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$ sudo docker run ubuntu:14.10 /bin/echo 'Hello world' Hello world
進入BASH
$ sudo docker run -t -i ubuntu:14.10 /bin/bash root@f8c7b2afff14:/#
start / stop / restart
sudo docker start silly_bohr silly_bohr $ sudo docker stop silly_bohr silly_bohr $ sudo docker restart silly_bohr silly_bohr
[root@localhost ~]# docker container start registry
registry
[root@localhost ~]# docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
f1e57592f82a registry:latest "/entrypoint.sh /etc…" 8 days ago Up 6 seconds 0.0.0.0:5000->5000/tcp registry
[root@localhost ~]# curl http://192.168.3.6:5000/v2/_catalog
{"repositories":[]}
守護進程運行
$ sudo docker run -d ubuntu:14.10 /bin/sh -c "while true; do echo hello world; sleep 1; done" 4cdbb75eeabf3f1ea87bec91accdf5211639d0895e94ab94ffa1d55fb7f62e2a
通過 docker ps 命令來查看容器信息
$ sudo docker ps CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES 4cdbb75eeabf ubuntu:14.10 "/bin/sh -c 'while t 30 seconds ago Up 28 seconds drunk_rosalind
要獲取容器的輸出信息，可以通過 docker logs 命令。
$ sudo docker logs insane_babbage
注意：守護進程在後台運行，所以無輸出，只能通過docker logs 命令查看
$ sudo docker run -idt ubuntu:14.10 793f9805620d7e10564e0778c388640cb73b6a1aec663bf468904d72a4f219f2 $ sudo docker ps CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES 793f9805620d ubuntu:14.10 "/bin/bash" 5 seconds ago Up 4 seconds mad_elion $ sudo docker attach mad_elion root@793f9805620d:/# ls bin boot dev etc home lib lib64 media mnt opt proc root run sbin srv sys tmp usr var
$ sudo docker export 7691a814370e > ubuntu.tar
<![CDATA[ $ cat ubuntu.tar | sudo docker import - test/ubuntu:v1.0
指定 URL 或者某個目錄來導入，例如
$sudo docker import http://example.com/exampleimage.tgz example/imagerepo
導出
iMac:tmp neo$ docker export registry -o registry.tar
導入
iMac:tmp neo$ docker import registry.tar sha256:1678c838115696f9540f168fe117ea81715b6b676497307e65d15d1ac10d9a11
指定 [REPOSITORY[:TAG]]
iMac:tmp neo$ docker import registry.tar registry:latest sha256:7b76bd807a47dcc60e41bf2f8268ecf69906bb14c2ebaa348c4c15aac716b878 iMac:tmp neo$ docker images registry REPOSITORY TAG IMAGE ID CREATED SIZE registry latest 7b76bd807a47 11 seconds ago 26.2MB
使用 docker rm 來刪除一個處于終止狀態的容器。
$ sudo docker ps -a CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES f8c7b2afff14 ubuntu:14.10 "/bin/bash" 14 minutes ago Exited (0) 2 minutes ago agitated_fermat 0abd2e5fc251 ubuntu:14.10 "/bin/echo 'Hello wo 15 minutes ago Exited (0) 15 minutes ago clever_kowalevski $ sudo docker rm clever_kowalevski clever_kowalevski $ sudo docker ps -a CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES f8c7b2afff14 ubuntu:14.10 "/bin/bash" 16 minutes ago Exited (0) 5 minutes ago agitated_fermat
$ docker rm 719f98391ecf1d6f1f153ffea1bbd84cd2dc9cf6d31d5a4f348c60d98392814c
刪除所有已經停止的容器
docker rm $(docker ps -a -q)
日誌發送到 fluentd
docker run --log-driver=fluentd --log-opt fluentd-address=192.168.2.5:24220 ubuntu echo "Hello world"
iMac:welcome neo$ docker run 127.0.0.1:5000/netkiller/welcome -e JAVA_OPTS="-server -Xms512m -Xmx4096m"
# docker run --add-host=docker:10.180.0.1 --rm -it debian
向 /etc/hosts 檔案內添加主機名
docker run -it --add-host=db.netkiller.cn:172.16.18.80 ubuntu cat /etc/hosts
$ docker run --sysctl net.ipv4.ip_forward=1 someimage
docker run -itd --restart=always --net=host \ --name=centos01 --hostname=centos01 \ --sysctl kernel.msgmnb=13107200 \ --sysctl kernel.msgmni=256 \ --sysctl kernel.msgmax=65536 \ --sysctl kernel.shmmax=69719476736 \ --sysctl kernel.sem='500 256000 250 1024' \ -v /mnt/ssd:/var/lib/www \ centos:latest /bin/bash docker exec centos01 sysctl -a |grep -E \ 'kernel.msgmnb|kernel.msgmni|kernel.msgmax|kernel.shmmax|kernel.sem'
neo@MacBook-Pro-Neo ~ % docker ps CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES a6e33697e4bb docker.elastic.co/elasticsearch/elasticsearch:7.9.2 "/tini -- /usr/local…" 2 minutes ago Up 2 minutes 9200/tcp, 9300/tcp es02 598a6e61d4fc docker.elastic.co/kibana/kibana:7.9.2 "/usr/local/bin/dumb…" 2 minutes ago Up 2 minutes 0.0.0.0:5601->5601/tcp kibana bc125a658981 docker.elastic.co/elasticsearch/elasticsearch:7.9.2 "/tini -- /usr/local…" 2 minutes ago Up 2 minutes 9200/tcp, 9300/tcp es03 d027503bee4b docker.elastic.co/elasticsearch/elasticsearch:7.9.2 "/tini -- /usr/local…" 2 minutes ago Up 2 minutes 0.0.0.0:9200->9200/tcp, 9300/tcp elasticsearch neo@MacBook-Pro-Neo ~ % docker top 598a6e61d4fc PID USER TIME COMMAND 3077 1000 0:00 /usr/local/bin/dumb-init -- /usr/local/bin/kibana-docker 3285 1000 1:58 /usr/share/kibana/bin/../node/bin/node /usr/share/kibana/bin/../src/cli --cpu.cgroup.path.override=/ --cpuacct.cgroup.path.override=/
查看容器啟動後，修改了鏡像中哪些問題
neo@MacBook-Pro-Neo ~ % docker diff a6e33697e4bb C /tmp A /tmp/elasticsearch-14495251404334864644 A /tmp/hsperfdata_elasticsearch A /tmp/hsperfdata_elasticsearch/6 C /usr C /usr/share C /usr/share/elasticsearch C /usr/share/elasticsearch/config A /usr/share/elasticsearch/config/elasticsearch.keystore A /usr/share/elasticsearch/.cache A /usr/share/elasticsearch/.cache/JNA A /usr/share/elasticsearch/.cache/JNA/temp C /usr/share/elasticsearch/logs A /usr/share/elasticsearch/logs/gc.log A /usr/share/elasticsearch/logs/gc.log.00
neo@MacBook-Pro-Neo ~ % docker stats CONTAINER ID NAME CPU % MEM USAGE / LIMIT MEM % NET I/O BLOCK I/O PIDS a6e33697e4bb es02 0.68% 894.2MiB / 3.848GiB 22.69% 13.9MB / 6.95MB 98.9MB / 3.88MB 77 598a6e61d4fc kibana 0.95% 462.8MiB / 3.848GiB 11.74% 718kB / 13MB 409MB / 4.1kB 12 bc125a658981 es03 2.67% 889.9MiB / 3.848GiB 22.58% 1.76MB / 5.79MB 48.5MB / 3.09MB 71 d027503bee4b elasticsearch 2.75% 928.4MiB / 3.848GiB 23.56% 24MB / 14.7MB 139MB / 8.57MB 75