mongodb?linux下集群搭建过程(mongodb安装配置linux)难以置信

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mongodb的集群结构如上图

网上有个mongo3.0的集群例子:

https://www.jb51.net/article/191388.htm

router提供入口,mongo客户端通过router连入集群(本例只配置一个route集群)

Config Servers辅助记录数据分片(一个集群)

Shard为数据分片集群(本例中配置两个,用于验证分片),

本例中,为每个集群(shard config)三个mongo实例

config与shard为同一个类型的进程mongod

route则为mongos进程

下载mongo二进制压缩包

https://fastdl.mongodb.org/linux/mongodb-linux-x86_64-rhel70-5.0.6.tgz

解压可以看到

用openssl生成一个key,用于mongo集群内部数据通迅

openssl rand -base64 123 > keyfile

mongod配置为件(config与shard通用)

mongo_node.conf:

storage:
engine: wiredTiger
directoryPerDB: true
journal:
enabled: true

systemLog:
destination: file
logAppend: true
operationProfiling:
slowOpThresholdMs: 10000
replication:
oplogSizeMB: 10240
processManagement:
fork: true
security:
authorization: “disabled”

mongos的配置文件(即图中的route)

mongos.conf:

systemLog:
destination: file
logAppend: true

processManagement:
fork: true

启动config集群(3个mongod进程)

WORK_DIR=/home/?/go/mongodb/mongo_test

KEYFILE=$WORK_DIR/key/keyfile
cat $KEYFILE
CONFFILE=$WORK_DIR/conf/mongo_node.conf
cat $CONFFILE
MONGOD=mongod
echo $MONGOD
$MONGOD –port 26001 –bind_ip_all –configsvr –replSet configReplSet –keyFile $KEYFILE –dbpath $WORK_DIR/config_cluster/conf_n1/data –pidfilepath $WORK_DIR/config_cluster/conf_n1/db.pid –logpath $WORK_DIR/config_cluster/conf_n1/db.log –config $CONFFILE
$MONGOD –port 26002 –bind_ip_all –configsvr –replSet configReplSet –keyFile $KEYFILE –dbpath $WORK_DIR/config_cluster/conf_n2/data –pidfilepath $WORK_DIR/config_cluster/conf_n2/db.pid –logpath $WORK_DIR/config_cluster/conf_n2/db.log –config $CONFFILE
$MONGOD –port 26003 –bind_ip_all –configsvr –replSet configReplSet –keyFile $KEYFILE –dbpath $WORK_DIR/config_cluster/conf_n3/data –pidfilepath $WORK_DIR/config_cluster/conf_n3/db.pid –logpath $WORK_DIR/config_cluster/conf_n3/db.log –config $CONFFILE

启动成功后

用命令mongo –port 26001 –host 127.0.0.1

如下图,进入mongo的shell

在shell中输入如下js代码 设置config集群

cfg={
_id:”configReplSet”,
configsvr: true,
members:[
{_id:0, host:’127.0.0.1:26001′},
{_id:1, host:’127.0.0.1:26002′},
{_id:2, host:’127.0.0.1:26003′}
]};
rs.initiate(cfg);

三个config mongo进程会自动选出一个primary,过一会再进入shell就会发现 shell提示变成primary

顺便给config添加一个admin用户,(一个集群只要在primary进程添加一次,会自动同步给secondary)

use admin
db.createUser({
user:’admin’,pwd:’123456′,
roles:[
{role:’clusterAdmin’,db:’admin’},
{role:’userAdminAnyDatabase’,db:’admin’},
{role:’dbAdminAnyDatabase’,db:’admin’},
{role:’readWriteAnyDatabase’,db:’admin’}
]})

同样之后shard也做同样的添加用户操作,便于后继观察数据

启动shard

WORK_DIR=/home/?/go/mongodb/mongo_test

KEYFILE=$WORK_DIR/key/keyfile
cat $KEYFILE
CONFFILE=$WORK_DIR/conf/mongo_node.conf
cat $CONFFILE
MONGOD=mongod
echo $MONGOD
echo “start shard1 replicaset”
$MONGOD –port 27001 –bind_ip_all –shardsvr –replSet shard1 –keyFile $KEYFILE –dbpath $WORK_DIR/shard1/sh1_n1/data –pidfilepath $WORK_DIR/shard1/sh1_n1/db.pid –logpath $WORK_DIR/shard1/sh1_n1/db.log –config $CONFFILE
$MONGOD –port 27002 –bind_ip_all –shardsvr –replSet shard1 –keyFile $KEYFILE –dbpath $WORK_DIR/shard1/sh1_n2/data –pidfilepath $WORK_DIR/shard1/sh1_n2/db.pid –logpath $WORK_DIR/shard1/sh1_n2/db.log –config $CONFFILE
$MONGOD –port 27003 –bind_ip_all –shardsvr –replSet shard1 –keyFile $KEYFILE –dbpath $WORK_DIR/shard1/sh1_n3/data –pidfilepath $WORK_DIR/shard1/sh1_n3/db.pid –logpath $WORK_DIR/shard1/sh1_n3/db.log –config $CONFFILE

用mongo –port 27001 –host 127.0.0.1进入mongo shell

cfg={
_id:”shard1″,
members:[
{_id:0, host:’127.0.0.1:27001′},
{_id:1, host:’127.0.0.1:27002′},
{_id:2, host:’127.0.0.1:27003′}
]};

rs.initiate(cfg);

同样用之前的添加用户的js

并用同样的方法启动shard2集群,用于实验数据分片

对应的目录与分片名改成shard2

启动route

WORK_DIR=/home/?/go/mongodb/mongo_test

KEYFILE=$WORK_DIR/key/keyfile
cat $KEYFILE
CONFFILE=$WORK_DIR/conf/mongos.conf
cat $CONFFILE
MONGOS=mongos
echo $MONGOS
echo “start mongos route instances”
$MONGOS –port=25001 –bind_ip_all –configdb configReplSet/127.0.0.1:26001,127.0.0.1:26002,127.0.0.1:26003 –keyFile $KEYFILE –pidfilepath $WORK_DIR/route/r_n1/db.pid –logpath $WORK_DIR/route/r_n1/db.log –config $CONFFILE
$MONGOS –port 25002 –bind_ip_all –configdb configReplSet/127.0.0.1:26001,127.0.0.1:26002,127.0.0.1:26003 –keyFile $KEYFILE –pidfilepath $WORK_DIR/route/r_n2/db.pid –logpath $WORK_DIR/route/r_n2/db.log –config $CONFFILE
$MONGOS –port 25003 –bind_ip_all –configdb configReplSet/127.0.0.1:26001,127.0.0.1:26002,127.0.0.1:26003 –keyFile $KEYFILE –pidfilepath $WORK_DIR/route/r_n3/db.pid –logpath $WORK_DIR/route/r_n3/db.log –config $CONFFILE

路由添加分片

用mongo –port 25001 –host 127.0.0.1 -u admin -p 123456进入shell

或者这样也可 mongo mongodb://admin:123456@127.0.0.1:25001

在mongo shell分别执行以下两行js

sh.addShard(“shard1/127.0.0.1:27001”)
sh.addShard(“shard2/127.0.0.1:27011”)

创建一个mongo database与collection

并设置分片

use test

sh.enableSharding(“test”)
db.createCollection(“test_shard”)
sh.shardCollection(“test.test_shard”, {_id:”hashed”}, false, { numInitialChunks: 4} )

在mongo shell用以下js添加数据,可以修改循环次数避免测试时间过长

var cnt=0;
for(var i=0; i<1000; i++){
var dl=[];
for(var j=0; j<100; j++){
dl.push({
“bookId” : “BBK-” + i + “-” + j,
“type” : “Revision”,
“version” : “IricSoneVB0001”,
“title” : “Jackson’s Life”,
“subCount” : 10,
“location” : “China CN Shenzhen Futian District”,
“author” : {
“name” : 50,
“email” : “RichardFoo@yahoo.com”,
“gender” : “female”
},
“createTime” : new Date()
});
}
cnt +=dl.length;
db.test_shard.insertMany(dl);
print(“insert “, cnt);
}

在windows下安装mongodb,利用自带的compass客户端观察两个shard集群

会发现数据分流到两个集群了

也可以直接连route观察数据

补充:

把js存到文件里给shell执行会比较方便

执行js命令如下:

mongo mongodb://admin:123456@127.0.0.1:25001 https://www.jb51.net/article/test.js

示例js代码:

print(‘=========WECOME==========’);

conn=new Mongo(“mongodb://admin:123456@192.168.2.129:25001”);
db=conn.getDB(“testjs”)
sh.enableSharding(“testjs”)
db.createCollection(“testjs_col”)
sh.shardCollection(“testjs.testjs_col”, {_id:”hashed”}, false, { numInitialChunks: 4} )
var dl=[];
for(var j=0; j<10; j++){
dl.push({
“bookId” : “BBK-” + 0 + “-” + j,
“type” : “Revision”,
“version” : “IricSoneVB0001”,
“title” : “Jackson’s Life”,
“subCount” : 10,
“location” : “China CN Shenzhen Futian District”,
“author” : {
“name” : 50,
“email” : “RichardFoo@yahoo.com”,
“gender” : “female”
},
“createTime” : new Date()
});
}
db.testjs_col.insertMany(dl);
cursor=db.testjs_col.find();
printjson(cursor.toArray());

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