客户端和服务端的安装

# rpm -ivh mongo-10gen-2.4.6-mongodb_1.x86_64.rpm mongo-10gen-server-2.4.6-mongodb_1.x86_64.rpm





创建数据库存放数据目录

# mkdir -pv /mongodb/data

mkdir: created directory `/mongodb'

mkdir: created directory `/mongodb/data'

[root@node2 ~]# chown -R mongod.mongod /mongodb/data





修改配置文件

[root@node2 ~]# vim /etc/mongod.conf

[root@node2 ~]# service mongod start





可以通过访问web界面显示服务器状态:

http://192.168.8.39:28017/





数据库常见操作:

进入数据库

# mongo

> 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 <db_name> 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

> use testdb

switched to db testdb

> show collections

> show dbs

admin (empty)

local 0.078125GB

test (empty)

testdb (empty)

> db.testcoll.insert({name: "tom"})

> show collections

system.indexes

testcoll

> db.testcoll.find()

{ "_id" : ObjectId("575cd1692756c2ee1a25da27"), "name" : "tom" }

> db.testcoll.insert({name: 'jack'})

> db.testcoll.find()

{ "_id" : ObjectId("575cd1692756c2ee1a25da27"), "name" : "tom" }

{ "_id" : ObjectId("575cd1962756c2ee1a25da28"), "name" : "jack" }

> db.testcoll.insert({name: 'lily',age: 18},{name: 'lucy', age: 19})





显示状态:

> db.testcoll.stats()

{

"ns" : "testdb.testcoll",

"count" : 3,

"size" : 132,

"avgObjSize" : 44,

"storageSize" : 4096,

"numExtents" : 1,

"nindexes" : 1,

"lastExtentSize" : 4096,

"paddingFactor" : 1,

"systemFlags" : 1,

"userFlags" : 0,

"totalIndexSize" : 8176,

"indexSizes" : {

"_id_" : 8176

},

"ok" : 1

}





删除文档

> show collections

system.indexes

testcoll

> show dbs

admin (empty)

local 0.078125GB

test (empty)

testdb 0.203125GB

> db.testcoll.drop()

true

> show collections

system.indexes





创建新表

> use itpart
switched to db itpart
> db.worker.insert({name: 'jack'})
> db.worker.insert({name: 'tom'})
> db.worker.insert({name: 'lily',age: 22})
> db.worker.insert({name: 'lucy',age: 23})
> db.worker.find()
{ "_id" : ObjectId("575cd3922756c2ee1a25da2a"), "name" : "jack" }
{ "_id" : ObjectId("575cd39a2756c2ee1a25da2b"), "name" : "tom" }
{ "_id" : ObjectId("575cd3ac2756c2ee1a25da2c"), "name" : "lily", "age" : 22 }
{ "_id" : ObjectId("575cd3b72756c2ee1a25da2d"), "name" : "lucy", "age" : 23 }
> db.city.insert({area: 'shenzhen'})
> show collections
city
system.indexes
worker
> db.city.find()
{ "_id" : ObjectId("575cd3ef2756c2ee1a25da2e"), "area" : "shenzhen" }
> db.worker.find()
{ "_id" : ObjectId("575cd3922756c2ee1a25da2a"), "name" : "jack" }
{ "_id" : ObjectId("575cd39a2756c2ee1a25da2b"), "name" : "tom" }
{ "_id" : ObjectId("575cd3ac2756c2ee1a25da2c"), "name" : "lily", "age" : 22 }
{ "_id" : ObjectId("575cd3b72756c2ee1a25da2d"), "name" : "lucy", "age" : 23 }

查找年龄大于22的元素

> db.worker.find({age:{$gt: 22}})

{ "_id" : ObjectId("575cd3b72756c2ee1a25da2d"), "name" : "lucy", "age" : 23 }

只显示name

> db.worker.find({age: {$gt: 22}},{name:1 })

{ "_id" : ObjectId("575cd3b72756c2ee1a25da2d"), "name" : "lucy" }





修改元素:

> db.worker.update({age: {$gt: 18}}, {$set: { status: 'A'}},{multi: true})

> db.worker.find()

{ "_id" : ObjectId("575cd3922756c2ee1a25da2a"), "name" : "jack" }

{ "_id" : ObjectId("575cd39a2756c2ee1a25da2b"), "name" : "tom" }

{ "_id" : ObjectId("575cd4f52756c2ee1a25da2f"), "age" : 22, "name" : "jack", "status" : "A" }

{ "_id" : ObjectId("575cd3ac2756c2ee1a25da2c"), "age" : 22, "name" : "lily", "status" : "A" }

{ "_id" : ObjectId("575cd3b72756c2ee1a25da2d"), "age" : 23, "name" : "lucy", "status" : "A" }





删除元素:

> db.worker.remove({status: 'B'})
> db.worker.find()
{ "_id" : ObjectId("575cd3922756c2ee1a25da2a"), "name" : "jack" }
{ "_id" : ObjectId("575cd39a2756c2ee1a25da2b"), "name" : "tom" }
{ "_id" : ObjectId("575cd3ac2756c2ee1a25da2c"), "age" : 22, "name" : "lily", "status" : "A" }
{ "_id" : ObjectId("575cd3b72756c2ee1a25da2d"), "age" : 23, "name" : "lucy", "status" : "A" }

批量插入数据:

> for(i=1;i<=100;i++) db.testcoll.insert({name: "user" + i,age: i,gender: 'm',preferbooks: ['first book','second book']})

显示前三行

> db.testcoll.find().limit(3)

移除 年龄为8的元素

> db.testcoll.remove({age: 8})

查找年龄大于93的元素

> db.testcoll.find({age: {$gte: 93}})

找出年龄在60~70之间的元素

> db.testcoll.find({$and: [{age: {$gte: 60}}, {age: {$lte: 70}}]})
{ "_id" : ObjectId("575cd8302756c2ee1a25da6b"), "name" : "user60", "age" : 60, "gender" : "m", "preferbooks" : [ "first book", "second book" ] }
{ "_id" : ObjectId("575cd8302756c2ee1a25da6c"), "name" : "user61", "age" : 61, "gender" : "m", "preferbooks" : [ "first book", "second book" ] }
{ "_id" : ObjectId("575cd8302756c2ee1a25da6d"), "name" : "user62", "age" : 62, "gender" : "m", "preferbooks" : [ "first book", "second book" ] }
{ "_id" : ObjectId("575cd8302756c2ee1a25da6e"), "name" : "user63", "age" : 63, "gender" : "m", "preferbooks" : [ "first book", "second book" ] }
{ "_id" : ObjectId("575cd8302756c2ee1a25da6f"), "name" : "user64", "age" : 64, "gender" : "m", "preferbooks" : [ "first book", "second book" ] }
{ "_id" : ObjectId("575cd8302756c2ee1a25da70"), "name" : "user65", "age" : 65, "gender" : "m", "preferbooks" : [ "first book", "second book" ] }
{ "_id" : ObjectId("575cd8302756c2ee1a25da71"), "name" : "user66", "age" : 66, "gender" : "m", "preferbooks" : [ "first book", "second book" ] }
{ "_id" : ObjectId("575cd8302756c2ee1a25da72"), "name" : "user67", "age" : 67, "gender" : "m", "preferbooks" : [ "first book", "second book" ] }
{ "_id" : ObjectId("575cd8302756c2ee1a25da73"), "name" : "user68", "age" : 68, "gender" : "m", "preferbooks" : [ "first book", "second book" ] }
{ "_id" : ObjectId("575cd8302756c2ee1a25da74"), "name" : "user69", "age" : 69, "gender" : "m", "preferbooks" : [ "first book", "second book" ] }
{ "_id" : ObjectId("575cd8302756c2ee1a25da75"), "name" : "user70", "age" : 70, "gender" : "m", "preferbooks" : [ "first book", "second book" ] }

显示address属性存在的元素

> db.testcoll.insert({name: 'jack',age: 28, address: 'shenzhen'})

> db.testcoll.find({address: {$exists: true}})

{ "_id" : ObjectId("575cdbf1c1e73f4b26e83033"), "name" : "jack", "age" : 28, "address" : "shenzhen" }

> db.testcoll.find({address: {$exists: false}})





修改元素,默认只修改第一行

> db.testcoll.update({age: {$gt: 80}} , {$set: {gender: 'f'}})

满足条件的全部修改

> db.testcoll.update({age: {$gt: 80}}, {$set: {gender: 'f'}},{multi: true})

删除列

> db.testcoll.update({name: 'user81'},{$unset: {preferbooks: ''}})

> db.testcoll.find({age: {$gt: 80}})

{ "_id" : ObjectId("575cd8302756c2ee1a25da80"), "age" : 81, "gender" : "f", "name" : "user81" }

索引的操作:

显示索引

> db.testcoll.getIndexes()

[

{

"v" : 1,

"key" : {

"_id" : 1

},

"ns" : "itpart.testcoll",

"name" : "_id_"

}

]





> db.testcoll.getIndexes()

[

{

"v" : 1,

"key" : {

"_id" : 1

},

"ns" : "itpart.testcoll",

"name" : "_id_"

},

{

"v" : 1,

"key" : {

"name" : 1

},

"ns" : "itpart.testcoll",

"name" : "name_1"

}

]





设置索引的方法

> db.testcoll.ensureIndex({name:'hashed'})

> db.testcoll.getIndexes()

[

{

"v" : 1,

"key" : {

"_id" : 1

},

"ns" : "itpart.testcoll",

"name" : "_id_"

},

{

"v" : 1,

"key" : {

"name" : 1

},

"ns" : "itpart.testcoll",

"name" : "name_1"

},

{

"v" : 1,

"key" : {

"name" : "hashed"

},

"ns" : "itpart.testcoll",

"name" : "name_hashed"

}

]





删除

> db.testcoll.dropIndex('name_hashed')

{ "nIndexesWas" : 3, "ok" : 1 }

> db.testcoll.getIndexes()

[

{

"v" : 1,

"key" : {

"_id" : 1

},

"ns" : "itpart.testcoll",

"name" : "_id_"

},

{

"v" : 1,

"key" : {

"name" : 1

},

"ns" : "itpart.testcoll",

"name" : "name_1"

}

]





显示查找过程

> db.testcoll.find({name:'user19'})

{ "_id" : ObjectId("575cd8302756c2ee1a25da42"), "name" : "user19", "age" : 19, "gender" : "m", "preferbooks" : [  "first book",  "second book" ] }

> db.testcoll.find({name:'user19'}).explain()

{

"cursor" : "BtreeCursor name_1",

"isMultiKey" : false,

"n" : 1,

"nscannedObjects" : 1,

"nscanned" : 1,

"nscannedObjectsAllPlans" : 1,

"nscannedAllPlans" : 1,

"scanAndOrder" : false,

"indexOnly" : false,

"nYields" : 0,

"nChunkSkips" : 0,

"millis" : 0,

"indexBounds" : {

"name" : [

[

"user19",

"user19"

]

]

},

"server" : "node2.chinasoft.com:27017"

}

mongodb数据库安装及常见操作的更多相关文章

  1. python操作三大主流数据库(8)python操作mongodb数据库②python使用pymongo操作mongodb的增删改查

    python操作mongodb数据库②python使用pymongo操作mongodb的增删改查 文档http://api.mongodb.com/python/current/api/index.h ...

  2. mongoVUE破解与配置、Mongodb数据库安装

    一.mongoVUE 1.5.3破解: 1) 开始-运行-regedit-搜索:B1159E65-821C3-21C5-CE21-34A484D54444 2.) 然后把1,2,3项数值删除,然后重新 ...

  3. mongodb的安装与简单操作

    MongoDB中文社区:http://www.mongoing.com     数据库的使用场景 SQL(关系型数据库):MySQL.SQLServer  --->磁盘操作 1.高度事务性的场景 ...

  4. MongoDB数据库安装及配置环境终极教程(windows10系统)

    本文是笔者花时间踩坑踩生气了写出来的!转载请注明出处@http://www.cnblogs.com/tim100/!请尊重我的劳动成果!谢谢! 今天,给大家说说在windows10系统下MongoDB ...

  5. mongodb数据库安装

    mongodb的安装 1,下载安装包: http://www.runoob.com/mongodb/mongodb-window-install.html 2,安装至:    D:\MongoDB,将 ...

  6. MongoDB数据库安装及配置环境(windows10系统)

    windows10系统下MongoDB的安装及环境配置: MongoDB的安装 下载地址: https://www.mongodb.com/download-center (这是windows10环境 ...

  7. 第十二节:Web爬虫之MongoDB数据库安装与数据存储

    MongoDB是一个基于分布式文件存储的数据库.由C++语言编写.旨在为WEB应用提供可扩展的高性能数据存储解决方案. MongoDB是一个介于关系数据库和非关系数据库之间的产品,是非关系数据库当中功 ...

  8. MongoDB 数据库安装

    首先在官网上下载数据库:官网上提供了两种形式的数据库,一种是免安装版的,一种是安装版的.这点跟apache的tomcat类似,安装版的有可视化的界面对服务进行启动和关闭,可是还是比較喜欢免安装的.不解 ...

  9. MongoDB的安装及CURD操作

    MongoDB的下载地址:http://www.mongodb.org/downloads MongoDB有32bit和64bit两个版本,32bit只能存放2GB数据.我们选择64bit版进行下载. ...

随机推荐

  1. Linux下的定时器类实现(select定时+线程)

    更好的计时器类实现:LINUX RTC机制实现计时器类(原创) 很多时候需要在LINUX下用到定时器,但像setitimer()和alarm()这样的定时器有时会和sleep()函数发生冲突,这样就给 ...

  2. Linux中无权限使用sudo

    提示:$USER is not in the sudoers file. This incident will be reported. 解决方法: 切换到root用户,su 编辑sudo配置文件,v ...

  3. LICS O(n*m)+前驱路径

    LICS:最长公共上升子序列: 一般令f[i][j]表示a串前i位,b串以j结尾的LICS长度.于是,答案为:max(1~m)(f[n][i]); 朴素做法:O(n^3) 相等时,从1~j-1枚举最大 ...

  4. A1022. Digital Library

    A Digital Library contains millions of books, stored according to their titles, authors, key words o ...

  5. UIManager的字体颜色参数对照表

    FileChooser.fileTypeHeaderTextTextArea.margincom.sun.java.swing.plaf.windows.WindowsSplitPaneUIcom.s ...

  6. vs widows服务的开发

    最近再做一个视频管理系统,发现用户提交时实时转换视频非常慢.于是有了通过建立一个单独的服务.通过服务定时查询数据库,是否有需要转换的视频来解决问题.现把过程记录下来,已供参考 1.新建widows 服 ...

  7. ping的作用

    Ping是潜水艇人员的专用术语,表示回应的声纳脉冲,在网络中Ping 是一个十分好用的TCP/IP工具.它主要的功能是用来检测网络的连通情况和分析网络速度. Ping有好的善的一面也有恶的一面.先说一 ...

  8. 【maven】依赖、继承、聚合

    依赖: <dependency> <groupId>junit</groupId> <artifactId>junit</artifactId&g ...

  9. koa的洋葱圈模型

    拿以下这段代码为例: const Koa = require('koa'); const app = new Koa(); // x-response-time app.use(async (ctx, ...

  10. P1282 多米诺骨牌

    P1282 多米诺骨牌 题目描述 多米诺骨牌有上下2个方块组成,每个方块中有1~6个点.现有排成行的 上方块中点数之和记为S1,下方块中点数之和记为S2,它们的差为|S1-S2|.例如在图8-1中,S ...