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技术文章  >  数据库 > mysql教程

mongodb安装笔记【服务没有及时响应或控制请求】

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2016-06-07 15:28:08 1302浏览

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\mong

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 s
tart 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+3
6

> db
test
> // 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

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 Statements MongoDB Schema Statements Reference 
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 users
ADD 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 users
DROP 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_asc
ON users(user_id)

db.users.ensureIndex( { user_id: 1 } )
See ensureIndex()andindexes for more information. 
CREATE INDEX
       idx_user_id_asc_age_desc
ON 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 Statements MongoDB insert() Statements Reference 
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 Statements MongoDB find() Statements Reference 
SELECT *
FROM users

db.users.find()
See find()for more information. 
SELECT id, user_id, status
FROM users

db.users.find(
    { },
    { user_id: 1, status: 1 }
)
See find()for more information. 
SELECT user_id, status
FROM users

db.users.find(
    { },
    { user_id: 1, status: 1, _id: 0 }
)
See find()for more information. 
SELECT *
FROM users
WHERE status = "A"

db.users.find(
    { status: "A" }
)
See find()for more information. 
SELECT user_id, status
FROM users
WHERE status = "A"

db.users.find(
    { status: "A" },
    { user_id: 1, status: 1, _id: 0 }
)
See find()for more information. 
SELECT *
FROM users
WHERE status != "A"

db.users.find(
    { status: { $ne: "A" } }
)
See find()and$ne for more information. 
SELECT *
FROM users
WHERE status = "A"
AND age = 50

db.users.find(
    { status: "A",
      age: 50 }
)
See find()and$and for more information. 
SELECT *
FROM users
WHERE status = "A"
OR age = 50

db.users.find(
    { $or: [ { status: "A" } ,
             { age: 50 } ] }
)
See find()and$or for more information. 
SELECT *
FROM users
WHERE age > 25

db.users.find(
    { age: { $gt: 25 } }
)
See find()and$gt for more information. 
SELECT *
FROM users
WHERE age 
	
db.users.find(
   { age: { $lt: 25 } }
)
See find()and$lt for more information. 
SELECT *
FROM users
WHERE age > 25
AND   age 
	
db.users.find(
   { age: { $gt: 25, $lte: 50 } }
)
See find(),$gt, and $lte formore information. 
SELECT *
FROM users
WHERE user_id like "%bc%"

db.users.find(
   { user_id: /bc/ }
)
See find()and$regex for more information. 
SELECT *
FROM users
WHERE user_id like "bc%"

db.users.find(
   { user_id: /^bc/ }
)
See find()and$regex for more information. 
SELECT *
FROM users
WHERE status = "A"
ORDER BY user_id ASC

db.users.find( { status: "A" } ).sort( { user_id: 1 } )
See find()andsort()for more information. 
SELECT *
FROM users
WHERE 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 users
WHERE 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 users
LIMIT 1

db.users.findOne()

or

db.users.find().limit(1)
See find(),findOne(),andlimit()for more information. 
SELECT *
FROM users
LIMIT 5
SKIP 10

db.users.find().limit(5).skip(10)
See find(),limit(), andskip() formore information. 
EXPLAIN SELECT *
FROM users
WHERE 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 Statements MongoDB update() Statements Reference 
UPDATE users
SET status = "C"
WHERE age > 25

db.users.update(
   { age: { $gt: 25 } },
   { $set: { status: "C" } },
   { multi: true }
)
See update(),$gt, and $set for moreinformation. 
UPDATE users
SET age = age + 3
WHERE 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 Statements MongoDB remove() Statements Reference 
DELETE FROM users
WHERE status = "D"

db.users.remove( { status: "D" } )
See remove()for more information. 
DELETE FROM users

db.users.remove( )
See remove()for more information.
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