mongo复制集、分片集（亲测）

1.1 架构思路：

192.168.50.131 192.168.50.131 192.168.50.132

mongos	mongos	mongos
configsvr	configsvr	configsvr
Shard1	Shard1	Shard1
Shard2	Shard2	Shard2
Shard3	Shard3	Shard3

1.2 安装使用虚拟机：

192.168.50.130，192.168.50.131，192.168.50.132

1.3 软件包：

mongodb-linux-x86_64-rhel62-3.4.0.tar.gz

1.4 创建软连接(三台机器)

ln -s /usr/local/ mongodb-linux-x86_64-rhel62-3.4.0/bin/mongo /usr/bin/mongo

ln -s /usr/local/ mongodb-linux-x86_64-rhel62-3.4.0/bin/mongos /usr/bin/mongos

ln -s /usr/local/ mongodb-linux-x86_64-rhel62-3.4.0/bin/mongod /usr/bin/mongod

1.5 创建数据和日志目录(三台机器)

mkdir -p /data/mongodb && cd /data/mongodb/ && mkdir -p conf/data conf/log mongos/log shard{1..3}/data shard{1..3}/log

1.6 创建configsvr(三台机器)

mongod --configsvr --replSet configset --dbpath /data/mongodb/conf/data --port 27100 --logpath /data/mongodb/conf/confdb.log --bind_ip 0.0.0.0 --fork

1.7 将configsvr初始化为复制集

mongo192.168.25.131:27100

config_replset={_id:"configset",members:[{_id:0,host:"192.168.25.130:27100"},{_id:1,host:"192.168.25.131:27100"},{_id:2,host:" 192.168.25.132:27100"}]}

rs.initiate(config_replset)

1.8 配置mongos(三台机器) 路由

mongos

--configdb configset/192.168.25.130:27100,192.168.25.131:27100,192.168.25.132:27100 --port 27200 --logpath /data/mongodb/mongos/mongos.log --fork

1.9 配置shard（三台机器）分片

mongod --shardsvr --replSet shard1 --port 27001 --bind_ip 0.0.0.0 --dbpath /data/mongodb/shard1/data --logpath /data/mongodb/shard1/log/shard1.log --directoryperdb --fork

mongod --shardsvr --replSet shard2 --port 27002 --bind_ip 0.0.0.0 --dbpath /data/mongodb/shard2/data --logpath /data/mongodb/shard2/log/shard2.log --directoryperdb --fork

mongod --shardsvr --replSet shard3 --port 27003 --bind_ip 0.0.0.0 --dbpath /data/mongodb/shard3/data --logpath /data/mongodb/shard3/log/shard3.log --directoryperdb --fork

1.10 初始化shard复制集

1.10.1 第一台机器（192.168.25.130没有显示只当主节点，会选择登陆的机器为主节点）

mongo --port 27001

use admin

rs.initiate({

_id: 'shard1',

members: [

{_id: 84, host: '192.168.25.130:27001'},

{_id: 89, host: '192.168.25.131:27001'},

{_id: 90, host: '192.168.25.132:27001'}

]

});

1.10.2 第二台机器(192.168.25.131)

mongo --port 27002

use admin

rs.initiate({

_id: 'shard2',

members: [

{_id: 84, host: '192.168.25.130:27002'},

{_id: 89, host: '192.168.25.131:27002'},

{_id: 90, host: '192.168.25.132:27002'}

]

});

如果要设置仲裁节点的话：

config = {_id: 'shard3', members: [{_id: 0, host: '192.168.10.202:27022'},{_id:1, host: '192.168.10.204:27022'},{_id: 2, host: '192.168.10.203:30001', arbiterOnly:true}]}
rs.initiate(config);

1.10.3 第三台机器(192.168.25.132)

mongo --port 27003

use admin

rs.initiate({

_id: 'shard3',

members: [

{_id: 84,
host: '192.168.25.130:27003'},

{_id: 89,
host: '192.168.25.131:27003'},

{_id: 90,
host: '192.168.25.132:27003'}

]

});

1.11 在mongos中注册shard

Mongo –port 27200

use admin

db.runCommand({addShard: 'shard1/192.168.25.130:27001,192.168.25.131:27001,192.168.25.132:27001'});

db.runCommand({addShard:
'shard2/192.168.25.130:27002,192.168.25.131:27002,192.168.25.132:27002'});

db.runCommand({addShard:
'shard3/192.168.25.130:27003,192.168.25.131:27003,192.168.25.132:27003'});

查看shard

use admin

db.runCommand({listshards: 1});

{

"shards" : [

{

"_id" : "shard1",

"host" :
"shard1/10.199.144.84:27001,10.199.144.89:27001"

{

"_id" : "shard2",

"host" :
"shard2/10.199.144.89:27002,10.199.144.90:27002"

{

"_id" : "shard3",

"host" :
"shard3/10.199.144.90:27003,10.199.144.84:27003"

}

"ok" :
1

}

1.12 插入数据测试

mongo --port 27200

use admin

db.runCommand({enablesharding: 'dbtest'});

db.runCommand({shardcollection: 'dbtest.coll1', key: {id:
1}});

use dbtest

db.coll1.stats()

结果是数据分配不平均,因为id没hash

此处对sano1y库的testtb使用hash策略：

mongos> use
admin
switched to db admin
mongos> db.runCommand({"enablesharding":"sano1y"})
{ "ok" : 1
}
mongos> db.runCommand({"shardcollection":"sano1y.testtb","key":{"_id":"hashed"}})
{ "collectionsharded" : "sano1y.testtb", "ok" : 1
}

目前为止，已经对sano1y库的testtb集合进行了shard配置。

测试：

mongos> use
sano1y
switched to db sano1y
mongos> for(i=0;i<100000;i++) {db.testtb.insert({"id":i,"name":"test_hash"});}

稍等片刻，等待插入完毕：

WriteResult({ "nInserted" : 1
})

进入shard1(187)的PRIMARY实例检查

shard1:PRIMARY> use sano1y
switched to db sano1y
shard1:PRIMARY> db.testtb.find().count()
49983
shard1:PRIMARY> db.testtb.find()
{ "_id" : ObjectId("5837ef1dea1fd54fb38d845c"), "id" : 0, "name" : "test_hash" }
{ "_id" : ObjectId("5837ef1dea1fd54fb38d845d"), "id" : 1, "name" : "test_hash" }
{ "_id" : ObjectId("5837ef1dea1fd54fb38d845e"), "id" : 2, "name" : "test_hash" }
{ "_id" : ObjectId("5837ef1dea1fd54fb38d8460"), "id" : 4, "name" : "test_hash" }
{ "_id" : ObjectId("5837ef1dea1fd54fb38d8461"), "id" : 5, "name" : "test_hash" }
{ "_id" : ObjectId("5837ef1dea1fd54fb38d8465"), "id" : 9, "name" : "test_hash" }
{ "_id" : ObjectId("5837ef1dea1fd54fb38d8468"), "id" : 12, "name" : "test_hash" }
{ "_id" : ObjectId("5837ef1dea1fd54fb38d846f"), "id" : 19, "name" : "test_hash" }
{ "_id" : ObjectId("5837ef1dea1fd54fb38d8471"), "id" : 21, "name" : "test_hash" }
{ "_id" : ObjectId("5837ef1dea1fd54fb38d8475"), "id" : 25, "name" : "test_hash" }
{ "_id" : ObjectId("5837ef1dea1fd54fb38d8476"), "id" : 26, "name" : "test_hash" }
{ "_id" : ObjectId("5837ef1dea1fd54fb38d8479"), "id" : 29, "name" : "test_hash" }
{ "_id" : ObjectId("5837ef1dea1fd54fb38d847d"), "id" : 33, "name" : "test_hash" }
{ "_id" : ObjectId("5837ef1dea1fd54fb38d847e"), "id" : 34, "name" : "test_hash" }
{ "_id" : ObjectId("5837ef1dea1fd54fb38d8480"), "id" : 36, "name" : "test_hash" }
{ "_id" : ObjectId("5837ef1dea1fd54fb38d8481"), "id" : 37, "name" : "test_hash" }
{ "_id" : ObjectId("5837ef1dea1fd54fb38d8483"), "id" : 39, "name" : "test_hash" }
{ "_id" : ObjectId("5837ef1dea1fd54fb38d8486"), "id" : 42, "name" : "test_hash" }
{ "_id" : ObjectId("5837ef1dea1fd54fb38d848b"), "id" : 47, "name" : "test_hash" }
{ "_id" : ObjectId("5837ef1dea1fd54fb38d848d"), "id" : 49, "name" : "test_hash" }

另外如果到shard2可以看到shard1这些不连续的id。
可发现shard1和2中的document数量，还是比较均匀的。

shard1: 33320
shard2: 33421

Shard3: 33259

可以看出，count数量基本还是保持平衡的，又很小的落差