mongodb安装过程与常用命令

参考博客：http://my.oschina.net/Kenyon/blog/99742

mongodb安装过程

1、解压缩

[root@localhost opt]# tar -zxvf mongodb-linux-i686-2.4.9.tgz

mongodb-linux-i686-2.4.9/README

mongodb-linux-i686-2.4.9/THIRD-PARTY-NOTICES

mongodb-linux-i686-2.4.9/GNU-AGPL-3.0

2、重命名文件夹

[root@localhost opt]# mv mongodb-linux-i686-2.4.9 mongodb

3、创建数据库日志文件夹和数据文件夹

[root@localhost mongodb]# mkdir log

[root@localhost mongodb]# mkdir data

4、启动服务

[root@localhost mongodb]# cd bin

[root@localhost bin]#

[root@localhost bin]# ./mongod --dbpath=/opt/mongodb/data --logpath=/opt/mongodb/log/mongodb.log --logappend &

[1] 16334

[root@localhost bin]# all output going to: /opt/mongodb/log/mongodb.log

5、注意安装的版本（32位还是64位）否则启动服务可能报下面的错误

[root@localhost bin]# ./mongod: error while loading shared libraries: libstdc++.so.6: cannot open shared object file: No such file or directory

mongodb常用命令

1、连接mongodb

[root@localhost opt]# cd mongodb/bin

[root@localhost bin]# ./mongo

MongoDB shell version: 2.4.9

connecting to: test

> use local

switched to db local

> show collections

ewalletlog

ewalletlogs

startup_log

system.indexes

>

> db.ewalletlogs.find();

2、查看现有的数据库> show dbs;

local (empty)

test 0.203125GB

3、数据库切换> use local;

switched to db local

> use test;

switched to db test

>

4、显示collctions> show collections;

kenyon

system.indexes

test

things

>

5、数据插入方式一(save)：

> db.kenyon.save({id:8899,name:'kenyon_test_mongo'});

> db.kenyon.save({id:99,name:'kenyon_test_mongo',remark:'first time here'});

方式二(预定义)：

> tmp={id:0909,name:'kenyon_test',create_time:'2013-01-01'};

> db.kenyon.insert(tmp);

方式三(循环插)：

> for (var i = 1; i <= 25; i++) db.tab_kenyon.insert( { x : 4 , j : i } )

> db.tab_kenyon.find();

{ "_id" : ObjectId("50e4b8007a86419166fd68f0"), "x" : 4, "j" : 1 }

{ "_id" : ObjectId("50e4b8007a86419166fd68f1"), "x" : 4, "j" : 2 }

{ "_id" : ObjectId("50e4b8007a86419166fd68f2"), "x" : 4, "j" : 3 }

如果不存在collection会自动创建，不会报错，显示数据时默认是显示20条数据，输入it来查看下一页的20条数据

6、数据检索

1） 普通方式> db.kenyon.find();

{ "_id" : ObjectId("50e49c55f8de48037fe44062"), "name" : "mongo" }

{ "_id" : ObjectId("50e49d2ecd320366f7122605"), "name" : "mongo", "id" : "888" }

{ "_id" : ObjectId("50e4b3fe7a86419166fd68ed"), "id" : 8899, "name" : "kenyon_test_mongo" }

{ "_id" : ObjectId("50e4b4167a86419166fd68ee"), "id" : 99, "name" : "kenyon_test_mongo", "remark" : "first time here" }

{ "_id" : ObjectId("50e4b6817a86419166fd68ef"), "id" : 909, "name" : "kenyon_test", "create_time" : "2013-01-01" }

2）查询一条数据> db.kenyon.findOne();

{ "_id" : ObjectId("50e49c55f8de48037fe44062"), "name" : "mongo" }

3）条件检索> db.kenyon.find();

{ "_id" : ObjectId("50e49c55f8de48037fe44062"), "name" : "mongo" }

{ "_id" : ObjectId("50e49d2ecd320366f7122605"), "name" : "mongo", "id" : "888" }

{ "_id" : ObjectId("50e4b3fe7a86419166fd68ed"), "id" : 8899, "name" : "kenyon_test_mongo" }

{ "_id" : ObjectId("50e4b4167a86419166fd68ee"), "id" : 99, "name" : "kenyon_test_mongo", "remark" : "first time here" }

{ "_id" : ObjectId("50e4b6817a86419166fd68ef"), "id" : 909, "name" : "kenyon_test", "create_time" : "2013-01-01" }

> db.kenyon.find({id:909});

{ "_id" : ObjectId("50e4b6817a86419166fd68ef"), "id" : 909, "name" : "kenyon_test", "create_time" : "2013-01-01" }

> db.kenyon.find({name:"mongo"});

{ "_id" : ObjectId("50e49c55f8de48037fe44062"), "name" : "mongo" }

{ "_id" : ObjectId("50e49d2ecd320366f7122605"), "name" : "mongo", "id" : "888" }

4) 通过正则表达式进行模糊查询

>db.ewalletlogs.find({message:/^2014-02-13 12:*/});

5）限制查询(limit)

> db.kenyon.find().limit(2)

{ "_id" : ObjectId("50e49c55f8de48037fe44062"), "name" : "mongo" }

{ "_id" : ObjectId("50e49d2ecd320366f7122605"), "name" : "mongo", "id" : "888" }

7、mongo的shell帮助> help

db.help() help on db methods

db.mycoll.help() help on collection methods

sh.help() sharding helpers

rs.help() replica set helpers

help admin administrative help

help connect connecting to a db help

help keys key shortcuts

help misc misc things to know

help mr mapreduce

show dbs show database names

show collections show collections in current database

show users show users in current database

show profile show most recent system.profile entries with time >= 1ms

show logs show the accessible logger names

show log [name] prints out the last segment of log in memory, 'global' is default

use set current database

db.foo.find() list objects in collection foo

db.foo.find( { a : 1 } ) list objects in foo where a == 1

it result of the last line evaluated; use to further iterate

DBQuery.shellBatchSize = x set default number of items to display on shell

exit quit the mongo shell

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