我有一个容器设置来运行elasticsearch.服务启动但我无法通过curl或浏览器连接到它.
RUN \ cd /tmp && \ wget https://download.elasticsearch.org/elasticsearch/elasticsearch/elasticsearch- 1.3.2.tar.gz && \ tar xvzf elasticsearch-1.3.2.tar.gz && \ rm -f elasticsearch-1.3.2.tar.gz && \ mv /tmp/elasticsearch-1.3.2 /elasticsearch # Define mountable directories. VOLUME ["/data"] # Define default command. CMD ["/elasticsearch/bin/elasticsearch"] EXPOSE 9200 EXPOSE 9300
连接不http://localhost:9200
产生任何结果.docker ps显示端口;
0.0.0.0:49179->9200/tcp, 0.0.0.0:49180->9300/tcp ... net::ERR_ADDRESS_UNREACHABLE
我错过了一些配置值吗?谢谢!
[更新]我也在run命令中尝试了-p
docker run -i -p 9200:9200 -p 9300:9300 -t --rm -P team1/image1
小智.. 15
如果您在OSX上运行docker,请注意主机实际上是初始化boot2docker时安装的VirtualBox实例.所以在这种情况下,而不是使用:
curl http://localhost:9200
找到虚拟盒实例的IP,我将其称为VM_IP:
boot2docker ip
然后尝试:
curl http://
如果您在OSX上运行docker,请注意主机实际上是初始化boot2docker时安装的VirtualBox实例.所以在这种情况下,而不是使用:
curl http://localhost:9200
找到虚拟盒实例的IP,我将其称为VM_IP:
boot2docker ip
然后尝试:
curl http://<VM_IP>:9200
在docker容器中运行Elasticsearch时,我遇到了端口转发问题.我通过手动指定绑定Elasticsearch服务器的接口解决了这个问题docker run --rm -p 9200:9200 -p 9300:9300 --name=es elasticsearch:latest -Des.network.host=0.0.0.0
.
绑定部分是-Des.network.host=0.0.0.0
最后的部分.我在https://mad.is/2016/09/running-elasticsearch-in-docker-container/写了一篇博文,详细说明了这一点.
我测试了你的Dockerfile,但它确实有效.
FROM dockerfile/java RUN \ cd /tmp && \ wget https://download.elasticsearch.org/elasticsearch/elasticsearch/elasticsearch-1.3.2.tar.gz && \ tar xvzf elasticsearch-1.3.2.tar.gz && \ rm -f elasticsearch-1.3.2.tar.gz && \ mv /tmp/elasticsearch-1.3.2 /elasticsearch # Define mountable directories. VOLUME ["/data"] # Define default command. CMD ["/elasticsearch/bin/elasticsearch"] EXPOSE 9200 EXPOSE 9300
我尝试构建这个Dockerfile并运行它.
$ docker build -t 25312935 . $ docker run -t -p 9200:9200 -p 9300:9300 --rm 25312935 [2014-08-15 04:41:08,349][INFO ][node ] [Black Crow] version[1.3.2], pid[1], build[dee175d/2014-08-13T14:29:30Z] [2014-08-15 04:41:08,349][INFO ][node ] [Black Crow] initializing ... [2014-08-15 04:41:08,353][INFO ][plugins ] [Black Crow] loaded [], sites [] [2014-08-15 04:41:10,444][INFO ][node ] [Black Crow] initialized [2014-08-15 04:41:10,444][INFO ][node ] [Black Crow] starting ... [2014-08-15 04:41:10,547][INFO ][transport ] [Black Crow] bound_address {inet[/0:0:0:0:0:0:0:0:9300]}, publish_address {inet[/172.17.0.72:9300]} [2014-08-15 04:41:10,560][INFO ][discovery ] [Black Crow] elasticsearch/0mpczYoYSZCiAmbkxcsfpg [2014-08-15 04:41:13,601][INFO ][cluster.service ] [Black Crow] new_master [Black Crow][0mpczYoYSZCiAmbkxcsfpg][eeb3396b1ecc][inet[/172.17.0.72:9300]], reason: zen-disco-join (elected_as_master) [2014-08-15 04:41:13,615][INFO ][http ] [Black Crow] bound_address {inet[/0:0:0:0:0:0:0:0:9200]}, publish_address {inet[/172.17.0.72:9200]} [2014-08-15 04:41:13,615][INFO ][node ] [Black Crow] started [2014-08-15 04:41:13,634][INFO ][gateway ] [Black Crow] recovered [0] indices into cluster_state
如下所示,request 127.0.0.1:9200
返回json响应.
$ curl 127.0.0.1:9200 { "status" : 200, "name" : "Black Crow", "version" : { "number" : "1.3.2", }, "tagline" : "You Know, for Search" }
检查你的-p
选择.这意味着将容器的端口公开给主机.如果您没有明确写入主机端口,则docker会像下面一样分配随机端口.
$ docker run -t -p 9200 -p 9300 --rm 25312935 $ docker ps -l CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES 1aa4c2c84d04 25312935:latest /elasticsearch/bin/e 15 seconds ago Up 15 seconds 0.0.0.0:49153->9200/tcp, 0.0.0.0:49154->9300/tcp sad_shockley
0.0.0.0:49153->9200/tcp
意味着您可以通过主机的49153端口访问容器的9200端口.
$ curl 127.0.0.1:49153 { "status" : 200, "name" : "Golem", "version" : { "number" : "1.3.2", }, "tagline" : "You Know, for Search" }
所以如果你想使用主机s 9200 port, explicitly write the host port like
-p 9200:9200 or
-p 0.0.0.0:9200:9200`
$ docker ps -l CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES eeb3396b1ecc 25312935:latest /elasticsearch/bin/e 59 seconds ago Up 58 seconds 0.0.0.0:9200->9200/tcp, 0.0.0.0:9300->9300/tcp high_elion
如果仍然无效,请尝试--net=host
选项.您可以使用此选项在容器内使用主机网络堆栈.
$ docker run -t --net=host --rm 25312935 $ curl 127.0.0.1:9200 { "status" : 200, "name" : "Black Crow", "version" : { "number" : "1.3.2", }, "tagline" : "You Know, for Search" }
如果两者都不起作用,我认为您需要检查其他网络配置.