一步一步教你搭建基于docker的MongoDB复制集群环境

一步一步教你搭建基于docker的MongoDB复制集群环境

1.安装docker

2.创建MongoDB的Image

3.搭建MongoDB的集群

Docker 是一个开源的应用容器引擎，让开发者可以打包他们的应用以及依赖包到一个可移植的容器中。

1.ubuntu14.04安装docker

参考文档 http://docs.docker.com/installation/ubuntulinux/ 参考文档 http://docs.docker.com/mac/started/ pc@pc-ThinkPad:~$ wget -qO-https://get.docker.com/ | sh
pc@pc-ThinkPad:~$ sudo usermod -aG docker pc
pc@pc-ThinkPad:~$ sudo reboot

如果是其他（更早）版本的Linux参考
安装Docker使用apt-get命令:
$ apt-get install docker.io
启动服务和守护进程
$ service docker.io status
$ service docker.io start
创建软连接：ln -sf /usr/bin/docker.io /usr/local/bin/docker
如没有提示错误则说明你已经在Ubuntu14.04上面快速安装Docker成功了。

卸载Uninstallation
$ sudo apt-get purge lxc-docker
To uninstall the Docker package and dependencies that are no longer needed:
$ sudo apt-get autoremove --purge lxc-docker

2.创建MongoDB的Image

pc@pc-ThinkPad:~$ docker pull ubuntu:14.04
pc@pc-ThinkPad:~$ sudo docker images
REPOSITORY          TAG                 IMAGE ID            CREATED             VIRTUAL SIZE
ubuntu              14.04               6d4946999d4f        3 weeks ago         188.3 MB
pc@pc-ThinkPad:~$

编写dockerfile
pc@pc-ThinkPad:~$ vim Dockerfile

#VERSION 0.1.0
FROM ubuntu:14.04

#Install some
RUN apt-get clean
RUN apt-get update
RUN apt-get install -y g++
RUN apt-get install -y openssh-server
RUN mkdir -p /var/run/sshd

#open port 22
EXPOSE 22
#CMD ["/usr/sbin/sshd", "-D"]

RUN apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv 7F0CEB10
ENV MONGO_MAJOR 3.0
RUN echo "deb http://repo.mongodb.org/apt/debian wheezy/mongodb-org/$MONGO_MAJOR main" > /etc/apt/sources.list.d/mongodb-org.list
# Install MongoDB
RUN apt-get update
RUN sudo apt-get install -y mongodb-org=3.0.4 mongodb-org-server=3.0.4 mongodb-org-shell=3.0.4 mongodb-org-mongos=3.0.4 mongodb-org-tools=3.0.4

# Create the MongoDB data directory
RUN mkdir -p /data/db

#open port 27017
EXPOSE 27017
ENTRYPOINT ["usr/bin/mongod"]

写好了Dockerfile 就可以生成带有mongodb的image ：后面是flag .表示当前路径的Dockerfile
pc@pc-ThinkPad:~$ sudo docker build -t pc/mongos:master .

再次查看一下docker image
pc@pc-ThinkPad:~$ sudo docker images
REPOSITORY          TAG                 IMAGE ID            CREATED             VIRTUAL SIZE
pc/mongod           master              6fcc1b62e091        54 minutes ago      542 MB
ubuntu              14.04               6d4946999d4f        4 weeks ago         188.3 MB

3.搭建MongoDB的集群

下面我们就启动3个基于mongod：master的container

pc@pc-ThinkPad:~$ sudo docker run --name rs_server1 -p 21117:27017 -d pc/mongod:master --noprealloc --smallfiles --replSet rs1
操作成功之后返回的就是容器的id
6306bf3057f8ebca79d7bd130ba35e260da7177925a85a1c9a3d5d21c551e0aa

后面两个容器同理
pc@pc-ThinkPad:~$ sudo docker run --name rs_server2 -p 22117:27017 -d pc/mongod:master --noprealloc --smallfiles --replSet rs1
b60c977313e1b6143c0346e1c6138c3ad4831818f6349fc98181fa76edbd2eff
pc@pc-ThinkPad:~$ sudo docker run --name rs_server3 -p 23117:27017 -d pc/mongod:master --noprealloc --smallfiles --replSet rs1
cebebc142a1bfed7162a06441ad841f4173c3f71c97f3dded8d5c3833ea9fa78

选择一个容器执行一下ifconfig 查看ip 一般都是同网段中递增的
pc@pc-ThinkPad:~$ sudo docker exec 6306bf3057f8ebca79d7bd130ba35e260da7177925a85a1c9a3d5d21c551e0aa ifconfig
eth0      Link encap:Ethernet  HWaddr 02:42:ac:11:00:01
inet addr:172.17.0.1  Bcast:0.0.0.0  Mask:255.255.0.0
inet6 addr: fe80::42:acff:fe11:1/64 Scope:Link
UP BROADCAST RUNNING  MTU:1500  Metric:1
RX packets:26 errors:0 dropped:0 overruns:0 frame:0
TX packets:10 errors:0 dropped:0 overruns:0 carrier:0
collisions:0 txqueuelen:0
RX bytes:2124 (2.1 KB)  TX bytes:828 (828.0 B)

lo        Link encap:Local Loopback
inet addr:127.0.0.1  Mask:255.0.0.0
inet6 addr: ::1/128 Scope:Host
UP LOOPBACK RUNNING  MTU:65536  Metric:1
RX packets:0 errors:0 dropped:0 overruns:0 frame:0
TX packets:0 errors:0 dropped:0 overruns:0 carrier:0
collisions:0 txqueuelen:0
RX bytes:0 (0.0 B)  TX bytes:0 (0.0 B)

可以想象 3个容器的ip应该是172.17.0.1 172.17.0.2 172.17.0.3

查看运行的容器
pc@pc-ThinkPad:~$ sudo docker ps -a
CONTAINER ID        IMAGE               COMMAND                CREATED              STATUS              PORTS                              NAMES
cebebc142a1b        pc/mongod:master    "usr/bin/mongod --no   About a minute ago   Up About a minute   22/tcp, 0.0.0.0:23117->27017/tcp   rs_server3
b60c977313e1        pc/mongod:master    "usr/bin/mongod --no   About a minute ago   Up About a minute   22/tcp, 0.0.0.0:22117->27017/tcp   rs_server2
6306bf3057f8        pc/mongod:master    "usr/bin/mongod --no   About a minute ago   Up About a minute   22/tcp, 0.0.0.0:21117->27017/tcp   rs_server1

从上述信息可以看出本机的21117 22117 23117  映射到docker的容器的端口上去了

使用本机mongo客户端连接到21117
pc@pc-ThinkPad:~$ mongo --port 21117
MongoDB shell version: 3.0.4
connecting to: 127.0.0.1:21117/test

开始配置 复制集的成员信息
> myconf = {"_id":"rs1","members":[
... {"_id":0,"host":"172.17.0.1:27017"},
... {"_id":1,"host":"172.17.0.2:27017"},
... {"_id":2,"host":"172.17.0.3:27017"}
... ]
... }
{
"_id" : "rs1",
"members" : [
{
"_id" : 0,
"host" : "172.17.0.1:27017"
},
{
"_id" : 1,
"host" : "172.17.0.2:27017"
},
{
"_id" : 2,
"host" : "172.17.0.3:27017"
}
]
}

初始化同步复制集群
> rs.initiate(myconf)
{ "ok" : 1 }

查看当前复制集的节点信息
rs1:OTHER> rs.isMaster()
{
"setName" : "rs1",
"setVersion" : 1,
"ismaster" : true,
"secondary" : false,
"hosts" : [
"172.17.0.1:27017",
"172.17.0.2:27017",
"172.17.0.3:27017"
],
"primary" : "172.17.0.1:27017",
"me" : "172.17.0.1:27017",
"electionId" : ObjectId("55a5cc505f7c25c88ad58e77"),
"maxBsonObjectSize" : 16777216,
"maxMessageSizeBytes" : 48000000,
"maxWriteBatchSize" : 1000,
"localTime" : ISODate("2015-07-15T02:58:30.831Z"),
"maxWireVersion" : 3,
"minWireVersion" : 0,
"ok" : 1
}
可以看出连接到的容器ip是172.17.0.1
也可以看见谁是主节点
rs1:PRIMARY> rs.status()
{
"set" : "rs1",
"date" : ISODate("2015-07-15T02:58:44.390Z"),
"myState" : 1,
"members" : [
{
"_id" : 0,
"name" : "172.17.0.1:27017",
"health" : 1,
"state" : 1,
"stateStr" : "PRIMARY",
"uptime" : 540,
"optime" : Timestamp(1436929097, 1),
"optimeDate" : ISODate("2015-07-15T02:58:17Z"),
"electionTime" : Timestamp(1436929104, 1),
"electionDate" : ISODate("2015-07-15T02:58:24Z"),
"configVersion" : 1,
"self" : true
},
{
"_id" : 1,
"name" : "172.17.0.2:27017",
"health" : 1,
"state" : 2,
"stateStr" : "SECONDARY",
"uptime" : 57,
"optime" : Timestamp(1436929097, 1),
"optimeDate" : ISODate("2015-07-15T02:58:17Z"),
"lastHeartbeat" : ISODate("2015-07-15T02:58:44.133Z"),
"lastHeartbeatRecv" : ISODate("2015-07-15T02:58:44.133Z"),
"pingMs" : 0,
"configVersion" : 1
},
{
"_id" : 2,
"name" : "172.17.0.3:27017",
"health" : 1,
"state" : 2,
"stateStr" : "SECONDARY",
"uptime" : 57,
"optime" : Timestamp(1436929097, 1),
"optimeDate" : ISODate("2015-07-15T02:58:17Z"),
"lastHeartbeat" : ISODate("2015-07-15T02:58:43.169Z"),
"lastHeartbeatRecv" : ISODate("2015-07-15T02:58:44.134Z"),
"pingMs" : 0,
"lastHeartbeatMessage" : "could not find member to sync from",
"configVersion" : 1
}
],
"ok" : 1
}
rs1:PRIMARY> rs.conf()
{
"_id" : "rs1",
"version" : 1,
"members" : [
{
"_id" : 0,
"host" : "172.17.0.1:27017",
"arbiterOnly" : false,
"buildIndexes" : true,
"hidden" : false,
"priority" : 1,
"tags" : {

},
"slaveDelay" : 0,
"votes" : 1
},
{
"_id" : 1,
"host" : "172.17.0.2:27017",
"arbiterOnly" : false,
"buildIndexes" : true,
"hidden" : false,
"priority" : 1,
"tags" : {

},
"slaveDelay" : 0,
"votes" : 1
},
{
"_id" : 2,
"host" : "172.17.0.3:27017",
"arbiterOnly" : false,
"buildIndexes" : true,
"hidden" : false,
"priority" : 1,
"tags" : {

},
"slaveDelay" : 0,
"votes" : 1
}
],
"settings" : {
"chainingAllowed" : true,
"heartbeatTimeoutSecs" : 10,
"getLastErrorModes" : {

},
"getLastErrorDefaults" : {
"w" : 1,
"wtimeout" : 0
}
}
}

另外开一个终端 连接到第二个容器
pc@pc-ThinkPad:~$ mongo --port 22117
MongoDB shell version: 3.0.4

rs1:SECONDARY> rs.isMaster()
{
"setName" : "rs1",
"setVersion" : 1,
"ismaster" : false,
"secondary" : true,
"hosts" : [
"172.17.0.1:27017",
"172.17.0.2:27017",
"172.17.0.3:27017"
],
"primary" : "172.17.0.1:27017",
"me" : "172.17.0.2:27017",
"maxBsonObjectSize" : 16777216,
"maxMessageSizeBytes" : 48000000,
"maxWriteBatchSize" : 1000,
"localTime" : ISODate("2015-07-15T02:59:27.121Z"),
"maxWireVersion" : 3,
"minWireVersion" : 0,
"ok" : 1
}
可以看到主节点的信息 和上个容器的信息一致
rs1:SECONDARY> rs.status()
{
"set" : "rs1",
"date" : ISODate("2015-07-15T03:14:10.512Z"),
"myState" : 2,
"members" : [
{
"_id" : 0,
"name" : "172.17.0.1:27017",
"health" : 1,
"state" : 1,
"stateStr" : "PRIMARY",
"uptime" : 981,
"optime" : Timestamp(1436929097, 1),
"optimeDate" : ISODate("2015-07-15T02:58:17Z"),
"lastHeartbeat" : ISODate("2015-07-15T03:14:10.478Z"),
"lastHeartbeatRecv" : ISODate("2015-07-15T03:14:10.478Z"),
"pingMs" : 0,
"electionTime" : Timestamp(1436929104, 1),
"electionDate" : ISODate("2015-07-15T02:58:24Z"),
"configVersion" : 1
},
{
"_id" : 1,
"name" : "172.17.0.2:27017",
"health" : 1,
"state" : 2,
"stateStr" : "SECONDARY",
"uptime" : 1452,
"optime" : Timestamp(1436929097, 1),
"optimeDate" : ISODate("2015-07-15T02:58:17Z"),
"infoMessage" : "could not find member to sync from",
"configVersion" : 1,
"self" : true
},
{
"_id" : 2,
"name" : "172.17.0.3:27017",
"health" : 1,
"state" : 2,
"stateStr" : "SECONDARY",
"uptime" : 981,
"optime" : Timestamp(1436929097, 1),
"optimeDate" : ISODate("2015-07-15T02:58:17Z"),
"lastHeartbeat" : ISODate("2015-07-15T03:14:09.523Z"),
"lastHeartbeatRecv" : ISODate("2015-07-15T03:14:09.523Z"),
"pingMs" : 0,
"configVersion" : 1
}
],
"ok" : 1
}

pc@pc-ThinkPad:~$ mongo --port 23117
MongoDB shell version: 3.0.4
connecting to: 127.0.0.1:23117/test
rs1:SECONDARY> rs.status()
{
"set" : "rs1",
"date" : ISODate("2015-07-15T03:13:25.167Z"),
"myState" : 2,
"members" : [
{
"_id" : 0,
"name" : "172.17.0.1:27017",
"health" : 1,
"state" : 1,
"stateStr" : "PRIMARY",
"uptime" : 936,
"optime" : Timestamp(1436929097, 1),
"optimeDate" : ISODate("2015-07-15T02:58:17Z"),
"lastHeartbeat" : ISODate("2015-07-15T03:13:24.479Z"),
"lastHeartbeatRecv" : ISODate("2015-07-15T03:13:23.531Z"),
"pingMs" : 0,
"electionTime" : Timestamp(1436929104, 1),
"electionDate" : ISODate("2015-07-15T02:58:24Z"),
"configVersion" : 1
},
{
"_id" : 1,
"name" : "172.17.0.2:27017",
"health" : 1,
"state" : 2,
"stateStr" : "SECONDARY",
"uptime" : 936,
"optime" : Timestamp(1436929097, 1),
"optimeDate" : ISODate("2015-07-15T02:58:17Z"),
"lastHeartbeat" : ISODate("2015-07-15T03:13:23.507Z"),
"lastHeartbeatRecv" : ISODate("2015-07-15T03:13:23.506Z"),
"pingMs" : 0,
"configVersion" : 1
},
{
"_id" : 2,
"name" : "172.17.0.3:27017",
"health" : 1,
"state" : 2,
"stateStr" : "SECONDARY",
"uptime" : 1392,
"optime" : Timestamp(1436929097, 1),
"optimeDate" : ISODate("2015-07-15T02:58:17Z"),
"configVersion" : 1,
"self" : true
}
],
"ok" : 1
}
如果在从节点此时查看数据库会出错 ，信息显示不是主节点
rs1:SECONDARY> show dbs;
××××××××××××××××××××××××××××××××××××

设置从节点可以读
rs1:SECONDARY> db.getMongo().setSlaveOk();
rs1:SECONDARY> show dbs;
local  1.031GB

打开先前与主节点的终端  插入点数据
rs1:PRIMARY> show dbs;
local  1.031GB

rs1:PRIMARY> use tt;
switched to db tt
rs1:PRIMARY> db.user.insert({"name":"mongodb is greate!!!!"})
WriteResult({ "nInserted" : 1 })

打开与备份节点的终端
rs1:SECONDARY> show dbs;
local  1.031GB
tt     0.031GB
rs1:SECONDARY> use tt
switched to db tt
rs1:SECONDARY> show collections;
system.indexes
user
多了个数据库 ，还多了条文档
rs1:SECONDARY> db.user.find()
{ "_id" : ObjectId("55a5d1390d49c20962937b52"), "name" : "mongodb is greate!!!!" }