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'
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
net stop Mongodb
> 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
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)
)
登入後複製 |
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"
} )
登入後複製 However, you can also explicitly create a collection:
db.createCollection("users")
登入後複製 |
Seeinsert() anddb.createCollection()for more information. |
ALTER TABLE users ADD join_date DATETIME 登入後複製 |
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(
{ },
{ $set: { join_date: new Date() } },
{ multi: true }
)
登入後複製 |
See the Data Modeling Concepts, update(), and$set for moreinformation on changing the structure of documents in acollection. |
ALTER TABLE users DROP COLUMN join_date 登入後複製 |
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(
{ },
{ $unset: { join_date: "" } },
{ multi: true }
)
登入後複製 |
See Data Modeling Concepts, update(), and$unset for more information on changing the structure ofdocuments in a collection. |
CREATE INDEX idx_user_id_asc ON users(user_id) 登入後複製 |
db.users.ensureIndex( { user_id: 1 } )
登入後複製 |
See ensureIndex()andindexes for more information. |
CREATE INDEX
idx_user_id_asc_age_desc
ON users(user_id, age DESC)
登入後複製 |
db.users.ensureIndex( { user_id: 1, age: -1 } )
登入後複製 |
See ensureIndex()andindexes for more information. |
DROP TABLE users 登入後複製 |
db.users.drop() 登入後複製 |
See drop() formore information. |
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")
登入後複製 |
db.users.insert( {
user_id: "bcd001",
age: 45,
status: "A"
} )
登入後複製 |
See insert() for more information. |
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 登入後複製 |
db.users.find() 登入後複製 |
See find()for more information. |
SELECT id, user_id, status FROM users 登入後複製 |
db.users.find(
{ },
{ user_id: 1, status: 1 }
)
登入後複製 |
See find()for more information. |
SELECT user_id, status FROM users 登入後複製 |
db.users.find(
{ },
{ user_id: 1, status: 1, _id: 0 }
)
登入後複製 |
See find()for more information. |
SELECT * FROM users WHERE status = "A" 登入後複製 |
db.users.find(
{ status: "A" }
)
登入後複製 |
See find()for more information. |
SELECT user_id, status FROM users WHERE status = "A" 登入後複製 |
db.users.find(
{ status: "A" },
{ user_id: 1, status: 1, _id: 0 }
)
登入後複製 |
See find()for more information. |
SELECT * FROM users WHERE status != "A" 登入後複製 |
db.users.find(
{ status: { $ne: "A" } }
)
登入後複製 |
See find()and$ne for more information. |
SELECT * FROM users WHERE status = "A" AND age = 50 登入後複製 |
db.users.find(
{ status: "A",
age: 50 }
)
登入後複製 |
See find()and$and for more information. |
SELECT * FROM users WHERE status = "A" OR age = 50 登入後複製 |
db.users.find(
{ $or: [ { status: "A" } ,
{ age: 50 } ] }
)
登入後複製 |
See find()and$or for more information. |
SELECT * FROM users WHERE age > 25 登入後複製 |
db.users.find(
{ age: { $gt: 25 } }
)
登入後複製 |
See find()and$gt for more information. |
SELECT * FROM users WHERE age < 25 登入後複製 |
db.users.find(
{ age: { $lt: 25 } }
)
登入後複製 |
See find()and$lt for more information. |
SELECT * FROM users WHERE age > 25 AND age <= 50 登入後複製 |
db.users.find(
{ age: { $gt: 25, $lte: 50 } }
)
登入後複製 |
See find(),$gt, and $lte formore information. |
SELECT * FROM users WHERE user_id like "%bc%" 登入後複製 |
db.users.find(
{ user_id: /bc/ }
)
登入後複製 |
See find()and$regex for more information. |
SELECT * FROM users WHERE user_id like "bc%" 登入後複製 |
db.users.find(
{ user_id: /^bc/ }
)
登入後複製 |
See find()and$regex for more information. |
SELECT * FROM users WHERE status = "A" ORDER BY user_id ASC 登入後複製 |
db.users.find( { status: "A" } ).sort( { user_id: 1 } )
登入後複製 |
See find()andsort()for more information. |
SELECT * FROM users WHERE status = "A" ORDER BY user_id DESC 登入後複製 |
db.users.find( { status: "A" } ).sort( { user_id: -1 } )
登入後複製 |
See find()andsort()for more information. |
SELECT COUNT(*) FROM users 登入後複製 |
db.users.count() 登入後複製 or db.users.find().count() 登入後複製 |
See find()andcount() formore information. |
SELECT COUNT(user_id) FROM users 登入後複製 |
db.users.count( { user_id: { $exists: true } } )
登入後複製 or
db.users.find( { user_id: { $exists: true } } ).count()
登入後複製 |
See find(),count(), and$exists for more information. |
SELECT COUNT(*) FROM users WHERE age > 30 登入後複製 |
db.users.count( { age: { $gt: 30 } } )
登入後複製 or
db.users.find( { age: { $gt: 30 } } ).count()
登入後複製 |
See find(),count(), and$gt for more information. |
SELECT DISTINCT(status) FROM users 登入後複製 |
db.users.distinct( "status" ) 登入後複製 |
See find()anddistinct()for more information. |
SELECT * FROM users LIMIT 1 登入後複製 |
db.users.findOne() 登入後複製 or db.users.find().limit(1) 登入後複製 |
See find(),findOne(),andlimit()for more information. |
SELECT * FROM users LIMIT 5 SKIP 10 登入後複製 |
db.users.find().limit(5).skip(10) 登入後複製 |
See find(),limit(), andskip() formore information. |
EXPLAIN SELECT * FROM users WHERE status = "A" 登入後複製 |
db.users.find( { status: "A" } ).explain()
登入後複製 |
See find()andexplain()for more information. |
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 登入後複製 |
db.users.update(
{ age: { $gt: 25 } },
{ $set: { status: "C" } },
{ multi: true }
)
登入後複製 |
See update(),$gt, and $set for moreinformation. |
UPDATE users SET age = age + 3 WHERE status = "A" 登入後複製 |
db.users.update(
{ status: "A" } ,
{ $inc: { age: 3 } },
{ multi: true }
)
登入後複製 |
See update(),$inc, and $set for moreinformation. |
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" 登入後複製 |
db.users.remove( { status: "D" } )
登入後複製 |
See remove()for more information. |
DELETE FROM users 登入後複製 |
db.users.remove( ) 登入後複製 | See remove()for more information. |
