using System; using System.Collections.Generic; using System.Linq; using System.Text; using MongoDB; namespace ConsoleApplication34 { class Program { static void Main(string[] args) { //Create Database Mongo mongoDBdataBase = new Mongo(); mongoDBdataBase.Connect(); var dataBaseToWork = mongoDBdataBase.GetDatabase("Bloggers"); //Create Collection var blogger = dataBaseToWork.GetCollection("blogger"); //Insert Records var b = new Document(); b["Name"] = "Dhananjay"; b["Country"] = "India"; blogger.Insert(b); b["Name"] = "G Block"; b["Country"] = "USA"; blogger.Insert(b); //Fetch Record var searchBlogger = new Document(); searchBlogger["Name"] = "Dhananjay"; var result = blogger.FindOne(searchBlogger); Console.WriteLine(result.Get("Country").ToString()); Console.ReadKey(true); } } }
Microsoft Windows [版本 6.3.9600] (c) 2013 Microsoft Corporation。保留所有权利。 C:Windowssystem32>e: E:>cd mongodb E:MongoDB>cd bin E:MongoDBin>dir 驱动器 E 中的卷是 DiskA 卷的序列号是 0006-89F1 E:MongoDBin 的目录 2014/08/27 11:04 <DIR> . 2014/08/27 11:04 <DIR> .. 2014/08/08 21:18 10,143,744 mongo.exe 2014/08/27 11:15 0 mongod 2014/08/08 21:28 18,920,960 mongod.exe 2014/08/08 21:28 129,068,032 mongod.pdb 2014/08/08 21:29 18,846,720 mongodump.exe 2014/08/08 21:29 18,796,544 mongoexport.exe 2014/08/08 21:29 18,825,728 mongoimport.exe 2014/08/08 21:29 18,866,176 mongorestore.exe 2014/08/08 21:29 18,836,992 mongostat.exe 2014/08/08 21:29 18,790,912 mongotop.exe 10 个文件 271,095,808 字节 2 个目录 63,331,532,800 可用字节 E:MongoDBin>mongo 127.0.0.1:27017 MongoDB shell version: 2.6.4 connecting to: 127.0.0.1:27017/test > > exit bye E:MongoDBin>mongo 127.0.0.1:27017/admin MongoDB shell version: 2.6.4 connecting to: 127.0.0.1:27017/admin > use foobar switched to db foobar > db.persons.insert({name:"xiangyue"}) WriteResult({ "nInserted" : 1 }) > show dbs admin (empty) foobar 0.078GB local 0.078GB zos 0.078GB > db.system.indexes.find() { "v" : 1, "key" : { "_id" : 1 }, "name" : "_id_", "ns" : "foobar.persons" } > db.persons.find()) { "_id" : ObjectId("53fecb84369886ae9857e137"), "name" : "xiangyue" } > db.persons.find() { "_id" : ObjectId("53fecb84369886ae9857e137"), "name" : "xiangyue" } > db.persons.findone() 2014-08-28T14:33:47.635+0800 TypeError: Property 'findone' of object foobar.pers ons is not a function > db.persons.findOne() { "_id" : ObjectId("53fecb84369886ae9857e137"), "name" : "xiangyue" } > db.update.find(name:xiangyue2,{$set:{name:"xiangxiang3"}}) > db.persons.remove({name:"xiangyue2"}) WriteResult({ "nRemoved" : 1 }) >
mongodb与mysql命令对比
传统的关系数据库一般由数据库(database)、表(table)、记录(record)三个层次概念组成,MongoDB是由数据库(database)、集合(collection)、文档对象(document)三个层次组成。MongoDB对于关系型数据库里的表,但是集合中没有列、行和关系概念,这体现了模式自由的特点。
MySQL |
MongoDB |
说明 |
mysqld |
mongod |
服务器守护进程 |
mysql |
mongo |
客户端工具 |
mysqldump |
mongodump |
逻辑备份工具 |
mysql |
mongorestore |
逻辑恢复工具 |
|
db.repairDatabase() |
修复数据库 |
mysqldump |
mongoexport |
数据导出工具 |
source |
mongoimport |
数据导入工具 |
grant * privileges on *.* to … |
Db.addUser() Db.auth() |
新建用户并权限 |
show databases |
show dbs |
显示库列表 |
Show tables |
Show collections |
显示表列表 |
Show slave status |
Rs.status |
查询主从状态 |
Create table users(a int, b int) |
db.createCollection("mycoll", {capped:true, size:100000}) 另:可隐式创建表。 |
创建表 |
Create INDEX idxname ON users(name) |
db.users.ensureIndex({name:1}) |
创建索引 |
Create INDEX idxname ON users(name,ts DESC) |
db.users.ensureIndex({name:1,ts:-1}) |
创建索引 |
Insert into users values(1, 1) |
db.users.insert({a:1, b:1}) |
插入记录 |
Select a, b from users |
db.users.find({},{a:1, b:1}) |
查询表 |
Select * from users |
db.users.find() |
查询表 |
Select * from users where age=33 |
db.users.find({age:33}) |
条件查询 |
Select a, b from users where age=33 |
db.users.find({age:33},{a:1, b:1}) |
条件查询 |
select * from users where age<33 |
db.users.find({'age':{$lt:33}}) |
条件查询 |
select * from users where age>33 and age<=40 |
db.users.find({'age':{$gt:33,$lte:40}}) |
条件查询 |
select * from users where a=1 and b='q' |
db.users.find({a:1,b:'q'}) |
条件查询 |
select * from users where a=1 or b=2 |
db.users.find( { $or : [ { a : 1 } , { b : 2 } ] } ) |
条件查询 |
select * from users limit 1 |
db.users.findOne() |
条件查询 |
select * from users where name like "%Joe%" |
db.users.find({name:/Joe/}) |
模糊查询 |
select * from users where name like "Joe%" |
db.users.find({name:/^Joe/}) |
模糊查询 |
select count(1) from users |
Db.users.count() |
获取表记录数 |
select count(1) from users where age>30 |
db.users.find({age: {'$gt': 30}}).count() |
获取表记录数 |
select DISTINCT last_name from users |
db.users.distinct('last_name') |
去掉重复值 |
select * from users ORDER BY name |
db.users.find().sort({name:-1}) |
排序 |
select * from users ORDER BY name DESC |
db.users.find().sort({name:-1}) |
排序 |
EXPLAIN select * from users where z=3 |
db.users.find({z:3}).explain() |
获取存储路径 |
update users set a=1 where b='q' |
db.users.update({b:'q'}, {$set:{a:1}}, false, true) |
更新记录 |
update users set a=a+2 where b='q' |
db.users.update({b:'q'}, {$inc:{a:2}}, false, true) |
更新记录 |
delete from users where z="abc" |
db.users.remove({z:'abc'}) |
删除记录 |
|
db. users.remove() |
删除所有的记录 |
drop database IF EXISTS test; |
use test db.dropDatabase() |
删除数据库 |
drop table IF EXISTS test; |
db.mytable.drop() |
删除表/collection |
|
db.addUser(‘test’, ’test’) |
添加用户 readOnly-->false |
|
db.addUser(‘test’, ’test’, true) |
添加用户 readOnly-->true |
|
db.addUser("test","test222") |
更改密码 |
|
db.system.users.remove({user:"test"}) 或者db.removeUser('test') |
删除用户 |
|