如何清理docker产生的垃圾文件
作者：知行合一2018
这篇文章主要介绍了如何清理docker产生的垃圾文件，小编觉得挺不错的，现在分享给大家，也给大家做个参考。一起跟随小编过来看看吧
无意中感觉磁盘空间不够用，于是使用df -a命令查看，结果令人大吃一惊，全是docker干的好事，在/var/lib/docker/aufs里生成了一堆垃圾：
davidhopper@davidhopper-ThinkPad-P50s:~$ df -a 文件系统 1K-块 已用 可用 已用% 挂载点 sysfs 0 0 0 - /sys proc 0 0 0 - /proc udev 8112832 0 8112832 0% /dev devpts 0 0 0 - /dev/pts tmpfs 1627828 9580 1618248 1% /run /dev/sda6 84293120 77948404 2039772 98% / securityfs 0 0 0 - /sys/kernel/security tmpfs 8139124 18040 8121084 1% /dev/shm tmpfs 5120 4 5116 1% /run/lock tmpfs 8139124 0 8139124 0% /sys/fs/cgroup cgroup 0 0 0 - /sys/fs/cgroup/systemd pstore 0 0 0 - /sys/fs/pstore efivarfs 0 0 0 - /sys/firmware/efi/efivars cgroup 0 0 0 - /sys/fs/cgroup/net_cls,net_prio cgroup 0 0 0 - /sys/fs/cgroup/perf_event cgroup 0 0 0 - /sys/fs/cgroup/cpu,cpuacct cgroup 0 0 0 - /sys/fs/cgroup/pids cgroup 0 0 0 - /sys/fs/cgroup/devices cgroup 0 0 0 - /sys/fs/cgroup/cpuset cgroup 0 0 0 - /sys/fs/cgroup/rdma cgroup 0 0 0 - /sys/fs/cgroup/blkio cgroup 0 0 0 - /sys/fs/cgroup/hugetlb cgroup 0 0 0 - /sys/fs/cgroup/freezer cgroup 0 0 0 - /sys/fs/cgroup/memory systemd-1 - - - - /proc/sys/fs/binfmt_misc debugfs 0 0 0 - /sys/kernel/debug mqueue 0 0 0 - /dev/mqueue hugetlbfs 0 0 0 - /dev/hugepages fusectl 0 0 0 - /sys/fs/fuse/connections configfs 0 0 0 - /sys/kernel/config /dev/sda1 262144 33084 229060 13% /boot/efi binfmt_misc 0 0 0 - /proc/sys/fs/binfmt_misc tmpfs 1627828 56 1627772 1% /run/user/1000 gvfsd-fuse 0 0 0 - /run/user/1000/gvfs /dev/sda6 84293120 77948404 2039772 98% /var/lib/docker/aufs
首先使用最简单的方法，清理当前未运行的所有Docker容器：
docker system prune
运行结果如下：
davidhopper@davidhopper-ThinkPad-P50s:~/code/apollo$ docker system prune WARNING! This will remove: - all stopped containers - all volumes not used by at least one container - all networks not used by at least one container - all dangling images Are you sure you want to continue? [y/N] y Deleted Volumes: 333739e346364a7d515cdfc585f5231dd7f74a9e71431d152f6efc4da3bcb303 419184335b3c6130cb47b98c672e9666479ef0ff27cd2d20e173b55800507052 94165565a1f9d0553d18de62f86264596747f1b38c651b5e4f68391607e8453d 08d67461fa141609d0905f1209526131ce60864d1bf27650511a6bcc88197107 3aeb8f32513a1813f6b50726a233f16b20bb896b5cf3e51197c86e2cc10be374 3af830103bdedc7f035be9d2bdbd1104733c274f3ce629784cdf9daee8ac070e 78e7ab8000386d61050034a64eee041a2743b60c466598286f276534529db551 155c34c18faf8d234412a999b28d1d6de8517b68eac5dc47e58964a0efb24a06 200d23a03f40cb1b8af8e5368805370d45195448fbad0944bcb9730f2140d462 51b2e0825e25de4c42475245a83b2119ce45e75da811ad6df1525f7ff2888a36 559532c3877cf5641e21c15fca6d923266b6548a4aef834667b0c66ca78cde38 a05cf184006b1301eb91e2ebcb9cca6d5868265f56bdac0aefd5228979fd8c74 c21d336b8205ea12e27414c3a00eef6a329222ea7552b825d3889ef042783820 3e573f8d84fd7923415b46a90017ff5cfeb2bd2931e4ec54c45c4bd62664042d 3ee39b3a5e49b605d4069e99c4c1d01db6a210d28cbdc350672b33accd2b0f3b a0fe3e6d80b6fb4dc6ca2159789e512912fb4ffccd0df1183bafc55c4e804563 3e062023110a4c13e7915da03ffaad3dbaa558c590a6b2274c2fb09ad54abd6c 69276b6274956a28abfe50fdf459a0042ecba6978e379e035399c9272c930b57 de1a0669765d765699b47999c59ed74f93fc0545fe8d280cefdd2cf9e2b31379 33766d8c693b826d9da48d419c15b90fcfbac26eb9939749aef94218a31a767b 45a2047d0581ad07ebd0164e69897f5ae99144a4f0422b72f184281ae47e0b4d 7191a9c6cea03c4aa1aac1c742228c46e3d7e2577645a037d62600be7249a649 7b45e555bca1d941af284743396753199f7bea33e7bf3f3362f385ec074b4450 08cb6f6b2c1d83796e9bcdd6eb6d2930ba80f98721ed1215d9bd6c75148a2608 0a786b212dc4e76225ae3e90dfd92c6eba5a4f60f465d86e62990fe22311ba1c 2a50f3203d93d60e115ec3b3ba643b3213f98d3c793730332de0178a9f7b5c45 3b50fae52487f178325d0347f75eb2502195daf5e39ba156a37752d3d62cd915 9067fa92cee1da6d1044ce51d616dc0cad67ac31e16f4f208ba840599dcb0b21 cb07e29eabcbb62bbcbe13443267a96599747ca52b685a71b7233cf94d876d38 67c55c6079ff257be64a59ee83d08c463591aebd5496dd1f134c33205d9f5c12 0a994bec4d112f6b012b7be4f5b7ad25c557c01f4392cf02546eceb697913240 90d85444a338c247414adc209e42a46c89d30cc9c1c52d29c0d63a5e35b5d70c ec2bb3abb42e7450005e9c9b30305a5763e44dc03a70f313062d57ef8062b10a 09d99b0fd826d7463c1816228953c0492107916283de2b1ccb7fa8e22c2de324 1ad2def94eaa92707b9cf3b7ef288b57c64cff0094103f776657aaeacae8c939 92f633c27c6796091311e83617d4fb3b1526689b5b6ada33f58214ffa80c1f5e 053bacc4b3bf55149f918368238ffe50c1ed777558092b7b883b2cda2b7a0313 15118045d54acb0e63c0ebd4460a1a1666b3c930b95d351a1b831419eb3f2226 2852c53d5b177522c67ffd9d916d66328ede26275c27a80745812b1c28b8d47f abe49f612dc9e8250f464772c726850415a051562ffcd922dc796a71bb94d061 6927af521e03ec75a09dbfe0a86bbf69928773841c538a2fc094bc4368bd3138 6d97a92956067706ba5d8ac9d01e99294d8ca28e4182a81c0662f77faf8e372b 8496afb1946e3f5863a23c8394f4065293e26dbc2555bf474d0328f56a613331 829e41a7d593b75633868c72bb81123d32f2a14b656f1409c57da6bc984fa233 9205da799d47bc613bf7b1955ea78712f16b4edf2a79b450f55ffb6111dee609 923a72e6bde7fb13fae29995611f9d28b0bdd4cf6a53250c45006edbe795d120 e31e6d693398b033843b0ad9cfceec09b9e1b47f7a9f4b2bec275e5e6a23fa3b 0163e1b3e1d90e20410e33b5d95eec75b55819c1117fdd57c655c31ed589f524 479c0acef02c7b1ddcb5863198868f71b6b2f3275146de73f9c884a9f50dd32e 7a231567bbc73d11621d34cdacc45061cfe060e78210782e18fec100578fe56a Total reclaimed space: 26.96GB
如果空间释放得还够多，就想办法删除/var/lib/docker/aufs文件夹，最朴素的想法是直接删除：
sudo rm -rf /var/lib/docker/aufs
结果令人失望，提示信息如下：
davidhopper@davidhopper-ThinkPad-P50s:~$ sudo rm -rf /var/lib/docker/aufs [sudo] davidhopper 的密码： rm: 无法删除'/var/lib/docker/aufs': 设备或资源忙
用命令cat /proc/mounts | grep "docker"查找设备加载情况，果然有aufs：
davidhopper@davidhopper-ThinkPad-P50s:~$ cat /proc/mounts | grep "docker" /dev/sda6 /var/lib/docker/aufs ext4 rw,relatime,errors=remount-ro,data=ordered 0 0
没办法，逼我用绝招，先缷载设备，再删除之：
sudo umount /var/lib/docker/aufs sudo rm -rf /var/lib/docker/aufs
再次使用df -a命令查看，结果令人神清气爽：
davidhopper@davidhopper-ThinkPad-P50s:~$ df -a 文件系统 1K-块 已用 可用 已用% 挂载点 sysfs 0 0 0 - /sys proc 0 0 0 - /proc udev 8112832 0 8112832 0% /dev devpts 0 0 0 - /dev/pts tmpfs 1627828 9584 1618244 1% /run /dev/sda6 84293120 65296764 14691412 82% / securityfs 0 0 0 - /sys/kernel/security tmpfs 8139124 18256 8120868 1% /dev/shm tmpfs 5120 4 5116 1% /run/lock tmpfs 8139124 0 8139124 0% /sys/fs/cgroup cgroup 0 0 0 - /sys/fs/cgroup/systemd pstore 0 0 0 - /sys/fs/pstore efivarfs 0 0 0 - /sys/firmware/efi/efivars cgroup 0 0 0 - /sys/fs/cgroup/net_cls,net_prio cgroup 0 0 0 - /sys/fs/cgroup/perf_event cgroup 0 0 0 - /sys/fs/cgroup/cpu,cpuacct cgroup 0 0 0 - /sys/fs/cgroup/pids cgroup 0 0 0 - /sys/fs/cgroup/devices cgroup 0 0 0 - /sys/fs/cgroup/cpuset cgroup 0 0 0 - /sys/fs/cgroup/rdma cgroup 0 0 0 - /sys/fs/cgroup/blkio cgroup 0 0 0 - /sys/fs/cgroup/hugetlb cgroup 0 0 0 - /sys/fs/cgroup/freezer cgroup 0 0 0 - /sys/fs/cgroup/memory systemd-1 - - - - /proc/sys/fs/binfmt_misc debugfs 0 0 0 - /sys/kernel/debug mqueue 0 0 0 - /dev/mqueue hugetlbfs 0 0 0 - /dev/hugepages fusectl 0 0 0 - /sys/fs/fuse/connections configfs 0 0 0 - /sys/kernel/config /dev/sda1 262144 33084 229060 13% /boot/efi binfmt_misc 0 0 0 - /proc/sys/fs/binfmt_misc tmpfs 1627828 52 1627776 1% /run/user/1000 gvfsd-fuse 0 0 0 - /run/user/1000/gvfs
为了让docker以后不再占用更多空间，我们指定docker目录的最大空间，命令如下：
mkdir -p /var/lib/docker/devicemapper/devicemapper dd if=/dev/zero of=/var/lib/docker/devicemapper/devicemapper/data bs=1M count=0 seek=1024
建立的文件最大尺寸为 1MB * 1024 = 10 GB
注意：
如果删除垃圾文件后，导致Docker无法使用，则可使用如下方法将相关文件全部删除，然后重新安装Docker。删除相关文件的方法如下：
1.查找Docker缓存文件位置
sudo find / -name "docker"
在我机器上结果如下：
/sys/fs/cgroup/memory/docker /sys/fs/cgroup/blkio/docker /sys/fs/cgroup/hugetlb/docker /sys/fs/cgroup/pids/docker /sys/fs/cgroup/cpuset/docker /sys/fs/cgroup/perf_event/docker /sys/fs/cgroup/devices/docker /sys/fs/cgroup/net_cls,net_prio/docker /sys/fs/cgroup/freezer/docker /sys/fs/cgroup/cpu,cpuacct/docker /sys/fs/cgroup/systemd/docker /etc/default/docker /etc/docker /etc/init.d/docker /var/lib/docker /run/docker find: `/run/user/1000/gvfs': 权限不够 /usr/lib/docker /usr/share/code/resources/app/extensions/docker /usr/share/bash-completion/completions/docker /usr/bin/docker /home/davidhopper/Qt5.10.0/5.10.0/Src/qtwebengine/src/3rdparty/chromium/third_party/protobuf/jenkins/docker /home/davidhopper/.cache/bazel/_bazel_davidhopper/install/5b1e8be5d1d6766f635a7db5967707e9/_embedded_binaries/embedded_tools/tools/build_defs/docker /home/davidhopper/.vscode/extensions/njpwerner.autodocstring-0.2.0/.vscode-test/Visual Studio Code.app/Contents/Resources/app/extensions/docker /home/davidhopper/code/apollo/docker /home/davidhopper/code/protobuf-master/jenkins/docker /home/davidhopper/code/apollo1215/apollo/docker
2.删除Docker缓存
复制代码 代码如下:
sudo rm -rf /home/davidhopper/.cache/bazel/_bazel_davidhopper/install/5b1e8be5d1d6766f635a7db5967707e9/_embedded_binaries/embedded_tools/tools/build_defs/docker
以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持脚本之家。