NoSQL MongoDB
什么是MongoDB
MongoDB也是NoSQL的一种，它是一个基于分布式文件存储的文档型数据库，由C++语言编写。因为是文档型数据库，所以它是非关系数据库中功能最丰富、最像关系数据库的。
官方网站 （https://www.mongodb.com），最新版本4.2.9。
MongoDB将数据存储为一个文档，数据结构将键值（key-value）对组成，MongoDB文档类似于JSON对象，字段值可以包含其它文档、数组及文档数组。
了解JSON
基本概念：
文档(document)：MongoDB中数据的基本单元，非常类似于关系型数据库系统中的行，但是比行要复杂的多。
集合(collection)：一组文档，如果说MongoDB中的文档类似于关系型数据库中的行，那么集合就如同表。
MongoDB的单个计算机可以容纳多个独立的数据库，每一个数据库都有自己的集合和权限；
MongoDB自带简洁但功能强大的JavaScript shell，这个工具对于管理MongoDB实例和操作数据作用非常大；
每一个文档都有一个特殊的键”_id”,它在文档所处的集合中是唯一的，相当于关系数据库中的表的主键。
MongoDB的特点是高性能、易部署、易使用，存储数据非常方便，它的主要特性有：
面向集合存储，易存储对象类型的数据
模式自由
支持动态查询
支持完全索引，包含内部对象
支持复制和故障恢复
使用高效的二进制数据存储，包括大型对象
文件存储格式为BSON(一种JSON的扩展)
MongoDB安装
# cd /etc/yum.repos.d/
# vim mongo.repo
[mongodb-org-3.4]
name=MongoDB Repository
baseurl=https://repo.mongodb.org/yum/redhat/$releasever/mongodb-org/3.4/x86_64/
gpgcheck=1
enabled=1
gpgkey=https://www.mongodb.org/static/pgp/server-3.4.asc
# yum install -y mongodb-org
连接MongoDB
启动服务：
# systemctl start mongod
# ps aux |grep mongod
mongod 1522 0.8 0.9 972380 37512 ? Sl 10:30 0:00 /usr/bin/mongod -f /etc/mongo.conf
# netstat -lntp |grep mongod
tcp 0 0 127.0.0.1:27017 0.0.0.0:* LISTEN 1522/mongod
进入mongodb shell：
# mongo
MongoDB shell version v3.4.16
connecting to: mongodb://127.0.0.1:27017 #显示IP及监听端口
MongoDB server version: 3.4.16
Welcome to the MongoDB shell.
For interactive help, type "help".
For more comprehensive documentation, see
http://docs.mongodb.org/
Questions? Try the support group
http://groups.google.com/group/mongodb-user
Server has startup warnings:
2018-08-25T10:30:18.431+0800 I CONTROL [initandlisten]
2018-08-25T10:30:18.431+0800 I CONTROL [initandlisten] ** WARNING: Access control is not enabled for the database.
2018-08-25T10:30:18.431+0800 I CONTROL [initandlisten] ** Read and write access to data and configuration is unrestricted.
2018-08-25T10:30:18.431+0800 I CONTROL [initandlisten]
2018-08-25T10:30:18.431+0800 I CONTROL [initandlisten]
2018-08-25T10:30:18.431+0800 I CONTROL [initandlisten] ** WARNING: /sys/kernel/mm/transparent_hugepage/enabled is 'always'.
2018-08-25T10:30:18.431+0800 I CONTROL [initandlisten] ** We suggest setting it to 'never'
2018-08-25T10:30:18.431+0800 I CONTROL [initandlisten]
2018-08-25T10:30:18.431+0800 I CONTROL [initandlisten] ** WARNING: /sys/kernel/mm/transparent_hugepage/defrag is 'always'.
2018-08-25T10:30:18.431+0800 I CONTROL [initandlisten] ** We suggest setting it to 'never' #关于内核的警告，可忽略
2018-08-25T10:30:18.431+0800 I CONTROL [initandlisten]
>
如果监听端口不是默认的27017，则在连接的时候需要加--port选项，如：
mongo --port 27018
远程连接mongodb，需要加--host，如：
mongo --host 127.0.0.1
如果设置了验证，则在连接的时候需要带上用户名和密码，如：
mongo -u用户名 -p密码 --authenticationDatabase 数据库名 #和mysql类似
MongoDB用户管理
管理用户：
> use admin #use切换库，只有在admin库中才可以操作用户管理
switched to db admin
#创建用户并授权；customData表示对用户的描述，可省略；roles表示角色，指定库的权限
> db.createUser( { user: "admin", customData: {description: "superuser"}, pwd: "admin123", roles: [ { role: "root", db:"admin" } ] } )
Successfully added user: {
"user" : "admin",
"customData" : {
"description" : "superuser"
},
"roles" : [
{
"role" : "root",
"db" : "admin"
}
]
}
> db.system.users.find() #列出所有用户，需要切换到admin库
{ "_id" : "admin.admin", "user" : "admin", "db" : "admin", "credentials" : { "SCRAM-SHA-1" : { "iterationCount" : 10000, "salt" : "J8r1+mWlE53xnEKSiQ98hA==", "storedKey" : "7dl9ZmLoj8AHTb7LguX/w4C9X9U=", "serverKey" : "ZMpgYfQMxGAULJh9a5rFijPny2E=" } }, "customData" : { "description" : "superuser" }, "roles" : [ { "role" : "root", "db" : "admin" } ] }
#admin.admin表示admin库的admin用户
> show users #列出当前库下所有的用户
{
"_id" : "admin.admin",
"user" : "admin",
"db" : "admin",
"customData" : {
"description" : "superuser"
},
"roles" : [
{
"role" : "root",
"db" : "admin"
}
]
}
> db.createUser({user:"lzx",pwd:"123123",roles:[{role:"read",db:"testdb"}]}) #创建lzx用户，设为read角色，针对的库是testdb
Successfully added user: {
"user" : "lzx",
"roles" : [
{
"role" : "read",
"db" : "testdb"
}
]
}
> show users #查看新创建的用户
{
"_id" : "admin.admin",
"user" : "admin",
"db" : "admin",
"customData" : {
"description" : "superuser"
},
"roles" : [
{
"role" : "root",
"db" : "admin"
}
]
}
{
"_id" : "admin.lzx",
"user" : "lzx",
"db" : "admin",
"roles" : [
{
"role" : "read",
"db" : "testdb"
}
]
}
> db.dropUser('lzx') #删除刚创建的lzx用户
true
> show users
{
"_id" : "admin.admin",
"user" : "admin",
"db" : "admin",
"customData" : {
"description" : "superuser"
},
"roles" : [
{
"role" : "root",
"db" : "admin"
}
]
} #新创建的用户已经消失
新增用户之后，若要用户生效，还需要编辑启动脚本：
# vim /usr/lib/systemd/system/mongod.service
Environment="OPTIONS=--auth -f /etc/mongod.conf"
# systemctl daemon-reload
# systemctl restart mongod
# ps aux |grep mongod
mongod 8049 17.8 1.0 972380 41420 ? Sl 14:03 0:02 /usr/bin/mongod --auth -f /etc/mongod.conf
# mongo --host 127.0.0.1 --port 27017
MongoDB shell version v3.4.16
connecting to: mongodb://127.0.0.1:27017/
MongoDB server version: 3.4.16
> use admin
switched to db admin
> show users #刚刚登录的用户没有权限执行命令
2018-08-25T14:06:39.482+0800 E QUERY [thread1] Error: not authorized on admin to execute command { usersInfo: 1.0 } :
_getErrorWithCode@src/mongo/shell/utils.js:25:13
DB.prototype.getUsers@src/mongo/shell/db.js:1539:1
shellHelper.show@src/mongo/shell/utils.js:771:9
shellHelper@src/mongo/shell/utils.js:678:15
@(shellhelp2):1:1
# mongo --host 127.0.0.1 --port 27017 -u 'admin' -p 'admin123' --authenticationDatabase "admin" #指定用户密码和库，再次登录
MongoDB shell version v3.4.16
connecting to: mongodb://127.0.0.1:27017/
MongoDB server version: 3.4.16
Server has startup warnings:
2018-08-25T14:03:27.518+0800 I CONTROL [initandlisten]
2018-08-25T14:03:27.518+0800 I CONTROL [initandlisten] ** WARNING: /sys/kernel/mm/transparent_hugepage/enabled is 'always'.
2018-08-25T14:03:27.518+0800 I CONTROL [initandlisten] ** We suggest setting it to 'never'
2018-08-25T14:03:27.518+0800 I CONTROL [initandlisten]
2018-08-25T14:03:27.518+0800 I CONTROL [initandlisten] ** WARNING: /sys/kernel/mm/transparent_hugepage/defrag is 'always'.
2018-08-25T14:03:27.518+0800 I CONTROL [initandlisten] ** We suggest setting it to 'never'
2018-08-25T14:03:27.518+0800 I CONTROL [initandlisten]
> use admin
switched to db admin
> show users #再次执行命令就没问题了
{
"_id" : "admin.admin",
"user" : "admin",
"db" : "admin",
"customData" : {
"description" : "superuser"
},
"roles" : [
{
"role" : "root",
"db" : "admin"
}
]
}
> use db1
switched to db db1
> db.createUser({user:"test1",pwd:"123123",roles:[{role:"readWrite",db:"db1"},{role:"read",db:"db2"}]}) #创建用户test1，对db1库有读写权限，对db2库只读
Successfully added user: {
"user" : "test1",
"roles" : [
{
"role" : "readWrite",
"db" : "db1"
},
{
"role" : "read",
"db" : "db2"
}
]
}
先use db1，表示用户在db1库中创建，用户的信息会跟随数据库。
> db.auth('test1','123123') #在命令行认证用户
1 #返回1说明认证成功
> use db2
switched to db db2
> db.auth('test1','123123')
Error: Authentication failed.
0 #db2下认证失败
MongoDB中有这些角色：
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，可以在指定数据库里创建、删除和管理用户
clusterAdmin：只在admin数据中可用，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，赋予所有数据库的userAdmin权限
dbAdminAnyDatabase：只在admin数据库中可用，赋予所有数据库的dbAdmin权限
root：只在admin数据库中可用。超级账号，超级权限
MongoDB创建集合、数据管理
> use db1
switched to db db1
> db.createCollection("mycol",{capped:true,size:6142800,max:10000})
{ "ok" : 1 }
创建集合；集合名为mycol；option可选，用来配置集合的参数。
capped true/false （可选），如果为true，则启用封顶集合。封顶集合是固定大小的集合，当它达到最 大大小，会自动覆盖最早的条目。如果指定为true，也需要指定尺寸参数；
size（可选），指定最大大小字节封顶集合。如果capped是true，那么就必须指定这个字段，单位B；
max（可选），指定封顶集合允许在文件的最大数量。
> show tables #查看集合
mycol
> show collections #这样也可以查看集合
mycol
> db.Account.insert({AccountID:1,UserName:"123",password:"123456"}) #向集合中插入数据，若集合不存在，则自动创建
WriteResult({ "nInserted" : 1 })
> show collections
Account
mycol
> db.Account.insert({AccountID:2,UserName:"aaa",password:"aaaaaa"}) #再插入一个文档
WriteResult({ "nInserted" : 1 })
> show collections
Account #仍属于Account集合
mycol
> db.Account.update({AccountID:1},{"$set":{"Age":20}}) #更新集合中AccountID:1文档的数据
WriteResult({ "nMatched" : 1, "nUpserted" : 0, "nModified" : 1 })
> db.Account.find() #查看所有文档
{ "_id" : ObjectId("5b80feb826e56a836ac4d168"), "AccountID" : 1, "UserName" : "123", "password" : "123456", "Age" : 20 }
{ "_id" : ObjectId("5b8100cc26e56a836ac4d169"), "AccountID" : 2, "UserName" : "aaa", "password" : "aaaaaa" }
> db.Account.find({AccountID:1}) #指定条件查询
{ "_id" : ObjectId("5b80feb826e56a836ac4d168"), "AccountID" : 1, "UserName" : "123", "password" : "123456", "Age" : 20 }
> db.Account.remove({AccountID:1})
WriteResult({ "nRemoved" : 1 }) #指定条件删除文档
> db.Account.find()
{ "_id" : ObjectId("5b8100cc26e56a836ac4d169"), "AccountID" : 2, "UserName" : "aaa", "password" : "aaaaaa" }
> db.Account.drop() #删除集合Account中所有文档，即删除集合
true
> show collections
mycol
> db.mycol.drop()
true
> show collections
> db.col123.insert({AccountID:1,UserName:"123",password:"123456"})
WriteResult({ "nInserted" : 1 })
> db.printCollectionStats() #查看所有集合状态
col123
{
"ns" : "db1.col123",
"size" : 80,
"count" : 1,
"avgObjSize" : 80,
"storageSize" : 16384,
"capped" : false,
"wiredTiger" : {
"metadata" : {
"formatVersion" : 1
},
"creationString" : "access_pattern_hint=none,allocation_size=4KB,app_metadata=(formatVersion=1),block_allocation=best,block_compressor=snappy,cache_resident=false,checksum=on,colgroups=,collator=,columns=,dictionary=0,encryption=(keyid=,name=),exclusive=false,extractor=,format=btree,huffman_key=,huffman_value=,ignore_in_memory_cache_size=false,immutable=false,internal_item_max=0,internal_key_max=0,internal_key_truncate=true,internal_page_max=4KB,key_format=q,key_gap=10,leaf_item_max=0,leaf_key_max=0,leaf_page_max=32KB,leaf_value_max=64MB,log=(enabled=true),lsm=(auto_throttle=true,bloom=true,bloom_bit_count=16,bloom_config=,bloom_hash_count=8,bloom_oldest=false,chunk_count_limit=0,chunk_max=5GB,chunk_size=10MB,merge_max=15,merge_min=0),memory_page_max=10m,os_cache_dirty_max=0,os_cache_max=0,prefix_compression=false,prefix_compression_min=4,source=,split_deepen_min_child=0,split_deepen_per_child=0,split_pct=90,type=file,value_format=u",
"type" : "file",
"uri" : "statistics:table:collection-4-6088379814182883756",
"LSM" : {
"bloom filter false positives" : 0,
"bloom filter hits" : 0,
"bloom filter misses" : 0,
"bloom filter pages evicted from cache" : 0,
"bloom filter pages read into cache" : 0,
"bloom filters in the LSM tree" : 0,
"chunks in the LSM tree" : 0,
"highest merge generation in the LSM tree" : 0,
"queries that could have benefited from a Bloom filter that did not exist" : 0,
"sleep for LSM checkpoint throttle" : 0,
"sleep for LSM merge throttle" : 0,
"total size of bloom filters" : 0
},
"block-manager" : {
"allocations requiring file extension" : 3,
"blocks allocated" : 3,
"blocks freed" : 0,
"checkpoint size" : 4096,
"file allocation unit size" : 4096,
"file bytes available for reuse" : 0,
"file magic number" : 120897,
"file major version number" : 1,
"file size in bytes" : 16384,
"minor version number" : 0
},
"btree" : {
"btree checkpoint generation" : 22,
"column-store fixed-size leaf pages" : 0,
"column-store internal pages" : 0,
"column-store variable-size RLE encoded values" : 0,
"column-store variable-size deleted values" : 0,
"column-store variable-size leaf pages" : 0,
"fixed-record size" : 0,
"maximum internal page key size" : 368,
"maximum internal page size" : 4096,
"maximum leaf page key size" : 2867,
"maximum leaf page size" : 32768,
"maximum leaf page value size" : 67108864,
"maximum tree depth" : 3,
"number of key/value pairs" : 0,
"overflow pages" : 0,
"pages rewritten by compaction" : 0,
"row-store internal pages" : 0,
"row-store leaf pages" : 0
},
"cache" : {
"bytes currently in the cache" : 952,
"bytes read into cache" : 0,
"bytes written from cache" : 175,
"checkpoint blocked page eviction" : 0,
"data source pages selected for eviction unable to be evicted" : 0,
"hazard pointer blocked page eviction" : 0,
"in-memory page passed criteria to be split" : 0,
"in-memory page splits" : 0,
"internal pages evicted" : 0,
"internal pages split during eviction" : 0,
"leaf pages split during eviction" : 0,
"modified pages evicted" : 0,
"overflow pages read into cache" : 0,
"overflow values cached in memory" : 0,
"page split during eviction deepened the tree" : 0,
"page written requiring lookaside records" : 0,
"pages read into cache" : 0,
"pages read into cache requiring lookaside entries" : 0,
"pages requested from the cache" : 1,
"pages written from cache" : 2,
"pages written requiring in-memory restoration" : 0,
"tracked dirty bytes in the cache" : 0,
"unmodified pages evicted" : 0
},
"cache_walk" : {
"Average difference between current eviction generation when the page was last considered" : 0,
"Average on-disk page image size seen" : 0,
"Clean pages currently in cache" : 0,
"Current eviction generation" : 0,
"Dirty pages currently in cache" : 0,
"Entries in the root page" : 0,
"Internal pages currently in cache" : 0,
"Leaf pages currently in cache" : 0,
"Maximum difference between current eviction generation when the page was last considered" : 0,
"Maximum page size seen" : 0,
"Minimum on-disk page image size seen" : 0,
"On-disk page image sizes smaller than a single allocation unit" : 0,
"Pages created in memory and never written" : 0,
"Pages currently queued for eviction" : 0,
"Pages that could not be queued for eviction" : 0,
"Refs skipped during cache traversal" : 0,
"Size of the root page" : 0,
"Total number of pages currently in cache" : 0
},
"compression" : {
"compressed pages read" : 0,
"compressed pages written" : 0,
"page written failed to compress" : 0,
"page written was too small to compress" : 2,
"raw compression call failed, additional data available" : 0,
"raw compression call failed, no additional data available" : 0,
"raw compression call succeeded" : 0
},
"cursor" : {
"bulk-loaded cursor-insert calls" : 0,
"create calls" : 1,
"cursor-insert key and value bytes inserted" : 81,
"cursor-remove key bytes removed" : 0,
"cursor-update value bytes updated" : 0,
"insert calls" : 1,
"next calls" : 0,
"prev calls" : 1,
"remove calls" : 0,
"reset calls" : 2,
"restarted searches" : 0,
"search calls" : 0,
"search near calls" : 0,
"truncate calls" : 0,
"update calls" : 0
},
"reconciliation" : {
"dictionary matches" : 0,
"fast-path pages deleted" : 0,
"internal page key bytes discarded using suffix compression" : 0,
"internal page multi-block writes" : 0,
"internal-page overflow keys" : 0,
"leaf page key bytes discarded using prefix compression" : 0,
"leaf page multi-block writes" : 0,
"leaf-page overflow keys" : 0,
"maximum blocks required for a page" : 0,
"overflow values written" : 0,
"page checksum matches" : 0,
"page reconciliation calls" : 2,
"page reconciliation calls for eviction" : 0,
"pages deleted" : 0
},
"session" : {
"object compaction" : 0,
"open cursor count" : 1
},
"transaction" : {
"update conflicts" : 0
}
},
"nindexes" : 1,
"totalIndexSize" : 16384,
"indexSizes" : {
"_id_" : 16384
},
"ok" : 1
}
MongoDB副本集
MongoDB也可以做主从配置。在早期，使用master-slave，一主一从和MySQL类似，但slave在此架构中为只读，当主库宕机后，从库不能自动切换为主。目前已经淘汰这种模式。
现在改为副本集，这种模式下，一主（primary）多从（secondary），从仍然只读。同时支持设置权重，当主宕掉后，权重最高的从自动切换为主。
此外，此架构中还可以建立一个仲裁（arbiter）的角色，只负责裁决主是否宕机，而不存储数据，也是为了防止脑裂。因为读写数据都是在主上，所以要想实现负载均衡，还需要手动指定读库的目标server。
场景设置：
全部关闭防火墙和selinux
primary 192.168.100.150（主）
secondary 192.168.100.160（从1）
secondary 192.168.100.170（从2）
在主上进行操作
修改配置文件：
# vim /etc/mongod.conf
port:27018
bindIp: 127.0.0.1,192.168.100.150 #本机内网IP
replication:
oplogSizeMB: 20 #冒号后面记得空格，否则启动会报错
replSetName: lzx #定义副本集的名字
# systemctl restart mongod
# ps aux |grep mongod
mongod 1510 8.0 1.4 1017096 46800 ? Sl 21:21 0:00 /usr/bin/mongod --auth -f /etc/mongod.conf
# vim /usr/lib/systemd/system/mongod.service
Environment="OPTIONS=-f /etc/mongod.conf" #方便实验，去掉--auth
# systemctl daemon-reload
# systemctl restart mongod
# ps aux |grep mongod
mongod 1716 14.3 1.3 1017096 44488 ? Sl 21:40 0:00 /usr/bin/mongod -f /etc/mongod.conf
# netstat -lntp |grep mongod
tcp 0 0 192.168.100.150:27018 0.0.0.0:* LISTEN 1716/mongod
tcp 0 0 127.0.0.1:27018 0.0.0.0:* LISTEN 1716/mongod
在从1上进行操作
修改配置文件：
# vim /etc/mongod.conf
port:27019
bindIp: 127.0.0.1,192.168.100.160 #本机内网IP
replication:
oplogSizeMB: 20
replSetName: lzx
# vim /usr/lib/systemd/system/mongod.service
Environment="OPTIONS=-f /etc/mongod.conf"
# systemctl daemon-reload
# systemctl restart mongod
# ps aux |grep mongod
mongod 2076 14.0 1.2 1017092 48488 ? Sl 21:40 0:00 /usr/bin/mongod -f /etc/mongod.conf
# netstat -lntp |grep mongod
tcp 0 0 192.168.100.160:27019 0.0.0.0:* LISTEN 2076/mongod
tcp 0 0 127.0.0.1:27019 0.0.0.0:* LISTEN 2076/mongod
在从2上进行操作
修改配置文件：
# vim /etc/mongod.conf
port:27020
bindIp: 127.0.0.1,192.168.100.170 #本机内网IP
replication:
oplogSizeMB: 20
replSetName: lzx
# vim /usr/lib/systemd/system/mongod.service
Environment="OPTIONS=-f /etc/mongod.conf"
# systemctl daemon-reload
# systemctl restart mongod
# ps aux |grep mongod
mongod 2086 11.5 1.1 1017100 44588 ? Sl 21:39 0:00 /usr/bin/mongod -f /etc/mongod.conf
# netstat -lntp |grep mongod
tcp 0 0 192.168.100.170:27020 0.0.0.0:* LISTEN 2086/mongod
tcp 0 0 127.0.0.1:27020 0.0.0.0:* LISTEN 2086/mongod
再在主上进行操作
连接主，在主上运行mongo：
# mongo --port 27018
MongoDB shell version v3.4.16
connecting to: mongodb://127.0.0.1:27018
MongoDB server version: 3.4.16
Server has startup warnings:
2018-08-25T21:40:19.064+0800 I CONTROL [initandlisten]
2018-08-25T21:40:19.064+0800 I CONTROL [initandlisten] ** WARNING: Access control is not enabled for the database.
2018-08-25T21:40:19.064+0800 I CONTROL [initandlisten] ** Read and write access to data and configuration is unrestricted.
2018-08-25T21:40:19.064+0800 I CONTROL [initandlisten]
2018-08-25T21:40:19.065+0800 I CONTROL [initandlisten]
2018-08-25T21:40:19.065+0800 I CONTROL [initandlisten] ** WARNING: /sys/kernel/mm/transparent_hugepage/enabled is 'always'.
2018-08-25T21:40:19.065+0800 I CONTROL [initandlisten] ** We suggest setting it to 'never'
2018-08-25T21:40:19.065+0800 I CONTROL [initandlisten]
2018-08-25T21:40:19.065+0800 I CONTROL [initandlisten] ** WARNING: /sys/kernel/mm/transparent_hugepage/defrag is 'always'.
2018-08-25T21:40:19.065+0800 I CONTROL [initandlisten] ** We suggest setting it to 'never'
2018-08-25T21:40:19.065+0800 I CONTROL [initandlisten]
> use admin
switched to db admin
创建副本集：
> config={_id:"lzx",members:[{_id:0,host:"192.168.100.150:27018"},{_id:1,host:"192.168.100.160:27019"},{_id:2,host:"192.168.100.170:27020"}]}
{
"_id" : "lzx",
"members" : [
{
"_id" : 0,
"host" : "192.168.100.150:27018"
},
{
"_id" : 1,
"host" : "192.168.100.160:27019"
},
{
"_id" : 2,
"host" : "192.168.100.170:27020"
}
]
}
> rs.initiate(config) #初始化副本集，必须要保证之前数据库中没有任何数据，否则报错
{ "ok" : 1 }
lzx:OTHER> rs.status() #查看副本集状态
{
"set" : "lzx",
"date" : ISODate("2018-08-26T09:29:41.449Z"),
"myState" : 1,
"term" : NumberLong(1),
"syncingTo" : "",
"syncSourceHost" : "",
"syncSourceId" : -1,
"heartbeatIntervalMillis" : NumberLong(2000),
"optimes" : {
"lastCommittedOpTime" : {
"ts" : Timestamp(1535275776, 1),
"t" : NumberLong(1)
},
"appliedOpTime" : {
"ts" : Timestamp(1535275776, 1),
"t" : NumberLong(1)
},
"durableOpTime" : {
"ts" : Timestamp(1535275776, 1),
"t" : NumberLong(1)
}
},
"members" : [
{
"_id" : 0,
"name" : "192.168.100.150:27018",
"health" : 1,
"state" : 1,
"stateStr" : "PRIMARY", #192.168.100.150是primary
"uptime" : 268,
"optime" : {
"ts" : Timestamp(1535275776, 1),
"t" : NumberLong(1)
},
"optimeDate" : ISODate("2018-08-26T09:29:36Z"),
"syncingTo" : "",
"syncSourceHost" : "",
"syncSourceId" : -1,
"infoMessage" : "",
"electionTime" : Timestamp(1535275644, 1),
"electionDate" : ISODate("2018-08-26T09:27:24Z"),
"configVersion" : 1,
"self" : true,
"lastHeartbeatMessage" : ""
},
{
"_id" : 1,
"name" : "192.168.100.160:27019",
"health" : 1,
"state" : 2,
"stateStr" : "SECONDARY", #192.168.100.160是secondary
"uptime" : 148,
"optime" : {
"ts" : Timestamp(1535275776, 1),
"t" : NumberLong(1)
},
"optimeDurable" : {
"ts" : Timestamp(1535275776, 1),
"t" : NumberLong(1)
},
"optimeDate" : ISODate("2018-08-26T09:29:36Z"),
"optimeDurableDate" : ISODate("2018-08-26T09:29:36Z"),
"lastHeartbeat" : ISODate("2018-08-26T09:29:40.721Z"),
"lastHeartbeatRecv" : ISODate("2018-08-26T09:29:40.698Z"),
"pingMs" : NumberLong(0),
"lastHeartbeatMessage" : "",
"syncingTo" : "192.168.100.170:27020",
"syncSourceHost" : "192.168.100.170:27020",
"syncSourceId" : 2,
"infoMessage" : "",
"configVersion" : 1
},
{
"_id" : 2,
"name" : "192.168.100.170:27020",
"health" : 1,
"state" : 2,
"stateStr" : "SECONDARY", #192.168.100.170是secondary
"uptime" : 148,
"optime" : {
"ts" : Timestamp(1535275776, 1),
"t" : NumberLong(1)
},
"optimeDurable" : {
"ts" : Timestamp(1535275776, 1),
"t" : NumberLong(1)
},
"optimeDate" : ISODate("2018-08-26T09:29:36Z"),
"optimeDurableDate" : ISODate("2018-08-26T09:29:36Z"),
"lastHeartbeat" : ISODate("2018-08-26T09:29:40.721Z"),
"lastHeartbeatRecv" : ISODate("2018-08-26T09:29:39.563Z"),
"pingMs" : NumberLong(0),
"lastHeartbeatMessage" : "",
"syncingTo" : "192.168.100.150:27018",
"syncSourceHost" : "192.168.100.150:27018",
"syncSourceId" : 0,
"infoMessage" : "",
"configVersion" : 1
}
],
"ok" : 1
}
如果两个从上的状态为"stateStr":"STARTUP"，则需要执行下面操作：
> var config={_id:"lzx",members:[{_id:0,host:"192.168.100.150:27018"},{_id:1,host:"192.168.100.160:27019"},{_id:2,host:"192.168.100.170:27020"}]}
> rs.reconfig(config)
此时再次查看rs.status()会发现从的状态变为SECONDARY。如果没有PRIMARY，可以去增加权重，权重高的即为PRIMARY。
副本集测试：
lzx:PRIMARY> use mydb
switched to db mydb
lzx:PRIMARY> db.acc.insert({AccountID:1,UserName:"123",password:"123456"}) #创建集合，插入数据
WriteResult({ "nInserted" : 1 })
lzx:PRIMARY> show dbs
admin 0.000GB
local 0.000GB
mydb 0.000GB #有mydb库
lzx:PRIMARY> use mydb
switched to db mydb
lzx:PRIMARY> show tables
acc #有acc集合
在从1上进行操作
查看刚刚主上创建的数据：
# mongo --port 27019
MongoDB shell version v3.4.16
connecting to: mongodb://127.0.0.1:27019/
MongoDB server version: 3.4.16
Server has startup warnings:
2018-08-26T05:32:20.355-0400 I CONTROL [initandlisten]
2018-08-26T05:32:20.355-0400 I CONTROL [initandlisten] ** WARNING: Access control is not enabled for the database.
2018-08-26T05:32:20.355-0400 I CONTROL [initandlisten] ** Read and write access to data and configuration is unrestricted.
2018-08-26T05:32:20.355-0400 I CONTROL [initandlisten]
2018-08-26T05:32:20.355-0400 I CONTROL [initandlisten]
2018-08-26T05:32:20.355-0400 I CONTROL [initandlisten] ** WARNING: /sys/kernel/mm/transparent_hugepage/enabled is 'always'.
2018-08-26T05:32:20.355-0400 I CONTROL [initandlisten] ** We suggest setting it to 'never'
2018-08-26T05:32:20.355-0400 I CONTROL [initandlisten]
2018-08-26T05:32:20.355-0400 I CONTROL [initandlisten] ** WARNING: /sys/kernel/mm/transparent_hugepage/defrag is 'always'.
2018-08-26T05:32:20.355-0400 I CONTROL [initandlisten] ** We suggest setting it to 'never'
2018-08-26T05:32:20.355-0400 I CONTROL [initandlisten]
lzx:SECONDARY> show dbs
2018-08-26T05:58:31.215-0400 E QUERY [thread1] Error: listDatabases failed:{
"ok" : 0,
"errmsg" : "not master and slaveOk=false", #有这样的报错信息
"code" : 13435,
"codeName" : "NotMasterNoSlaveOk"
} :
_getErrorWithCode@src/mongo/shell/utils.js:25:13
Mongo.prototype.getDBs@src/mongo/shell/mongo.js:62:1
shellHelper.show@src/mongo/shell/utils.js:788:19
shellHelper@src/mongo/shell/utils.js:678:15
@(shellhelp2):1:1
lzx:SECONDARY> rs.slaveOk() #设置slaveOk=true
lzx:SECONDARY> show dbs
admin 0.000GB
local 0.000GB
mydb 0.000GB #可以看到有mydb库
lzx:SECONDARY> use mydb
switched to db mydb
lzx:SECONDARY> show tables
acc #可以看到有acc集合
在从2上进行操作
查看刚刚主上创建的数据（与上面一致）：
# mongo --port 27020
MongoDB shell version v3.4.16
connecting to: mongodb://127.0.0.1:27020/
MongoDB server version: 3.4.16
Server has startup warnings:
2018-08-26T05:25:13.079-0400 I CONTROL [initandlisten]
2018-08-26T05:25:13.079-0400 I CONTROL [initandlisten] ** WARNING: Access control is not enabled for the database.
2018-08-26T05:25:13.079-0400 I CONTROL [initandlisten] ** Read and write access to data and configuration is unrestricted.
2018-08-26T05:25:13.079-0400 I CONTROL [initandlisten]
2018-08-26T05:25:13.079-0400 I CONTROL [initandlisten]
2018-08-26T05:25:13.079-0400 I CONTROL [initandlisten] ** WARNING: /sys/kernel/mm/transparent_hugepage/enabled is 'always'.
2018-08-26T05:25:13.079-0400 I CONTROL [initandlisten] ** We suggest setting it to 'never'
2018-08-26T05:25:13.080-0400 I CONTROL [initandlisten]
2018-08-26T05:25:13.080-0400 I CONTROL [initandlisten] ** WARNING: /sys/kernel/mm/transparent_hugepage/defrag is 'always'.
2018-08-26T05:25:13.080-0400 I CONTROL [initandlisten] ** We suggest setting it to 'never'
2018-08-26T05:25:13.080-0400 I CONTROL [initandlisten]
lzx:SECONDARY> show dbs
2018-08-26T05:58:31.215-0400 E QUERY [thread1] Error: listDatabases failed:{
"ok" : 0,
"errmsg" : "not master and slaveOk=false",
"code" : 13435,
"codeName" : "NotMasterNoSlaveOk"
} :
_getErrorWithCode@src/mongo/shell/utils.js:25:13
Mongo.prototype.getDBs@src/mongo/shell/mongo.js:62:1
shellHelper.show@src/mongo/shell/utils.js:788:19
shellHelper@src/mongo/shell/utils.js:678:15
@(shellhelp2):1:1
lzx:SECONDARY> rs.slaveOk() #设置slaveOk=true
lzx:SECONDARY> show dbs
admin 0.000GB
local 0.000GB
mydb 0.000GB #可以看到有mydb库
lzx:SECONDARY> use mydb
switched to db mydb
lzx:SECONDARY> show tables
acc #可以看到有acc集合
继续在主上进行操作：
查看权重：
lzx:PRIMARY> rs.config()
{
"_id" : "lzx",
"version" : 1,
"protocolVersion" : NumberLong(1),
"members" : [
{
"_id" : 0,
"host" : "192.168.100.150:27018",
"arbiterOnly" : false,
"buildIndexes" : true,
"hidden" : false,
"priority" : 1, #权重为1
"tags" : {
},
"slaveDelay" : NumberLong(0),
"votes" : 1
},
{
"_id" : 1,
"host" : "192.168.100.160:27019",
"arbiterOnly" : false,
"buildIndexes" : true,
"hidden" : false,
"priority" : 1, #权重为1
"tags" : {
},
"slaveDelay" : NumberLong(0),
"votes" : 1
},
{
"_id" : 2,
"host" : "192.168.100.170:27020",
"arbiterOnly" : false,
"buildIndexes" : true,
"hidden" : false,
"priority" : 1, #权重为1
"tags" : {
},
"slaveDelay" : NumberLong(0),
"votes" : 1
}
],
"settings" : {
"chainingAllowed" : true,
"heartbeatIntervalMillis" : 2000,
"heartbeatTimeoutSecs" : 10,
"electionTimeoutMillis" : 10000,
"catchUpTimeoutMillis" : 60000,
"getLastErrorModes" : {
},
"getLastErrorDefaults" : {
"w" : 1,
"wtimeout" : 0
},
"replicaSetId" : ObjectId("5b827271b551f8b2b89e2ff0")
}
}
增加防火墙规则，模拟宕机：
# iptables -I INPUT -p tcp --dport 27018 -j DROP
在从1上面查看副本集状态：
lzx:SECONDARY> rs.status()
{
"set" : "lzx",
"date" : ISODate("2018-08-26T10:13:08.119Z"),
"myState" : 2,
"term" : NumberLong(2),
"syncingTo" : "192.168.100.170:27020",
"syncSourceHost" : "192.168.100.170:27020",
"syncSourceId" : 2,
"heartbeatIntervalMillis" : NumberLong(2000),
"optimes" : {
"lastCommittedOpTime" : {
"ts" : Timestamp(1535277967, 1),
"t" : NumberLong(2)
},
"appliedOpTime" : {
"ts" : Timestamp(1535277967, 1),
"t" : NumberLong(2)
},
"durableOpTime" : {
"ts" : Timestamp(1535277967, 1),
"t" : NumberLong(2)
}
},
"members" : [
{
"_id" : 0,
"name" : "192.168.100.150:27018",
"health" : 0,
"state" : 8,
"stateStr" : "(not reachable/healthy)", #192.168.100.150变成不可达
"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("2018-08-26T10:13:06.423Z"),
"lastHeartbeatRecv" : ISODate("2018-08-26T10:13:07.227Z"),
"pingMs" : NumberLong(0),
"lastHeartbeatMessage" : "Couldn't get a connection within the time limit",
"syncingTo" : "",
"syncSourceHost" : "",
"syncSourceId" : -1,
"infoMessage" : "",
"configVersion" : -1
},
{
"_id" : 1,
"name" : "192.168.100.160:27019",
"health" : 1,
"state" : 2,
"stateStr" : "SECONDARY",
"uptime" : 2449,
"optime" : {
"ts" : Timestamp(1535277967, 1),
"t" : NumberLong(2)
},
"optimeDate" : ISODate("2018-08-26T10:06:07Z"),
"syncingTo" : "192.168.100.170:27020",
"syncSourceHost" : "192.168.100.170:27020",
"syncSourceId" : 2,
"infoMessage" : "",
"configVersion" : 1,
"self" : true,
"lastHeartbeatMessage" : ""
},
{
"_id" : 2,
"name" : "192.168.100.170:27020",
"health" : 1,
"state" : 1,
"stateStr" : "PRIMARY", #192.168.100.170变成primary
"uptime" : 2344,
"optime" : {
"ts" : Timestamp(1535277967, 1),
"t" : NumberLong(2)
},
"optimeDurable" : {
"ts" : Timestamp(1535277967, 1),
"t" : NumberLong(2)
},
"optimeDate" : ISODate("2018-08-26T10:06:07Z"),
"optimeDurableDate" : ISODate("2018-08-26T10:06:07Z"),
"lastHeartbeat" : ISODate("2018-08-26T10:13:06.469Z"),
"lastHeartbeatRecv" : ISODate("2018-08-26T10:13:06.866Z"),
"pingMs" : NumberLong(0),
"lastHeartbeatMessage" : "",
"syncingTo" : "",
"syncSourceHost" : "",
"syncSourceId" : -1,
"infoMessage" : "",
"electionTime" : Timestamp(1535277926, 2),
"electionDate" : ISODate("2018-08-26T10:05:26Z"),
"configVersion" : 1
}
],
"ok" : 1
}
在主上操作：删除规则，查看是否变回去：
# iptables -D INPUT -p tcp --dport 27018 -j DROP
# mongo --port 27018
MongoDB shell version v3.4.16
connecting to: mongodb://127.0.0.1:27018/
MongoDB server version: 3.4.16
Server has startup warnings:
2018-08-26T05:25:16.157-0400 I CONTROL [initandlisten]
2018-08-26T05:25:16.157-0400 I CONTROL [initandlisten] ** WARNING: Access control is not enabled for the database.
2018-08-26T05:25:16.157-0400 I CONTROL [initandlisten] ** Read and write access to data and configuration is unrestricted.
2018-08-26T05:25:16.157-0400 I CONTROL [initandlisten]
2018-08-26T05:25:16.157-0400 I CONTROL [initandlisten]
2018-08-26T05:25:16.157-0400 I CONTROL [initandlisten] ** WARNING: /sys/kernel/mm/transparent_hugepage/enabled is 'always'.
2018-08-26T05:25:16.157-0400 I CONTROL [initandlisten] ** We suggest setting it to 'never'
2018-08-26T05:25:16.157-0400 I CONTROL [initandlisten]
2018-08-26T05:25:16.157-0400 I CONTROL [initandlisten] ** WARNING: /sys/kernel/mm/transparent_hugepage/defrag is 'always'.
2018-08-26T05:25:16.157-0400 I CONTROL [initandlisten] ** We suggest setting it to 'never'
2018-08-26T05:25:16.157-0400 I CONTROL [initandlisten]
lzx:SECONDARY> #192.168.100.150仍然是从，因为三者权重相等，除非它的权重最高才会变回primary
在从2上进行操作（因为是新的主）
设置权重：
lzx:PRIMARY> cfg=rs.conf()
{
"_id" : "lzx",
"version" : 1,
"protocolVersion" : NumberLong(1),
"members" : [
{
"_id" : 0,
"host" : "192.168.100.150:27018",
"arbiterOnly" : false,
"buildIndexes" : true,
"hidden" : false,
"priority" : 1,
"tags" : {
},
"slaveDelay" : NumberLong(0),
"votes" : 1
},
{
"_id" : 1,
"host" : "192.168.100.160:27019",
"arbiterOnly" : false,
"buildIndexes" : true,
"hidden" : false,
"priority" : 1,
"tags" : {
},
"slaveDelay" : NumberLong(0),
"votes" : 1
},
{
"_id" : 2,
"host" : "192.168.100.170:27020",
"arbiterOnly" : false,
"buildIndexes" : true,
"hidden" : false,
"priority" : 1,
"tags" : {
},
"slaveDelay" : NumberLong(0),
"votes" : 1
}
],
"settings" : {
"chainingAllowed" : true,
"heartbeatIntervalMillis" : 2000,
"heartbeatTimeoutSecs" : 10,
"electionTimeoutMillis" : 10000,
"catchUpTimeoutMillis" : 60000,
"getLastErrorModes" : {
},
"getLastErrorDefaults" : {
"w" : 1,
"wtimeout" : 0
},
"replicaSetId" : ObjectId("5b827271b551f8b2b89e2ff0")
}
}
lzx:PRIMARY> cfg.members[0].priority = 3 #设置成员0权重为3
3
lzx:PRIMARY> cfg.members[1].priority = 2 #设置成员1权重为2
2
lzx:PRIMARY> cfg.members[2].priority = 1 #设置成员2权重为1
1
lzx:PRIMARY> rs.reconfig(cfg) #使上面权重设置生效
{ "ok" : 1 }
lzx:PRIMARY> #按Enter键
2018-08-26T06:21:40.200-0400 I NETWORK [thread1] trying reconnect to 127.0.0.1:27020 (127.0.0.1) failed
2018-08-26T06:21:40.200-0400 I NETWORK [thread1] reconnect 127.0.0.1:27020 (127.0.0.1) ok
lzx:SECONDARY> #从2由主变为从
lzx:SECONDARY> rs.config() #查看权重
{
"_id" : "lzx",
"version" : 2,
"protocolVersion" : NumberLong(1),
"members" : [
{
"_id" : 0,
"host" : "192.168.100.150:27018",
"arbiterOnly" : false,
"buildIndexes" : true,
"hidden" : false,
"priority" : 3,
"tags" : {
},
"slaveDelay" : NumberLong(0),
"votes" : 1
},
{
"_id" : 1,
"host" : "192.168.100.160:27019",
"arbiterOnly" : false,
"buildIndexes" : true,
"hidden" : false,
"priority" : 2,
"tags" : {
},
"slaveDelay" : NumberLong(0),
"votes" : 1
},
{
"_id" : 2,
"host" : "192.168.100.170:27020",
"arbiterOnly" : false,
"buildIndexes" : true,
"hidden" : false,
"priority" : 1,
"tags" : {
},
"slaveDelay" : NumberLong(0),
"votes" : 1
}
],
"settings" : {
"chainingAllowed" : true,
"heartbeatIntervalMillis" : 2000,
"heartbeatTimeoutSecs" : 10,
"electionTimeoutMillis" : 10000,
"catchUpTimeoutMillis" : 60000,
"getLastErrorModes" : {
},
"getLastErrorDefaults" : {
"w" : 1,
"wtimeout" : 0
},
"replicaSetId" : ObjectId("5b827271b551f8b2b89e2ff0")
}
}
MongoDB分片
分片就是将数据库进行拆分，将大型集合分割到不同服务器上。比如，本来100G的数据，可以分割成10份存储到10台服务器上，这样每台机器只有10G的数据。
分片后的数据存储与访问是由一个mongos的进程来实现的，即mongos是整个分片架构的核心。对客户端而言是透明的，客户端只需要把读写操作转达给mongos即可。
虽然分片会把数据分割到很多服务器上，但是每一个节点都需要有一个备用角色的，这样能保证数据的高可用。当系统需要更多空间或资源的时候，分片可以很方便地让我们按需扩展，只需要把mongodb服务的机器加入到分片集群中即可。
MongoDB分片相关概念：
mongos：数据库集群请求的入口，所有的请求都是通过mongos进行协调，不需要再应用程序中添加一个路由选择器，mongos自己就是一个请求分发中心，
它负责把对应的数据请求转发到对应的shard服务器上。在生产环境通常有多mongos作为请求的入口，防止其中一个挂掉而导致所有的mongodb请求都没有办法操作。
config server：配置服务器，存储所有数据库元信息（路由、分片）的配置。mongos本身没有物理存储分片服务器和数据路由信息，只是缓存在内存里，
配置放服务器则实际存储这些信息。mongos第一次启动或者关掉重启就会从配置服务器加载配置信息，以后如果配置服务器信息变化会通知到所有的mongos更新自己的状态，
这样mongos就能继续准确路由。在生产环境通常有多个config server，因为它存储了分片路由的元数据，防止数据丢失。
shard：存储了一个集合部分数据的mongodb实例，每个分片是单独的mongodb服务或者副本集，在生产环境中，所有的分片都应该是副本集。
场景设置：
A：192.168.100.150 B：192.168.100.160 C：192.168.100.170
A搭建：mongos、config server、副本集1 主节点、副本集2 从节点、副本集3 仲裁
B搭建：mongos、config server、副本集1 仲裁、副本集2 主节点、副本集3 从节点
C搭建：mongos、config server、副本集1 从节点、副本集2 仲裁、副本集3 主节点
端口分配：mongos 20000、config 21000、副本集1 27001、副本集2 27002、副本集3 27003
分别在三台机器上创建各个角色所需要的目录：
/data/mongodb/mongos/log
/data/mongodb/config/{data,log}
/data/mongodb/shard1/{data,log}
/data/mongodb/shard2/{data,log}
/data/mongodb/shard3/{data,log}
三台机器全部关闭防火墙和SElinux，或者增加对应端口的规则
config server配置
在A机器上进行操作
创建目录：
# mkdir -p /data/mongodb/mongos/log
# mkdir -p /data/mongodb/config/{data,log}
# mkdir -p /data/mongodb/shard1/{data,log}
# mkdir -p /data/mongodb/shard2/{data,log}
# mkdir -p /data/mongodb/shard3/{data,log}
# mkdir /etc/mongod/
修改配置文件：
# vim /etc/mongod/config.conf
pidfilepath = /var/run/mongodb/configsrv.pid
dbpath = /data/mongodb/config/data
logpath = /data/mongodb/config/log/configsrv.log
logappend = true
bind_ip = 192.168.100.150
port = 21000
fork = true
configsvr = true
replSet=configs #副本集名称
maxConns=20000 #设置最大连接数
启动服务：
# mongod -f /etc/mongod/config.conf
about to fork child process, waiting until server is ready for connections.
forked process: 10212
child process started successfully, parent exiting
# netstat -lntp |grep mongod
tcp 0 0 192.168.100.150:21000 0.0.0.0:* LISTEN 10212/mongod
tcp 0 0 192.168.100.150:27018 0.0.0.0:* LISTEN 10185/mongod
tcp 0 0 127.0.0.1:27018 0.0.0.0:* LISTEN 10185/mongod
在B机器上进行操作
创建目录：
# mkdir -p /data/mongodb/mongos/log
# mkdir -p /data/mongodb/config/{data,log}
# mkdir -p /data/mongodb/shard1/{data,log}
# mkdir -p /data/mongodb/shard2/{data,log}
# mkdir -p /data/mongodb/shard3/{data,log}
# mkdir /etc/mongod/
添加配置文件：
# vim /etc/mongod/config.conf
pidfilepath = /var/run/mongodb/configsrv.pid
dbpath = /data/mongodb/config/data
logpath = /data/mongodb/config/log/configsrv.log
logappend = true
bind_ip = 192.168.100.160
port = 21000
fork = true
configsvr = true
replSet=configs
maxConns=20000
启动服务：
# mongod -f /etc/mongod/config.conf
about to fork child process, waiting until server is ready for connections.
forked process: 10472
child process started successfully, parent exiting
# netstat -lntp |grep mongod
tcp 0 0 192.168.100.160:27019 0.0.0.0:* LISTEN 10446/mongod
tcp 0 0 127.0.0.1:27019 0.0.0.0:* LISTEN 10446/mongod
tcp 0 0 192.168.100.160:21000 0.0.0.0:* LISTEN 10472/mongod
在C机器上进行操作
创建目录：
# mkdir -p /data/mongodb/mongos/log
# mkdir -p /data/mongodb/config/{data,log}
# mkdir -p /data/mongodb/shard1/{data,log}
# mkdir -p /data/mongodb/shard2/{data,log}
# mkdir -p /data/mongodb/shard3/{data,log}
# mkdir /etc/mongod/
修改配置文件：
# vim /etc/mongod/config.conf
pidfilepath = /var/run/mongodb/configsrv.pid
dbpath = /data/mongodb/config/data
logpath = /data/mongodb/config/log/configsrv.log
logappend = true
bind_ip = 192.168.100.170
port = 21000
fork = true
configsvr = true
replSet=configs
maxConns=20000
启动服务：
# mongod -f /etc/mongod/config.conf
about to fork child process, waiting until server is ready for connections.
forked process: 10444
child process started successfully, parent exiting
# netstat -lntp |grep mongod
tcp 0 0 192.168.100.170:27020 0.0.0.0:* LISTEN 10418/mongod
tcp 0 0 127.0.0.1:27020 0.0.0.0:* LISTEN 10418/mongod
tcp 0 0 192.168.100.170:21000 0.0.0.0:* LISTEN 10444/mongod
创建副本集
三台机器都已经启动服务，由于他们权重都一样，所以可以任选一台机器来创建副本集。下面我在A机器上操作。
- 创建并初始化副本集：
# mongo --host 192.168.100.150 --port 21000
> use admin
switched to db admin
> config={_id:"configs",members:[{_id:0,host:"192.168.100.150:21000"},{_id:1,host:"192.168.100.160:21000"},{_id:2,host:"192.168.100.170:21000"}]}
{
"_id" : "configs",
"members" : [
{
"_id" : 0,
"host" : "192.168.100.150:21000"
},
{
"_id" : 1,
"host" : "192.168.100.160:21000"
},
{
"_id" : 2,
"host" : "192.168.100.170:21000"
}
]
}
> rs.initiate(config) #初始化副本集
{ "ok" : 1 }
configs:OTHER> rs.status() #查看副本集状态
{
"set" : "configs",
"date" : ISODate("2018-08-27T05:28:33.632Z"),
"myState" : 1,
"term" : NumberLong(1),
"syncingTo" : "",
"syncSourceHost" : "",
"syncSourceId" : -1,
"configsvr" : true,
"heartbeatIntervalMillis" : NumberLong(2000),
"optimes" : {
"lastCommittedOpTime" : {
"ts" : Timestamp(1535347694, 1),
"t" : NumberLong(1)
},
"readConcernMajorityOpTime" : {
"ts" : Timestamp(1535347694, 1),
"t" : NumberLong(1)
},
"appliedOpTime" : {
"ts" : Timestamp(1535347694, 1),
"t" : NumberLong(1)
},
"durableOpTime" : {
"ts" : Timestamp(1535347694, 1),
"t" : NumberLong(1)
}
},
"members" : [
{
"_id" : 0,
"name" : "192.168.100.150:21000",
"health" : 1,
"state" : 1,
"stateStr" : "PRIMARY", #192.168.100.150是primary
"uptime" : 1163,
"optime" : {
"ts" : Timestamp(1535347694, 1),
"t" : NumberLong(1)
},
"optimeDate" : ISODate("2018-08-27T05:28:14Z"),
"syncingTo" : "",
"syncSourceHost" : "",
"syncSourceId" : -1,
"infoMessage" : "could not find member to sync from",
"electionTime" : Timestamp(1535347692, 1),
"electionDate" : ISODate("2018-08-27T05:28:12Z"),
"configVersion" : 1,
"self" : true,
"lastHeartbeatMessage" : ""
},
{
"_id" : 1,
"name" : "192.168.100.160:21000",
"health" : 1,
"state" : 2,
"stateStr" : "SECONDARY",
"uptime" : 32,
"optime" : {
"ts" : Timestamp(1535347694, 1),
"t" : NumberLong(1)
},
"optimeDurable" : {
"ts" : Timestamp(1535347694, 1),
"t" : NumberLong(1)
},
"optimeDate" : ISODate("2018-08-27T05:28:14Z"),
"optimeDurableDate" : ISODate("2018-08-27T05:28:14Z"),
"lastHeartbeat" : ISODate("2018-08-27T05:28:32.620Z"),
"lastHeartbeatRecv" : ISODate("2018-08-27T05:28:31.678Z"),
"pingMs" : NumberLong(0),
"lastHeartbeatMessage" : "",
"syncingTo" : "192.168.100.170:21000",
"syncSourceHost" : "192.168.100.170:21000",
"syncSourceId" : 2,
"infoMessage" : "",
"configVersion" : 1
},
{
"_id" : 2,
"name" : "192.168.100.170:21000",
"health" : 1,
"state" : 2,
"stateStr" : "SECONDARY",
"uptime" : 32,
"optime" : {
"ts" : Timestamp(1535347694, 1),
"t" : NumberLong(1)
},
"optimeDurable" : {
"ts" : Timestamp(1535347694, 1),
"t" : NumberLong(1)
},
"optimeDate" : ISODate("2018-08-27T05:28:14Z"),
"optimeDurableDate" : ISODate("2018-08-27T05:28:14Z"),
"lastHeartbeat" : ISODate("2018-08-27T05:28:32.620Z"),
"lastHeartbeatRecv" : ISODate("2018-08-27T05:28:32.763Z"),
"pingMs" : NumberLong(0),
"lastHeartbeatMessage" : "",
"syncingTo" : "192.168.100.150:21000",
"syncSourceHost" : "192.168.100.150:21000",
"syncSourceId" : 0,
"infoMessage" : "",
"configVersion" : 1
}
],
"ok" : 1
}
至此，config server配置完毕。
shard配置
在A机器上进行操作
- 添加配置文件：
# vim /etc/mongod/shard1.conf
pidfilepath = /var/run/mongodb/shard1.pid
dbpath = /data/mongodb/shard1/data
logpath = /data/mongodb/shard1/log/shard1.log
logappend = true
bind_ip = 192.168.100.150
port = 27001
fork = true
httpinterface=true #打开web监控
rest=true
replSet=shard1 #副本集名称
shardsvr = true
maxConns=20000 #设置最大连接数
# cd /etc/mongod/
# cp shard1.conf shard2.conf
# cp shard1.conf shard3.conf
# vim shard2.conf
pidfilepath = /var/run/mongodb/shard2.pid
dbpath = /data/mongodb/shard2/data
logpath = /data/mongodb/shard2/log/shard2.log
logappend = true
bind_ip = 192.168.100.150
port = 27002 #注意更改端口
fork = true
httpinterface=true
rest=true
replSet=shard2
shardsvr = true
maxConns=20000
# vim shard3.conf
pidfilepath = /var/run/mongodb/shard3.pid
dbpath = /data/mongodb/shard3/data
logpath = /data/mongodb/shard3/log/shard3.log
logappend = true
bind_ip = 192.168.100.150
port = 27003 #注意更改端口
fork = true
httpinterface=true
rest=true
replSet=shard3
shardsvr = true
maxConns=20000
启动服务：
# mongod -f /etc/mongod/shard1.conf
about to fork child process, waiting until server is ready for connections.
forked process: 10387
child process started successfully, parent exiting
# mongod -f /etc/mongod/shard2.conf
about to fork child process, waiting until server is ready for connections.
forked process: 10417
child process started successfully, parent exiting
# mongod -f /etc/mongod/shard3.conf
about to fork child process, waiting until server is ready for connections.
forked process: 10446
child process started successfully, parent exiting
# netstat -lntp |grep mongod
tcp 0 0 192.168.100.150:27001 0.0.0.0:* LISTEN 10387/mongod
tcp 0 0 192.168.100.150:27002 0.0.0.0:* LISTEN 10417/mongod
tcp 0 0 192.168.100.150:27003 0.0.0.0:* LISTEN 10446/mongod
tcp 0 0 192.168.100.150:28001 0.0.0.0:* LISTEN 10387/mongod
tcp 0 0 192.168.100.150:28002 0.0.0.0:* LISTEN 10417/mongod
tcp 0 0 192.168.100.150:28003 0.0.0.0:* LISTEN 10446/mongod
tcp 0 0 192.168.100.150:21000 0.0.0.0:* LISTEN 10212/mongod
tcp 0 0 192.168.100.150:27018 0.0.0.0:* LISTEN 10185/mongod
tcp 0 0 127.0.0.1:27018 0.0.0.0:* LISTEN 10185/mongod
在B机器上进行操作
添加配置文件：
# vim /etc/mongod/shard1.conf
pidfilepath = /var/run/mongodb/shard1.pid
dbpath = /data/mongodb/shard1/data
logpath = /data/mongodb/shard1/log/shard1.log
logappend = true
bind_ip = 192.168.100.160
port = 27001
fork = true
httpinterface=true
rest=true
replSet=shard1
shardsvr = true
maxConns=20000
# cd /etc/mongod/
# cp shard1.conf shard2.conf
# cp shard1.conf shard3.conf
# vim shard2.conf
pidfilepath = /var/run/mongodb/shard2.pid
dbpath = /data/mongodb/shard2/data
logpath = /data/mongodb/shard2/log/shard2.log
logappend = true
bind_ip = 192.168.100.160
port = 27002
fork = true
httpinterface=true
rest=true
replSet=shard2
shardsvr = true
maxConns=20000
# cd /etc/mongod/
# cp shard1.conf shard2.conf
# cp shard1.conf shard3.conf
# vim shard2.conf
pidfilepath = /var/run/mongodb/shard2.pid
dbpath = /data/mongodb/shard2/data
logpath = /data/mongodb/shard2/log/shard2.log
logappend = true
bind_ip = 192.168.100.160
port = 27002
fork = true
httpinterface=true
rest=true
replSet=shard2
shardsvr = true
maxConns=20000
# vim shard3.conf
pidfilepath = /var/run/mongodb/shard3.pid
dbpath = /data/mongodb/shard3/data
logpath = /data/mongodb/shard3/log/shard3.log
logappend = true
bind_ip = 192.168.100.160
port = 27003
fork = true
httpinterface=true
rest=true
replSet=shard3
shardsvr = true
maxConns=20000
启动服务：
# mongod -f /etc/mongod/shard1.conf
about to fork child process, waiting until server is ready for connections.
forked process: 10795
child process started successfully, parent exiting
# mongod -f /etc/mongod/shard2.conf
about to fork child process, waiting until server is ready for connections.
forked process: 10824
child process started successfully, parent exiting
# mongod -f /etc/mongod/shard3.conf
about to fork child process, waiting until server is ready for connections.
forked process: 10853
child process started successfully, parent exiting
# netstat -lntp |grep mongod
tcp 0 0 192.168.100.160:27019 0.0.0.0:* LISTEN 10446/mongod
tcp 0 0 127.0.0.1:27019 0.0.0.0:* LISTEN 10446/mongod
tcp 0 0 192.168.100.160:27001 0.0.0.0:* LISTEN 10795/mongod
tcp 0 0 192.168.100.160:27002 0.0.0.0:* LISTEN 10824/mongod
tcp 0 0 192.168.100.160:27003 0.0.0.0:* LISTEN 10853/mongod
tcp 0 0 192.168.100.160:28001 0.0.0.0:* LISTEN 10795/mongod
tcp 0 0 192.168.100.160:28002 0.0.0.0:* LISTEN 10824/mongod
tcp 0 0 192.168.100.160:28003 0.0.0.0:* LISTEN 10853/mongod
tcp 0 0 192.168.100.160:21000 0.0.0.0:* LISTEN 10472/mongod
在C机器上进行操作
添加配置文件：
# vim /etc/mongod/shard1.conf
pidfilepath = /var/run/mongodb/shard1.pid
dbpath = /data/mongodb/shard1/data
logpath = /data/mongodb/shard1/log/shard1.log
logappend = true
bind_ip = 192.168.100.170
port = 27001
fork = true
httpinterface=true
rest=true
replSet=shard1
shardsvr = true
maxConns=20000
# cd /etc/mongod/
# cp shard1.conf shard2.conf
# cp shard1.conf shard3.conf
# vim shard2.conf
pidfilepath = /var/run/mongodb/shard2.pid
dbpath = /data/mongodb/shard2/data
logpath = /data/mongodb/shard2/log/shard2.log
logappend = true
bind_ip = 192.168.100.170
port = 27002
fork = true
httpinterface=true
rest=true
replSet=shard2
shardsvr = true
maxConns=20000
# vim shard3.conf
pidfilepath = /var/run/mongodb/shard3.pid
dbpath = /data/mongodb/shard3/data
logpath = /data/mongodb/shard3/log/shard3.log
logappend = true
bind_ip = 192.168.100.170
port = 27003
fork = true
httpinterface=true
rest=true
replSet=shard3
shardsvr = true
maxConns=20000
启动服务：
# mongod -f /etc/mongod/shard1.conf
about to fork child process, waiting until server is ready for connections.
forked process: 10607
child process started successfully, parent exiting
# mongod -f /etc/mongod/shard2.conf
about to fork child process, waiting until server is ready for connections.
forked process: 10636
child process started successfully, parent exiting
# mongod -f /etc/mongod/shard3.conf
about to fork child process, waiting until server is ready for connections.
forked process: 10665
child process started successfully, parent exiting
# netstat -lntp |grep mongod
tcp 0 0 192.168.100.170:27020 0.0.0.0:* LISTEN 10418/mongod
tcp 0 0 127.0.0.1:27020 0.0.0.0:* LISTEN 10418/mongod
tcp 0 0 192.168.100.170:27001 0.0.0.0:* LISTEN 10607/mongod
tcp 0 0 192.168.100.170:27002 0.0.0.0:* LISTEN 10636/mongod
tcp 0 0 192.168.100.170:27003 0.0.0.0:* LISTEN 10665/mongod
tcp 0 0 192.168.100.170:28001 0.0.0.0:* LISTEN 10607/mongod
tcp 0 0 192.168.100.170:28002 0.0.0.0:* LISTEN 10636/mongod
tcp 0 0 192.168.100.170:28003 0.0.0.0:* LISTEN 10665/mongod
tcp 0 0 192.168.100.170:21000 0.0.0.0:* LISTEN 10444/mongod
创建副本集
因为每个分片里面都有仲裁节点，而仲裁节点不能作为登录入口，所以只能选择非仲裁节点登录进行操作。
针对shard1，我使用A机器登录操作。
创建并初始化副本集shard1：
# mongo --host 192.168.100.150 --port 27001
> use admin
switched to db admin
> config={_id:"shard1",members:[{_id:0,host:"192.168.100.150:27001"},{_id:1,host:"192.168.100.160:27001"},{_id:2,host:"192.168.100.170:27001",arbiterOnly:true}]} //192.168.100.170作为仲裁节点
{
"_id" : "shard1",
"members" : [
{
"_id" : 0,
"host" : "192.168.100.150:27001"
},
{
"_id" : 1,
"host" : "192.168.100.160:27001"
},
{
"_id" : 2,
"host" : "192.168.100.170:27001",
"arbiterOnly" : true
}
]
}
> rs.initiate(config) #初始化副本集
{ "ok" : 1 }
shard1:OTHER> rs.status()
{
"set" : "shard1",
"date" : ISODate("2018-08-27T04:45:50.273Z"),
"myState" : 2,
"term" : NumberLong(0),
"syncingTo" : "",
"syncSourceHost" : "",
"syncSourceId" : -1,
"heartbeatIntervalMillis" : NumberLong(2000),
"optimes" : {
"lastCommittedOpTime" : {
"ts" : Timestamp(0, 0),
"t" : NumberLong(-1)
},
"appliedOpTime" : {
"ts" : Timestamp(1535345139, 1),
"t" : NumberLong(-1)
},
"durableOpTime" : {
"ts" : Timestamp(1535345139, 1),
"t" : NumberLong(-1)
}
},
"members" : [
{
"_id" : 0,
"name" : "192.168.100.150:27001",
"health" : 1,
"state" : 2,
"stateStr" : "SECONDARY",
"uptime" : 828,
"optime" : {
"ts" : Timestamp(1535345139, 1),
"t" : NumberLong(-1)
},
"optimeDate" : ISODate("2018-08-27T04:45:39Z"),
"syncingTo" : "",
"syncSourceHost" : "",
"syncSourceId" : -1,
"infoMessage" : "could not find member to sync from",
"configVersion" : 1,
"self" : true,
"lastHeartbeatMessage" : ""
},
{
"_id" : 1,
"name" : "192.168.100.160:27001",
"health" : 1,
"state" : 2,
"stateStr" : "SECONDARY",
"uptime" : 10,
"optime" : {
"ts" : Timestamp(1535345139, 1),
"t" : NumberLong(-1)
},
"optimeDurable" : {
"ts" : Timestamp(1535345139, 1),
"t" : NumberLong(-1)
},
"optimeDate" : ISODate("2018-08-27T04:45:39Z"),
"optimeDurableDate" : ISODate("2018-08-27T04:45:39Z"),
"lastHeartbeat" : ISODate("2018-08-27T04:45:49.984Z"),
"lastHeartbeatRecv" : ISODate("2018-08-27T04:45:47.086Z"),
"pingMs" : NumberLong(0),
"lastHeartbeatMessage" : "",
"syncingTo" : "",
"syncSourceHost" : "",
"syncSourceId" : -1,
"infoMessage" : "",
"configVersion" : 1
},
{
"_id" : 2,
"name" : "192.168.100.170:27001",
"health" : 1,
"state" : 7,
"stateStr" : "ARBITER", #仲裁节点
"uptime" : 10,
"lastHeartbeat" : ISODate("2018-08-27T04:45:49.984Z"),
"lastHeartbeatRecv" : ISODate("2018-08-27T04:45:46.960Z"),
"pingMs" : NumberLong(0),
"lastHeartbeatMessage" : "",
"syncingTo" : "",
"syncSourceHost" : "",
"syncSourceId" : -1,
"infoMessage" : "",
"configVersion" : 1
}
],
"ok" : 1
}
shard1:SECONDARY> #多按几次Enter键
shard1:PRIMARY> #自动变为primary，再次rs.status()就能看到
针对shard2，我使用B机器登录操作。
创建并初始化副本集shard2：
# mongo --host 192.168.100.160 --port 27002
> use admin
switched to db admin
> config={_id:"shard2",members:[{_id:0,host:"192.168.100.150:27002",arbiterOnly:true},{_id:1,host:"192.168.100.160:27002"},{_id:2,host:"192.168.100.170:27002"}]}
{
"_id" : "shard2",
"members" : [
{
"_id" : 0,
"host" : "192.168.100.150:27002",
"arbiterOnly" : true
},
{
"_id" : 1,
"host" : "192.168.100.160:27002"
},
{
"_id" : 2,
"host" : "192.168.100.170:27002"
}
]
}
> rs.initiate(config)
{ "ok" : 1 }
shard2:OTHER> rs.status()
{
"set" : "shard2",
"date" : ISODate("2018-08-27T12:28:23.263Z"),
"myState" : 2,
"term" : NumberLong(0),
"syncingTo" : "",
"syncSourceHost" : "",
"syncSourceId" : -1,
"heartbeatIntervalMillis" : NumberLong(2000),
"optimes" : {
"lastCommittedOpTime" : {
"ts" : Timestamp(0, 0),
"t" : NumberLong(-1)
},
"appliedOpTime" : {
"ts" : Timestamp(1535372897, 1),
"t" : NumberLong(-1)
},
"durableOpTime" : {
"ts" : Timestamp(1535372897, 1),
"t" : NumberLong(-1)
}
},
"members" : [
{
"_id" : 0,
"name" : "192.168.100.150:27002",
"health" : 1,
"state" : 7,
"stateStr" : "ARBITER",
"uptime" : 6,
"lastHeartbeat" : ISODate("2018-08-27T12:28:22.126Z"),
"lastHeartbeatRecv" : ISODate("2018-08-27T12:28:19.097Z"),
"pingMs" : NumberLong(0),
"lastHeartbeatMessage" : "",
"syncingTo" : "",
"syncSourceHost" : "",
"syncSourceId" : -1,
"infoMessage" : "",
"configVersion" : 1
},
{
"_id" : 1,
"name" : "192.168.100.160:27002",
"health" : 1,
"state" : 2,
"stateStr" : "SECONDARY",
"uptime" : 987,
"optime" : {
"ts" : Timestamp(1535372897, 1),
"t" : NumberLong(-1)
},
"optimeDate" : ISODate("2018-08-27T12:28:17Z"),
"syncingTo" : "",
"syncSourceHost" : "",
"syncSourceId" : -1,
"infoMessage" : "could not find member to sync from",
"configVersion" : 1,
"self" : true,
"lastHeartbeatMessage" : ""
},
{
"_id" : 2,
"name" : "192.168.100.170:27002",
"health" : 1,
"state" : 2,
"stateStr" : "SECONDARY",
"uptime" : 6,
"optime" : {
"ts" : Timestamp(1535372897, 1),
"t" : NumberLong(-1)
},
"optimeDurable" : {
"ts" : Timestamp(1535372897, 1),
"t" : NumberLong(-1)
},
"optimeDate" : ISODate("2018-08-27T12:28:17Z"),
"optimeDurableDate" : ISODate("2018-08-27T12:28:17Z"),
"lastHeartbeat" : ISODate("2018-08-27T12:28:22.126Z"),
"lastHeartbeatRecv" : ISODate("2018-08-27T12:28:19.236Z"),
"pingMs" : NumberLong(0),
"lastHeartbeatMessage" : "",
"syncingTo" : "",
"syncSourceHost" : "",
"syncSourceId" : -1,
"infoMessage" : "",
"configVersion" : 1
}
],
"ok" : 1
}
shard2:SECONDARY> #多按几次Enter键
shard2:PRIMARY> #自动变为primary，再次rs.status()就能看到
针对shard3，我使用C机器登录操作。
创建并初始化副本集shard3：
# mongo --host 192.168.100.170 --port 27003
> use admin
switched to db admin
> config={_id:"shard3",members:[{_id:0,host:"192.168.100.150:27003"},{_id:1,host:"192.168.100.160:27003",arbiterOnly:true},{_id:2,host:"192.168.100.170:27003"}]}
{
"_id" : "shard3",
"members" : [
{
"_id" : 0,
"host" : "192.168.100.150:27003"
},
{
"_id" : 1,
"host" : "192.168.100.160:27003",
"arbiterOnly" : true
},
{
"_id" : 2,
"host" : "192.168.100.170:27003"
}
]
}
> rs.initiate(config)
{ "ok" : 1 }
shard3:OTHER> rs.status()
{
"set" : "shard3",
"date" : ISODate("2018-08-27T12:32:53.016Z"),
"myState" : 2,
"term" : NumberLong(0),
"syncingTo" : "",
"syncSourceHost" : "",
"syncSourceId" : -1,
"heartbeatIntervalMillis" : NumberLong(2000),
"optimes" : {
"lastCommittedOpTime" : {
"ts" : Timestamp(0, 0),
"t" : NumberLong(-1)
},
"appliedOpTime" : {
"ts" : Timestamp(1535373164, 1),
"t" : NumberLong(-1)
},
"durableOpTime" : {
"ts" : Timestamp(1535373164, 1),
"t" : NumberLong(-1)
}
},
"members" : [
{
"_id" : 0,
"name" : "192.168.100.150:27003",
"health" : 1,
"state" : 2,
"stateStr" : "SECONDARY",
"uptime" : 8,
"optime" : {
"ts" : Timestamp(1535373164, 1),
"t" : NumberLong(-1)
},
"optimeDurable" : {
"ts" : Timestamp(1535373164, 1),
"t" : NumberLong(-1)
},
"optimeDate" : ISODate("2018-08-27T12:32:44Z"),
"optimeDurableDate" : ISODate("2018-08-27T12:32:44Z"),
"lastHeartbeat" : ISODate("2018-08-27T12:32:49.921Z"),
"lastHeartbeatRecv" : ISODate("2018-08-27T12:32:48.571Z"),
"pingMs" : NumberLong(1),
"lastHeartbeatMessage" : "",
"syncingTo" : "",
"syncSourceHost" : "",
"syncSourceId" : -1,
"infoMessage" : "",
"configVersion" : 1
},
{
"_id" : 1,
"name" : "192.168.100.160:27003",
"health" : 1,
"state" : 7,
"stateStr" : "ARBITER",
"uptime" : 8,
"lastHeartbeat" : ISODate("2018-08-27T12:32:49.921Z"),
"lastHeartbeatRecv" : ISODate("2018-08-27T12:32:52.646Z"),
"pingMs" : NumberLong(1),
"lastHeartbeatMessage" : "",
"syncingTo" : "",
"syncSourceHost" : "",
"syncSourceId" : -1,
"infoMessage" : "",
"configVersion" : 1
},
{
"_id" : 2,
"name" : "192.168.100.170:27003",
"health" : 1,
"state" : 2,
"stateStr" : "SECONDARY",
"uptime" : 1067,
"optime" : {
"ts" : Timestamp(1535373164, 1),
"t" : NumberLong(-1)
},
"optimeDate" : ISODate("2018-08-27T12:32:44Z"),
"syncingTo" : "",
"syncSourceHost" : "",
"syncSourceId" : -1,
"infoMessage" : "could not find member to sync from",
"configVersion" : 1,
"self" : true,
"lastHeartbeatMessage" : ""
}
],
"ok" : 1
}
shard3:SECONDARY> #多按几次Enter键
shard3:PRIMARY> #自动变为primary，再次rs.status()就能看到
至此，shard配置完毕。
mongos配置
为什么要将mongos放在最后配置，是因为mongos要想启动起来，它必须要知道config server和shard是谁。
在A机器上进行操作
添加配置文件：
# vim /etc/mongod/mongos.conf
pidfilepath = /var/run/mongodb/mongospid
logpath = /data/mongodb/mongos/log/mongos.log
logappend = true
bind_ip = 192.168.100.150
port = 20000
fork = true
configdb = configs/192.168.100.150:21000,192.168.100.160:21000,192.168.100.170:21000
maxConns=20000
启动服务：
# mongos -f /etc/mongod/mongos.conf #注意，之前是mongod，这里是mongos
about to fork child process, waiting until server is ready for connections.
forked process: 1562
child process started successfully, parent exiting
# netstat -lntp |grep mongos
tcp 0 0 192.168.100.150:20000 0.0.0.0:* LISTEN 1562/mongos
添加配置文件：
# vim /etc/mongod/mongos.conf
pidfilepath = /var/run/mongodb/mongospid
logpath = /data/mongodb/mongos/log/mongos.log
logappend = true
bind_ip = 192.168.100.160
port = 20000
fork = true
configdb = configs/192.168.100.150:21000,192.168.100.160:21000,192.168.100.170:21000
maxConns=20000
启动服务：
# mongos -f /etc/mongod/mongos.conf
about to fork child process, waiting until server is ready for connections.
forked process: 1550
child process started successfully, parent exiting
# netstat -lntp |grep mongos
tcp 0 0 192.168.100.160:20000 0.0.0.0:* LISTEN 1550/mongos
在C机器上进行操作
添加配置文件：
# vim /etc/mongod/mongos.conf
pidfilepath = /var/run/mongodb/mongospid
logpath = /data/mongodb/mongos/log/mongos.log
logappend = true
bind_ip = 192.168.100.170
port = 20000
fork = true
configdb = configs/192.168.100.150:21000,192.168.100.160:21000,192.168.100.170:21000
maxConns=20000
启动服务：
# mongos -f /etc/mongod/mongos.conf
about to fork child process, waiting until server is ready for connections.
forked process: 1559
child process started successfully, parent exiting
# netstat -lntp |grep mongos
tcp 0 0 192.168.100.170:20000 0.0.0.0:* LISTEN 1559/mongos
至此，mongos配置完毕。
启用分片
现在就要启用分片，把所有分片和mongos（路由器）串联起来。任选一台机器操作，这里我使用A机器进行操作。
登录mongos启用分片：
# mongo --host 192.168.100.150 --port 20000 #登录mongos
MongoDB shell version v3.4.16
connecting to: mongodb://192.168.100.150:20000/
MongoDB server version: 3.4.16
Server has startup warnings:
2018-08-27T08:55:48.279-0400 I CONTROL [main]
2018-08-27T08:55:48.279-0400 I CONTROL [main] ** WARNING: Access control is not enabled for the database.
2018-08-27T08:55:48.279-0400 I CONTROL [main] ** Read and write access to data and configuration is unrestricted.
2018-08-27T08:55:48.279-0400 I CONTROL [main] ** WARNING: You are running this process as the root user, which is not recommended.
2018-08-27T08:55:48.279-0400 I CONTROL [main]
#把shard1分片和mongos串联起来
mongos> sh.addShard("shard1/192.168.100.150:27001,192.168.100.160:27001,192.168.100.170:27001")
{ "shardAdded" : "shard1", "ok" : 1 }
#把shard2分片和mongos串联起来
mongos> sh.addShard("shard2/192.168.100.150:27002,192.168.100.160:27002,192.168.100.170:27002")
{ "shardAdded" : "shard2", "ok" : 1 }
#把shard3分片和mongos串联起来
mongos> sh.addShard("shard3/192.168.100.150:27003,192.168.100.160:27003,192.168.100.170:27003")
{ "shardAdded" : "shard3", "ok" : 1 }
mongos> sh.status() #查看分片状态
--- Sharding Status ---
sharding version: {
"_id" : 1,
"minCompatibleVersion" : 5,
"currentVersion" : 6,
"clusterId" : ObjectId("5b83e28d28d74224a9920642")
}
shards:
{ "_id" : "shard1", "host" : "shard1/192.168.100.150:27001,192.168.100.160:27001", "state" : 1 }
{ "_id" : "shard2", "host" : "shard2/192.168.100.160:27002,192.168.100.170:27002", "state" : 1 }
{ "_id" : "shard3", "host" : "shard3/192.168.100.150:27003,192.168.100.170:27003", "state" : 1 }
active mongoses:
"3.4.16" : 1
autosplit:
Currently enabled: yes
balancer:
Currently enabled: yes
Currently running: no
NaN
Failed balancer rounds in last 5 attempts: 0
Migration Results for the last 24 hours:
No recent migrations
databases:
分片启用完成。
分片测试
现在进行分片测试，任选一台机器操作，这里我选择A机器进行操作。
登录mongos进行测试：
# mongo --host 192.168.100.150 --port 20000
mongos> use admin
switched to db admin
#指定要分片的数据，db.runCommand({enablesharding:"testdb"}) 也可以实现
mongos> sh.enableSharding("testdb")
{ "ok" : 1 }
#指定数据库里需要分片的集合和片键，db.runCommand({shardcollection:"testdb.table1",key:{id:1}}) 也可以实现
mongos> sh.shardCollection("testdb.table1",{"id":1})
{ "collectionsharded" : "testdb.table1", "ok" : 1 }
mongos> use testdb
switched to db testdb
mongos> for (var i = 1; i <= 10000; i++) db.table1.save({id:1,"test1":"testval1"}) #插入测试数据，10000条
WriteResult({ "nInserted" : 1 })
mongos> show dbs
admin 0.000GB
config 0.001GB
testdb 0.000GB
mongos> sh.status()
--- Sharding Status ---
sharding version: {
"_id" : 1,
"minCompatibleVersion" : 5,
"currentVersion" : 6,
"clusterId" : ObjectId("5b83e28d28d74224a9920642")
}
shards:
{ "_id" : "shard1", "host" : "shard1/192.168.100.150:27001,192.168.100.160:27001", "state" : 1 }
{ "_id" : "shard2", "host" : "shard2/192.168.100.160:27002,192.168.100.170:27002", "state" : 1 }
{ "_id" : "shard3", "host" : "shard3/192.168.100.150:27003,192.168.100.170:27003", "state" : 1 }
active mongoses:
"3.4.16" : 1
autosplit:
Currently enabled: yes
balancer:
Currently enabled: yes
Currently running: no
NaN
Failed balancer rounds in last 5 attempts: 0
Migration Results for the last 24 hours:
No recent migrations
databases:
{ "_id" : "testdb", "primary" : "shard2", "partitioned" : true }
testdb.table1 #有刚刚创建的数据
shard key: { "id" : 1 }
unique: false
balancing: true
chunks:
shard2 1 #刚刚创建的testdb.table1在shard2里面
{ "id" : { "$minKey" : 1 } } -->> { "id" : { "$maxKey" : 1 } } on : shard2 Timestamp(1, 0)
再创建一个库：
mongos> sh.enableSharding("db2")
{ "ok" : 1 }
mongos> sh.shardCollection("db2.col2",{"id":1})
{ "collectionsharded" : "db2.col2", "ok" : 1 }
mongos> sh.status()
--- Sharding Status ---
sharding version: {
"_id" : 1,
"minCompatibleVersion" : 5,
"currentVersion" : 6,
"clusterId" : ObjectId("5b83e28d28d74224a9920642")
}
shards:
{ "_id" : "shard1", "host" : "shard1/192.168.100.150:27001,192.168.100.160:27001", "state" : 1 }
{ "_id" : "shard2", "host" : "shard2/192.168.100.160:27002,192.168.100.170:27002", "state" : 1 }
{ "_id" : "shard3", "host" : "shard3/192.168.100.150:27003,192.168.100.170:27003", "state" : 1 }
active mongoses:
"3.4.16" : 1
autosplit:
Currently enabled: yes
balancer:
Currently enabled: yes
Currently running: no
NaN
Failed balancer rounds in last 5 attempts: 0
Migration Results for the last 24 hours:
No recent migrations
databases:
{ "_id" : "testdb", "primary" : "shard2", "partitioned" : true }
testdb.table1
shard key: { "id" : 1 }
unique: false
balancing: true
chunks:
shard2 1
{ "id" : { "$minKey" : 1 } } -->> { "id" : { "$maxKey" : 1 } } on : shard2 Timestamp(1, 0)
{ "_id" : "db2", "primary" : "shard1", "partitioned" : true }
db2.col2 #刚刚创建的db2.col2
shard key: { "id" : 1 }
unique: false
balancing: true
chunks:
shard1 1 #在shard1里面
{ "id" : { "$minKey" : 1 } } -->> { "id" : { "$maxKey" : 1 } } on : shard1 Timestamp(1, 0)
再创建一个库：
mongos> sh.enableSharding("db3")
{ "ok" : 1 }
mongos> sh.shardCollection("db3.col3",{"id":1})
{ "collectionsharded" : "db3.col3", "ok" : 1 }
mongos> sh.status()
--- Sharding Status ---
sharding version: {
"_id" : 1,
"minCompatibleVersion" : 5,
"currentVersion" : 6,
"clusterId" : ObjectId("5b83e28d28d74224a9920642")
}
shards:
{ "_id" : "shard1", "host" : "shard1/192.168.100.150:27001,192.168.100.160:27001", "state" : 1 }
{ "_id" : "shard2", "host" : "shard2/192.168.100.160:27002,192.168.100.170:27002", "state" : 1 }
{ "_id" : "shard3", "host" : "shard3/192.168.100.150:27003,192.168.100.170:27003", "state" : 1 }
active mongoses:
"3.4.16" : 1
autosplit:
Currently enabled: yes
balancer:
Currently enabled: yes
Currently running: no
NaN
Failed balancer rounds in last 5 attempts: 0
Migration Results for the last 24 hours:
No recent migrations
databases:
{ "_id" : "testdb", "primary" : "shard2", "partitioned" : true }
testdb.table1
shard key: { "id" : 1 }
unique: false
balancing: true
chunks:
shard2 1
{ "id" : { "$minKey" : 1 } } -->> { "id" : { "$maxKey" : 1 } } on : shard2 Timestamp(1, 0)
{ "_id" : "db2", "primary" : "shard1", "partitioned" : true }
db2.col2
shard key: { "id" : 1 }
unique: false
balancing: true
chunks:
shard1 1
{ "id" : { "$minKey" : 1 } } -->> { "id" : { "$maxKey" : 1 } } on : shard1 Timestamp(1, 0)
{ "_id" : "db3", "primary" : "shard3", "partitioned" : true }
db3.col3 #刚刚创建的db3.col3
shard key: { "id" : 1 }
unique: false
balancing: true
chunks:
shard3 1 #在shard3上面
{ "id" : { "$minKey" : 1 } } -->> { "id" : { "$maxKey" : 1 } } on : shard3 Timestamp(1, 0)
可以看到数据是在三个分片上均衡存储的。这其实也不够明显，因为数据量不够庞大。当生产环境下数据量很庞大的时候，3个分片上面的数据就会很平均。
MongoDB备份和恢复
任选一台机器操作，下面在A机器上进行操作。
备份指定库：
# mkdir /tmp/mongobak; mongodump --host 192.168.100.150 --port 20000 -d testdb -o /tmp/mongobak
# -d 指定备份的数据库；-o 指定存储的位置，这里如果不先创建存储位置目录，就无法备份
2018-08-27T09:44:58.747-0400 writing testdb.table1 to
2018-08-27T09:44:58.808-0400 done dumping testdb.table1 (10000 documents)
# ls /tmp/mongobak/
testdb
# ls /tmp/mongobak/testdb/
table1.bson table1.metadata.json
# cd !$
cd /tmp/mongobak/testdb/
# du -sh *
528K table1.bson
4.0K table1.metadata.json
# cat table1.metadata.json
{"options":{},"indexes":[{"v":2,"key":{"_id":1},"name":"_id_","ns":"testdb.table1"},{"v":2,"key":{"id":1.0},"name":"id_1","ns":"testdb.table1"}]} #有刚刚创建的testdb.table1，有所记录
备份所有库：
# mongodump --host 192.168.100.150 --port 20000 -o /tmp/mongobak
# 不使用-d 指定库，就会备份所有库；这里存储位置的目录不存在也会自动创建
2018-08-27T09:52:22.762-0400 writing admin.system.version to
2018-08-27T09:52:22.764-0400 done dumping admin.system.version (1 document)
2018-08-27T09:52:22.764-0400 writing testdb.table1 to
2018-08-27T09:52:22.764-0400 writing config.lockpings to
2018-08-27T09:52:22.764-0400 writing config.changelog to
2018-08-27T09:52:22.764-0400 writing config.locks to
2018-08-27T09:52:22.771-0400 done dumping config.lockpings (11 documents)
2018-08-27T09:52:22.771-0400 writing config.chunks to
2018-08-27T09:52:22.776-0400 done dumping config.changelog (9 documents)
2018-08-27T09:52:22.776-0400 writing config.collections to
2018-08-27T09:52:22.778-0400 done dumping config.collections (3 documents)
2018-08-27T09:52:22.778-0400 writing config.databases to
2018-08-27T09:52:22.781-0400 done dumping config.locks (7 documents)
2018-08-27T09:52:22.781-0400 writing config.shards to
2018-08-27T09:52:22.782-0400 done dumping config.shards (3 documents)
2018-08-27T09:52:22.782-0400 writing config.mongos to
2018-08-27T09:52:22.785-0400 done dumping config.mongos (2 documents)
2018-08-27T09:52:22.785-0400 writing config.version to
2018-08-27T09:52:22.786-0400 done dumping config.version (1 document)
2018-08-27T09:52:22.786-0400 writing config.tags to
2018-08-27T09:52:22.789-0400 done dumping config.tags (0 documents)
2018-08-27T09:52:22.789-0400 writing config.migrations to
2018-08-27T09:52:22.790-0400 done dumping config.migrations (0 documents)
2018-08-27T09:52:22.790-0400 writing db2.col2 to
2018-08-27T09:52:22.795-0400 done dumping config.databases (3 documents)
2018-08-27T09:52:22.795-0400 writing db3.col3 to
2018-08-27T09:52:22.797-0400 done dumping config.chunks (3 documents)
2018-08-27T09:52:22.799-0400 done dumping db2.col2 (0 documents)
2018-08-27T09:52:22.800-0400 done dumping db3.col3 (0 documents)
2018-08-27T09:52:22.941-0400 done dumping testdb.table1 (10000 documents)
# cd ..
# ls
admin config db2 db3 testdb #每一个目录代表一个库
备份指定集合：
# mongodump --host 192.168.100.150 --port 20000 -d testdb -c table1 -o /tmp/mongobak1
# -c 指定备份的集合
2018-08-27T09:57:12.795-0400 writing testdb.table1 to
2018-08-27T09:57:12.840-0400 done dumping testdb.table1 (10000 documents)
# ls !$
ls /tmp/mongobak1
testdb
# ls /tmp/mongobak1/testdb/
table1.bson table1.metadata.json
导出集合为json文件：
# mongoexport --host 192.168.100.150 --port 20000 -d testdb -c table1 -o /tmp/table1.json
# mongoexport表示导出，-o 指定存储文件，不存在会自动创建
2018-08-27T10:01:34.462-0400 connected to: 192.168.100.150:20000
2018-08-27T10:01:34.610-0400 exported 10000 records
# vim !$
vim /tmp/table1.json
{"_id":{"$oid":"5b83fb338c1de6b83f6a11ab"},"id":1.0,"test1":"testval1"}
{"_id":{"$oid":"5b83fb338c1de6b83f6a11ac"},"id":1.0,"test1":"testval1"}
{"_id":{"$oid":"5b83fb338c1de6b83f6a11ad"},"id":1.0,"test1":"testval1"}
{"_id":{"$oid":"5b83fb338c1de6b83f6a11ae"},"id":1.0,"test1":"testval1"}
{"_id":{"$oid":"5b83fb338c1de6b83f6a11af"},"id":1.0,"test1":"testval1"}
{"_id":{"$oid":"5b83fb338c1de6b83f6a11b0"},"id":1.0,"test1":"testval1"}
{"_id":{"$oid":"5b83fb338c1de6b83f6a11b1"},"id":1.0,"test1":"testval1"}
{"_id":{"$oid":"5b83fb338c1de6b83f6a11b2"},"id":1.0,"test1":"testval1"}
{"_id":{"$oid":"5b83fb338c1de6b83f6a11b3"},"id":1.0,"test1":"testval1"}
# 这里就是我们之前插入的10000条数据，不是乱码
恢复指定库：
# mongorestore --host 192.168.100.150 --port 20000 -d mydb dir
# -d 后跟要恢复的库，dir表示该库备份时所在的目录
恢复所有库：
# mongorestore --host 192.168.100.150 --port 20000 dir
# dir表示该库备份时所在的目录
恢复集合：
# mongorestore --host 192.168.100.150 --port 20000 -d mydb -c tab1 dir
# -c 后跟要恢复的库的集合，dir表示该集合备份时所在的目录
导入集合：
# mongoimport --host 192.168.100.150 --port 20000 -d testdb -c table1 --file /tmp/table1.json
# mongoexport表示导出，--file指定导入文件
