MongoDB复制集原理、环境配置及基本测试详解
一、MongoDB复制集概述
MongoDB复制集实现了冗余备份和故障转移两大功能,这样能保证数据库的高可用性。在生产环境,复制集至少包括三个节点,其中一个必须为主节点,一个从节点,一个仲裁节点。其中每一个节点都是mongod进程对应的实例,节点间通过心跳检查对方的状态。
primary节点:负责数据库的读写操作。
secondary节点:备份primary节点上的数据,可以有多个。
arbiter节点:主节点故障时,参与复制集剩下节点中选举一个新的primary节点。
二、搭建MongoDB复制集环境
1、环境准备:
1)主机环境
192.168.0.151 db01 ## primary节点
192.168.0.152 db02 ## secondary节点
192.168.0.153 db03 ## arbiter节点
2)创建搭建MongoDB用户
groupadd mongodb
useradd -g mongodb mongodb
3)安装mongodb软件
tar -zxvf mongodb-linux-x86_64-enterprise-rhel70-3.6.0.tgz
mv mongodb-linux-x86_64-enterprise-rhel70-3.6.0 mongodb-3.6.0
2、创建复制集中每个节点存放数据目录:
/home/mongodb/db_rs0/data/rs0
3、创建复制集中每个节点的日志目录:
/home/mongodb/db_rs0/logs
4、创建复制集中每个节点启动时所需的配置文件:
cat /home/mongodb/db_rs0/config_rs0/rs0.conf
dbpath = /home/mongodb/db_rs0/data/rs0
logpath = /home/mongodb/db_rs0/logs/rs0.log
logappend = true
journal = true
port = 40000
fork = true
maxConns = 5000
bind_ip = 0.0.0.0
replSet = rs0
5、启动三个节点对应的mongodb实例
bin/mongod --config /home/mongodb/db_rs0/config_rs0/rs0.conf
6、db01下进入mongodb客户端:
bin/mongo --port 40000
7、初始化复制集primary节点、添加second节点和arbiter节点:
1)初始化primary节点:
MongoDB Enterprise > rs.initiate({_id:'rs0',members:[{_id:1,host:'db01:40000'}]})
{
"ok" : 1,
"operationTime" : Timestamp(1513518326, 1),
"$clusterTime" : {
"clusterTime" : Timestamp(1513518326, 1),
"signature" : {
"hash" : BinData(0,"AAAAAAAAAAAAAAAAAAAAAAAAAAA="),
"keyId" : NumberLong(0)
}
}
}
MongoDB Enterprise rs0:SECONDARY> rs.conf()
{
"_id" : "rs0",
"version" : 1,
"protocolVersion" : NumberLong(1),
"members" : [
{
"_id" : 1,
"host" : "db01:40000",
"arbiterOnly" : false,
"buildIndexes" : true,
"hidden" : false,
"priority" : 1,
"tags" : {
},
"slaveDelay" : NumberLong(0),
"votes" : 1
}
],
"settings" : {
"chainingAllowed" : true,
"heartbeatIntervalMillis" : 2000,
"heartbeatTimeoutSecs" : 10,
"electionTimeoutMillis" : 10000,
"catchUpTimeoutMillis" : -1,
"catchUpTakeoverDelayMillis" : 30000,
"getLastErrorModes" : {
},
"getLastErrorDefaults" : {
"w" : 1,
"wtimeout" : 0
},
"replicaSetId" : ObjectId("5a3674f6be9a0ef57aaf73ac")
}
}
2)添加second节点和arbiter节点:
MongoDB Enterprise rs0:PRIMARY> rs.add("db02:40000")
{
"ok" : 1,
"operationTime" : Timestamp(1513518502, 1),
"$clusterTime" : {
"clusterTime" : Timestamp(1513518502, 1),
"signature" : {
"hash" : BinData(0,"AAAAAAAAAAAAAAAAAAAAAAAAAAA="),
"keyId" : NumberLong(0)
}
}
}
MongoDB Enterprise rs0:PRIMARY> rs.addArb("db03:40000")
{
"ok" : 1,
"operationTime" : Timestamp(1513518525, 1),
"$clusterTime" : {
"clusterTime" : Timestamp(1513518525, 1),
"signature" : {
"hash" : BinData(0,"AAAAAAAAAAAAAAAAAAAAAAAAAAA="),
"keyId" : NumberLong(0)
}
}
}
8、检查各个节点local库信息:
MongoDB Enterprise rs0:PRIMARY> use local
switched to db local
MongoDB Enterprise rs0:PRIMARY> show collections
me
oplog.rs
replset.election
replset.minvalid
startup_log
system.replset
system.rollback.id
MongoDB Enterprise rs0:SECONDARY> use local
switched to db local
MongoDB Enterprise rs0:SECONDARY>
MongoDB Enterprise rs0:SECONDARY>
MongoDB Enterprise rs0:SECONDARY> show collections
me
oplog.rs
replset.minvalid
replset.oplogTruncateAfterPoint
startup_log
system.replset
system.rollback.id
MongoDB Enterprise rs0:ARBITER> use local
switched to db local
MongoDB Enterprise rs0:ARBITER> show collections
me
replset.minvalid
startup_log
system.replset
system.rollback.id
9、检查复制集状态:
MongoDB Enterprise rs0:PRIMARY> rs.status()
{
"set" : "rs0", //复制集名称
"date" : ISODate("2017-12-17T13:49:23.671Z"), //当前实例所在服务器的时间
"myState" : 1, //当前节点成员在复制集中的位置,如1表示primary,2表示secondry。
"term" : NumberLong(1),
"heartbeatIntervalMillis" : NumberLong(2000),
"optimes" : {
"lastCommittedOpTime" : {
"ts" : Timestamp(1513518558, 1),
"t" : NumberLong(1)
},
"readConcernMajorityOpTime" : {
"ts" : Timestamp(1513518558, 1),
"t" : NumberLong(1)
},
"appliedOpTime" : {
"ts" : Timestamp(1513518558, 1),
"t" : NumberLong(1)
},
"durableOpTime" : {
"ts" : Timestamp(1513518558, 1),
"t" : NumberLong(1)
}
},
"members" : [ //复制集所有成员信息
{
"_id" : 1, //成员编号
"name" : "db01:40000", //成员所在服务器名称
"health" : 1, //成员在复制集中是否运行,1表示运行,0表示失败
"state" : 1, //成员在复制集中的状态,1表示主节点
"stateStr" : "PRIMARY", //成员在复制集中状态名称
"uptime" : 873, //成员在线时间,单位是秒
"optime" : { //本实例最近一次更改数据库的时间以及每秒执行的操作数据库的次数。
"ts" : Timestamp(1513518558, 1),
"t" : NumberLong(1)
},
"optimeDate" : ISODate("2017-12-17T13:49:18Z"),
"electionTime" : Timestamp(1513518326, 2),
"electionDate" : ISODate("2017-12-17T13:45:26Z"),
"configVersion" : 3,
"self" : true //成员为当前命令所在的服务器
},
{
"_id" : 2,
"name" : "db02:40000",
"health" : 1, //成员在复制集中是否运行,1表示运行,0表示失败
"state" : 2, //成员在复制集中的状态,2表示second节点
"stateStr" : "SECONDARY",
"uptime" : 61,
"optime" : {
"ts" : Timestamp(1513518558, 1),
"t" : NumberLong(1)
},
"optimeDurable" : {
"ts" : Timestamp(1513518558, 1),
"t" : NumberLong(1)
},
"optimeDate" : ISODate("2017-12-17T13:49:18Z"),
"optimeDurableDate" : ISODate("2017-12-17T13:49:18Z"),
"lastHeartbeat" : ISODate("2017-12-17T13:49:23.505Z"), //当前实例到此远端成员最近一次成功发送与接收心跳包的时间。
"lastHeartbeatRecv" : ISODate("2017-12-17T13:49:23.504Z"),
"pingMs" : NumberLong(0), //此远端成员到本实例间一个路由包的来回时间
"syncingTo" : "db01:40000", //此成员从哪个实例同步数据
"configVersion" : 3
},
{
"_id" : 3,
"name" : "db03:40000",
"health" : 1,
"state" : 7, //成员在复制集中的状态,7表示arbiter节点
"stateStr" : "ARBITER",
"uptime" : 38,
"lastHeartbeat" : ISODate("2017-12-17T13:49:23.505Z"),
"lastHeartbeatRecv" : ISODate("2017-12-17T13:49:20.562Z"),
"pingMs" : NumberLong(0),
"configVersion" : 3
}
],
"ok" : 1,
"operationTime" : Timestamp(1513518558, 1),
"$clusterTime" : {
"clusterTime" : Timestamp(1513518558, 1),
"signature" : {
"hash" : BinData(0,"AAAAAAAAAAAAAAAAAAAAAAAAAAA="),
"keyId" : NumberLong(0)
}
}
}
10、测试复制集
1)主节点插入数据:
MongoDB Enterprise rs0:PRIMARY> db
test
MongoDB Enterprise rs0:PRIMARY> for(var i =0; i <4; i ++){db.user.insert({userName:'gxt'+i,age:i})}
WriteResult({ "nInserted" : 1 })
MongoDB Enterprise rs0:PRIMARY> show collections
user
MongoDB Enterprise rs0:PRIMARY> db.user.find()
{ "_id" : ObjectId("5a3677b8041261917b9120a0"), "userName" : "gxt0", "age" : 0 }
{ "_id" : ObjectId("5a3677b8041261917b9120a1"), "userName" : "gxt1", "age" : 1 }
{ "_id" : ObjectId("5a3677b8041261917b9120a2"), "userName" : "gxt2", "age" : 2 }
{ "_id" : ObjectId("5a3677b8041261917b9120a3"), "userName" : "gxt3", "age" : 3 }
2)从节点检查复制情况:
MongoDB Enterprise rs0:SECONDARY> db
test
MongoDB Enterprise rs0:SECONDARY> show collections
2017-12-17T21:57:37.136+0800 E QUERY [thread1] Error: listCollections failed: {
"operationTime" : Timestamp(1513519048, 1),
"ok" : 0,
"errmsg" : "not master and slaveOk=false", //因为secondary是不允许读写的,如果非要解决,则执行:rs.slaveOk()
"code" : 13435,
"codeName" : "NotMasterNoSlaveOk",
"$clusterTime" : {
"clusterTime" : Timestamp(1513519048, 1),
"signature" : {
"hash" : BinData(0,"AAAAAAAAAAAAAAAAAAAAAAAAAAA="),
"keyId" : NumberLong(0)
}
}
} :
_getErrorWithCode@src/mongo/shell/utils.js:25:13
DB.prototype._getCollectionInfosCommand@src/mongo/shell/db.js:941:1
DB.prototype.getCollectionInfos@src/mongo/shell/db.js:953:19
DB.prototype.getCollectionNames@src/mongo/shell/db.js:964:16
shellHelper.show@src/mongo/shell/utils.js:803:9
shellHelper@src/mongo/shell/utils.js:700:15
@(shellhelp2):1:1
MongoDB Enterprise rs0:SECONDARY> rs.slaveOk()
MongoDB Enterprise rs0:SECONDARY> db
test
MongoDB Enterprise rs0:SECONDARY> show collections
user
MongoDB Enterprise rs0:SECONDARY> db.user.find()
{ "_id" : ObjectId("5a3677b8041261917b9120a0"), "userName" : "gxt0", "age" : 0 }
{ "_id" : ObjectId("5a3677b8041261917b9120a1"), "userName" : "gxt1", "age" : 1 }
{ "_id" : ObjectId("5a3677b8041261917b9120a2"), "userName" : "gxt2", "age" : 2 }
{ "_id" : ObjectId("5a3677b8041261917b9120a3"), "userName" : "gxt3", "age" : 3 }
通过db.user.find()查询到和主复制集上一样的数据,表示数据同步成功!
3)arbiter节点检查数据情况:
MongoDB Enterprise rs0:ARBITER> db
test
MongoDB Enterprise rs0:ARBITER> show collections
2017-12-17T22:05:18.090+0800 E QUERY [thread1] Error: listCollections failed: {
"ok" : 0,
"errmsg" : "not master and slaveOk=false",
"code" : 13435,
"codeName" : "NotMasterNoSlaveOk"
} :
_getErrorWithCode@src/mongo/shell/utils.js:25:13
DB.prototype._getCollectionInfosCommand@src/mongo/shell/db.js:941:1
DB.prototype.getCollectionInfos@src/mongo/shell/db.js:953:19
DB.prototype.getCollectionNames@src/mongo/shell/db.js:964:16
shellHelper.show@src/mongo/shell/utils.js:803:9
shellHelper@src/mongo/shell/utils.js:700:15
@(shellhelp2):1:1
MongoDB Enterprise rs0:ARBITER> rs.slaveOk()
MongoDB Enterprise rs0:ARBITER> show collections
arbiter并没有进行数据同步,因为仲裁节点只参与投票,不接收数据!
三、复制集工作原理
复制集通过local库下的oplog.rs集合进行数据同步。
四、测试MongoDB复制集自动故障转移功能
MongoDB复制集搭建完成后,相当于具备了备份的功能,上文中已经展示过,这里不再赘述,下面我们主要测试一下MongoDB的另一大功能,自动故障转移的功能。
1、MongoDB的second节点宕机
通过kill second节点进行测试:
1)查看集群状态,所有节点运行正常:
MongoDB Enterprise rs0:PRIMARY> rs.status()
{
"set" : "rs0",
"date" : ISODate("2017-12-17T14:43:37.210Z"),
"myState" : 1,
"term" : NumberLong(1),
"heartbeatIntervalMillis" : NumberLong(2000),
"optimes" : {
"lastCommittedOpTime" : {
"ts" : Timestamp(1513521808, 1),
"t" : NumberLong(1)
},
"readConcernMajorityOpTime" : {
"ts" : Timestamp(1513521808, 1),
"t" : NumberLong(1)
},
"appliedOpTime" : {
"ts" : Timestamp(1513521808, 1),
"t" : NumberLong(1)
},
"durableOpTime" : {
"ts" : Timestamp(1513521808, 1),
"t" : NumberLong(1)
}
},
"members" : [
{
"_id" : 1,
"name" : "db01:40000",
"health" : 1,
"state" : 1,
"stateStr" : "PRIMARY",
"uptime" : 4127,
"optime" : {
"ts" : Timestamp(1513521808, 1),
"t" : NumberLong(1)
},
"optimeDate" : ISODate("2017-12-17T14:43:28Z"),
"electionTime" : Timestamp(1513518326, 2),
"electionDate" : ISODate("2017-12-17T13:45:26Z"),
"configVersion" : 3,
"self" : true
},
{
"_id" : 2,
"name" : "db02:40000",
"health" : 1,
"state" : 2, //健康
"stateStr" : "SECONDARY",
"uptime" : 3314,
"optime" : {
"ts" : Timestamp(1513521808, 1),
"t" : NumberLong(1)
},
"optimeDurable" : {
"ts" : Timestamp(1513521808, 1),
"t" : NumberLong(1)
},
"optimeDate" : ISODate("2017-12-17T14:43:28Z"),
"optimeDurableDate" : ISODate("2017-12-17T14:43:28Z"),
"lastHeartbeat" : ISODate("2017-12-17T14:43:35.254Z"),
"lastHeartbeatRecv" : ISODate("2017-12-17T14:43:35.240Z"),
"pingMs" : NumberLong(0),
"syncingTo" : "db01:40000",
"configVersion" : 3
},
{
"_id" : 3,
"name" : "db03:40000",
"health" : 1,
"state" : 7,
"stateStr" : "ARBITER",
"uptime" : 3291,
"lastHeartbeat" : ISODate("2017-12-17T14:43:35.254Z"),
"lastHeartbeatRecv" : ISODate("2017-12-17T14:43:36.323Z"),
"pingMs" : NumberLong(0),
"configVersion" : 3
}
],
"ok" : 1,
"operationTime" : Timestamp(1513521808, 1),
"$clusterTime" : {
"clusterTime" : Timestamp(1513521808, 1),
"signature" : {
"hash" : BinData(0,"AAAAAAAAAAAAAAAAAAAAAAAAAAA="),
"keyId" : NumberLong(0)
}
}
}
2)kill second节点进程:
[mongodb@db02 mongodb-3.6.0]$ ps -ef|grep mongo
root 2313 2254 0 20:27 pts/0 00:00:00 su - mongodb
mongodb 2314 2313 0 20:27 pts/0 00:00:00 -bash
root 2625 2469 0 20:47 pts/1 00:00:00 su - mongodb
mongodb 2626 2625 0 20:47 pts/1 00:00:00 -bash
mongodb 3378 1 0 21:34 ? 00:00:24 bin/mongod --config /home/mongodb/db_rs0/config_rs0/rs0.conf
mongodb 4083 2314 0 22:44 pts/0 00:00:00 ps -ef
mongodb 4084 2314 0 22:44 pts/0 00:00:00 grep --color=auto mongo
[mongodb@db02 mongodb-3.6.0]$ kill -9 3378
[mongodb@db02 mongodb-3.6.0]$ ps -ef|grep mongo
root 2313 2254 0 20:27 pts/0 00:00:00 su - mongodb
mongodb 2314 2313 0 20:27 pts/0 00:00:00 -bash
root 2625 2469 0 20:47 pts/1 00:00:00 su - mongodb
mongodb 2626 2625 0 20:47 pts/1 00:00:00 -bash
mongodb 4085 2314 0 22:44 pts/0 00:00:00 ps -ef
mongodb 4086 2314 0 22:44 pts/0 00:00:00 grep --color=auto mongo
3)再次查看节点状态,发现second节点已经宕机:
MongoDB Enterprise rs0:PRIMARY> rs.status()
{
"set" : "rs0",
"date" : ISODate("2017-12-17T14:44:33.514Z"),
"myState" : 1,
"term" : NumberLong(1),
"heartbeatIntervalMillis" : NumberLong(2000),
"optimes" : {
"lastCommittedOpTime" : {
"ts" : Timestamp(1513521848, 1),
"t" : NumberLong(1)
},
"readConcernMajorityOpTime" : {
"ts" : Timestamp(1513521848, 1),
"t" : NumberLong(1)
},
"appliedOpTime" : {
"ts" : Timestamp(1513521868, 1),
"t" : NumberLong(1)
},
"durableOpTime" : {
"ts" : Timestamp(1513521868, 1),
"t" : NumberLong(1)
}
},
"members" : [
{
"_id" : 1,
"name" : "db01:40000",
"health" : 1,
"state" : 1,
"stateStr" : "PRIMARY",
"uptime" : 4183,
"optime" : {
"ts" : Timestamp(1513521868, 1),
"t" : NumberLong(1)
},
"optimeDate" : ISODate("2017-12-17T14:44:28Z"),
"electionTime" : Timestamp(1513518326, 2),
"electionDate" : ISODate("2017-12-17T13:45:26Z"),
"configVersion" : 3,
"self" : true
},
{
"_id" : 2,
"name" : "db02:40000",
"health" : 0,
"state" : 8, //second节点宕机
"stateStr" : "(not reachable/healthy)",
"uptime" : 0,
"optime" : {
"ts" : Timestamp(0, 0),
"t" : NumberLong(-1)
},
"optimeDurable" : {
"ts" : Timestamp(0, 0),
"t" : NumberLong(-1)
},
"optimeDate" : ISODate("1970-01-01T00:00:00Z"),
"optimeDurableDate" : ISODate("1970-01-01T00:00:00Z"),
"lastHeartbeat" : ISODate("2017-12-17T14:44:33.301Z"),
"lastHeartbeatRecv" : ISODate("2017-12-17T14:44:17.267Z"),
"pingMs" : NumberLong(0),
"lastHeartbeatMessage" : "Connection refused",
"configVersion" : -1
},
{
"_id" : 3,
"name" : "db03:40000",
"health" : 1,
"state" : 7,
"stateStr" : "ARBITER",
"uptime" : 3348,
"lastHeartbeat" : ISODate("2017-12-17T14:44:33.288Z"),
"lastHeartbeatRecv" : ISODate("2017-12-17T14:44:31.334Z"),
"pingMs" : NumberLong(0),
"configVersion" : 3
}
],
"ok" : 1,
"operationTime" : Timestamp(1513521868, 1),
"$clusterTime" : {
"clusterTime" : Timestamp(1513521868, 1),
"signature" : {
"hash" : BinData(0,"AAAAAAAAAAAAAAAAAAAAAAAAAAA="),
"keyId" : NumberLong(0)
}
}
}
4)主节点向测试表插入一条记录,一切操作正常:
MongoDB Enterprise rs0:PRIMARY> db.scores.insert({stuid:1,subobject:"math",score:99})
WriteResult({ "nInserted" : 1 })
MongoDB Enterprise rs0:PRIMARY> db.scores.find()
{ "_id" : ObjectId("5a36810c041261917b9120a5"), "stuid" : 1, "subobject" : "math", "score" : 99 }
{ "_id" : ObjectId("5a3682fe041261917b9120a7"), "stuid" : 1, "subobject" : "math", "score" : 99 }
5)再次启动从节点,检查步骤4primary节点操作集合,发现数据正常同步到从节点:
MongoDB Enterprise rs0:SECONDARY> rs.slaveOk()
MongoDB Enterprise rs0:SECONDARY> show collections
scores
user
MongoDB Enterprise rs0:SECONDARY> db.scores.find()
{ "_id" : ObjectId("5a36810c041261917b9120a5"), "stuid" : 1, "subobject" : "math", "score" : 99 }
{ "_id" : ObjectId("5a3682fe041261917b9120a7"), "stuid" : 1, "subobject" : "math", "score" : 99 }
2、MongoDB的primary节点宕机
1)检查复制集运行状态
MongoDB Enterprise rs0:PRIMARY> rs.status()
{
"set" : "rs0",
"date" : ISODate("2017-12-17T14:56:52.953Z"),
"myState" : 1,
"term" : NumberLong(1),
"heartbeatIntervalMillis" : NumberLong(2000),
"optimes" : {
"lastCommittedOpTime" : {
"ts" : Timestamp(1513522608, 1),
"t" : NumberLong(1)
},
"readConcernMajorityOpTime" : {
"ts" : Timestamp(1513522608, 1),
"t" : NumberLong(1)
},
"appliedOpTime" : {
"ts" : Timestamp(1513522608, 1),
"t" : NumberLong(1)
},
"durableOpTime" : {
"ts" : Timestamp(1513522608, 1),
"t" : NumberLong(1)
}
},
"members" : [
{
"_id" : 1,
"name" : "db01:40000",
"health" : 1,
"state" : 1,
"stateStr" : "PRIMARY",
"uptime" : 4922,
"optime" : {
"ts" : Timestamp(1513522608, 1),
"t" : NumberLong(1)
},
"optimeDate" : ISODate("2017-12-17T14:56:48Z"),
"electionTime" : Timestamp(1513518326, 2),
"electionDate" : ISODate("2017-12-17T13:45:26Z"),
"configVersion" : 3,
"self" : true
},
{
"_id" : 2,
"name" : "db02:40000",
"health" : 1,
"state" : 2,
"stateStr" : "SECONDARY",
"uptime" : 649,
"optime" : {
"ts" : Timestamp(1513522608, 1),
"t" : NumberLong(1)
},
"optimeDurable" : {
"ts" : Timestamp(1513522608, 1),
"t" : NumberLong(1)
},
"optimeDate" : ISODate("2017-12-17T14:56:48Z"),
"optimeDurableDate" : ISODate("2017-12-17T14:56:48Z"),
"lastHeartbeat" : ISODate("2017-12-17T14:56:51.820Z"),
"lastHeartbeatRecv" : ISODate("2017-12-17T14:56:51.844Z"),
"pingMs" : NumberLong(0),
"syncingTo" : "db01:40000",
"configVersion" : 3
},
{
"_id" : 3,
"name" : "db03:40000",
"health" : 1,
"state" : 7,
"stateStr" : "ARBITER",
"uptime" : 4087,
"lastHeartbeat" : ISODate("2017-12-17T14:56:51.743Z"),
"lastHeartbeatRecv" : ISODate("2017-12-17T14:56:51.518Z"),
"pingMs" : NumberLong(0),
"configVersion" : 3
}
],
"ok" : 1,
"operationTime" : Timestamp(1513522608, 1),
"$clusterTime" : {
"clusterTime" : Timestamp(1513522608, 1),
"signature" : {
"hash" : BinData(0,"AAAAAAAAAAAAAAAAAAAAAAAAAAA="),
"keyId" : NumberLong(0)
}
}
}
2)kill掉主节点
[mongodb@db01 mongodb-3.6.0]$ ps -ef|grep mongo
root 3082 3056 0 20:26 pts/0 00:00:00 su - mongodb
mongodb 3083 3082 0 20:26 pts/0 00:00:00 -bash
root 3266 3139 0 20:46 pts/1 00:00:00 su - mongodb
mongodb 3267 3266 0 20:46 pts/1 00:00:00 -bash
root 3316 3299 0 20:50 pts/2 00:00:00 su - mongodb
mongodb 3317 3316 0 20:50 pts/2 00:00:00 -bash
mongodb 3771 1 0 21:34 ? 00:00:30 bin/mongod --config /home/mongodb/db_rs0/config_rs0/rs0.conf
mongodb 3935 3083 0 22:57 pts/0 00:00:00 ps -ef
mongodb 3936 3083 0 22:57 pts/0 00:00:00 grep --color=auto mongo
[mongodb@db01 mongodb-3.6.0]$ kill -9 3771
[mongodb@db01 mongodb-3.6.0]$ ps -ef|grep mongo
root 3082 3056 0 20:26 pts/0 00:00:00 su - mongodb
mongodb 3083 3082 0 20:26 pts/0 00:00:00 -bash
root 3266 3139 0 20:46 pts/1 00:00:00 su - mongodb
mongodb 3267 3266 0 20:46 pts/1 00:00:00 -bash
root 3316 3299 0 20:50 pts/2 00:00:00 su - mongodb
mongodb 3317 3316 0 20:50 pts/2 00:00:00 -bash
mongodb 3937 3083 0 22:57 pts/0 00:00:00 ps -ef
mongodb 3938 3083 0 22:57 pts/0 00:00:00 grep --color=auto mongo
3)再次检查集群运行状态
MongoDB Enterprise rs0:SECONDARY>
MongoDB Enterprise rs0:PRIMARY> rs.status() //从提示我们可以看到secondary节点已经变成了主节点
{
"set" : "rs0",
"date" : ISODate("2017-12-17T14:58:24.922Z"),
"myState" : 1,
"term" : NumberLong(2),
"heartbeatIntervalMillis" : NumberLong(2000),
"optimes" : {
"lastCommittedOpTime" : {
"ts" : Timestamp(1513522668, 1),
"t" : NumberLong(1)
},
"readConcernMajorityOpTime" : {
"ts" : Timestamp(1513522668, 1),
"t" : NumberLong(1)
},
"appliedOpTime" : {
"ts" : Timestamp(1513522703, 1),
"t" : NumberLong(2)
},
"durableOpTime" : {
"ts" : Timestamp(1513522703, 1),
"t" : NumberLong(2)
}
},
"members" : [
{
"_id" : 1,
"name" : "db01:40000",
"health" : 0,
"state" : 8, //主节点宕机
"stateStr" : "(not reachable/healthy)",
"uptime" : 0,
"optime" : {
"ts" : Timestamp(0, 0),
"t" : NumberLong(-1)
},
"optimeDurable" : {
"ts" : Timestamp(0, 0),
"t" : NumberLong(-1)
},
"optimeDate" : ISODate("1970-01-01T00:00:00Z"),
"optimeDurableDate" : ISODate("1970-01-01T00:00:00Z"),
"lastHeartbeat" : ISODate("2017-12-17T14:58:24.620Z"),
"lastHeartbeatRecv" : ISODate("2017-12-17T14:57:51.856Z"),
"pingMs" : NumberLong(0),
"lastHeartbeatMessage" : "Connection refused",
"configVersion" : -1
},
{
"_id" : 2,
"name" : "db02:40000",
"health" : 1,
"state" : 1,
"stateStr" : "PRIMARY", //原secondary节点已经变为主节点
"uptime" : 744,
"optime" : {
"ts" : Timestamp(1513522703, 1),
"t" : NumberLong(2)
},
"optimeDate" : ISODate("2017-12-17T14:58:23Z"),
"infoMessage" : "could not find member to sync from",
"electionTime" : Timestamp(1513522682, 1),
"electionDate" : ISODate("2017-12-17T14:58:02Z"),
"configVersion" : 3,
"self" : true
},
{
"_id" : 3,
"name" : "db03:40000",
"health" : 1,
"state" : 7,
"stateStr" : "ARBITER",
"uptime" : 743,
"lastHeartbeat" : ISODate("2017-12-17T14:58:24.601Z"),
"lastHeartbeatRecv" : ISODate("2017-12-17T14:58:21.549Z"),
"pingMs" : NumberLong(0),
"configVersion" : 3
}
],
"ok" : 1,
"operationTime" : Timestamp(1513522703, 1),
"$clusterTime" : {
"clusterTime" : Timestamp(1513522703, 1),
"signature" : {
"hash" : BinData(0,"AAAAAAAAAAAAAAAAAAAAAAAAAAA="),
"keyId" : NumberLong(0)
}
}
}
4)新主节点插入测试数据,一切操作正常
MongoDB Enterprise rs0:PRIMARY> db
test
MongoDB Enterprise rs0:PRIMARY> show collections
scores
user
MongoDB Enterprise rs0:PRIMARY> db.scores.insert({stuid:1,subobject:"math",score:99})
WriteResult({ "nInserted" : 1 })
MongoDB Enterprise rs0:PRIMARY> db.scores.find()
{ "_id" : ObjectId("5a36810c041261917b9120a5"), "stuid" : 1, "subobject" : "math", "score" : 99 }
{ "_id" : ObjectId("5a3682fe041261917b9120a7"), "stuid" : 1, "subobject" : "math", "score" : 99 }
{ "_id" : ObjectId("5a3686bb1e50f07a6a2d207d"), "stuid" : 1, "subobject" : "math", "score" : 99 }
5)重新启动原主节点,查看集群状态
MongoDB Enterprise rs0:PRIMARY> rs.status()
{
"set" : "rs0",
"date" : ISODate("2017-12-17T15:02:28.114Z"),
"myState" : 1,
"term" : NumberLong(2),
"heartbeatIntervalMillis" : NumberLong(2000),
"optimes" : {
"lastCommittedOpTime" : {
"ts" : Timestamp(1513522943, 1),
"t" : NumberLong(2)
},
"readConcernMajorityOpTime" : {
"ts" : Timestamp(1513522943, 1),
"t" : NumberLong(2)
},
"appliedOpTime" : {
"ts" : Timestamp(1513522943, 1),
"t" : NumberLong(2)
},
"durableOpTime" : {
"ts" : Timestamp(1513522943, 1),
"t" : NumberLong(2)
}
},
"members" : [
{
"_id" : 1,
"name" : "db01:40000",
"health" : 1,
"state" : 2,
"stateStr" : "SECONDARY", //原主节点已经变为从节点
"uptime" : 19,
"optime" : {
"ts" : Timestamp(1513522943, 1),
"t" : NumberLong(2)
},
"optimeDurable" : {
"ts" : Timestamp(1513522943, 1),
"t" : NumberLong(2)
},
"optimeDate" : ISODate("2017-12-17T15:02:23Z"),
"optimeDurableDate" : ISODate("2017-12-17T15:02:23Z"),
"lastHeartbeat" : ISODate("2017-12-17T15:02:26.998Z"),
"lastHeartbeatRecv" : ISODate("2017-12-17T15:02:27.971Z"),
"pingMs" : NumberLong(0),
"syncingTo" : "db02:40000",
"configVersion" : 3
},
{
"_id" : 2,
"name" : "db02:40000",
"health" : 1,
"state" : 1,
"stateStr" : "PRIMARY",
"uptime" : 988,
"optime" : {
"ts" : Timestamp(1513522943, 1),
"t" : NumberLong(2)
},
"optimeDate" : ISODate("2017-12-17T15:02:23Z"),
"electionTime" : Timestamp(1513522682, 1),
"electionDate" : ISODate("2017-12-17T14:58:02Z"),
"configVersion" : 3,
"self" : true
},
{
"_id" : 3,
"name" : "db03:40000",
"health" : 1,
"state" : 7,
"stateStr" : "ARBITER",
"uptime" : 986,
"lastHeartbeat" : ISODate("2017-12-17T15:02:26.754Z"),
"lastHeartbeatRecv" : ISODate("2017-12-17T15:02:26.603Z"),
"pingMs" : NumberLong(0),
"configVersion" : 3
}
],
"ok" : 1,
"operationTime" : Timestamp(1513522943, 1),
"$clusterTime" : {
"clusterTime" : Timestamp(1513522943, 1),
"signature" : {
"hash" : BinData(0,"AAAAAAAAAAAAAAAAAAAAAAAAAAA="),
"keyId" : NumberLong(0)
}
}
}
6)查看步骤4插入测试数据信息
MongoDB Enterprise rs0:SECONDARY> db
test
MongoDB Enterprise rs0:SECONDARY> show collections
2017-12-17T23:03:33.650+0800 E QUERY [thread1] Error: listCollections failed: {
"operationTime" : Timestamp(1513523003, 1),
"ok" : 0,
"errmsg" : "not master and slaveOk=false",
"code" : 13435,
"codeName" : "NotMasterNoSlaveOk",
"$clusterTime" : {
"clusterTime" : Timestamp(1513523003, 1),
"signature" : {
"hash" : BinData(0,"AAAAAAAAAAAAAAAAAAAAAAAAAAA="),
"keyId" : NumberLong(0)
}
}
} :
_getErrorWithCode@src/mongo/shell/utils.js:25:13
DB.prototype._getCollectionInfosCommand@src/mongo/shell/db.js:941:1
DB.prototype.getCollectionInfos@src/mongo/shell/db.js:953:19
DB.prototype.getCollectionNames@src/mongo/shell/db.js:964:16
shellHelper.show@src/mongo/shell/utils.js:803:9
shellHelper@src/mongo/shell/utils.js:700:15
@(shellhelp2):1:1
MongoDB Enterprise rs0:SECONDARY> rs.slaveOk()
MongoDB Enterprise rs0:SECONDARY> show collections
scores
user
MongoDB Enterprise rs0:SECONDARY> db.scores.find()
{ "_id" : ObjectId("5a36810c041261917b9120a5"), "stuid" : 1, "subobject" : "math", "score" : 99 }
{ "_id" : ObjectId("5a3682fe041261917b9120a7"), "stuid" : 1, "subobject" : "math", "score" : 99 }
{ "_id" : ObjectId("5a3686bb1e50f07a6a2d207d"), "stuid" : 1, "subobject" : "math", "score" : 99 }
集群运转正常,数据已经正常同步过来。
MongoDB复制集原理、环境配置及基本测试详解的更多相关文章
- MongoDB复制集原理
版权声明:本文由孔德雨原创文章,转载请注明出处: 文章原文链接:https://www.qcloud.com/community/article/136 来源:腾云阁 https://www.qclo ...
- 数据源管理 | Kafka集群环境搭建,消息存储机制详解
本文源码:GitHub·点这里 || GitEE·点这里 一.Kafka集群环境 1.环境版本 版本:kafka2.11,zookeeper3.4 注意:这里zookeeper3.4也是基于集群模式部 ...
- centos6.5环境下zookeeper-3.4.6集群环境部署及单机部署详解
centos6.5环境下Zookeeper-3.4.6集群环境部署 [系统]Centos 6.5 集群部署 [软件]准备好jdk环境,此次我们的环境是open_jdk1.8.0_101 zookeep ...
- Java环境配置与编译运行详解
这篇文章主要为大家详细介绍了Java环境配置与编译运行的相关资料,具有一定的参考价值,感兴趣的小伙伴们可以参考一下 一.开篇 通过对之前Java之路的了解之后,相信初学者们都对Java有了一个比较深印 ...
- Mongodb 基础 复制集原理和搭建
数据复制原理 开启复制集后,主节点会在local库下生成一个集合叫 oplog.rs,这是一个有限的集合,即大小固定.这个集合记入了整个mongod实例一段时间内数据库的所有变更操作(如:增/删/改) ...
- MongoDB复制集的工作原理介绍(二)
复制集工作原理 1)数据复制原理 开启复制集后,主节点会在 local 库下生成一个集合叫 oplog.rs,这是一个有限集合,也就是大小是固定的.其中记录的是整个mongod实例一段时间内数据库的所 ...
- MongoDB 复制集节点增加移除及节点属性配置
复制集(replica Set)或者副本集是MongoDB的核心高可用特性之一,它基于主节点的oplog日志持续传送到辅助节点,并重放得以实现主从节点一致.再结合心跳机制,当感知到主节点不可访问或宕机 ...
- MongoDB学习4:MongoDB复制集机制和原理,搭建复制集
1.复制集的作用 1.1 MongoDB复制集的主要意义在于实现服务高可用 1.2 它的实现依赖于两个方面的功能: · 数据写入时将数据迅速复制到另一个独立节点上 · 在接收写入的 ...
- spring mongodb 复制集配置(实现读写分离)
注:mongodb当前版本是3.4.3 spring连接mongodb复制集的字符串格式: mongodb://[username:password@]host1[:port1][,host2[: ...
随机推荐
- py下windows用户安装lxml
windows用户在安装lxml可能会因为缺少C语言库报错可以选择到Unofficial Windows Binaries for Python Extension Packages下载whl文件 例 ...
- Django表单介绍
HTML 表单 在HTML中,表单是<form>...</form> 之间元素的集合,它们允许访问者输入文本.选择选项.操作对象和控制等等,然后将信息发送回服务器. 某些表单的 ...
- centos7设置服务为开机自启动(以crond.serivce为例)
本文转自:https://blog.51cto.com/mrxiong2017/2084790 一.设置crond.serivice服务为开机自启动 步骤1:查看crond.serivce服务的自启动 ...
- 并行排序ShearSort ---[MPI , c++]
思想: (1) 对于一个nxm的数组,使用N个work进行处理. (2) 先按行对数组进行升序和降序排序[由左至右],一般奇数序列work升序,偶数序号的work进行降序 (3)再按列对数组进行升序排 ...
- mysql alter 添加索引
1.添加主键索引 ALTER TABLE `table_name` ADD PRIMARY KEY (`column`) 2.添加唯一索引 ALTER TABLE `table_name` ADD U ...
- Content of "Essential Software Test Design"
Content of "Essential Software Test Design" 2015-11-16 PART I 7 TEST DESIGN TECHNIQUES: AN ...
- css实现高度或者宽度不固定的div元素垂直左右居中
<!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8&quo ...
- xorm中的几个坑
项目中使用的是xorm,虽然用了很顺手了,可是还是会遇到一些坑,这里纪录一些. 结构体自动忽略空字段 在xorm中,结构体会自动忽略空字段(或则说默认值,比如int 的0 ,string的" ...
- android手机测试中如何查看内存泄露
(一) 生成.hprof文件生成.hprof 文件的方法有很多,而且Android 的不同版本中生成.hprof 的方式也稍有差别,我使用的版本的是2.1,各个版本中生成.prof 文件的方法请参考: ...
- 外网訪问XAMPP失败 解决方式 XAMPP1.8.3
xampp 訪问出现New XAMPP security concept New XAMPP security concept: Access to the requested directory i ...