mongodb安装笔记【服务没有及时响应或控制请求】

mongodb安装笔记

--下面大部分都是参考网上资料，仅仅作为笔记使用

参考链接

Mongodb官网安装

Mongodb官网对比

相关文档

我的mongodb安装在[d:\Java\mongodb]

所以需要根目录手动创建文件夹【e:\data\db】

mongodb使用服务方式安装

 'D:\Java\mongodb\bin\mongod.exe --bind_ip 127.0.0.1 --logpath d:\\Java\\mongodb\\logs\\MongoLog.log --logappend --dbpath d:\\data --directoryperdb --service'Fri Jan 10 09:17:45.050 Service can be started from the command line with 'net start MongoDB'

日志需要指定具体的文件，比如MongoLog.log   之前没有置顶就报错【服务没有及时响应或控制请求】

安装、删除服务指令

mongod --install

mongod --service

mongod --remove

mongod --reinstall

或者

C:\mongodb\bin\mongod.exe --remove

启动服务

net start Mongodb

停止服务

net stop Mongodb

测试简单JavaScript语句

> 3+36> dbtest> // the first write will create the db:> db.foo.insert( { a : 1 } )> db.foo.find(){ _id : ..., a : 1 }mongo.exe的详细的用法可以参考mongo.exe --help

show dbs:显示数据库列表 
show collections：显示当前数据库中的集合（类似关系数据库中的表） 
show users：显示用户

use <db name>：切换当前数据库，这和MS-SQL里面的意思一样 
db.help()：显示数据库操作命令，里面有很多的命令 
db.foo.help()：显示集合操作命令，同样有很多的命令，foo指的是当前数据库下，一个叫foo的集合，并非真正意义上的命令 
db.foo.find()：对于当前数据库中的foo集合进行数据查找（由于没有条件，会列出所有数据） 
db.foo.find( { a : 1 } )：对于当前数据库中的foo集合进行查找，条件是数据中有一个属性叫a，且a的值为1

下面从官网摘抄下来的普通sql跟MongoDB的区别

Create and Alter

The following table presents the various SQL statements related totable-level actions and the corresponding MongoDB statements.

SQL Schema StatementsMongoDB Schema StatementsReference

CREATE TABLE users (    id MEDIUMINT NOT NULL        AUTO_INCREMENT,    user_id Varchar(30),    age Number,    status char(1),    PRIMARY KEY (id))

Implicitly created on first insert() operation. The primary key_idis automatically added if_id field is not specified.

db.users.insert( {    user_id: "abc123",    age: 55,    status: "A" } )

However, you can also explicitly create a collection:

db.createCollection("users")

Seeinsert() anddb.createCollection()for more information.

ALTER TABLE usersADD join_date DATETIME

Collections do not describe or enforce the structure of itsdocuments; i.e. there is no structural alteration at thecollection level.

However, at the document level, update() operations can add fields to existingdocuments using the$set operator.

db.users.update(    { },    { $set: { join_date: new Date() } },    { multi: true })

See the Data Modeling Concepts, update(), and$set for moreinformation on changing the structure of documents in acollection.

ALTER TABLE usersDROP COLUMN join_date

Collections do not describe or enforce the structure of itsdocuments; i.e. there is no structural alteration at the collectionlevel.

However, at the document level, update() operations can remove fields fromdocuments using the$unset operator.

db.users.update(    { },    { $unset: { join_date: "" } },    { multi: true })

See Data Modeling Concepts, update(), and$unset for more information on changing the structure ofdocuments in a collection.

CREATE INDEX idx_user_id_ascON users(user_id)

db.users.ensureIndex( { user_id: 1 } )

See ensureIndex()andindexes for more information.

CREATE INDEX       idx_user_id_asc_age_descON users(user_id, age DESC)

db.users.ensureIndex( { user_id: 1, age: -1 } )

See ensureIndex()andindexes for more information.

DROP TABLE users

db.users.drop()

See drop() formore information.

Insert

The following table presents the various SQL statements related toinserting records into tables and the corresponding MongoDB statements.

SQL INSERT StatementsMongoDB insert() StatementsReference

INSERT INTO users(user_id,                  age,                  status)VALUES ("bcd001",        45,        "A")

db.users.insert( {       user_id: "bcd001",       age: 45,       status: "A"} )

See insert() for more information.

Select

The following table presents the various SQL statements related toreading records from tables and the corresponding MongoDB statements.

SQL SELECT StatementsMongoDB find() StatementsReference

SELECT *FROM users

db.users.find()

See find()for more information.

SELECT id, user_id, statusFROM users

db.users.find(    { },    { user_id: 1, status: 1 })

See find()for more information.

SELECT user_id, statusFROM users

db.users.find(    { },    { user_id: 1, status: 1, _id: 0 })

See find()for more information.

SELECT *FROM usersWHERE status = "A"

db.users.find(    { status: "A" })

See find()for more information.

SELECT user_id, statusFROM usersWHERE status = "A"

db.users.find(    { status: "A" },    { user_id: 1, status: 1, _id: 0 })

See find()for more information.

SELECT *FROM usersWHERE status != "A"

db.users.find(    { status: { $ne: "A" } })

See find()and$ne for more information.

SELECT *FROM usersWHERE status = "A"AND age = 50

db.users.find(    { status: "A",      age: 50 })

See find()and$and for more information.

SELECT *FROM usersWHERE status = "A"OR age = 50

db.users.find(    { $or: [ { status: "A" } ,             { age: 50 } ] })

See find()and$or for more information.

SELECT *FROM usersWHERE age > 25

db.users.find(    { age: { $gt: 25 } })

See find()and$gt for more information.

SELECT *FROM usersWHERE age < 25

db.users.find(   { age: { $lt: 25 } })

See find()and$lt for more information.

SELECT *FROM usersWHERE age > 25AND   age <= 50

db.users.find(   { age: { $gt: 25, $lte: 50 } })

See find(),$gt, and $lte formore information.

SELECT *FROM usersWHERE user_id like "%bc%"

db.users.find(   { user_id: /bc/ })

See find()and$regex for more information.

SELECT *FROM usersWHERE user_id like "bc%"

db.users.find(   { user_id: /^bc/ })

See find()and$regex for more information.

SELECT *FROM usersWHERE status = "A"ORDER BY user_id ASC

db.users.find( { status: "A" } ).sort( { user_id: 1 } )

See find()andsort()for more information.

SELECT *FROM usersWHERE status = "A"ORDER BY user_id DESC

db.users.find( { status: "A" } ).sort( { user_id: -1 } )

See find()andsort()for more information.

SELECT COUNT(*)FROM users

db.users.count()

or

db.users.find().count()

See find()andcount() formore information.

SELECT COUNT(user_id)FROM users

db.users.count( { user_id: { $exists: true } } )

or

db.users.find( { user_id: { $exists: true } } ).count()

See find(),count(), and$exists for more information.

SELECT COUNT(*)FROM usersWHERE age > 30

db.users.count( { age: { $gt: 30 } } )

or

db.users.find( { age: { $gt: 30 } } ).count()

See find(),count(), and$gt for more information.

SELECT DISTINCT(status)FROM users

db.users.distinct( "status" )

See find()anddistinct()for more information.

SELECT *FROM usersLIMIT 1

db.users.findOne()

or

db.users.find().limit(1)

See find(),findOne(),andlimit()for more information.

SELECT *FROM usersLIMIT 5SKIP 10

db.users.find().limit(5).skip(10)

See find(),limit(), andskip() formore information.

EXPLAIN SELECT *FROM usersWHERE status = "A"

db.users.find( { status: "A" } ).explain()

See find()andexplain()for more information.

Update Records

The following table presents the various SQL statements related toupdating existing records in tables and the corresponding MongoDBstatements.

SQL Update StatementsMongoDB update() StatementsReference

UPDATE usersSET status = "C"WHERE age > 25

db.users.update(   { age: { $gt: 25 } },   { $set: { status: "C" } },   { multi: true })

See update(),$gt, and $set for moreinformation.

UPDATE usersSET age = age + 3WHERE status = "A"

db.users.update(   { status: "A" } ,   { $inc: { age: 3 } },   { multi: true })

See update(),$inc, and $set for moreinformation.

Delete Records

The following table presents the various SQL statements related todeleting records from tables and the corresponding MongoDB statements.

SQL Delete StatementsMongoDB remove() StatementsReference

DELETE FROM usersWHERE status = "D"

db.users.remove( { status: "D" } )

See remove()for more information.

DELETE FROM users

db.users.remove( )

See remove()for more information.