # https://github.com/docker/compose/releases/download/1.24.1/docker-compose-Linux-x86_64 # 建議迅雷下載後進行重命名，這樣速度快 # 對二進制文件應用可執行權限 sudo chmod +x /usr/local/bin/docker-compose # 測試安裝 docker-compose --version
簡單示例
- 新建項目 WebApplication1 空網站項目添加NLog、Redis包支持
Install-Package NLog.Targets.ElasticSearch Install-Package StackExchange.Redis - 修改 Program.cs 使用80端口
public static IWebHostBuilder CreateWebHostBuilder(string[] args) => WebHost.CreateDefaultBuilder(args) .UseUrls("http://*:80") .UseStartup<Startup>();
- 修改 Startup.cs 添加日誌和redis
public Logger logger = LogManager.GetCurrentClassLogger(); public ConnectionMultiplexer redis = ConnectionMultiplexer.Connect("redis"); // This method gets called by the runtime. Use this method to configure the HTTP request pipeline. public void Configure(IApplicationBuilder app, IHostingEnvironment env) { if (env.IsDevelopment()) { app.UseDeveloperExceptionPage(); } app.Run(async (context) => { var count = await redis.GetDatabase(0).StringIncrementAsync("counter"); var info= $"you have been seen {count} times !"; logger.Info(info); await context.Response.WriteAsync(info); }); }
- 添加 nlog.config 配置文件
<?xml version="1.0" encoding="utf-8" ?> <nlog xmlns="http://www.nlog-project.org/schemas/NLog.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" autoReload="true" internalLogLevel="Warn"> <extensions> <add assembly="NLog.Targets.ElasticSearch"/> </extensions> <targets> <target name="ElasticSearch" xsi:type="BufferingWrapper" flushTimeout="5000" > <target xsi:type="ElasticSearch" uri="http://elasticsearch:9200" documentType="web.app"/> </target> </targets> <rules> <logger name="*" minlevel="Trace" writeTo="ElasticSearch" /> </rules> </nlog>
-
添加 Dockerfile 文件
FROM mcr.microsoft.com/dotnet/core/aspnet:2.2-stretch-slim AS base WORKDIR /data COPY . . EXPOSE 80 ENTRYPOINT ["dotnet", "WebApplication1.dll"]
-
添加 docker-compose.yml 文件
version: '3.0' services: webapp: build: context: . dockerfile: Dockerfile ports: - 80:80 depends_on: - redis networks: - netapp redis: image: redis networks: - netapp elasticsearch: image: elasticsearch:5.6.14 networks: - netapp kibana: image: kibana:5.6.14 ports: - 5601:5601 networks: - netapp networks: netapp:
-
發佈項目文件，並拷貝到遠程服務器/app文件夾內
-
運行 docker-compose
cd /app docker-compose up --build - 查看效果
訪問網站http://192.168.103.240/
訪問Kibana查看日誌http://192.168.103.240:5601
docker-compose 常見命令
- 操控命令
docker-compose ps docker-compose images docker-compose kill webapp docker-compose build docker-compose run -> docker exec docker-compose scale docker-compose up -> docker run docker-compose down
-
狀態命令
docker-compose logs docker-compose ps docker-compose top docker-compose port docker-compose config
compose命令講解
官方地址：https://docs.docker.com/compose/compose-file/
yml經常使用命令分析
version 3.7 services config （swarm） secret （swarm） volume networks
appstack 補充
修改 WebApplication1 項目中的 docker-compose.yml
version: '3.0' services: webapp: build: context: . dockerfile: Dockerfile image: wyt/webapp container_name: webapplication restart: always ports: - 80:80 depends_on: - redis networks: - netapp redis: image: redis networks: - netapp elasticsearch: image: elasticsearch:5.6.14 networks: - netapp volumes: - "esdata:/usr/share/elasticsearch/data" kibana: image: kibana:5.6.14 ports: - 5601:5601 networks: - netapp volumes: esdata: networks: netapp:
部分docker-compose腳本：https://download.csdn.net/download/qq_25153485/11324352
docker-compose 一些使用原則
使用多文件部署
- 生產環境代碼直接放在容器中，test環境實現代碼掛載
test: docker-compose -f docker-compose.yml -f test.yml up prd: docker-compose -f docker-compose.yml -f prd.yml up -
生產環境中綁定程序默認端口，測試機防衝突綁定其餘端口。
- 生產環境配置 restart: always , 能夠容器就能夠掛掉以後重啓。
- 添加日誌聚合,對接es
按需編譯，按需構建
# 只構建service名稱爲webapp的鏡像，也會構建其依賴 docker-compose build webapp # 只構建service名稱爲webapp的鏡像，不構建其依賴 docker-compose up --no-deps --build -d webapp
變量插值
- 設置宿主機環境變量
# 設置環境變量 export ASPNETCORE_ENVIRONMENT=Production # 獲取環境變量 echo $ASPNETCORE_ENVIRONMENT # hostip 網卡ip 埋進去，方便獲取 # image的版本號
- 修改 docker-compose.yml 讀取環境變量
environment: ASPNETCORE_ENVIRONMENT: ${ASPNETCORE_ENVIRONMENT}
docker可視化portainer
安裝教程參考：http://www.javashuo.com/article/p-gnnqvvqj-s.html
yml文件
protainer: image: portainer/portainer ports: - 9000:9000 volumes: - /var/run/docker.sock:/var/run/docker.sock restart: always networks: - netapp
使用python 和 C# 遠程訪問 docker
- 開放tcp端口，方便遠程訪問
修改 docker.service ,修改掉ExecStart
vim /usr/lib/systemd/system/docker.service # ExecStart=/usr/bin/dockerd -H fd:// --containerd=/run/containerd/containerd.soc ExecStart=/usr/bin/dockerd --containerd=/run/containerd/containerd.soc
配置 daemon.json
vim /etc/docker/daemon.json "hosts": ["192.168.103.240:18080","unix:///var/run/docker.sock"]
- 刷新配置文件，重啓docker
systemctl daemon-reload systemctl restart docker -
查看docker進程是否監聽
netstat -ano | grep 18080 tcp 0 0 192.168.103.240:18080 0.0.0.0:* LISTEN off (0.00/0/0)
python訪問docker
官方地址：https://docs.docker.com/develop/sdk/examples/
c#訪問docker
社區地址：https://github.com/microsoft/Docker.DotNet
class Program { static async Task Main(string[] args) { DockerClient client = new DockerClientConfiguration( new Uri("http://192.168.103.240:18080")) .CreateClient(); IList<ContainerListResponse> containers = await client.Containers.ListContainersAsync( new ContainersListParameters() { Limit = 10, }); Console.WriteLine("Hello World!"); } }
cluster volumes
開源分佈式文件系統：https://www.gluster.org/
- 部署前準備，修改 /etc/hosts 文件，增長以下信息
2臺機器
vim /etc/hosts 192.168.103.240 fs1 192.168.103.226 fs2
- 安裝GlusterFS 【兩個node】
yum install -y centos-release-gluster yum install -y glusterfs-server systemctl start glusterd systemctl enable glusterd
- 將fs2加入到集羣中
# 在fs1中執行 # 將fs2加入集羣節點中 gluster peer probe fs2 # 查看集羣狀態 gluster peer status # 查看集羣列表 gluster pool list # 查看全部命令 gluster help global
-
建立volume
# 建立文件夾（兩個都要建立） mkdir -p /data/glusterfs/glustervolume # 建立同步副本數據卷 replica集羣 2複製分發 force強制（fs1） gluster volume create glusterfsvolumne replica 2 fs1:/data/glusterfs/glustervolume fs2:/data/glusterfs/glustervolume force # 啓動卷使用 gluster volume start glusterfsvolumne
至關於兩臺機器都擁有了glusterfsvolumne
- 建立本地文件夾掛載 volume 便可
# 分別建立 mkdir /app # 【交叉掛載】 # fs1 mount -t glusterfs fs2:/glusterfsvolumne /app # fs2 mount -t glusterfs fs1:/glusterfsvolumne /app
View Code[root@localhost app]# df -h 文件系統 容量 已用 可用 已用% 掛載點 /dev/mapper/centos-root 17G 12G 5.8G 67% / devtmpfs 903M 0 903M 0% /dev tmpfs 920M 0 920M 0% /dev/shm tmpfs 920M 90M 830M 10% /run tmpfs 920M 0 920M 0% /sys/fs/cgroup /dev/sda1 1014M 232M 783M 23% /boot tmpfs 184M 12K 184M 1% /run/user/42 tmpfs 184M 0 184M 0% /run/user/0 overlay 17G 12G 5.8G 67% /data/docker/overlay2/46ed811c8b335a3a59cae93a77133599390c4a6bf2767a690b01b8b2999eb1e3/merged shm 64M 0 64M 0% /data/docker/containers/f7044f3d2b744f97f60a2fd004402300a8f4d1c1494f86dfd0852a89d4626efd/mounts/shm fs2:/glusterfsvolumne 17G 12G 5.7G 68% /app overlay 17G 12G 5.8G 67% /data/docker/overlay2/b681972965562fe4f608f0724430906078130a65d3dbe9031cb9ab40ce29698f/merged shm 64M 0 64M 0% /data/docker/containers/d43a7653a61a9a6d6ad89cb178b9567d99b5b0c6976ece90bd7b92f8cc2ebcaf/mounts/shm
View Code[root@localhost app]# df -h 文件系統 容量 已用 可用 已用% 掛載點 /dev/mapper/centos-root 17G 8.2G 8.9G 48% / devtmpfs 903M 0 903M 0% /dev tmpfs 920M 0 920M 0% /dev/shm tmpfs 920M 90M 830M 10% /run tmpfs 920M 0 920M 0% /sys/fs/cgroup /dev/sda1 1014M 232M 783M 23% /boot tmpfs 184M 4.0K 184M 1% /run/user/42 tmpfs 184M 36K 184M 1% /run/user/0 overlay 17G 8.2G 8.9G 48% /data/docker/overlay2/20ae619da7d4578d9571a5ab9598478bce496423254833c110c67641e9f2d817/merged shm 64M 0 64M 0% /data/docker/containers/fc31990633d41fd4bf21a8b0601db1cfb7cf9b2d5920bf1a13cf696e111d91e2/mounts/shm fs1:/glusterfsvolumne 17G 12G 5.7G 67% /app
在fs1新建文件
在fs2中查看
- 容器部署
# fs1 fs2 # 數據是共享的 docker run --name some-redis -p 6379:6379 -v /app/data:/data -d redis
搭建本身的docker swarm集羣
集羣的搭建
- 準備三臺服務器
192.168.103.240 manager1 192.168.103.226 node1 192.168.103.227 node2
-
初始化swarm
# 192.168.103.240 manager1 docker swarm init
View Code[root@localhost ~]# docker swarm init Swarm initialized: current node (ryi7o7xcww2c9e4j1lotygfbu) is now a manager. To add a worker to this swarm, run the following command: docker swarm join --token SWMTKN-1-10bndgdxqph4nqmjn0g4oqse83tdgx9cbb50pcgmf0tn7yhlno-6mako3nf0a0504tiopu9jefxc 192.168.103.240:2377 To add a manager to this swarm, run 'docker swarm join-token manager' and follow the instructions.
-
加入節點
# 192.168.103.226 node1 # 192.168.103.227 node2 docker swarm join --token SWMTKN-1-10bndgdxqph4nqmjn0g4oqse83tdgx9cbb50pcgmf0tn7yhlno-6mako3nf0a0504tiopu9jefxc 192.168.103.240:2377
關鍵詞解釋
- managernode
用於管理這個集羣。（manager + work ）
用於分發task 給 worknode 去執行。 - worknode
用於執行 manager 給過來的 task。
給manager report task的執行狀況 或者一些 統計信息。 - service 服務
- task 容器
- overlay 網絡
swarm操做的基本命令
- docker swarm
docker swarm init docker swarm join docker swarm join-token docker swarm leave
- docker node
docker node demote / promote docker node ls / ps -
docker service
docker service create docker service update docker service scale docker service ls docker service ps
docker service rm# 在隨機節點上建立一個副本 docker service create --name redis redis:3.0.6 # 建立每一個節點都有的redis實例 docker service create --mode global --name redis redis:3.0.6 # 建立隨機節點的5個隨機的redis實例 docker service create --name redis --replicas=5 redis:3.0.6 # 建立端口映射3個節點的redis實例 docker service create --name my_web --replicas 3 -p 6379:6379 redis:3.0.6 # 更新服務，副本集提升成5個 docker service update --replicas=5 redis # 更新服務，副本集提升成2個 docker service scale redis=2 # 刪除副本集 docker service rm redis
compose.yml自定義swarm集羣
官方文檔：https://docs.docker.com/compose/compose-file/#deploy
全部分佈式部署都使用compose中的 deploy 進行節點部署
使用compose中的 deploy 進行節點部署
- 準備4臺服務器
192.168.103.240 manager1 192.168.103.228 manager2 192.168.103.226 node1 192.168.103.227 node2
- 編寫 docker-compose.yml 文件
vim /app/docker-compose.yml version: '3.7' services: webapp: image: nginx ports: - 80:80 deploy: replicas: 5
- 運行yml文件
# 與docker-compose不一樣，這裏是基於stack deploy的概念 docker stack deploy -c ./docker-compose.yml nginx -
查看stack
# 查看全部棧 docker stack ls # 查看名稱爲nginx的棧 docker stack ps nginx
帶狀態的容器進行約束
placement:
constraints:
- xxxxxx
- 藉助node的自帶信息
https://docs.docker.com/engine/reference/commandline/service_create/#specify-service-constraints---constraint
node.id / node.hostname / node.role
node.id Node ID node.id==2ivku8v2gvtg4 node.hostname Node hostname node.hostname!=node-2 node.role Node role node.role==manager node.labels user defined node labels node.labels.security==high engine.labels Docker Engine's labels - 藉助node的自定義標籤信息 [更大的靈活性]
node.labels / node.labels.country==china
讓 5個task 分配在 node1節點上
- 編寫 docker-compose.yml 文件|
vim /app/docker-compose.yml version: '3.7' services: webapp: image: nginx ports: - 80:80 deploy: replicas: 5 placement: constraints: - node.id == icyia3s2mavepwebkyr0tqxly
- 運行yml文件
# 先刪除，發佈，延遲5秒、查看詳情 docker stack rm nginx && docker stack deploy -c ./docker-compose.yml nginx && sleep 5 && docker stack ps nginx
讓 5 個 task 在東部地區運行
- 給node打標籤
docker node update --label-add region=east --label-add country=china 0pbg8ynn3wfimr3q631t4b01s docker node update --label-add region=west --label-add country=china icyia3s2mavepwebkyr0tqxly docker node update --label-add region=east --label-add country=usa 27vlmifw8bwyc19tpo0tbgt3e
- 編寫 docker-compose.yml 文件
vim /app/docker-compose.yml version: '3.7' services: webapp: image: nginx ports: - 80:80 deploy: replicas: 5 placement: constraints: - node.labels.region == east
-
運行yml文件
# 先刪除，發佈，延遲5秒、查看詳情 docker stack rm nginx && docker stack deploy -c ./docker-compose.yml nginx && sleep 5 && docker stack ps nginx
讓 5 個 task 在中國東部地區運行
deploy: replicas: 5 placement: constraints: - node.labels.region == east - node.labels.country == china
均勻分佈
目前只有 spread 這種策略，用於讓task在指定的node標籤上均衡的分佈。
placement:
preferences:
- spread: node.labels.zone
讓 8 個task 在 region 均勻分佈
- 編寫 docker-compose.yml 文件
vim /app/docker-compose.yml version: '3.7' services: webapp: image: nginx ports: - 80:80 deploy: replicas: 8 placement: constraints: - node.id != ryi7o7xcww2c9e4j1lotygfbu preferences: - spread: node.labels.region
-
運行yml文件
# 先刪除，發佈，延遲5秒、查看詳情 docker stack rm nginx && docker stack deploy -c ./docker-compose.yml nginx && sleep 5 && docker stack ps nginx
重啓策略
deploy: restart_policy: condition: on-failure delay: 5s max_attempts: 3 window: 120s
默認是any，(always) 單要知道和 on-failure, 前者若是我stop 容器，同樣重啓， 後者則不是
version: '3.7' services: webapp: image: nginx ports: - 80:80 deploy: replicas: 2 restart_policy: condition: on-failure delay: 5s placement: constraints: - node.role == worker
其餘屬性
endpoint_mode vip -> keepalive 【路由器的一個協議】
labels：標籤信息
mode：分發仍是全局模式
resources：限制可用資源
update_config 【覆蓋的一個策略】
把以前的單機版程序修改放到分佈式環境中
修改 docker-compose.yml 文件
version: '3.0' services: webapp: image: registry.cn-hangzhou.aliyuncs.com/wyt_registry/wyt_registry ports: - 80:80 depends_on: - redis networks: - netapp deploy: replicas: 3 placement: constraints: - node.id == ryi7o7xcww2c9e4j1lotygfbu redis: image: redis networks: - netapp deploy: placement: constraints: - node.role == worker elasticsearch: image: elasticsearch:5.6.14 networks: - netapp deploy: placement: constraints: - node.role == worker kibana: image: kibana:5.6.14 ports: - 5601:5601 networks: - netapp deploy: placement: constraints: - node.role == worker networks: netapp:
在私有倉庫拉取的時候記得 帶上這個參數，，不然會 no such image 這樣的報錯的。
docker stack deploy -c ./docker-compose.yml nginx --with-registry-auth
docker新特性
使用config實現全局掛載
- 建立config配置
vim /app/nlog.config <?xml version="1.0" encoding="utf-8" ?> <nlog xmlns="http://www.nlog-project.org/schemas/NLog.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" autoReload="true" internalLogLevel="Warn"> <extensions> <add assembly="NLog.Targets.ElasticSearch"/> </extensions> <targets> <target name="ElasticSearch" xsi:type="BufferingWrapper" flushTimeout="5000" > <target xsi:type="ElasticSearch" uri="http://elasticsearch:9200" documentType="web.app"/> </target> </targets> <rules> <logger name="*" minlevel="Trace" writeTo="ElasticSearch" /> </rules> </nlog>
# 建立名稱爲nlog的配置 docker config create nlog /app/nlog.config - 查看config內容，默認是base64編碼
docker config inspect nlog [ { "ID": "1zwa2o8f71i6zm6ie47ws987n", "Version": { "Index": 393 }, "CreatedAt": "2019-07-11T10:30:58.255006156Z", "UpdatedAt": "2019-07-11T10:30:58.255006156Z", "Spec": { "Name": "nlog", "Labels": {}, "Data": "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" } } ] #解密 <?xml version="1.0" encoding="utf-8" ?> <nlog xmlns="http://www.nlog-project.org/schemas/NLog.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" autoReload="true" internalLogLevel="Warn"> <extensions> <add assembly="NLog.Targets.ElasticSearch"/> </extensions> <targets> <target name="ElasticSearch" xsi:type="BufferingWrapper" flushTimeout="5000" > <target xsi:type="ElasticSearch" uri="http://elasticsearch:9200" documentType="web.app"/> </target> </targets> <rules> <logger name="*" minlevel="Trace" writeTo="ElasticSearch" /> </rules> </nlog>
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給servcie做用域加上 config 文件, 根目錄有一個 nlog 文件
docker service create --name redis --replicas 3 --config nlog redis
View Code[root@localhost app]# docker ps CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES e5f7b18e8377 redis:latest "docker-entrypoint.s…" About a minute ago Up About a minute 6379/tcp redis.3.usqs8c5mucee16mokib7143aa [root@localhost app]# docker exec -it e5f7b18e8377 bash root@e5f7b18e8377:/data# cd / root@e5f7b18e8377:/# ls bin boot data dev etc home lib lib64 media mnt nlog opt proc root run sbin srv sys tmp usr var root@e5f7b18e8377:/# cd nlog bash: cd: nlog: Not a directory root@e5f7b18e8377:/# cat nlog <?xml version="1.0" encoding="utf-8" ?> <nlog xmlns="http://www.nlog-project.org/schemas/NLog.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" autoReload="true" internalLogLevel="Warn"> <extensions> <add assembly="NLog.Targets.ElasticSearch"/> </extensions> <targets> <target name="ElasticSearch" xsi:type="BufferingWrapper" flushTimeout="5000" > <target xsi:type="ElasticSearch" uri="http://elasticsearch:9200" documentType="web.app"/> </target> </targets> <rules> <logger name="*" minlevel="Trace" writeTo="ElasticSearch" /> </rules> </nlog>
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使用docker-compose實現
vim /app/docker-compose.yml version: "3.7" services: redis: image: redis:latest deploy: replicas: 3 configs: - nlog2 configs: nlog2: file: ./nlog.config
-
運行
docker stack deploy -c docker-compose.yml redis --with-registry-auth
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掛載到指定目錄（這裏的意思是掛在到容器內的/root文件夾內）
vim /app/docker-compose.yml version: "3.7" services: redis: image: redis:latest deploy: replicas: 1 configs: - source: nlog2 target: /root/nlog2 configs: nlog2: file: ./nlog.config
serect掛載明文和密文
若是你有敏感的配置須要掛載在swarm的service中，能夠考慮使用 serect
- 用戶名和密碼
- 生產的數據庫鏈接串
使用方式與config一致,掛在目錄在：/run/secrets/<secret_name>
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相關文章
- 1. docker swarm和compose 的使用(阿里)
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