• 搭建mongodb分布式集群(3台主机分片集群)


    搭建mongodb分布式集群(分片集群+keyfile安全认证以及用户权限)

    2020-01-02 12:56:37

    介绍:

        分片(sharding)是指将数据库拆分,将其分散在不同的机器上的过程。将数据分散到不同的机器上,不需要功能强大的服务器就可以存储更多的数据和处理更大的负载。基本思想就是将集合切成小块,这些块分散到若干片里,每个片只负责总数据的一部分,最后通过一个均衡器来对各个分片进行均衡(数据迁移)。通过一个名为mongos的路由进程进行操作,mongos知道数据和片的对应关系(通过配置服务器)。大部分使用场景都是解决磁盘空间的问题,对于写入有可能会变差(+++里面的说明+++),查询则尽量避免跨分片查询。使用分片的时机:

           Shard   Server: mongod 实例,用于存储实际的数据块,实际生产环境中一个shard server角色可由几台机器组个一个relica set承担,防止主机单点故障;
           Config  Server: mongod 实例,存储了整个 Cluster Metadata,其中包括 chunk 信息。
           Route  Server: mongos  实例,前端路由,客户端由此接入,且让整个集群看上去像单一数据库,前端应用可以透明使用

    主机规划: 

    IP地址 实例(端口) 实例(端口) 实例(端口) 实例(端口) 实例(端口)
    192.168.2.3 mongos(27107) configsvr(20000) shard1(27018) shard2(27019) shard3(27020)
    192.168.2.4 mongos(27107) configsvr(20000) shard1(27018) shard2(27019) shard3(27020)
    192.168.2.5 mongos(27107) configsvr(20000) shard1(27018) shard2(27019) shard3(27020)

     

     

    目录创建:

    在每台服务器创建对应的目录

    1 mkdir -p /data/mongodb/{share1,share2,share3}/db
    2 mkdir -p /data/mongodb/mongos/db
    3 mkdir -p /data/mongodb/configsvr/db
    4 mkdir -p /data/mongodb/{conf,logs}

    创建配置文件:

    1 touch /data/mongodb/conf/configsvr.conf 
    2 touch /data/mongodb/conf/mongos.conf 
    3 touch /data/mongodb/conf/shard1.conf 
    4 touch /data/mongodb/conf/shard2.conf 
    5 touch /data/mongodb/conf/shard3.conf

    配置文件详情:

        官网连接 :https://docs.mongodb.com/manual/reference/configuration-options/

    configsvr.conf

     1 systemLog:
     2     destination: file
     3     logAppend: true
     4     path: /data/mongodb/logs/configsvr.log
     5 storage:
     6     dbPath: /data/mongodb/configsvr/db
     7     journal:
     8         enabled: true
     9 processManagement:
    10     fork: true 
    11     pidFilePath: /data/mongodb/configsvr/configsvr.pid
    12 net:
    13     port: 20000
    14     bindIp: 0.0.0.0 
    15 replication:
    16     replSetName: config
    17 sharding:
    18     clusterRole: configsvr

    shard1.conf

     1 systemLog:
     2     destination: file
     3     logAppend: true
     4     path: /data/mongodb/logs/shard1.log
     5 storage:
     6     dbPath: /data/mongodb/shard1/db
     7     journal:
     8         enabled: true
     9 processManagement:
    10     fork: true 
    11     pidFilePath: /data/mongodb/shard1/shard1.pid
    12 net:
    13     port: 27018
    14     bindIp: 0.0.0.0 
    15 replication:
    16     replSetName: shard1
    17 sharding:
    18     clusterRole: shardsvr

    shard2.conf

     1 systemLog:
     2     destination: file
     3     logAppend: true
     4     path: /data/mongodb/logs/shard2.log
     5 storage:
     6     dbPath: /data/mongodb/shard2/db
     7     journal:
     8         enabled: true
     9 processManagement:
    10     fork: true 
    11     pidFilePath: /data/mongodb/shard2/shard2.pid
    12 net:
    13     port: 27019
    14     bindIp: 0.0.0.0 
    15 replication:
    16     replSetName: shard2
    17 sharding:
    18     clusterRole: shardsvr

    shard3.conf

     1 systemLog:
     2     destination: file
     3     logAppend: true
     4     path: /data/mongodb/logs/shard3.log
     5 storage:
     6     dbPath: /data/mongodb/shard3/db
     7     journal:
     8         enabled: true
     9 processManagement:
    10     fork: true 
    11     pidFilePath: /data/mongodb/shard3/shard3.pid
    12 net:
    13     port: 27020
    14     bindIp: 0.0.0.0 
    15 replication:
    16     replSetName: shard3
    17 sharding:
    18     clusterRole: shardsvr

    mongos.conf

     1 systemLog:
     2     destination: file
     3     logAppend: true
     4     path: /data/mongodb/logs/mongos.log
     5 processManagement:
     6     fork: true 
     7     pidFilePath: /data/mongodb/mongos/mongos.pid
     8 net:
     9     port: 27017
    10     bindIp: 0.0.0.0 
    11 sharding:
    12     configDB: config/192.168.2.3:20000,192.168.2.4:20000,192.168.2.5:20000

    启动命令:

    1 /data/mongodb/bin/mongod -f /data/mongodb/config/configser.conf
    2 /data/mongodb/bin/mongod -f /data/mongodb/config/shard1.conf
    3 /data/mongodb/bin/mongod -f /data/mongodb/config/shard2.conf
    4 /data/mongodb/bin/mongod -f /data/mongodb/config/shard3.conf
    5 /data/mongodb/bin/mongod -f /data/mongodb/config/mongos.conf

     停止命令:

    killall mongod  #停止config 和shard 
    killall mongos  #停止 mongos

    连接 shard1 

    /data/mongodb/bin/mongo 192.168.2.3:27018
    执行

     1 rs.initiate({
     2 "_id":"shard1",
     3 "members":[
     4 {
     5 "_id":0,
     6 "host":"192.168.2.3:27018"
     7 },
     8 {
     9 "_id":1,
    10 "host":"192.168.2.4:27018"
    11 },
    12 {
    13 "_id":2,
    14 "host":"192.168.2.5:27018"
    15 }
    16 ]
    17 })

    连接 shard2

    /data/mongodb/bin/mongo 192.168.2.3:27019
    执行

     1 rs.initiate({
     2 "_id":"shard2",
     3 "members":[
     4 {
     5 "_id":0,
     6 "host":"192.168.2.3:27019"
     7 },
     8 {
     9 "_id":1,
    10 "host":"192.168.2.4:27019"
    11 },
    12 {
    13 "_id":2,
    14 "host":"192.168.2.5:27019"
    15 }
    16 ]
    17 })

    连接 shard3
    /data/mongodb/bin/mongo 192.168.2.3:27020
    执行

     1 rs.initiate({
     2 "_id":"shard3",
     3 "members":[
     4 {
     5 "_id":0,
     6 "host":"192.168.2.3:27020"
     7 },
     8 {
     9 "_id":1,
    10 "host":"192.168.2.4:27020"
    11 },
    12 {
    13 "_id":2,
    14 "host":"192.168.2.5:27020"
    15 }
    16 ]
    17 })

    连接 config
    /data/mongodb/bin/mongo 192.168.2.3:20000

     1 rs.initiate({
     2 "_id":"config",
     3 "members":[
     4 {
     5 "_id":0,
     6 "host":"192.168.2.3:20000"
     7 },
     8 {
     9 "_id":1,
    10 "host":"192.168.2.4:20000"
    11 },
    12 {
    13 "_id":2,
    14 "host":"192.168.2.5:20000"
    15 }
    16 ]
    17 })

    连接 mongos 添加路由 

    /data/mongodb/bin/mongo 192.168.2.3:27017

    1 sh.addShard("shard1/192.168.2.3:27018,192.168.2.4:27018,192.168.2.5:27018")
    2 sh.addShard("shard2/192.168.2.3:27019,192.168.2.4:27019,192.168.2.5:27019")
    3 sh.addShard("shard3/192.168.2.3:27020,192.168.2.4:27020,192.168.2.5:27020")

    查看状态

    mongos> sh.status()
    --- Sharding Status --- 
      sharding version: {
          "_id" : 1,
          "minCompatibleVersion" : 5,
          "currentVersion" : 6,
          "clusterId" : ObjectId("5e0995613452582938deff4f")
      }
      shards:
            {  "_id" : "shard1",  "host" : "shard1/192.168.2.3:27018,192.168.2.4:27018,192.168.2.5:27018",  "state" : 1 }
            {  "_id" : "shard2",  "host" : "shard2/192.168.2.3:27019,192.168.2.4:27019,192.168.2.5:27019",  "state" : 1 }
            {  "_id" : "shard3",  "host" : "shard3/192.168.2.3:27020,192.168.2.4:27020,192.168.2.5:27020",  "state" : 1 }
      active mongoses:
            "3.6.3" : 1
      autosplit:
            Currently enabled: yes
      balancer:
            Currently enabled:  yes
            Currently running:  no
            Failed balancer rounds in last 5 attempts:  5
            Last reported error:  Could not find host matching read preference { mode: "primary" } for set shard1
            Time of Reported error:  Mon Dec 30 2019 14:30:41 GMT+0800 (CST)
            Migration Results for the last 24 hours: 
                    No recent migrations
      databases:
            {  "_id" : "config",  "primary" : "config",  "partitioned" : true }
                    config.system.sessions
                            shard key: { "_id" : 1 }
                            unique: false
                            balancing: true
                            chunks:
                                    shard1    1
                            { "_id" : { "$minKey" : 1 } } -->> { "_id" : { "$maxKey" : 1 } } on : shard1 Timestamp(1, 0) 
            {  "_id" : "dfcx_test",  "primary" : "shard2",  "partitioned" : false }
            {  "_id" : "test",  "primary" : "shard1",  "partitioned" : false }

    初始化用户

    接入其中一个mongos实例,添加管理员用户

    1 use admin
    2  db.createUser({user:'admin',pwd:'admin',roles:['clusterAdmin','dbAdminAnyDatabase','userAdminAnyDatabase','readWriteAnyDatabase']})
    # 查看用户 在 admin库
    3 db.system.users.find().pretty()
    #授权库账号 4 use df_test 5 db.createUser({user:'df_test',pwd:'admin',roles:['readWrite']})
    #修改权限
    6 db.updateUser("usertest",{roles:[ {role:"read",db:"testDB"} ]})
      注:updateuser它是完全替换之前的值,如果要新增或添加roles而不是代替它 
    #修改密码
    7 db.updateUser("usertest",{pwd:"changepass1"});
    role角色:
        数据库用户角色:read、readWrite;
        数据库管理角色:dbAdmin、dbOwner、userAdmin;
        集群管理角色:clusterAdmin、clusterManager、clusterMonitor、hostManager;
        备份恢复角色:backup、restore;
        所有数据库角色:readAnyDatabase、readWriteAnyDatabase、userAdminAnyDatabase、dbAdminAnyDatabase
        超级用户角色:root
        内部角色:__system
    角色说明:
        read:允许用户读取指定数据库
        readWrite:允许用户读写指定数据库
        dbAdmin:允许用户在指定数据库中执行管理函数,如索引创建、删除,查看统计或访问system.profile
        userAdmin:允许用户向system.users集合写入,可以找指定数据库里创建、删除和管理用户
        clusterAdmin:只在admin数据库中可用,赋予用户所有分片和复制集相关函数的管理权限。
        readAnyDatabase:只在admin数据库中可用,赋予用户所有数据库的读权限
        readWriteAnyDatabase:只在admin数据库中可用,赋予用户所有数据库的读写权限
        userAdminAnyDatabase:只在admin数据库中可用,赋予用户所有数据库的userAdmin权限
        dbAdminAnyDatabase:只在admin数据库中可用,赋予用户所有数据库的dbAdmin权限。
        root:只在admin数据库中可用。超级账号,超级权限
        dbOwner: readWrite + dbAdmin + dbAdmin

    数据操作

    在案例中,创建appuser用户、为数据库实例df_test启动分片。

    1 use df_test
    2 db.createUser({user:'appuser',pwd:'AppUser@01',roles:[{role:'dbOwner',db:'df_test'}]}) 
    3 sh.enableSharding("df_test") #开启分片

    创建集合userid,为其执行分片初始化。

    1 use df_test
    2 db.createCollection("users")
    3 db.users.ensureIndex({userid:1}) 创建索引,
    4 sh.shardCollection("dfcx_test.users",{userid:1}) 同时为集合指定片键
    5 sh.shardCollection("dfcx_test.users.users", {users:"hashed"}, false, { numInitialChunks: 4} ) (添加参数,可以执行4 和5任意一个)

    插入测试数据

    1 mongos> for(var i=1;i<1000000;i++) db.users.insert({userid:i,username:"HSJ"+i,city:"beijing"})
    2 mongos> for(var i=1;i<1000000;i++) db.users.insert({userid:i,username:"HSJ"+i,city:"tianjing"})

    查看状态

    sh.status()
    --- Sharding Status --- 
      sharding version: {
          "_id" : 1,
          "minCompatibleVersion" : 5,
          "currentVersion" : 6,
          "clusterId" : ObjectId("5e0995613452582938deff4f")
      }
      shards:
            {  "_id" : "shard1",  "host" : "shard1/192.168.2.3:27018,192.168.2.4:27018,192.168.2.5:27018",  "state" : 1 }
            {  "_id" : "shard2",  "host" : "shard2/192.168.2.3:27019,192.168.2.4:27019,192.168.2.5:27019",  "state" : 1 }
            {  "_id" : "shard3",  "host" : "shard3/192.168.2.3:27020,192.168.2.4:27020,192.168.2.5:27020",  "state" : 1 }
      active mongoses:
            "3.6.3" : 1
      autosplit:
            Currently enabled: yes
      balancer:
            Currently enabled:  yes
            Currently running:  yes
            Collections with active migrations: 
                    dfcx_test.users started at Thu Jan 02 2020 14:35:34 GMT+0800 (CST)
            Failed balancer rounds in last 5 attempts:  4
            Last reported error:  Could not find host matching read preference { mode: "primary" } for set shard1
            Time of Reported error:  Mon Dec 30 2019 14:32:41 GMT+0800 (CST)
            Migration Results for the last 24 hours: 
                    1 : Success
      databases:
            {  "_id" : "config",  "primary" : "config",  "partitioned" : true }
                    config.system.sessions
                            shard key: { "_id" : 1 }
                            unique: false
                            balancing: true
                            chunks:
                                    shard1    1
                            { "_id" : { "$minKey" : 1 } } -->> { "_id" : { "$maxKey" : 1 } } on : shard1 Timestamp(1, 0) 
            {  "_id" : "dfcx_test",  "primary" : "shard2",  "partitioned" : true }
                    dfcx_test.users
                            shard key: { "userid" : 1 }
                            unique: false
                            balancing: true
                            chunks:
                                    shard1    1
                                    shard2    3
                            { "userid" : { "$minKey" : 1 } } -->> { "userid" : 2 } on : shard1 Timestamp(2, 0) 
                            { "userid" : 2 } -->> { "userid" : 500002 } on : shard2 Timestamp(2, 1) 
                            { "userid" : 500002 } -->> { "userid" : 750003 } on : shard2 Timestamp(1, 3) 
                            { "userid" : 750003 } -->> { "userid" : { "$maxKey" : 1 } } on : shard2 Timestamp(1, 4) 
            {  "_id" : "test",  "primary" : "shard1",  "partitioned" : false }

    mongodb 生产开启 keyfile安全认证以及用户权限

    创建副本集认证key文件

    1、创建key文件: 注意,三个节点必须要用同一份keyfile,在一台机器生成,拷贝到另外两台,并且修改成 600 的文件属性

    1 openssl rand -base64 90 -out ./keyfile
    2 cp keyfile /data/mongodb/conf、
    3 chmod 600 /data/mongodb/keyfile

    2.在每个配置文件里添加配置

    config 和shard 添加:

    security:
      keyFile: /data/mongodb/conf/keyfile
      authorization: enabled

    mongos 添加

    1 security:
    2   keyFile: /data/mongodb/conf/keyfile

    3.重启集群

     隐藏节点-延迟节点

    由于我没有部署测试过在完成看到这个比较好收藏查看 

    查看文档:https://www.cnblogs.com/kevingrace/p/8178549.html

    文章参考连接:

         https://www.jianshu.com/p/f021f1f3c60b

         https://www.cnblogs.com/littleatp/p/8563273.html

         https://www.cnblogs.com/woxingwoxue/p/9875878.html

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  • 原文地址:https://www.cnblogs.com/hushaojie/p/12132365.html
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