[bigdata-024] 在centos 6.5上手工安装mongodb 3.2.5

1. 操作系统 centos 6.5

注意：如果是ubunut或者其他操作系统，下载的mongo版本是不一样的。其他操作步骤一样。

2. 删除旧版本

kill xxxx

yum erase mongodb.x86_64

rm /etc/mongod.conf

rm /init/mongo*

rm /init.d/mongo*

locate mongo

删除全部mongo的相关文件

updatedb -U /

3. 下载mongo
http://downloads.mongodb.org/linux/mongodb-linux-x86_64-rhel62-3.2.5.tgz?_ga=1.34358881.1584437583.1483756087
4. 安装mongodb 3.2.5

参考文档
https://docs.mongodb.com/v3.2/installation/ https://docs.mongodb.com/v3.2/tutorial/install-mongodb-on-linux/ http://www.jb51.net/article/95238.htm
5.

mkdir /home/gyuser/usr

cd /home/gyuser/usr

tar -zxvf mongodb-linux-x86_64-3.2.11.tgz

mv mongodb-linux-x86_64-rhel62-3.2.5/ mongodb-3.2.5/

修改/etc/profile

export MONGODB_HOME=/home/gyuser/usr/mongodb-3.2.5

export PATH=$MONGODB_HOME/bin:$PATH

创建数据目录

mkdir /home/gyuser/mongo-data

mkdir /var/log/mongodb

chmod 777 /var/log/mongodb

启动Mongodb

mongod --dbpath /home/gyuser/mongo-data --logpath /var/log/mongodb/mongod.log --fork

测试可以链接上的。

6. 创建配置文件 /etc/mongodb.conf
这一块建议从别的mongodb的/etc//mongodb.conf里复制修改搞定

# mongod.conf

# for documentation of all options, see:
#   http://docs.mongodb.org/manual/reference/configuration-options/ 
# Where and how to store data.
storage:
dbPath: /var/lib/mongodb
journal:
enabled: true
#  engine:
#  mmapv1:
#  wiredTiger:

# where to write logging data.
systemLog:
destination: file
logAppend: true
path: /var/log/mongodb/mongod.log

# network interfaces
net:
port: 27017
bindIp: 0.0.0.0
#bindIp: 127.0.0.1

#processManagement:

#security:

#operationProfiling:

#replication:

#sharding:

## Enterprise-Only Options:

#auditLog:

#snmp:

7. 再次启动

mongod --config /etc/mongodb.conf --fork

启动成功

8. 创建账户

mongo

use admin

db.createUser({user:'root',pwd:'168', roles:[{role:'userAdminAnyDatabase', db:'admin'}]})

use db1

db.createUser({user:'user1',pwd:'1688',roles:["readWrite"]})

9. 修改/etc/mongodb.conf，设auth=true

然后重启

mongod --config /etc/mongodb.conf --fork

10. 测试插入记录，成功。

mongo

use db1

db.auth('tzuser1', 'user1688')

db.t1.insert({"x":2})

db.t1.find()