部署脚本
#!/bin/bash
#复制集配置
IP='10.0.0.12' #主机ip
NA='rs3' #复制集名称
if [ "$1" = "reset" ]
then
kill -2 `ps -ef|grep -v grep |grep logpath|awk '{print $2}'`
sleep 2
rm -rf /mongodb/m{17,18,19,log}/*
exit
fi
if [ "$1" = "install" ]
then
mkdir -p /mongodb/m{17,18,19,log}/
mongod --dbpath /mongodb/m17 --logpath /mongodb/mlog/m17.log --logappend --fork --port 27017 --replSet ${NA} --smallfiles
mongod --dbpath /mongodb/m18 --logpath /mongodb/mlog/m18.log --logappend --fork --port 27018 --replSet ${NA} --smallfiles
mongod --dbpath /mongodb/m19 --logpath /mongodb/mlog/m19.log --logappend --fork --port 27019 --replSet ${NA} --smallfiles
exit
fi
if [ "$1" = "repl" ]
then
mongo --port 27017 <<EOF
use admin;
var rsconf = {
_id:'${NA}',
members:[
{_id:0,host:'${IP}:27017'},
{_id:1,host:'${IP}:27018'},
{_id:2,host:'${IP}:27019'},
]
};
rs.initiate(rsconf);
<<
EOF
fi
部署情况
提前部署好两个复制集,部署脚本如上
现在部署情况如下
rs3:
10.0.0.12 27017
10.0.0.12 27018
10.0.0.12 27019
rs4:
10.0.0.13 27017
10.0.0.13 27018
10.0.0.13 27019
configsvr :
10.0.0.11 27020
mongos:
10.0.0.11 30000
部署configsvr和mongos
mongod --dbpath /mongodb/m20 --logpath /mongodb/mlog/m20.log --logappend --fork --port 27020 --configsvr
mongos --logpath /mongodb/mlog/m30.log --logappend --fork --port 30000 --configdb 10.0.0.11:27020
[mongod@mcw01 ~]$ mongod --dbpath /mongodb/m20 --logpath /mongodb/mlog/m20.log --logappend --fork --port 27020 --configsvr
about to fork child process, waiting until server is ready for connections.
forked process: 20138
child process started successfully, parent exiting
[mongod@mcw01 ~]$ mongos --logpath /mongodb/mlog/m30.log --logappend --fork --port 30000 --configdb 10.0.0.11:27020
2022-03-05T15:18:39.286+0800 W SHARDING [main] Running a sharded cluster with fewer than 3 config servers should only be done for testing purposes and is not recommended for production.
about to fork child process, waiting until server is ready for connections.
forked process: 20158
child process started successfully, parent exiting
[mongod@mcw01 ~]$
添加分片
复制集和分片结合的。配置上没太多区别。就是在添加分片的时候,一个加上复制集名称,一个不加。一个复制集就是一个整体,当成分片的一个单元。复制集里的每个副本都是一个备份,其中写入的时候写到主副本就行了吧,复制集会实现其它备副本的复制。复制集中的副本是不是也可以设置在不同的主机上呢,这里设置的是同一台主机上,备份的安全性上考虑,肯定备份不要在同一个主机才安全。
sh.addShard('rs3/10.0.0.12:27017');
添加分片只需要添加复制集的主17就可以了,然后查看分片,可以看到主副本,以及其它副本的。
[mongod@mcw01 ~]$ mongo 10.0.0.11:30000
MongoDB shell version: 3.2.8
connecting to: 10.0.0.11:30000/test
mongos> sh.addShard('rs3/10.0.0.12:27017');
{ "shardAdded" : "rs3", "ok" : 1 }
mongos> sh.addShard('rs4/10.0.0.13:27017');
{ "shardAdded" : "rs4", "ok" : 1 }
mongos> sh.status();
--- Sharding Status ---
sharding version: {
"_id" : 1,
"minCompatibleVersion" : 5,
"currentVersion" : 6,
"clusterId" : ObjectId("62230ecfe5cc911b886d1023")
}
shards: #写数据,分片上的数据是独有的,而同一个副本集不同副本中的数据是相同的,是个复制的数据。当数据分配存储到rs3分片时,18,19两个副本会从17主上复制一份过来作为备份用
{ "_id" : "rs3", "host" : "rs3/10.0.0.12:27017,10.0.0.12:27018,10.0.0.12:27019" }
{ "_id" : "rs4", "host" : "rs4/10.0.0.13:27017,10.0.0.13:27018,10.0.0.13:27019" }
active mongoses:
"3.2.8" : 1
balancer:
Currently enabled: yes
Currently running: no
Failed balancer rounds in last 5 attempts: 0
Migration Results for the last 24 hours:
No recent migrations
databases:
mongos>
设置分片库表,分片规则,插入数据,手动预分片
给shop开启分片,给shop下的user分片,根据userid分片。当userid是1000的时候切割一下,2000的时候切割一下......
mongos> show dbs;
config 0.000GB
mongos> sh.enableSharding('shop')
{ "ok" : 1 }
mongos> sh.shardCollection('shop.user',{userid:1})
{ "collectionsharded" : "shop.user", "ok" : 1 }
mongos> sh.splitAt('shop.user',{userid:10000})
{ "ok" : 1 }
mongos> sh.splitAt('shop.user',{userid:1000})
{ "ok" : 1 }
mongos> sh.splitAt('shop.user',{userid:2000})
{ "ok" : 1 }
mongos> sh.splitAt('shop.user',{userid:3000})
{ "ok" : 1 }
mongos> sh.splitAt('shop.user',{userid:4000})
{ "ok" : 1 }
mongos>
查看已经是预分片了,并且res3复制集有,rs4复制集也有分片,各有三个,还是均衡的
mongos> sh.status();
--- Sharding Status ---
sharding version: {
"_id" : 1,
"minCompatibleVersion" : 5,
"currentVersion" : 6,
"clusterId" : ObjectId("62230ecfe5cc911b886d1023")
}
shards:
{ "_id" : "rs3", "host" : "rs3/10.0.0.12:27017,10.0.0.12:27018,10.0.0.12:27019" }
{ "_id" : "rs4", "host" : "rs4/10.0.0.13:27017,10.0.0.13:27018,10.0.0.13:27019" }
active mongoses:
"3.2.8" : 1
balancer:
Currently enabled: yes
Currently running: no
Failed balancer rounds in last 5 attempts: 0
Migration Results for the last 24 hours:
3 : Success
databases:
{ "_id" : "shop", "primary" : "rs4", "partitioned" : true }
shop.user
shard key: { "userid" : 1 }
unique: false
balancing: true
chunks:
rs3 3
rs4 3
{ "userid" : { "$minKey" : 1 } } -->> { "userid" : 1000 } on : rs4 Timestamp(3, 0)
{ "userid" : 1000 } -->> { "userid" : 2000 } on : rs4 Timestamp(4, 0)
{ "userid" : 2000 } -->> { "userid" : 3000 } on : rs3 Timestamp(4, 1)
{ "userid" : 3000 } -->> { "userid" : 4000 } on : rs3 Timestamp(3, 4)
{ "userid" : 4000 } -->> { "userid" : 10000 } on : rs3 Timestamp(3, 5)
{ "userid" : 10000 } -->> { "userid" : { "$maxKey" : 1 } } on : rs4 Timestamp(2, 1)
mongos>
我们在mongos上进入shop库,插入数据
mongos> use shop
switched to db shop
mongos> for(var i=1;i<=4000;i++){db.user.insert({userid:i,intro:'i am mcw, from china'})}
WriteResult({ "nInserted" : 1 })
mongos>
查看插入数据的效果
首先看下rs3上的主副本:有两千到四千的数据
[mongod@mcw02 ~]$ mongo --port 27017
rs3:PRIMARY> show dbs;
local 0.000GB
shop 0.000GB
rs3:PRIMARY> use shop;
switched to db shop
rs3:PRIMARY> show tables;
user
rs3:PRIMARY> db.user.find().count();
2001
rs3:PRIMARY> db.user.find().skip(1999);
{ "_id" : ObjectId("622314a446d8d9b89fc9e710"), "userid" : 3999, "intro" : "i am mcw, from china" }
{ "_id" : ObjectId("622314a446d8d9b89fc9e711"), "userid" : 4000, "intro" : "i am mcw, from china" }
rs3:PRIMARY> db.user.find().limit(3);
{ "_id" : ObjectId("6223149d46d8d9b89fc9df41"), "userid" : 2000, "intro" : "i am mcw, from china" }
{ "_id" : ObjectId("6223149d46d8d9b89fc9df42"), "userid" : 2001, "intro" : "i am mcw, from china" }
{ "_id" : ObjectId("6223149d46d8d9b89fc9df43"), "userid" : 2002, "intro" : "i am mcw, from china" }
rs3:PRIMARY>
看下rs3上的备副本:数据跟主副本时一致的
[mongod@mcw02 ~]$ mongo --port 27018
rs3:SECONDARY> use shop
switched to db shop
rs3:SECONDARY> db.user.find().count();
2001
rs3:SECONDARY> db.user.find().skip(1999);
{ "_id" : ObjectId("622314a446d8d9b89fc9e710"), "userid" : 3999, "intro" : "i am mcw, from china" }
{ "_id" : ObjectId("622314a446d8d9b89fc9e711"), "userid" : 4000, "intro" : "i am mcw, from china" }
rs3:SECONDARY> db.user.find().limit(3);
{ "_id" : ObjectId("6223149d46d8d9b89fc9df41"), "userid" : 2000, "intro" : "i am mcw, from china" }
{ "_id" : ObjectId("6223149d46d8d9b89fc9df42"), "userid" : 2001, "intro" : "i am mcw, from china" }
{ "_id" : ObjectId("6223149d46d8d9b89fc9df43"), "userid" : 2002, "intro" : "i am mcw, from china" }
rs3:SECONDARY>
查看rs4上主副本:发现数据跟rs.status()是一样的。从1-1999都在rs4副本上
[mongod@mcw03 ~]$ mongo --port 27017
rs4:PRIMARY> use shop
switched to db shop
rs4:PRIMARY> db.user.find().count();
1999
rs4:PRIMARY> db.user.find().skip(1997);
{ "_id" : ObjectId("6223149d46d8d9b89fc9df3f"), "userid" : 1998, "intro" : "i am mcw, from china" }
{ "_id" : ObjectId("6223149d46d8d9b89fc9df40"), "userid" : 1999, "intro" : "i am mcw, from china" }
rs4:PRIMARY> db.user.find().limit(3);
{ "_id" : ObjectId("6223149446d8d9b89fc9d772"), "userid" : 1, "intro" : "i am mcw, from china" }
{ "_id" : ObjectId("6223149446d8d9b89fc9d773"), "userid" : 2, "intro" : "i am mcw, from china" }
{ "_id" : ObjectId("6223149446d8d9b89fc9d774"), "userid" : 3, "intro" : "i am mcw, from china" }
rs4:PRIMARY>