为什么码头上同一张图片的不同容器会退出？

Question

我试图运行相同的弹性搜索图像两次，但一个容器退出。只有一个elasticsearch容器运行，另一个退出。任何解决办法/建议都会有帮助。我使用以下命令运行它：

docker run -d my_es:v3 elasticsearch

下面是要退出的进程的日志文件。

root@ubuntu-512mb-nyc3-01:~/AnyElastic# docker logs e2cbd47927af
[2016-06-16 21:36:12,339][INFO ][node                     ] [Angela Del Toro] version[2.3.3], pid[1], build[218bdf1/2016-05-17T15:40:04Z]
[2016-06-16 21:36:12,343][INFO ][node                     ] [Angela Del Toro] initializing ...
[2016-06-16 21:36:14,014][INFO ][plugins                  ] [Angela Del Toro] modules [reindex, lang-expression, lang-groovy], plugins [], sites []
[2016-06-16 21:36:14,053][INFO ][env                      ] [Angela Del Toro] using [1] data paths, mounts [[/usr/share/elasticsearch/data (/dev/vda1)]], net usable_space [13.9gb], net total_space [19.5gb], spins? [possibly], types [ext4]
[2016-06-16 21:36:14,053][INFO ][env                      ] [Angela Del Toro] heap size [1015.6mb], compressed ordinary object pointers [true]
[2016-06-16 21:36:20,241][INFO ][node                     ] [Angela Del Toro] initialized
[2016-06-16 21:36:20,241][INFO ][node                     ] [Angela Del Toro] starting ...
[2016-06-16 21:36:20,400][INFO ][transport                ] [Angela Del Toro] publish_address {172.17.0.3:9300}, bound_addresses {[::]:9300}
[2016-06-16 21:36:20,407][INFO ][discovery                ] [Angela Del Toro] elasticsearch/ketVVDMtQCeBwj-x64E5yQ
[2016-06-16 21:36:23,565][INFO ][cluster.service          ] [Angela Del Toro] new_master {Angela Del Toro}{ketVVDMtQCeBwj-x64E5yQ}{172.17.0.3}{172.17.0.3:9300}, reason: zen-disco-join(elected_as_master, [0] joins received)
[2016-06-16 21:36:23,605][INFO ][http                     ] [Angela Del Toro] publish_address {172.17.0.3:9200}, bound_addresses {[::]:9200}
[2016-06-16 21:36:23,607][INFO ][node                     ] [Angela Del Toro] started
[2016-06-16 21:36:23,670][INFO ][gateway                  ] [Angela Del Toro] recovered [0] indices into cluster_state

Answer 1

是的，通过查看日志，内存就是问题所在，因为linux机器上只有512 of的内存，而且当时有很多容器在运行，所以elasticsearch的其他容器就会退出。这是以前没人遇到过的。结论:港口不是问题，只要您有足够的内存来运行这些码头集装箱，您可以多次运行相同的图像。

Answer 2

我认为my_es:v3是你的问题所在。如果您试图命名容器，请使用--name选项。你也不能在名字里“：”。

docker run -d --name my_es elasticsearch