mysql服务没有及时响应启动或控制请求_mongodb安装笔记【服务没有及时响应或控制请求】...

梦里梦外; 2022-10-25 04:58 253阅读 0赞

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 < 25

db.users.find(

\{ age: \{ $lt: 25 \} \}

)

See find()and$lt for more information.

SELECT \*

FROM users

WHERE age > 25

AND age <= 50

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.

![f68f2add0b68e4f9810432fce46917b7.png][]

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