本篇内容介绍了“docker怎么管理容器的数据”的有关知识,在实际案例的操作过程中,不少人都会遇到这样的困境,接下来就让小编带领大家学习一下如何处理这些情况吧!希望大家仔细阅读,能够学有所成!
可以通过两种方式管理容器中的数据,数据卷(Data Volumns),数据卷容器(Data Volumns containers)
data volume
存在一个或多个容器中的特殊的目录,它绕过容器的Union File System
.用来持久或共享数据.它是独立于容器的生命周期的. 它有几个特点:
容器创建好后会初始化数据卷.如果基础镜像在此挂载点上有数据,它会将数据复制到数据卷里.(挂在主机的目录则不会复制)
数据卷可以被多个容器共享使用
对数据卷的修改是直接的.
对数据卷的更改,不会因为你更新镜像而被包括进去.
就算容器被删除,数据卷还继续存在.
[root@srv00 ~]# docker images REPOSITORY TAG IMAGE ID CREATED SIZE hippo/nginx v1 2e1513eeaa0a 2 days ago 281.1 MB hippo/nginx v1.10 1e20546f8434 2 days ago 281.1 MB [root@srv00 ~]# docker run -it -v /etc/nginx hippo/nginx:v1.10 [root@bab2e5725220 /]# ll /etc/nginx/ total 32 drwxr-xr-x 2 root root 25 May 20 07:40 conf.d ...
可以看到容器内的数据卷目录中,是原有的
/etc/nginx
目录的内容.
可以修改一个文件配置看看.并检查主机上对应的数据卷内容.
[root@srv00 ~]# docker ps -a CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES bab2e5725220 hippo/nginx:v1.10 "/bin/bash" About a minute ago Exited (0) 15 seconds ago hungry_jennings [root@srv00 ~]# docker inspect bab2e5725220 ... "Mounts": [ { "Name": "b6c506a65d5f495ca6ce06aeb30bb6472295d459bfbeb464e89681e17ffe3541", "Source": "/var/lib/docker/volumes/b6c506a65d5f495ca6ce06aeb30bb6472295d459bfbeb464e89681e17ffe3541/_data", "Destination": "/etc/nginx", "Driver": "local", "Mode": "", "RW": true, "Propagation": "" } ... [root@srv00 _data]# docker rm bab2e5725220 bab2e5725220 [root@srv00 ~]# cat /var/lib/docker/volumes/b6c506a65d5f495ca6ce06aeb30bb6472295d459bfbeb464e89681e17ffe3541/_data/nginx.conf ...
对数据卷的修改直接持久在主机对应的地方..就算容器已经关闭或删除.
[root@srv00 ~]# mkdir nginx [root@srv00 ~]# docker run -it -v /root/nginx:/etc/nginx hippo/nginx:v1.10 [root@c0750f9779b3 /]# ll /etc/nginx/ <===无内容 [root@srv00 ~]# docker ps -l CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES c0750f9779b3 hippo/nginx:v1.10 "/bin/bash" 23 seconds ago Exited (0) 11 seconds ago agitated_mclean [root@srv00 ~]# docker inspect c0750f9779b3 ... "Mounts": [ { "Source": "/root/nginx", "Destination": "/etc/nginx", "Mode": "", "RW": true, "Propagation": "rprivate" } ...
可以看到是主机的对应目录挂载到容器内.
RW
是可读写标志,效果和mount命令一致.
如果是相对目录:
[root@srv00 ~]# mkdir -p a/b [root@srv00 ~]# touch a/b/c [root@srv00 ~]# docker run -it -v a/b:/etc/nginx hippo/nginx:v1.10 docker: Error response from daemon: create a/b: "a/b" includes invalid characters for a local volume name, only "[a-zA-Z0-9][a-zA-Z0-9_.-]" are allowed. See 'docker run --help'. [root@srv00 ~]# docker run -it -v nginx:/etc/nginx hippo/nginx:v1.10 e4e2f137a7412f6474018e88985e2f605b5f77f2cd1ce27280142994e5feb030 [root@srv00 ~]# docker inspect e4e2f137a7412f6474018e88985e2f605b5f77f2cd1ce27280142994e5feb030 ... "Mounts": [ { "Name": "nginx", "Source": "/var/lib/docker/volumes/nginx/_data", "Destination": "/etc/nginx", "Driver": "local", "Mode": "z", "RW": true, "Propagation": "rprivate" } ...
主机不可以指定相对目录,只可以对数据卷命名.
当然你可以以只读方式挂载.
[root@srv00 ~]# docker run -itd -v nginx:/etc/nginx:ro hippo/nginx:v1.10 b0a67f835eaac812ab37086bef05be6b0726ba080d73113221a5cf8a25bfb513 [root@srv00 ~]# docker inspect b0a67f835eaac812ab37086bef05be6b0726ba080d73113221a5cf8a25bfb513 ... "Mounts": [ { "Name": "nginx", "Source": "/var/lib/docker/volumes/nginx/_data", "Destination": "/etc/nginx", "Driver": "local", "Mode": "ro", "RW": false, "Propagation": "rprivate" } ...
之前都是通过运行容器的同时创建数据卷.当然也可以先创建好数据卷.然后挂载到容器中使用. 数据卷管理使用docker volume
命令.我们看一下刚才创建了哪些数据卷.
[root@srv00 ~]# docker volume ls DRIVER VOLUME NAME local 0159a70ae1a86b5c2947d323b5e6d539101770b66af5cb0ba6d87c12a1c2c742 local b6c506a65d5f495ca6ce06aeb30bb6472295d459bfbeb464e89681e17ffe3541 local nginx [root@srv00 ~]# docker volume inspect 0159a70ae1a86b5c2947d323b5e6d539101770b66af5cb0ba6d87c12a1c2c742 [ { "Name": "0159a70ae1a86b5c2947d323b5e6d539101770b66af5cb0ba6d87c12a1c2c742", "Driver": "local", "Mountpoint": "/var/lib/docker/volumes/0159a70ae1a86b5c2947d323b5e6d539101770b66af5cb0ba6d87c12a1c2c742/_data", "Labels": null } ] [root@srv00 ~]# docker volume inspect nginx [ { "Name": "nginx", "Driver": "local", "Mountpoint": "/var/lib/docker/volumes/nginx/_data", "Labels": null } ]
Driver
是local,就是映射到本地主机.也可以使用其他驱动.映射到比如iscsi,NFS,FC 等共享磁盘上.
我们来单独创建一个数据卷并使用
[root@srv00 ~]# docker volume create --name dbdata dbdata [root@srv00 ~]# docker volume ls DRIVER VOLUME NAME local 0159a70ae1a86b5c2947d323b5e6d539101770b66af5cb0ba6d87c12a1c2c742 local b6c506a65d5f495ca6ce06aeb30bb6472295d459bfbeb464e89681e17ffe3541 local dbdata local nginx [root@srv00 ~]# docker volume inspect dbdata [ { "Name": "dbdata", "Driver": "local", "Mountpoint": "/var/lib/docker/volumes/dbdata/_data", "Labels": {} } ] [root@srv00 ~]# docker run -itd -v dbdata:/etc/nginx hippo/nginx:v1.10
我们先创建个数据卷容器.然后运行两个单独的容器,挂载数据卷容器.
[root@srv00 ~]# docker create -v /opt --name datastore centos e5c37981c4f9e16f92b0d5215f5dfa5f79c86282e3018435a5e380350a5cce2c [root@srv00 ~]# docker ps -l CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES e5c37981c4f9 centos "/bin/bash" 11 seconds ago Created datastore [root@srv00 ~]# docker run -itd --volumes-from datastore --name db1 centos [root@srv00 ~]# docker run -itd --volumes-from datastore --name db2 centos
看看数据是否互相可访问.
[root@srv00 ~]# docker exec -it db1 /bin/bash [root@cd8fa62d3b29 ~]# echo "db111111" > /opt/txt [root@cd8fa62d3b29 ~]# exit exit [root@srv00 ~]# docker exec -it db2 /bin/bash [root@72c21395c72b /]# cat /opt/txt db111111 [root@72c21395c72b /]# exit exit [root@srv00 ~]# docker inspect datastore [root@srv00 ~]# docker inspect db1 [root@srv00 ~]# docker inspect db2 ... "Mounts": [ { "Name": "6b650687d6d2a448006dcb2b966b5f69bb31d34cf3e93f5e3c3460b6fd6eea4a", "Source": "/var/lib/docker/volumes/6b650687d6d2a448006dcb2b966b5f69bb31d34cf3e93f5e3c3460b6fd6eea4a/_data", "Destination": "/opt", "Driver": "local", "Mode": "", "RW": true, "Propagation": "" } ... [root@srv00 ~]# docker volume inspect 6b650687d6d2a448006dcb2b966b5f69bb31d34cf3e93f5e3c3460b6fd6eea4a [ { "Name": "6b650687d6d2a448006dcb2b966b5f69bb31d34cf3e93f5e3c3460b6fd6eea4a", "Driver": "local", "Mountpoint": "/var/lib/docker/volumes/6b650687d6d2a448006dcb2b966b5f69bb31d34cf3e93f5e3c3460b6fd6eea4a/_data", "Labels": null } ]
几个容器挂在的数据卷都是相同的.内部其实是创建了一个数据卷. 就算删除所有相关的运行的容器..数据卷不会删除.
“docker怎么管理容器的数据”的内容就介绍到这里了,感谢大家的阅读。如果想了解更多行业相关的知识可以关注亿速云网站,小编将为大家输出更多高质量的实用文章!
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