构建mongo-connector镜像
1.前提
服务器需要安装docker服务
需要能使用外网
使用mongo-connector需要pymongo(连接mongo用到的)和docmanager(连接es,solr等用到的).
秉承测试要多次原则,这里测试两次,构建时测试,导入后测试.
2.下载
我这里使用的是python镜像,因为mongo-connector基于python开发
pull镜像
[root@Ninemax-LPC3 ~]# docker pull daocloud.io/library/python:3.4.6-jessie |
镜像重命名(创建tag 删除原有tag)
[root@Ninemax-LPC3 ~]# docker images REPOSITORY TAG IMAGE ID CREATED VIRTUAL SIZE daocloud.io/library/python 3.4.6-jessie c323ccfafc9b 6 weeks ago 679.5 MB [root@Ninemax-LPC3 ~]# docker tag daocloud.io/library/python:3.4.6-jessie python:3.4.6 [root@Ninemax-LPC3 ~]# docker rmi daocloud.io/library/python:3.4.6-jessie Untagged: daocloud.io/library/python:3.4.6-jessie [root@Ninemax-LPC3 ~]# docker images REPOSITORY TAG IMAGE ID CREATED VIRTUAL SIZE python 3.4.6 c323ccfafc9b 6 weeks ago 679.5 MB |
3.安装mongo-connector
创建容器
[root@Ninemax-LPC3 ~]# docker images REPOSITORY TAG IMAGE ID CREATED VIRTUAL SIZE python 3.4.6 c323ccfafc9b 6 weeks ago 679.5 MB [root@Ninemax-LPC3 ~]# docker run --name mongo-connector -ti python:3.4.6 bash |
安装vim(此处可略过,看你心情!)
鉴于国内下载国外插件速度太TM慢了,先按这个,在开一个窗口连接去安装剩下的软件
root@fa9aaee571a8:/etc/apt# apt-get install vim 如果报错更新一下源索引: root@fa9aaee571a8:/etc/apt# apt-get update 更新后,再次尝试安装 root@fa9aaee571a8:/etc/apt# apt-get install vim |
安装pymongo
root@fa9aaee571a8:/# pip install pymongo Collecting pymongo Downloading pymongo-3.5.1-cp34-cp34m-manylinux1_x86_64.whl (366kB) 100% |████████████████████████████████| 368kB 26kB/s Installing collected packages: pymongo Successfully installed pymongo-3.5.1 |
安装docmanager
root@fa9aaee571a8:/# pip install 'elastic2-doc-manager[elastic5]' |
其他docmanager命令:
Target System | Install Command |
MongoDB | pip install mongo-connector |
Elasticsearch 1.x | pip install 'mongo-connector[elastic]' |
Amazon Elasticsearch 1.x Service | pip install 'mongo-connector[elastic-aws]' |
Elasticsearch 2.x | pip install 'mongo-connector[elastic2]' |
Amazon Elasticsearch 2.x Service | pip install 'mongo-connector[elastic2-aws]' |
Elasticsearch 5.x | pip install 'mongo-connector[elastic5]' |
Solr | pip install 'mongo-connector[solr]' |
安装mongo-connector
安装mongo-connector
root@fa9aaee571a8:/# pip install mongo-connector |
查看安装文件
root@fa9aaee571a8:/# pip list DEPRECATION: The default format will switch to columns in the future. You can use --format=(legacy|columns) (or define a format=(legacy|columns) in your pip.conf under the [list] section) to disable this warning. elastic2-doc-manager (0.3.0) elasticsearch (5.4.0) mongo-connector (2.5.1) pip (9.0.1) pymongo (3.5.1) setuptools (36.2.2) urllib3 (1.22) wheel (0.29.0) |
测试mongo-connector
root@fa9aaee571a8:/# mongo-connector -m 10.12.20.9:27017 -t 10.12.20.3:9201 -d elastic2_doc_manager -n nstlStorage.SOURCE_V01 Logging to /mongo-connector.log. |
导出容器
root@fa9aaee571a8:/# exit [root@Ninemax-LPC3 ~]# docker ps CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES fa9aaee571a8 python:3.4.6 "bash" 2 hours ago Up 4 minutes mongo-connector [root@Ninemax-LPC3 ~]# docker stop -t 0 fa9aaee571a8 fa9aaee571a8 [root@Ninemax-LPC3 ~]# docker export fa9aaee571a8 > ./mongo-connector.tar [root@Ninemax-LPC3 ~]# ls |grep mongo-connector.tar mongo-connector.tar |
4.测试
导入镜像
[root@Ninemax-LPC3 ~]# docker import - mongo-cennector:2.0 < mongo-connector.tar c1a26db626be25d8321b2d5d0715dae4c419048252aa6baa757f70b0c32eacc6 [root@Ninemax-LPC3 ~]# docker images REPOSITORY TAG IMAGE ID CREATED VIRTUAL SIZE mongo-cennector 2.0 c1a26db626be About a minute ago 719 MB python 3.4.6 c323ccfafc9b 6 weeks ago 679.5 MB |
创建容器
[root@Ninemax-LPC3 ~]# docker run -t -i --name mongo-cennector2 --net=host mongo-cennector:2.0 bash root@Ninemax-LPC3:/# |
测试
root@fa9aaee571a8:/# mongo-connector -m 10.12.20.9:27017 -t 10.12.20.3:9201 -d elastic2_doc_manager -n nstlStorage.SOURCE_V01 Logging to /mongo-connector.log. |
5.最后
这镜像贼鸡儿大,脑阔痛 (TvT)…… 哪天用dockefile构建个小的吧
镜像共享出来:docker pull registry.cn-qingdao.aliyuncs.com/ninemax/mongo-connector:python-1.0
