在Ubuntu16.04 中安装 MongoDB 。参考步骤MongoDB官方网站javascript
安装时会报错java
E: The method driver /usr/lib/apt/methods/https could not be found. N: Is the package apt-transport-https installed?
提示须要安装apt-transport-httpsmongodb
sudo apt-get install -y apt-transport-httpsshell
sudo service mongod start
检查是否启动成功数据库
sudo cat /var/log/mongodb/mongod.log 后端
2019-04-19T15:40:52.808+0800 I NETWORK [initandlisten] waiting for connections on port 27017缓存
分片(sharding)是将数据拆分,将其分散存到不一样机器上的过程。MongoDB 支持自动分片,可使数据库架构对应用程序不可见。对于应用程序来讲,好像始终在使用一个单机的 MongoDB 服务器同样,另外一方面,MongoDB 自动处理数据在分片上的分布,也更容易添加和删除分片。相似于MySQL中的分库。服务器
其利用到了四个组件:mongos,config server,shard,replica set网络
mongos:数据库集群请求的入口,全部请求须要通过mongos进行协调,无需在应用层面利用程序来进行路由选择,mongos其自身是一个请求分发中心,负责将外部的请求分发到对应的shard服务器上,mongos做为统一的请求入口,为防止mongos单节点故障,通常须要对其作HA。能够理解为在微服务架构中的路由Eureka。架构
config server:配置服务器,存储全部数据库元数据(分片,路由)的配置。mongos自己没有物理存储分片服务器和数据路由信息,只是存缓存在内存中来读取数据,mongos在第一次启动或后期重启时候,就会从config server中加载配置信息,若是配置服务器信息发生更新会通知全部的mongos来更新本身的状态,从而保证准确的请求路由,生产环境中一般也须要多个config server,防止配置文件存在单节点丢失问题。理解为 配置中心
shard:在传统意义上来说,若是存在海量数据,单台服务器存储1T压力很是大,不管考虑数据库的硬盘,网络IO,又有CPU,内存的瓶颈,若是多台进行分摊1T的数据,到每台上就是可估量的较小数据,在mongodb集群只要设置好分片规则,经过mongos操做数据库,就能够自动把对应的操做请求转发到对应的后端分片服务器上。真正的存储
replica set:在整体mongodb集群架构中,对应的分片节点,若是单台机器下线,对应整个集群的数据就会出现部分缺失,这是不能发生的,所以对于shard节点须要replica set来保证数据的可靠性,生产环境一般为2个副本+1个仲裁。 副本保持数据的HA
为了节省服务器,采用多实例配置,三个mongos,三个config server,单个服务器上面运行不通角色的shard(为了后期数据分片均匀,将三台shard在各个服务器上充当不一样的角色。),在一个节点内采用replica set保证高可用,对应主机与端口信息以下:
主机名 | IP地址 | 组件mongos | 组件config server | shard |
---|---|---|---|---|
主节点: 22001 | ||||
mongodb-1 | 192.168.90.130 | 端口:20000 | 端口:21000 | 副本节点:22002 |
仲裁节点:22003 | ||||
主节点: 22002 | ||||
mongodb-2 | 192.168.90.131 | 端口:20000 | 端口:21000 | 副本节点:22001 |
仲裁节点:22003 | ||||
主节点: 22003 | ||||
mongodb-3 | 192.168.90.132 | 端口:20000 | 端口:21000 | 副本节点:22001 |
仲裁节点:22002 |
mkdir -p /usr/local/mongo/mongoconf/{data,log,config} touch mongoconfg.conf touch mongoconf.log
# mongod.conf # for documentation of all options, see: # http://docs.mongodb.org/manual/reference/configuration-options/ # Where and how to store data. storage: dbPath: /usr/local/mongo/mongoconf/data journal: enabled: true commitIntervalMs: 200 # engine: # mmapv1: # wiredTiger: # where to write logging data. systemLog: destination: file logAppend: true path: /usr/local/mongo/mongoconf/log/mongoconf.log # network interfaces net: port: 21000 bindIp: 0.0.0.0 maxIncomingConnections: 1000 # how the process runs processManagement: fork: true #security: #operationProfiling: #replication: replication: replSetName: replconf #sharding: sharding: clusterRole: configsvr ## Enterprise-Only Options: #auditLog: #snmp:
配置集群须要指定 data ,log ,以及对应的sharding角色
在三台机器上都配置好对应的文件后能够启动config集群
mogod -f /usr/local/mongo/mongoconf/conf/mongoconf.conf
进入任意一台机器(130为例),作集群副本初始化操做
mongo 192.168.90.130
config = { _id:"replconf" members:[ {_id:0,host:"192.168.90.130:21000"} {_id:0,host:"192.168.90.131:21000"} {_id:0,host:"192.168.90.132:21000"} ] } rs.initiate(config) //查看集群状态 rs.status()
返回结果以下
{ "set" : "replconf", "date" : ISODate("2019-04-21T06:38:50.164Z"), "myState" : 2, "term" : NumberLong(3), "syncingTo" : "192.168.90.131:21000", "syncSourceHost" : "192.168.90.131:21000", ... "members" : [ { "_id" : 0, "name" : "192.168.90.130:21000", "health" : 1, "state" : 2, "stateStr" : "SECONDARY", "uptime" : 305, "optime" : { "ts" : Timestamp(1555828718, 1), "t" : NumberLong(3) }, "optimeDurable" : { "ts" : Timestamp(1555828718, 1), "t" : NumberLong(3) }, "optimeDate" : ISODate("2019-04-21T06:38:38Z"), "optimeDurableDate" : ISODate("2019-04-21T06:38:38Z"), "lastHeartbeat" : ISODate("2019-04-21T06:38:49.409Z"), "lastHeartbeatRecv" : ISODate("2019-04-21T06:38:49.408Z"), "pingMs" : NumberLong(0), "lastHeartbeatMessage" : "", "syncingTo" : "192.168.90.131:21000", "syncSourceHost" : "192.168.90.131:21000", "syncSourceId" : 1, "infoMessage" : "", "configVersion" : 1 }, { "_id" : 1, "name" : "192.168.90.131:21000", "health" : 1, "state" : 1, "stateStr" : "PRIMARY", "uptime" : 307, "optime" : { "ts" : Timestamp(1555828718, 1), "t" : NumberLong(3) }, "optimeDurable" : { "ts" : Timestamp(1555828718, 1), "t" : NumberLong(3) }, "optimeDate" : ISODate("2019-04-21T06:38:38Z"), "optimeDurableDate" : ISODate("2019-04-21T06:38:38Z"), "lastHeartbeat" : ISODate("2019-04-21T06:38:49.380Z"), "lastHeartbeatRecv" : ISODate("2019-04-21T06:38:49.635Z"), "pingMs" : NumberLong(0), "lastHeartbeatMessage" : "", "syncingTo" : "", "syncSourceHost" : "", "syncSourceId" : -1, "infoMessage" : "", "electionTime" : Timestamp(1555828429, 1), "electionDate" : ISODate("2019-04-21T06:33:49Z"), "configVersion" : 1 }, { "_id" : 2, "name" : "192.168.90.132:21000", "health" : 1, "state" : 2, "stateStr" : "SECONDARY", "uptime" : 319, "optime" : { "ts" : Timestamp(1555828718, 1), "t" : NumberLong(3) }, "optimeDate" : ISODate("2019-04-21T06:38:38Z"), "syncingTo" : "192.168.90.131:21000", "syncSourceHost" : "192.168.90.131:21000", "syncSourceId" : 1, "infoMessage" : "", "configVersion" : 1, "self" : true, "lastHeartbeatMessage" : "" } ], "ok" : 1, ... }
能够看出config集群部署成功,且经过选举机制选定131为primary节点。
mkdir -p shard1/{data,conf,log} mkdir -p shard2/{data,conf,log} mkdir -p shard3/{data,conf,log} touch shard1/log/shard1.log touch shard2/log/shard2.log touch shard3/log/shard3.log
# mongod.conf # for documentation of all options, see: # http://docs.mongodb.org/manual/reference/configuration-options/ # Where and how to store data. storage: dbPath: /usr/local/mongo/shard1/data journal: enabled: true commitIntervalMs: 200 mmapv1: smallFiles: true # wiredTiger: # where to write logging data. systemLog: destination: file logAppend: true path: /usr/local/mongo/shard1/log/shard1.log # network interfaces net: port: 22001 bindIp: 0.0.0.0 maxIncomingConnections: 1000 # how the process runs processManagement: fork: true #security: #operationProfiling: #replication: replication: replSetName: shard1 oplogSizeMB: 4096 #sharding: sharding: clusterRole: shardsvr ## Enterprise-Only Options: #auditLog: #snmp:
分别创建shard1,shard2,shard3 的配置文件
mongod -f /usr/local/mongo/shard1/conf/shard1.conf mongod -f /usr/local/mongo/shard2/conf/shard2.conf mongod -f /usr/local/mongo/shard3/conf/shard3.conf
使用
netstat -lntup
来查看进程
Active Internet connections (only servers) Proto Recv-Q Send-Q Local Address Foreign Address State PID/Program name tcp 0 0 0.0.0.0:22001 0.0.0.0:* LISTEN 1891/mongod tcp 0 0 0.0.0.0:22002 0.0.0.0:* LISTEN 1974/mongod tcp 0 0 0.0.0.0:22003 0.0.0.0:* LISTEN 2026/mongod tcp 0 0 0.0.0.0:22 0.0.0.0:* LISTEN - tcp 0 0 127.0.0.1:6010 0.0.0.0:* LISTEN - tcp 0 0 0.0.0.0:21000 0.0.0.0:* LISTEN 1779/mongod
发现进程所有启动
在130 上登陆
mongo 192.168.90.130:22001
指定集群以及对应的arbiter节点
config = { _id:"shard1", members:[ {_id:0,host:"192.168.90.130:22001"}, {_id:1,host:"192.168.90.131:22001"}, {_id:2,host:"192.168.90.132:22001",arbiterOnly:true} ] } rs.initate(config) rs.status()
在131,132 节点登陆,哪个节点初始化 即哪个节点第一次优先做为primary节点
config = { _id:"shard2", members:[ {_id:0,host:"192.168.90.130:22002",arbiterOnly:true}, {_id:1,host:"192.168.90.131:22002"}, {_id:2,host:"192.168.90.132:22002"} ] } rs.initate(config) rs.status() config = { _id:"shard3", members:[ {_id:0,host:"192.168.90.130:22001"}, {_id:1,host:"192.168.90.131:22001",arbiterOnly:true}, {_id:2,host:"192.168.90.132:22001"} ] } rs.initate(config) rs.status()
mkdir -p ./mongos/{config,log}
由于mongos不须要存储数据或者元数据信息,只负责处理请求分发,当启动时到config集群中取得元数据信息加载到内存使用。
# mongod.conf # for documentation of all options, see: # http://docs.mongodb.org/manual/reference/configuration-options/ # Where and how to store data. # engine: # mmapv1: # wiredTiger: # where to write logging data. systemLog: destination: file logAppend: true path: /usr/local/mongo/mongos/log/mongos.log # network interfaces net: port: 20000 bindIp: 0.0.0.0 maxIncomingConnections: 1000 # how the process runs processManagement: fork: true sharding: configDB: replconf/mongo0:21000,mongo1:21000,mongo2:21000 ## Enterprise-Only Options: #auditLog:
mongos -f /usr/local/mongo/mongos/conf/mongos.conf
查看集群启动状况
Active Internet connections (only servers) Proto Recv-Q Send-Q Local Address Foreign Address State PID/Program name tcp 0 0 0.0.0.0:22001 0.0.0.0:* LISTEN 1891/mongod tcp 0 0 0.0.0.0:22002 0.0.0.0:* LISTEN 1974/mongod tcp 0 0 0.0.0.0:22003 0.0.0.0:* LISTEN 2026/mongod tcp 0 0 0.0.0.0:22 0.0.0.0:* LISTEN - tcp 0 0 127.0.0.1:6010 0.0.0.0:* LISTEN - tcp 0 0 0.0.0.0:20000 0.0.0.0:* LISTEN 2174/mongos tcp 0 0 0.0.0.0:21000 0.0.0.0:* LISTEN 1779/mongod
登陆任意一台mongos,在admin表中加入信息
use admin db.runCommand( { addShard:"shard1/192.168.90.130:22001,192.168.90.131:22001,192.168.90.132:22001" } ) db.runCommand( { addShard:"shard2/192.168.90.130:22002,192.168.90.131:22002,192.168.90.132:22002" } ) db.runCommand( { addShard:"shard3/192.168.90.130:22003,192.168.90.131:22003,192.168.90.132:22003" } ) sh.status()
返回信息:
--- Sharding Status --- sharding version: { "_id" : 1, "minCompatibleVersion" : 5, "currentVersion" : 6, "clusterId" : ObjectId("5cba82d33290d8f4fb3ac8f7") } shards: { "_id" : "shard1", "host" : "shard1/192.168.90.130:22001,192.168.90.132:22001", "state" : 1 } { "_id" : "shard2", "host" : "shard2/192.168.90.130:22002,192.168.90.131:22002", "state" : 1 } { "_id" : "shard3", "host" : "shard3/192.168.90.131:22003,192.168.90.132:22003", "state" : 1 } active mongoses: ....
use admin db.runCommand({ shardCollection:"lishubindb.table1",key:{_id:"hashed"} }) db.runCommand({ listshards:1 })
加入10W条数据到table1集合中
use lishubindb for(var i=0;i<100000;i++){ db.table1.insert({ "name":"lishubin"+i,"num":i }) }
观察分片状况
db.table1.status() "ns" : "lishubindb.table1", "count" : 100000, "size" : 5888890, "storageSize" : 2072576, "totalIndexSize" : 4694016, "indexSizes" : { "_id_" : 1060864, "_id_hashed" : 3633152 }, "avgObjSize" : 58, "maxSize" : NumberLong(0), "nindexes" : 2, "nchunks" : 6, "shards" : { "shard3" : { "ns" : "lishubindb.table1", "size" : 1969256, "count" : 33440, "avgObjSize" : 58, "storageSize" : 712704, "capped" : false, ... }, "shard2" : { "ns" : "lishubindb.table1", "size" : 1973048, "count" : 33505, "avgObjSize" : 58, "storageSize" : 708608, "capped" : false, ... }, "shard1" : { "ns" : "lishubindb.table1", "size" : 1946586, "count" : 33055, "avgObjSize" : 58, "storageSize" : 651264, "capped" : false, ... },