您的位置：首页 > 数据库 > Mongodb

mongodb安装笔记【服务没有及时响应或控制请求】

2014-01-10 09:37 441 查看
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


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 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 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, 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 usersWHERE status = "A"


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


See
find()for more information.
SELECT user_id, status
FROM 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 > 25
AND   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 5
SKIP 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 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 StatementsMongoDB remove() StatementsReference
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.
内容来自用户分享和网络整理，不保证内容的准确性，如有侵权内容，可联系管理员处理 点击这里给我发消息
标签： 
相关文章推荐
新的分享
章节导航