MongoDB高可用部署
规划部署情况如下:
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1、准备基础环境
在网上下载MongoDB-linux-x86_64-rhel62-3.4.2.gz放到各个服务器上，解压后放在对应的目录下，然后在根目录下新建data文件夹统一用于存放数据和配置信息。
2、搭建配置集群243-244-245
在mongo的根目录下新建start脚本，内容如下
bin/./mongod --dbpath data/ --logpath data/mongo.log --configsvr --fork --port 20243 --replSet config
其中 configsvr表示配置服务，fork表示后台启动，replSet表示集群，config表示集群名字
同样在其他配置服务上也建立对应的start启动文件，记得修改端口哦。
启动-3台都启动
./start
随便进入一台机器，进入mongo，运行如下命令
>config = { _id:"config", configsvr:true, members:[ {_id:0,host:'172.16.13.243:20243'}, {_id:1,host:'172.16.13.244:20244'}, {_id:2,host:'172.16.13.245:20245'} ] }
{
"_id" : "config",
"configsvr" : true,
"members" : [
{
"_id" : 0,
"host" : "172.16.13.243:20243"
},
{
"_id" : 1,
"host" : "172.16.13.244:20244"
},
{
"_id" : 2,
"host" : "172.16.13.245:20245"
}
]
}
> rs.initiate(config)
{ "ok" : 1 }查看集群状态
config:PRIMARY> rs.status();
{
"set" : "config",
"date" : ISODate("2017-04-12T09:29:51.889Z"),
"myState" : 1,
"term" : NumberLong(1),
"configsvr" : true,
"heartbeatIntervalMillis" : NumberLong(2000),
"optimes" : {
"lastCommittedOpTime" : {
"ts" : Timestamp(1491989382, 1),
"t" : NumberLong(1)
},
"readConcernMajorityOpTime" : {
"ts" : Timestamp(1491989382, 1),
"t" : NumberLong(1)
},
"appliedOpTime" : {
"ts" : Timestamp(1491989382, 1),
"t" : NumberLong(1)
},
"durableOpTime" : {
"ts" : Timestamp(1491989382, 1),
"t" : NumberLong(1)
}
},
"members" : [
{
"_id" : 0,
"name" : "172.16.13.243:20243",
"health" : 1,
"state" : 1,
"stateStr" : "PRIMARY",
"uptime" : 621,
"optime" : {
"ts" : Timestamp(1491989382, 1),
"t" : NumberLong(1)
},
"optimeDate" : ISODate("2017-04-12T09:29:42Z"),
"infoMessage" : "could not find member to sync from",
"electionTime" : Timestamp(1491989360, 1),
"electionDate" : ISODate("2017-04-12T09:29:20Z"),
"configVersion" : 1,
"self" : true
},
{
"_id" : 1,
"name" : "172.16.13.244:20244",
"health" : 1,
"state" : 2,
"stateStr" : "SECONDARY",
"uptime" : 42,
"optime" : {
"ts" : Timestamp(1491989382, 1),
"t" : NumberLong(1)
},
"optimeDurable" : {
"ts" : Timestamp(1491989382, 1),
"t" : NumberLong(1)
},
"optimeDate" : ISODate("2017-04-12T09:29:42Z"),
"optimeDurableDate" : ISODate("2017-04-12T09:29:42Z"),
"lastHeartbeat" : ISODate("2017-04-12T09:29:50.238Z"),
"lastHeartbeatRecv" : ISODate("2017-04-12T09:29:51.467Z"),
"pingMs" : NumberLong(0),
"syncingTo" : "172.16.13.243:20243",
"configVersion" : 1
},
{
"_id" : 2,
"name" : "172.16.13.245:20245",
"health" : 1,
"state" : 2,
"stateStr" : "SECONDARY",
"uptime" : 42,
"optime" : {
"ts" : Timestamp(1491989382, 1),
"t" : NumberLong(1)
},
"optimeDurable" : {
"ts" : Timestamp(1491989382, 1),
"t" : NumberLong(1)
},
"optimeDate" : ISODate("2017-04-12T09:29:42Z"),
"optimeDurableDate" : ISODate("2017-04-12T09:29:42Z"),
"lastHeartbeat" : ISODate("2017-04-12T09:29:50.237Z"),
"lastHeartbeatRecv" : ISODate("2017-04-12T09:29:51.537Z"),
"pingMs" : NumberLong(0),
"syncingTo" : "172.16.13.243:20243",
"configVersion" : 1
}
],
"ok" : 1
}3、搭建分片集群246-247
在246机器的mongo的根目录下新建start脚本，内容如下
[root@localhost mongodb-32246]# cat start bin/./mongod --dbpath data/ --logpath data/mongo.log --fork --port 32246 --replSet 246 --shardsvr
replSet代表集群，shardsvr代表分片，246代表集群的名字，在246的其他mongo目录下也建立对应的start脚本，记得修改端口，启动脚本。
运行如下命令
config = {
... _id:'246',
... members:[
... {_id:0,host:'172.16.13.246:30246'},
... {_id:1,host:'172.16.13.246:31246'},
... {_id:2,host:'172.16.13.246:32246'}
... ]
... }
{
"_id" : "246",
"members" : [
{
"_id" : 0,
"host" : "172.16.13.246:30246"
},
{
"_id" : 1,
"host" : "172.16.13.246:31246"
},
{
"_id" : 2,
"host" : "172.16.13.246:32246"
}
]
}
> rs.initiate(config)
{ "ok" : 1 }查看集群状态
这里不在列出，同样的操作在247上执行一次，记得修改集群名字
4、搭建mongos
在241的mongos根目录下建立start脚本
[root@localhost mongodb-3.4.2]# cat start bin/./mongos --logpath data/mongo.log --fork --configdb config/172.16.13.243:20243,172.16.13.244:20244,172.16.13.245:20245
进入mongos的命令界面，
添加分片
mongos> sh.addShard("246/172.16.13.246:30246,172.16.13.246:31246,172.16.13.246:32246")
{ "shardAdded" : "246", "ok" : 1 }
mongos> sh.addShard("247/172.16.13.247:30247,172.16.13.247:31247,172.16.13.247:32247")
{ "shardAdded" : "247", "ok" : 1 }在242上也运行上述命令。
设置test.aj表根据_id字段按照hash方式分配数据
mongos> sh.enableSharding("test")
{ "ok" : 1 }
mongos> sh.shardCollection("test.aj", { _id: 'hashed'})
{ "collectionsharded" : "test.aj", "ok" : 1 }5、插入数据
for (var id = 1; id <= 10000; id++) db.aj.save({
"_class" : "java.util.HashMap",
"CAh" : "123",
"CCbrXm" : "wangchy",
"valid" : 0,
"fydm" : "2400",
"CAjmc" : "ptest",
"CCbr" : "ptest",
"WCreateTime" : ISODate("2015-10-13T18:29:06.649Z")
});6、验证结果
246主节点验证数据量
246:PRIMARY> db.aj.count(); 5082
246子节点验证数据量
246:SECONDARY> use test switched to db test 246:SECONDARY> db.getMongo().setSlaveOk(); 246:SECONDARY> db.aj.count(); 5082
247重复上述操作
247:PRIMARY> db.aj.count(); 4918 247:SECONDARY> use test; switched to db test 247:SECONDARY> db.getMongo().setSlaveOk(); 247:SECONDARY> db.aj.count(); 4918
本文标题：MongoDB高可用部署
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